Open AccessDynamic visual cortical connectivity analysis based on functional magnetic resonance imaging
Author(s) -
Zhao Le,
Zeng Weiming,
Shi Yuhu,
Nie Weifang,
Yang Jiajun
Publication year - 2020
Publication title -
brain and behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.915
H-Index - 41
ISSN - 2162-3279
DOI - 10.1002/brb3.1698
Subject(s) - functional magnetic resonance imaging , visual cortex , dynamic functional connectivity , resting state fmri , computer science , human brain , cortex (anatomy) , neuroscience , sliding window protocol , functional connectivity , consistency (knowledge bases) , artificial intelligence , psychology , pattern recognition (psychology) , window (computing) , operating system
Background Studies of brain functional connectivity (FC) and effective connectivity (EC) using the functional magnetic resonance imaging (fMRI) have advanced our understanding of functional organization on visual cortex of human brain. The current studies mainly focus on static or dynamic connectivity, while the relationships between them have not been well characterized especially for static EC (sEC) and dynamic EC (dEC), as well as the consistency characteristics of changing trend of dFCs and dECs, which is of great importance to reveal the neural information processing mechanism in visual cortex region. Method In this study, we explore these relationships among several subareas of human visual cortex (V1–V5) by calculating the connection intensity and information flow among them over time by sliding window method, which are defined by Pearson correlation coefficient and Granger causality analysis, respectively, in each window. Results The results demonstrate that there are extensive connections existing in human visual network, which are time‐varying both in resting and task‐related states. sFC intensity is negatively correlated with the variance of dFC, while sEC intensity is positively correlated with the variance of dEC. Furthermore, we also find that dFC within visual cortex at rest shows more consistency, while dEC shows less compared with task state in changing trend. Conclusion Therefore, this study provides novel findings about dynamics of connectivity in human visual cortex from the perspective of functional and effective connectivity.