Despite GE-EPI being the method of choice in most fMRI applications, their use in high-resolution acquisitions is questioned due to their inherent sensitivity to large draining veins [1]. To examine the effective spatial resolution limits of GE-EPI, it is necessary to measure physiological structures in the human brain with known spatial extent such as ocular dominance columns (ODCs) in V1 or the stripe architecture (thin, thick, pale) in V2. We show that ODCs and thin stripes can be reliably detected using GE-EPI at 7 T
Sub-millimeter spatial resolution applications are becoming of increasing interest in fMRI. Several ...
Functional MRI at ultra-high magnetic fields (≥ 7T) provides the opportunity to probe columnar and l...
Multivariate machine learning algorithms applied to human functional MRI (fMRI) data can decode info...
Since the discovery of the BOLD effect, detection of ocular dominance columns (ODCs) in primary visu...
Columns and layers are fundamental organizational units of the brain. Well known examples of cortica...
Current thinking suggests that specialised modules process visual information in a hierarchical mann...
Cells in the mammalian brain tend to be grouped together according to their afferent and efferent co...
AbstractWe mapped ocular dominance columns (ODCs) in normal human subjects using high-field (4 T) fu...
Ultra high fields (7T and above) allow functional imaging with high contrast-to-noise ratios and imp...
The mapping of high resolution functional structures relies on the minimization of non-specific larg...
The mesoscopic organization of the human neocortex is of great interest for cognitive neuroscience. ...
Recent studies have demonstrated the ability of classification algorithms applied to fMRI data to de...
Functional magnetic resonance imaging (fMRI) is a widely used tool in neuroscience to detect neurall...
Recent work has established that cerebral blood flow is regulated at a spatial scale that can be res...
<div><p>Recent work has established that cerebral blood flow is regulated at a spatial scale that ca...
Sub-millimeter spatial resolution applications are becoming of increasing interest in fMRI. Several ...
Functional MRI at ultra-high magnetic fields (≥ 7T) provides the opportunity to probe columnar and l...
Multivariate machine learning algorithms applied to human functional MRI (fMRI) data can decode info...
Since the discovery of the BOLD effect, detection of ocular dominance columns (ODCs) in primary visu...
Columns and layers are fundamental organizational units of the brain. Well known examples of cortica...
Current thinking suggests that specialised modules process visual information in a hierarchical mann...
Cells in the mammalian brain tend to be grouped together according to their afferent and efferent co...
AbstractWe mapped ocular dominance columns (ODCs) in normal human subjects using high-field (4 T) fu...
Ultra high fields (7T and above) allow functional imaging with high contrast-to-noise ratios and imp...
The mapping of high resolution functional structures relies on the minimization of non-specific larg...
The mesoscopic organization of the human neocortex is of great interest for cognitive neuroscience. ...
Recent studies have demonstrated the ability of classification algorithms applied to fMRI data to de...
Functional magnetic resonance imaging (fMRI) is a widely used tool in neuroscience to detect neurall...
Recent work has established that cerebral blood flow is regulated at a spatial scale that can be res...
<div><p>Recent work has established that cerebral blood flow is regulated at a spatial scale that ca...
Sub-millimeter spatial resolution applications are becoming of increasing interest in fMRI. Several ...
Functional MRI at ultra-high magnetic fields (≥ 7T) provides the opportunity to probe columnar and l...
Multivariate machine learning algorithms applied to human functional MRI (fMRI) data can decode info...