# Parkinson Disease Clinical Subtypes: Validation, Clinical Utility, and Biological Correlates

> **NIH NIH R01** · WASHINGTON UNIVERSITY · 2024 · $578,641

## Abstract

ABSTRACT
Parkinson disease (PD) is a progressive neurodegenerative disease characterized by motor, cognitive, and
psychiatric manifestations resulting from abnormal protein deposition and neurotransmitter deficits. The
variability in clinical presentation and progression likely reflects different PD subtypes, which may be associated
with the underlying variability in brain pathology. Although current treatments provide dramatic motor benefit in
PD, they fail to alleviate some aspects of gait impairment and non-motor symptoms and may exacerbate
cognitive and psychiatric features. To develop more personalized interventions to treat, forestall or prevent these
features, more information regarding PD subtypes is necessary for patient selection and stratification, predicting
progression, and evaluation of novel treatments. Therefore, we propose to examine the clinical and prognostic
utility of PD subtypes and their stability through longitudinal behavioral assessments; determine the biological
markers of PD subtypes from multimodal neuroimaging, CSF, and brain autopsy data; and translate the PD
subtypes to a clinical setting.

## Key facts

- **NIH application ID:** 10849778
- **Project number:** 5R01NS097437-07
- **Recipient organization:** WASHINGTON UNIVERSITY
- **Principal Investigator:** MEGHAN C CAMPBELL
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $578,641
- **Award type:** 5
- **Project period:** 2017-04-01 → 2029-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10849778

## Citation

> US National Institutes of Health, RePORTER application 10849778, Parkinson Disease Clinical Subtypes: Validation, Clinical Utility, and Biological Correlates (5R01NS097437-07). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10849778. Licensed CC0.

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