Multiple overlapping dynamic patterns of the visual sensory network in schizophrenia
Multiple overlapping dynamic patterns of the visual sensory network in schizophrenia
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DOI：
10.1016/j.schres.2020.11.055
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发表时间：
2021-01-09
影响因子：
4.5
通讯作者：
Calhoun, Vince D.
中科院分区：
文献类型：
--
作者：
Sendi, Mohammad S. E.;Pearlson, Godfrey D.;Calhoun, Vince D.
虽然精神分裂症（SZ）的视觉加工障碍已被探索，其潜在的视觉加工障碍的神经生物学尚未得到广泛的研究。此外，虽然一些研究已经暗示在SZ的信息传递和流动的差异，有一些调查的视觉网络内的功能连接的动态。在这项研究中，我们分析了160名健康对照组（HC）和151名SZ受试者的视觉感觉网络（VSN）的静息态fMRI数据。我们估计了VSN中的9个独立分量。然后，我们使用Pearson相关性计算动态功能网络连接性（dFNC）。接下来，使用k均值聚类，我们将dFNC划分为五个不同的状态，然后计算每个受试者在每个状态下花费的时间部分，我们称之为占用率（OCR）。使用OCR，我们比较了HC与SZ科目，并探讨了OCR和视觉学习SZ科目之间的联系。此外，我们比较了SZ和HC受试者在每个状态下的VSN功能连接。我们发现这个网络确实是高度动态的。每个状态代表VSN FNC波动的独特连接模式，并且所有状态都在SZ中显示出显著的中断。总体而言，HC在各州的VSN内显示出更强的连通性。SZ受试者在颞中回与VNS其他区域之间的连接高度负性的状态下花费更多时间。此外，在颞中回与其他区域之间存在强正连接的状态下，SZ的OCR与视觉学习成绩显著相关。(C)2020 Elsevier B.V.保留所有权利。
Although visual processing impairments have been explored in schizophrenia (SZ), their underlying neurobiology of the visual processing impairments has not been widely studied. Also, while some research has hinted at differences in information transfer and flow in SZ, there are few investigations of the dynamics of functional connectivity within visual networks. In this study, we analyzed resting-state fMRI data of the visual sensory network (VSN) in 160 healthy control (HC) subjects and 151 SZ subjects. We estimated 9 independent components within the VSN. Then, we calculated the dynamic functional network connectivity (dFNC) using the Pearson correlation. Next, using k-means clustering, we partitioned the dFNCs into five distinct states, and then we calculated the portion of time each subject spent in each state, which we termed the occupancy rate (OCR). Using OCR, we compared HC with SZ subjects and investigated the link between OCR and visual learning in SZ subjects. Besides, we compared the VSN functional connectivity of SZ and HC subjects in each state. We found that this network is indeed highly dynamic. Each state represents a unique connectivity pattern of fluctuations in VSN FNC, and all states showed significant disruption in SZ. Overall, HC showed stronger connectivity within the VSN in states. SZ subjects spent more time in a state in which the connectivity between the middle temporal gyrus and other regions of VNS is highly negative. Besides, OCR in a state with strong positive connectivity between the middle temporal gyrus and other regions correlated significantly with visual learning scores in SZ. (C) 2020 Elsevier B.V. All rights reserved.