Literature DB >> 11068003

Dynamic synchronization between multiple cortical motor areas and muscle activity in phasic voluntary movements.

B Feige1, A Aertsen, R Kristeva-Feige.   

Abstract

To study the functional role of synchronized neuronal activity in the human motor system, we simultaneously recorded cortical activity by high-resolution electroencephalography (EEG) and electromyographic (EMG) activity of the activated muscle during a phasic voluntary movement in seven healthy subjects. Here, we present evidence for dynamic beta-range (16-28 Hz) synchronization between cortical activity and muscle activity, starting after termination of the movement. In the same time range, increased tonic activity in the activated muscle was found. During the movement execution a low-frequency (2-14 Hz) synchronization was found. Using a novel analysis, phase-reference analysis, we were able to extract the EMG-coherent EEG maps for both, low- and high-frequency beta range synchronization. The electrical source reconstruction of the EMG-coherent EEG maps was performed with respect to the individual brain morphology from magnetic resonance imaging (MRI) using a distributed source model (cortical current density analysis) and a realistic head model. The generators of the beta-range synchronization were not only located in the primary motor area, but also in premotor areas. The generators of the low-frequency synchronization were also located in the primary motor and in premotor areas, but with additional participation of the medial premotor area. These findings suggest that the dynamic beta-range synchronization between multiple cortical areas and activated muscles reflects the transition of the collective motor network into a new equilibrium state, possibly related to higher demands on attention, while the low-frequency synchronization is related to the movement execution.

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Year:  2000        PMID: 11068003     DOI: 10.1152/jn.2000.84.5.2622

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


  31 in total

1.  Motor unit synchronisation is enhanced during slow lengthening contractions of a hand muscle.

Authors:  John G Semmler; Kurt W Kornatz; Devin V Dinenno; Shi Zhou; Roger M Enoka
Journal:  J Physiol       Date:  2002-12-01       Impact factor: 5.182

Review 2.  Governing coordination: behavioural principles and neural correlates.

Authors:  R G Carson; J A S Kelso
Journal:  Exp Brain Res       Date:  2003-11-08       Impact factor: 1.972

3.  Modulation of synchrony between single motor units during precision grip tasks in humans.

Authors:  J M Kilner; M Alonso-Alonso; R Fisher; R N Lemon
Journal:  J Physiol       Date:  2002-06-15       Impact factor: 5.182

4.  Beta oscillations in a large-scale sensorimotor cortical network: directional influences revealed by Granger causality.

Authors:  Andrea Brovelli; Mingzhou Ding; Anders Ledberg; Yonghong Chen; Richard Nakamura; Steven L Bressler
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-21       Impact factor: 11.205

5.  Modulation of corticomuscular coherence by peripheral stimuli.

Authors:  Verity M McClelland; Zoran Cvetkovic; Kerry R Mills
Journal:  Exp Brain Res       Date:  2012-04-24       Impact factor: 1.972

6.  The motor cortex drives the muscles during walking in human subjects.

Authors:  T H Petersen; M Willerslev-Olsen; B A Conway; J B Nielsen
Journal:  J Physiol       Date:  2012-03-05       Impact factor: 5.182

7.  Changes in corticospinal drive to spinal motoneurones following visuo-motor skill learning in humans.

Authors:  Monica A Perez; Jesper Lundbye-Jensen; Jens B Nielsen
Journal:  J Physiol       Date:  2006-03-31       Impact factor: 5.182

8.  Coherent neural representation of hand speed in humans revealed by MEG imaging.

Authors:  Karim Jerbi; Jean-Philippe Lachaux; Karim N'Diaye; Dimitrios Pantazis; Richard M Leahy; Line Garnero; Sylvain Baillet
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-18       Impact factor: 11.205

9.  Rolandic alpha and beta EEG rhythms' strengths are inversely related to fMRI-BOLD signal in primary somatosensory and motor cortex.

Authors:  Petra Ritter; Matthias Moosmann; Arno Villringer
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

10.  Corticospinal beta-range coherence is highly dependent on the pre-stationary motor state.

Authors:  Wolfgang Omlor; Luis Patino; Ignacio Mendez-Balbuena; Jürgen Schulte-Mönting; Rumyana Kristeva
Journal:  J Neurosci       Date:  2011-06-01       Impact factor: 6.167

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