Ontology highlight
ABSTRACT: Background
Cognitive impairments are prevalent in many neurological disorders and remain underdiagnosed and poorly studied longitudinally. Unsupervised remote cognitive testing is an accessible, scalable, and cost-effective solution. However it often fails to separate cognitive deficits from commonly co-occurring motor impairments. To address this gap, we present a computational framework that isolates cognitive ability from motor impairment in self-administered digital tasks.Methods
Stroke was chosen as a representative neurological disorder, as patients frequently experience both motor and cognitive impairments. Our validation analyses spanned 18 computerised tasks that were completed longitudinally by a cohort of stroke survivors (N = 171) collected as part of the IC3 st
SUBMITTER: Gruia DC
PROVIDER: S-EPMC12433494 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature