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Proceedings Paper

Arterial spin tagging fMRI in continuous overt speech production compared to BOLD technique
Author(s): Stefan Kemeny; Frank Ye; Allen Braun
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Paper Abstract

Conventional BOLD fMRI has limited use in overt speech paradigms, due to movement and susceptibility artifacts. Our study used an arterial spin-tagging (AST) sequence to quantify focal brain activation in a continuous speech task. Furthermore, we compared the results to conventional BOLD fMRI. The ASSIST sequence was used to obtain transverse perfusion images of the brain, acquired on a 1.5T GE-Signa scanner. Three conditions were alternated in a block design: generation of complete sentences, nonsense syllables and rest with continuous and overt speech production. For 4 normal volunteers, task-related perfusion maps with quantified rCBF and rCBV values were calculated and activations were mapped to the MNI brain. The same paradigm was scanned with BOLD contrast fMRI in separate, independent scans and data from 6 subjects were analyzed using SPM99. Using the AST sequence, we could reliably identify focal brain activation in an overt continuous speech paradigm, and the activations observed were consistent with previous PET studies. We found differential activation at increasing levels of speech production with a focus in the left insula and opercular IFG related to the production of sentences at a syntactic level as opposed to nonsense syllable production. The BOLD technique failed to identify some of these activation foci, possibly due to decreased SNR and artifacts.

Paper Details

Date Published: 2 May 2003
PDF: 4 pages
Proc. SPIE 5031, Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications, (2 May 2003); doi: 10.1117/12.480320
Show Author Affiliations
Stefan Kemeny, National Institutes of Health (United States)
Frank Ye, National Institutes of Health (United States)
Allen Braun, National Institutes of Health (United States)

Published in SPIE Proceedings Vol. 5031:
Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications
Anne V. Clough; Amir A. Amini, Editor(s)

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