Researchgraph convolutional networksbrain predicted agestrokeneuroplasticity
ENIGMA Study Reveals Contralesional Brain Rejuvenation
8.2
Relevance Score
Researchers from USC and the ENIGMA Stroke Recovery Working Group published in The Lancet Digital Health report that deep-learning analysis of MRI scans from over 500 stroke survivors across 34 sites in eight countries found the undamaged hemisphere can appear structurally 'younger' while the damaged side shows accelerated aging. Using graph convolutional networks to estimate regional brain-PAD, they found contralesional rejuvenation in frontoparietal networks correlated with severe motor deficits, suggesting adaptive neuroplasticity that could guide personalized rehabilitation.
Scoring Rationale
Large peer-reviewed multicohort study with advanced AI methods, but findings are domain-specific and require longitudinal validation.
Sources
- Read OriginalStroke Survivors’ Brains Rejuvenate to Compensate for Injuryneurosciencenews.com
