CN114733037A - Attention deviation training system and method based on theta neural rhythm - Google Patents
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Abstract
The invention provides an attention deviation training system and method based on theta neural rhythm. The preparation module autonomously determines a training object according to the characteristics of a user; the training module combines the neural rhythm theory of attention transfer with the traditional training mode, utilizes the key nodes based on cognitive nerve entrainment and perception sensitivity weakening, and aims at attention deviation and two subcomponents thereof: training by paying attention to enhancement and paying attention to relief of difficulty; the front and rear measurement module determines the level of difficulty in deviation of attention, enhancement of attention and removal of attention of a user to a specific stimulus by using a traditional point detection task, and if the rear measurement value is smaller than the front measurement value for the same behavior index, the training is effective. The invention can carry out targeted and efficient training on the specific attention bias of the user, and obviously improves the effectiveness and stability of the attention bias training.
Description
Technical Field
The invention belongs to the technical field of attention bias training, and particularly relates to attention bias training technology based on theta neural rhythm.
Background
Attention bias refers to an individual allocating more attention resources to a certain type of stimulus in the environment. While the shift in attention to a particular stimulus has been shown to be associated with anxiety, depression, substance addiction, drug dependence, and the like. Attention bias training is a systematic training procedure that alters or corrects an individual's attention bias. This training is widely used because it is computer-based, relatively inexpensive, and non-invasive and non-side-effects.
In recent years, improved Dot Probe Training (DPT) has become the most frequently used attention-bias training technique, and aims to draw the attention of a subject away from a bias stimulus by training. The task may specifically distinguish two sub-components of attention bias: attention enhancement and attention relief difficulties. Attention enhancement refers to attention being more easily or quickly drawn to a certain type of stimulus; the difficulty in relieving attention means that it is difficult to transfer from such a stimulus to another stimulus after attention is drawn. However, the existing attention-oriented training technology at the present stage has the main problems of unstable training result and low training efficiency, and the fundamental reason is lack of reliable support of neuroscience rules.
In order to effectively improve the efficiency of the existing point detection training, the invention focuses on the leading edge theory of attention transfer, namely the neural rhythm theory. The theory holds that theta's neural rhythm organizes neural activity into alternating states of increased or decreased perceptual sensitivity. When perceptual sensitivity diminishes, the individual exhibits diminished sensory processing of the current attention location, thereby increasing the likelihood that attention will be diverted to other locations. Therefore, the theta neural rhythm is combined with the traditional point detection training, and the key node with weakened perceptual sensitivity is utilized to enable the process of removing attention from the biased stimulus in the traditional training to be twice with half the effort, so that the effectiveness and the stability of the biased attention training are remarkably improved.
Disclosure of Invention
In order to solve the defects of the prior art, the invention mainly aims to provide a novel attention bias training technology based on theta neural rhythm, which can flexibly determine a training object according to the characteristic of attention bias of a user, and perform targeted and efficient training on attention bias by using key nodes based on cognitive nerve entrainment and perception sensitivity reduction.
In order to achieve the technical effects, the technical scheme of the invention is as follows:
a theta-based neural rhythm attention bias training system and method comprises a plurality of behavior testing modules, and a user can conduct behavior testing during attention bias evaluation and training. And each behavior test module is internally provided with a task paradigm for a user to perform behavior test.
And the preparation module is used for determining the attention bias evaluation and the picture material used for training according to the stimulation type of the attention bias of the user defined by the characteristics of the user before the attention bias evaluation.
A look-ahead module, in the attention bias assessment, to determine a baseline level of user attention bias.
And the training module is used for transferring the attention bias of the user to the target stimulation type during the attention bias training. The user uses a computer to perform attention bias training based on the theta neural rhythm. Firstly presenting a fixation point of 0.5 second; next a 0.05 second (non-) attention biased picture (picture material derived from the stimulation type determined by the preparation module according to the user's attention bias) is presented, followed by a 0.083 second blank screen; the combination of the 0.083 second (non-) attention biased picture and the 0.083 second blank screen is then presented 11 times repeatedly, followed by the 13 th 0.05 second (non-) attention biased picture. These 13 stimuli are presented in terms of theta rhythm, the neural oscillations of which are induced by the nerve entrainment technique. Subsequent presentation of a 0.017 second blank screen brings the next target to a phase of diminished perceptual sensitivity in the theta neural rhythm, encouraging a shift in attention; then presenting a non-attention biased picture of 0.05 second, then presenting a blank screen of 0.083 second, then presenting a picture pair of the attention biased picture and the non-attention biased picture of 0.05 second (presenting in bilateral symmetry of the screen, random position), then presenting a blank screen of 0.083 second, then randomly presenting a detection point "●" at any position where two pictures appear, requiring the user to make a key reaction on the detection point "●" position at the fastest speed on the basis of ensuring the correct position, pressing down the "F" key with the left index finger at the left side of the detection point, pressing down the "J" key with the right index finger at the right side of the detection point, after the user makes the key reaction, then randomly presenting a task requiring the user to judge the property of the (non) attention biased picture that is presented before flickering, if flickering the non-attention biased picture presses the "×" key, flickering the attention biased picture "↓" key until the user presses down, then, displaying a 1-second empty screen, and entering the next training trial; the user first performs 16 trial exercises, and after the user is familiar with the training program, the user enters formal training. The formal training has 4 blocks, each block has 64 trials, the trials in each block are random, the rest can be properly carried out for 3-5 minutes after the training of each block is completed, and the total time of one training is about 30 minutes.
And the rear measurement module is used for determining the attention deviation level of the user after training during attention deviation evaluation, and comparing the attention deviation level with the baseline level of the front measurement module to judge the training effect.
The technical scheme of the invention has the following beneficial effects:
1. the acquisition during the reaction is simple and convenient, the cost is lower, the computer can be used for realizing the reaction, the computer can easily enter a common family, and the attention deviation training can be completed at home;
2. compared with the prior attention deviation training technology, the invention improves the attention deviation training technology, fuses the neural entrainment theory and the attention theta neural rhythm theory, and effectively improves the attention transfer efficiency in the attention deviation training;
3. according to the characteristics of the user, the training object is autonomously determined, the pertinence of attention bias training is effectively improved, and the training method is suitable for training anxiety, depression, fear, addiction and other unfavorable attention bias.
Drawings
FIG. 1 is a flow chart of the technique of the present invention.
Fig. 2 is a flow chart of a conventional point detection training process.
FIG. 3 is a flowchart of the theta neural rhythm-based attention bias training technique of the present invention.
Detailed Description
The following detailed description of the embodiments of the present invention is provided in conjunction with fig. 1 and the following examples, which are provided to illustrate the present invention but not to limit the scope of the present invention.
The invention provides an attention bias training system and method based on theta neural rhythm, as shown in the figure 1, the system comprises a plurality of behavior test modules for a user to perform behavior test during attention bias evaluation and training. And each behavior testing module is internally provided with a behavior realization task paradigm for a user to perform behavior testing. Referring to fig. 1, there are 4 modules, namely a preparation module, a front test module, a training module and a rear test module.
(1) And the preparation module is used for determining the attention bias evaluation and the picture material used for training according to the stimulation type of the attention bias of the user defined by the characteristics of the user before the attention bias evaluation.
According to the feeling of daily life or the related suggestions of professional institutions, a user determines that the user has a certain degree of attention bias to certain stimulation, and further determines the materials used in subsequent training. The material contains three types of pictures: the first type is a biased picture, namely a picture directly related to a stimulus with attention bias; the second category is non-biased pictures, i.e. pictures of the same type as the stimulus but belonging to stimuli that are not attention-biased and are relatively more positive for the user (e.g. alcohol-other drinks for individuals with attention-biased alcoholic drinks), or pictures of stimuli that are not of the same type as the stimulus but are consistent with the biased stimulus from a specific point of view and are relatively more positive (e.g. net tour, web chat-cate, sports for individuals with attention-biased network-related stimuli from a reward point of view); the third category is a neutral picture, i.e., a picture of the stimulus that is the same as the stimulus but that is not attention-biased and neutral in nature to the user (e.g., negative mood face-neutral mood face for an individual with attention bias to a negative mood stimulus), or a picture of the stimulus that is completely unrelated to the stimulus (e.g., drug-tool for an individual with attention bias to a drug). At least 50 pictures of the three types of pictures are processed uniformly by using picture processing software, so that key information is ensured to be positioned in the center of the pictures, the interference of irrelevant information in the pictures is weakened as much as possible, the resolution ratio of the pictures is 260 multiplied by 300, and the overall tone is consistent.
(2) A look-ahead module, in the attention bias assessment, to determine a baseline level of user attention bias. A behavior test program containing attention deviation evaluation is realized based on a traditional point detection task paradigm.
A baseline level of attention bias is determined using conventional point detection training. As shown in fig. 2, firstly, a "+" is presented in the center of the screen for 0.5 second, the user is reminded of paying attention to the screen, then the "+" disappears, one picture (from picture material determined by the stimulation type of the user attention bias) is presented in the left-right symmetrical direction of the screen, a picture pair (attention bias & neutral picture pair, neutral & non-attention bias picture pair, attention bias & non-attention bias picture pair) is formed, the left and right positions of the two pictures are random, the presentation time is 0.5 second, then 0.05 second of blank screen is followed, then a detection point "●" is presented at any position of the two pictures at random, the user is required to make key reaction at the fastest speed on the basis of ensuring the correct position of the detection point "●" by pressing the left hand with the index finger, the detection point presses the "F" key at the left side, the probe point presses the "J" key with the right index finger on the right side, and the user does not respond after making a key response or after 2 seconds, and then presents a 1 second blank screen to enter the next trial.
The user firstly carries out 8 trial exercises, and after the user is familiar with the program, the user enters formal testing. The formal test has 3 chunks, each chunk has 48 test times, the four picture pairs have 36 test times respectively, all the test times are random in sequence, the rest can be properly carried out for 3-5 minutes after the test of one chunk is finished, and the total time of one test is about 20 minutes. The reaction time of the user and the number of correct trials are recorded during the test.
And (3) preprocessing reaction time, namely firstly removing data of wrong test times and data of more than 1 second or less than 0.2 second, then calculating the mean value and standard deviation of the reaction time of the remaining correct test times, then removing abnormal values except +/-3 standard deviations, and using the remaining reaction time data to calculate different attention scores.
An attention index is calculated. Note that the indicator calculation includes a Reaction Time (RT) indicator. According to the definition of attention bias component theory on attention bias, attention enhancement and attention relief difficulty, the reaction under different conditions is calculated. Specific behavior indexes include: attention bias index y of bias stimulus1Attention bias index y of non-biased stimulation2Attention enhancement index y of biased stimulation3Attention enhancement index y of non-biased stimulation4Indicator y of difficulty in relieving attentiveness to stimulation5Non-biased stimulation attention-relief difficulty index y6。
The attention bias index y of the bias stimulus1Expressed as:
y1 =RT(neutral)&Biased) -neutral－RT(neutral)&Deflection) -deflection
The attention bias index y of the non-bias stimulus2Expressed as:
y2 =RT(neutral)&Non-biased) -neutral－RT(neutral)&Non-deflected) -non-deflected
Wherein, RT(neutral)&Biased) -neutralIndicates that the subject is "neutral&Biased towards "the average reaction of the probe point in the picture pair at the neutral picture position; RT (reverse transcription)(neutral)&Deflection) -deflectionIndicates that the subject is "neutral&Biased towards' average reaction of the detection point in the picture pair at the biased picture position; RT (reverse transcription)(neutral)&Non-deflected) -neutralIndicates that the subject is "neutral&Non-biased' average reaction time of a detection point in a picture pair at a neutral picture position; RT (reverse transcription)(neutral)&Unbiased) -unbiasedIndicates that the subject is "neutral&Non-biased "the average response of a probe point in a picture pair at a non-biased picture position. If y1 >0, indicating that the subject responds faster to the detection point biased to the picture position, and the attention bias exists to the biased stimulation; if y2 >0, indicating subject to nonThe detection points at the biased picture positions react faster, and attention bias exists for non-biased stimulation.
The attention enhancement index y of the biased stimulus3Expressed as:
y3 =RT(neutral)&Neutral) -neutral－RT(neutral)&Deflection) -deflection
The non-biased stimulation attention enhancement index y4Expressed as:
y4 =RT(neutral)&Neutral) -neutral－RT(neutral)&Non-deflected) -non-deflected
Wherein, RT(neutral)&Neutral) -neutralIndicates that the subject is "neutral&Average reaction time of the neutral picture to the detection point at the neutral picture position; RT (reverse transcription)(neutral)&Deflection) -deflectionIndicates that the subject is "neutral&Biased towards' average reaction of the detection point in the picture pair at the biased picture position; RT (reverse transcription)(neutral)&Neutral) -neutralIndicates that the subject is "neutral&Average reaction time of the neutral picture to the detection point at the neutral picture position; RT (reverse transcription)(neutral)&Non-deflected) -non-deflectedIndicates that the subject is "neutral&Non-biased "average response of probe points in a picture pair at non-biased picture positions. If y3 >0, indicating that the subject responded faster to probe points biased to the image position relative to the baseline level, with increased attention to the biased stimulus; if y4 >0, indicates that the subject responded faster to the probe point at the non-biased picture position relative to the baseline level, and there was an increased attention to the non-biased stimulus.
The above-mentioned attention-deficit disorder index y5Expressed as:
y5 =RT(neutral)&Biased) -neutral－RT(neutral)&Neutral) -neutral
The non-biased stimulation attention-relieving difficulty index y6Expressed as:
y6 =RT(neutral)&Non-deflected) -neutral－RT(neutral)&Neutral) -neutral
Wherein, RT(neutral)&Biased) -neutralIndicates that the subject is "neutral&Biased towards "average reaction of the probe point in the picture pair at the neutral picture position; RT (reverse transcription)(neutral)&Neutral) -neutralIndicates that the subject is "neutral&Average reaction time of the neutral picture to the detection point at the neutral picture position; RT (reverse transcription)(neutral)&Non-deflected) -neutralIndicates that the subject is "neutral&Non-biased' average reaction time of a detection point in a picture pair at a neutral picture position; RT (reverse transcription)(neutral)&Neutral) -neutralIndicates that the subject is "neutral&The average reaction of the probe point in the neutral "picture pair at the neutral picture position. If y5 >0, indicating that the subject responded more quickly to probe points biased toward the location of the picture relative to the baseline level, and again required attention to be diverted to "neutral"&Biased towards "neutral pictures in the picture pair, thus presenting difficulties in relieving the attention to the biased stimulus; if y6 >0, indicating that the subject responded faster to the probe point at the non-biased picture position relative to the baseline level, and a renewed shift in attention to "neutral" was required&Non-biased "neutral pictures in the picture pair, and thus there is a difficulty in relieving attention to the non-biased stimulus.
(3) And the training module is used for transferring the attention bias of the user to the target stimulation type during the attention bias training. The behavior program containing attention biased training is realized based on the point detection task paradigm of theta neural rhythm.
As shown in fig. 3 above, a 0.5 second point of regard is presented first; next a 0.05 second (non-) attention biased picture (from picture material previously determined according to the stimulation type of user attention bias) is presented, followed by a 0.083 second blank screen; the combination of the 0.083 second (non-) attention biased picture and the 0.083 second blank screen is then presented 11 times repeatedly, followed by the 13 th 0.05 second (non-) attention biased picture. These 13 stimuli are presented in terms of theta rhythm, the neural oscillations of which are induced by the nerve entrainment technique. Subsequent presentation of a 0.017 second blank screen brings the next target to a phase of diminished perceptual sensitivity in the theta neural rhythm, encouraging a shift in attention; then a non-attention biased picture of 0.05 second is presented, then an empty screen of 0.083 second is presented, then a picture pair of an attention biased picture and a non-attention biased picture of 0.05 second is presented (presented in bilateral symmetry on the screen and at random positions), then an empty screen of 0.083 second is presented, then a detection point ' ● ' is presented at random at any position where two pictures appear, the user is required to make a key reaction on the detection point ' ● ' position at the fastest speed on the basis of ensuring the correct position, the detection point presses down the ' F ' key with the left-hand index finger at the left side, the detection point presses down the ' J ' key with the right-hand index finger at the right side, after the user makes a key reaction, a task of requiring the user to judge the nature of the (non-) attention biased picture presented in a flashing manner is presented at random, if the non-attention biased picture presses the's ' ± deviation key, the attention biased picture ' key is flashed until the user makes a key reaction, then a 1 second blank screen is presented and the next training trial is entered.
The user first performs 16 trial exercises, and after the user is familiar with the training program, the user enters formal training. The formal training has 4 blocks, each block has 64 trials, the trials in each block are random, the rest can be properly carried out for 3-5 minutes after the training of each block is completed, and the total time of one training is about 30 minutes.
(4) And the rear measurement module is used for determining the level of attention deviation after the user receives training and comparing the level with the baseline level of the front measurement module to judge the training effect when the attention deviation is evaluated. A behavior test program containing attention deviation evaluation is realized based on a traditional point detection task paradigm.
The level of attention bias is determined using conventional point detection training. As shown in fig. 2, firstly, a "+" is presented in the center of the screen for 0.5 second to remind the user to pay attention to the screen, then the "+" disappears, one picture (consistent with the picture material used in the traditional point detection before training) is presented in the bilateral symmetry direction of the screen, a picture pair (attention deviation & neutral picture pair, neutral & neutral deviation picture pair, neutral & non-attention deviation picture pair, attention deviation & non-attention deviation picture pair) is formed, the two pictures are randomly located, the presentation time is 0.5 second, then the empty screen is 0.05 second, then a detection point "●" is randomly presented in any position where the two pictures appear, the user is required to make key reaction at the fastest speed on the basis of ensuring the correct position of the detection point "●", the detection point presses the "F" key with the left index finger, the detection point presses the "J" key with the right index finger on the right side, after the user makes a key reaction or the user still does not react within 2 seconds, a 1-second blank screen is presented, and the next trial is entered.
The user firstly exercises 8 trials, and after the user is familiar with the test program, the user enters formal test. The formal test has 3 chunks, each chunk has 48 test times, the four picture pairs have 36 test times respectively, all the test times are random in sequence, the rest can be properly carried out for 3-5 minutes every time the test of one chunk is completed, and the total time of one test is about 20 minutes. The reaction time of the user and the number of correct trials are recorded during the test.
Preprocessing reaction time, firstly removing data of wrong test times and data more than 1 second or less than 0.2 second, then calculating the mean value and standard deviation of the reaction time of the remaining correct test times, then removing abnormal values except +/-3 standard deviations, and using the remaining reaction time data to calculate different attention scores.
An attention index is calculated. Note that the index calculation includes a reaction time index. According to the definition of attention bias component theory on attention bias, attention enhancement and attention relief difficulty, the reaction under different conditions is calculated. Specific behavior indexes include: attention bias index y of bias stimulus1Attention bias index y of non-biased stimulation2Attention enhancement index y of biased stimulation3Attention enhancement index y of non-biased stimulation4Indicator y of difficulty in relieving attentiveness to stimulation5Non-biased stimulation attention-relief difficulty index y6。
The attention bias index y of the bias stimulus1Expressed as:
y1 =RT(neutral)&Biased) -neutral－RT(neutral)&Deflection) -deflection
The attention bias index y of the non-biased stimulation2Expressed as:
y2 =RT(neutral)&Non-deflected) -neutral－RT(neutral)&Non-deflected) -non-deflected
Wherein, RT(neutral)&Biased) -neutralIndicates that the subject is "neutral&Biased towards "average reaction of the probe point in the picture pair at the neutral picture position; RT (reverse transcription)(neutral)&Deflection) -deflectionIndicates that the subject is "neutral&The average reaction of the detection points in the image pair in the deflection image position is deflected; RT (reverse transcription)(neutral)&Non-deflected) -neutralIndicates that the subject is "neutral&Non-biased' average reaction time of a detection point in a picture pair at a neutral picture position; RT (reverse transcription)(neutral)&Non-deflected) -non-deflectedIndicates that the subject is "neutral&Non-biased "average response of probe points in a picture pair at non-biased picture positions. If y1 >0, indicating that the subject responds faster to the detection point biased to the picture position, and the attention bias exists to the biased stimulation; if y2 >0, indicates that the subject responds faster to the probe point at the non-biased picture position, and there is a bias of attention to the non-biased stimulus.
The attention enhancement index y of the biased stimulus3Expressed as:
y3 =RT(neutral)&Neutral) -neutral－RT(neutral)&Deflection) -deflection
The non-biased stimulation attention enhancement index y4Expressed as:
y4 =RT(neutral)&Neutral) -neutral－RT(neutral)&Non-deflected) -non-deflected
Wherein, RT(neutral)&Neutral) -neutralIndicates that the subject is "neutral&Average reaction time of the neutral picture to the detection point at the neutral picture position; RT (reverse transcription)(neutral)&Deflection) -deflectionIndicates that the subject is "neutral&Biased towards' average reaction of the detection point in the picture pair at the biased picture position; RT (reverse transcription)(neutral)&Neutral) -neutralIndicates that the subject is "neutral&Average reaction of probe points in neutral "picture pairs at neutral picture positions; RT (reverse transcription)(neutral)&Unbiased) -unbiasedIndicates that the subject is "neutral&Non-biased "average response of probe points in a picture pair at non-biased picture positions. If y3 >0, descriptionSubjects responded faster to probe points biased to the picture position relative to the baseline level, with increased attention to biased stimuli; if y4 >0, indicates that the subject responded faster to the probe point at the non-biased picture position relative to the baseline level, and there was an increased attention to the non-biased stimulus.
The above-mentioned attention-deficit/disincentive stimulation index y5Expressed as:
y5 =RT(neutral)&Biased) -neutral－RT(neutral)&Neutral) -neutral
The non-biased stimulation attention-relieving difficulty index y6Expressed as:
y6 =RT(neutral)&Non-deflected) -neutral－RT(neutral)&Neutral) -neutral
Wherein, RT(neutral)&Biased) -neutralIndicates that the subject is "neutral&Biased towards "average reaction of the probe point in the picture pair at the neutral picture position; RT (reverse transcription)(neutral)&Neutral) -neutralIndicates that the subject is "neutral&Average reaction of probe points in neutral "picture pairs at neutral picture positions; RT (reverse transcription)(neutral)&Non-deflected) -neutralIndicates that the subject is "neutral&Non-biased' average reaction time of a detection point in a picture pair at a neutral picture position; RT (reverse transcription)(neutral)&Neutral) -neutralIndicates that the subject is "neutral&The average reaction of the probe point in the neutral "picture pair at the neutral picture position. If y5 >0, indicates that the subject responds more quickly to probe points biased toward the location of the picture relative to the baseline level, and further attention needs to be diverted to "neutral"&Biased towards "neutral pictures in the picture pair, thus presenting difficulties in attention relief to biased stimuli; if y6 >0, indicates that the subject responded to the probe point at the non-biased picture position faster relative to the baseline level and again required attention to be shifted to "neutral"&Non-biased "neutral pictures in the picture pair, and thus there is a difficulty in relieving attention to the non-biased stimulus.
And comparing the behavior indexes before and after training to judge the training effect. For the same behavior index value, if the training is followed by < before training, it indicates that the attention bias training based on the theta neural rhythm is effective in training the user's attention bias, attention enhancement or difficulty in attention removal for a specific stimulus, and otherwise, it indicates that the training is ineffective.
Claims (4)
1. An attention bias training system and method based on theta neural rhythm is characterized by comprising the following 4 modules:
a preparation module: defining the stimulation type of the user attention bias, and determining picture materials used for training;
a front measurement module: determining a baseline level of attention bias using a traditional point detection task;
a training module: receiving attention bias training based on theta neural rhythm;
a post-measurement module: the post-training level of attention bias was determined using a conventional point detection task and compared to the pre-training baseline level.
2. The system and method for attention bias training based on theta neural rhythm as claimed in claim 1, wherein the preparation module determines the image material for attention bias evaluation and training according to the stimulation type of attention bias defined by the user's own characteristics;
according to the feeling of daily life or the related suggestions of professional institutions, a user determines that the user has a certain degree of attention bias to certain stimulation, and further determines the materials used in subsequent training;
web search three types of picture material: the first type is a biased picture, namely a picture directly related to a stimulus with attention bias; the second category is non-biased pictures, i.e. pictures of the same type as the stimulus but belonging to stimuli that are not attention-biased and are relatively more positive for the user (e.g. alcohol-other drinks for individuals with attention-biased alcoholic drinks), or pictures of stimuli that are not of the same type as the stimulus but are consistent with the biased stimulus from a specific point of view and are relatively more positive (e.g. net tour, web chat-cate, sports for individuals with attention-biased network-related stimuli from a reward point of view); the third category is a neutral picture, i.e., a picture of the stimulus that is the same as the stimulus but that is not attention-biased and neutral in nature to the user (e.g., negative mood face-neutral mood face for an individual with attention bias to a negative mood stimulus), or a picture of the stimulus that is completely unrelated to the stimulus (e.g., drug-tool for an individual with attention bias to a drug);
at least 50 pictures of the three types of pictures are processed uniformly by using picture processing software, so that key information is ensured to be positioned in the center of the pictures, the interference of irrelevant information in the pictures is weakened as much as possible, the resolution ratio of the pictures is 260 multiplied by 300, and the overall tone is consistent.
3. The theta neural rhythm-based attention bias training system and method as claimed in claim 1, wherein the training module is adapted to shift the user's attention bias to the target stimulation type; the method comprises a behavior program of attention biased training, namely the realization of a point detection task paradigm based on theta neural rhythm, and comprises the following specific processes:
the user uses a computer to carry out attention deviation training based on theta neural rhythm;
firstly presenting a 0.5 second fixation point; next a 0.05 second (non-) attention-biased picture (from picture material previously determined according to the stimulation type of user attention bias) is presented followed by an empty screen of 0.083 seconds; then repeatedly presenting a combination of 11 times 0.05 second (non-) attention biased picture and 0.083 second blank screen, and then presenting 13 times 0.05 second (non-) attention biased picture; the 13 times of stimulation are presented in theta rhythm, and the neural oscillation of the theta rhythm is induced by a nerve entrainment technology; subsequent presentation of a 0.017 second blank screen brings the next target to a phase of diminished perceptual sensitivity in the theta neural rhythm, encouraging a shift in attention; then presenting a non-attention biased picture of 0.05 second, then presenting a blank screen of 0.083 second, then presenting a picture pair of the attention biased picture and the non-attention biased picture of 0.05 second (presenting in bilateral symmetry of the screen, random position), then presenting a blank screen of 0.083 second, then randomly presenting a detection point "●" at any position where two pictures appear, requiring the user to make a key reaction on the detection point "●" position at the fastest speed on the basis of ensuring the correct position, pressing down the "F" key with the left index finger at the left side of the detection point, pressing down the "J" key with the right index finger at the right side of the detection point, after the user makes the key reaction, then randomly presenting a task requiring the user to judge the property of the (non) attention biased picture that is presented before flickering, if flickering the non-attention biased picture presses the "×" key, flickering the attention biased picture "↓" key until the user presses down, then, displaying a 1-second empty screen, and entering the next training trial;
the user firstly exercises for 16 trials, and after the user is familiar with the training program, the user enters formal training; the formal training has 4 blocks, each block has 64 trials, the trials in each block are random, the rest can be properly carried out for 3-5 minutes after the training of each block is completed, and the total time of one training is about 30 minutes.
4. The theta neural rhythm-based attention bias training system and method as claimed in claim 1, wherein the post-test module judges the training effect by comparing the behavior indexes before and after training;
for the same behavior index value, if the training is followed by < before training, it means that the attention bias training based on the theta neural rhythm is effective in training the attention bias, the attention enhancement or the difficulty in attention removal of the user with respect to the specific stimulus, and if not, it means that the training is ineffective.
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