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Author Notes:

Correspondence: Cory Inman, Department of Psychology, Emory University or Andrew J. Butler, PhD, PT, Department of Rehabilitation Medicine, School of Medicine, Emory University, Atlanta, GA USA, 36 Eagle Row, Atlanta, GA 30033; Phone: 404-727-6304; Fax: 404-727-0372; Emails: corysinman@gmail.com or Andrew.Butler@emory.edu

Acknowledgments: We gratefully thank the therapists, coordinators, and research assistants for invaluable work during data collection.

We also thank the Atlanta Clinical & Translational Science Institute (ACTSI) and the Woodruff Health Sciences Center for their support.

Subjects:

Research Funding:

This work was supported by the National Institutes of Health, National Center for Complementary and Alternative Medicine (R21 AT-002138-03 to A.J.B).

Keywords:

  • Exploratory Structural Equation Modeling
  • Functional imaging
  • Motor circuits
  • Network Analysis
  • Top-Down Control

Altered resting-state effective connectivity of fronto-parietal motor control systems on the primary motor network following stroke

Tools:

Journal Title:

NeuroImage

Volume:

Volume 59, Number 1

Publisher:

, Pages 227-237

Type of Work:

Article | Post-print: After Peer Review

Abstract:

Previous brain imaging work suggests that stroke alters the effective connectivity (the influence neural regions exert upon each other) of motor execution networks. The present study examines the intrinsic effective connectivity of top-down motor control in stroke survivors (n=13) relative to healthy participants (n=12). Stroke survivors exhibited significant deficits in motor function, as assessed by the Fugl-Meyer Motor Assessment. We used structural equation modeling (SEM) of resting-state fMRI data to investigate the relationship between motor deficits and the intrinsic effective connectivity between brain regions involved in motor control and motor execution. An exploratory adaptation of SEM determined the optimal model of motor execution effective connectivity in healthy participants, and confirmatory SEM assessed stroke survivors’ fit to that model. We observed alterations in spontaneous resting-state effective connectivity from fronto-parietal guidance systems to the motor network in stroke survivors. More specifically, diminished connectivity was found in connections from the superior parietal cortex to primary motor cortex and supplementary motor cortex. Furthermore, the paths demonstrated large individual variance in stroke survivors but less variance in healthy participants. These findings suggest that characterizing the deficits in resting-state connectivity of top-down processes in stroke survivors may help optimize cognitive and physical rehabilitation therapies by individually targeting specific neural pathway.

Copyright information:

© 2011 Elsevier Inc. All rights reserved.

This is an Open Access work distributed under the terms of the Creative Commons Attribution-NonCommerical-NoDerivs 3.0 Unported License (http://creativecommons.org/licenses/by-nc-nd/3.0/).

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