Treadmill Exercise Activates Subcortical Neural Networks and Improves Walking After Stroke | Zendy

Andreas R. Luft | Zendy; Richard F. Macko | Zendy; Larry W. Forrester | Zendy; Federico Villagra | Zendy; F. M. Ivey | Zendy; John D. Sorkin | Zendy; Jill Whitall | Zendy; Sandy McCombe-Waller | Zendy; Leslie I. Katzel | Zendy; Andrew P. Goldberg | Zendy; Daniel F. Hanley | Zendy

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Treadmill Exercise Activates Subcortical Neural Networks and Improves Walking After Stroke

Author(s) -

Andreas R. Luft,

Richard F. Macko,

Larry W. Forrester,

Federico Villagra,

F. M. Ivey,

John D. Sorkin,

Jill Whitall,

Sandy McCombe-Waller,

Leslie I. Katzel,

Andrew P. Goldberg,

Daniel F. Hanley

Publication year - 2008

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.108.527531

Subject(s) - medicine , physical medicine and rehabilitation , stroke (engine) , neuroplasticity , gait , treadmill , rehabilitation , aerobic exercise , gait training , neuroscience , physical therapy , psychology , psychiatry , engineering , mechanical engineering

Stroke often impairs gait thereby reducing mobility and fitness and promoting chronic disability. Gait is a complex sensorimotor function controlled by integrated cortical, subcortical, and spinal networks. The mechanisms of gait recovery after stroke are not well understood. This study examines the hypothesis that progressive task-repetitive treadmill exercise (T-EX) improves fitness and gait function in subjects with chronic hemiparetic stroke by inducing adaptations in the brain (plasticity).

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