Innovations and challenges in predicting cognitive trajectories after stroke

Nele Demeyere; Margaret J Moore

doi:10.1093/braincomms/fcae364

Innovations and challenges in predicting cognitive trajectories after stroke

Brain Commun. 2024 Oct 16;6(5):fcae364. doi: 10.1093/braincomms/fcae364. eCollection 2024.

Authors

Nele Demeyere¹, Margaret J Moore²

Affiliations

¹ Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK.
² Queensland Brain Institute, The University of Queensland, St. Lucia, QLD 4072, Australia.

Abstract

This scientific commentary refers to 'Deep learning disconnectomes to accelerate and improve long-term predictions for post-stroke symptoms', by Matsulevits et al. (https://doi.org/10.1093/braincomms/fcae338).