Altered resting-state network connectivity patterns for predicting attentional function in deaf individuals: An EEG study

被引:3
|
作者
Ma, Hai-Lin [1 ,3 ]
Zeng, Tong-Ao [2 ,3 ]
Jiang, Lin [4 ]
Zhang, Mei [5 ]
Li, Hao [2 ,3 ]
Su, Rui [2 ,3 ]
Wang, Zhi-Xin [2 ,3 ,6 ]
Chen, Dong-Mei [2 ,3 ]
Xu, Meng [2 ,3 ]
Xie, Wen-Ting [2 ,3 ]
Dang, Peng [2 ,3 ]
Bu, Xiao-Ou [2 ,3 ,7 ]
Zhang, Tao [8 ,9 ]
Wang, Ting-Zhao [1 ]
机构
[1] Shaanxi Normal Univ, Fac Educ, 199 Changan Rd, Xian 710062, Shaanxi, Peoples R China
[2] Tibet Univ, Plateau Brain Sci Res Ctr, Lhasa 510631, Peoples R China
[3] South China Normal Univ, Guangzhou 850012, Peoples R China
[4] Univ Elect Sci & Technol China, Ctr Informat Biomed, Sch Life Sci & Technol, Chengdu 611731, Peoples R China
[5] Leshan Normal Univ, Coll Special Educ, Leshan 614000, Peoples R China
[6] Shandong Normal Univ, Dept Psychol, 88 East Wenhua Rd, Jinan 250014, Shandong, Peoples R China
[7] East China Normal Univ, Fac Educ, Shanghai 200062, Peoples R China
[8] Xihua Univ, Mental Hlth Educ Ctr, Chengdu 610039, Peoples R China
[9] Xihua Univ, Sch Sci, Chengdu 610039, Peoples R China
基金
中国国家自然科学基金;
关键词
Deafness; Attention networks; EEG; Brain network; CROSS-MODAL PLASTICITY; CONGENITALLY DEAF; VISUAL-ATTENTION; WORKING-MEMORY; AGE; LANGUAGE; REORGANIZATION; PERFORMANCE; ACTIVATION; CHILDREN;
D O I
10.1016/j.heares.2023.108696
中图分类号
R36 [病理学]; R76 [耳鼻咽喉科学];
学科分类号
100104 ; 100213 ;
摘要
Multiple aspects of brain development are influenced by early sensory loss such as deafness. Despite growing evidence of changes in attentional functions for prelingual profoundly deaf, the brain mecha-nisms underlying these attentional changes remain unclear. This study investigated the relationships be-tween differential attention and the resting-state brain network difference in deaf individuals from the perspective of brain network connectivity. We recruited 36 deaf individuals and 34 healthy controls (HC). We recorded each participant's resting-state electroencephalogram (EEG) and the event-related potential (ERP) data from the Attention Network Test (ANT). The coherence (COH) method and graph theory were used to build brain networks and analyze network connectivity. First, the ERPs of analysis in task states were investigated. Then, we correlated the topological properties of the network functional connectivity with the ERPs. The results revealed a significant correlation between frontal-occipital connection in the resting state and the amplitude of alert N1 amplitude in the alpha band. Specifically, clustering coeffi-cients and global and local efficiency correlate negatively with alert N1 amplitude, whereas the charac-teristic path length positively correlates with alert N1 amplitude. In addition, deaf individuals exhibited weaker frontal-occipital connections compared to the HC group. In executive control, the deaf group had longer reaction times and larger P3 amplitudes. However, the orienting function did not significantly dif -fer from the HC group. Finally, the alert N1 amplitude in the ANT task for deaf individuals was predicted using a multiple linear regression model based on resting-state EEG network properties. Our results sug -gest that deafness affects the performance of alerting and executive control while orienting functions develop similarly to hearing individuals. Furthermore, weakened frontal-occipital connections in the deaf brain are a fundamental cause of altered alerting functions in the deaf. These results reveal important effects of brain networks on attentional function from the perspective of brain connections and provide potential physiological biomarkers to predicting attention.(c) 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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页数:11
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