Predicting Parkinson's disease trajectory using clinical and neuroimaging baseline measures.

Journal: Parkinsonism & related disorders
PMID: 33730626

Abstract

INTRODUCTION: Predictive biomarkers of Parkinson's Disease progression are needed to expedite neuroprotective treatment development and facilitate prognoses for patients. This work uses measures derived from resting-state functional magnetic resonance imaging, including regional homogeneity (ReHo) and fractional amplitude of low frequency fluctuations (fALFF), to predict an individual's current and future severity over up to 4 years and to elucidate the most prognostic brain regions.

Authors

  • Kevin P Nguyen
    Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Vyom Raval
    University of Texas at Dallas, Dallas, TX, USA.
  • Alex Treacher
    Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Cooper Mellema
    Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Fang Frank Yu
    Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Marco C Pinho
  • Rathan M Subramaniam
    Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA; Otago Medical School, University of Otago, New Zealand.
  • Richard B Dewey
    Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Albert A Montillo
    Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA; University of Texas at Dallas, Dallas, TX, USA. Electronic address: Albert.Montillo@UTSouthwestern.edu.

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