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The Cognitive Demands of Gait Retraining in Runners: An EEG Study.
Whittier, Tyler; Willy, Richard W; Sandri Heidner, Gustavo; Niland, Samantha; Melton, Caitlin; Mizelle, J C; Murray, Nicholas P.
Affiliation
  • Whittier T; Colorado State University, Fort Collins, Colorado, USA.
  • Willy RW; School of Physical Therapy and Rehabilitation Science, University of Montana, Missoula, Montana, USA.
  • Sandri Heidner G; 3Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.
  • Niland S; 3Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.
  • Melton C; 3Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.
  • Mizelle JC; 3Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.
  • Murray NP; 3Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.
J Mot Behav ; 52(3): 360-371, 2020.
Article in En | MEDLINE | ID: mdl-31328698
High impact forces during running have been associated with tibial stress injuries. Previous research has demonstrated increasing step rate will decrease impact forces during running. However, no research has determined the cognitive demand of gait retraining. The primary purpose was to determine the cognitive demand and effectiveness of field-based gait retraining. We hypothesized that in-field gait retraining would alter running mechanics without increasing cognitive workload as measured by EEG following learning. Runners with a history of tibial injury completed a gait retraining protocol which included a baseline run, retraining phase, practice phase, and re-assessment following retraining protocol. Results demonstrated an increase in the theta, beta, and gamma power within prefrontal cortex during new learning and corresponding return to baseline following skill acquisition and changes across alpha, beta, gamma, mu, and theta in the motor cortex (p < .05). In the midline superior parietal cortex, spectral power was greater for theta activity during new learning with a corresponding alpha suppression. Overall, the results demonstrated the use of EEG as an effective tool to measure cognitive demand for implicit motor learning and the effectiveness of in-field gait retraining.
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Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Running / Brain / Cognition / Gait / Learning Type of study: Guideline Limits: Adolescent / Adult / Female / Humans / Male Language: En Journal: J Mot Behav Year: 2020 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Running / Brain / Cognition / Gait / Learning Type of study: Guideline Limits: Adolescent / Adult / Female / Humans / Male Language: En Journal: J Mot Behav Year: 2020 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos