Mild traumatic brain injury impairs the coordination of intrinsic and motor-related neural dynamics

Abstract

Mild traumatic brain injury (mTBI) poses a considerable burden on healthcare systems. Whilst most patients recover quickly, a significant number suffer from sequelae that are not accompanied by measurable structural damage. Understanding the neural underpinnings of these debilitating effects and developing a means to detect injury, would address an important unmet clinical need. It could inform interventions and help predict prognosis. Magnetoencephalography (MEG) affords excellent sensitivity in probing neural function and presents significant promise for assessing mTBI, with abnormal neural oscillations being a potential specific biomarker. However, growing evidence suggests that neural dynamics are (at least in part) driven by transient, pan-spectral bursting and in this paper, we employ this model to investigate mTBI. We applied a Hidden Markov Model to MEG data recorded during resting state and a motor task and show that previous findings of diminished intrinsic beta amplitude in individuals with mTBI are largely due to the reduced beta band spectral content of bursts, and that diminished beta connectivity results from a loss in the temporal coincidence of burst states. In a motor task, mTBI results in diminished burst amplitude, altered modulation of burst probability during movement, and a loss in connectivity in motor networks. These results suggest that, mechanistically, mTBI disrupts the structural framework underlying neural synchrony, which impairs network function. Whilst the damage may be too subtle for structural imaging to see, the functional consequences are detectable and persist after injury. Our work shows that mTBI impairs the dynamic coordination of neural network activity and proposes a potent new method for understanding mTBI.

Publication DOI: https://doi.org/10.1016/j.nicl.2021.102841
Divisions: College of Health & Life Sciences > School of Psychology
College of Health & Life Sciences
Additional Information: © 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license Funding: We acknowledge the UK Medical Research Council (Confidence in Concept Scheme) - Grant Ref: MC_PC_17173 – for funding this work. LR was funded by a Ph.D. studentship awarded by the University of Nottingham. We also gratefully acknowledge research funding from the UK Engineering and Physical Sciences Research Council (EPSRC) for wider funding (grant numbers EP/T001046/1 and EP/V047264/1). We also acknowledge grants from Defence Research and Development Canada (DRDC), the Canadian Institute for Military and Veteran Health Research (CIMVHR), and the Innovation for Defence Excellence and Security (IDEaS) Program.
Uncontrolled Keywords: Beta bursts,Concussion,MEG,Networks,mTBI,mild Traumatic Brain Injury,Radiology Nuclear Medicine and imaging,Neurology,Clinical Neurology,Cognitive Neuroscience
Publication ISSN: 2213-1582
Last Modified: 28 May 2024 17:49
Date Deposited: 01 Oct 2021 15:25
Full Text Link:
Related URLs: https://www.sci ... 213158221002850 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2021-10
Published Online Date: 2021-10-01
Accepted Date: 2021-09-23
Authors: Rier, Lukas
Zamyadi, Rouzbeh
Zhang, Jing
Emami, Zahra
Seedat, Zelekha A.
Mocanu, Sergiu
Gascoyne, Lauren E.
Allen, Christopher M.
Scadding, John W
Furlong, Paul (ORCID Profile 0000-0002-9840-8586)
Gooding-Williams, Gerard
Woolrich, Mark W.
Evangelou, Nikos
Brookes, Matthew J.
Dunkley, Benjamin T.

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