Publication

Machine learning within the Parkinson’s progression markers initiative: Review of the current state of affairs

Citation:
Frontiers in Aging Neuroscience, February 13, 2023
Authored By:
Raphael T. Gerraty, Allison Provost, Lin Li, Erin Wagner, Magali Haas and Lee Lancashire
Abstract:
The Parkinson’s Progression Markers Initiative (PPMI) has collected more than a decade’s worth of longitudinal and multi-modal data from patients, healthy controls, and at-risk individuals, including imaging, clinical, cognitive, and ‘omics’ biospecimens. Such a rich dataset presents unprecedented opportunities for biomarker discovery, patient subtyping, and prognostic prediction, but it also poses challenges that may require the development of novel methodological approaches to solve. In this review, we provide an overview of the application of machine learning methods to analyzing data from the PPMI cohort. We find that there is significant variability in the types of data, models, and validation procedures used across studies, and that much of what makes the PPMI data set unique (multi-modal and longitudinal observations) remains underutilized in most machine learning studies. We review each of these dimensions in detail and provide recommendations for future machine learning work using data from the PPMI cohort.
Published in:
Frontiers in Aging Neuroscience
Frontiers

More Publications

August 1, 2023

Journal of Psychopharmacology

Improving Translational Relevance in Preclinical Psychopharmacology (iTRIPP)

July 6, 2023

Gerontology and Geriatric Medicine

Caring for Dementia Caregivers: Understanding Caregiver Stress During the COVID-19 Pandemic

May 19, 2023

Nature Reviews Neurology

Global synergistic actions to improve brain health for human development

April 20, 2023

Nature Mental Health

Machine learning-based identification of a psychotherapy-predictive electroencephalographic signature in PTSD

February 21, 2023

Translational Psychiatry

Screening for PTSD and TBI in Veterans using Routine Clinical Laboratory Blood Tests

December 31, 2022

The National Academies of Sciences, Engineering & Medicine Consensus Study Report

Traumatic Brain Injury: A Roadmap for Accelerating Progress