To investigate the reliability of functional magnetic resonance imaging (fMRI), an approach for mapping and quantifying reliably activated voxels was developed.First, a SPM99 analysis was performed, and the resulting statistical maps were taken as the basis for subsequent analyses of reliability. Several approaches were demonstrated using 1). a voxel-wise intraclass correlation coefficient (ICC); 2). an analysis of scatter plots, calculating the correlation of contrast t-values for pairs of activation maps; and 3). the ratio of overlapping volumes as suggested in the literature. The methods were applied to an fMRI study in which subjects were asked to vary their attentional effort during watching a flickering checkerboard pattern with varyi...
In this technical note, we clarify the meaning of the generalizability-theory based coefficients rep...
Even more than in cognitive research applications, moving fMRI to the clinic and the drug developmen...
Identifying brain biomarkers of disease risk is a growing priority in neuroscience. The ability to i...
Functional magnetic resonance imaging (fMRI) is a non-invasive technique used for the investigation ...
Resting-state functional magnetic resonance imaging (RFMRI) enables researchers to monitor fluctuati...
Little is known about the effects of voxel size and repetition time (TR) on the test-retest reliabil...
For functional magnetic resonance imaging (fMRI) group activation maps, so-called second-level rando...
BACKGROUND AND PURPOSE: Functional MR imaging studies of the brain should be interpreted in the cont...
We analyzed grouped fMRI data and developed a reliability analysis for such data using the method of...
Functional Magnetic Resonance Imaging (fMRI) data are commonly used to construct activation maps for...
We analyzed grouped fMRI data and developed a reliability analysis for such data using the method of...
Optimising the number of subjects required for an event-related functional imaging study is critical...
Introduction: Functional MRI (fMRI) is commonly used to investigate the neural mechanisms underlying...
Single-subject fMRI experiments identify active voxels by performing individual voxelwise tests of t...
Functional Magnetic Resonance Imaging (fMRI) is a popular noninvasive modality to investigate activa...
In this technical note, we clarify the meaning of the generalizability-theory based coefficients rep...
Even more than in cognitive research applications, moving fMRI to the clinic and the drug developmen...
Identifying brain biomarkers of disease risk is a growing priority in neuroscience. The ability to i...
Functional magnetic resonance imaging (fMRI) is a non-invasive technique used for the investigation ...
Resting-state functional magnetic resonance imaging (RFMRI) enables researchers to monitor fluctuati...
Little is known about the effects of voxel size and repetition time (TR) on the test-retest reliabil...
For functional magnetic resonance imaging (fMRI) group activation maps, so-called second-level rando...
BACKGROUND AND PURPOSE: Functional MR imaging studies of the brain should be interpreted in the cont...
We analyzed grouped fMRI data and developed a reliability analysis for such data using the method of...
Functional Magnetic Resonance Imaging (fMRI) data are commonly used to construct activation maps for...
We analyzed grouped fMRI data and developed a reliability analysis for such data using the method of...
Optimising the number of subjects required for an event-related functional imaging study is critical...
Introduction: Functional MRI (fMRI) is commonly used to investigate the neural mechanisms underlying...
Single-subject fMRI experiments identify active voxels by performing individual voxelwise tests of t...
Functional Magnetic Resonance Imaging (fMRI) is a popular noninvasive modality to investigate activa...
In this technical note, we clarify the meaning of the generalizability-theory based coefficients rep...
Even more than in cognitive research applications, moving fMRI to the clinic and the drug developmen...
Identifying brain biomarkers of disease risk is a growing priority in neuroscience. The ability to i...