Post-stroke outcomes predicted from multivariate lesion-behaviour and lesion network mapping.

ABSTRACT: Clinicians and scientists alike have long sought to predict the course and severity of chronic post-stroke cognitive and motor outcomes, as the ability to do so would inform treatment and rehabilitation strategies. However, it remains difficult to make accurate predictions about chronic post-stroke outcomes due, in large part, to high inter-individual variability in recovery and a reliance on clinical heuristics rather than empirical methods. The neuroanatomical location of a stroke is a key variable associated with long-term outcomes, and because lesion location can be derived from routinely collected clinical neuroimaging data there is an opportunity to use this information to make empirically based predictions about post-stroke deficits. For example, lesion location can be compared to s

SUBMITTER: Bowren M 

PROVIDER: S-EPMC9630711 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature