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Dataset Information

Mitigating the impact of motor impairment on self-administered digital tests: a longitudinal cohort study in stroke.


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