Literature DB >> 31513941

Coupling between human brain activity and body movements: Insights from non-invasive electromagnetic recordings.

Mathieu Bourguignon1, Veikko Jousmäki2, Sarang S Dalal3, Karim Jerbi4, Xavier De Tiège5.   

Abstract

Electroencephalographic and magnetoencephalographic data have characterized two types of brain-body interactions observed during various types of motor actions, "corticokinematic" and "corticomuscular" coupling. Here, we review the literature on these interactions in healthy individuals, discuss several open debates, and outline current limitations and directions for future research. Corticokinematic coupling (commonly referred to as corticokinematic coherence) probes the relationship between activity of sensorimotor network nodes and various movement-related signals (e.g., speed, velocity, acceleration). It is mainly driven by movement rhythmicity during active, passive, and observed dynamic motor actions. It typically predominates at the primary sensorimotor cortex contralateral to the moving limb, occurs at movement frequency and its harmonics, and predominantly reflects the cortical processing of proprioceptive feedback driven by movement rhythmicity in a broad range of dynamic motor actions. Corticomuscular coupling (commonly referred to as corticomuscular coherence) probes the interaction between sensorimotor cortical rhythms and electromyographic (EMG) activity that mainly occurs during steady isometric muscle contraction. We will here focus on the ~20-Hz coupling that is observed during weak isometric contraction and is linked to the modulation of the descending motor command by the ~20-Hz sensorimotor rhythm. This review argues that corticokinematic and corticomuscular couplings have different neural bases. Corticokinematic coupling is mainly driven by afferent signals, while corticomuscular coupling is mainly (but not solely) driven by efferent signals. This distinction should be considered when investigating interactions between brain and body movements.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain-body interaction; Cortico-kinematic coherence; Cortico-muscular coherence; Electroencephalography; Isometric contraction; Magnetoencephalography; Motor actions

Year:  2019        PMID: 31513941     DOI: 10.1016/j.neuroimage.2019.116177

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


  8 in total

Review 1.  Can EEG and MEG detect signals from the human cerebellum?

Authors:  Lau M Andersen; Karim Jerbi; Sarang S Dalal
Journal:  Neuroimage       Date:  2020-04-08       Impact factor: 6.556

Review 2.  Ultrasensitive Magnetic Field Sensors for Biomedical Applications.

Authors:  Dmitry Murzin; Desmond J Mapps; Kateryna Levada; Victor Belyaev; Alexander Omelyanchik; Larissa Panina; Valeria Rodionova
Journal:  Sensors (Basel)       Date:  2020-03-11       Impact factor: 3.576

3.  Visual detection is locked to the internal dynamics of cortico-motor control.

Authors:  Alice Tomassini; Eric Maris; Pauline Hilt; Luciano Fadiga; Alessandro D'Ausilio
Journal:  PLoS Biol       Date:  2020-10-20       Impact factor: 8.029

4.  Functional cortical localization of tongue movements using corticokinematic coherence with a deep learning-assisted motion capture system.

Authors:  Hitoshi Maezawa; Momoka Fujimoto; Yutaka Hata; Masao Matsuhashi; Hiroaki Hashimoto; Hideki Kashioka; Toshio Yanagida; Masayuki Hirata
Journal:  Sci Rep       Date:  2022-01-10       Impact factor: 4.379

Review 5.  Gratifying Gizmos for Research and Clinical MEG.

Authors:  Veikko Jousmäki
Journal:  Front Neurol       Date:  2022-01-27       Impact factor: 4.003

6.  Interpersonal synchronization of movement intermittency.

Authors:  Alice Tomassini; Julien Laroche; Marco Emanuele; Giovanni Nazzaro; Nicola Petrone; Luciano Fadiga; Alessandro D'Ausilio
Journal:  iScience       Date:  2022-03-17

7.  TV-NARX and Coiflets WPT based time-frequency Granger causality with application to corticomuscular coupling in hand-grasping.

Authors:  Feifei Zhu; Yurong Li; Zhengyi Shi; Wuxiang Shi
Journal:  Front Neurosci       Date:  2022-09-29       Impact factor: 5.152

8.  Re-emergent Tremor in Parkinson's Disease: The Role of the Motor Cortex.

Authors:  Giorgio Leodori; Daniele Belvisi; Maria I De Bartolo; Andrea Fabbrini; Matteo Costanzo; Felipe Vial; Antonella Conte; Mark Hallett; Alfredo Berardelli
Journal:  Mov Disord       Date:  2020-03-16       Impact factor: 9.698

  8 in total

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