CN116058801B

CN116058801B - Evaluation device, evaluation system, and medium for brain function status of autistic children

Info

Publication number: CN116058801B
Application number: CN202310200089.5A
Authority: CN
Inventors: 汪待发; 赵莹; 汪恭正
Original assignee: Huichuang Keyi Beijing Technology Co ltd
Current assignee: Huichuang Keyi Beijing Technology Co ltd
Priority date: 2023-03-06
Filing date: 2023-03-06
Publication date: 2023-11-10
Anticipated expiration: 2043-03-06
Also published as: CN116058801A

Abstract

The present application relates to an evaluation device, an evaluation system and a medium for brain function status of autistic children, the evaluation device comprises: the interface is used for acquiring a blood oxygen concentration data sequence of a target brain region of the autism child which is acquired by the near-infrared brain function imaging equipment and receives rehabilitation treatment when the autism child executes a resting state task; and a processor determining functional connection strength parameters of the target brain region; the collaborative presentation presents a first brain function connection strength parameter associated with a frontal-temporal lobe entry, a second brain function connection strength parameter associated with a frontal-occipital She Tiaomu, a third brain function connection strength parameter associated with a temporal-lobe-occipital She Tiaomu, and a first average brain function connection strength parameter associated with a target brain region average function connection entry. The evaluation device can obtain accurate evaluation data in a resting state task with higher coordination degree of the child patient, and can effectively and objectively evaluate the brain function condition of the autistic children based on the evaluation data.

Description

Evaluation device, evaluation system, and medium for brain function status of autistic children

Technical Field

The application relates to the technical field of near infrared brain function imaging, in particular to an evaluation device, an evaluation system and a medium for brain function conditions of autism children.

Background

Autism spectrum disorder (autismspectrum disorder, ASD), also known as autism, is a common, highly inherited, heterogeneous neurological disorder that severely affects the quality of life of its children. The early effective rehabilitation is helpful for improving the activity capacity and the quality of life of the daily life. Therefore, early diagnosis of brain function dysplasia and dysfunction of children and rehabilitation treatment are social problems to be solved urgently in China.

Currently, the vast majority of assessment tools for early screening and diagnosis of ASD high risk children are based on a large number of observations, interviews and questionnaires, but the method is greatly affected by subjective factors. In order to compensate for the problem of relatively high subjectivity of questionnaires and interview screening diagnosis, although ASD can be checked by functional magnetic resonance imaging (fMRI) or electroencephalogram (EEG), the fMRI and EEG detection methods have obvious defects, such as more requirements on the detected children for ensuring the detection results, but the matching degree of the children is usually not high, and accurate and objective evaluation results are difficult to obtain.

Specifically, the defects of the existing method mainly comprise: observation, interviews, questionnaires and the like are similar in evaluation, and subjective and extrinsic evaluation is most common from the method. The observation results largely depend on whether the infant faithfully reacts to the usual actual behavior, the ability of the observer to distinguish reality from subtle places, and the objective and scientific interpretation ability. Meanwhile, parents 'interviews are a great proportion in ASD evaluation, and parents' love is heart cut, memory omission or wrong memory, etc., can also bring a thicker subjective color to interview results.

Disclosure of Invention

The present application has been made to solve the above-mentioned drawbacks of the prior art. The brain function condition assessment device, the brain function condition assessment system and the brain function condition assessment medium for the autism children are needed, accurate assessment data can be obtained in a resting state task with higher coordination degree of the children suffering from autism, the brain function condition of the autism children can be effectively and objectively assessed based on the comprehensive angle of each assessment data, a user can comprehensively assess the brain function recovery condition of the autism children receiving rehabilitation treatment through the result comparison of each parameter, further an accurate diagnosis result is obtained, and doctors can be guided to carry out auxiliary rehabilitation treatment on the autism children in a targeted mode according to the brain function condition of a specific brain region, so that the treatment effect is improved.

According to a first aspect of the present application, there is provided an evaluation device for evaluating brain function status of an autistic child, at least for evaluating brain function status of an autistic child receiving rehabilitation to assist rehabilitation, characterized by comprising: an interface configured to: acquiring a first blood oxygen concentration data sequence of a frontal lobe, a second blood oxygen concentration data sequence of a temporal lobe and a third blood oxygen concentration data sequence of a occipital lobe of an autistic child which is acquired by near infrared brain function imaging equipment and is subjected to rehabilitation treatment when the autistic child executes a resting state task. And a processor configured to: determining a first brain function connection strength parameter between frontal lobe and temporal lobe, a second brain function connection strength parameter between frontal lobe and occipital lobe, a third brain function connection strength parameter between temporal lobe and occipital lobe, and a first average brain function connection strength parameter of a target brain region including frontal lobe, temporal lobe and occipital lobe based on the first blood oxygen concentration data sequence of frontal lobe, the second blood oxygen concentration data sequence of temporal lobe, and the third blood oxygen concentration data sequence of occipital lobe; the frontal-temporal lobe entry, frontal-occipital She Tiaomu, temporal-occipital lobe entry, and target brain region average functional connection entry are cooperatively presented, and the first brain functional connection strength parameter is presented in association with the frontal-temporal lobe entry, the second brain functional connection strength parameter is presented in association with the frontal-occipital She Tiaomu, the third brain functional connection strength parameter is presented in association with the temporal-occipital She Tiaomu, and the first average brain functional connection strength parameter is presented in association with the target brain region average functional connection entry.

According to a second aspect of the present application, there is provided an evaluation system for evaluating brain function status of at least an autistic child receiving rehabilitation therapy to assist rehabilitation therapy, characterized in that the evaluation system comprises: near-infrared brain function imaging device and evaluation apparatus of the first aspect described above.

According to a third aspect of the present application, there is provided a non-transitory computer-readable storage medium storing a program that causes a processor to execute the steps of: receiving a first blood oxygen concentration data sequence of a frontal lobe, a second blood oxygen concentration data sequence of a temporal lobe, and a third blood oxygen concentration data sequence of a occipital lobe; determining a first brain function connection strength parameter between frontal lobe and temporal lobe, a second brain function connection strength parameter between frontal lobe and occipital lobe, a third brain function connection strength parameter between temporal lobe and occipital lobe, and a first average brain function connection strength parameter of a target brain region including frontal lobe, temporal lobe and occipital lobe based on the first blood oxygen concentration data sequence of frontal lobe, the second blood oxygen concentration data sequence of temporal lobe, and the third blood oxygen concentration data sequence of occipital lobe; the frontal-temporal lobe entry, frontal-occipital She Tiaomu, temporal-occipital lobe entry, and target brain region average functional connection entry are cooperatively presented, and the first brain functional connection strength parameter is presented in association with the frontal-temporal lobe entry, the second brain functional connection strength parameter is presented in association with the frontal-occipital She Tiaomu, the third brain functional connection strength parameter is presented in association with the temporal-occipital She Tiaomu, and the first average brain functional connection strength parameter is presented in association with the target brain region average functional connection entry.

According to the evaluation device, the evaluation system and the medium for the brain function condition of the autism children, provided by the embodiments of the application, through the resting state task, the autism children can obtain more accurate evaluation data under the condition of higher coordination degree; the blood oxygen concentration data sequence of each brain region in the target brain region is obtained through the near infrared brain function imaging device, the brain function connection strength parameter between any two brain regions in the target brain region and the average brain function connection strength parameter of the target brain region are obtained, and the coordination situation between each brain region in the target brain region can be objectively and accurately reflected through the combination of the obtained parameters; therefore, the brain function condition of the autism children can be conveniently and objectively evaluated, doctors can be guided to conduct rehabilitation treatment on the autism children according to the brain function connection level among the brain areas in the target brain areas, and the rehabilitation treatment effect is improved.

Drawings

In the drawings, which are not necessarily drawn to scale, like numerals may describe similar components in different views. The same reference numerals with letter suffixes or different letter suffixes may represent different instances of similar components. The accompanying drawings illustrate various embodiments by way of example in general and not by way of limitation, and together with the description and claims serve to explain the disclosed embodiments. Wherever possible, the same reference numbers will be used throughout the drawings to refer to the same or like parts. Such embodiments are illustrative and not intended to be exhaustive or exclusive of the present apparatus or method.

Fig. 1 is a schematic configuration view showing an evaluation apparatus of brain function status of an autistic child according to an embodiment of the present application;

FIG. 2 is a schematic diagram showing a state of evaluation of brain function status by an autistic child according to an embodiment of the present application;

fig. 3 shows a graphical representation of the collaborative presentation of frontal-temporal lobe entries, frontal-occipital She Tiaomu, temporal-occipital entries and target brain region mean function connection entries, and the collaborative presentation of frontal She Tiaomu, temporal lobe entries, occipital She Tiaomu and global normalized activity entries based on near infrared data (blood oxygen concentration data sequences derived therefrom) according to an embodiment of the present application;

FIG. 4 shows a schematic diagram of a region-to-region connection map between brain regions of a target brain region based on near infrared data, according to an embodiment of the present application;

FIG. 5 shows a schematic diagram of a functional connection map of each channel between brain regions of a target brain region based on near infrared data according to an embodiment of the present application; and

fig. 6 shows a schematic structural diagram of an evaluation system according to an embodiment of the present application.

Detailed Description

The present application will be described in detail below with reference to the drawings and detailed description to enable those skilled in the art to better understand the technical scheme of the present application. Embodiments of the present application will be described in further detail below with reference to the drawings and specific examples, but not by way of limitation.

The terms "first," "second," and the like, as used herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises" and the like means that elements preceding the word encompass the elements recited after the word, and not exclude the possibility of also encompassing other elements.

Fig. 1 is a block diagram showing an evaluation apparatus of brain function status of an autistic child according to an embodiment of the present application. The evaluation device 100 includes: an interface 101 configured to: acquiring a first blood oxygen concentration data sequence of the frontal lobe, a second blood oxygen concentration data sequence of the temporal lobe and a third blood oxygen concentration data sequence of the occipital lobe of an autistic child which is acquired by a near infrared brain function imaging device (shown in fig. 2) and is subjected to rehabilitation therapy when the autistic child performs a resting state task. Note that the evaluation device in the present application may be separate from the near-infrared brain function imaging apparatus or may be integrated in the near-infrared brain function imaging apparatus, and is not particularly limited herein. For example, a processor in the near-infrared brain function imaging device may be caused to execute a method of evaluating the brain function status of an autistic child who has received rehabilitation therapy based on the blood oxygen concentration data series of the frontal lobe, temporal lobe, and occipital lobe described below, and thus the near-infrared brain function imaging device has the function of the evaluation means. For another example, the evaluation means may be disposed in a near-infrared brain function imaging device, and the blood oxygen concentration data series received from the near-infrared brain function imaging device is processed to evaluate the brain function status of the autistic child receiving the rehabilitation therapy.

The data acquired by the near infrared brain function imaging device may be directly transmitted to the interface 101 of the evaluation device 100 through a cable, or may be transmitted to the interface 101 of the evaluation device 100 in a wireless transmission form.

Fig. 2 shows a schematic diagram of a brain function condition evaluation state of an autistic child according to an embodiment of the present application. The resting task may be a task that the autistic child performs in a static condition (i.e., does not perform calculations, recognition, movement, etc.), and is resistant to movement disturbances. During the rest state task execution, only the blood oxygen concentration data sequence of the autism children is needed, the autism children are restrained less, the rest state task execution time can be shorter, for example, 2-5min, preferably 3min, so that the coordination degree of the autism children is improved, and accurate evaluation data can be easily obtained. The data acquired by the near-infrared brain function imaging device are obtained by matching the transmitting probe to the receiving probe, the transmitting probe transmits near-infrared light, the receiving probe can acquire the near-infrared light emitted after passing through a channel between the transmitting probe and the receiving probe, and then the blood oxygen concentration data sequence is obtained based on the optical signal of the acquired near-infrared light. Therefore, the brain function status of the autistic children can be reflected more accurately by the way that the blood oxygen concentration data sequence of the autistic children is collected by the near-infrared brain function imaging device to reflect the cognitive ability of the autistic children.

The evaluation device 100 further comprises a processor 102 configured to: determining a first brain function connection strength parameter between frontal lobe and temporal lobe, a second brain function connection strength parameter between frontal lobe and occipital lobe, a third brain function connection strength parameter between temporal lobe and occipital lobe, and a first average brain function connection strength parameter of a target brain region including frontal lobe, temporal lobe and occipital lobe based on the first blood oxygen concentration data sequence of frontal lobe, the second blood oxygen concentration data sequence of temporal lobe, and the third blood oxygen concentration data sequence of occipital lobe. Wherein, the above-mentioned brain function connection strength parameters and the first average brain function connection strength parameter are all obtained by calculation through pearson correlation coefficients, and are not described herein in detail.

The processor 102 is further configured to: the frontal-temporal lobe entry, frontal-occipital She Tiaomu, temporal-occipital lobe entry, and target brain region average functional connection entry are cooperatively presented, and the first brain functional connection strength parameter is presented in association with the frontal-temporal lobe entry, the second brain functional connection strength parameter is presented in association with the frontal-occipital She Tiaomu, the third brain functional connection strength parameter is presented in association with the temporal-occipital She Tiaomu, and the first average brain functional connection strength parameter is presented in association with the target brain region average functional connection entry. As an example shown in fig. 3, in the display portion of the "feature value", frontal lobe-temporal lobe entries, frontal lobe-occipital She Tiaomu, temporal lobe-occipital entries, and target brain region average function connection entries are displayed in a list manner as the top row of the corresponding columns, and in the corresponding columns, a first brain function connection strength parameter between frontal lobe-temporal lobe is 0.702, a second brain function connection strength parameter between frontal lobe-occipital is 0.686, a third brain function connection strength parameter between temporal lobe-occipital is 0.761, and a first average brain function connection strength parameter of target brain region average function connection is 0.678, respectively.

The manner of presentation of fig. 3 is merely by way of example, and processor 102 may present the corresponding results under the frontal-temporal lobe entries, frontal-occipital She Tiaomu, temporal-occipital entries, and target brain region average functional connection entries, respectively, each entry and its respective corresponding results may be presented in a table format or a box format, etc., and the frontal-temporal lobe entries or other entries may be an item in a table or may be an option format on an interface, etc. The obtained brain function connection strength between the frontal lobe-temporal lobe, the frontal lobe-occipital lobe and the temporal lobe-occipital lobe can respectively reflect the situations of information transmission activity degree, cooperation efficiency and the like between two brain areas. The brain regions of children are in a development period, so that the brain regions of children and adults are different, and therefore, the brain regions of children cannot be evaluated by using an evaluation method of adult brain regions. In particular, autistic children, during their growth to adolescents and adults, may exhibit changes in their brain function states that deviate from or even reverse the childhood phase.

The applicant found that there is a clear difference in the brain function connection level between frontal lobe and temporal lobe, the brain function connection level between frontal lobe and occipital lobe, the brain function connection level between temporal lobe and occipital lobe, and the average brain function connection level of the target brain region including frontal lobe, temporal lobe and occipital lobe compared to the brain function connection level and average brain function connection level of the corresponding brain region of healthy children, and therefore, the brain function connection level between each brain region of frontal lobe, temporal lobe and occipital lobe and the average brain function connection level of the target brain region including the above brain regions are adopted as evaluation indexes, so that the brain function condition of the autistic children can be effectively evaluated.

Moreover, if the brain function condition of the autism children is evaluated by using the first average brain function connection strength parameter alone, the situation that the whole brain area cannot be covered, and the brain function connection level between specific brain areas cannot be known, because even though the average situation may be higher, the brain function condition of individual brain areas is lower, the brain function connection strength parameter of each brain area and the result of the first average brain function connection strength parameter are cooperatively displayed, so that the user can comprehensively evaluate the brain function recovery condition of the autism children receiving the rehabilitation treatment through the result comparison of each parameter, further obtain an accurate diagnosis result, and guide doctors to pertinently perform the rehabilitation treatment on the autism children according to the connection level between the specific brain areas, and further improve the rehabilitation treatment effect. In addition, clinical manifestations of autism children before and after treatment are not greatly different in a short period, treatment confidence of the autism children family members is easily lost, and treatment effects are reduced.

It will be appreciated that the representative brain regions of each of the frontal, temporal and occipital lobes may be used to obtain a sequence of data on the blood oxygen concentration of each of the frontal, temporal and occipital lobes, and further determine the brain function connection strength between each brain region of the frontal, temporal and occipital lobes, and the average brain function connection strength parameters of the target brain regions including the frontal, temporal and occipital lobes.

In some embodiments, representative brain regions of the frontal lobe may include the back of the broka's triangle, the forehead region, the anterior motor cortex and motor aid region, the dorsolateral forehead lobe and the frontal eye movement region; representative brain regions of occipital brain regions may include primary visual cortex and vision uniting cortex; representative brain regions of the temporal lobe brain region may include the temporal central gyrus, the temporal superior gyrus, the central inferior region, the limbic gyrus (stimulating somatosensory cortex), the temporal inferior gyrus, and the temporal polar region. The transmitting probe and the receiving probe cover the important brain areas, so that the brain function conditions of the autism children can be accurately judged through the functional connection strength parameters of the brain areas.

In particular, the applicant collected near infrared data of hundreds of healthy children and autistic children performing the same resting state task, and verified that by obtaining blood oxygen concentration data sequences of the above-mentioned representative brain region of frontal lobe, the above-mentioned representative brain region of occipital lobe and the above-mentioned representative brain region of occipital lobe, the brain function connection strength and average brain function connection strength parameters between the frontal lobe-temporal lobe, frontal lobe-occipital lobe and temporal lobe-occipital lobe respectively, the brain function condition of the autistic children can be obviously distinguished from the healthy children, i.e. the brain function condition of the autistic children can be evaluated more accurately.

The processor 102 may be a dedicated processor or a general-purpose processor. The processor 102 may include one or more known processing devices, such as a microprocessor from the PentiumTM, coreTM, xeonTM or Itanium series of Intel (TM) manufacture, or the like. In addition, the processor 102 may include more than one processor, such as a multi-core design or multiple processors, each having a multi-core design. More specifically, the processor 102 may be a complex instruction set operation (CISC) microprocessor, a reduced instruction set operation (RISC) microprocessor, a Very Long Instruction Word (VLIW) microprocessor, a processor executing other instruction sets, or a processor executing a combination of instruction sets. Processor 102 may also be one or more special purpose processing devices such as an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), a system on a chip (SoC), or the like.

In some embodiments, the first brain function connection strength parameter characterizes a high connection level, a medium connection level, and a low connection level of the frontal-temporal lobe when falling within a high level threshold range, a medium level threshold range, and a low level threshold range, respectively, from large to small. The second brain function connection strength parameter characterizes a high connection level, a medium connection level, and a low connection level of frontal lobe-occipital lobe when falling within a high level threshold range, a medium level threshold range, and a low level threshold range, respectively, from large to small. The third brain function connection strength parameter characterizes a temporal lobe-occipital lobe high, medium and low connection levels when falling within a high, medium and low threshold range from large to small, respectively. The first average brain function connection strength parameter characterizes a high average connection level, a middle average connection level and a low average connection level of frontal lobe, temporal lobe and occipital lobe of a target brain region when the first average brain function connection strength parameter falls in a high-level threshold range, a middle-level threshold range and a low-level threshold range from large to small respectively; the processor 102 is further configured to: and determining that the brain function status of the autistic children is not restored to the health level at least when the first brain function connection strength parameter and the first average brain function connection strength parameter both fall within the respective low-level threshold ranges.

The processor 102 is further configured to: and determining that the brain function status of the autistic children is restored to a healthy level or near-healthy level at least when the first brain function connection strength parameter and the first average brain function connection strength parameter both fall within respective corresponding advanced threshold ranges.

The applicant has found that when the respective brain function connection strength parameter or the first average brain function connection strength parameter falls within the respective corresponding low-level threshold range, a greater probability of determining that the brain function condition of the autistic child has not recovered to a healthy level, and when the respective brain function connection strength parameter or the first average brain function connection strength parameter falls within the respective corresponding high-level threshold range, a greater probability of determining that the brain function condition of the autistic child has recovered to a healthy level or close to a healthy level. The high connection level in the application can represent the information transmission activity condition between brain areas and the cooperative efficiency is at a higher level, and the normal brain function condition can be judged more likely at the moment. The middle connection level may represent that the information transmission between frontal lobe and temporal lobe is active, and the cooperative efficiency is at a medium level, at this time, an accurate judgment result may not be given to the user, and the user may comprehensively judge according to the self condition of the autism child, for example, the autism child may tend to be normal, but has no rest due to factors such as environment, so the brain function connection strength parameter is at a medium level, or the autism child is not recovered, is in an abnormal state, but the brain function connection strength parameter does not perform very poorly. A low connection level may represent an active frontal-temporal lobe information transfer, a low co-operative efficiency, and the like, at which time an abnormal brain function condition may be more likely to be judged.

The applicant further found that the brain function connection level between the frontal lobe and temporal lobe of the autistic children and the average brain function connection level of the target brain region including the frontal lobe, temporal lobe and occipital lobe are more distinct from the brain function connection level of the healthy children than the brain function connection level of the other brain regions, and that the experimental verification shows that the temporal lobe-occipital brain function connection strength parameter of the healthy children does not fall within the corresponding low-level threshold range, and the average brain function connection strength parameter of the frontal lobe, temporal lobe and occipital lobe does not fall within the corresponding low-level threshold range, the temporal lobe-occipital brain function connection strength parameter of the autistic children does not fall within the corresponding high-level threshold range, and the average brain function connection strength parameter of the frontal lobe, temporal lobe and occipital lobe does not fall within the corresponding high-level threshold range. Therefore, the brain function connection level between the frontal lobe and the temporal lobe and the average brain function connection level of the target brain region including the frontal lobe, the temporal lobe and the occipital lobe are simultaneously used as evaluation indexes, so that the user can be helped to make more accurate evaluation, and the reference significance for the user is greater.

In addition, the user can judge the connection level between the frontal lobe and the temporal lobe, the connection level between the frontal lobe and the occipital lobe, the connection level between the temporal lobe and the occipital lobe and the average connection level of the target brain area in a combined way, thereby being beneficial to accurately evaluating the recovery condition of the autism children receiving the recovery treatment and assisting the recovery treatment of the autism children. In addition, after the brain function status of the autism children is comprehensively evaluated according to the average connection level of the target brain area and the connection level of each brain area of the target brain area, the specific brain function connection level between each brain area can be judged according to the connection level between frontal lobe and temporal lobe, the connection level between frontal lobe and occipital lobe and the connection level between temporal lobe and occipital lobe, so that doctors are guided to conduct the rehabilitation treatment of the autism children in a targeted manner, and the treatment effect is improved.

In some embodiments, a user manual is further configured, for example, the user manual may be provided with the evaluation device. In the user manual, a high-level threshold range, a medium-level threshold range and a low-level threshold range corresponding to the first brain function connection strength parameter, the second brain function connection strength parameter, the third brain function connection strength parameter and the first average brain function connection strength parameter respectively can be provided, so that a user can analyze and read actual evaluation parameters by taking the parameters as references. The detection method for the evaluation of the brain function status can be further known to the user based on the user manual. The user can also be assisted in comparing the results of the user manual and the detected functional connection strength parameters to obtain a brain functional connection.

Alternatively, in some embodiments, the processor 102 is further configured to: a high level threshold range, a medium level threshold range, and a low level threshold range corresponding to the first brain function connection strength parameter are presented in association with a frontal lobe-temporal lobe entry, a high level threshold range, a medium level threshold range, and a low level threshold range corresponding to the second brain function connection strength parameter are presented in association with a frontal lobe-pillow She Tiaomu, a high level threshold range, a medium level threshold range, and a low level threshold range corresponding to the third brain function connection strength parameter are presented in association with a temporal lobe-pillow She Tiaomu, and a high level threshold range, a medium level threshold range, and a low level threshold range corresponding to the first average brain function connection strength parameter are presented in association with the target brain region average function connection entry. Thus, the user can quickly compare and analyze the positioning of each actual brain function connection strength parameter relative to each threshold range while focusing on the screen display without transferring the line of sight between the screen display and the user manual.

In some embodiments, the low-level threshold range corresponding to the first brain function connection strength parameter is less than a first preset value, the first preset value being 0.3±0.05; the low-level threshold range corresponding to the first average brain function connection strength parameter is smaller than a second preset value, and the second preset value is 0.32+/-0.05.

In some embodiments, the range of high-level thresholds corresponding to the first brain function connection strength parameter is greater than a first high-level preset value, the first high-level preset value being 0.56±0.05; the range of the high-level threshold corresponding to the first average brain function connection strength parameter is larger than a second high-level preset value, and the second high-level preset value is 0.50+/-0.05.

In a preferred embodiment, the high level threshold range, the medium level threshold range and the low level threshold range employ at least one of the following: the high-level threshold range, the medium-level threshold range and the low-level threshold range corresponding to the first brain function connection strength parameter are respectively greater than or equal to 0.56, greater than or equal to 0.30 and less than 0.56 and less than 0.30. The high-level threshold range, the medium-level threshold range and the low-level threshold range corresponding to the second brain function connection strength parameter are respectively greater than or equal to 0.40, greater than or equal to 0.28 and less than 0.40 and less than 0.28. The high-level threshold range, the medium-level threshold range and the low-level threshold range corresponding to the third brain function connection strength parameter are respectively greater than or equal to 0.42, greater than or equal to 0.21 and less than 0.42 and less than 0.21. The high-level threshold range, the medium-level threshold range and the low-level threshold range corresponding to the first average brain function connection strength parameter are respectively greater than or equal to 0.5, greater than or equal to 0.32 and less than 0.5 and less than 0.32.

It will be appreciated that the boundary values of the high level threshold range, the medium level threshold range and the low level threshold range described in the present application may be adjusted with a smaller deviation according to the boundary values of the corresponding threshold ranges, for example, the deviation may be ±0.05, and the high level threshold range corresponding to the first brain function connection strength parameter may be greater than or equal to 0.60.

Based on the specific values of the parameter ranges of each grade, the user can be more clearly referred, the user can be helped to more accurately read the detection result of the patient, and the recovery condition of the brain function condition of the autism children can be accurately judged. For example, the detection result may generate a report, on which the user may see the detection result (may be a specific parameter value) corresponding to the frontal lobe-temporal lobe entry, the frontal lobe-occipital She Tiaomu, the temporal lobe-occipital entry, and the target brain area average function connection entry, and the threshold ranges of the respective levels, respectively, so that the user may directly compare the detection result with respect to the threshold ranges, and determine the recovery situation of the brain function status of the autistic children conveniently.

In some embodiments, the processor 102 is further configured to: determining a first representative wavelet amplitude of the frontal lobe based on the first blood oxygen concentration data sequence of the frontal lobe, determining a second representative wavelet amplitude of the temporal lobe based on the second blood oxygen concentration data sequence of the temporal lobe, and determining a third representative wavelet amplitude of the occipital lobe based on the third blood oxygen concentration data sequence of the occipital lobe, wherein each of the first, second and third representative wavelet amplitudes is obtained by performing wavelet transformation based on the corresponding blood oxygen concentration data sequence and by performing a representative operation of the amplitudes in a time spectrum within a preset frequency band of the wavelet transformation result. A first average wavelet amplitude value of the target brain region is determined based on the first, second, and third representative wavelet amplitudes, such as, but not limited to, averaging, or weighted combining.

It is understood that the representative brain regions of the frontal lobe, temporal lobe and occipital lobe may be utilized to obtain the blood oxygen concentration data sequences of the frontal lobe, temporal lobe and occipital lobe, and further determine the representative wavelet amplitude value corresponding to each brain region and the first average wavelet amplitude value of the target brain region.

The wavelet transformation process may be to perform complex wavelet transformation on the blood oxygen concentration data sequence to obtain the wavelet transformation result of the blood oxygen concentration data sequence. And then, performing trapezoidal integration on a preset frequency band according to the wavelet transformation result to obtain a wavelet amplitude mean value of the blood oxygen concentration data sequence, namely a representative wavelet amplitude. When the autistic children perform a long-time resting state single task (for example, a resting state task lasting for 3 min), the change of blood oxygen concentration is small, and the brain function recovery condition of the autistic children cannot be estimated by directly calculating the brain activation degree by using the blood oxygen concentration value, but the applicant finds that the recovery condition of the brain function of the autistic children receiving rehabilitation treatment can be reflected by the calculated representative wavelet amplitude value of the preset frequency band. Specifically, the preset frequency band adopted for calculating the representative wavelet amplitude value can be low frequency or ultra-low frequency with 0.1Hz or 0.04Hz as the center, and in the process of executing a long-time resting state singleness by the autism children, the influence of low-frequency drift and physiological noise (breathing, heartbeat and the like) on the neural activity signal of the cortical region can be avoided within the frequency band range, so that more accurate data can be obtained. The wavelet amplitude value obtained by wavelet transformation of the blood oxygen concentration data sequence reflects the brain activity condition of the autism children receiving the rehabilitation treatment and the recovery condition of the brain function so as to assist the rehabilitation treatment.

The applicant found that the wavelet amplitude values of the frontal lobe, occipital lobe and temporal lobe and the average wavelet amplitude value of the upper brain region of the autistic children are different from those of healthy people, and therefore, the wavelet amplitude values of the frontal lobe, occipital lobe and temporal lobe and the average wavelet amplitude value of the upper brain region can be further used as evaluation indexes for evaluating the brain function condition of the autistic children, and the brain function condition of the autistic children can be comprehensively evaluated by combining the brain function connection level among the frontal lobe, temporal lobe and occipital lobe and the brain region and the average brain function connection level of the target brain region including the upper brain region. The brain function connection strength can only determine the brain function condition between brain areas, for example, a user can evaluate the brain function connection strength between frontal lobe and temporal lobe of a autism child through the brain function connection strength, but cannot determine the brain function condition of the frontal lobe or temporal lobe.

In some embodiments, the processor 102 is further configured to: the frontal She Tiaomu, temporal lobe, occipital lobe and target brain region average wavelet amplitude entries are presented cooperatively, and the first representative wavelet amplitude is presented in association with the frontal She Tiaomu, the second representative wavelet amplitude is presented in association with the temporal lobe entry, the third representative wavelet amplitude is presented in association with the occipital She Tiaomu, and the first average wavelet amplitude is presented in association with the target brain region average wavelet amplitude entry. For example, the representative wavelet magnitudes corresponding to the forehead She Tiaomu, temporal lobe, occipital lobe, and target brain region average wavelet magnitude entries, respectively, may be displayed in a tabular form, as shown in fig. 3, below the display of the "eigenvalue", the forehead She Tiaomu, temporal lobe, occipital She Tiaomu, and global brain standardized liveness entries (i.e., target brain region average wavelet magnitude entries) are displayed in a tabular form as the top rows of the corresponding columns, and the first representative wavelet magnitude of the forehead lobe is 0.459, the second representative wavelet magnitude of the temporal lobe is 0.261, and the third representative wavelet magnitude of the occipital lobe is 0.448, respectively, are presented in the corresponding columns. However, this is merely an example, and the "items" throughout the present application represent display items in a user interface, which may be presented in various manners, such as lists, checkboxes, menus, maps, heatmaps, graphical illustrations, bar charts, and the like, without being particularly limited thereto.

Thus, the user can conveniently and comprehensively judge the brain function condition of the autism children receiving the rehabilitation treatment according to the representative wavelet amplitude value condition of each item so as to assist the rehabilitation treatment, and the problem that accurate results can not be obtained due to the fact that the user can independently judge by relying on the results of any item of the forehead She Tiaomu, the temporal lobe item, the pillow She Tiaomu and the whole brain standardized activity level item can be avoided. Because the average wavelet amplitude value of the target brain region may reflect that the brain activity condition of the target brain region is better, but the brain activity condition of a certain brain region may be worse, the collaborative display is convenient for the user to comprehensively judge.

In some embodiments, the first representative wavelet magnitude characterizes a high activity level, a medium activity level, and a low activity level of the frontal lobe when falling within a high activity level threshold range, a medium activity level threshold range, and a low activity level threshold range, respectively, from large to small, and the second representative wavelet magnitude characterizes a high activity level, a medium activity level, and a low activity level of the temporal lobe when falling within a high activity level threshold range, a medium activity level threshold range, and a low activity level threshold range, respectively, from large to small. The third representative wavelet magnitudes characterize high, medium, and low activity levels of occipital lobes when falling within a high, medium, and low activity level threshold range, respectively, from large to small. The first average wavelet magnitude characterizes a high activity level, a medium activity level, and a low activity level of the target brain region when falling within a high activity level threshold range, a medium activity level threshold range, and a low activity level threshold range, respectively, from large to small. The processor 102 is further configured to: at least when the third representative wavelet amplitude falls within a low activity level threshold range corresponding thereto, determining that the brain function condition of the autistic child is restored to a healthy level or close to a healthy level.

In an embodiment, the processor 102 is further configured to: and determining that the brain function status of the autistic children is not restored to the healthy state at least when the third representative wavelet amplitude falls within a high activity level threshold range corresponding thereto.

The higher the wavelet amplitude, the higher the brain activity level is represented, the applicant finds that the wavelet amplitude of the autism children is larger than that of normal people when the rest task is completed, and the brain activity level is high, so that in the three level ranges, the wavelet amplitude can represent that the autism children are more likely to be restored to the health state when the wavelet amplitude falls into the low activity level threshold range, the wavelet amplitude can represent that the autism children have higher probability and still are in the autism when the wavelet amplitude falls into the high activity level threshold range, the brain function restoration condition of the autism children can not be determined when the wavelet amplitude falls into the medium activity level threshold range, and further judgment is needed according to the condition of a patient and experience of a user.

The applicant further found that the representative wavelet amplitude of occipital lobe of autistic children can evaluate brain function recovery of autistic children more accurately and objectively than representative wavelet amplitude of other brain regions, and that the representative wavelet amplitude of occipital lobe of healthy children does not fall into the corresponding high activity level threshold range, and the third representative wavelet amplitude of occipital lobe of autistic children does not fall into the corresponding low activity level threshold range, through experimental verification. Therefore, the representative wavelet amplitude value of the occipital lobe is used as an evaluation index, so that the user can be helped to make more accurate evaluation, and the reference meaning for the user is larger.

In addition, the situations of the threshold range where each group of the first representative wavelet amplitude, the second representative wavelet amplitude, the third representative wavelet amplitude and the first average wavelet amplitude are located can be combined, so that the user can comprehensively evaluate the recovery situation of the autism children receiving the rehabilitation treatment through the result comparison of each parameter, and the auxiliary rehabilitation treatment of the autism children is assisted.

Preferably, the low activity level threshold range corresponding to the third representative wavelet amplitude value is smaller than a third preset value, and the third preset value is 0.88±0.05.

Preferably, the high activity level threshold range corresponding to the third representative wavelet value is greater than a fourth preset value, and the fourth preset value is 1.50-1.71.

In some embodiments, the assessment device may be further configured with a user manual to provide the user manual to a user of the assessment device. And providing in the user manual a high activity level threshold range, a medium activity level threshold range, and a low activity level threshold range corresponding to the first representative wavelet magnitude, the second representative wavelet magnitude, the third representative wavelet magnitude, and the first average wavelet magnitude, respectively. The detection method for the evaluation of the brain function status can be further known to the user based on the user manual. The brain activity may also be obtained by comparison based on the results of the user manual and the detected functional connection strength parameters.

Or the processor 102 is further configured to: a high activity level threshold range, a medium activity level threshold range, and a low activity level threshold range corresponding to the first representative wavelet amplitude value are presented in association with the amount She Tiaomu, a high activity level threshold range, a medium activity level threshold range, and a low activity level threshold range corresponding to the second representative wavelet amplitude value are presented in association with temporal lobe entries, a high activity level threshold range, a medium activity level threshold range, and a low activity level threshold range corresponding to the third representative wavelet amplitude value are presented in association with the pillow She Tiaomu, and a high activity level threshold range, a medium activity level threshold range, and a low activity level threshold range corresponding to the first average wavelet amplitude value are presented in association with the target brain region average wavelet amplitude value entry. Thus, the user can quickly compare and analyze the positioning of the actual representative wavelet amplitude values of each brain region relative to each threshold range while focusing on the screen display without shifting the line of sight between the screen display and the user manual.

Preferably, the high, medium and low activity level threshold ranges employ at least one of: the high, medium, and low activity level threshold ranges corresponding to the first representative wavelet amplitude value are greater than or equal to 0.90, greater than or equal to 0.61, and less than 0.90, and less than 0.61, respectively. The high, medium, and low activity level threshold ranges corresponding to the second representative wavelet amplitude value are greater than or equal to 1.10, greater than or equal to 0.74, and less than 1.10, and less than 0.74, respectively. The high, medium, and low activity level threshold ranges corresponding to the third representative wavelet amplitude value are greater than or equal to 1.71, greater than or equal to 0.88, and less than 1.71, and less than 0.88, respectively. The high activity level threshold range, the medium activity level threshold range, and the low activity level threshold range corresponding to the first average wavelet amplitude value are greater than or equal to 1.07, greater than or equal to 0.93, and less than 1.07, and less than 0.93, respectively.

It is understood that the boundary values of the high activity level threshold range, the medium activity level threshold range and the low activity level threshold range in the present application may be adjusted with a certain deviation according to the boundary values of the corresponding threshold ranges, for example, the high activity level threshold range corresponding to the first representative wavelet amplitude value may be greater than or equal to 0.95.

Based on the specific values of the parameter ranges of the various grades, a user can obtain a more definite comparison result. The method is beneficial to users to accurately read the detection results of patients and accurately judge the recovery condition of the brain function condition of the autism children. For example, the detection result may generate a report, on which the user may see the detection result (may be a specific parameter value) corresponding to the frontal lobe-temporal lobe entry, the frontal lobe-occipital She Tiaomu, the temporal lobe-occipital entry, and the target brain area average function connection entry, and the threshold ranges of the respective levels, respectively, so that the user may compare the detection result with respect to the threshold ranges, and determine the recovery situation of the brain function of the autistic child conveniently.

In some embodiments, the processor 102 is further configured to: and cooperatively presenting the regional connection map of each brain region of the target brain region comprising the frontal lobe, the temporal lobe and the occipital lobe and the functional connection map of each channel of each brain region based on the acquired first blood oxygen concentration data sequence of the frontal lobe, the second blood oxygen concentration data sequence of the temporal lobe and the third blood oxygen concentration data sequence of the occipital lobe. And displaying the functional connection relation of each brain region of the target brain region on the region connection map, and connecting each channel by lines with different colors to represent the functional connection strength of each brain region. And displaying the functional connection relation among the channels of each brain interval on the functional connection map, and marking the functional connection strength among the channels by using image blocks with different colors. As shown in the schematic diagram of the region connection map in fig. 4, the brain function connection intensity conditions between the brain regions in the right occipital lobe, the left occipital lobe, the right temporal lobe, the left temporal lobe, the right frontal lobe and the Zuo Eshe brain region can be seen, and the function connection intensity conditions are represented by the color of the line of the connection between the two brain regions, so that the user can conveniently understand the function connection intensity distribution conditions between the brain regions. As shown in the schematic diagram of the functional connection map in fig. 5, each block represents the functional connection relationship between each channel of two brain regions, and the functional connection strength between each channel is marked by image blocks with different colors, the colors of the image blocks correspond to the functional connection strength, and the distribution condition of the functional connection strength between each channel of each brain region can be illustrated by the distribution condition of the colors of the image blocks.

The processor 102 is further configured to: based on the acquired corresponding blood oxygen concentration data sequences of the frontal lobe, the temporal lobe and the occipital lobe, the functional connection maps of the channels of the target brain region comprising the frontal lobe, the temporal lobe and the occipital lobe are cooperatively presented. The functional connection relation among the channels of the target brain region is displayed on the channel connection map, and the channels are connected by lines with different colors to represent the functional connection strength among the channels, so that a user can conveniently see the functional connection strength condition among the channels corresponding to the lines, and the user can conveniently know the functional connection strength distribution condition of the channels.

If the patterns of the individual brain regions possibly fail to enable the user to grasp the overall recovery distribution of the autism children receiving the rehabilitation therapy, the rehabilitation therapy can be assisted by the aid of the channel connection patterns, the region connection patterns and the functional connection patterns of the brain regions in the target brain regions of the frontal lobe, the temporal lobe and the occipital lobe which are cooperatively presented, so that the user can conveniently understand the overall recovery distribution of the brain regions of the autism children receiving the rehabilitation therapy.

In some embodiments, the interface 101 is further configured to: acquiring a fourth blood oxygen concentration data sequence of a top leaf when the autism children which are acquired by near-infrared brain function imaging equipment and receive rehabilitation treatment execute a resting state task; and the processor 102 is further configured to: and further cooperatively presenting a channel connection map among all channels of the target brain region comprising the frontal lobe, the temporal lobe, the occipital lobe and the parietal lobe, a regional connection map among all brain regions and a functional connection map of all channels among all brain regions based on the obtained fourth blood oxygen concentration data sequence of the parietal lobe.

In some embodiments, as shown in fig. 4 and 5, the regional connection patterns of each brain region of the target brain region including the frontal lobe, temporal lobe, occipital lobe and parietal lobe and the functional connection patterns of each channel of each brain region may also be cooperatively presented for reference by the user.

In some embodiments, the processor 102 is further configured to: in association with the frontal-temporal lobe entry, a control presents the first brain function connection strength parameter prior to receiving the rehabilitation therapy and receiving the rehabilitation therapy. In association with frontal lobe-pillow She Tiaomu, a control presents the second brain function connection strength parameter prior to receiving the rehabilitation therapy and receiving the rehabilitation therapy. In association with temporal lobe-pillow She Tiaomu, a control presents the third brain function connection strength parameter prior to receiving the rehabilitation therapy and receiving the rehabilitation therapy. In association with the target brain region mean functional connection entry, a control presents the first mean brain functional connection strength parameter prior to receiving the rehabilitation therapy and receiving the rehabilitation therapy. For example, the first brain function connection strength parameters before and after rehabilitation therapy are presented on the report corresponding to frontal-temporal lobe entries, so that the user can directly obtain two results on the same report, respectively, and can also facilitate comparison. And the first brain function connection strength parameters before and after rehabilitation can be distinguished (such as marked by different colors) so that the user can better visually compare and check. By synergistically presenting the results of the frontal lobe-temporal lobe item, the frontal lobe-pillow She Tiaomu, the temporal lobe-pillow lobe item and the target brain region average function connection item, the user can comprehensively evaluate the brain function condition of the autism child before receiving the rehabilitation therapy through the result comparison of each parameter, and can compare with the brain function condition of the autism child after receiving the rehabilitation therapy, so as to obtain whether the brain function condition of the autism child before and after receiving the therapy is improved, if the brain function condition is improved, the degree of improvement compared with the degree of improvement before the therapy can be further judged, if the deterioration occurs, the degree of deterioration compared with the degree of deterioration before the therapy can be further judged, and the user can evaluate the treatment effect.

The processor 102 is further configured to: and determining that the brain function status of the autistic children has a tendency to be better at least when the first brain function connection strength parameter and the first average brain function connection strength parameter which receive the rehabilitation therapy are larger than the first brain function connection strength parameter and the first average brain function connection strength parameter before receiving the rehabilitation therapy.

The applicant found that the greater the brain function connection strength parameter of each brain region of the frontal lobe, occipital lobe and temporal lobe or the average brain function connection strength parameter of the target brain region including the frontal lobe, occipital lobe and temporal lobe, the closer the brain function condition of the autistic child can be determined to the health level, whereas the further the brain function condition of the autistic child is from the health level, and the first brain function connection strength of the frontal lobe-temporal lobe and the first average brain function connection strength including the frontal lobe, temporal lobe and occipital lobe can be determined to be more sensitive than the brain function connection strength of the other brain regions to evaluate the brain function condition improvement condition of the autistic child, therefore, the change trend of the brain function condition of the autistic child can be determined by comparing the first brain function connection strength parameter and the change of the first average brain function connection strength parameter before and after receiving the rehabilitation treatment to guide the user to further treat, thereby improving the rehabilitation treatment effect.

In some embodiments, the processor 102 is further configured to: the changes in the first brain function connection strength parameter, the second brain function connection strength parameter, the third brain function connection strength parameter, and the first average brain function connection strength parameter are correspondingly presented in association with the frontal lobe-temporal lobe entry, the frontal lobe-occipital She Tiaomu, the temporal lobe-occipital entry, and the target brain region average function connection entry, respectively, prior to receiving the rehabilitation therapy and the rehabilitation therapy. The change of each parameter can be expressed in the form of change trend of the parameter, such as reduction or enlargement (such as arrow on report), or in the form of specific numerical value difference (such as +1 or-1), so that the change of the brain function connection parameters before and after rehabilitation treatment presented to the user is more visual, and the recovery degree of each part and the whole of the brain area after the patient is treated can be known.

In some embodiments, the processor 102 is further configured to: in association with the amount She Tiaomu, the control presents the first representative wavelet amplitude value prior to receiving the rehabilitation therapy and receiving the rehabilitation therapy. In association with the temporal lobe entry, a control presents the rehabilitation therapy received and the second representative wavelet amplitude prior to receiving the rehabilitation therapy. In association with pillow She Tiaomu, the control presents the third representative wavelet amplitude value prior to receiving the rehabilitation therapy and receiving the rehabilitation therapy. In association with the target brain region mean wavelet amplitude entry, a control presents the first mean wavelet amplitude prior to receiving the rehabilitation therapy and receiving the rehabilitation therapy. For example, the first representative wavelet magnitudes before and after rehabilitation therapy are presented on the report corresponding to frontal-temporal lobe entries so that the user can obtain two results directly on the same report, respectively, and can also facilitate comparison. And the first representative wavelet magnitudes before and after the rehabilitation therapy can be differentially represented (e.g., identified with different colors) so that the user can visually distinguish more for comparison viewing. By synergistically presenting the results of representative wavelet magnitudes of the frontal lobe-temporal lobe entry, the frontal lobe-pillow She Tiaomu, the temporal lobe-pillow entry and the target brain region average wavelet magnitude entry, a user can comprehensively evaluate the brain activity condition of the autism children before receiving the rehabilitation therapy through the result comparison of each parameter, and can compare the brain activity condition of the autism children after receiving the rehabilitation therapy with the brain activity condition of the autism children before and after receiving the rehabilitation therapy to obtain whether the brain activity condition of the autism children is improved or not, if so, the improvement can be further judged, and if the deterioration occurs, the deterioration degree compared with the pre-therapy can be further judged, and the user can evaluate the treatment effect.

The processor 102 is further configured to: determining that the brain function condition of the autistic child has a tendency to be good at least when the third representative wavelet amplitude that received the rehabilitation therapy is smaller than the third representative wavelet amplitude before receiving the rehabilitation therapy.

The applicant found that the smaller the representative wavelet magnitudes of the brain regions of the frontal, occipital and temporal lobes or the first average wavelet magnitudes of the target brain regions including the frontal, occipital and temporal lobes, the closer the brain function condition of the autistic child can be determined to the healthy level, whereas the further the brain function condition of the autistic child is from the healthy level, and the change in the third representative wavelet magnitudes of the occipital lobe can be compared to the changes in the representative wavelet magnitudes or the first average wavelet magnitudes of the other brain regions to more sensitively evaluate the improvement condition of the brain function condition of the autistic child, and therefore, the change trend of the brain function condition of the autistic child can be determined by comparing the changes in the third representative wavelet magnitudes of the autistic child before and after receiving rehabilitation treatment, thereby guiding the user to further treatment and improving the rehabilitation treatment effect.

In some embodiments, the processor 102 is further configured to: the first representative wavelet amplitude, the second representative wavelet amplitude, the third representative wavelet amplitude, and the first average wavelet amplitude change are correspondingly presented in association with a frontal She Tiaomu, temporal lobe entry, occipital lobe entry, and target brain region average wavelet amplitude entry, respectively, as compared to prior to receiving the rehabilitation therapy and prior to receiving the rehabilitation therapy. The change of each parameter can be expressed in the form of change trend of the parameter, such as reduction or enlargement (such as arrow on report), or in the form of specific numerical value difference (such as +1 or-1), so that the change of representative wavelet amplitude before and after rehabilitation treatment presented to the user is more visual, and the rehabilitation degree of each part and whole of the brain area after the patient is treated can be known.

In some embodiments, the processor 102 is further configured to: highlighting or identifying the frontal-temporal lobe entry and the target brain region average function connection entry. The functional connection strength of the frontal lobe-temporal lobe item and the target brain area average functional connection item is used as an important reference index for evaluating the brain function condition of the autistic children, and the detection results of the two items can be changed obviously when the brain function condition is abnormal or improved. The user can use the data as an important reference index, and other items can be used as the basis for auxiliary judgment for the user, so that the user also needs to comprehensively judge to improve the accuracy.

In some embodiments, the processor 102 is further configured to: the pillows She Tiaomu are highlighted or identified so that a user can quickly locate important assessment indicators associated with the occipital lobes.

The present application also provides an evaluation system for brain function status of an autistic child, at least for evaluating brain function status of an autistic child receiving rehabilitation therapy to assist rehabilitation therapy, the evaluation system 600 comprising: near infrared brain function imaging device 602 and evaluation apparatus 601 according to any of the embodiments of the present application. The evaluation system has the effect of the evaluation device 601 of any embodiment of the application, and can facilitate the user to comprehensively evaluate the recovery condition of the autism children receiving the recovery treatment through various parameters or representative result comparison, thereby guiding the user to carry out the recovery treatment on the autism children in a targeted manner.

The present application also provides a non-transitory computer readable storage medium storing a program that causes a processor to perform a method of assessing brain functional status of an autistic child receiving rehabilitation therapy based on a frontal lobe, temporal lobe, and occipital lobe blood oxygen concentration data sequence according to various embodiments of the present application. Any examples and details of the method described above may be incorporated herein and are not described in detail herein.

For example, the method comprises at least the steps of: receiving a first blood oxygen concentration data sequence of a frontal lobe, a second blood oxygen concentration data sequence of a temporal lobe and a third blood oxygen concentration data sequence of a occipital lobe; determining a first brain function connection strength parameter between frontal lobe and temporal lobe, a second brain function connection strength parameter between frontal lobe and occipital lobe, a third brain function connection strength parameter between temporal lobe and occipital lobe, and a first average brain function connection strength parameter of a target brain region including frontal lobe, temporal lobe and occipital lobe based on the first blood oxygen concentration data sequence of frontal lobe, the second blood oxygen concentration data sequence of temporal lobe, and the third blood oxygen concentration data sequence of occipital lobe; the frontal-temporal lobe entry, frontal-occipital She Tiaomu, temporal-occipital lobe entry, and target brain region average functional connection entry are cooperatively presented, and the first brain functional connection strength parameter is presented in association with the frontal-temporal lobe entry, the second brain functional connection strength parameter is presented in association with the frontal-occipital She Tiaomu, the third brain functional connection strength parameter is presented in association with the temporal-occipital She Tiaomu, and the first average brain functional connection strength parameter is presented in association with the target brain region average functional connection entry. By executing the non-transitory computer readable storage medium, the user can conveniently and comprehensively evaluate the recovery condition of the autism children receiving the recovery treatment through the result comparison of each parameter, thereby assisting the auxiliary recovery treatment of the autism children.

Furthermore, although exemplary embodiments have been described herein, the scope thereof includes any and all embodiments having equivalent elements, modifications, omissions, combinations (e.g., of the various embodiments across), adaptations or alterations as pertains to the present application. The elements in the claims are to be construed broadly based on the language employed in the claims and are not limited to examples described in the present specification or during the practice of the application, which examples are to be construed as non-exclusive. Accordingly, it is intended that the specification and examples be considered as exemplary only.

The above description is intended to be illustrative and not restrictive. For example, the above-described examples (or one or more aspects thereof) may be used in combination with each other. For example, other embodiments may be used by those of ordinary skill in the art upon reading the above description. In addition, in the above detailed description, various features may be grouped together to streamline the application. This is not to be interpreted as an intention that the features of the non-claimed application are essential to any claim. Rather, the inventive subject matter may lie in less than all features of a particular disclosed embodiment. The scope of the application should be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.

The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application, the scope of which is defined by the claims. Various modifications and equivalent arrangements of this application will occur to those skilled in the art, and are intended to be within the spirit and scope of the application.

Claims

1. An evaluation device for evaluating a brain function status of an autistic child, at least for evaluating a brain function status of an autistic child receiving rehabilitation to assist rehabilitation, characterized in that the evaluation device comprises:

an interface configured to: acquiring a first blood oxygen concentration data sequence of a frontal lobe, a second blood oxygen concentration data sequence of a temporal lobe and a third blood oxygen concentration data sequence of a occipital lobe of an autism child which is acquired by near infrared brain function imaging equipment and is subjected to rehabilitation treatment when the autism child executes a resting state task; and

a processor configured to:

determining a first brain function connection strength parameter between frontal lobe and temporal lobe, a second brain function connection strength parameter between frontal lobe and occipital lobe, a third brain function connection strength parameter between temporal lobe and occipital lobe, a first average brain function connection strength parameter of a target brain region including frontal lobe, temporal lobe and occipital lobe based on the first blood oxygen concentration data sequence of frontal lobe, the second blood oxygen concentration data sequence of temporal lobe, and the third blood oxygen concentration data sequence of occipital lobe;

Cooperatively presenting a frontal-temporal lobe entry, a frontal-occipital She Tiaomu, a temporal-occipital lobe entry, and a target brain region average functional connection entry, and presenting the first brain functional connection strength parameter in association with a frontal-temporal lobe entry, the second brain functional connection strength parameter in association with a frontal-occipital She Tiaomu, the third brain functional connection strength parameter in association with a temporal-occipital She Tiaomu, the first average brain functional connection strength parameter in association with the target brain region average functional connection entry;

determining a third representative wavelet amplitude value of the occipital lobe based on a third blood oxygen concentration data sequence of the occipital lobe, wherein the third representative wavelet amplitude value is obtained by performing wavelet transformation based on a corresponding blood oxygen concentration data sequence, performing trapezoidal integration on a preset frequency band according to a wavelet transformation result, and calculating a wavelet amplitude value mean value based on a trapezoidal integration result of the preset frequency band;

the third representative wavelet amplitude falling within a low activity level threshold range characterizes a low activity level of occipital lobes,

at least when the third representative wavelet amplitude falls within a low activity level threshold range corresponding thereto, determining that the brain function condition of the autistic child is restored to a healthy level or close to a healthy level.

2. The assessment device according to claim 1, wherein the first brain function connection strength parameter characterizes a high connection level, a medium connection level and a low connection level of frontal-temporal lobes when falling within a high level threshold range, a medium level threshold range and a low level threshold range, respectively, from large to small,

the second brain function connection strength parameter characterizes a high connection level, a medium connection level and a low connection level of frontal lobe-occipital lobe when falling within a high level threshold range, a medium level threshold range and a low level threshold range from large to small, respectively,

the third brain function connection strength parameter characterizes a temporal lobe-occipital lobe high, medium and low connection levels when falling within a high, medium and low threshold range from large to small, respectively,

the first average brain function connection strength parameter characterizes a high average connection level, a middle average connection level and a low average connection level of frontal lobe, temporal lobe and occipital lobe of a target brain region when the first average brain function connection strength parameter falls in a high-level threshold range, a middle-level threshold range and a low-level threshold range from large to small respectively;

the processor is further configured to: and determining that the brain function status of the autistic children is not restored to the health level at least when the first brain function connection strength parameter and the first average brain function connection strength parameter both fall within the respective low-level threshold ranges.

3. The assessment device according to claim 2, wherein the low-level threshold range corresponding to the first brain function connection strength parameter is smaller than a first preset value, the first preset value being 0.3±0.05;

the low-level threshold range corresponding to the first average brain function connection strength parameter is smaller than a second preset value, and the second preset value is 0.32+/-0.05.

4. The evaluation device of claim 1, wherein the processor is further configured to:

determining a first representative wavelet amplitude of the frontal lobe based on the first blood oxygen concentration data sequence of the frontal lobe, determining a second representative wavelet amplitude of the temporal lobe based on the second blood oxygen concentration data sequence of the temporal lobe, and wherein the first representative wavelet amplitude and the second representative wavelet amplitude are each obtained by performing wavelet transformation based on the corresponding blood oxygen concentration data sequence and by performing a representative operation of the amplitude in a time spectrum within a preset frequency band of a wavelet transformation result;

determining a first average wavelet amplitude for the target brain region based on the first, second, and third representative wavelet amplitudes;

The frontal She Tiaomu, temporal lobe, occipital lobe and target brain region average wavelet amplitude entries are presented cooperatively, and the first representative wavelet amplitude is presented in association with the frontal She Tiaomu, the second representative wavelet amplitude is presented in association with the temporal lobe entry, the third representative wavelet amplitude is presented in association with the occipital She Tiaomu, and the first average wavelet amplitude is presented in association with the target brain region average wavelet amplitude entry.

5. The assessment device according to claim 4, wherein the first representative wavelet magnitudes characterize high, medium and low activity levels of frontal lobes when falling within a high, medium and low activity level threshold range, respectively, from large to small,

the second representative wavelet magnitudes characterize high, medium and low activity levels of the temporal lobe when falling within a high, medium and low activity level threshold range from large to small, respectively,

the third representative wavelet magnitudes characterize high and medium activity levels of occipital lobes when falling within a high and medium activity level threshold range from large to small, respectively,

The first average wavelet magnitude characterizes a high activity level, a medium activity level, and a low activity level of the target brain region when falling within a high activity level threshold range, a medium activity level threshold range, and a low activity level threshold range, respectively, from large to small.

6. The evaluation device according to claim 5, wherein the low activity level threshold range corresponding to the third representative wavelet amplitude value is smaller than a third preset value, the third preset value being 0.88±0.05.

7. The evaluation device according to claim 5 or 6, characterized in that a user manual is further configured, and a high-level threshold range, a medium-level threshold range, and a low-level threshold range corresponding to each brain function connection strength parameter and the first average brain function connection strength parameter, respectively, are provided in the user manual;

and/or within a high activity level threshold range, a medium activity level threshold range, and a low activity level threshold range corresponding to each representative wavelet magnitude and the first average wavelet magnitude, respectively.

8. The evaluation device of claim 1, wherein the processor is further configured to: based on the acquired first blood oxygen concentration data sequence of the frontal lobe, the acquired second blood oxygen concentration data sequence of the temporal lobe and the acquired third blood oxygen concentration data sequence of the occipital lobe, cooperatively presenting the regional connection map of each brain interval of the target brain regions comprising the frontal lobe, the temporal lobe and the occipital lobe and the functional connection map of each channel of each brain interval;

Displaying the functional connection relation of each brain region of the target brain region on the region connection map, and connecting each channel by lines with different colors to represent the functional connection strength of each brain region;

and displaying the functional connection relation among the channels of each brain interval on the functional connection map, and marking the functional connection strength among the channels by using image blocks with different colors.

9. The evaluation device of claim 1, wherein the processor is further configured to:

in association with the frontal-temporal lobe entry, a control presents the first brain function connection strength parameter prior to receiving rehabilitation therapy and receiving rehabilitation therapy;

in association with the frontal lobe-pillow She Tiaomu, a control presents the second brain function connection strength parameter prior to receiving rehabilitation therapy and receiving rehabilitation therapy;

in association with temporal lobe-pillow She Tiaomu, a control presents the third brain function connection strength parameter prior to receiving rehabilitation therapy and receiving rehabilitation therapy;

in association with the target brain region mean functional connection entry, a control presentation is received with rehabilitation therapy and the first mean brain functional connection strength parameter prior to receiving rehabilitation therapy;

Determining that the brain function status of the autistic children has a preferential trend at least when the first brain function connection strength parameter and the first average brain function connection strength parameter, which have received the rehabilitation therapy, are both greater than the first brain function connection strength parameter and the first average brain function connection strength parameter prior to receiving the rehabilitation therapy.

10. The evaluation device of claim 5, wherein the processor is further configured to:

in association with the amount She Tiaomu, the control presents the first representative wavelet amplitude value prior to receiving rehabilitation therapy and receiving rehabilitation therapy;

in association with the temporal lobe entry, a control presents the second representative wavelet amplitude prior to receiving rehabilitation therapy and receiving rehabilitation therapy;

in association with pillow She Tiaomu, the control presents the third representative wavelet amplitude value prior to receiving rehabilitation therapy and receiving rehabilitation therapy;

in association with the target brain region mean wavelet amplitude entry, a control presents the first mean wavelet amplitude prior to receiving rehabilitation therapy and receiving rehabilitation therapy;

determining that the brain function condition of the autistic child has a tendency to favor at least when the third representative wavelet amplitude that received the rehabilitation therapy is smaller than the third representative wavelet amplitude before receiving the rehabilitation therapy.

11. An evaluation system for brain function status of an autistic child, at least for evaluating brain function status of an autistic child receiving rehabilitation to aid rehabilitation, characterized in that the evaluation system comprises: near infrared brain function imaging device and evaluation apparatus according to any one of claims 1 to 10.

12. A non-transitory computer readable storage medium storing a program that causes a processor to execute the steps of:

receiving a first blood oxygen concentration data sequence of a frontal lobe, a second blood oxygen concentration data sequence of a temporal lobe and a third blood oxygen concentration data sequence of a occipital lobe;

determining a first brain function connection strength parameter between frontal lobe and temporal lobe, a second brain function connection strength parameter between frontal lobe and occipital lobe, a third brain function connection strength parameter between temporal lobe and occipital lobe, and a first average brain function connection strength parameter of a target brain region including frontal lobe, temporal lobe and occipital lobe based on the first blood oxygen concentration data sequence of frontal lobe, the second blood oxygen concentration data sequence of temporal lobe, and the third blood oxygen concentration data sequence of occipital lobe;