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White matter lesion loads associated with dynamic functional connectivity within attention network in patients with relapsing-remitting multiple sclerosis

Authors :
Bo Wang
Muhua Huang
Fangjun Li
Lin Wu
Fuqing Zhou
Linghong Guo
Yanlin Zhao
Honghan Gong
Hui Wan
Xianjun Zeng
Source :
Journal of Clinical Neuroscience. 65:59-65
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

Using time-variant of blood oxygenation level dependent (BOLD) signal to investigate the temporal changes in functional connectivity (FC) between key nodes may shed light on the dynamic characteristics of network. Twenty-two relapsing-remitting multiple sclerosis (RRMS) and 22 well-matched healthy control subjects (HCs) participated in this study. Previously validated key nodes of attention network seeds were defined as spherical regions of interests (ROIs); then, we captured the pattern of dFC using sliding window correlation of ROIs in the RRMS and HCs during rest. Furthermore, correlation analysis between altered dFC of paired-ROIs with clinical measures in RRMS were performed. Compared with the HCs, the RRMS showed: a certain specificity transient pattern of FC of attention network at time window levels, including decreased dFC within dorsal attention network [connections of left intraparietal sulcus (LIPS)-right intraparietal sulcus (RIPS), LIPS-right frontal eye field (RFEF) and left frontal eye field (LFEF)-RIPS] and ventral attention network [connection of right ventral frontal cortex (RVFC)-right temporal parietal junction (RTPJ)], increased dFC between dorsal and ventral attention network (connections of LIPS-RTPJ and LIPS-RVFC). Secondary analysis indicated that the dFC coefficients of the connections of LIPS-RIPS (r = −0.467, P = 0.023) and RVFC-RTPJ (r = −0.452, P = 0.043) were significant negative correlated with the total white matter lesion load. In conclusion, we found that the instantaneous configuration pattern of FC in attention network of RRMS are relate to lesions loads.

Details

ISSN :
09675868
Volume :
65
Database :
OpenAIRE
Journal :
Journal of Clinical Neuroscience
Accession number :
edsair.doi.dedup.....c2d9c6d6136b3a45286e575d0fd547cd