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Patient-tailored Connectomics Visualization for the Assessment of White Matter Atrophy in Traumatic Brain Injury

Institution:
1Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA.
2Brain Injury Research Center, Departments of Neurology and Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA.
3Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
4Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA.
5Surgical Planning Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA.
Publication Date:
Feb-2012
Journal:
Front. Neur.
Volume Number:
3
Issue Number:
10
Pages:
1-21
Citation:
Front. Neur. 2012 Feb; 3(10):1-21.
PubMed ID:
22363313
PMCID:
PMC3275792
Keywords:
Connectomics, traumatic brain injury, Atrophy, rehabilitation, DTI
Appears in Collections:
NA-MIC, NAC, SLICER, SPL
Sponsors:
U54 EB005149/EB/NIBIB NIH HHS/United States
P01 NS058489/NS/NINDS NIH HHS/United States
Generated Citation:
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. Patient-tailored Connectomics Visualization for the Assessment of White Matter Atrophy in Traumatic Brain Injury. Front. Neur. 2012 Feb; 3(10):1-21. PMID: 22363313. PMCID: PMC3275792.
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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 TBI-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 neurophysiological and neuropsychological 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.

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Irimia-FrontNeur2012-fig3.jpg (206.431kB)