J. Matthijs Biesbroek

Bayesian modeling disentangles language versus executive control disruption in stroke

This study uses Bayesian modeling to analyze stroke patient data and identifies distinct brain regions associated with language and executive control impairments.

Strategic infarct locations for post-stroke depressive symptoms: a lesion- and disconnection-symptom mapping study

This study identifies brain infarct locations and white matter disconnections associated with post-stroke depressive symptoms using lesion-symptom mapping and disconnectome analyses.

Generative lesion pattern decomposition of cognitive impairment after stroke

The paper uses machine learning and Bayesian modeling to analyze lesion patterns in stroke patients, showing how left and right hemisphere damage relates to specific cognitive impairments.