Literature DB >> 28576727

Reconfiguration of dominant coupling modes in mild traumatic brain injury mediated by δ-band activity: A resting state MEG study.

Marios Antonakakis1, Stavros I Dimitriadis2, Michalis Zervakis3, Andrew C Papanicolaou4, George Zouridakis5.   

Abstract

During the last few years, rich-club (RC) organization has been studied as a possible brain-connectivity organization model for large-scale brain networks. At the same time, empirical and simulated data of neurophysiological models have demonstrated the significant role of intra-frequency and inter-frequency coupling among distinct brain areas. The current study investigates further the importance of these couplings using recordings of resting-state magnetoencephalographic activity obtained from 30 mild traumatic brain injury (mTBI) subjects and 50 healthy controls. Intra-frequency and inter-frequency coupling modes are incorporated in a single graph to detect group differences within individual rich-club subnetworks (type I networks) and networks connecting RC nodes with the rest of the nodes (type II networks). Our results show a higher probability of inter-frequency coupling for (δ-γ1), (δ-γ2), (θ-β), (θ-γ2), (α-γ2), (γ1-γ2) and intra-frequency coupling for (γ1-γ1) and (δ-δ) for both type I and type II networks in the mTBI group. Additionally, mTBI and control subjects can be correctly classified with high accuracy (98.6%), whereas a general linear regression model can effectively predict the subject group using the ratio of type I and type II coupling in the (δ, θ), (δ, β), (δ, γ1), and (δ, γ2) frequency pairs. These findings support the presence of an RC organization simultaneously with dominant frequency interactions within a single functional graph. Our results demonstrate a hyperactivation of intrinsic RC networks in mTBI subjects compared to controls, which can be seen as a plausible compensatory mechanism for alternative frequency-dependent routes of information flow in mTBI subjects.
Copyright © 2017 IBRO. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  brain network models; cross-frequency coupling; intrinsic networks; magnetoencephalography (MEG); mild traumatic brain injury (mTBI)

Mesh:

Year:  2017        PMID: 28576727     DOI: 10.1016/j.neuroscience.2017.05.032

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  8 in total

1.  Alterations in the Topology of Functional Connectomes Are Associated with Post-Traumatic Stress Disorder and Blast-Related Mild Traumatic Brain Injury in Combat Veterans.

Authors:  Jared A Rowland; Jennifer R Stapleton-Kotloski; Sarah L Martindale; Emily E Rogers; Anna S Ord; Dwayne W Godwin; Katherine H Taber
Journal:  J Neurotrauma       Date:  2021-11-15       Impact factor: 5.269

2.  How to Build a Functional Connectomic Biomarker for Mild Cognitive Impairment From Source Reconstructed MEG Resting-State Activity: The Combination of ROI Representation and Connectivity Estimator Matters.

Authors:  Stavros I Dimitriadis; María E López; Ricardo Bruña; Pablo Cuesta; Alberto Marcos; Fernando Maestú; Ernesto Pereda
Journal:  Front Neurosci       Date:  2018-06-01       Impact factor: 5.152

3.  Reliability of Static and Dynamic Network Metrics in the Resting-State: A MEG-Beamformed Connectivity Analysis.

Authors:  Stavros I Dimitriadis; Bethany Routley; David E Linden; Krish D Singh
Journal:  Front Neurosci       Date:  2018-08-03       Impact factor: 4.677

4.  A Dose Relationship Between Brain Functional Connectivity and Cumulative Head Impact Exposure in Collegiate Water Polo Players.

Authors:  Derek C Monroe; Nicholas J Cecchi; Paul Gerges; Jenna Phreaner; James W Hicks; Steven L Small
Journal:  Front Neurol       Date:  2020-04-02       Impact factor: 4.003

5.  Aberrant Whole-Brain Transitions and Dynamics of Spontaneous Network Microstates in Mild Traumatic Brain Injury.

Authors:  Marios Antonakakis; Stavros I Dimitriadis; Michalis Zervakis; Andrew C Papanicolaou; George Zouridakis
Journal:  Front Comput Neurosci       Date:  2020-01-15       Impact factor: 2.380

Review 6.  Magnetoencephalography in the Detection and Characterization of Brain Abnormalities Associated with Traumatic Brain Injury: A Comprehensive Review.

Authors:  Geoffrey W Peitz; Elisabeth A Wilde; Ramesh Grandhi
Journal:  Med Sci (Basel)       Date:  2021-02-04

7.  Default Mode Network Oscillatory Coupling Is Increased Following Concussion.

Authors:  Benjamin T Dunkley; Karolina Urban; Leodante Da Costa; Simeon M Wong; Elizabeth W Pang; Margot J Taylor
Journal:  Front Neurol       Date:  2018-04-26       Impact factor: 4.003

8.  Typical and Aberrant Functional Brain Flexibility: Lifespan Development and Aberrant Organization in Traumatic Brain Injury and Dyslexia.

Authors:  Stavros I Dimitriadis; Panagiotis G Simos; Jack Μ Fletcher; Andrew C Papanicolaou
Journal:  Brain Sci       Date:  2019-12-16
  8 in total

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