Christopher M. Allen
Magnetoencephalography abnormalities in adult mild traumatic brain injury: A systematic review
Allen, Christopher M.; Halsey, Lloyd; Topcu, Gogem; Rier, Lukas; Gascoyne, Lauren E.; Scadding, John W.; Furlong, Paul L.; Dunkley, Benjamin T.; das Nair, Roshan; Brookes, Matthew J.; Evangelou, Nikos
Authors
Lloyd Halsey
Dr GOGEM TOPCU GOGEM.TOPCU@NOTTINGHAM.AC.UK
PROGRAMME MANAGER (NEUROMS)
Dr LUKAS RIER Lukas.Rier@nottingham.ac.uk
RESEARCH FELLOW
Dr LAUREN GASCOYNE LAUREN.GASCOYNE@NOTTINGHAM.AC.UK
TECHNICAL SPECIALIST
John W. Scadding
Paul L. Furlong
Benjamin T. Dunkley
Professor Roshan Nair Roshan.dasnair@nottingham.ac.uk
PROFESSOR OF CLINICAL PSYCHOLOGY AND NEUROPSYCHOLOGY
Professor MATTHEW BROOKES MATTHEW.BROOKES@NOTTINGHAM.AC.UK
PROFESSOR OF PHYSICS
Dr NIKOS EVANGELOU Nikos.Evangelou@nottingham.ac.uk
CLINICAL PROFESSOR
Abstract
Background: The global incidence of traumatic brain injuries is rising, with at least 80% being classified as mild. These mild injuries are not visible on routine clinical imaging. The potential clinical role of a specific imaging biomarker be it diagnostic, prognostic or directing and monitoring progress of personalised treatment and rehabilitation has driven the exploration of several new neuroimaging modalities. This systematic review examined the evidence for magnetoencephalography (MEG) to provide an imaging biomarker in mild traumatic brain injury (mTBI). Methods: Our review was prospectively registered on PROSPERO: CRD42019151387. We searched EMBASE, MEDLINE, trial registers, PsycINFO, Cochrane Library and conference abstracts and identified 37 papers describing MEG changes in mTBI eligible for inclusion. Since meta-analysis was not possible, based on the heterogeneity of reported outcomes, we provide a narrative synthesis of results. Results: The two most promising MEG biomarkers are excess resting state low frequency power, and widespread connectivity changes in all frequency bands. These may represent biomarkers with potential for diagnostic application, which reflect time sensitive changes, or may be capable of offering clinically relevant prognostic information. In addition, the rich data that MEG produces are well-suited to new methods of machine learning analysis, which is now being actively explored. Interpretation: MEG reveals several promising biomarkers, in the absence of structural abnormalities demonstrable with either computerised tomography or magnetic resonance imaging. This review has not identified sufficient evidence to support routine clinical use of MEG in mTBI currently. However, verifying MEG's potential would help meet an urgent clinical need within civilian, sports and military medicine.
Citation
Allen, C. M., Halsey, L., Topcu, G., Rier, L., Gascoyne, L. E., Scadding, J. W., Furlong, P. L., Dunkley, B. T., das Nair, R., Brookes, M. J., & Evangelou, N. (2021). Magnetoencephalography abnormalities in adult mild traumatic brain injury: A systematic review. NeuroImage: Clinical, 31, Article 102697. https://doi.org/10.1016/j.nicl.2021.102697
| Journal Article Type | Article |
|---|---|
| Acceptance Date | May 6, 2021 |
| Online Publication Date | May 8, 2021 |
| Publication Date | May 8, 2021 |
| Deposit Date | Jun 30, 2021 |
| Publicly Available Date | Jun 30, 2021 |
| Journal | NeuroImage: Clinical |
| Electronic ISSN | 2213-1582 |
| Publisher | Elsevier |
| Peer Reviewed | Peer Reviewed |
| Volume | 31 |
| Article Number | 102697 |
| DOI | https://doi.org/10.1016/j.nicl.2021.102697 |
| Keywords | Cognitive Neuroscience; Radiology Nuclear Medicine and imaging; Neurology; Clinical Neurology |
| Public URL | https://nottingham-repository.worktribe.com/output/5522063 |
| Publisher URL | https://www.sciencedirect.com/science/article/pii/S2213158221001418?via%3Dihub |
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Magnetoencephalography abnormalities in adult mild traumatic brain injury: A systematic review
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