Magnetoencephalography abnormalities in adult mild traumatic brain injury: A systematic review.
Magnetoencephalography abnormalities in adult mild traumatic brain injury: A systematic review.
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DOI:
10.1016/j.nicl.2021.102697
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Evangelou N
中科院分区:
文献类型:
--
作者:
Allen CM;Halsey L;Topcu G;Rier L;Gascoyne LE;Scadding JW;Furlong PL;Dunkley BT;das Nair R;Brookes MJ;Evangelou N
Magnetoencephalography has higher sensitivity than clinical imaging to detect abnormalities in mild traumatic brain injury Excess resting state low frequency power is consistently detected following mild traumatic brain injury. There are widespread magnetoencephalography connectivity changes following mild traumatic brain injury. Machine learning techniques generate high classification accuracy when analysing magnetoencephalography data. Currently there is not enough evidence for routine clinical use of magnetoencephalography in mild traumatic brain injury 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). 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. 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. 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.
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影响因子:
5.7
作者:
Brookes MJ;Tewarie PK;Hunt BAE;Robson SE;Gascoyne LE;Liddle EB;Liddle PF;Morris PG
通讯作者:
Morris PG
DOI:
10.1016/j.nicl.2015.09.011
发表时间:
2015
期刊:
NeuroImage. Clinical
影响因子:
--
作者:
Dimitriadis SI;Zouridakis G;Rezaie R;Babajani-Feremi A;Papanicolaou AC
通讯作者:
Papanicolaou AC
影响因子:
1.9
作者:
Bazarian, JJ;Wong, T;Dombovy, M
通讯作者:
Dombovy, M
影响因子:
3
作者:
Antonakakis, Marios;Dimitriadis, Stavros I.;Papanicolaou, Andrew C.
通讯作者:
Papanicolaou, Andrew C.
影响因子:
4.7
作者:
Alamian G;Hincapié AS;Combrisson E;Thiery T;Martel V;Althukov D;Jerbi K
通讯作者:
Jerbi K