Is it possible to predict individual post-stroke recovery in the early stage?

Takeaway

  • Computational analyses of whole-brain connectivity could be used to predict the recovery process in the early stages post stroke, stratify patients for precision therapy and guide clinical trials of new personalized treatments.

Why this matters

  • The recovery process and outcomes in stroke patients vary and are difficult to predict, which presents a challenge in terms of treatment and rehabilitation.

  • This study provides important evidence for the utility of computational approaches in predicting post-stroke recovery trajectories in individual patients, which could be used to stratify patients into different recovery groups and, potentially, to develop personalized treatments.