Relating Structural and Functional Connectivity to Performance in a Communication Task
Measures from event-related functional MRI, diffusion tensor imaging tractography and cognitive performance in a language-based task were used to test the hypothesis that both functional and structural connectivity provide independent and complementary information that aids in the identification of network components most related to the neurobiological basis for language and cognitive processing. Structural connectivity was measured by averaging fractional anisotropy (FA) over a geometric fiber bundle model that projects local white matter properties onto a centerline. In the uncinate fasciculus FA was found to predict performance on a measure of decision-making regarding homonym meaning. Functional synchronization of BOLD fMRI signals between frontal and temporal regions connected by the uncinate fasciculus was also found to predict the performance measure. Multiple regression analysis demonstrated that combining equidimensional measures of functional and structural connectivity identified the network components that most significantly predict performance.
Jeffrey T.Duda Corey McMillan Murray Grossman James C.Gee
Department of Bioengineering, University of Pennsylvania, USA Department of Neurology, University of Pennsylvania, USA Department of Radiology, University of Pennsylvania, USA
国际会议
北京
英文
282-289
2010-09-01（万方平台首次上网日期，不代表论文的发表时间）