Connectome-Based Propagation Model in Amyotrophic Lateral Sclerosis.

Journal: Annals of neurology
PMID: 32072667

Abstract

OBJECTIVE: Clinical trials in amyotrophic lateral sclerosis (ALS) continue to rely on survival or functional scales as endpoints, despite the emergence of quantitative biomarkers. Neuroimaging-based biomarkers in ALS have been shown to detect ALS-associated pathology in vivo, although anatomical patterns of disease spread are poorly characterized. The objective of this study is to simulate disease propagation using network analyses of cerebral magnetic resonance imaging (MRI) data to predict disease progression.

Authors

  • Jil M Meier
    Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Hannelore K van der Burgh
    Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Heidelberglaan 100, PO Box 85500, 3508 GA, Utrecht, Netherlands.
  • Abram D Nitert
    Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Peter Bede
    Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Dublin, Ireland. bedep@tcd.ie.
  • Siemon C de Lange
    Dutch Connectome Lab, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Free University Amsterdam, Amsterdam, the Netherlands.
  • Orla Hardiman
    Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
  • Leonard H van den Berg
    Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Heidelberglaan 100, PO Box 85500, 3508 GA, Utrecht, Netherlands.
  • Martijn P van den Heuvel
    Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Heidelberglaan 100, PO Box 85500, 3508 GA, Utrecht, Netherlands.

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