CN106037645A - Near-infrared brain imaging spectrum classifying method based on cognition task testing - Google Patents

Near-infrared brain imaging spectrum classifying method based on cognition task testing Download PDF

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CN106037645A
CN106037645A CN201610342318.7A CN201610342318A CN106037645A CN 106037645 A CN106037645 A CN 106037645A CN 201610342318 A CN201610342318 A CN 201610342318A CN 106037645 A CN106037645 A CN 106037645A
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刘破资
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Qinghua University
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    • A61B5/0042Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part for the brain
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems

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Abstract

The invention discloses a near-infrared brain imaging spectrum classifying method based on cognition task testing. A near-infrared brain imaging spectrum at least comprises a first curve corresponding to the oxyhemoglobin concentration and a second curve corresponding to the deoxygenated hemoglobin concentration. The classifying method comprises the following specific steps: 1, reading the near-infrared brain imaging spectrum obtained by a near-infrared brain imager, and extracting the waveform characteristics of the first curve and the second curve of the near-infrared brain imaging spectrum; and 2, comparing the waveform characteristics obtained in the step 1 with a preset value, and classifying the near-infrared brain imaging spectrum according to the comparison result. The near-infrared brain imaging spectrum classifying method based on the cognition task testing provided by the invention can be applied to the fundamental research in the field of psychology or applied to the clinic for automatically classifying the near-infrared brain imaging spectrum.

Description

Near-infrared Brain imaging spectral classification method based on Cognitive task test
Technical field
The present invention relates to a kind of image processing method, particularly relate to Near-infrared Brain image based on Cognitive task test Profile classification method.The method can be applicable in the basic research of psychological field or clinical practice enter Near-infrared Brain imaging collection of illustrative plates Row classification automatically.
Background technology
At present, the identification of the mental symptoms of mental maladjustment, analysis mainly follow " symptom-syndrome-disease with discrimination process History " pattern, mainly rely on the empirical diagnosis of symptom identification, also lack the skill that accessory symptom identifies easily clinically Art.Along with such as function near infrared spectrum Brian Imaging (fNIRS), functional magnetic resonance (fMRI), positron emission tomography The gradually application of the non-invasive detection methods such as art (PET) and single electron emission tomography imagery (SPECT), has deepened research worker Pathogeny and the understanding of lysis to mental maladjustment patient.Such as, so it is now established that the Forehead function of patients with depression Image has exception.But due to more or less have when the equipment such as fMRI, PET, SPECT uses such as volume bigger than normal, on the high side, Noise is big, time length, do not tolerate, to put under house arrest the aspects such as (may affect test result) and unnatural (possibility affect test result) former Cause, does not therefore obtain the clinical practice of reality during current mental maladjustment diagnosis.
Near infrared spectrum Brian Imaging (fNIRS) technology, its ultimate principle is due to the wavelength of near infrared light 700-1400nm Can pass through skull 2-3cm, wherein 780nm is deoxidized hemoglobin (Deoxy-Hb) and absorbs and scatter, and 830nm is by oxygenated blood Lactoferrin (Oxy-Hb)) absorb and scatter, this activity that can indirectly reflect cerebral cortical neuron and brain cognitive function are movable.Compare Compared with several brain imaging technique of others as discussed above, fNIRS has the operation low, easy of quiet noiseless, use cost and dimension Protect and to plurality of advantages such as tested restriction are few, the most gradually become the important imaging means in this field.But function is the reddest External spectrum Brian Imaging gained collection of illustrative plates is typically difficult to identification, intricate operation, and user is difficult to effectively understand use.Specifically, with In mental maladjustment clinical research based on Cognitive task test as a example by, in existing traditional collection of illustrative plates classifying and analyzing method, many Be comparison average after the oxy-Hb concentration difference of task phase and quiescent stage or use topography (Topographic map), between coming Connect reflecting regional cortex activation situation (Noda et al, 2012;Liu et al, 2014), although obtain some and find, but Be average after mask some information, fail to reflect oxy-Hb, deoxy-Hb (ecological effect) over time.Furthermore, by Having the advantages that temporal resolution is high in NIRS, if conventionally continuing to use the data Explanation way of fMRI, then can not Give full play to it and measure the feature that when subjects completes psychology task, cortex oxygenate and deoxyhemoglobin change in real time, and Hemoglobin transformational relation under task status.
Therefore, need a kind of collection of illustrative plates badly to understand and sorting technique so that in the psychology tasks such as such as Cognitive task test, quilt The Near-infrared Brain imaging collection of illustrative plates of tester can reasonably be classified, and then further to mental maladjustment of the person that facilitates related work Clinical practice after further investigation and promotion.
Summary of the invention
The problems referred to above existed in view of prior art, it is an object of the invention to provide a kind of based on Cognitive task test Near-infrared Brain image profile classification method, the method can be implemented in the stimulation of default multinomial Cognitive task in now, to even The Near-infrared Brain imaging collection of illustrative plates that the continuous person under inspection's brain obtained is corresponding, carries out later stage process and classifies according to waveform, convenient Carry out next step research work.
To achieve these goals, a kind of based on Cognitive task test the Near-infrared Brain imaging collection of illustrative plates that the present invention provides divides Class method, at least includes the first curve corresponding to HbO2 Oxyhemoglobin concentration and corresponding to de-in this Near-infrared Brain imaging collection of illustrative plates Second curve of oxygen hemoglobin concentration, these sorting technique concrete steps include:
First step, reads the Near-infrared Brain imaging collection of illustrative plates that Near-infrared Brain imager obtains, and extracts described Near-infrared Brain The first curve and the wave character of the second curve as collection of illustrative plates;
Second step, the described wave character obtained by first step and preset value compare and according to comparative result pair Described Near-infrared Brain imaging collection of illustrative plates is classified.
In the present invention, the extraction of the wave character of Near-infrared Brain imaging collection of illustrative plates is mainly by existing mathematical method pair Waveform carries out feature analysis based on digital signal, such as Fourier transformation, Hilbert transform, Gabor transformation and small echo Conversion etc..
As preferably, described wave character includes a phase, wave amplitude, frequency or trend.
As preferably, described Cognitive task is included in the Emotional Picture task of execution, language fluency in the special time cycle Task, to referring to motor task and symptom picture task (seeing that figure describes).In the present invention, Emotional Picture task is as proving ring The adaptability task in border.Language fluency task (VFT) is to be commonly used to detection word retrieval in industry to perform function with language Means of testing;To referring to that motor task is to check prefrontal lobe and the motor adjustment function of motor region;Symptom picture stimulates task for inspection Survey prefrontal lobe mood regulation function.Stimulated by Cognitive task, the activation pattern of mental maladjustment patient's prefrontal lobe can be detected.
As preferably, the time cycle module of described Cognitive task include the task of lasting 15s before quiescent stage, continue 30s The task phase and continue 15s task after quiescent stage.General 4-5 stimulating module is combined into the stimulation of one group of equivalence Cognitive task Normal form.This block combiner normal form ensure that the quiescent stage having 30 seconds between two task phases.Language fluency task is moved with to finger The combination of task stimulating module is respectively 4 times, each 4 minutes of general assignment duration.Symptom picture task (seeing that figure describes) stimulating module combines It is 5 times, general assignment duration 5 minutes.
As preferably, in described second step, specifically classify according to following steps:
1) position phase step is judged: according to described first curve with the relative position relation of described second curve to described the reddest External-brain's imaging collection of illustrative plates carries out a phase labelling;
2) judge waveform step: according to described first curve and the wave amplitude in described second curve must in office, frequency and/ Or trend carries out wave label to described Near-infrared Brain imaging collection of illustrative plates;
3) according to institute's rheme phase labelling and wave label, the hyperbola of positive in described Near-infrared Brain imaging collection of illustrative plates is added up Waveform, high wave amplitude waveform and the opening waveform of positive, and the low flat waveform of negative, intersection separation waveform and the opening shape of negative Waveform, positive height wave amplitude waveform and positive opening waveform, and then calculate waveform composition ratio and according to described according to statistical result Waveform constitutes Near-infrared Brain imaging collection of illustrative plates described in comparison and classifies.
Specifically, can constitute than maximum waveform as classification reference according to waveform.Such as, positive hyperbolic waveform It is the highest that waveform constitutes ratio, then this collection of illustrative plates can be categorized as positive hyperbolic waveform collection of illustrative plates.Remaining is not difficult to judge by that analogy, The sorting technique proposed according to the present invention, can pass through this based on the produced Near-infrared Brain imaging collection of illustrative plates of Cognitive task test Bright technical scheme is at least divided into 6 classes, i.e. positive hyperbolic waveform collection of illustrative plates, the low flat waveform collection of illustrative plates of negative, negative intersection to separate ripple Shape collection of illustrative plates, negative opening shape waveform collection of illustrative plates, positive height wave amplitude waveform collection of illustrative plates and positive opening shape waveform collection of illustrative plates.
Present invention also offers the another kind of embodiment for the classification of Near-infrared Brain imaging collection of illustrative plates, in this process, Be different from previous embodiment, in the second step, the described wave character that first step is obtained with compare in spectrum library Comparison collection of illustrative plates directly compares, and then classifies described Near-infrared Brain imaging collection of illustrative plates according to comparative result.
As preferably, described comparison collection of illustrative plates includes that the low flat waveform collection of illustrative plates of positive hyperbolic waveform collection of illustrative plates, negative, negative intersect Separate waveform collection of illustrative plates, negative opening shape waveform collection of illustrative plates, positive height wave amplitude waveform collection of illustrative plates and positive opening shape waveform collection of illustrative plates.
Near-infrared Brain image profile classification method based on Cognitive task test provided by the present invention, can be applicable to medical science In the basic research in field or clinical practice, Near-infrared Brain imaging collection of illustrative plates is classified automatically.Cognitive task stimulation in Now, the Near-infrared Brain imaging collection of illustrative plates of high reference value is obtained after classification, it is simple to understand and use.Such as, one group of survey In examination, by statistics through the ratio shared by the various Near-infrared Brain imaging collection of illustrative plates of classification, mental maladjustment may be disclosed at image On concrete manifestation, there is higher researching value and commercial promise.
Accompanying drawing explanation
Fig. 1 is the flow chart of the Near-infrared Brain image profile classification method based on Cognitive task test of the present invention.
Fig. 2 is another embodiment of the Near-infrared Brain image profile classification method based on Cognitive task test of the present invention Flow chart.
Fig. 3 is a further embodiment of the Near-infrared Brain image profile classification method based on Cognitive task test of the present invention Flow chart.
Fig. 4 be the Near-infrared Brain image profile classification method based on Cognitive task test of the present invention sort out typical the most just Phase hyperbolic waveform collection of illustrative plates.
Fig. 5 is that the negative of the Near-infrared Brain image profile classification method classification based on Cognitive task test of the present invention is low flat Waveform collection of illustrative plates.
Fig. 6 is that the negative of the classification of the Near-infrared Brain image profile classification method based on Cognitive task test of the present invention is handed over Fork separates waveform collection of illustrative plates.
Fig. 7 is that the negative of the classification of the Near-infrared Brain image profile classification method based on Cognitive task test of the present invention is opened Mouth shape waveform collection of illustrative plates.
Fig. 8 is that the positive of the classification of the Near-infrared Brain image profile classification method based on Cognitive task test of the present invention is high Wave amplitude waveform collection of illustrative plates.
Fig. 9 is that the positive of the classification of the Near-infrared Brain image profile classification method based on Cognitive task test of the present invention is opened Mouth shape waveform collection of illustrative plates.
Detailed description of the invention
Referring to the drawings technical scheme proposed by the invention is further described in detail.
As it is shown in figure 1, a kind of based on Cognitive task test the Near-infrared Brain image profile classification method that the present invention provides, This Near-infrared Brain imaging collection of illustrative plates at least includes the first curve corresponding to HbO2 Oxyhemoglobin concentration and corresponding to deoxidation blood red Second curve of protein concentration, as a rule, in collection of illustrative plates, the first curve generally represents with red curve, and the second curve is then Generally represent with blueness;These sorting technique concrete steps that the present invention provides include:
First step, reads the Near-infrared Brain imaging collection of illustrative plates that Near-infrared Brain imager (the most not shown) obtains, and extracts First curve of described Near-infrared Brain imaging collection of illustrative plates and the wave character of the second curve;Wave character herein generally can include The first curve in described Near-infrared Brain imaging collection of illustrative plates and position phase, wave amplitude, frequency or the trend etc. of the second curve.For in collection of illustrative plates The first curve and the identification of ripple feature of the second curve existing spectrum recognition algorithm, such as Fourier can be used to become Change, Hilbert transform, Gabor transformation and wavelet transformation etc..And for directly comparing between two width collection of illustrative plates, it is also possible to adopt Compare by binaryzation or represented as histograms carries out similarity system design.
After completing above-mentioned first step, in the second step, can by first step obtain described wave character with Preset value compares and classifies described Near-infrared Brain imaging collection of illustrative plates according to comparative result.In this step, preset The setting of value is that the wave character according to artificial selected standard control collection of illustrative plates is determined.Such as, if with the figure shown in Fig. 3 Spectrum as comparison collection of illustrative plates words, can the most artificially determine this as comparison collection of illustrative plates position phase, wave amplitude, frequency or trend and respectively as Preset value stores.Equally infer, for such as the collection of illustrative plates of Fig. 4 to Fig. 9, it is also desirable to corresponding many group positions phase, ripple The preset value of width, frequency or trend.In this way, collection of illustrative plates classification can be carried out by accurate for any collection of illustrative plates, it is simple to after Continuous related work person makes specific aim and understands.
Fig. 2 and Fig. 3 gives other two kinds of detailed description of the invention of the present invention.
In the present invention, Emotional Picture task is the adaptability task as experimental enviroment.Language fluency task (VFT) is The means of testing of detection word retrieval and language execution function it is commonly used in industry;To refer to motor task for check prefrontal lobe with The motor adjustment function of motor region;Symptom picture stimulates task for detection prefrontal lobe mood regulation function.Psychology barrier can be detected Hinder the activation pattern of patient's prefrontal lobe.Described Cognitive task is included in the Emotional Picture task of execution, language in the special time cycle Say smooth task, to referring to that motor task and symptom picture stimulate task.The time cycle of described Cognitive task includes lasting 15s's Quiescent stage after the task of quiescent stage, the task phase of lasting 30s and lasting 15s before task.Also include that 4-5 stimulating module is combined into The stimulation normal form of one group of equivalence Cognitive task.This block combiner normal form ensure that the quiescent stage having 30 seconds between two task phases. Language fluency task with to refer to motor task stimulating module combination be respectively 4 times, each 4 minutes of general assignment duration.Symptom picture task (seeing that figure describes) stimulating module is combined as 5 times, general assignment duration 5 minutes.
Further, in described second step, specifically classify according to following steps:
1) position phase step is judged: according to described first curve with the relative position relation of described second curve to described the reddest External-brain's imaging collection of illustrative plates carries out a phase labelling;Specifically, when the position of described first curve is higher than described second curve, it is labeled as Positive;Otherwise then it is labeled as negative;
2) judge waveform step: according to described first curve and the wave amplitude in described second curve must in office, frequency and/ Or trend carries out wave label to described Near-infrared Brain imaging collection of illustrative plates;
Specifically, corresponding to the task phase of Cognitive task test, obvious crest occurs, and wave amplitude appropriateness (1/3 with In), it is labeled as hyperbolic waveform, otherwise is then labeled as low flat waveform;To the first curve and the second curve overall trend opening shape , it is labeled as opening waveform, otherwise is labeled as intersection and separates waveform;
3) according to institute's rheme phase labelling and wave label, the hyperbola of positive in described Near-infrared Brain imaging collection of illustrative plates is added up Waveform, high wave amplitude waveform and the opening waveform of positive, and the low flat waveform of negative, intersection separation waveform and the opening shape of negative Waveform, positive height wave amplitude waveform and positive opening waveform, and then calculate waveform composition ratio and according to described according to statistical result Waveform constitutes Near-infrared Brain imaging collection of illustrative plates described in comparison and classifies.
Specifically, can constitute than maximum waveform as classification reference according to waveform.Such as, positive hyperbolic waveform It is the highest that waveform constitutes ratio, then this collection of illustrative plates can be categorized as positive hyperbolic waveform collection of illustrative plates.Remaining is not difficult to judge by that analogy, The sorting technique proposed according to the present invention, can pass through this based on the produced Near-infrared Brain imaging collection of illustrative plates of Cognitive task test Bright technical scheme is at least divided into 6 classes, i.e. positive hyperbolic waveform collection of illustrative plates, the low flat waveform collection of illustrative plates of negative, negative intersection to separate ripple Shape collection of illustrative plates, negative opening shape waveform collection of illustrative plates, positive height wave amplitude waveform collection of illustrative plates and positive opening shape waveform collection of illustrative plates.
Present invention also offers the another kind of embodiment for the classification of Near-infrared Brain imaging collection of illustrative plates, as in figure 2 it is shown, at this In one method, be different from previous embodiment, in the second step, the described wave character that first step is obtained with compare figure Comparison collection of illustrative plates in spectrum storehouse directly compares, and then classifies described Near-infrared Brain imaging collection of illustrative plates according to comparative result.
The experimental example that the Near-infrared Brain imager based on Cognitive task test of the present invention presented below is specifically applied.
1, study subject:
This research is mainly carried out in Yuquan hospital of Tsing-Hua University, the recruitment of experimenter from May, 2012 continue to In March, 2015.Yuquan Hospital Ethical Committee has been approved by by the research, and all experimenters all endorsed informed consent Book.
Enter group standard: we have recruited 45 normal healthy controls volunteers altogether, and (advertisement recruits 58, has 13 not to be inconsistent and is incorporated into Group standard is excluded), have chosen 74 by the principle of chester sampling and suffer from depressive disorder (unipolar depression, preliminary screening 93 example have 19 examples be not inconsistent be incorporated into group standard and be excluded) and 60 suffer from anxiety disorder (preliminary screening 78 example have 18 examples not to be inconsistent and is incorporated into group standard quilt Get rid of) outpatient.Recruited patient is by 2 veteran psychiatrists (secondary high and above academic title) foundation DSM- IV.The mother tongue of all experimenters is Chinese (mandarin), to ensure that the VFT of Chinese version can be smoothed out.VFT sum, Normal group and depressive disorder group and anxiety disorder group difference all have significance (t=0.048, p=0.001), but depression hinders Hinder no significant difference (p=0.172) between group and anxiety disorder group.
On the same day carrying out NIRS inspection, we will use 24 Hamilton depressive scale (Hamilton Depression Rating Scale for Depression, HAMD) the depressive disorder shape of experimenter is evaluated;Make With HAS (Hamilton Anxiety Scale, HAMA), its anxiety disorder shape is evaluated;Use Yale Force scale (Yale-Brown obsessive compulsive scale, Y-BOCS) that obsessive symptoms is evaluated.Research Period, in case group, some patients takes one or both small dose drugs (antidepressant drug SSRI), but administration time is less than 2 In week, there is the patient that 24 examples are not taken medicine.
In order to control Confounding Factor, we use one factor analysis of variance ANOVA to enter age, schooling and sex Having gone and compared, there are no significant for three's difference (P > 0.05).The results are shown in Table 1.
Exclusion standard: 1, previously have Bipolar Disorder history or hypomania history;2, it is previously psychiatric symptoms The major depressive episodes patient of symptom;3, suffer from other mental maladjustment or sacred disease or physical disease (as low in first etc.);4, clothes With antidepressant or chlorpromazine more than more than 2 weeks;5, get rid of cause the cerebral trauma of cognitive impairment and ethanol or substance depilatory or Addiction;6, schooling is less than 6 years, and mother tongue is non-Chinese person.
2, method
2.1 detection instruments
Near infrared spectrum imager gathers Near-infrared Brain imaging collection of illustrative plates as Near-infrared Brain image-forming module, selects Japan's Shimadzu LabNIRS-52channel, use CW (continuous wave) technology mode, measure HbO2 Oxyhemoglobin (Oxy-Hb) Concentration, total HbO2 Oxyhemoglobin (t Hb) concentration and deoxygenation hemoglobin (Deoxy Hb) relative concentration.
2.2 stimulations present
Speech smoothness task (verbal fluency task, VFTr): task by E.Prime software (2.0) carry out in Existing.
Quiescent condition: after installing near-infrared auroral poles, inform person under inspection, keep quite, thinking of trying not, continue 5 minutes. Oxygenate and the calibration of deoxyhemoglobin relative concentration are ± 0.1 (mmol/L × cm).Observe oxygenate relative with deoxyhemoglobin Concentration hyperbola is in more stable state.
In order to ensure the stability of language fluency task, add before this task by Emotional Picture task as trial test, rise The effect that environment adapts to.Emotional Picture task: task load is slight, and it is to form current and 2s quiescent stage by the picture of 4s, Totally 15 width figures (positivity 5 width+neutral 5 width+negativity 5 width), the detection time is 90s.This task does not includes statistics in.
Activation task is language fluency task (VFT): according to experimental psychology task specifications and clinical preliminary experiment, each task Block is: quiescent stage composition after the task of the quiescent stage of 15s, the task phase of 30s and 15s.Four groups of blocks are continuously finished, time Between be 240s.When carrying out task, experimenter is apprised of needs must in office the most how to say suggested Chinese vocabulary (vegetables Dish, household electrical appliance, the animal of four lower limbs and fruit), selected vocabulary classification is neutrality, and four groups of vocabulary are equivalence.Four groups Blocks can react the time-dependent curvilinear motion of blood oxygen concentration effectively.
3, NIRS detection
Auroral poles is installed and has been made forehead brain district light polar cap (4X7 auroral poles lays site) with reference to electroencephalogram 10/20 system, utilizes 3D coordinate positioning records place between the eyebrows, calvarium center, Zuo Erqian, front 4 reference positions of auris dextra and each auroral poles, area successively 14cmX20cm, regulates district of relevant district 45,44,46 including Broca and language, and non-language regulation is correlated with district: 8,9,10 etc..Obtain altogether Take 45 demarcation logical channel collection of illustrative plates.
4, waveform analysis instrument
Dbase: multinomial Cognitive task Near-infrared Brain image software for analyzing spectrum (is called for short: Near-infrared Brain atlas analysis is soft Part) V3.0. copyright owner: the broken money of Liu.Right acquisition mode: original acquirement.Interest field: all rights.The exploitation target date On December 16th, 2013.Date issued first: on January 3rd, 2014.National Copyright Administration of the People's Republic of China, computer software Copyright registration certificate number: soft work steps on word the 0959027th.Software registration number: 2015SR071941.
5, NIRS data classification analysis
We present the position phase of waveform, wave amplitude, frequency, trend for according to entering collection of illustrative plates with 4 equivalent language fluency tasks Row classification processes.
Waveform separation: based on the forehead mark of 4 Blocks task total times 240s of model case under language fluency task 45 passage OXY-HB in Ding Nao district and the continuous wave spectrum of hyperbola of deoxy-Hb concentration change are reference, carry out symptom waveform Classification: with 45 passages (logic channel) as initial point, the waveform of 45 square frames of formation is measurement unit, and vertical coordinate is Wave amplitude, is upwards positive, is downwards negative, and abscissa is time (240 seconds).Quiescent condition: OXY-HB and deoxy-Hb concentration The hyperbola of change overlaps.Task status: during Cognitive task state, the hyperbola fluctuation of OXY-HB and deoxy-Hb concentration change State.Oxygenate and the calibration of deoxyhemoglobin relative concentration are ± 0.1 (mmol/L × cm).
Positive hyperbola normal waveform scope: hyperbola precession diagram, waveform red line (Oxy-Hb) upper, blue line (Deoxy-Hb) under, demarcate wave amplitude appropriateness (within 1/3), passage portion is found in the crest that 4 tasks are relevant, waveform ratio More regular, similar sine wave.As shown in Figure 3.
The low flat waveform of negative: blue line (Deoxy-Hb) upper, red line (Oxy-Hb) under, referred to as negative waveform, wave amplitude is low Flat, the rare crest relevant to task.As shown in Figure 4.
Negative intersect separate waveform: blue line (Deoxy-Hb) upper, red line (Oxy-Hb) under, waveform negative, intersection, ripple Move or separate, waveform drift shakiness.As shown in Figure 5.
Negative opening shape waveform: blue line (Deoxy-Hb) upper, waveform red line (Oxy-Hb) under, some ripple has no obvious Falling after rise, have a superposition phenomenon, local is opening shape to the right in negative, like symbol <.As shown in Figure 6.
Positive height wave amplitude waveform: red line (Oxy-Hb) upper, blue line (Deoxy-Hb) under, demarcate wave amplitude apparently higher than just Often, it is seen that in the high crest that 4 tasks are relevant, some wave amplitude is more than 1/3, and waveform comparison is regular.As shown in Figure 7.
Positive opening shape waveform: red line (Oxy-Hb) upper, blue line (Deoxy-Hb) under, some ripple has no and substantially returns Fall, have superposition phenomenon, waveform be positive opening shape <.As shown in Figure 8.
Independent variable: packet, dependent variable: NIRS changing value
Normal range waveform, the low flat waveform of negative, negative opening shape waveform, negative intersect separate waveform, positive height wave amplitude It is independent variable that waveform, positive opening waveform are constituted than (0-45/45,0-100%), with Normal group, diagnoses according to DSM-IV It is dependent variable for depressive disorder (unipolar depression), anxiety disorder.
Carry out normal control 45 example of symptom collection of illustrative plates classification, depressive disorder group 74 example, anxiety disorder 60 example by above-mentioned, pressed It is that (YALE≤10 are divided into normally symptom goldstandard for HAMD≤7 point, HAMA≤7 point according to HAMD, HAMA scale total score;Depressive disorder Group needs HAMD >=17 point;Anxiety disorder group needs HAMA >=14 point), calculate prefrontal lobe and demarcate the NIRS vft symptom collection of illustrative plates classification of brain district Waveform constitute than and ROC.
6, statistical analysis
All of statistical analysis process all uses SPSS 19.0 software (SPSS Inc, Beijing, China).General feelings Condition and clinical lessons, by using one factor analysis of variance (ANOVA) to detect each group of age, situation of receiving an education and clinical amount The group difference of table.The detection of sex difference uses X 2 test, and the significance of difference is set as P < 0.05.Normal group is with depressed Scale difference between 3 subgroups of obstacle and 2 subgroups of anxiety disorder uses t inspection, and P value is set as 0.01.Normal group The difference constituting ratio with depressive disorder group, 6 kinds of waveforms of anxiety disorder group uses t inspection, and P value is set as 0.01.

Claims (9)

1. Near-infrared Brain image profile classification method based on Cognitive task test, at least includes in this Near-infrared Brain imaging collection of illustrative plates The first curve corresponding to HbO2 Oxyhemoglobin concentration and the second curve corresponding to deoxy-hemoglobin concentrations, this sorting technique Concrete steps include:
First step, reads the Near-infrared Brain imaging collection of illustrative plates that Near-infrared Brain imager obtains, extracts described Near-infrared Brain image First curve of spectrum and the wave character of the second curve;
Second step, compares the described wave character that first step obtains and according to comparative result to described with preset value Near-infrared Brain imaging collection of illustrative plates is classified.
2. the Near-infrared Brain image profile classification method tested based on Cognitive task as claimed in claim 1, described waveform is special Levy and include a phase, wave amplitude, frequency or trend.
3. the Near-infrared Brain image profile classification method tested based on Cognitive task as claimed in claim 2, described cognition is appointed Business be included in the special time cycle perform Emotional Picture task, language fluency task, to referring to motor task and symptom picture The combination of TU task unit.
4. the Near-infrared Brain image profile classification method tested based on Cognitive task as claimed in claim 3, described cognition is appointed Business unit include Emotional Picture task, language fluency task, to referring to motor task or symptom picture task.
5. the Near-infrared Brain image profile classification method tested based on Cognitive task as claimed in claim 4, described cognition is appointed Time cycle of stimulating module of business include the task of lasting 15s before quiescent stage, continue the task phase of 30s and continue appointing of 15s Quiescent stage after business.
6. the Near-infrared Brain image profile classification method tested based on Cognitive task as claimed in claim 1, described second In step, specifically classify according to following steps:
1) position phase step is judged: according to the relative position relation of described first curve and described second curve to described Near-infrared Brain Imaging collection of illustrative plates carries out a phase labelling;
2) waveform step is judged: according to described first curve and wave amplitude, the frequency in described second curve must in office and/or become Gesture carries out wave label to described Near-infrared Brain imaging collection of illustrative plates;
3) according to institute's rheme phase labelling and wave label, the hyperbolic wave of positive in described Near-infrared Brain imaging collection of illustrative plates is added up Shape, high wave amplitude waveform and the opening waveform of positive, and the opening shape ripple of the low flat waveform of negative, intersection separation waveform and negative Shape, positive height wave amplitude waveform and positive opening waveform, and then calculate waveform composition ratio and according to described ripple according to statistical result Shape constitutes Near-infrared Brain imaging collection of illustrative plates described in comparison and classifies.
7. the Near-infrared Brain image profile classification method tested based on Cognitive task as claimed in claim 6, according to waveform structure Become than maximum waveform as classification reference.
8. the Near-infrared Brain image profile classification method tested based on Cognitive task as claimed in claim 1, at second step In, the described wave character that first step obtains directly is compared with the comparison collection of illustrative plates compareed in spectrum library, and then according to Described Near-infrared Brain imaging collection of illustrative plates is classified by comparative result.
9. the Near-infrared Brain image profile classification method tested based on Cognitive task as claimed in claim 8, described comparison figure Spectrum includes that the low flat waveform collection of illustrative plates of positive hyperbolic waveform collection of illustrative plates, negative, negative intersect and separates waveform collection of illustrative plates, negative opening shape waveform Collection of illustrative plates, positive height wave amplitude waveform collection of illustrative plates and positive opening shape waveform collection of illustrative plates.
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