Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity.

Journal: The British journal of radiology
Published Date:

Abstract

OBJECTIVE: Evaluation of a data-driven, model-based classification approach to discriminate idiopathic Parkinson's disease (PD) patients from healthy controls (HC) based on between-network connectivity in whole-brain resting-state functional MRI (rs-fMRI).

Authors

  • Christian Rubbert
    Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225, Dusseldorf, Germany. christian.rubbert@med.uni-duesseldorf.de.
  • Christian Mathys
    1University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany.
  • Christiane Jockwitz
    3Institute of Neuroscience and Medicine (INM-1) Research Centre Jülich, Jülich, Germany.
  • Christian J Hartmann
    5Institute of Clinical Neuroscience and Medical Psychology Medical Faculty Heinrich-Heine-University, Düsseldorf, Germany.
  • Simon B Eickhoff
    Institute of Neuroscience and Medicine (INM-1, INM-3), Research Centre Jülich, Jülich, Germany.
  • Felix Hoffstaedter
    7Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Dusseldorf, Germany.
  • Svenja Caspers
    3Institute of Neuroscience and Medicine (INM-1) Research Centre Jülich, Jülich, Germany.
  • Claudia R Eickhoff
    5Institute of Clinical Neuroscience and Medical Psychology Medical Faculty Heinrich-Heine-University, Düsseldorf, Germany.
  • Benjamin Sigl
    1University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany.
  • Nikolas A Teichert
    1University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany.
  • Martin Südmeyer
    Department of Neurology, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.
  • Bernd Turowski
    1University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany.
  • Alfons Schnitzler
    Department of Neurology, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.
  • Julian Caspers
    Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225, Dusseldorf, Germany.