Optimizing the detection of white matter fMRI using asymmetric spin echo spiral

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DOIResolve DOI: http://doi.org/10.1016/j.neuroimage.2008.11.005
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Journal titleNeuroImage
Pages8388; # of pages: 6
Subjectaction potentials; action potentials physiology; brain mapping; brain mapping method; scorpus callosum; corpus callosum anatomy & histology; corpus callosum physiology; evoked potentials; female; humans; magnetic resonance imaging; magnetic resonance imaging methods; male; myelinated; myelinated physiology; myelinated ultrastructure; nerve fibers; neural pathways; neural pathways physiologyneural; pathways ultrastructure; visual; visual physiology; young adult
AbstractThe majority of functional magnetic resonance imaging (fMRI) studies restrict their focus to gray matter regions because this tissue is highly perfused relative to white matter. However, an increasing number of studies are reporting fMRI activation in white matter. The current study had two objectives: 1) to evaluate whether it is possible to detect white matter fMRI activation and 2) to determine whether certain MRI contrast mechanisms are more sensitive to white matter activation (i.e., BOLD contrast- versus T(2)-weighting). Data were acquired from a 4 T MRI using an asymmetric spin echo spiral sequence (ASE spiral). This technique collected three images with equal BOLD contrast weighting and increasing T(2)-weighting. An interhemispheric transfer task was used to elicit activation in the corpus callosum. White matter fMRI activation was examined for the averaged ASE spiral data and for each image separately. Callosal activation was present in all subjects as well as in the group analysis. Analyses revealed that increasing T(2) contrast improved sensitivity as measured by percent signal change. The results suggest that it is possible to detect white matter activation in fMRI and that ASE spiral showed increasing sensitivity to this activation as a function of T(2)-weighting. The findings provide further support for the investigation of white matter fMRI.
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AffiliationNRC Institute for Biodiagnostics; National Research Council Canada
Peer reviewedYes
NPARC number20178997
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Record identifier0738f1f4-0aaf-48be-ab0e-e8da27d07dd0
Record created2012-06-21
Record modified2016-05-09
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