Literature DB >> 23255723

The strength of the corticospinal coherence depends on the predictability of modulated isometric forces.

Ignacio Mendez-Balbuena1, Jose Raul Naranjo, Xi Wang, Agnieska Andrykiewicz, Frank Huethe, Jürgen Schulte-Mönting, Marie-Claude Hepp-Reymond, Rumyana Kristeva.   

Abstract

Isometric compensation of predictably frequency-modulated low forces is associated with corticomuscular coherence (CMC) in beta and low gamma range. It remains unclear how the CMC is influenced by unpredictably modulated forces, which create a mismatch between expected and actual sensory feedback. We recorded electroencephalography from the contralateral hand motor area, electromyography (EMG), and the motor performance of 16 subjects during a visuomotor task in which they had to isometrically compensate target forces at 8% of the maximum voluntary contraction with their right index finger. The modulated forces were presented with predictable or unpredictable frequencies. We calculated the CMC, the cortical motor alpha-, beta-, and gamma-range spectral powers (SP), and the task-related desynchronization (TRD), as well as the EMG SP and the performance. We found that in the unpredictable condition the CMC was significantly lower and associated with lower cortical motor SP, stronger TRD, higher EMG SP, and worse performance. The findings suggest that due to the mismatch between predicted and actual sensory feedback leading to higher computational load and less stationary motor state, the unpredictable modulation of the force leads to a decrease in corticospinal synchrony, an increase in cortical and muscle activation, and a worse performance.

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Year:  2012        PMID: 23255723     DOI: 10.1152/jn.00187.2012

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  2 in total

1.  Motor Unit-Driven Identification of Pathological Tremor in Electroencephalograms.

Authors:  Aleš Holobar; Juan A Gallego; Jernej Kranjec; Eduardo Rocon; Juan P Romero; Julián Benito-León; José L Pons; Vojko Glaser
Journal:  Front Neurol       Date:  2018-10-29       Impact factor: 4.003

2.  Broad-band Gaussian noise is most effective in improving motor performance and is most pleasant.

Authors:  Carlos Trenado; Areh Mikulić; Elias Manjarrez; Ignacio Mendez-Balbuena; Jürgen Schulte-Mönting; Frank Huethe; Marie-Claude Hepp-Reymond; Rumyana Kristeva
Journal:  Front Hum Neurosci       Date:  2014-02-03       Impact factor: 3.169

  2 in total

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