Data-driven biomarkers better associate with stroke motor outcomes than theory-based biomarkers.

ABSTRACT: Chronic motor impairments are a leading cause of disability after stroke. Previous studies have associated motor outcomes with the degree of damage to predefined structures in the motor system, such as the corticospinal tract. However, such theory-based approaches may not take full advantage of the information contained in clinical imaging data. The present study uses data-driven approaches to model chronic motor outcomes after stroke and compares the accuracy of these associations to previously-identified theory-based biomarkers. Using a cross-validation framework, regression models were trained using lesion masks and motor outcomes data from 789 stroke patients from the Enhancing NeuroImaging Genetics through Meta Analysis (ENIGMA) Stroke Recovery Working Group. Using the explained varia

SUBMITTER: Olafson ER 

PROVIDER: S-EPMC11336660 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature