Characteristics of resting brain network for patients with cognitive impairment after stroke using functional near-infrared spectroscopy
10.3969/j.issn.1006-9771.2022.04.011
- VernacularTitle:脑卒中后认知障碍患者静息态脑网络特征的功能性近红外光谱研究
- Author:
Jiamin LU
1
;
Sinian YAN
1
;
Yihao CHEN
1
;
Rongrong LU
1
;
Yi WU
1
Author Information
1. Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
- Publication Type:Journal Article
- Keywords:
stroke, cognitive impairment, resting brain network, functional near-infrared spectroscopy
- From:
Chinese Journal of Rehabilitation Theory and Practice
2022;28(4):447-452
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the resting brain functional connectivity in patients with post-stroke cognitive impairment (PSCI).Methods From January, 2020 to January, 2021, 24 PSCI patients were divided into mild group (n=12) and moderate group (n=12) according to Mini-Mental State Examination and Montreal Cognitive Assessment scores; and other ten healthy controls (control group) were included. All the subjects were scanned with 64-channel functional near-infrared spectroscopy in resting for six minutes. The data were analyzed with NirSpark 1.6.12 and SPSS 26.0.Results Using deoxyhemoglobin, the functional connectivity between bilateral hemispheres reduced in the moderate group compared with those in the control group (t=-2.763, P=0.024), especially for the functional connectivity between sensorimotor cortexes (F=12.674, P=0.031).Conclusion Functional connectivity between hemispheres decreases in PSCI patients, especially between sensorimotor cortexes.