CN103989482B - The sound stimulation device detected for auditory hallucination and the device detected for auditory hallucination - Google Patents
The sound stimulation device detected for auditory hallucination and the device detected for auditory hallucination Download PDFInfo
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Abstract
For the sound stimulation device that auditory hallucination detects, it comprises DSP processing unit, memory element, input block, display unit, audio driven unit, earphone; Described memory element is used for store configuration files and audio files; Described earphone is used for sending stimulation sound to patient; Described memory element, input block, display unit, audio driven unit are connected to DSP processing unit respectively; Earphone is connected to described audio driven unit.By the sound stimulation device detected for auditory hallucination of the present invention, can the high stimulation acoustical signal of generation time precision, the difference that the sound of each cycle is play is less than 1 μ s.Because time precision is high, high accuracy complex stimulus signal therefore can be produced.Sound stimulation device for auditory hallucination detection of the present invention can bring out the EEG signals of high-amplitude, improves time precision and the frequency response of EEG signals.Sound stimulation device for auditory hallucination detection of the present invention can also make the detection speed of EEG signals faster.
Description
Technical field
The present invention relates to a kind of brainstem auditory evoked brain electric installation, particularly relate to for the sound stimulation device of auditory hallucination test and the device for auditory hallucination test.
Background technology
Auditory hallucination is as a kind of mental sickness, and its diagnosis is a technical barrier always, and for a long time, doctor by subjective scale or the such means of Self-reporting inventory, can only be reacted the Mental Health state of oneself by the mode of filling in a form by patient oneself.This method subjectivity is very strong, is difficult to accomplish objective and accurate judgement.
Although people guess that EEG signals may have certain with mental sickness and associate, because evoked discharges signal is weak, amplitude even lower than background brain electricity, is subject to the interference of various noise artefact and background brain electricity, is difficult to be applied to mental sickness.
Auditory steady state (ASSR) is repeating and the some position reaction brought out under the sonic stimulation fixed of interval, produced, be recorded to by scalp by whole auditory nervous system.Auditory steady state is widely used in listening in territory detection, Anesthesia Monitoring, auditory nervous system disease etc. of child.It stimulates the generation of sound to mainly contain two kinds of modes, one is adopt computer sound card synthesis stimulation sound, drives sound card to play by software process quality voice data; Two is adopt independent sound card, and as USB sound card, sound is synthesized by computer software.These two kinds of modes, by the control of computer, can produce the stimulation sound of multiple combination neatly.But produce like this and stimulate the sound EEG signals of bringing out for research mental sickness, the EEG signals of bringing out is very weak, and effect is very not obvious.
Summary of the invention
In view of the above problems, the object of the invention is to propose a kind of sound stimulation device that can bring out high-quality EEG signals, for the detection of this mental sickness of auditory hallucination.
Another object of the present invention is to propose a kind of device detected for auditory hallucination, detects this mental sickness of auditory hallucination, for the judgement of doctor to the state of an illness provides objective data foundation with objective means.
For this reason, the sound stimulation device detected for auditory hallucination of the present invention, it comprises DSP processing unit, memory element, input block, display unit, audio driven unit, earphone; Described memory element is used for store configuration files and audio files; Described earphone is used for sending stimulation sound to patient; Described memory element, input block, display unit, audio driven unit are connected to DSP processing unit respectively; Earphone is connected to described audio driven unit.
Electedly, described memorizer is SD card, and described audio drive circuitry is audio codec.
Electedly, the instruction that described DSP processing unit inputs according to input block, from memory element, read configuration file and audio files, form corresponding periodically stimulus sequence according to configuration file and audio files, export described periodicity stimulus sequence to earphone by audio drive circuitry.
Preferably, externally there is synchronous triggering signal by its Universal peripheral IO at the initial time in each cycle of described periodicity stimulus sequence in described DSP processing unit.
The device detected for auditory hallucination of the present invention, it sound stimulation device, eeg signal acquisition device of comprising computer for controlling, detecting for auditory hallucination; The wherein said sound stimulation device for auditory hallucination detection is the above-mentioned sound stimulation device detected for auditory hallucination; Described eeg signal acquisition device comprises the electrode for being fixed to patients head; When testing, the earphone of the described sound stimulation device for auditory hallucination detection is according to the ear transmission stimulation sound of its periodicity stimulus sequence received to patient; The electrode collection of described eeg signal acquisition device is subject to the original EEG signals of the patient of sonic stimulation; Described original EEG signals is sent to described computer for controlling after the process of described eeg signal acquisition device.
Preferably, described computer is connected with the described sound stimulation device that detects for auditory hallucination and described eeg signal acquisition device by USB, is that the described sound stimulation device that detects for auditory hallucination and described eeg signal acquisition device are powered by USB.
Preferably, described computer for controlling is transmitted control signal to the described sound stimulation device for auditory hallucination detection by USB; Described computer for controlling is received the described EEG signals collected by described brain wave acquisition device by USB.
Preferably, described earphone is In-Ear Headphones.
Preferably, the electrode of described eeg signal acquisition device is Ag-AgCl electrode.
Preferably, described eeg signal acquisition device comprises Simulation scale-up filter circuit, analog to digital conversion circuit, microcontroller, interface communication circuit; The signal of described electrode collection amplifies through Simulation scale-up filter circuit and delivers to analog to digital conversion circuit after filtering, signal after digitized is delivered to microcontroller by analog to digital conversion circuit, signal after described digitized is delivered to interface communication circuit by microcontroller, by corresponding host-host protocol, EEG signals is transferred to described computer for controlling.
By the sound stimulation device detected for auditory hallucination of the present invention, can the high stimulation acoustical signal of generation time precision, the difference that the sound of each cycle is play is less than 1 μ s.Because time precision is high, high accuracy complex stimulus signal therefore can be produced.The sound stimulation device detected for auditory hallucination of the present invention can bring out high-amplitude EEG signals, improve the time precision of EEG signals and frequency response.Sound stimulation device for auditory hallucination detection of the present invention can also make the detection speed of EEG signals faster.
Accompanying drawing explanation
Fig. 1 is the apparatus structure theory diagram detected for auditory hallucination of the present invention;
Fig. 2 is the structural principle block diagram of the sound stimulation device for auditory hallucination detection of the present invention;
Fig. 3 is the block diagram of an embodiment of the sound stimulation device for auditory hallucination detection of the present invention;
Fig. 4 is the working-flow figure of the sound stimulation device for auditory hallucination detection of Fig. 3;
Fig. 5 is the measured waveform figure of the sound of the sound stimulation device generation for auditory hallucination detection of Fig. 3;
Fig. 6 is the sound of several waveforms of the sound stimulation device generation for auditory hallucination detection of Fig. 3;
Fig. 7 is the one group of sonic stimulation sequence taked when carrying out ASSR experiment;
Fig. 8 is the theory diagram of the eeg signal acquisition device of the device for auditory hallucination detection of the present invention;
In Fig. 9, the sinusoidal signal at equal intervals that the sound card that (a) is prior art produces, (b) is the sinusoidal signal at equal intervals produced for the sound stimulation device of auditory hallucination detection of the present invention;
Figure 10 is the ASSR amplitude distribution figure (1000 sections) of the EEG signals of bringing out of the 40HzDonchirp of the intensity of sound 60dBSPL that the sound card of prior art produces, and transverse axis unit is μ V;
Figure 11 is the ASSR amplitude distribution figure (1000 sections) of the EEG signals of bringing out of the 40HzDonchirp of the intensity of sound 60dBSPL that the present invention produces for the sound stimulation device that auditory hallucination detects, and transverse axis unit is μ V;
Figure 12 is the matching distribution curve comparison diagram of Figure 10 and Figure 11;
Figure 13 is that ASSR detects cognitive function experimental paradigm schematic flow sheet;
Figure 14 is that 40Hz modulation stimulates sound schematic diagram, wherein (a) is speech waveform, b () is meaningless speech waveform, (c) is the speech waveform after 40Hz modulation, and (d) is the meaningless speech waveform after 40Hz modulation;
Figure 15 is normally tested with auditory hallucination patient 40HzASSRSNR scattergram under voice and meaningless sonic stimulation;
Figure 16 to lead R for typical case
sNRthe Statistical Comparison figure of value;
Figure 17 is that the TP7 of auditory hallucination patient and the normal tested result of calculation RSNR-T7 that leads leads PSNR scattergram;
Figure 18 is PSDA topography, brain function connects and the average result of flow enhancement topography;
In Figure 19 be normally tested with auditory hallucination patient Cp and Lp with changes of threshold curve;
Figure 20 typical case leads position view.
Detailed description of the invention
Below, describe in detail to the sound stimulation device for auditory hallucination detection of the present invention with for the row that the device that auditory hallucination detects enters by reference to the accompanying drawings.
Be illustrated in figure 2 the sound stimulation device detected for auditory hallucination of the present invention.It comprises DSP processing unit 23, memory element 24, input block 25, display unit 26, audio driven unit 22, earphone 21.Memory element 24 is for store configuration files and audio files, and earphone 21 is for sending stimulation sound to patient.Memory element 24, input block 25, display unit 26, audio driven unit 22 are connected to DSP processing unit 23 respectively.Earphone 21 is connected to audio driven unit 22.
In a detailed description of the invention of the sound stimulation device for auditory hallucination detection of the present invention, as shown in Figure 3, DSP processing unit 23, as master chip, is C5000 series 16 fixed DSP TMS320C5515 of TexasInstruments company.Wherein, master chip TMS320C5515, sticks into row data communication by EMIF interface and the external SD being used as memory element 24, from SD card, reads out voice data; Pass through I
2c bus, is configured audio codec (Coder-Decoder, the CODEC) TLVAIC3204 being used as audio driven unit 22, passes through I
2s bus, transmission voice data is on CODEC; By a GPIO port, send synchronous trigger.Meanwhile, master chip passes through the external OLED display device as display unit 26, the state that display system is run.SD card is for storing the file of two types, and one is configuration file, and another is audio files, and stimulate completing with MATLAB is prepared in advance of audio files, formation sequence M file, is written in SD card.
As shown in Figure 4, after stimulator has initialized, first will scan SD card, available configuration file and audio files will be identified the workflow of the sound stimulation device for auditory hallucination detection of the present invention.If file system is errorless, system will send stimulus sequence, according to the configuration file of the information provided and the parameter arranging codec of audio files.In stimulating course, audio files will be read and be sent to CODEC.Universal peripheral IO port (GPIO) is for exporting a triggering signal.This signal has been connected to EEG amplifier, and in data analysis process, trigger can be used to separate EEG data and convert different stimulations to.In addition, triggering signal can be used to the Delay time determining response.
Data transmission in network telephony mainly passes through I
2s bus is sent to codec.The working time test of system is as follows, and by analyzing source code, the data of the time delay request grown most are 0.4 μ s, and often transmitting a voice data needs I
2it is each once with data that S bus transmits order, and with ASSR stimulus frequency for 200Hz calculates, in one-period, maximum bias voltage is less than 0.8 μ s, and the deviation ratio in single cycle will be less than 0.016%.The pure tone that sound stimulation device can export periodic linear frequency modulation sound chirp, short sound click, FM/AM modulate detected for auditory hallucination of the present invention, as shown in Figure 5,6, meets the requirement of experiment that various stable state stimulates.In Fig. 6, (a) is click waveform, (b) Neelychirp waveform, and (c) is Donchirp waveform, and (d) is Boerchirp waveform.
The sinusoidal signal at equal intervals that the sound card that Fig. 9 (a) is prior art produces, Fig. 9 (b) is the sinusoidal signal at equal intervals produced for the sound stimulation device of auditory hallucination detection of the present invention; Can see significantly, the time difference between the interval of the sinusoidal signal at equal intervals of the sound stimulation device generation for auditory hallucination detection of the present invention is little.
Figure 10-12 is the ASSR distribution schematic diagram of 40HzDonchirp at intensity of sound 60dBSPL evoked brain potential signal.Figure 10 represents the ASSR amplitude distribution figure (1000 sections) brought out under the sound card of prior art stimulates, it is μ V for ASSR amplitude distribution figure (1000 sections) the transverse axis unit under the sound stimulation device Induced by Stimulation of auditory hallucination detection that Figure 11 figure represents of the present invention, Figure 12 is the contrast figure of Figure 10 and Figure 11 matched curve, can find that two distributions all present normal distribution, but the center amplitude of Figure 11 curve is higher than the center amplitude of Figure 10 curve, this show of the present invention for auditory hallucination detect sound stimulation device Induced by Stimulation more Gao Gengqiang EEG signals.
Be illustrated in figure 1 the apparatus structure theory diagram detected for auditory hallucination, it sound stimulation device 20, eeg signal acquisition device 30 of comprising computer for controlling 10, detecting for auditory hallucination; The sound stimulation device wherein detected for auditory hallucination is described above.Eeg signal acquisition device 30 comprises the electrode 31,32 for being fixed to patients head; Test time, for auditory hallucination detect sound stimulation device earphone 21 according to ear from its periodicity stimulus sequence received to patient send stimulate sound; Electrode 31,32 collection of eeg signal acquisition device 30 is subject to the original EEG signals of the patient of sonic stimulation; Original EEG signals is sent to computer for controlling 10 after eeg signal acquisition device 30 processes, and processes accordingly.
As shown in Figure 8, eeg signal acquisition device 30 comprises Simulation scale-up filter circuit 33, analog to digital conversion circuit 34, microcontroller 35, interface communication circuit 36; The signal that described electrode 31,32 gathers amplifies through Simulation scale-up filter circuit 33 and delivers to analog to digital conversion circuit 34 after filtering, signal after digitized is delivered to microcontroller 35 by analog to digital conversion circuit 34, signal after described digitized is delivered to interface communication circuit 36 by microcontroller 35, by corresponding host-host protocol, EEG signals is transferred to described computer for controlling.
Computer for controlling 10 sends to sound stimulation device 20 stimulation instructions detected for auditory hallucination, control the eeg data that eeg signal acquisition device 30 commencing signal acquisition controlling computer 10 is sent by USB interface real-time storage eeg signal acquisition device 30 simultaneously, here can be also other interface protocols, be not limited to USB.Sound stimulation device 20 for auditory hallucination detection exports and periodically stimulates sound, and each cycle sends synchronizing signal by GPIO to eeg signal acquisition device 30, and eeg signal acquisition device 30 for eeg data does sync mark, is convenient to post analysis automatically.Earphone adopts insert earphone, can avoid that sound is revealed, acoustical signal reaches offside cochlea.Adopt plate-like Ag-AgCl electrode, brain electricity cream of annotating during measurement, effectively reduces skin electrode impedance.
Below, be with the contrast experiment carried out for the device of auditory hallucination detection of the present invention.
Experimental design
This experiment, using gamma frequency range ASSR as analytical tool, devises two groups of experiments.
Experiment essential information
Two groups of experiments tested identical, has 15 experimenters and participates in, male 11 people, women 4 people, the age 20-40 year between, 28 years old mean age, dextromanuality, audition is normal.Wherein, experimental group is auditory hallucination patient with sympotoms 5 people, and every patient has lasting auditory hallucination symptom more than more than 1 year.Matched group is normal tested 10 people, and cognitive function is normal, without known neurological disorder., often with auditory sense cognition functional defect, there is the brain dysfunction caused by different reason in one of auditory hallucination phenomenon clinical symptoms belonging to mental sickness.The experiment of all experimenter's voluntary participations, follows Declaration of Helsinki (DeclarationofHelsinki), allly testedly to know the inside story all in advance to experimentation, and obtains costs reimbursement.
Test data all adopts NeuroScanSynamps2 system log (SYSLOG).Take nose as reference, forehead is ground, and record 64 leads eeg data, position 10-20 system electrode method in accordance with international practices of leading.All resistance values that leads all are less than 10k Ω, and data sampling rate is 1kHz, bandpass filtering 0.05 ~ 200Hz.
Experimental paradigm
(1) one is tested
Subjects remained upright's sitting posture, ears are to sound.Stimulate sound to be two sections, first awarding meaningful voice stimulates, then gives meaningless sound, and every section stimulates sound length to be 20s, interval 5s, and stimulation sound intensity is 65dBSPL.For recording tested whether perception and understanding the meaning stimulating sound, every section stimulate after, all require the meaning of tested repetition institute perceives sound and record.
ASSR detects cognitive function experimental paradigm as Figure 13, and the meaningful voice under stimulating sound to be divided into 40Hz to modulate stimulate and meaningless sound two kinds, stimulate sound waveform as shown in figure 14.Voice stimulate and are made up of 10 conventional Chinese dual-syllable words, and Chinese female voice is at the uniform velocity read aloud, and guarantee clearly hear and understand.The sampled data of voice signal is broadcast by meaningless sonic stimulation, and Auditory Perception is noise is insignificant sound, but due to the data that sound is total constant, therefore two sections stimulate the gross energy of sound equal with frequency spectrum.Adopt 40Hz sinusoidal signal to carry out amplitude modulation(PAM) to two groups of acoustical signals, modulation depth is 100%, and signal envelope does not change (0.5 ~ 20Hz), does not therefore affect the identification of human brain to voice.
(2) two are tested
Subjects remained upright's sitting posture is traditional chirp stimulation mode, and ears, to sound, play the Donchirp sound that 40Hz repeats fast respectively.Sound pressure level is stimulated to select the suitableeest threshold 60dB, stimulation sound duration 50 seconds.
Data analysis
(1) calculation procedure
Experiment one:
1) pretreatment is carried out to EEG data, as filtering, go average;
2) calculate and often organize 64 and to lead the SNR value on stimulus frequency;
3) draw 64 topography of leading SNR to contrast;
4) select the typical case in auditory sense cognition brain district to lead and contrast SNR value.
Experiment two:
1) from 64 lead choose 30 lead EEG data carry out network connect calculate;
2) Akaike rule is used to estimate the order of MVAR;
3) normalized 30 × 30DTF matrix γ is asked with DTF algorithm
ij, matrix γ
ijvalue is with directive link information between leading between two;
4) set threshold value T, proof strength, higher than the connection of threshold value, draws brain function connection layout;
5) calculate each outflow of leading and the ratio flowing into quantity of information, the brain drawing ratio distinguishes Butut;
6) adopt Graph Analysis method, birds of the same feather flock together coefficient C and minimal path L in the local that calculating brain function connects.
(2) SNR calculates
Whole section of 20s data are carried out FFT calculating, and it is obtained by the power spectrum signal at detection signal-to-noise ratio calculated response frequency place and the average power spectra of all side frequency places (Frequency point 20) that SNR calculates.In order to react the SNR diversity under voice and meaningless sonic stimulation, definition SNR ratio:
SNR
speechfor voice stimulate lower signal to noise ratio, SNR
nomeaningfor the signal to noise ratio under meaningless sonic stimulation, work as R
sNRbe greater than 1, under expression voice stimulate, under more meaningless sonic stimulation, obtain stronger ASSR signal.
(3) analysis of network Conduction choice
Full brain 30 is adopted to lead EEG signals as network analyzing data, the information flow situation of connection reflection Ge Nao district in auditory sense cognition field between brain analysis of network Shi Yinao district, scalp brain electricity is subject to the impact of volume conductor effect, too intensive between leading, dependency between consecutive leads is strong, have impact on the analysis that full brain connects, lead screening 30 brain electricity from 64 and lead the object as brain analysis of network, the 30 full brains of position uniform fold led.
(4) network analysis method
For improve the display scale of result, proposing information flow gain definition according to Yan Zheng, not only combining the value of information of outflow, contemplate inflow quantity of information.The inflow information of m of leading and outflow information as follows:
Definition information flow enhancement is:
Test an interpretation of result
Behavior outcome
The result of subordinate act, 10 normal tested, all can the meaning of perceptible stimulus voice, under meaningless sonic stimulation, do not experience any meaningful voice.Auditory hallucination patient can perceive stimulation voice, wherein has 4 patients under meaningless sonic stimulation, can experience voice, belong to hallucination, comprise lasting voice in a low voice or be familiar with voice etc.
Table 1 auditory hallucination patient is to behavioristics's result of voice and meaningless sonic stimulation
Feature distributes
The experimentally data of, calculate the brain electrical activity mapping of SNR, as can be seen from Figure 15, normally tested ASSR signal distributions is except forehead, other brain districts can obtain when voice stimulate stimulates higher ASSR compared with non-voice, particularly left hemisphere auditory center with listen the cortex brain district signal residing for language maincenter to strengthen obviously, reacted this region in speech recognition process gamma signal enhancing.The tested ASSR signal of auditory hallucination presents the two cerebral hemispheres and differs greatly, left hemisphere R
sNRvalue compared with normal is tested little, and is less than 1, represent auditory hallucination tested under non-voice stimulates gamma frequency band signals strengthen to some extent on the contrary.
Typical case leads diversity
Select cortex corresponding to brain left temporal lobe auditory language district to lead T7, TP7, P7, lead as shown in figure 20, from meaningful voice and meaningless sound two kinds of different stimulated, the tested SNR value under meaningful voice stimulate of auditory hallucination is little.And from the normally tested result of major part, under meaningful voice stimulate, SNR is larger.
Table 2 auditory hallucination patient typical case leads SNR (dB)
Table 3 normal patient typical case leads SNR (dB)
Auditory hallucination patient is when the meaningless sonic stimulation of acceptance, and its auditory sense cognition brain district activity being positioned at left hemisphere is strengthened.In the tested repetition to listened content, normal tested all showing can perception understand voice, under non-language stimulates, do not have any meaningful information of perception.And the tested description of auditory hallucination shows, under voice stimulate, it can perceive the voice of respective sense.And under non-voice stimulates, still can experience various voice stimulates, as tested some be familiar with people speech sound, recurrent in one's ear in a low voice etc.Can initial guess according to the SNR of brain district ASSR on the left of auditory hallucination patient change, even if under the stimulation of meaningless sound, the speech recognition brain zone function of auditory hallucination patient is also activated, be in active state, therefore cause patient when reality stimulates without voice, still identify " voice ", occur auditory hallucination symptom.
The spatial abnormal feature in another region that auditory hallucination patient cortex ASSR distribution exists, as shown in figure 15, relative to normally tested, auditory hallucination patient RSNR value in top district comparatively extensive region is all higher.Main cause is auditory hallucination patient with normally tested to accept that voice stimulate be that the distribution of cortex ASSR is basically identical, occipital region signal SNR is stronger on top, and auditory hallucination patient is when accepting meaningless sonic stimulation, the ASSRSNR value in top district is less, shows that the activity in cortex brain district is more weak.
Cortex two typical cases corresponding to auditory sense cognition brain district are selected to lead the RSNR data of T7 and TP7, be x-axis coordinate respectively with T7RSNR, TP7RSNR is y-axis coordinate, draw the scatterplot of each tested correspondence, as shown in figure 16, auditory hallucination patient and normally tested DATA DISTRIBUTION can obviously be distinguished, and there is linear classifying face and data are divided into two classes, auditory hallucination patient result is positioned at the left side of straight line, and normal tested result is positioned at right side.
Test two interpretations of result
Brain analysis of network
The data of the normal tested experiment of experiment with computing 2 10 are average.The function connection mode figure of ASSR response is shown in Figure 18.Meanwhile, Figure 18 give also the brain mapping result that power Spectral Estimation (PowerSpectralDensityAnalysis, PSDA) obtains, and the function that brain mapping wherein uses EEGLAB to provide is drawn.Figure 18 the 3rd row figure is the result calculated by flow enhancement.Connecting line in function connection layout characterizes interregional connection, and the arrow connected on thinking represents the direction of connection, and the color of connecting line represents with fineness the intensity be connected.
The region contained by the power spectrumanalysis result visible response of Figure 18 is not limited to central cortical region, presents distribution pattern comparatively widely.Wherein, the region that response amplitude is maximum is mainly distributed in forehead-central authorities and top-occipital lobe.In addition, Whole Response distribution shows symmetrical characteristic.Observe a large amount of connections that brain function connection mode figure clearly can tell central cortical region.In addition, the closure between further viewing area can find the position of receiving information as flow of information target area and mainly be distributed in forehead-temporal lobe.The brain mapping of flow enhancement is presented in ASSR task, connects cortex and is mainly positioned at the central cortex on the crown, there are two more weak connection cortexes in addition at bilateral temporal lobe.
Graph Analysis
In addition, also same test carried out to auditory hallucination patient and analyzed.In order to and difference of auditory hallucination patient connection layout more tested than compared with normal, the connection mode obtained has carried out determining quantitative analysis further to there being DTF to estimate to employ the method for graph theory here.First need DTF to be estimated obtaining connection matrix is converted into figure so that use graph theory tool analysis.This step has been come by setting threshold value T.The value that it should be noted that for threshold value T does not have a unified standard, and therefore have chosen the scope of 0 ~ 1 herein, interval steps is set to 0.001.By traveling through all threshold values, then can calculate with threshold value is variable, with the coefficient Cp and shortest path value Lp that birdss of the same feather flock together of changes of threshold.
(1) the PSDA topography based on FFT compares with function connection result
EEG signal is led from 32.As shown in figure 18, the ASSR response of 40Hz Induced by Stimulation is mainly positioned at center overhead region.Another one characteristic distributions is different from SSVEP, and the response region distribution of ASSR is comparatively extensive, and the response of SSVEP only concentrates on position, occipital region usually.This may cause due to the neuronal cell group activity bringing out bilateral for the response of bilateral auditory stimulus.The interactive relation in ASSR task between zones of different can be seen by the function connection layout result in Figure 18.Here can see all there is the joint area of comparatively long-range in central authorities and forehead and temporal lobe.Can find that PSDA can only reflect the activation situation in single region by the result comparing the two, function connection layout then can demonstrate the information interactive process of full brain.The result meaning that both reflect is different, and the result that function connects more can reflect the activation mechanism performing full brain in ASSR task process, can locate the brain domain corresponding with auditory physiology district thus further study by which.
(2) central authorities under ASSR connect cortex
An active regions being positioned at middle section can be found by the flow enhancement topography of Figure 18.Connect in research in SSVEP function before, Yan Zheng etc. point out that the connection cortex of SSVEP is positioned at top region, and by analyzing, they think that top plays important role in SSVEP.Be embodied in top similarly be a full brain information interaction to collect node the same, a corresponding information is created to the selection of visual information and preparation and exports.So, the result of ASSR imply that when brain receives auditory stimulus, and brain central authorities cortical region creates a strong connection response.And these connections have certain locality, less other brain district carries out information interactive process with full brain.Therefore, for the physiological phenomenon of ASSR response, have more than and produced by primary auditory cortex, and may be based on a more complicated pattern.
(3) the brain network structure feature analysis of ASSR
As shown in figure 19, when threshold value is less, coefficient of birdsing of the same feather flock together is tending towards 1, and further, if threshold value is 0, then coefficient of birdsing of the same feather flock together is 1.This is because when threshold value is lower, in the figure generated by connection matrix, almost all there is connection between every two nodes.Along with the growth of threshold value, connection can reduce gradually thus result in the reduction of coefficient of birdsing of the same feather flock together.Relative, shortest path then becomes large along with the growth of threshold value, this is because along with the minimizing of linking number, the shortest path of whole figure can increase accordingly.As T>0.02, shortest path starts again to reduce, this is because along with the further increasing of threshold value, some original interconnective nodes no longer have annexation, and corresponding figure can be split into several subgraph thus result in the reduction of shortest path.
Normally obvious difference between tested and auditory hallucination patient is not found in Figure 19 (a).And the shortest path of the result display auditory hallucination patient of Figure 19 (b) will be obviously longer than normally tested.Existing research shows that efficiency mutual between brain district can be improved in shorter path.And connection between Different brain region and basic cognitive process have close relationship.Show that auditory hallucination disease can be considered to a kind of brain and connect abnormal mental sickness further by the result of Figure 19 (b).
Find through present inventor's research and experiment, why traditional sound stimulation device lost efficacy in the ASSR electrical brain stimulation of auditory hallucination patient, and main cause is that the time precision of the stimulus signal of each cycle can not meet the requirement of this kind of application.Time precision comparatively missionary society causes stimulation signal frequencies to be drifted about, and is in other words exactly when sonic stimulation, the too many clutter that stimulus signal itself is mingled with, to such an extent as to stimulates the EEG signals amplitude produced too little, does not have discrimination.Trace it to its cause, traditional sound stimulation device adopts PC control, sound card or independent sound card synthesize stimulus waveform in real time according to control instruction, the method achieve stimulus waveform adjustable flexibly, but because independent sound card CPU needs process multithreading task, there is resource occupation dynamic conditioning between each thread instruction, between every bar synthetic waveform instruction performs, interval can not be accomplished identical, the time precision of output waveform is had an impact, thus have impact on the frequency characteristic stimulating sound.
Present inventor, also by researching and analysing, find why sound stimulation device brought out in the past EEG signals cannot be used for detection or the diagnosis of this mental sickness of auditory hallucination, reason is that the acoustical signal time precision that stimulator exports is inadequate, make the occurrence frequency drift of stimulus signal own, make to introduce clutter in stimulus signal itself, have impact on the quality stimulating sound, pure input can not be ensured, make the EEG signals that cannot induce high strength, also make EEG signals go no further for the Detection and diagnosis of mental sickness always.Of the present invention for the sound stimulation device of auditory hallucination detection and the device for auditory hallucination, by adopting DSP, the sound stimulation device in memory that configuration file and audio files to be prestored independently synthesizes stimulation sound, completely not by the impact of host computer, guarantee the exact time-domain of sound, frequency domain response, make sound stimulation device can produce the sonic stimulation signal of time precision error in 1 μ s of each cycle, each cycle time precision of sonic stimulation signal prior art produced improves 1000 times.Due to the raising of stimulus signal, the quality of evoked brain potential is increased greatly, EEG signals and mental sickness can be carried out completely by evoked brain potential, especially the research of the association of auditory hallucination, make people finally can associate from guess EEG signals and mental sickness the concrete research entering EEG signals and associate with mental sickness, be applied to the detection of mental sickness for EEG signals and research provides stable, sound assurance.
Claims (9)
1., for the sound stimulation device that auditory hallucination detects, it comprises DSP processing unit, memory element, input block, display unit, audio driven unit, earphone;
Described memory element is used for store configuration files and audio files;
Described earphone is used for sending stimulation sound to patient;
Described memory element, input block, display unit, audio driven unit are connected to DSP processing unit respectively; Earphone is connected to described audio driven unit;
The instruction that described DSP processing unit inputs according to input block, configuration file and audio files is read from memory element, form corresponding periodically stimulus sequence according to configuration file and audio files, export described periodicity stimulus sequence to earphone by audio drive circuitry; Error between the cycle of the sound that described earphone is play is less than 1 μ s.
2., as claimed in claim 1 for the sound stimulation device that auditory hallucination detects, it is characterized in that: described memory element is SD card, described audio drive circuitry is audio codec.
3., as claimed in claim 2 for the sound stimulation device that auditory hallucination detects, it is characterized in that: described DSP processing unit externally synchronous triggering signal occurs by its Universal peripheral IO at the initial time in each cycle of described periodicity stimulus sequence.
4. for the device that auditory hallucination detects, it sound stimulation device, eeg signal acquisition device of comprising computer for controlling, detecting for auditory hallucination;
The wherein said sound stimulation device for auditory hallucination detection is arbitrary described sound stimulation device detected for auditory hallucination in claim 1-3;
Described eeg signal acquisition device comprises the electrode for being fixed to patients head;
When testing, the earphone of the described sound stimulation device for auditory hallucination detection is according to the ear transmission stimulation sound of its periodicity stimulus sequence received to patient; The electrode collection of described eeg signal acquisition device is subject to the original EEG signals of the patient of sonic stimulation; Described original EEG signals is sent to described computer for controlling after the process of described eeg signal acquisition device.
5., as claimed in claim 4 for the device that auditory hallucination detects, it is characterized in that:
Described computer is connected with the described sound stimulation device that detects for auditory hallucination and described eeg signal acquisition device by USB, is that the described sound stimulation device that detects for auditory hallucination and described eeg signal acquisition device are powered by USB.
6., as claimed in claim 5 for the device that auditory hallucination detects, it is characterized in that:
Described computer for controlling is transmitted control signal to the described sound stimulation device for auditory hallucination detection by USB;
Described computer for controlling is received the described EEG signals collected by described eeg signal acquisition device by USB.
7., as claimed in claim 4 for the device that auditory hallucination detects, it is characterized in that:
Described earphone is In-Ear Headphones.
8., as claimed in claim 4 for the device that auditory hallucination detects, it is characterized in that:
The electrode of described eeg signal acquisition device is Ag-AgCl electrode.
9., as claimed in claim 4 for the device that auditory hallucination detects, it is characterized in that:
Described eeg signal acquisition device comprises Simulation scale-up filter circuit, analog to digital conversion circuit, microcontroller, interface communication circuit;
The signal of described electrode collection amplifies through Simulation scale-up filter circuit and delivers to analog to digital conversion circuit after filtering, signal after digitized is delivered to microcontroller by analog to digital conversion circuit, signal after described digitized is delivered to interface communication circuit by microcontroller, by corresponding host-host protocol, EEG signals is transferred to described computer for controlling.
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| CN101690664A (en) * | 2009-10-23 | 2010-04-07 | 清华大学 | Comprehensive detection platform for auditory indexes of auditory system transmission access |
| CN101732054A (en) * | 2009-11-13 | 2010-06-16 | 清华大学 | Portable all-purpose otoacoustic emission detecting system |
| CN103054587A (en) * | 2012-12-20 | 2013-04-24 | 清华大学 | Speech audiometry method based on auditory steady state response |
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| CN101690664A (en) * | 2009-10-23 | 2010-04-07 | 清华大学 | Comprehensive detection platform for auditory indexes of auditory system transmission access |
| CN101732054A (en) * | 2009-11-13 | 2010-06-16 | 清华大学 | Portable all-purpose otoacoustic emission detecting system |
| CN103054587A (en) * | 2012-12-20 | 2013-04-24 | 清华大学 | Speech audiometry method based on auditory steady state response |
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