CN110772266A - Method for regulating cognitive ability through real-time nerve feedback based on fNIRS - Google Patents
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Abstract
The invention relates to a method for regulating cognitive ability by real-time nerve feedback based on fNIRS, which comprises the following steps of sequentially carrying out 12 real-time nerve feedback regulation trainings, wherein each real-time nerve feedback regulation training comprises three experimental blocks, each experimental block comprises 12 experiments, and the method comprises the following steps: each experiment lasted 1 minute, the first 30s at rest, the subjects remained at rest, and the last 30s at adjustments, including: (1) measuring a blood oxygen level signal of the tested brain by using a near-infrared brain imaging system; (2) sending the acquired cerebral blood oxygen level signal data to an external computer in real time, and presenting the target cerebral area blood oxygen level signal to a tested subject in real time in a stone lifting/food picture fuzzification mode; (3) and a psychological strategy is adopted by trial, the real-time adjustment is carried out according to the rise and fall of the stones or the change of the fuzzy degree of the food pictures, and the adjustment aims at adjusting the stones to be high and keeping the stones or blurring the food pictures and keeping the food pictures in a fuzzy state.
Description
Technical Field
The invention relates to a method for regulating cognitive ability based on fNIRS real-time neural feedback.
Background
At present, countries around the world face a global problem of obesity, which is the third major factor after cardiovascular disease and cancer that poses the most threat to human health. The united kingdom famous medical journal "lancet" in 2016 published a report of a global adult human recall: the obese population of adults has exceeded the normal body weight population worldwide, with 9000 million obese populations (4320 million men and 4649 ten thousand women) in china exceeding 8700 million in the united states, and becoming the country with the largest obese population worldwide. Therefore, our country is very serious in the situation of obesity.
Obesity not only causes various metabolic diseases (type II diabetes and the like), but also causes various complications, such as coronary heart disease, hypertension, liver and gall disease, lung dysfunction, joint disease and the like. In addition, obesity seriously affects the quality of life of people, reduces social acceptance, reduces income, increases psychological burden, and increases the burden on public health systems; the cost due to obesity accounts for about 2% -10% of the total medical cost. Clinical treatment for obesity showed: the medicine has unsatisfactory weight-losing effect and is accompanied by side effects; while surgical bariatric surgery (gastric band bariatric surgery (AGB), cuffled gastric bariatric surgery (LSG), and Roux-en-Y gastric bypass surgery (RYGB)) has long-term and effective effects on the treatment of obesity, the surgery is expensive and there is a risk of obesity recurrence after the surgery.
Studies have shown that obesity is caused by many reasons, but the main factor is obesity caused by excessive intake of high calorie food due to the inability of obese patients to suppress their desire for high calorie food. Existing studies have shown that the brain reward circuit of obese patients has a higher response to food picture stimuli, while the brain area responsible for cognitive decision making and control execution is not responsive enough, resulting in the inability of obese patients to control their own eating behavior. Therefore, the invention starts from the brain center, designs a set of method for regulating and controlling the cognitive ability based on the real-time neural feedback of fNIRS (functional-isolated spectroscopy, namely a near infrared brain imaging system), so as to improve the cognitive decision and the execution control function of the obese patient on food, and further improve the eating behavior.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims at solving the problems in the prior art, namely the invention discloses a method for regulating and controlling cognitive ability based on the real-time neural feedback of fNIRS, which is used for improving the cognitive decision and the execution control function of an obese patient on food stimulation so as to improve the eating behavior.
The technical scheme is as follows: the method for regulating and controlling cognitive ability through real-time nerve feedback based on the fNIRS comprises 12 times of real-time nerve feedback regulation training which are sequentially carried out, wherein each time of real-time nerve feedback regulation training comprises three experimental blocks (blocks), each experimental block comprises 12 experiments (trials), and the method comprises the following steps of:
the interval between two adjacent real-time nerve feedback regulation training is 1-2 days;
the adjacent two experimental blocks are tested and rested for 5 minutes;
before each feedback training, the optodes are placed on the scalp to be tested according to a preset array arrangement mode, the optodes are adjusted to be in good contact with the scalp to be tested so as to ensure the signal quality, and the optodes are taken down until three experimental blocks are completed;
each experiment lasts for 1 minute, the first 30s of rest, the tested object keeps a rest state, the back 30s of adjustment requires the tested object to lift the height of the stone or fuzzify a food picture, and the adjustment comprises the following steps:
(1) measuring a blood oxygen level signal (i.e., a change in oxygenated hemoglobin concentration, HbO2) of the subject's brain using a near-infrared brain imaging system;
(2) the acquired cerebral blood oxygen level signal data are sent to an external computer in real time, and the target cerebral area blood oxygen level signal is presented to a testee in real time in a form of stone lifting/food picture fuzzification, wherein:
based on a feedback form of stone lifting, when the activity signal level of the target brain area rises in the adjusting stage, the height of the stone rises, otherwise, the height of the stone falls;
presenting a group of food pictures to a tested person based on a feedback form of food picture fuzzification, wherein when the activity signal level of a target brain area in an adjusting stage is increased, the fuzzy degree of the food pictures is increased, otherwise, the fuzzy degree is reduced;
(3) the adopted psychological strategy is adjusted in real time according to the rise and fall of the stones or the change of the fuzzy degree of the food pictures, the adjustment target is to adjust the stones to a high position and keep the stones or to blur the food pictures and keep the food pictures in a fuzzy state, wherein:
the height of the stones or the definition of the food pictures reflects the activity level of DLPFC brain areas on two sides of the brain, and the higher the stones or the more fuzzy the food pictures are, the higher the activity level of the DLPFC is, the better the cognitive ability of the testee is improved.
Further, the array arrangement of the optical poles is as follows:
two optode arrays which are arranged in a 3 multiplied by 5 mode are adopted and are respectively and symmetrically placed on two sides of the forehead of a tested brain, the foremost and lowest optode of the left optode array is located at Fp1 of an international electroencephalogram 10-20 coordinate system, the lowermost line of optodes is horizontally arranged, and the distance between every two adjacent optodes is 3 cm; the bottom optical pole of the forefront of the optical pole array on the right side is located at Fp2 of an international electroencephalogram 10-20 coordinate system, the optical poles in the row at the bottom are horizontally arranged, and the distance between every two adjacent optical poles is 3 cm.
Further, the target brain area in the step (2) selects the bilateral dorsolateral prefrontal area of the tested head, calculates the mean value of a plurality of measurement channel oxygenated hemoglobin (HbO2) concentration variation data positioned in the target brain area, and presents the mean value to the tested head in the form of a dynamic picture. As shown in fig. 2, the test channel associated with the bilateral dorsolateral prefrontal area of the tested head includes 8 measurement channels, channel 4, channel 6, channel 7, channel 9, channel 26, channel 28, channel 29, and channel 31).
Further, based on the feedback form of the stone lifting, the stone height is calculated as follows:
firstly, calculating a baseline value S _ rest of each experiment (trial), and defining the baseline value S _ rest as the mean value of signals of the last 5S target brain area in the rest stage of the experiment;
secondly, calculating a feedback signal, wherein the feedback signal S _ FB is defined as a signal value S _ real of a target brain area during the adjustment of each experiment (trail) minus a baseline value S _ rest of the current experiment, namely S _ FB is S _ real-S _ rest;
finally, the stone height H, H — S _ FB/S _ FBmax is calculated, where: s _ FBmax is the adjusting difficulty, the larger the value is, the higher the adjusting difficulty is, the height H of the stone ranges from 0 to 1, 0 represents that the stone is at the highest point, and 1 represents that the stone is at the lowest point.
Further, based on the calculation mode of the fuzzy degree of the food picture in the feedback form of the fuzzy food picture:
firstly, calculating a baseline value S _ rest of each experiment (trial) and defining the baseline value S _ rest as the mean value of signals of the last 5S target brain area in the rest stage of the experiment;
secondly, calculating a feedback signal, wherein the feedback signal S _ FB is defined as a signal value S _ real of a target brain area during the adjustment of each experiment (trail) minus a baseline value S _ rest of the current experiment, namely S _ FB is S _ real-S _ rest;
finally, the food picture blur degree H is calculated, H ═ S _ FB/S _ FBmax, where: s _ FBmax is the adjustment difficulty, the larger the value is, the higher the adjustment difficulty is, the range of H is 0-1, 0 represents clearness, and 1 represents the most fuzzy.
Further, the psychological strategy tried to be adopted in step (3) includes:
imagine the negative effects of long-term consumption of high calorie food on the body, avoid the benefits of consuming high calorie food on the body, or inhibit the craving of high calorie food.
The method for regulating and controlling cognitive ability based on the fNIRS real-time neural feedback disclosed by the invention has the following beneficial effects:
the method belongs to a noninvasive brain regulation technology, changes the activity level of a brain region through endogenous self-regulation, further improves cognitive ability, and is safer and more reliable compared with the existing external stimulation regulation means such as Transcranial Magnetic Stimulation (TMS), transcranial direct current stimulation (tDCS) and the like;
2, the change condition of the activity level of the tested brain is fed back in real time in a visual mode, so that the tested brain can find a proper adjusting strategy, and the adjustment of the tested brain is facilitated at any time and any place without being limited in a hospital environment, thereby playing a role in long-term adjustment.
Drawings
FIG. 1 is a flow chart of a method for real-time feedback-based cognitive ability regulation of fNIRS in accordance with the present invention;
fig. 2 is a schematic diagram of the arrangement of the optical electrode array used in the present invention, wherein: the gray channel represents the emitting optode, and the white channel identifies the receiving optode;
FIG. 3A is a graph of the change in body weight of a subject after neurofeedback modulation;
FIG. 3B is a graph of reward changes to a high calorie diet tested before and after neurofeedback modulation;
FIG. 3C is a graph showing the degree of addiction to test foods before and after neurofeedback modulation;
FIG. 3D is a graph showing the change in the degree of anxiety in subjects before and after neurofeedback modulation;
FIG. 3E is a graph showing the change in the ease with which feeding is inhibited in a subject before and after neurofeedback modulation;
FIG. 3F is a graph of the change in sleep quality before and after neurofeedback modulation;
FIG. 4A is a diagram showing the variation of the working memory test accuracy in a short period of time before and after neural feedback regulation;
FIG. 4B is a diagram showing the response time of the short-term working memory test before and after neural feedback regulation;
FIG. 4C is a graph of the change in willingness to pay for high calorie food subject to test before and after neurofeedback modulation;
FIG. 4D is a graph showing the change in the test accuracy of inhibition of the response of the subject before and after neurofeedback modulation;
FIG. 4E is a graph of the change in the rate of missed response of the test for inhibition of the response to the test before and after neurofeedback modulation;
FIG. 4F is a graph of the change in the discount rate after the test delay before and after neurofeedback modulation.
Wherein: p in fig. 3A-3F represents statistical significance.
The specific implementation mode is as follows:
the following describes in detail specific embodiments of the present invention.
First, system building stage
Connecting a near-infrared brain imaging system (fNIRS) with an external computer by using a network cable, setting an IP address of the external computer and an IP address of the near-infrared brain imaging system to be in the same network segment, and testing whether the connection between the external computer and the near-infrared brain imaging system is successful by using a ping command so as to ensure that the data transmission between the external computer and the near-infrared brain imaging system is normal;
second, the stage of arranging and setting the optical pole array
The arrangement mode of the optical pole array shown in the attached figure 2 is adopted, and the setting steps are as follows:
step 1: arranging an optode arrangement array on the near infrared spectrum imaging system;
step 2: the optical fiber cap is manufactured, because the optical pole array arrangement mode adopted by the scheme is different from the array arrangement mode provided by a near-infrared imaging system manufacturer, the optical fiber cap without the optical pole array arrangement mode can be adopted, manual manufacturing is needed, and the manufacturing process is as follows:
2a) the optical fiber cap is worn on the tested head, an operator measures the head circumference of the tested head by using a tape measure, and positions of a plurality of key points such as Fp1 and Fp2 arranged in the light emitting electrode array are marked;
2b) marking the positions of the rest optodes according to the arrangement mode of the optode array;
2c) and taking the optical fiber cap off the tested head, punching a hole at the position of the marked optode, and fixing the optical fiber support on the optical fiber cap, so that the optical fiber cap is manufactured.
Third, real-time nerve feedback training stage
As shown in fig. 1, the method for regulating cognitive ability based on fNIRS real-time neurofeedback includes 12 real-time neurofeedback regulation trains performed in sequence, each real-time neurofeedback regulation train includes three experimental blocks (blocks), each experimental block includes 12 experiments (tries), wherein:
the interval between two adjacent real-time nerve feedback regulation training is 1-2 days;
the adjacent two experimental blocks are tested and rested for 5 minutes;
before each feedback training, the optodes are placed on the scalp to be tested according to a preset array arrangement mode, the optodes are adjusted to be in good contact with the scalp to be tested so as to ensure the signal quality, and the optodes are taken down until three experimental blocks are completed;
each experiment lasts for 1 minute, the first 30s of rest, the tested object keeps a rest state, the back 30s of adjustment requires the tested object to lift the height of the stone or fuzzify a food picture, and the adjustment comprises the following steps:
(1) measuring a blood oxygen level signal (i.e., a change in oxygenated hemoglobin concentration, HbO2) of the subject's brain using a near-infrared brain imaging system;
(2) the acquired cerebral blood oxygen level signal data are sent to an external computer in real time, and the target cerebral area blood oxygen level signal is presented to a testee in real time in a form of stone lifting/food picture fuzzification, wherein:
based on a feedback form of stone lifting, when the activity signal level of the target brain area rises in the adjusting stage, the height of the stone rises, otherwise, the height of the stone falls;
presenting a group of food pictures to a tested person based on a feedback form of food picture fuzzification, wherein when the activity signal level of a target brain area in an adjusting stage is increased, the fuzzy degree of the food pictures is increased, otherwise, the fuzzy degree is reduced;
(3) the adopted psychological strategy is adjusted in real time according to the rise and fall of the stones or the change of the fuzzy degree of the food pictures, the adjustment target is to adjust the stones to a high position and keep the stones or to blur the food pictures and keep the food pictures in a fuzzy state, wherein:
the height of the stones or the definition of the food pictures reflects the activity level of DLPFC brain areas on two sides of the brain, and the higher the stones or the more fuzzy the food pictures are, the higher the activity level of the DLPFC is, the better the cognitive ability of the testee is improved.
Further, the array arrangement of the optical poles is as follows:
two optode arrays which are arranged in a 3 multiplied by 5 mode are adopted and are respectively and symmetrically placed on two sides of the forehead of a tested brain, the foremost and lowest optode of the left optode array is located at Fp1 of an international electroencephalogram 10-20 coordinate system, the lowermost line of optodes is horizontally arranged, and the distance between every two adjacent optodes is 3 cm; the bottom optical pole of the forefront of the optical pole array on the right side is located at Fp2 of an international electroencephalogram 10-20 coordinate system, the optical poles in the row at the bottom are horizontally arranged, and the distance between every two adjacent optical poles is 3 cm.
Further, the target brain area in the step (2) selects bilateral dorsolateral prefrontal areas of the tested head, calculates an average value of the change data of the concentration of oxygenated hemoglobin of a plurality of measurement channels positioned in the target brain area, and presents the average value to the tested head in a dynamic picture form. As shown in fig. 2, the test channel associated with the bilateral dorsolateral prefrontal area of the tested head includes 8 measurement channels, channel 4, channel 6, channel 7, channel 9, channel 26, channel 28, channel 29, and channel 31).
Further, based on the feedback form of the stone lifting, the stone height is calculated as follows:
firstly, calculating a baseline value S _ rest of each experiment (trial), and defining the baseline value S _ rest as the mean value of signals of the last 5S target brain area in the rest stage of the experiment;
secondly, calculating a feedback signal, wherein the feedback signal S _ FB is defined as a signal value S _ real of a target brain area during the adjustment of each experiment (trail) minus a baseline value S _ rest of the current experiment, namely S _ FB is S _ real-S _ rest;
finally, the stone height H, H — S _ FB/S _ FBmax is calculated, where: s _ FBmax is the adjusting difficulty, the larger the value is, the higher the adjusting difficulty is, the height H of the stone ranges from 0 to 1, 0 represents that the stone is at the highest point, and 1 represents that the stone is at the lowest point.
Further, based on the calculation mode of the fuzzy degree of the food picture in the feedback form of the fuzzy food picture:
firstly, calculating a baseline value S _ rest of each experiment (trial) and defining the baseline value S _ rest as the mean value of signals of the last 5S target brain area in the rest stage of the experiment;
secondly, calculating a feedback signal, wherein the feedback signal S _ FB is defined as a signal value S _ real of a target brain area during the adjustment of each experiment (trail) minus a baseline value S _ rest of the current experiment, namely S _ FB is S _ real-S _ rest;
finally, the food picture blur degree H is calculated, H ═ S _ FB/S _ FBmax, where: s _ FBmax is the adjustment difficulty, the larger the value is, the higher the adjustment difficulty is, the range of H is 0-1, 0 represents clearness, and 1 represents the most fuzzy.
Further, the psychological strategy tried to be adopted in step (3) includes:
imagine the negative effects of long-term consumption of high calorie food on the body, avoid the benefits of consuming high calorie food on the body, or inhibit the craving of high calorie food.
Fourthly, cognitive testing and behavior measuring stage
We have conducted confirmatory experiments on the cognitive ability regulation of obese patients in the face of food inhibition control, impulsivity, decision making, short-term working memory, and the like, using the above invention contents. Before and after the start and end of treatment, we performed behavioral scale measurements and cognitive performance tests on the subjects, respectively.
The behavior scale contents include the following:
1, height, weight, BMI, waist circumference, etc.;
dietary behavior scales including the three-factor diet scale, the netherlands diet scale, the yale food addiction scale;
mental state scales including the hamilton anxiety scale, hamilton depression scale;
4, Pittsburgh sleep index scale for measuring the sleep condition of the tested subject;
the cognitive tests mainly comprise the following 4 tests:
1, the food willingness payment test measures the cognitive decision-making ability of a subject when confronted with the stimulation of food pictures by presenting the subject with high-calorie and low-calorie food pictures continuously and asking the subject to answer the question of how much you are willing to pay to buy the food by pressing a button after each picture;
2, the reaction inhibition test randomly presents target letters and non-target letters to a tested object, when the target letters appear, the tested object is required to press a reaction key as soon as possible, otherwise, the reaction inhibition capability of the tested object is measured in a non-reaction mode;
and 3, continuously presenting a group of pictures to the tested person through a short-time working memory test, requiring the tested person to compare the currently presented picture with the picture at the position spaced from the currently presented picture, and requiring the tested person to immediately press a response key if the pictures are the same, or not responding if the pictures are different. This test primarily measures the short-term working memory of the subject.
4, delayed discount test by having the subject answer a series of "give you 10 yuan immediately or 100 yuan after a week, please choose? The method solves the problem of combining different money rewards and delay time, finds out the equivalent time point of the tested preference to the instant smaller reward and the preference to the delayed larger reward, thereby calculating the tested delay discount rate which reflects the impulsivity of the tested.
Behavioral scale measurements show: the reward, food addiction value and anxiety level of obese patients for high calorie food (HC) are significantly reduced, as shown in figures 3B-3D; a reduced degree of non-suppression of food in the three-factor diet scale, as shown in figure 3E; the pittsburgh sleep scale score decreased significantly, indicating a significant improvement in the quality of the tested sleep, as shown in figure 3F; in addition, the weight of the test body is reduced by 2.58Kg on average, as shown in FIG. 3A.
The short-term working memory test results are shown in fig. 4A and 4B, the correct response rate of the tested object after training is increased, and the response time is decreased, which indicates that the short-term memory and response capability of the tested object are improved; the willingness to Pay for food (willingness to Pay for food) test shows that the result is shown in fig. 4C, the willingness to Pay for high-calorie food of the subject after training is reduced, and the cognitive decision-making ability of the subject is improved when the subject is confronted with food stimulation; the reaction inhibition test results are shown in fig. 4D and 4E, and the accuracy of the reaction of the test subject after training is increased, which indicates that the inhibition control capability of the test subject is improved to a certain extent; the delay discount (delay counting) test result is shown in fig. 4F, and the delay discount rate of the tested object after training is reduced, which indicates that the impulsivity of the tested object is reduced. The results show that the 12 real-time neural feedback regulation training effectively improves the cognitive decision-making ability of the obese patient when the obese patient faces food stimulation, improves the reaction inhibition and short-time working memory ability of the obese patient, and reduces the impulsivity.
The embodiments of the present invention have been described in detail. However, the present invention is not limited to the above-described embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the spirit of the present invention.
Claims (6)
1. The method for regulating and controlling cognitive ability through real-time nerve feedback based on the fNIRS is characterized by comprising 12 times of real-time nerve feedback regulation training which are sequentially carried out, wherein each time of real-time nerve feedback regulation training comprises three experimental blocks, each experimental block comprises 12 experiments, and the experimental blocks comprise the following steps:
the interval between two adjacent real-time nerve feedback regulation training is 1-2 days;
the adjacent two experimental blocks are tested and rested for 5 minutes;
before each feedback training, the optodes are placed on the scalp to be tested according to a preset array arrangement mode, the optodes are adjusted to be in good contact with the scalp to be tested so as to ensure the signal quality, and the optodes are taken down until three experimental blocks are completed;
each experiment lasts for 1 minute, the first 30s of rest, the tested object keeps a rest state, the back 30s of adjustment requires the tested object to lift the height of the stone or fuzzify a food picture, and the adjustment comprises the following steps:
(1) measuring a blood oxygen level signal of the tested brain by using a near-infrared brain imaging system;
(2) the acquired cerebral blood oxygen level signal data are sent to an external computer in real time, and the target cerebral area blood oxygen level signal is presented to a testee in real time in a form of stone lifting or food picture fuzzification, wherein:
based on a feedback form of stone lifting, when the activity signal level of the target brain area rises in the adjusting stage, the height of the stone rises, otherwise, the height of the stone falls;
presenting a group of food pictures to a tested person based on a feedback form of food picture fuzzification, wherein when the activity signal level of a target brain area in an adjusting stage is increased, the fuzzy degree of the food pictures is increased, otherwise, the fuzzy degree is reduced;
(3) the adopted psychological strategy is adjusted in real time according to the rise and fall of the stones or the change of the fuzzy degree of the food pictures, the adjustment target is to adjust the stones to a high position and keep the stones or to blur the food pictures and keep the food pictures in a fuzzy state, wherein:
the height of the stones or the definition of the food pictures reflects the activity level of DLPFC brain areas on two sides of the brain, and the higher the stones or the more fuzzy the food pictures are, the higher the activity level of the DLPFC is, the better the cognitive ability of the testee is improved.
2. The method of fNIRS-based real-time neurofeedback-regulated cognition of claim 1, wherein the optodes are arranged in an array as follows:
two optode arrays which are arranged in a 3 multiplied by 5 mode are adopted and are respectively and symmetrically placed on two sides of the forehead of a tested brain, the foremost and lowest optode of the left optode array is located at Fp1 of an international electroencephalogram 10-20 coordinate system, the lowermost line of optodes is horizontally arranged, and the distance between every two adjacent optodes is 3 cm; the bottom optical pole of the forefront of the optical pole array on the right side is located at Fp2 of an international electroencephalogram 10-20 coordinate system, the optical poles in the row at the bottom are horizontally arranged, and the distance between every two adjacent optical poles is 3 cm.
3. The method of fNIRS-based real-time neurofeedback cognitive ability regulation according to claim 1, wherein the target brain region of step (2) is selected from bilateral dorsolateral prefrontal areas of the head of the subject, and the mean of the data of the change in the concentration of oxygenated hemoglobin of the plurality of measurement channels located in the target brain region is calculated and presented to the subject in the form of a dynamic frame.
4. The method for fNIRS-based real-time neurofeedback cognitive ability as claimed in claim 1, wherein the stone height is calculated based on the feedback form of stone elevation as follows:
firstly, calculating a baseline value S _ rest of each experiment, and defining the baseline value S _ rest as the mean value of signals of the last 5S target brain area in the rest stage of the experiment;
secondly, calculating a feedback signal S _ FB, wherein the feedback signal S _ FB is defined as a signal value S _ real of a target brain area during the adjustment period of each experiment minus a baseline value S _ rest of the current experiment, namely S _ FB is S _ real-S _ rest;
finally, the stone height H, H — S _ FB/S _ FBmax is calculated, where: s _ FBmax is the adjusting difficulty, the larger the value is, the higher the adjusting difficulty is, the height H of the stone ranges from 0 to 1, 0 represents that the stone is at the highest point, and 1 represents that the stone is at the lowest point.
5. The method for fNIRS-based real-time neurofeedback cognitive ability regulation according to claim 1, wherein the food picture blur degree in the feedback form based on food picture blur is calculated in a manner that:
firstly, calculating a baseline value S _ rest of each experiment, and defining the baseline value S _ rest as the mean value of signals of the last 5S target brain area in the rest stage of the experiment;
secondly, calculating a feedback signal S _ FB, wherein the feedback signal S _ FB is defined as a signal value S _ real of a target brain area during the adjustment period of each experiment minus a baseline value S _ rest of the current experiment, namely S _ FB is S _ real-S _ rest;
finally, the food picture blur degree H is calculated, H ═ S _ FB/S _ FBmax, where: s _ FBmax is the adjustment difficulty, the larger the value is, the higher the adjustment difficulty is, the range of H is 0-1, 0 represents clearness, and 1 represents the most fuzzy.
6. The method of fNIRS-based real-time neurofeedback-regulated cognition according to claim 1, wherein the psychological strategy tried in step (3) comprises:
imagine the negative effects of long-term consumption of high calorie food on the body, avoid the benefits of consuming high calorie food on the body, or inhibit the craving of high calorie food.
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