Right hemispheric white matter hyperintensities improve the prediction of spatial neglect severity in acute stroke.

ABSTRACT: White matter hyperintensities (WMH) are frequently observed in brain scans of elderly people. They are associated with an increased risk of stroke, cognitive decline, and dementia. However, it is unknown yet if measures of WMH provide information that improve the understanding of poststroke outcome compared to only state-of-the-art stereotaxic structural lesion data. We implemented high-dimensional machine learning models, based on support vector regression, to predict the severity of spatial neglect in 103 acute right hemispheric stroke patients. We found that (1) the additional information of right hemispheric or bilateral voxel-based topographic WMH extent indeed yielded a significant improvement in predicting acute neglect severity (compared to the voxel-based stroke lesion map alone).

SUBMITTER: Rohrig L 

PROVIDER: S-EPMC9723300 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature