||Irimia, Andrei; Chambers, Micah C.; Torgerson, Carinna M.; Filippou, Maria; Hovda, David A.; Alger, Jeffry R.; Toga, Arthur W.; Vespa, Paul M.; Kikinis, Ron; Van Horn, John D.
||Available approaches to the investigation of traumatic brain injury (TBI) are frequently hampered, to some extent, by the unsatisfactory abilities of existing methodologies to efficiently define and represent affected structural connectivity and functional mechanisms underlying TI-related pathology. In this paper, we describe a patient-tailored framework which allows mapping and characterization of TBI-related structural damage to the brain via multimodal neuroimaging and personalized connectomics. Specifically, we introduce a graphically driven approach for the assessment of trauma-related atrophy of white matter connections between cortical structures, with relevance to the quantification of TBI chronic case evolution. This approach allows one to inform the formulation of graphical neurophysiology and neurophysiology TBI profiles based on the particular structural deficits of the affected patient. In addition, it allows one to relate the findings supplied by our workflow to the existing body of research that focuses on the functional roles of the cortical structures being targeted. A graphical means for representing patient TBI status is relevant to the emerging field of personalized medicine and to the investigation of neural atrophy.
||Irimia, A., Chambers, M. C., Torgerson, C. M., Filippou, M., Hovda, D. A., Alger, J. R., Gerig, G., Toga, A. W., Vespa, P. M., Kikinis, R., & Van Horn, J. D. (2012). Patient-tailored connectomics visualization for the assessment of white matter atrophy in traumatic brain injury, Frontiers in Neurotrauma, 3(10), 1-21.