Multi-voxel pattern analyses (MVPA) are often performed on unsmoothed data, which is very different from the general practice of large smoothing extents in standard voxelbased analyses. In this report, we studied the effect of smoothing on MVPA results in a motor paradigm. Subjects pressed four buttons with two different fingers of the two hands in response to auditory commands. Overall, independent of the degree of smoothing, correlational MVPA showed distinctive patterns for the different hands in all studied regions of interest (motor cortex, prefrontal cortex, and auditory cortices). With regard to the effect of smoothing, our findings suggest that results from correlational MVPA show a minor sensitivity to smoothing. Moderate amounts o...
Graph-theoretical methods have rapidly become a standard tool in studies of the structure and functi...
Parametric voxelwise analysis is a commonly used tool in neuroimaging, as it allows for identificati...
<p>A: Comparison of speech sensitive IC2 and areas correlated with the auditory model in the voxel-w...
Recent publications analyzing the influence of spatial smoothing on fMRI brain activation results de...
This study evaluates the effects of spatial smoothing on inter-subject correlation (ISC) analysis fo...
Recently it has been suggested that multivariate analyses of functional magnetic resonance imaging (...
Smoothing is a filtering technique that is essential for brain signal analysis and consists in calcu...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Statistical parametric mapping (SPM) locates significant clusters based on a ratio of signal to nois...
Brain connectivity with functional magnetic resonance imaging (fMRI) is a popular approach for detec...
Various arguments have been proposed for or against sub-voxel sensitivity or hyperacuity in function...
Brain connectivity with functional Magnetic Resonance Imaging (fMRI) is a popular approach to invest...
Most fMRI studies using Multi-Voxel Pattern Analysis (MVPA) restrict these analyses to merely one sp...
AbstractMultivoxel pattern analysis (MVPA) has gained enormous popularity in the neuroimaging commun...
Multivariate Pattern Analysis (MVPA) has grown in importance due to its capacity to use both coarse ...
Graph-theoretical methods have rapidly become a standard tool in studies of the structure and functi...
Parametric voxelwise analysis is a commonly used tool in neuroimaging, as it allows for identificati...
<p>A: Comparison of speech sensitive IC2 and areas correlated with the auditory model in the voxel-w...
Recent publications analyzing the influence of spatial smoothing on fMRI brain activation results de...
This study evaluates the effects of spatial smoothing on inter-subject correlation (ISC) analysis fo...
Recently it has been suggested that multivariate analyses of functional magnetic resonance imaging (...
Smoothing is a filtering technique that is essential for brain signal analysis and consists in calcu...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Statistical parametric mapping (SPM) locates significant clusters based on a ratio of signal to nois...
Brain connectivity with functional magnetic resonance imaging (fMRI) is a popular approach for detec...
Various arguments have been proposed for or against sub-voxel sensitivity or hyperacuity in function...
Brain connectivity with functional Magnetic Resonance Imaging (fMRI) is a popular approach to invest...
Most fMRI studies using Multi-Voxel Pattern Analysis (MVPA) restrict these analyses to merely one sp...
AbstractMultivoxel pattern analysis (MVPA) has gained enormous popularity in the neuroimaging commun...
Multivariate Pattern Analysis (MVPA) has grown in importance due to its capacity to use both coarse ...
Graph-theoretical methods have rapidly become a standard tool in studies of the structure and functi...
Parametric voxelwise analysis is a commonly used tool in neuroimaging, as it allows for identificati...
<p>A: Comparison of speech sensitive IC2 and areas correlated with the auditory model in the voxel-w...