Investigating the role of alpha and beta rhythms in functional motor networks

Alkinoos Athanasiou, Manousos A Klados, Charis Styliadis, Nicolas Foroglou, Konstantinos Polyzoidis, Panagiotis D Bamidis

Research output: Contribution to journalSpecial issue

Abstract

It is recognized that lower electroencephalography (EEG) frequencies correspond to distributed brain activity over larger spatial regions than higher frequencies and are associated with coordination. In motor processes it has been suggested that this is not always the case. Our objective was to explore this contradiction. In our study, seven healthy subjects performed four motor tasks (execution and imagery of right hand and foot) under EEG recording. Two cortical source models were defined, model «A» with 16 regions of interest (ROIs) and model «B» with 20 ROIs over the sensorimotor cortex. Functional connectivity was calculated by Directed Transfer Function for alpha and beta rhythm networks. Four graph properties were calculated for each network: characteristic path length (CPL), clustering coefficient (CC), density (D) and small-world-ness (SW). Different network modules and in-degrees of nodes were also calculated and depicted in connectivity maps. Analysis of variance was used to determine statistical significance of observed differences in the network properties between tasks, between rhythms and between ROI models. Consistently on both models, CPL and CC were lower and D was higher in beta rhythm networks. No statistically significant difference was observed for SW between rhythms or for any property between tasks on any model. Comparing the models we observed lower CPL for both rhythms, lower CC in alpha and higher CC in beta when the number of ROIs increased. Also, denser networks with higher SW were correlated with higher number of ROIs. We propose a non-exclusive model where alpha rhythm uses greater wiring costs to engage in local information progression while beta rhythm coordinates the neurophysiological processes in sensorimotor tasks.

Original languageEnglish
JournalNeuroscience
Early online date27 May 2016
DOIs
Publication statusE-pub ahead of print - 27 May 2016

Fingerprint

Beta Rhythm
Alpha Rhythm
Cluster Analysis
Electroencephalography
Imagery (Psychotherapy)
Foot
Analysis of Variance
Healthy Volunteers
Hand
Costs and Cost Analysis
Brain

Keywords

  • Brain waves
  • Electroencephalography
  • Functional connectivity
  • Motor imagery
  • Motor network
  • Sensorimotor cortex

Cite this

Athanasiou, Alkinoos ; Klados, Manousos A ; Styliadis, Charis ; Foroglou, Nicolas ; Polyzoidis, Konstantinos ; Bamidis, Panagiotis D. / Investigating the role of alpha and beta rhythms in functional motor networks. In: Neuroscience. 2016.
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Investigating the role of alpha and beta rhythms in functional motor networks. / Athanasiou, Alkinoos; Klados, Manousos A; Styliadis, Charis; Foroglou, Nicolas; Polyzoidis, Konstantinos; Bamidis, Panagiotis D.

In: Neuroscience, 27.05.2016.

Research output: Contribution to journalSpecial issue

TY - JOUR

T1 - Investigating the role of alpha and beta rhythms in functional motor networks

AU - Athanasiou, Alkinoos

AU - Klados, Manousos A

AU - Styliadis, Charis

AU - Foroglou, Nicolas

AU - Polyzoidis, Konstantinos

AU - Bamidis, Panagiotis D

N1 - Copyright © 2016 IBRO. Published by Elsevier Ltd. All rights reserved.

PY - 2016/5/27

Y1 - 2016/5/27

N2 - It is recognized that lower electroencephalography (EEG) frequencies correspond to distributed brain activity over larger spatial regions than higher frequencies and are associated with coordination. In motor processes it has been suggested that this is not always the case. Our objective was to explore this contradiction. In our study, seven healthy subjects performed four motor tasks (execution and imagery of right hand and foot) under EEG recording. Two cortical source models were defined, model «A» with 16 regions of interest (ROIs) and model «B» with 20 ROIs over the sensorimotor cortex. Functional connectivity was calculated by Directed Transfer Function for alpha and beta rhythm networks. Four graph properties were calculated for each network: characteristic path length (CPL), clustering coefficient (CC), density (D) and small-world-ness (SW). Different network modules and in-degrees of nodes were also calculated and depicted in connectivity maps. Analysis of variance was used to determine statistical significance of observed differences in the network properties between tasks, between rhythms and between ROI models. Consistently on both models, CPL and CC were lower and D was higher in beta rhythm networks. No statistically significant difference was observed for SW between rhythms or for any property between tasks on any model. Comparing the models we observed lower CPL for both rhythms, lower CC in alpha and higher CC in beta when the number of ROIs increased. Also, denser networks with higher SW were correlated with higher number of ROIs. We propose a non-exclusive model where alpha rhythm uses greater wiring costs to engage in local information progression while beta rhythm coordinates the neurophysiological processes in sensorimotor tasks.

AB - It is recognized that lower electroencephalography (EEG) frequencies correspond to distributed brain activity over larger spatial regions than higher frequencies and are associated with coordination. In motor processes it has been suggested that this is not always the case. Our objective was to explore this contradiction. In our study, seven healthy subjects performed four motor tasks (execution and imagery of right hand and foot) under EEG recording. Two cortical source models were defined, model «A» with 16 regions of interest (ROIs) and model «B» with 20 ROIs over the sensorimotor cortex. Functional connectivity was calculated by Directed Transfer Function for alpha and beta rhythm networks. Four graph properties were calculated for each network: characteristic path length (CPL), clustering coefficient (CC), density (D) and small-world-ness (SW). Different network modules and in-degrees of nodes were also calculated and depicted in connectivity maps. Analysis of variance was used to determine statistical significance of observed differences in the network properties between tasks, between rhythms and between ROI models. Consistently on both models, CPL and CC were lower and D was higher in beta rhythm networks. No statistically significant difference was observed for SW between rhythms or for any property between tasks on any model. Comparing the models we observed lower CPL for both rhythms, lower CC in alpha and higher CC in beta when the number of ROIs increased. Also, denser networks with higher SW were correlated with higher number of ROIs. We propose a non-exclusive model where alpha rhythm uses greater wiring costs to engage in local information progression while beta rhythm coordinates the neurophysiological processes in sensorimotor tasks.

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KW - Electroencephalography

KW - Functional connectivity

KW - Motor imagery

KW - Motor network

KW - Sensorimotor cortex

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U2 - 10.1016/j.neuroscience.2016.05.044

DO - 10.1016/j.neuroscience.2016.05.044

M3 - Special issue

JO - Neuroscience

JF - Neuroscience

SN - 0306-4522

ER -