Sahil Bajaj, Ph.D.

Sahil Bajaj , Ph.D.


Sahil Bajaj, Ph.D. is the Director of the Multimodal Clinical Neuroimaging Laboratory (MCNL) at the Center for Neurobehavioral Research. Over the past 11 years, Dr. Bajaj has been working in the field of neuroimaging, including diffusion-weighted imaging, brain morphometry, and brain connectivity techniques (functional, structural, and directional: Granger causality and dynamic causal modelling). Dr. Bajaj has applied his expertise in these methods towards understanding the basic neural mechanisms of healthy and clinical populations — particularly individuals suffering from stroke, mood disorders, sleep disorders, and mild traumatic brain injury (mTBI).

Dr. Bajaj received his doctoral degree in Physics from Georgia State University (GSU) in 2015 under the supervision of Dr. Mukesh Dhamala and Dr. Andrew J. Butler. At GSU, he explored the impact of mental practice/imagination and physical therapy on brain connectivity of stroke survivors. Dr. Bajaj joined the Neuroimaging Laboratory at Houston Methodist Research Hospital for his postdoctoral studies in 2015 under the supervision of Dr. Joseph Masdeu where he used the dynamic contrast-enhanced MRI technique to compare the blood-brain barrier thickness between young and old individuals.

Prior to joining Boys Town National Research Hospital, Dr. Bajaj worked at the SCAN Laboratory at the University of Arizona under the supervision of Dr. William D.S. Killgore. At the SCAN Lab he studied the impact of blue-wavelength light therapy on brain structure and function following mTBI. He also examined the neural mechanisms of healthy aging, suicidal ideation, and mood degradation following sleep deprivation. Dr. Bajaj has authored 22 peer-reviewed publications, more than 45 first/senior author conference abstracts, and presented his work at more than 30 national and international conferences/research institutes.

Research Interests

Dr. Bajaj’s primary research interests include studying the neural basis of psychiatric distress using cutting-edge computational data analysis techniques,​ such as small and large-scale brain connectivity (functional: directed functional and effective, and structural: diffusion-weighted imaging) and brain morphometry techniques to identify the affected neural circuits of clinical, sub-clinical, and healthy human populations. His research work/interests have been clinically focused throughout his graduate and postdoctoral studies and have been in close collaboration with neuroscientists, therapists, neurologists, psychologists, psychiatrists, and experts in the field of brain connectivity.


Killgore, W.D.S., Vanuk, J.R., Shane, B.R., Weber, M., & Bajaj, S. (2020). A randomized, double-blind, placebo-controlled trial of blue wavelength light exposure on sleep and recovery of brain structure, function, and cognition following mild traumatic brain injury. Neurobiology of Disease. 134: 104679. doi:

Bajaj, S. & Killgore, W.D.S. (2019). Vulnerability to mood degradation during sleep deprivation is influenced by  white matter integrity. NeuroImage. 202:116123. doi:

Bajaj, S. & Killgore, W.D.S. (2019). Sex differences in limbic network and risk-taking propensity in healthy individuals. Journal of Neuroscience Research. 98(2): 371-383. doi:

Bajaj, S., Raikes, A.C., Smith, R., Vanuk, J.R. & Killgore, W.D.S. (2019). The role of prefrontal cortical surface area and volume in preclinical suicidal ideation in a non-clinical sample. Frontiers in Psychiatry. 10:445. doi:

Bajaj, S., Dailey, N.S., Rosso, I.M., Rauch, S.L., & Killgore, W.D.S. (2018). Time‐dependent differences in cortical measures and their associations with behavioral measures following mild traumatic brain injury. Human Brain Mapping. 39(5): 1886-97. doi:

Bajaj, S., Adhikari, B.M., Friston, K.J., & Dhamala, M. (2016). Bridging the gap: Dynamical causal modeling and Granger causality analysis of resting state functional magnetic resonance imaging. Brain Connectivity. 6(8): 652-661. doi:

Bajaj, S., Housley, N., Wu, D., Dhamala, M., James, G.A., Butler, A.J. (2016). Dominance of the unaffected hemisphere motor network and its role in the behavior of chronic stroke survivors. Frontiers in Human Neuroscience. 10:650. doi: