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Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients

Stroke & Vascular Neurology 2022年第2期7卷 124-131页

作者： Deepthi Rajashekar Matthias Wilms M Ethan MacDonald serena schimert Michael D Hill Andrew Demchuk Mayank Goyal Sean P Dukelow Nils Daniel Forkert Biomedical Engineering Graduate Program Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada Department of Radiology Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada Hotchkiss Brain Institute University of CalgaryCalgaryAlbertaCanada Department of Clinical Neurosciences University of CalgaryCalgaryAlbertaCanada Department of Electrical and Computer Engineering University of CalgaryCalgaryAlbertaCanada Department of Community Health Sciences Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada Department of Medicine Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada Alberta Children's Hospital Research Institute University of CalgaryCalgaryABCanada

Background Lesion-symptom mapping(LSM)is a statistical technique to investigate the population-specific relationship between structural integrity and post-stroke clinical *** clinical practice,patients are commonly evaluated using the National Institutes of Health Stroke Scale(NIHSS),an 11-domain clinical score to quantitate neurological deficits due to *** far,LSM studies have mostly used the total NIHSS score for analysis,which might not uncover subtle structure–function relationships associated with the specific sub-domains of the NIHSS ***,the aim of this work was to investigate the feasibility to perform LSM analyses with sub-score information to reveal category-specific structure–function relationships that a total score may not *** Employing a multivariate technique,LSM analyses were conducted using a sample of 180 patients with NIHSS assessment at 48-hour post-stroke from the ESCAPE *** NIHSS domains were grouped into six categories using two *** was conducted for each category of the two groupings and the total NIHSS *** Sub-score LSMs not only identify most of the brain regions that are identified as critical by the total NIHSS score but also reveal additional brain regions critical to each function category of the NIHSS assessment without requiring extensive,specialised *** These findings show that widely available sub-scores of clinical outcome assessments can be used to investigate more specific structure–function relationships,which may improve predictive modelling of stroke outcomes in the context of modern clinical stroke assessments and neuroimaging.

关键词： patients score category

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