Literature DB >> 21070395

Preparation and performance of obstacle steps: interaction between brain and spinal neuronal activity.

Jenny Haefeli1, Stefanie Vögeli, Jan Michel, Volker Dietz.   

Abstract

This study investigated the interactions of supraspinal with spinal neuronal circuits during obstacle steps by recordings of electroencephalography (EEG), reflex activity and limb muscle electromyography (EMG). Subjects walking with reduced vision on a treadmill were acoustically informed about an approaching obstacle and received feedback about task performance. Only following a task-relevant acoustic signal, spinal reflex responses, evoked by tibial nerve stimulation during mid-stance, were enhanced in proximal arm and leg flexor muscles prior to obstacle compared to normal swing, reflecting the neuronal preparation of the task. During swing over the obstacle, limb muscle EMG activity was greater than in normal swing. Both the preparation and the performance (i.e. ascending movement slope of the obstacle-crossing leg) were associated with an enhanced EEG signal mainly in the prefrontal cortex of the right hemisphere. Adaptational changes in performance, reflex activity and muscle activation during repetitive obstacle stepping were not reflected in the EEG activity, probably due to an insufficient resolution of the EEG. The observations suggest that drive from supraspinal centers initiates and maintains spinal neuronal activity underlying obstacle task preparation and performance.
© 2010 The Authors. European Journal of Neuroscience © 2010 Federation of European Neuroscience Societies and Blackwell Publishing Ltd.

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Year:  2010        PMID: 21070395     DOI: 10.1111/j.1460-9568.2010.07494.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  21 in total

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Journal:  PLoS One       Date:  2015-05-01       Impact factor: 3.240

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7.  Distinct β Band Oscillatory Networks Subserving Motor and Cognitive Control during Gait Adaptation.

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8.  Biological oscillations for learning walking coordination: dynamic recurrent neural network functionally models physiological central pattern generator.

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Journal:  Front Comput Neurosci       Date:  2013-05-29       Impact factor: 2.380

9.  Analyzing EEG signals to detect unexpected obstacles during walking.

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Review 10.  Brain Oscillations in Sport: Toward EEG Biomarkers of Performance.

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Journal:  Front Psychol       Date:  2016-02-26
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