Irimia Andrei, Chambers Micah C, Torgerson Carinna M, Filippou Maria, Hovda David A, Alger Jeffry R, Gerig Guido, Toga Arthur W, Vespa Paul M, Kikinis Ron, Van Horn John D
Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles Los Angeles, CA, USA.
Front Neurol. 2012 Feb 6;3:10. doi: 10.3389/fneur.2012.00010. eCollection 2012.
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.
创伤性脑损伤（TBI）的现有研究方法常常在一定程度上受到阻碍，因为现有方法在有效定义和呈现TBI相关病理学基础上受影响的结构连接性和功能机制方面能力欠佳。在本文中，我们描述了一个针对患者定制的框架，该框架允许通过多模态神经成像和个性化连接组学对TBI相关的脑部结构损伤进行映射和表征。具体而言，我们引入了一种图形驱动的方法来评估皮质结构之间白质连接的创伤相关萎缩，这与TBI慢性病例演变的量化相关。这种方法能够根据受影响患者的特定结构缺陷，为图形化神经生理学和神经心理学TBI概况的制定提供信息。此外，它还能将我们工作流程提供的结果与专注于所针对皮质结构功能作用的现有研究成果联系起来。一种表示患者TBI状态的图形化手段与新兴的个性化医学领域以及神经萎缩的研究相关。
