PD is a neurodegenerative disorder characterized by motor dysfunction. Functional MRI offers a unique opportunity to non-invasively characterize brain function. In this study, we hypothesized that the motor functions observed in PD may involve connectivity in higher-level attention networks. Understanding the resting state functional networks that correlate with the severity of the motor symptoms would be valuable to understand the disease physiology. The objective of this study is to investigate the functional connectivity network pairs associated with the motor symptoms in people with Parkinson's disease (pwPD).
Details
Title
Resting state functional connectivity shows that motor and non-motor networks predict motor symptoms in Parkinson's Disease
Creator
Ragothaman, Anjanibhargavi : Oregon Health and Science University Mancini, Martina : Oregon Health and Science University Nutt, John : Oregon Health and Science University Fair, Damien A. : Oregon Health and Science University Horak, Fay B. : Oregon Health and Science University Dominguez, Oscar M. : Oregon Health and Science University
Meeting Name
Research Week, Oregon Health and Science University, 2021