A cortical vascular model for examining the specificity of the laminar BOLD signal

Markuerkiaga, Irati, Barth, Markus and Norris, David G. (2016) A cortical vascular model for examining the specificity of the laminar BOLD signal. NeuroImage, 132 491-498. doi:10.1016/j.neuroimage.2016.02.073

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Author Markuerkiaga, Irati
Barth, Markus
Norris, David G.
Title A cortical vascular model for examining the specificity of the laminar BOLD signal
Journal name NeuroImage   Check publisher's open access policy
ISSN 1095-9572
Publication date 2016-05-15
Sub-type Article (original research)
DOI 10.1016/j.neuroimage.2016.02.073
Volume 132
Start page 491
End page 498
Total pages 8
Place of publication Amsterdam, Netherlands
Publisher Academic Press
Collection year 2017
Language eng
Formatted abstract
Blood oxygenation level dependent (BOLD) functional MRI has been used for inferring layer specific activation in humans. However, intracortical veins perpendicular to the cortical surface are suspected to degrade the laminar specificity as they drain blood from the microvasculature and BOLD signal is carried over from lower to upper cortical layers on its way to the pial surface. In this work, a vascular model of the cortex is developed to investigate the laminar specificity of the BOLD signal for Spin Echo (SE) and Gradient Echo (GE) following the integrative model presented by Uluda─č et al. (2009). The results of the simulation show that the laminar point spread function (PSF) of the BOLD signal presents similar features across all layers. The PSF for SE is highly localised whereas for GE there is a flat tail running to the pial surface, with amplitude less than a quarter of the response from the layer itself. Consequently the GE response at any layer will also contain a contribution accumulated from all lower layers.
Keyword Gradient echo
Layer specific BOLD fMRI
Spatial specificity
Spin echo
Vascular cortical model
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Centre for Advanced Imaging Publications
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Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
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