Page 314 - MEGIN Book Of Abstracts - 2023

Department of Neurosurgery, University of Texas Health Department of Radiology, University of California, San Diego,
San Antonio, San Antonio, TX 78229, USA; Department of California, USA; Department of Bioengineering, Stanford
Neurology, University of Utah, Salt Lake City, UT 84132, USA; University, Stanford, California, USA; Department of Neu-
Department of Neurosurgery, Clinical Neurosciences Center, rosciences, University of California, San Diego, California,
University of Utah, Salt Lake City, UT 84132, USA USA; Department of Computer Science, Columbia University,
New York, New York, USA; ASPIRE Center, VASDHS Residential
ABSTRACT Magnetoencephalography (MEG) is a Rehabilitation Treatment Program, San Diego, California,
functional brain imaging technique with high tem- USA; Cedar Sinai Medical Group Chronic Pain Program,
poral resolution compared with techniques that rely Beverly Hills, California, USA; Department of Computer Sci-
on metabolic coupling. MEG has an important role in ence and Engineering, University of California, San Diego,
traumatic brain injury (TBI) research, especially in mild California, USA; Radiology, Research, and Psychiatry Services,
TBI, which may not have detectable features in con- VA San Diego Healthcare System, San Diego, California, USA;
ventional, anatomical imaging techniques. This review Department of Psychological Sciences, Loyola University New
addresses the original research articles to date that Orleans, Louisiana, USA; Department of Pathology, Univer-
have reported on the use of MEG in TBI. Specifically, the sity of California, San Diego, California, USA; Department of
included studies have demonstrated the utility of MEG Physics, University of California, San Diego, California, USA;
in the detection of TBI, characterization of brain con- Department of Psychiatry, University of California, San Diego,
nectivity abnormalities associated with TBI, correlation California, USA
of brain signals with post-concussive symptoms, differ-
entiation of TBI from post-traumatic stress disorder, and ABSTRACT Combat-related mild traumatic brain injury
monitoring the response to TBI treatments. Although (cmTBI) is a leading cause of sustained physical, cogni-
presently the utility of MEG is mostly limited to research tive, emotional, and behavioral disabilities in Veterans
in TBI, a clinical role for MEG in TBI may become evident and active-duty military personnel. Accurate diagnosis
with further investigation. of cmTBI is challenging since the symptom spectrum
is broad and conventional neuroimaging techniques
Keywords: concussion, functional neuroimaging, magne- are insensitive to the underlying neuropathology.
toencephalography, traumatic brain injury The present study developed a novel deep-learning
neural network method, 3D-MEGNET, and applied it
Medical sciences (Basel, Switzerland) (2021), Vol. 9, No. 1 to resting-state magnetoencephalography (rs-MEG)
(33557219) (1 citation) source-magnitude imaging data from 59 symptomatic
cmTBI individuals and 42 combat-deployed healthy
controls (HCs). Analytic models of individual frequency
Resting-state magnetoencephalography source bands and all bands together were tested. The All-
magnitude imaging with deep-learning neural frequency model, which combined delta-theta (1-7 Hz),
network for classification of symptomatic combat- alpha (8-12 Hz), beta (15-30 Hz), and gamma (30-80 Hz)
related mild traumatic brain injury (2021) frequency bands, outperformed models based on indi-
vidual bands. The optimized 3D-MEGNET method dis-
Huang, Ming-Xiong; Huang, Charles W; Harrington, tinguished cmTBI individuals from HCs with excellent
Deborah L; Robb-Swan, Ashley; Angeles-Quinto, sensitivity (99.9 ± 0.38%) and specificity (98.9 ± 1.54%).
Annemarie; Nichols, Sharon; Huang, Jeffrey W; Le, Lu; Receiver-operator-characteristic curve analysis showed
Rimmele, Carl; Matthews, Scott; Drake, Angela; Song, that diagnostic accuracy was 0.99. The gamma and
Tao; Ji, Zhengwei; Cheng, Chung-Kuan; Shen, Qian; delta-theta band models outperformed alpha and beta
Foote, Ericka; Lerman, Imanuel; Yurgil, Kate A; Hansen, band models. Among cmTBI individuals, but not con-
Hayden B; Naviaux, Robert K; Dynes, Robert; Baker, trols, hyper delta-theta and gamma-band activity cor-
Dewleen G; Lee, Roland R related with lower performance on neuropsychological
tests, whereas hypo alpha and beta-band activity also

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