CN104361203A - Social emotion competency evaluation system based on brain network time-space dynamics analysis - Google Patents
Social emotion competency evaluation system based on brain network time-space dynamics analysis Download PDFInfo
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Abstract
The invention discloses a social emotion competency evaluation system based on the brain network time-space dynamics analysis. The social emotion competency evaluation system comprises a stimulus presentation system, a brain image data collection device and a data analysis system, the brain image data collection device starts to send a control command to start the stimulus presentation system after being worn by a user, the brain image data collection device records the brain image data of the user synchronously and transfers the brain image data to the data analysis system, and the data analysis system analyzes the brain image data in the pattern of network time-space dynamics, obtains an analysis result, and estimates the social emotion competency of the user through the analysis result. The social emotion competency evaluation system overcomes the defects of the behavior methodology adopted by the prior social emotion competency evaluation technology, utilizes the major advantages of the brain network analysis in neuromechanism researches, and extracts the key brain image time-space characteristic indexes for social emotion competency evaluation from the brand new perspective of the non-linear network time-space dynamics, so that the evaluation results are more objective and reliable.
Description
Technical field
The present invention relates to brain image field, be specifically related to a kind of social mood ability evaluating system analyzed based on brain network Time-Space Kinetics.
Background technology
Society's mood ability specifically comprises correctly to be evaluated oneself, the mood of regulation and control oneself, encourages oneself, understands others' emotion and be good at processing the ability of these five aspects of interpersonal relation.Lot of domestic and foreign famous educational research mechanism and scholar all show: good social mood ability is the following talent prerequisite key quality of institute and ability; And bad social mood ability is by the suicide causing the emotional handicap such as Impulsive attack and violence aggressive behavior, depression, anxiety and obsession and cause thus.Society's mood ability has the function regulating social action, and it is not only to single individuality, also usually produce wide influence to the social groups residing for individuality.Therefore to the evaluation and test of social mood ability, there is very important theory value and using value.Brain is the biological basis that cognition, emotion and motivation produce, and the social mood ability evaluation and test tool therefore carried out based on brain network analysis is of great significance.
The existing technology for the evaluation and test of social mood ability is mainly limited to investigation to some behaviors and observation both at home and abroad.The subjectivity impact of these behaviouristics method respondents is very large, and ignores the difference between individuality, evaluates and tests inaccurate.
The nerve information technology of develop rapidly is in recent years that the evaluation and test problem that we studied and solved social mood ability provides new visual angle and new opportunity.Brain network research particularly based on brain image (as: EEG, MEG, fMRI, NIRS etc.) is the means that human brain provides Noninvasive, has become basic tool and means that people study cranial nerve mechanism at present.Although achieved some great progress when forebrain network research, but still there is following many problem demanding prompt solutions: the rule that in (1) internuncial definition of brain function at present and computing method, the selection of threshold value is also ununified; (2) there is multiple different brain function simultaneously and connect computing method, still to lack at present and how to evaluate different nodes and limit define method to the impact of brain function network and determine the most rational define method; (3) current most of brain network research concentrates on Undirected networks, but have ignored very important directional information in brain structure and brain function network; (4) functional activity of brain is a dynamic process, and current functional network research can only portray the topological property of brain function activity in certain time period; (5) current brain network research mainly for be to tranquillization state cerebral function network, for brain, the network structure when carrying out various higher cognitive and being movable but knows little about it.
Evaluate and test the deficiency of the behaviouristics method that technology adopts for existing social mood ability and make use of the considerable advantage of brain network analysis in neuromechanism research, the present invention proposes a kind of social mood capabilities method analyzed based on brain network Time-Space Kinetics.Outstanding feature of the present invention and progress are: using brain network as oriented dynamic network (its topological structure changes in time), from nonlinear kinetics and the brand-new angle analysis such as brain is network-evaluated and the dynamics spatiotemporal mode quantizing brain network, extract the crucial space-time characteristic index of the social mood ability of reflection on this basis.
Summary of the invention
Goal of the invention: the object of the invention is to solve deficiency of the prior art, utilize the considerable advantage of brain network analysis in neuromechanism research, a kind of social mood ability evaluating system analyzed based on brain network Time-Space Kinetics is provided, the present invention can using brain network as oriented dynamic network (its topological structure changes in time), from nonlinear kinetics and the brand-new angle analysis such as brain is network-evaluated and the dynamics spatiotemporal mode quantizing brain network, extract the crucial space-time characteristic index of the social mood ability of reflection on this basis.
Technical scheme: a kind of social mood ability evaluating system analyzed based on brain network Time-Space Kinetics of the present invention, it is characterized in that: comprise stimulation and present system, brain image acquisitions device and data analysis system, after described brain image acquisitions device is worn by the user, start to send control command startup stimulation and present system, and the brain image data of synchronous recording user is transferred to data analysis system, described data analysis system carries out the analysis of network Time-Space Kinetics pattern to this brain image data and obtains analysis result, and the social mood ability of this user is estimated by this analysis result.
Further, described stimulation presents the test environment needed for the mood ability evaluation and test of system building society, and user can excite the nervous activity of expectation in described test environment.
Further, described test environment adopts virtual reality technology constructing virtual society scene, promotes the ecological property of test.
Further, described brain image data be eeg data, any one or any two kinds of multi-modal image datas be combined to form in Near-infrared Brain performance data, functional magnetic resonance imaging data and magneticencephalogram data.
Further, brain network as oriented dynamic network, is analyzed the brain image data sequence that brain image acquisitions device obtains by described data analysis system from Time-Space Kinetics Evolution Modes process visual angle.
Beneficial effect: compared with prior art, the present invention has the following advantages:
(1) the present invention is based on brain image technology to evaluate and test social mood, evaluation result be more objective than prior art (i.e. behavior investigation and observation), reliability better effects if.
(2) the present invention establishes the Nonlinear Dynamic Network model that brain image time series data drives, study network Time-Space Kinetics pattern analysis method on this basis, oriented dynamic network level establishes physiology and the brain image index of the evaluation and test of social mood ability.
(3) the present invention can promote for the early diagnosis to social mood impairment, Index for diagnosis and intervention Effects Evaluation, applied widely.
(4) the present invention may be used for the foundation of Children in China society mood ability development database, disclose the universal law of Children in China society mood ability development on this basis, the education system being suitable for Children in China society mood develop one's abilities for research provides technical tool and real example basis.
Accompanying drawing explanation
Fig. 1 is composition frame diagram of the present invention.
Embodiment
Below technical solution of the present invention is described in detail by reference to the accompanying drawings.
As shown in Figure 1, a kind of social mood ability evaluating system analyzed based on brain network Time-Space Kinetics of the present invention, comprise stimulation and present system, brain image acquisitions device and data analysis system, after described brain image acquisitions device is worn by the user, start to send control command startup stimulation and present system, and the brain image data of synchronous recording user is transferred to data analysis system, described data analysis system carries out the analysis of network Time-Space Kinetics pattern to this brain image data and obtains analysis result, and the social mood ability of this user is estimated by this analysis result.
In the present embodiment, described stimulation presents the test environment needed for the mood ability evaluation and test of system building society, and user can excite the nervous activity of expectation in described test environment; And this test environment adopts virtual reality technology constructing virtual society scene, promote the ecological property of test.
In the present embodiment, described brain image data is eeg data, any one or any two kinds of multi-modal image datas be combined to form in Near-infrared Brain performance data, functional magnetic resonance imaging data and magneticencephalogram data.
Brain network as oriented dynamic network, is analyzed the brain image data sequence that brain image acquisitions device obtains by above-mentioned data analysis system from Time-Space Kinetics Evolution Modes process visual angle.
Concrete using method of the present invention is as follows:
A, wear data collector: user wears upper brain image acquisitions device according to certain rule (10/20 standard as brain electricity), and guarantee that brain image acquisitions device normally works according to the debugging of certain testing standard;
B, stimulation present: stimulate and present system employing virtual reality technology constructing virtual society scene, build the test environment needed for the evaluation and test of social mood ability, in test environment, user excites the nervous activity of expectation;
C, brain image data obtain: the brain image data of brain image acquisitions device real time record user;
D, data analysis: first process the brain image data sequence that brain image acquisitions device obtains from Time-Space Kinetics Evolution Modes process visual angle, then set up multi-level, dynamically, the checking system of cause and effect and nonlinear computation model and applicability thereof, and then the dynamic rule of particular social scene hypencephalon network spatiotemporal mode can be studied, realize the estimation to social mood ability on this basis.
Claims (5)
1. the social mood ability evaluating system analyzed based on brain network Time-Space Kinetics, it is characterized in that: comprise stimulation and present system, brain image acquisitions device and data analysis system, after described brain image acquisitions device is worn by the user, start to send control command startup stimulation and present system, and the brain image data of synchronous recording user is transferred to data analysis system, described data analysis system carries out the analysis of network Time-Space Kinetics pattern to this brain image data and obtains analysis result, and the social mood ability of this user is estimated by this analysis result.
2. the social mood ability evaluating system analyzed based on brain network Time-Space Kinetics according to claim 1, is characterized in that: the user of being convenient to that described stimulation presents needed for the mood ability evaluation and test of system building society excites the neururgic test environment of expectation.
3. the social mood ability evaluating system analyzed based on brain network Time-Space Kinetics according to claim 2, is characterized in that: described test environment adopts virtual reality technology construction can improve the virtual society scene of test ecological property.
4. the social mood ability evaluating system analyzed based on brain network Time-Space Kinetics according to claim 1, is characterized in that: described brain image data is eeg data, any one or any two kinds of multi-modal image datas be combined to form in Near-infrared Brain performance data, functional magnetic resonance imaging data and magneticencephalogram data.
5. the social mood ability evaluating system analyzed based on brain network Time-Space Kinetics according to claim 1, it is characterized in that: brain network as oriented dynamic network, is analyzed the brain image data sequence that brain image acquisitions device obtains by described data analysis system from Time-Space Kinetics Evolution Modes process visual angle.
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| CN110192860A (en) * | 2019-05-06 | 2019-09-03 | 复旦大学 | A kind of the Brian Imaging intelligent test analyzing method and system of network-oriented information cognition |
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| CN111543949A (en) * | 2020-05-13 | 2020-08-18 | 北京航空航天大学 | Child ASD diagnosis device based on magnetoencephalogram and electroencephalogram |
| CN112826507A (en) * | 2021-01-07 | 2021-05-25 | 华中科技大学同济医学院附属协和医院 | Brain function network evolution modeling method for sensorineural deafness |
| CN113205885A (en) * | 2021-02-08 | 2021-08-03 | 中国科学院心理研究所 | Interpersonal relationship quality assessment and intervention method and system for group based on go/no-go test task |
| CN109363671B (en) * | 2018-10-30 | 2021-10-01 | 中国人民解放军战略支援部队信息工程大学 | Construction method of emotion dynamic brain network diagram based on SSVEP and ERP fusion |
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| CN105893780A (en) * | 2016-05-10 | 2016-08-24 | 华南理工大学 | Mental and psychological assessment method based on VR interaction and brain wave and cerebral blood flow monitoring |
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| CN109363671B (en) * | 2018-10-30 | 2021-10-01 | 中国人民解放军战略支援部队信息工程大学 | Construction method of emotion dynamic brain network diagram based on SSVEP and ERP fusion |
| CN110192860A (en) * | 2019-05-06 | 2019-09-03 | 复旦大学 | A kind of the Brian Imaging intelligent test analyzing method and system of network-oriented information cognition |
| CN110192860B (en) * | 2019-05-06 | 2022-10-11 | 复旦大学 | Brain imaging intelligent test analysis method and system for network information cognition |
| CN110600127A (en) * | 2019-09-23 | 2019-12-20 | 上海市精神卫生中心（上海市心理咨询培训中心） | Video acquisition and analysis system and method for realizing cognitive disorder screening function by video excitation of facial expressions |
| CN111543949A (en) * | 2020-05-13 | 2020-08-18 | 北京航空航天大学 | Child ASD diagnosis device based on magnetoencephalogram and electroencephalogram |
| CN111543949B (en) * | 2020-05-13 | 2021-09-10 | 北京航空航天大学 | Child ASD diagnosis device based on magnetoencephalogram and electroencephalogram |
| CN112826507A (en) * | 2021-01-07 | 2021-05-25 | 华中科技大学同济医学院附属协和医院 | Brain function network evolution modeling method for sensorineural deafness |
| CN113205885A (en) * | 2021-02-08 | 2021-08-03 | 中国科学院心理研究所 | Interpersonal relationship quality assessment and intervention method and system for group based on go/no-go test task |
| CN113205885B (en) * | 2021-02-08 | 2023-06-16 | 中国科学院心理研究所 | Inter-group interpersonal relationship quality assessment and intervention method and system based on go/no-go test task |
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