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动态网络分析揭示了中风后大脑区域时间变异性的改变:一项纵向静息态 fMRI 研究。

Dynamic Network Analysis Reveals Altered Temporal Variability in Brain Regions after Stroke: A Longitudinal Resting-State fMRI Study.

机构信息

Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Department of Medical Imaging, Jinling Hospital, Nanjing Clinical School, Southern Medical University, Nanjing, China.

出版信息

Neural Plast. 2018 Apr 5;2018:9394156. doi: 10.1155/2018/9394156. eCollection 2018.

DOI:10.1155/2018/9394156
PMID:29849574
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5907391/
Abstract

Recent fMRI studies have demonstrated that resting-state functional connectivity (FC) is of nonstationarity. Temporal variability of FC reflects the dynamic nature of brain activity. Exploring temporal variability of FC offers a new approach to investigate reorganization and integration of brain networks after stroke. Here, we examined longitudinal alterations of FC temporal variability in brain networks after stroke. Nineteen stroke patients underwent resting fMRI scans across the acute stage (within-one-week after stroke), subacute stage (within-two-weeks after stroke), and early chronic stage (3-4 months after stroke). Nineteen age- and sex-matched healthy individuals were enrolled. Compared with the controls, stroke patients exhibited reduced regional temporal variability during the acute stages, which was recovered at the following two stages. Compared with the acute stage, the subacute stage exhibited increased temporal variability in the primary motor, auditory, and visual cortices. Across the three stages, the temporal variability in the ipsilesional precentral gyrus (PreCG) was increased first and then reduced. Increased temporal variability in the ipsilesional PreCG from the acute stage to the subacute stage was correlated with motor recovery from the acute stage to the early chronic stage. Our results demonstrated that temporal variability of brain network might be a potential tool for evaluating and predicting motor recovery after stroke.

摘要

最近的功能磁共振成像(fMRI)研究表明,静息态功能连接(FC)是非平稳的。FC 的时变反映了大脑活动的动态性质。探索 FC 的时变可以为研究中风后大脑网络的重组和整合提供一种新方法。在这里,我们研究了中风后大脑网络 FC 时变的纵向变化。19 名中风患者在急性期(中风后一周内)、亚急性期(中风后两周内)和早期慢性期(中风后 3-4 个月)进行了静息态 fMRI 扫描。19 名年龄和性别匹配的健康个体被纳入。与对照组相比,中风患者在急性期表现出局部时变减少,在随后的两个阶段得到恢复。与急性期相比,亚急性期初级运动、听觉和视觉皮层的时变增加。在三个阶段中,对侧中央前回(PreCG)的时变首先增加,然后减少。从急性期到亚急性期,对侧 PreCG 的时变增加与从急性期到早期慢性期的运动恢复相关。我们的结果表明,大脑网络的时变可能是评估和预测中风后运动恢复的潜在工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/801e/5907391/f6a167fa07dc/NP2018-9394156.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/801e/5907391/f1c54a41b8fe/NP2018-9394156.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/801e/5907391/36be3d8365c6/NP2018-9394156.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/801e/5907391/c7ca862b7f03/NP2018-9394156.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/801e/5907391/a4543d90775c/NP2018-9394156.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/801e/5907391/f6a167fa07dc/NP2018-9394156.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/801e/5907391/f1c54a41b8fe/NP2018-9394156.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/801e/5907391/36be3d8365c6/NP2018-9394156.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/801e/5907391/c7ca862b7f03/NP2018-9394156.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/801e/5907391/a4543d90775c/NP2018-9394156.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/801e/5907391/f6a167fa07dc/NP2018-9394156.005.jpg

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