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1.
Journal of Biomedical Engineering ; (6): 257-266, 2022.
Article in Chinese | WPRIM | ID: wpr-928221

ABSTRACT

The research shows that personality assessment can be achieved by regression model based on electroencephalogram (EEG). Most of existing researches use event-related potential or power spectral density for personality assessment, which can only represent the brain information of a single region. But some research shows that human cognition is more dependent on the interaction of brain regions. In addition, due to the distribution difference of EEG features among subjects, the trained regression model can not get accurate results of cross subject personality assessment. In order to solve the problem, this research proposes a personality assessment method based on EEG functional connectivity and domain adaption. This research collected EEG data from 45 normal people under different emotional pictures (positive, negative and neutral). Firstly, the coherence of 59 channels in 5 frequency bands was taken as the original feature set. Then the feature-based domain adaptation was used to map the feature to a new feature space. It can reduce the distribution difference between training and test set in the new feature space, so as to reduce the distribution difference between subjects. Finally, the support vector regression model was trained and tested based on the transformed feature set by leave-one-out cross-validation. What's more, this paper compared the methods used in previous researches. The results showed that the method proposed in this paper improved the performance of regression model and obtained better personality assessment results. This research provides a new method for personality assessment.


Subject(s)
Humans , Algorithms , Brain , Electroencephalography/methods , Emotions , Personality Assessment
2.
Chinese Journal of Behavioral Medicine and Brain Science ; (12): 89-94, 2020.
Article in Chinese | WPRIM | ID: wpr-867011

ABSTRACT

Schizophrenia is a kind of neurodevelopmental brain disease with genetic background.Cognitive impairment has always been concerned as the core symptom of schizophrenia, and genetic factors play an important role in the cognitive impairment process of schizophrenia.This paper intends to explore the relationship between various neurotransmitter systems and neurodevelopmental related genes and cognitive impairment in schizophrenia. With " schizophrenia" " cognitive" and " genetic" " dopamine" " glutamate" " serotonin" " norepinephrine" " acetylcholine" " neurodevelopmental" " genome-wide association studies" as key words, the author searched the English and Chinese literatures published from January 2001 to October 2019 in several databases, such as Pubmed, ScienceDirect, CNKI academic journal database, Wanfang academic journal database, and selected the literature that was in line with the review topic after a large number of readings.Meanwhile, the author applied the literature tracing method to search the references of the literature that had been reviewed. Finally, 29 related literatures were included, and it was found that cognitive impairment in schizophrenia is related to multiple neurotransmitter system genes and neurodevelopmental genes, and these genes have different mechanisms of action in the process of cognitive impairment. The occurrence and development of cognitive impairment in schizophrenia involve multiple gene effects. The genetic study of neurotransmitter system and neurodevelopmental level is helpful to explore the pathological mechanism of cognitive impairment in schizophrenia.Future research should focus on how the pathogenesis/candidate genes of schizophrenia affect the neurotransmitter system and neurodevelopmental circuits, and further elucidate the mechanism of genetic factors in the development of cognitive impairment in schizophrenia.

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