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Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes.

Elisa ColatoJonathan StuttersCarmen TurSridar NarayananDouglas Lorne ArnoldClaudia A M Gandini Wheeler-KingshottFrederik BarkhofOlga CiccarelliDeclan T ChardE Ann Yeh
Published in: Journal of neurology, neurosurgery, and psychiatry (2021)
The disability progression was better predicted by some of the covarying GM regions patterns, than by single regional or whole-brain measures. ICA, which may represent structural brain networks, can be applied to clinical trials and may play a role in stratifying participants who have the most potential to show a treatment effect.
Keyphrases
  • multiple sclerosis
  • white matter
  • clinical trial
  • resting state
  • cerebral ischemia
  • randomized controlled trial
  • blood brain barrier
  • human health