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NEUROLOGY

Predicting post-stroke aphasia from brain imaging

Nature Human Behaviour volume 4, pages 675–676 (2020)Cite this article

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Stroke can lead to debilitating consequences, including loss of language. An important goal of stroke research is to use machine learning to predict outcomes and response to therapy. A new study compares different approaches to predicting post-stroke outcomes and highlights the need for systematic optimization and validation to ultimately translate scientific insights to clinical settings.

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Authors and Affiliations

  1. Department of Psychology, University of Chicago, Chicago, IL, USA

    Monica D. Rosenberg & Hayoung Song

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  1. Monica D. Rosenberg
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  2. Hayoung Song
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Correspondence to Monica D. Rosenberg.

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The authors declare no competing interests.

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Rosenberg, M.D., Song, H. Predicting post-stroke aphasia from brain imaging. Nat Hum Behav 4, 675–676 (2020). https://doi.org/10.1038/s41562-020-0902-1

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