基于动态功能性脑网络的情感分析

人脑活动是在秒级与毫秒级动态变化的,因此采用静态连接方式构建的功能性脑网络,会造成部分与时间相关有效特征的缺失.该文旨在研究情绪变化期间不同大脑区域之间相互作用的时空变化,提出了一个系统的分析框架.该框架包括相关性度量,脑状态分割,代表性时间片段提取以及动态网络构建和分析.首先,利用皮尔逊相关系数量化不同脑区之间的功能...

Emotional Analysis Based on Dynamic Functional Brain Network

The human brain changes dynamically at the second and millisecond level, so the construction of functional brain network by static connection will cause the loss of some time-related effective features. The purpose of this paper is to study the temporal and spatial changes of the interaction between different brain regions during the emotional change, and to propose a systematic analysis framework. The framework includes correlation measurement, brain state segmentation, representative time segment extraction and dynamic network measurement. First of all, the functional connectivity between different brain regions is measured by correlation size. Secondly, the singular value decomposition(SVD) vector space distance between the correlation matrix of two adjacent time points is calculated, the emotional transition point is determined, and the time slice of non-stationary brain state is segmented to extract representative time segments. Finally, different network modes are constructed based on correlation mode and power distribution in frequency band. The dynamic correlation mode and power distribution change are estimated by sliding window method, and then the multivariable features of network level brain dynamics are extracted and classified. Relevant experiments on the SEED data set verify the feasibility of the emotional assessment method based on dynamic functional connection, and open up a new way for establishing brain dynamic models under different emotional states.