CN112205977A - Biofeedback treatment method for improving insomnia based on functional magnetic resonance - Google Patents
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Abstract
The invention belongs to the technical field of nerve feedback, and particularly relates to a biofeedback treatment method for improving insomnia based on functional magnetic resonance, which comprises a magnetic resonance scanning imaging module, a data control module, a real-time data processing module and a visual and auditory information feedback module; the data control module is connected with the real-time data processing module, the real-time data processing module is connected with the visual and auditory information feedback module, and the visual and auditory information feedback module is connected with the magnetic resonance scanning imaging module; the magnetic resonance scanning imaging module comprises magnetic resonance imaging scanning equipment and an image reconstruction workstation, the data control module comprises a main control machine, the real-time data processing module comprises a real-time processing workstation, and the visual and auditory information feedback module comprises visual and auditory stimulation feedback equipment; by using the system, the scores of the relevant scales of insomnia and depression of patients are improved, and the sleep quality is improved.
Description
Technical Field
The invention belongs to the technical field of nerve feedback, and particularly relates to a biofeedback treatment method for improving insomnia based on functional magnetic resonance.
Background
Insomnia Disorder (ID) is a major public health problem affecting the health and life quality of people, ID can not only cause day-to-day dysfunction of patients, but also increase the incidence rate of cardiovascular diseases, depression, anxiety, dementia and other diseases, and brings a heavy burden to national economy and resident health, however, at present, the ID pathogenesis is not clear, and the ID treatment is challenged, so that the research on the ID pathogenesis and the innovative therapy meet the mental health requirements of the nation and people, and the method has great social value.
Current treatments for ID mainly include drug therapy and non-drug therapy. The clinical long-term drug therapy has limitations and may bring a series of side effects and drug dependence. The American medical society adult insomnia clinical diagnosis and treatment guide and the Chinese adult insomnia diagnosis and treatment guide recommend non-drug treatment as first-line therapy to be applied to ID clinical treatment. At present, the clinical non-drug adjuvant therapy ID mainly comprises psychotherapy, physical therapy and traditional Chinese medicine therapy. Psychological treatment improves insomnia through interview, psychological counseling, sleep habit change and the like, but certain blindness exists at present, brain activity change cannot be observed in real time, and brain neurobiology level change and effective neurobiology mechanisms thereof cannot be clarified. The traditional Chinese medicine decoction for oral administration needs treatment based on syndrome differentiation, the operation of an external treatment method is complicated (point selection and manipulation), and standardized treatment is difficult, so that the repeatability is not high in different medical environments.
At present, the treatment for insomnia not only depends on drug treatment, but also adopts treatment methods including physical means, which are fully determined by relevant experts, and the treatment mechanism mainly changes the brain wave activity through external factors, thereby achieving the effect of treating insomnia; the biofeedback therapy is a promising one in insomnia physical therapy, the nerve feedback method based on the electroencephalogram signals can overcome the defects of CBT, but the spatial resolution is low, and only the electroencephalogram signals of the brain epidermis can be recorded. Therefore, there is a need to develop innovative and effective technical means for the research of ID pathogenesis and clinical comprehensive treatment.
The biofeedback therapy is a promising one in insomnia physical therapy, the nerve feedback method based on the electroencephalogram signals can overcome the defects of CBT, but the spatial resolution is low, and only the electroencephalogram signals of the brain epidermis can be recorded; therefore, there is a need to develop innovative and effective technical means for the research of ID pathogenesis and clinical comprehensive treatment.
Disclosure of Invention
In order to solve the above problems, the present invention provides a biofeedback treatment method for improving insomnia based on functional magnetic resonance.
In order to achieve the purpose, the invention adopts the following technical scheme: a biofeedback treatment method for improving insomnia based on functional magnetic resonance comprises a magnetic resonance scanning imaging module, a data control module, a real-time data processing module and a visual and auditory information feedback module; the data control module is connected with the real-time data processing module, the real-time data processing module is connected with the visual and auditory information feedback module, and the visual and auditory information feedback module is connected with the magnetic resonance scanning imaging module; the magnetic resonance scanning imaging module comprises a magnetic resonance imaging scanning device and an image reconstruction workstation, the data control module comprises a main control machine, the real-time data processing module comprises a real-time processing workstation, and the visual and auditory information feedback module comprises a visual and auditory stimulation feedback device.
Further, the system comprises the following working steps: (1) the method comprises a rtfMRI imaging stage, (2) a regulation target construction and extraction stage, (3) a feedback information visualization stage and (4) a feedback and autonomic nerve regulation training stage.
Further, (1) rtfMRI imaging phase: performing brain function imaging based on an fMRI platform, acquiring brain function image data of a subject in real time, and performing real-time data preprocessing to ensure the reliability of imaging data;
(2) and (3) adjusting the construction and extraction stage of the target: according to the target cognitive function, a group of adjusted target brain areas or functional networks are defined, and brain activities are analyzed and extracted through fMRI real-time imaging data;
(3) a feedback information visualization stage: according to the purpose of cognitive function regulation, a feedback real-time calculation model is constructed, real-time brain activities are used as input, and information reflecting the current autonomous regulation effect of a subject is output to guide the study of the subject;
(4) feedback and autonomic neuromodulation training phases: the current value calculated by the neural feedback model is visually fed back to the subject in the form of images or sounds, and the subject is tried to adopt different adjusting strategies with the help of the feedback signal to gradually learn to selectively enhance or inhibit the feedback signal.
A biofeedback treatment method for improving insomnia based on functional magnetic resonance comprises the following steps:
A. baseline rs-fMRI: observing the brain activity in a resting state before training;
B. testing and training: subjects were acclimatized and familiar with the training protocol, each group for approximately 7 minutes; 1 group each time, 1 time per week, 3 weeks continuously;
C. and (3) performing on-line feedback training: after the test training is finished, 3 groups of on-line feedback training are carried out, each group lasts for about 7 minutes, 1 time per week and 3 weeks continuously, and the effect of the self-regulation training is improved; in the feedback training stage, a subject induces self-happy emotion through memory recall of a self-transmission body, and further the activity of amygdala is up-regulated; then, adjusting the strategy according to the feedback information, if the current strategy is invalid, replacing other memory segments prepared in advance, and up-regulating the amygdala activity as high as possible;
D. on-line no-feedback training: after each on-line feedback training is finished, 1 group of on-line no-feedback training is carried out, a subject up-regulates the activity of the amygdala according to the regulation strategy and method of on-line feedback training learning, and the regulation mode is on-line feedback training; each group was approximately 7 minutes, 1 time per week for 3 consecutive weeks, in preparation for off-line transfer training;
E. rs-fMRI after training: brain activity changes in resting state after neurofeedback training were observed compared to baseline.
The invention has the beneficial effects that:
1. improvement in patient insomnia, depression-related scale scores: PSQI, ISI, HAMD, HAMA, BDI, etc.;
2. the objective insomnia index of the patient is improved: sleep latency, number of awakenings, total sleep duration and the like;
3. no wound, no side effect and no dependence;
4. the patient does not rely on the invention to improve sleep in the later period of training, and the effect can be continuously maintained.
5. Compared with neural feedback based on electroencephalogram signals, rtfMRI-NF has higher spatial resolution and positioning accuracy, covers whole brain scanning, and can also be used for tracking activity changes of a plurality of brain areas and knowing functional connection among the brain areas and the condition of the whole brain network; compared with the traditional neuroimaging, the method has the advantages that the neuron activity of the cerebral cortex is changed from dependent variable to adjustable independent variable, so that the corresponding cognitive behavior change of a subject is researched.
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FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic representation of the assay method and steps of the present invention; .
Detailed Description
As shown in fig. 1 and fig. 2, the embodiment of the present invention is:
A. baseline rs-fMRI: observing the brain activity in a resting state before training;
B. testing and training: subjects were acclimatized and familiar with the training protocol, each group for approximately 7 minutes; 1 group each time, 1 time per week, 3 weeks continuously;
C. and (3) performing on-line feedback training: after the test training is finished, 3 groups of on-line feedback training are carried out, each group lasts for about 7 minutes, 1 time per week and 3 weeks continuously, and the effect of the self-regulation training is improved; in the feedback training stage, a subject induces self-happy emotion through memory recall of a self-transmission body, and further the activity of amygdala is up-regulated; then, adjusting the strategy according to the feedback information, if the current strategy is invalid, replacing other memory segments prepared in advance, and up-regulating the amygdala activity as high as possible;
D. on-line no-feedback training: after each on-line feedback training is finished, 1 group of on-line no-feedback training is carried out, a subject up-regulates the activity of the amygdala according to the regulation strategy and method of on-line feedback training learning, and the regulation mode is on-line feedback training; each group was approximately 7 minutes, 1 time per week for 3 consecutive weeks, in preparation for off-line transfer training;
E. rs-fMRI after training: comparing with the baseline, and observing the brain activity change in the resting state after the neural feedback training;
the test group feeds back a brain activity signal of amygdala (defined as a sphere with a Talairach space radius of 7mm, coordinates: -21, -5, -16) on the left side of the subject; requiring the subject to recall a happy memory to up-regulate the amygdala activity, and upon activation of the rise, a feedback signal to the subject is raised as indicated by a thermometer; when the activation drops, the thermometer drops.
The invention further optimizes the time resolution and imaging quality of rtfMRI-NF, reduces the negative influence of interference factors such as small head movement, physical and physiological noise on the brain function network research, builds a high-precision brain kernel group regulation and control system, and completes the transmission, processing and feedback presentation of the whole brain data within 2 seconds of the repetition time of a radio frequency pulse as shown in figure 1; recording the neural activity of the subject in real time through fMRI, and feeding the neural activity information back to the subject in real time, so that the subject can train and autonomously regulate by knowing the current neural activity; the invention is non-invasive, has no side effect and can not generate dependence.
Claims (4)
1. A biofeedback treatment method for improving insomnia based on functional magnetic resonance is characterized in that: the system comprises a magnetic resonance scanning imaging module, a data control module, a real-time data processing module and a visual and auditory information feedback module; the data control module is connected with the real-time data processing module, the real-time data processing module is connected with the visual and auditory information feedback module, and the visual and auditory information feedback module is connected with the magnetic resonance scanning imaging module; the magnetic resonance scanning imaging module comprises a magnetic resonance imaging scanning device and an image reconstruction workstation, the data control module comprises a main control machine, the real-time data processing module comprises a real-time processing workstation, and the visual and auditory information feedback module comprises a visual and auditory stimulation feedback device.
2. The biofeedback treatment method for improving insomnia based on functional magnetic resonance as claimed in claim 1, wherein: the working steps of the system comprise: (1) the method comprises a rtfMRI imaging stage, (2) a regulation target construction and extraction stage, (3) a feedback information visualization stage and (4) a feedback and autonomic nerve regulation training stage.
3. The biofeedback treatment method for improving insomnia based on functional magnetic resonance as claimed in claim 2, wherein: (1) rtfMRI imaging phase: performing brain function imaging based on an fMRI platform, acquiring brain function image data of a subject in real time, and performing real-time data preprocessing to ensure the reliability of imaging data;
(2) and (3) adjusting the construction and extraction stage of the target: according to the target cognitive function, a group of adjusted target brain areas or functional networks are defined, and brain activities are analyzed and extracted through fMRI real-time imaging data;
(3) a feedback information visualization stage: according to the purpose of cognitive function regulation, a feedback real-time calculation model is constructed, real-time brain activities are used as input, and information reflecting the current autonomous regulation effect of a subject is output to guide the study of the subject;
(4) feedback and autonomic neuromodulation training phases: the current value calculated by the neural feedback model is visually fed back to the subject in the form of images or sounds, and the subject is tried to adopt different adjusting strategies with the help of the feedback signal to gradually learn to selectively enhance or inhibit the feedback signal.
4. The biofeedback treatment method for improving insomnia based on functional magnetic resonance as claimed in claim 3, comprising the steps of:
A. baseline rs-fMRI: observing the brain activity in a resting state before training;
B. testing and training: subjects were acclimatized and familiar with the training protocol, each group for approximately 7 minutes; 1 group each time, 1 time per week, 3 weeks continuously;
C. and (3) performing on-line feedback training: after the test training is finished, 3 groups of on-line feedback training are carried out, each group lasts for about 7 minutes, 1 time per week and 3 weeks continuously, and the effect of the self-regulation training is improved; in the feedback training stage, a subject induces self-happy emotion through memory recall of a self-transmission body, and further the activity of amygdala is up-regulated; then, adjusting the strategy according to the feedback information, if the current strategy is invalid, replacing other memory segments prepared in advance, and up-regulating the amygdala activity as high as possible;
D. on-line no-feedback training: after each on-line feedback training is finished, 1 group of on-line no-feedback training is carried out, a subject up-regulates the activity of the amygdala according to the regulation strategy and method of on-line feedback training learning, and the regulation mode is on-line feedback training; each group was approximately 7 minutes, 1 time per week for 3 consecutive weeks, in preparation for off-line transfer training;
E. rs-fMRI after training: brain activity changes in resting state after neurofeedback training were observed compared to baseline.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113180693A (en) * | 2021-03-23 | 2021-07-30 | 深圳市人民医院 | Resting state electroencephalogram rTMS curative effect prediction and intervention closed-loop feedback diagnosis and treatment method |
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| CN101912255A (en) * | 2010-08-10 | 2010-12-15 | 北京师范大学 | Nervous feedback system based on real-time functional magnetic resonance signal |
| CN109567803A (en) * | 2018-12-18 | 2019-04-05 | 中国人民解放军战略支援部队信息工程大学 | Hippocampus self-control analysis method based on real-time neural feedback technology |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113180693A (en) * | 2021-03-23 | 2021-07-30 | 深圳市人民医院 | Resting state electroencephalogram rTMS curative effect prediction and intervention closed-loop feedback diagnosis and treatment method |
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