Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China.
Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China; Guangyuan Mental Health Center, Guangyuan, China.
Prog Neuropsychopharmacol Biol Psychiatry. 2022 Jan 10;112:110426. doi: 10.1016/j.pnpbp.2021.110426. Epub 2021 Aug 11.
The latest studies have considered the time-dependent structures in dynamic brain networks. However, the effect of periphery structures on the temporal flow of information remains unexplored in patients with major depressive disorder (MDD). In this work, we aimed to explore the pattern of interactions between brain regions in MDD across space and time.
We concentrated on the temporal reachability of nodes in temporal brain networks derived from the resting-state functional magnetic resonance imaging (rs-fMRI) of 55 MDD patients and 62 sex-, age-matched healthy controls. Specifically, temporal connectedness and temporal efficiency (TEF) were estimated based on the length of temporal paths between node pairs. Subsequently, the temporal clustering coefficient (TCC) and temporal distance were jointly employed to explore the patterns in which a node's periphery structure affects its reachability.
Significantly higher TEF and lower TCC were found in temporal brain networks in MDD. Besides, significant between-group differences of nodal TCC were detected in regions of sensory perception systems. Considering the temporal paths that begin or end at these regions, MDD patients showed several altered temporal distances.
Our results showed that the temporal reachability of specific brain regions in MDD could be affected as their periphery structures evolve, which may explain the dysfunction of sensory perception systems in the spatiotemporal domain.
最新的研究已经考虑了动态脑网络中的时变结构。然而，在重度抑郁症（MDD）患者中，外周结构对信息时间流的影响仍未得到探索。在这项工作中，我们旨在探索 MDD 患者脑区之间在空间和时间上的相互作用模式。
我们专注于从 55 名 MDD 患者和 62 名性别、年龄匹配的健康对照者的静息态功能磁共振成像（rs-fMRI）中提取的时间脑网络中节点的时间可达性。具体来说，根据节点对之间的时间路径的长度来估计时间连通性和时间效率（TEF）。随后，联合使用时间聚类系数（TCC）和时间距离来探索节点的外围结构如何影响其可达性的模式。
在 MDD 患者的时间脑网络中，TEF 明显较高，TCC 明显较低。此外，在感觉感知系统区域的节点 TCC 中检测到了显著的组间差异。考虑到始于或终于这些区域的时间路径，MDD 患者的几个时间距离发生了改变。
我们的结果表明，MDD 患者特定脑区的时间可达性可能会受到其外围结构变化的影响，这可能解释了感觉感知系统在时空域中的功能障碍。
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