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Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging.

Derek B ArcherKurt G SchillingNiranjana ShashikumarVaruna JasodanandElizabeth E MooreKimberly R PechmanMurat BilgelLori L Beason-HeldYang AnAndrea T ShaferLuigi FerrucciShannon L RisacherKatherine A GiffordBennett A LandmanAngela L JeffersonAndrew J SaykinSusan M ResnickTimothy J Hohmannull null
Published in: bioRxiv : the preprint server for biology (2023)
Longitudinal data was free-water corrected and harmonizedGlobal effects of white matter decline were seen in normal and abnormal agingThe free-water metric was most vulnerable to abnormal agingCingulum free-water was the most vulnerable to abnormal aging.
Keyphrases
  • white matter
  • multiple sclerosis
  • electronic health record
  • big data
  • magnetic resonance imaging
  • cross sectional
  • magnetic resonance
  • contrast enhanced
  • computed tomography
  • machine learning