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Using a novel source-localized phase regressor technique for evaluation of the vascular contribution to semantic category area localization in BOLD fMRI

Overview of attention for article published in Frontiers in Neuroscience, November 2015
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Title
Using a novel source-localized phase regressor technique for evaluation of the vascular contribution to semantic category area localization in BOLD fMRI
Published in
Frontiers in Neuroscience, November 2015
DOI 10.3389/fnins.2015.00411
Pubmed ID
Authors

An T. Vu, Jack L. Gallant

Abstract

Numerous studies have shown that gradient-echo blood oxygen level dependent (BOLD) fMRI is biased toward large draining veins. However, the impact of this large vein bias on the localization and characterization of semantic category areas has not been examined. Here we address this issue by comparing standard magnitude measures of BOLD activity in the Fusiform Face Area (FFA) and Parahippocampal Place Area (PPA) to those obtained using a novel method that suppresses the contribution of large draining veins: source-localized phase regressor (sPR). Unlike previous suppression methods that utilize the phase component of the BOLD signal, sPR yields robust and unbiased suppression of large draining veins even in voxels with no task-related phase changes. This is confirmed in ideal simulated data as well as in FFA/PPA localization data from four subjects. It was found that approximately 38% of right PPA, 14% of left PPA, 16% of right FFA, and 6% of left FFA voxels predominantly reflect signal from large draining veins. Surprisingly, with the contributions from large veins suppressed, semantic category representation in PPA actually tends to be lateralized to the left rather than the right hemisphere. Furthermore, semantic category areas larger in volume and higher in fSNR were found to have more contributions from large veins. These results suggest that previous studies using gradient-echo BOLD fMRI were biased toward semantic category areas that receive relatively greater contributions from large veins.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Ph. D. Student 8 24%
Student > Master 5 15%
Student > Doctoral Student 3 9%
Professor 2 6%
Other 3 9%
Unknown 4 12%
Readers by discipline Count As %
Neuroscience 9 26%
Psychology 6 18%
Computer Science 4 12%
Agricultural and Biological Sciences 2 6%
Physics and Astronomy 2 6%
Other 3 9%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 November 2015.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Frontiers in Neuroscience
#10,137
of 11,541 outputs
Outputs of similar age
#253,619
of 296,418 outputs
Outputs of similar age from Frontiers in Neuroscience
#136
of 154 outputs
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