Literature DB >> 23982893

Evaluating the arcuate fasciculus with combined diffusion-weighted MRI tractography and electrocorticography.

Erik C Brown1, Jeong-Won Jeong, Otto Muzik, Robert Rothermel, Naoyuki Matsuzaki, Csaba Juhász, Sandeep Sood, Eishi Asano.   

Abstract

The conventional model of language-related brain structure describing the arcuate fasciculus as a key white matter tract providing a direct connection between Wernicke's region and Broca's area has been called into question. Specifically, the inferior precentral gyrus, possessing both primary motor (Brodmann Area [BA] 4) and premotor cortex (BA 6), has been identified as a potential alternative termination. The authors initially localized cortical sites involved in language using measurement of event-related gamma-activity on electrocorticography (ECoG). The authors then determined whether language-related sites of the temporal lobe were connected, via white matter structures, to the inferior frontal gyrus more tightly than to the precentral gyrus. The authors found that language-related sites of the temporal lobe were far more likely to be directly connected to the inferior precentral gyrus through the arcuate fasciculus. Furthermore, tractography was a significant predictor of frontal language-related ECoG findings. Analysis of an interaction between anatomy and tractography in this model revealed tractrography to have the highest predictive value for language-related ECoG findings of the precentral gyrus. This study failed to support the conventional model of language-related brain structure. More feasible models should include the inferior precentral gyrus as a termination of the arcuate fasciculus. The exact functional significance of direct connectivity between temporal language-related sites and the precentral gyrus requires further study.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  DTI; connectivity; event-related augmentation of gamma-activity; high-frequency oscillations (HFOs); naming; ripples; speech; tractography

Mesh:

Year:  2013        PMID: 23982893      PMCID: PMC3933455          DOI: 10.1002/hbm.22331

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  68 in total

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