A Bayesian optimization approach for rapidly mapping residual network function in stroke.

ABSTRACT: Post-stroke cognitive and linguistic impairments are debilitating conditions, with limited therapeutic options. Domain-general brain networks play an important role in stroke recovery and characterizing their residual function with functional MRI has the potential to yield biomarkers capable of guiding patient-specific rehabilitation. However, this is challenging as such detailed characterization requires testing patients on multitudes of cognitive tasks in the scanner, rendering experimental sessions unfeasibly lengthy. Thus, the current status quo in clinical neuroimaging research involves testing patients on a very limited number of tasks, in the hope that it will reveal a useful neuroimaging biomarker for the whole cohort. Given the great heterogeneity among stroke patients and the vol

SUBMITTER: Lorenz R 

PROVIDER: S-EPMC8370405 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature