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Association of Lesion Location and Fatigue Symptoms After Ischemic Stroke: A VLSM Study.

Authors :
Wang, Jinjing
Gu, Mengmeng
Xiao, Lulu
Jiang, Shiyi
Yin, Dawei
He, Ye
Wang, Peng
Sun, Wen
Liu, Xinfeng
Source :
Frontiers in Aging Neuroscience; 6/29/2022, Vol. 14, p1-10, 10p
Publication Year :
2022

Abstract

Background: Poststroke fatigue (PSF) is a common symptom in stroke survivors, yet its anatomical mechanism is unclear. Our study was aimed to identify which brain lesions are related to the PSF in patients with acute stroke. Method: Patients with first-ever acute ischemic stroke consecutively admitted from the first affiliated hospital of the University of Science and Technology of China (USTC) between January 2017 and June 2020. Fatigue was scored using the Fatigue Severity Scale. All the participants were assessed by 3.0 T brain MRI including diffusion-weighted imaging. The infarct lesions were delineated manually and transformed into a standard template. Voxel-based lesion-symptom mapping (VLSM) was applied to investigate the association between lesion location and the occurrence and severity of fatigue. The same analyses were carried out by flipping the left-sided lesions. Multivariate logistic regressions were applied to verify the associations. Results: Of the 361 patients with acute stroke, 142 (39.3%) patients were diagnosed with fatigue in the acute phase and 116 (35.8%) at 6 months after the index stroke. VLSM analysis indicated clusters in the right thalamus which was significantly associated with the occurrence and severity of PSF at 6-month follow-up. In contrast, no significant cluster was found in the acute phase of stroke. The flipped analysis did not alter the results. Multivariate logistic regression verified that lesion load in the right thalamus (OR 2.67, 95% CI 1.46–4.88) was an independent predictor of 6-month PSF. Conclusion: Our findings indicated that lesions in the right thalamus increased the risk of fatigue symptoms 6 months poststroke. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16634365
Volume :
14
Database :
Complementary Index
Journal :
Frontiers in Aging Neuroscience
Publication Type :
Academic Journal
Accession number :
157741887
Full Text :
https://doi.org/10.3389/fnagi.2022.902604