Towards precision functional brain network mapping in Parkinson's disease.

ABSTRACT:

Background

Parkinson's disease (PD) is a complex neurodegenerative condition that leads to widespread disruption of large-scale brain networks and is further complicated by substantial individual variability in symptomology, progression rates, and treatment response. Consequently, the investigation of individual differences in networks measured via resting state functional connectivity (RSFC) may provide insight. However, most RSFC studies are unable to identify interindividual differences due to poor reliability and group average network definitions. "Precision" RSFC addresses these shortcomings through extended data collection, strict denoising, and individual network definition, but remains untested in PD.

Objectives

To evaluate the feasibility and reliability of precisio

SUBMITTER: Chernicky J 

PROVIDER: S-EPMC12811542 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature