Combat-related mild Traumatic brain injury (mTBI) is a leading cause of sustained physical, cognitive, emotional, and behavioral deficits in military service members, OEF/OIF/OND veterans, and generals public. Recent studies have also showed that mTBI substantially increases the risk of developing post-traumatic stress disorder (PTSD). However, the pathophysiology of mTBI is not completely understood and its long-term effects are controversial. Furthermore, the neuronal mechanisms for mTBI potentiating the likelihood of PTSD development are even less clear. A significant factor has been that conventional neuroimaging techniques such as MRI and CT have limited sensitivity in detecting physiological abnormalities caused by mTBI or PTSD, or predicting long-term cognitive and behavioral outcomes. CT and MRI are generally negative even in mTBI or PTSD patients who experience persistent post-concussive symptoms (PCS) and/or PTSD symptoms. A main goal of this application is to develop and validate a voxel-wise resting-state magnetoencephalography (rs-MEG) source imaging technique that will identify abnormalities and assist in the diagnosis of mTBI patients with and without PTSD on a single-subject basis. We will also apply rs-MEG source imaging to examine the abnormality in PTSD neurocircuitry in different frequency bands, and to use rs-MEG to investigate the neuroimaging basis of mTBI's potentiation of PTSD. We will study four groups of veterans (N=50 per group): 1) veterans diagnosed with mTBI without PTSD (mTBI-only group); 2) veterans diagnosed with PTSD without mTBI (PTSD-only group); 3) veterans diagnosed with comorbid mTBI and PTSD; 4) healthy control (HC) veterans.
Specific Aim 1 will develop and validate a single-subject based, voxel-wise, MEG slow-wave (delta-band, 1-4 Hz) source imaging approach for assisting in mTBI diagnosis by detecting neuronal abnormalities not visible with conventional MRI/CT. We will establish a voxel-wise normative database for the rs-MEG slow-wave imaging approach using data from HC veterans, and assess specificity by cross-validating MEG data in a sample of HCs that are not part of the database. A non-parametric method based on bootstrapping will be studied to expand our analysis to voxels that fail to meet the required Gaussian distribution. We will then examine the positive detection rate (i.e., sensitivity) and test-retest-reliability of the MEG slow-wave source imaging approach for detecting injuries in veterans from mTBI-only and comorbid mTBI-PTSD groups. The spatial distribution of the abnormal MEG slow-wave generation will also be studied at the group level to identify the brain areas that are particularly vulnerable to mTBI.
Specific Aim 2 will use rs-MEG source imaging to examine abnormalities in PTSD-based neurocircuitry and to investigate the neural basis of mTBI's potentiation of PTSD development. In PTSD-only and comorbid groups, we will examine whether a model of PTSD associated with dysfunction in emotion processing neurocircuitry (i.e., amygdala, ventro-medial prefrontal cortex (vmPFC), and hippocampus), can account for abnormalities detected by electromagnetic-based rs-MEG source imaging techniques for different frequency bands. We will also study the relationship between abnormal MEG signals in high-frequency bands from PTSD neurocircuitry and co-existing abnormal MEG slow-wave generation due to mTBI.
Specific Aim 3 will use voxel-wise MEG source imaging to examine the neurophysiological basis of clinical symptoms and cognitive impairments in veterans with mTBI and/or PTSD. The success of this project will significantly improve neuroimaging-based techniques for efficient diagnosis of mTBI, and advance the understanding of the relationships among neurobiological, neuropsychological, and neuropsychiatric effects of mTBI, which are the foci of this Request for Applications.
The 'development and validation of efficient diagnostic criteria and treatment milestones for mild TBI, including diagnostic imaging technology', and 'understanding the relationships between neurobiology and neuropsychological/behavioral effects of TBI' are crucial to VA research and listed as key interests in the present RFA. The present application will directly address these key research interests in OEF/OIF/OND veterans by: 1) developing and validating a single-subject based, voxel-wise, whole-brain MEG slow-wave (delta-band, 1-4 Hz) source imaging approach for assisting in mild TBI diagnosis, through detecting neuronal abnormalities not visible with conventional neuroimaging methods; 2) using MEG source imaging to examine the abnormality in PTSD neurocircuitry and to investigate the neuroimaging basis of mild TBI's potentiation of PTSD development; and 3) use voxel-wise MEG source imaging to examine the neurophysiological basis of clinical symptoms and cognitive impairments in veterans with mild TBI and/or PTSD.
|Huang, Ming-Xiong; Nichols, Sharon; Robb-Swan, Ashley et al. (2018) MEG Working Memory N-Back Task Reveals Functional Deficits in Combat-Related Mild Traumatic Brain Injury. Cereb Cortex :|
|Edgar, J Christopher; Fisk IV, Charles L; Chen, Yu-Han et al. (2017) By our bootstraps: Comparing methods for measuring auditory 40 Hz steady-state neural activity. Psychophysiology 54:1110-1127|
|Huang, Ming-Xiong; Anderson, Bill; Huang, Charles W et al. (2017) Development of advanced signal processing and source imaging methods for superparamagnetic relaxometry. Phys Med Biol 62:734-757|
|Huang, Ming-Xiong; Harrington, Deborah L; Robb Swan, Ashley et al. (2017) Resting-State Magnetoencephalography Reveals Different Patterns of Aberrant Functional Connectivity in Combat-Related Mild Traumatic Brain Injury. J Neurotrauma 34:1412-1426|
|Huang, Ming-Xiong; Swan, Ashley Robb; Quinto, Annemarie Angeles et al. (2017) A pilot treatment study for mild traumatic brain injury: Neuroimaging changes detected by MEG after low-intensity pulse-based transcranial electrical stimulation. Brain Inj 31:1951-1963|
|Huang, Mingxiong; Risling, Mårten; Baker, Dewleen G (2016) The role of biomarkers and MEG-based imaging markers in the diagnosis of post-traumatic stress disorder and blast-induced mild traumatic brain injury. Psychoneuroendocrinology 63:398-409|
|Huang, Charles W; Huang, Ming-Xiong; Ji, Zhengwei et al. (2016) High-resolution MEG source imaging approach to accurately localize Broca's area in patients with brain tumor or epilepsy. Clin Neurophysiol 127:2308-16|
|Robb Swan, Ashley; Nichols, Sharon; Drake, Angela et al. (2015) Magnetoencephalography Slow-Wave Detection in Patients with Mild Traumatic Brain Injury and Ongoing Symptoms Correlated with Long-Term Neuropsychological Outcome. J Neurotrauma 32:1510-21|
|Huang, Ming-Xiong; Nichols, Sharon; Baker, Dewleen G et al. (2014) Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury. Neuroimage Clin 5:109-19|
|Huang, Ming-Xiong; Huang, Charles W; Robb, Ashley et al. (2014) MEG source imaging method using fast L1 minimum-norm and its applications to signals with brain noise and human resting-state source amplitude images. Neuroimage 84:585-604|
Showing the most recent 10 out of 12 publications