The fact that traumatic brain injury (TBI) is a major cause of long-term disability for young adults underscores the need to conceptualize coping with TBI as a life-long process of recovery and rehabilitation. Successful characterization of neuropathologic markers over the evolving course of recovery will become an essential step toward developing more effective prognostication and intervention. While it is well established that behavioral outcome measures show significant improvements over months and even years after the injury, the underlying neural mechanisms of such recovery are not well understood. With the recent advances of in vivo neuroimaging, it may now be possible to more accurately measure the initial injury pathology and to shed light on the mechanisms of the natural recovery process in a longitudinal design. However, challenges in image analyses have hampered TBI researchers from taking full advantage of new imaging modalities. Several major data analysis issues in TBI neuroimaging research are: 1) quantifying the consequences of diffuse and focal injuries, 2) registering heterogeneous brains into a common space, and 3) assessing structure-function relationship (e.g., diaschisis). We have recently demonstrated the feasibility of applying high-dimensional large deformation image registration method in solving these methodological challenges, identifying the regions showing structural and functional group differences between controls and TBI with unprecedented precision. Based on these preliminary work, the current project aims 1) to determine the pattern of longitudinal changes in structural and functional neuroimaging indices associated with moderate to severe diffuse axonal injury and their relationship with behavioral improvements, 2) to develop a neuropathologically based injury severity measure using longitudinal changes in the early post-acute phase, and 3) to develop a """"""""structure-function discrepancy"""""""" index, based on the difference between the integrity of structural and functional imaging measures obtained at different points of post-injury, and collect preliminary data on its relationship with behavioral recovery. We propose to evaluate 60 individuals with moderate to severe diffuse TBI in the post-acute phase with structural (gross volume change and white matter integrity) and functional (cerebral perfusion and functional connectivity) neuroimaging measures at multiple time points (3, 6, and 12 months from the date of injury). Thirty six demographically matched healthy control subjects will be evaluated for comparison purposes. To measure longitudinal improvements in behavior, a global behavioral outcome measure and a neuropsychological test battery consisting of five executive function tests will be administered at each time point.
PROJECT NARRATIVE Taking advantage of our innovative neuroimaging methods, this project will track the changes in structure and function of the brains in individuals with traumatic brain injury. These changes will be related to concurrent behavioral improvement. Results from this project will greatly benefit future research aiming to investigate the neural mechanisms of behavioral recovery, ultimately contributing the development of efficient intervention.
|Rabinowitz, Amanda R; Hart, Tessa; Whyte, John et al. (2018) Neuropsychological Recovery Trajectories in Moderate to Severe Traumatic Brain Injury: Influence of Patient Characteristics and Diffuse Axonal Injury. J Int Neuropsychol Soc 24:237-246|
|Rabinowitz, Amanda R; Hart, Tessa; Whyte, John et al. (2018) Neuropsychological Recovery Trajectories in Moderate to Severe Traumatic Brain Injury: Influence of Patient Characteristics and Diffuse Axonal Injury - Erratum. J Int Neuropsychol Soc :1|
|Solmaz, Berkan; Tunç, Birkan; Parker, Drew et al. (2017) Assessing connectivity related injury burden in diffuse traumatic brain injury. Hum Brain Mapp 38:2913-2922|
|Hart, Tessa; Rabinowitz, Amanda R; Whyte, John et al. (2017) Pre-injury assessment of everyday executive function in moderate to severe traumatic brain injury. Neuropsychol Rehabil :1-10|
|Ware, Jeffrey B; Hart, Tessa; Whyte, John et al. (2017) Inter-Subject Variability of Axonal Injury in Diffuse Traumatic Brain Injury. J Neurotrauma 34:2243-2253|
|Watanabe, Takanori; Tunc, Birkan; Parker, Drew et al. (2016) Label-Informed Non-negative Matrix Factorization with Manifold Regularization for Discriminative Subnetwork Detection. Med Image Comput Comput Assist Interv 9900:166-174|
|Kim, Junghoon; Parker, Drew; Whyte, John et al. (2014) Disrupted structural connectome is associated with both psychometric and real-world neuropsychological impairment in diffuse traumatic brain injury. J Int Neuropsychol Soc 20:887-96|
|Kim, Junghoon; Avants, Brian; Whyte, John et al. (2013) Methodological considerations in longitudinal morphometry of traumatic brain injury. Front Hum Neurosci 7:52|
|Duda, Jeffrey T; Detre, John A; Kim, Junghoon et al. (2013) Fusing functional signals by sparse canonical correlation analysis improves network reproducibility. Med Image Comput Comput Assist Interv 16:635-42|