Reorganization of prefrontal network in stroke patients with dyskinesias: evidence from resting-state functional near-infrared spectroscopy

Autor:	Richong Pang, Dan Wang, Tara Scarlette Rosalyn Chen, Anping Yang, Li Yi, Sisi Chen, Jie Wang, Kai Wu, Chaochao Zhao, Hua Liu, Yilong Ai, Aoran Yang, Jinyan Sun
Rok vydání:	2022
Předmět:	Stroke Dyskinesias Spectroscopy Near-Infrared General Engineering General Physics and Astronomy Cluster Analysis Humans Prefrontal Cortex General Materials Science General Chemistry General Biochemistry Genetics and Molecular Biology
Zdroj:	Journal of biophotonicsREFERENCES. 15(7)
ISSN:	1864-0648
Popis:	Stroke usually causes multiple functional disability. To develop novel rehabilitation strategies, it is quite necessary to improve the understanding of post-stroke brain plasticity. Here, we use functional near-infrared spectroscopy to investigate the prefrontal cortex (PFC) network reorganization in stroke patients with dyskinesias. The PFC hemodynamic signals in the resting state from 16 stroke patients and 10 healthy subjects are collected and analyzed with the graph theory. The PFC networks for both groups show small-world attributes. The stroke patients have larger clustering coefficient and transitivity and smaller global efficiency and small-worldness than healthy subjects. Based on the selected network features, the established support vector machine model classifies the two groups of subjects with an accuracy rate of 88.5%. Besides, the clustering coefficient and local efficiency negatively correlate with patients' motor function. This study suggests that the PFC of stroke patients with dyskinesias undergoes specific network reorganization.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76cd052716b31527e180a9db4a87545f https://pubmed.ncbi.nlm.nih.gov/35324088 Zobrazit plný text záznamu Plný text