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Neuroimage|March 30, 2011
Accurate reconstruction of temporal correlation for neuronal sources using the enhanced dual-core MEG beamformerMithun Diwakar, Omer Tal, Thomas T Liu, et al.
Neuroimage|July 21, 2010
Dual-Core Beamformer for obtaining highly correlated neuronal networks in MEGMithun Diwakar, Ming-Xiong Huang, Ramesh Srinivasan, et al.
The Journal of Head Trauma Rehabilitation|April 30, 2019
Brain Amygdala Volume Increases in Veterans and Active-Duty Military Personnel With Combat-Related Posttraumatic Stress Disorder and Mild Traumatic Brain InjuryJoel Pieper, Douglas G Chang, Sarah Z Mahasin, et al.
Journal of Neurotrauma|March 12, 2015
Abnormal White Matter Blood-Oxygen-Level-Dependent Signals in Chronic Mild Traumatic Brain InjurySerguei V Astafiev, Gordon L Shulman, Nicholas V Metcalf, et al.
Neuroimage. Clinical|September 3, 2014
Voxel-wise resting-state MEG source magnitude imaging study reveals neurocircuitry abnormality in active-duty service members and veterans with PTSDMing-Xiong Huang, Kate A Yurgil, Ashley Robb, et al.
Journal of Neurotrauma|October 21, 2016
Resting-State Magnetoencephalography Reveals Different Patterns of Aberrant Functional Connectivity in Combat-Related Mild Traumatic Brain InjuryMing-Xiong Huang, Deborah L Harrington, Ashley Robb Swan, et al.
Cerebral Cortex (New York, N.Y. : 1991)|April 19, 2018
MEG Working Memory N-Back Task Reveals Functional Deficits in Combat-Related Mild Traumatic Brain InjuryMing-Xiong Huang, Sharon Nichols, Ashley Robb-Swan, et al.
Neuroimage. Clinical|July 11, 2014
Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injuryMing-Xiong Huang, Sharon Nichols, Dewleen G Baker, et al.
Neuroimage|May 1, 2012
An automatic MEG low-frequency source imaging approach for detecting injuries in mild and moderate TBI patients with blast and non-blast causesMing-Xiong Huang, Sharon Nichols, Ashley Robb, et al.
Neuroimage|September 24, 2013
MEG source imaging method using fast L1 minimum-norm and its applications to signals with brain noise and human resting-state source amplitude imagesMing-Xiong Huang, Charles W Huang, Ashley Robb, et al.
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