Literature DB >> 27374370

Movement-related phase locking in the delta-theta frequency band.

S Popovych1, N Rosjat1, T I Toth2, B A Wang3, L Liu1, R O Abdollahi3, S Viswanathan4, C Grefkes4, G R Fink4, S Daun5.   

Abstract

Movements result from a complex interplay of multiple brain regions. These regions are assembled into distinct functional networks depending on the specific properties of the action. However, the nature and details of the dynamics of this complex assembly process are unknown. In this study, we sought to identify key markers of the neural processes underlying the preparation and execution of motor actions that always occur irrespective of differences in movement initiation, hence the specific neural processes and functional networks involved. To this end, EEG activity was continuously recorded from 18 right-handed healthy participants while they performed a simple motor task consisting of button presses with the left or right index finger. The movement was performed either in response to a visual cue or at a self-chosen, i.e., non-cued point in time. Despite these substantial differences in movement initiation, dynamic properties of the EEG signals common to both conditions could be identified using time-frequency and phase locking analysis of the EEG data. In both conditions, a significant phase locking effect was observed that started prior to the movement onset in the δ-θ frequency band (2-7Hz), and that was strongest at the electrodes nearest to the contralateral motor region (M1). This phase locking effect did not have a counterpart in the corresponding power spectra (i.e., amplitudes), or in the event-related potentials. Our finding suggests that phase locking in the δ-θ frequency band is a ubiquitous movement-related signal independent of how the actual movement has been initiated. We therefore suggest that phase-locked neural oscillations in the motor cortex are a prerequisite for the preparation and execution of motor actions.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Externally triggered motor action; Finger tapping; Movement initiation; Voluntary motor action

Mesh:

Year:  2016        PMID: 27374370     DOI: 10.1016/j.neuroimage.2016.06.052

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


  8 in total

1.  Attention Periodically Binds Visual Features As Single Events Depending on Neural Oscillations Phase-Locked to Action.

Authors:  Ryohei Nakayama; Isamu Motoyoshi
Journal:  J Neurosci       Date:  2019-03-18       Impact factor: 6.167

Review 2.  The Common Rhythm of Action and Perception.

Authors:  Alessandro Benedetto; Maria Concetta Morrone; Alice Tomassini
Journal:  J Cogn Neurosci       Date:  2019-06-18       Impact factor: 3.225

3.  Continuous Decoding of Hand Movement From EEG Signals Using Phase-Based Connectivity Features.

Authors:  Seyyed Moosa Hosseini; Vahid Shalchyan
Journal:  Front Hum Neurosci       Date:  2022-06-30       Impact factor: 3.473

4.  Age-related changes in oscillatory power affect motor action.

Authors:  Liqing Liu; Nils Rosjat; Svitlana Popovych; Bin A Wang; Azamat Yeldesbay; Tibor I Toth; Shivakumar Viswanathan; Christian B Grefkes; Gereon R Fink; Silvia Daun
Journal:  PLoS One       Date:  2017-11-27       Impact factor: 3.240

5.  Brain regions associated with periodic leg movements during sleep in restless legs syndrome.

Authors:  Tae-Joon Kim; Kwang Su Cha; Sanghun Lee; Tae-Won Yang; Keun Tae Kim; Byeong-Su Park; Jin-Sun Jun; Jung-Ah Lim; Jung-Ick Byun; Jun-Sang Sunwoo; Jung-Won Shin; Kyung Hwan Kim; Sang Kun Lee; Ki-Young Jung
Journal:  Sci Rep       Date:  2020-01-31       Impact factor: 4.379

6.  Behavioral and physiological correlates of kinetically tracking a chaotic target.

Authors:  Atsushi Takagi; Ryoga Furuta; Supat Saetia; Natsue Yoshimura; Yasuharu Koike; Ludovico Minati
Journal:  PLoS One       Date:  2020-09-18       Impact factor: 3.240

7.  Stimulus transformation into motor action: Dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects.

Authors:  Nils Rosjat; Bin A Wang; Liqing Liu; Gereon R Fink; Silvia Daun
Journal:  Hum Brain Mapp       Date:  2020-12-11       Impact factor: 5.038

8.  Topography of Movement-Related Delta and Theta Brain Oscillations.

Authors:  János Körmendi; Eszter Ferentzi; Béla Weiss; Zoltán Nagy
Journal:  Brain Topogr       Date:  2021-06-15       Impact factor: 3.020

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.