Research Article
Spatial scale of correlated signals in 7T BOLD imaging
@INPROCEEDINGS{10.4108/eai.3-12-2015.2262441, author={Andrew Parker and Holly Bridge and Gaelle Coullon}, title={Spatial scale of correlated signals in 7T BOLD imaging}, proceedings={The First International Workshop on Computational Models of the Visual Cortex: Hierarchies, Layers, Sparsity, Saliency and Attention}, publisher={ACM}, proceedings_a={CMVC}, year={2016}, month={5}, keywords={magnetic resonance imaging visual cortex point spread function variogram analysis}, doi={10.4108/eai.3-12-2015.2262441} }- Andrew Parker
Holly Bridge
Gaelle Coullon
Year: 2016
Spatial scale of correlated signals in 7T BOLD imaging
CMVC
ACM
DOI: 10.4108/eai.3-12-2015.2262441
Abstract
The spatial distribution of signals from magnetic resonance imaging (MRI) using measures of Blood Oxygen Level Dependent (BOLD) activations presents a fundamental limit on the ability of MRI to resolve the neural signals from the brain. Here we show that the multiple samples of low-level BOLD activity comprise a form of neural “imaging dust” with distinct spatial characteristics. We apply the distance-dependent measurement of variance to spatial maps of BOLD signals to deliver a new approach to estimating the empirical point-spread function (PSF) of MRI. We show that these new estimates are similar to earlier measures of the PSF of high field 7-T imaging, but deliver the advantage that they are specific to each individual tested in a single scanning session. We explore various potential applications of this approach.