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The analysis of brain functional connectivity of post-stroke cognitive impairment patients: an fNIRS study

BACKGROUND: Post-stroke cognitive impairment (PSCI) is a considerable risk factor for developing dementia and reoccurrence of stroke. Understanding the neural mechanisms of cognitive impairment after stroke can facilitate early identification and intervention. OBJECTIVES: Using functional near-infra...

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Autores principales: Zou, Jiahuan, Yin, Yongyan, Lin, Zhenfang, Gong, Yulai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196111/
https://www.ncbi.nlm.nih.gov/pubmed/37214384
http://dx.doi.org/10.3389/fnins.2023.1168773
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author Zou, Jiahuan
Yin, Yongyan
Lin, Zhenfang
Gong, Yulai
author_facet Zou, Jiahuan
Yin, Yongyan
Lin, Zhenfang
Gong, Yulai
author_sort Zou, Jiahuan
collection PubMed
description BACKGROUND: Post-stroke cognitive impairment (PSCI) is a considerable risk factor for developing dementia and reoccurrence of stroke. Understanding the neural mechanisms of cognitive impairment after stroke can facilitate early identification and intervention. OBJECTIVES: Using functional near-infrared spectroscopy (fNRIS), the present study aimed to examine whether resting-state functional connectivity (FC) of brain networks differs in patients with PSCI, patients with Non-PSCI (NPSCI), and healthy controls (HCs), and whether these features could be used for clinical diagnosis of PSCI. METHODS: The present study recruited 16 HCs and 32 post-stroke patients. Based on the diagnostic criteria of PSCI, post-stroke patients were divided to the PSCI or NPSCI group. All participants underwent a 6-min resting-state fNRIS test to measure the hemodynamic responses from regions of interests (ROIs) that were primarily distributed in the prefrontal, somatosensory, and motor cortices. RESULTS: The results showed that, when compared to the HC group, the PSCI group exhibited significantly decreased interhemispheric FC and intra-right hemispheric FC. ROI analyses showed significantly decreased FC among the regions of somatosensory cortex, dorsolateral prefrontal cortex, and medial prefrontal cortex for the PSCI group than for the HC group. However, no significant difference was found in the FC between the PSCI and the NPSCI groups. CONCLUSION: Our findings provide evidence for compromised interhemispheric and intra-right hemispheric functional connectivity in patients with PSCI, suggesting that fNIRS is a promising approach to investigate the effects of stroke on functional connectivity of brain networks.
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spelling pubmed-101961112023-05-20 The analysis of brain functional connectivity of post-stroke cognitive impairment patients: an fNIRS study Zou, Jiahuan Yin, Yongyan Lin, Zhenfang Gong, Yulai Front Neurosci Neuroscience BACKGROUND: Post-stroke cognitive impairment (PSCI) is a considerable risk factor for developing dementia and reoccurrence of stroke. Understanding the neural mechanisms of cognitive impairment after stroke can facilitate early identification and intervention. OBJECTIVES: Using functional near-infrared spectroscopy (fNRIS), the present study aimed to examine whether resting-state functional connectivity (FC) of brain networks differs in patients with PSCI, patients with Non-PSCI (NPSCI), and healthy controls (HCs), and whether these features could be used for clinical diagnosis of PSCI. METHODS: The present study recruited 16 HCs and 32 post-stroke patients. Based on the diagnostic criteria of PSCI, post-stroke patients were divided to the PSCI or NPSCI group. All participants underwent a 6-min resting-state fNRIS test to measure the hemodynamic responses from regions of interests (ROIs) that were primarily distributed in the prefrontal, somatosensory, and motor cortices. RESULTS: The results showed that, when compared to the HC group, the PSCI group exhibited significantly decreased interhemispheric FC and intra-right hemispheric FC. ROI analyses showed significantly decreased FC among the regions of somatosensory cortex, dorsolateral prefrontal cortex, and medial prefrontal cortex for the PSCI group than for the HC group. However, no significant difference was found in the FC between the PSCI and the NPSCI groups. CONCLUSION: Our findings provide evidence for compromised interhemispheric and intra-right hemispheric functional connectivity in patients with PSCI, suggesting that fNIRS is a promising approach to investigate the effects of stroke on functional connectivity of brain networks. Frontiers Media S.A. 2023-05-05 /pmc/articles/PMC10196111/ /pubmed/37214384 http://dx.doi.org/10.3389/fnins.2023.1168773 Text en Copyright © 2023 Zou, Yin, Lin and Gong. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Zou, Jiahuan
Yin, Yongyan
Lin, Zhenfang
Gong, Yulai
The analysis of brain functional connectivity of post-stroke cognitive impairment patients: an fNIRS study
title The analysis of brain functional connectivity of post-stroke cognitive impairment patients: an fNIRS study
title_full The analysis of brain functional connectivity of post-stroke cognitive impairment patients: an fNIRS study
title_fullStr The analysis of brain functional connectivity of post-stroke cognitive impairment patients: an fNIRS study
title_full_unstemmed The analysis of brain functional connectivity of post-stroke cognitive impairment patients: an fNIRS study
title_short The analysis of brain functional connectivity of post-stroke cognitive impairment patients: an fNIRS study
title_sort analysis of brain functional connectivity of post-stroke cognitive impairment patients: an fnirs study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196111/
https://www.ncbi.nlm.nih.gov/pubmed/37214384
http://dx.doi.org/10.3389/fnins.2023.1168773
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