Altered static and dynamic functional network connectivity in post-stroke cognitive impairment

Xipeng Yue; Ziqiang Li; Ying Li; Jiahuan Gao; Hui Han; Ge Zhang; Xiaochen Li; Yu Shen; Wei Wei; Yan Bai; Jiapei Xie; Zhi Luo; Xianchang Zhang; Meiyun Wang

doi:10.1016/j.neulet.2023.137097

Altered static and dynamic functional network connectivity in post-stroke cognitive impairment

Neurosci Lett. 2023 Mar 16:799:137097. doi: 10.1016/j.neulet.2023.137097. Epub 2023 Jan 27.

Authors

Xipeng Yue¹, Ziqiang Li², Ying Li³, Jiahuan Gao³, Hui Han⁴, Ge Zhang⁵, Xiaochen Li⁵, Yu Shen⁵, Wei Wei⁵, Yan Bai⁵, Jiapei Xie¹, Zhi Luo¹, Xianchang Zhang⁶, Meiyun Wang⁷

Affiliations

¹ Department of Medical Imaging, Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China; Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China.
² Xinxiang Medical University & Henan Provincial People's Hospital, Zhengzhou & Xinxiang, Henan, China.
³ Department of Rehabilitation Medicine, Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China.
⁴ Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
⁵ Department of Medical Imaging, Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China.
⁶ MR Collaboration, Siemens Healthineers Ltd, Beijing, China.
⁷ Department of Medical Imaging, Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China; Laboratory of Brain Science and Brain-Like Intelligence Technology, Institute for Integrated Medical Science and Engineering, Henan Academy of Sciences, Zhengzhou, China. Electronic address: mywang@zzu.edu.cn.

PMID: 36716911
DOI: 10.1016/j.neulet.2023.137097

Abstract

Post-stroke cognitive impairment (PSCI) is a common symptom following brain stroke, yet the mechanisms remain unknown. This study aimed to investigate alterations of static and dynamic functional network connectivity (sFNC and dFNC) in PSCI patients. We prospectively recruited 17 PSCI patients and 24 Healthy controls (HC). Restingstate fMRI (rs-fMRI) and Mini-Mental State Examination (MMSE) were performed. Independent component analysis combined with sliding-window and K-means clustering approach were applied to examine the FNC among 11 resting-state networks: auditory network (AUDN), left executive control network (lECN), language network (LN), precuneus network (PCUN), right executive control network (rECN), salience network (SN), visuospatial network (VN), dorsal default mode network (dDMN), higher visual network (hVIS), primary visual network (pVIS), and ventral mode network (vDMN). The FNC and dynamic indices (fraction time, mean dwell time, transition number) were calculated. Static and dynamic measures were compared between two groups and the correlation between clinical and imaging indicators was analyzed. For sFNC, PSCI group showed decreased interactions in dDMN-vDMN, vDMN-SN, dDMN-hVIS, AUDN-rECN, and AUDN-VN. For dFNC, we derived 3 states of FNC that occurred repeatedly. Significant group differences were found, including decreased interactions in the AUDN-VN, AUDN-pVIS in state 2 and dDMN-VN in state 3. The mean dwell time in PSCI group was longer in state 1, and negatively correlated with MMSE score. These results demonstrated that PSCI patients are characterized with altered sFNC and dFNC, which could help us explore the neural mechanisms of the PSCI from a new perspective.

Keywords: Functional magnetic resonance imaging; Functional network connectivity; Post-stroke cognitive impairment; Resting-state networks.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Brain
Brain Mapping / methods
Cognitive Dysfunction*
Executive Function
Humans
Magnetic Resonance Imaging / methods
Stroke*