Literature DB >> 23357073

Coherence between magnetoencephalography and hand-action-related acceleration, force, pressure, and electromyogram.

Harri Piitulainen1, Mathieu Bourguignon, Xavier De Tiège, Riitta Hari, Veikko Jousmäki.   

Abstract

Hand velocity and acceleration are coherent with magnetoencephalographic (MEG) signals recorded from the contralateral primary sensorimotor (SM1) cortex. To learn more of this interaction, we compared the coupling of MEG signals with four hand-action-related peripheral signals: acceleration, pressure, force, and electromyogram (EMG). Fifteen subjects performed self-paced repetitive hand-action tasks for 3.5min at a rate of about 3Hz. Either acceleration, pressure or force signal was acquired with MEG and EMG signals during (1) flexions-extensions of right-hand fingers, with thumb touching the other fingers (acceleration; free), (2) dynamic index-thumb pinches against an elastic rubber ball attached to a pressure sensor (pressure and acceleration; squeeze), and (3) brief fixed-finger-position index-thumb pinches against a rigid load cell (force; fixed-pinch). Significant coherence occurred between MEG and all the four peripheral measures at the fundamental frequency of the hand action (F0) and its first harmonic (F1). In all tasks, the cortical sources contributing to the cross-correlograms were located at the contralateral hand SM1 cortex, with average inter-source distance (mean±SEM) of 9.5±0.3mm. The coherence was stronger with respect to pressure (0.40±0.03 in squeeze) and force (0.38±0.04 in fixed-pinch) than acceleration (0.24±0.03 in free) and EMG (0.25±0.02 in free, and 0.29±0.04 in fixed-pinch). The results imply that the SM1 cortex is strongly coherent at F0 and F1 with hand-action-related pressure and force, in addition to the previously demonstrated EMG, velocity, and acceleration. All these measures, especially force and pressure, are potential tools for functional mapping of the SM1 cortex.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23357073     DOI: 10.1016/j.neuroimage.2013.01.029

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  10 in total

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2.  MEG Insight into the Spectral Dynamics Underlying Steady Isometric Muscle Contraction.

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3.  Beta Band Corticomuscular Drive Reflects Muscle Coordination Strategies.

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Review 6.  Gratifying Gizmos for Research and Clinical MEG.

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8.  Neural signatures of hand kinematics in leaders vs. followers: A dual-MEG study.

Authors:  Guangyu Zhou; Mathieu Bourguignon; Lauri Parkkonen; Riitta Hari
Journal:  Neuroimage       Date:  2015-11-05       Impact factor: 6.556

9.  Preserved coupling between the reader's voice and the listener's cortical activity in autism spectrum disorders.

Authors:  Catherine Clumeck; Sarah Suarez Garcia; Mathieu Bourguignon; Vincent Wens; Marc Op de Beeck; Brice Marty; Nicolas Deconinck; Marie-Vincianne Soncarrieu; Serge Goldman; Veikko Jousmäki; Patrick Van Bogaert; Xavier De Tiège
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10.  Cortical Proprioceptive Processing Is Altered by Aging.

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Journal:  Front Aging Neurosci       Date:  2018-06-14       Impact factor: 5.750

  10 in total

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