EEG-FCV: An EEG-Based Functional Connectivity Visualization Framework for Cognitive State Evaluation

Hong Zeng; Yanping Jin; Qi Wu; Deng Pan; Feifan Xu; Yue Zhao; Hua Hu; Wanzeng Kong

doi:10.3389/fpsyt.2022.928781

EEG-FCV: An EEG-Based Functional Connectivity Visualization Framework for Cognitive State Evaluation

Front Psychiatry. 2022 Jul 11:13:928781. doi: 10.3389/fpsyt.2022.928781. eCollection 2022.

Authors

Hong Zeng^{1

2}, Yanping Jin¹, Qi Wu¹, Deng Pan¹, Feifan Xu¹, Yue Zhao¹, Hua Hu³, Wanzeng Kong^{1

2}

Affiliations

¹ College of Computer and Technology, Hangzhou Dianzi University, Hangzhou, China.
² Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province, Hangzhou Dianzi University, Hangzhou, China.
³ School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China.

Abstract

Electroencephalogram (EEG)-based tools for brain functional connectivity (FC) analysis and visualization play an important role in evaluating brain cognitive function. However, existing similar FC analysis tools are not only visualized in 2 dimensions (2D) but also are highly prone to cause visual clutter and unable to dynamically reflect brain connectivity changes over time. Therefore, we design and implement an EEG-based FC visualization framework in this study, named EEG-FCV, for brain cognitive state evaluation. EEG-FCV is composed of three parts: the Data Processing module, Connectivity Analysis module, and Visualization module. Specially, FC is visualized in 3 dimensions (3D) by introducing three existing metrics: Pearson Correlation Coefficient (PCC), Coherence, and PLV. Furthermore, a novel metric named Comprehensive is proposed to solve the problem of visual clutter. EEG-FCV can also visualize dynamically brain FC changes over time. Experimental results on two available datasets show that EEG-FCV has not only results consistent with existing related studies on brain FC but also can reflect dynamically brain FC changes over time. We believe EEG-FCV could prompt further progress in brain cognitive function evaluation.

Keywords: Comprehensive; EEG; brain cognitive function; functional connectivity; visualization.