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Topological reorganization of functional hubs in patients with Parkinson's disease with freezing of gait.
Sreenivasan, Karthik; Bayram, Ece; Zhuang, Xiaowei; Longhurst, Jason; Yang, Zhengshi; Cordes, Dietmar; Ritter, Aaron; Caldwell, Jessica; Cummings, Jeffrey L; Mari, Zoltan; Litvan, Irene; Bluett, Brent; Mishra, Virendra R.
Affiliation
  • Sreenivasan K; Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA.
  • Bayram E; Department of Neurosciences, University of California San Diego, La Jolla, California, USA.
  • Zhuang X; Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA.
  • Longhurst J; Department of Physical Therapy and Athletic Training, Saint Louis University, St. Louis, Missouri, USA.
  • Yang Z; Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA.
  • Cordes D; Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA.
  • Ritter A; Department of Radiology, University of Colorado Boulder, Boulder, Colorado, USA.
  • Caldwell J; Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA.
  • Cummings JL; Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA.
  • Mari Z; Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas, Nevada, USA.
  • Litvan I; Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA.
  • Bluett B; Department of Neurosciences, University of California San Diego, La Jolla, California, USA.
  • Mishra VR; Central California Movement Disorders, Pismo Beach, California, USA.
J Neuroimaging ; 33(4): 547-557, 2023.
Article in En | MEDLINE | ID: mdl-37080778
ABSTRACT
BACKGROUND AND

PURPOSE:

Resting-state functional MRI (rs-fMRI) studies in Parkinson's disease (PD) patients with freezing of gait (FOG) have implicated dysfunctional connectivity over multiple resting-state networks (RSNs). While these findings provided network-specific insights and information related to the aberrant or altered regional functional connectivity (FC), whether these alterations have any effect on topological reorganization in PD-FOG patients is incompletely understood. Understanding the higher order functional organization, which could be derived from the "hub" and the "rich-club" organization of the functional networks, could be crucial to identifying the distinct and unique pattern of the network connectivity associated with PD-FOG.

METHODS:

In this study, we use rs-fMRI data and graph theoretical approaches to explore the reorganization of RSN topology in PD-FOG when compared to those without FOG. We also compared the higher order functional organization derived using the hub and rich-club measures in the FC networks of these PD-FOG patients to understand whether there is a topological reorganization of these hubs in PD-FOG.

RESULTS:

We found that the PD-FOG patients showed a noticeable reorganization of hub regions. Regions that are part of the prefrontal cortex, primary somatosensory, motor, and visuomotor coordination areas were some of the regions exhibiting altered hub measures in PD-FOG patients. We also found a significantly altered feeder and local connectivity in PD-FOG.

CONCLUSIONS:

Overall, our findings demonstrate a widespread topological reorganization and disrupted higher order functional network topology in PD-FOG that may further assist in improving our understanding of functional network disturbances associated with PD-FOG.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Parkinson Disease / Gait Disorders, Neurologic Type of study: Etiology_studies / Prognostic_studies Limits: Humans Language: En Journal: J Neuroimaging Journal subject: DIAGNOSTICO POR IMAGEM / NEUROLOGIA Year: 2023 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Parkinson Disease / Gait Disorders, Neurologic Type of study: Etiology_studies / Prognostic_studies Limits: Humans Language: En Journal: J Neuroimaging Journal subject: DIAGNOSTICO POR IMAGEM / NEUROLOGIA Year: 2023 Document type: Article Affiliation country: Estados Unidos