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Distance-related functional reorganization predicts motor outcome in stroke patients

Authors :
Wenjun Hong
Zaixing Liu
Xin Zhang
Ming Li
Zhixuan Yu
Yuxin Wang
Minmin Wang
Yanan Wu
Shengjie Fang
Bo Yang
Rong Xu
Zhiyong Zhao
Source :
BMC Medicine, Vol 22, Iss 1, Pp 1-14 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background Analyzing distance-dependent functional connectivity density (FCD) yields valuable insights into patterns of brain activity. Nevertheless, whether alterations of FCD in non-acute stroke patients are associated with the anatomical distance between brain regions remains unclear. This study aimed to explore the distance-related functional reorganization in non-acute stroke patients following left and right hemisphere subcortical lesions, and its relationship with clinical assessments. Methods In this study, we used resting-state fMRI to calculate distance-dependent (i.e., short- and long-range) FCD in 25 left subcortical stroke (LSS) patients, 22 right subcortical stroke (RSS) patients, and 39 well-matched healthy controls (HCs). Then, we compared FCD differences among the three groups and assessed the correlation between FCD alterations and paralyzed motor function using linear regression analysis. Results Our findings demonstrated that the left inferior frontal gyrus displayed distance-independent FCD changes, while the bilateral supplementary motor area, cerebellum, and left middle occipital gyrus exhibited distance-dependent FCD alterations in two patient subgroups compared with HCs. Furthermore, we observed a positive correlation between increased FCD in the bilateral supplementary motor area and the motor function of lower limbs, and a negative correlation between increased FCD in the left inferior frontal gyrus and the motor function of both upper and lower limbs across all stroke patients. These associations were validated by using a longitudinal dataset. Conclusions The FCD in the cerebral and cerebellar cortices shows distance-related changes in non-acute stroke patients with motor dysfunction, which may serve as potential biomarkers for predicting motor outcomes after stroke. These findings enhance our comprehension of the neurobiological mechanisms driving non-acute stroke. Trial registration All data used in the present study were obtained from a research trial registered with the ClinicalTrials.gov database (NCT05648552, registered 05 December 2022, starting from 01 January 2022).

Details

Language :
English
ISSN :
17417015
Volume :
22
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.4c3c3ae5586494aabcd90f0c3c1b709
Document Type :
article
Full Text :
https://doi.org/10.1186/s12916-024-03435-7