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Aberrant brain functional hubs and causal connectivity in presbycusis.

Authors :
Xing, Chunhua
Chen, Yu-Chen
Tong, Zhaopeng
Xu, Wenchao
Xu, Jin-Jing
Yin, Xindao
Wu, Yuanqing
Cai, Yuexin
Source :
Brain Imaging & Behavior; 2021, Vol. 15 Issue 1, p453-463, 11p
Publication Year :
2021

Abstract

To investigate resting-state connectivity and further understand directional aspects of implicit alterations in presbycusis patients, we used degree centrality (DC) and Granger causality analysis (GCA) to detect functional hubs of the whole-brain network and then analyze directional connectivity. Resting-state functional magnetic resonance imaging (fMRI) scans were performed on 40 presbycusis patients and 40 healthy controls matched for age, gender, and education. We used DC analysis and GCA to characterize abnormal brain networks in presbycusis patients. The associations of network centrality and directed functional connectivity (FC) with clinical measures of presbycusis were also examined according to the above results. We found that the network centrality of left frontal middle gyrus (MFG) was significantly lower than that of healthy control group. Unidirectionally, the left MFG revealed increased directional connectivity to the left superior frontal gyrus (SFG), while the left MFG exhibited decreased directional connectivity to the left middle temporal gyrus (MTG) and right lingual gyrus (LinG). And the decreased directional connectivity was found from the left precentral gyrus (PrCG) to the left MFG. In addition, the Trail-Making Test B (TMT-B) score was negatively correlated with the decreased DC of the left MFG (r = −0.359, p = 0.032). Resting-state fMRI provides a novel method for identifying aberrant brain network architecture. These results primarily indicate altered functional hubs and abnormal frontal lobe connectivity patterns that may further reflect executive dysfunction in patients with presbycusis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19317557
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
Brain Imaging & Behavior
Publication Type :
Academic Journal
Accession number :
148318933
Full Text :
https://doi.org/10.1007/s11682-020-00386-4