Analysis of functional image analysis contest (FIAC) data with brainvoyager QX: From single‐subject to cortically aligned group general linear model analysis and self‐organizing group independent…
By Rainer Goebel, Fabrizio Esposito, Elia Formisano. Human Brain Mapping, 2006
1,092 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Signal Processing
View Paper: https://www.semanticscholar.org/paper/0fcd0c35fb25535e0b106caf6e99c4cb85a07c23
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Matthew F. Glasser
- Timothy S. Coalson
- D. V. Van Essen
- Donna L. Dierker
- Alan C. Evans
- John W. Harwell
- S. Robbins
- Oliver C. Lyttelton
In Signal Processing
- Michelle Moerel
- Federico De Martino
- Bin He
- Thomas Koenig
- Alan C. Evans
- Elia Formisano
- Oliver C. Lyttelton
- Werner K. Strik
Citations in the corpus
- BOLD correlates of EEG alpha phase-locking and the fMRI default mode network (2009, methodology): “, 2005) were transformed to t-scores (mean ICA z-value of each voxel across the individual maps divided by its standard error (Goebel et al., 2006).”
- Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases. (2012, background): “…in widespread use rely only on local shape features and do not compensate for variability in the location of areas relative to cortical folds (Fischl, Sereno, Tootell, et al. 1999; Van Essen 2005; Goebel et al. 2006; Joshi et al. 2007; Lyttelton et al. 2007; Yeo et al. 2010; see Discussion).”
- Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience (2008, neutral): “…subjects in an fMRI experiment are related by transforming the data into a common spatial frame of reference, such as Talairach space (Talairach and Tournoux, 1988) or cortical-surface space defi ned by cortex-based alignment (Fischl et al., 1999; Goebel and Singer, 1999; Goebel et al., 2006).”
- Object Familiarity and Semantic Congruency Modulate Responses in Cortical Audiovisual Integration Areas (2007, methodology): “Statistical maps were corrected for multiple comparisons using cluster-size thresholding (Forman et al., 1995; Goebel et al., 2006).”
- Measuring structural-functional correspondence: Spatial variability of specialised brain regions after macro-anatomical alignment (2012, neutral): “Whilst improvements of intensity-based volumetric alignment schemes have been proposed (Amunts and Zilles, 2001; Ashburner, 2007), approaches that explicitly align the folding pattern of the cortical surface (Fischl et al., 1999b; Goebel et al., 2006) or integrate volume and surface registration (Jo”
- Negative Covariation between Task-related Responses in Alpha/Beta-Band Activity and BOLD in Human Sensorimotor Cortex: an EEG and fMRI Study of Motor Imagery and Movements (2009, methodology): “All dipoles from each individual were then projected onto a reference brain by aligning each subject's sulcal-gyral patterns using BrainVoyager QX (Fischl et al., 1999; Goebel et al., 2006; Brain Innovation, Maastricht).”
- Functional connectivity of the insula in the resting brain (2011, methodology): “05, cluster-level corrected using a Monte Carlo simulation (Forman et al., 1995; Goebel et al., 2006), see supporting online materials) for multiple comparisons (cluster threshold kN10 voxels in the native resolution).”
- Processing of Natural Sounds in Human Auditory Cortex: Tonotopy, Spectral Tuning, and Relation to Voice Sensitivity (2012, methodology): “Next, cortex-based alignment (CBA) was used to improve alignment of the major sulci and gyri between subjects (Goebel et al., 2006).”
- An unbiased iterative group registration template for cortical surface analysis (2007, methodology): “, 2004; Van Essen, 2005), whereas others (Robbins, 2003; Fischl et al., 1999; Goebel et al., 2006) attempt to match surface features defined at every point on the surface.”
- Visualization of image data from cells to organisms (2010, neutral): “…have been developed for the task of extracting, analyzing and visualizing models of the brain from MRI (for example, FreeSurfer 28 , BrainSuite 27 , BrainVoyager 29 , MedINRIA and BrainVisa 30 ), as have tools specific to cardiac image processing and analysis (for example, Cardiac Image Modeller).”
- EEG-vigilance and BOLD effect during simultaneous EEG/fMRI measurement (2009, methodology): “For each subject 30 spatially independent components (ICs) of the fMRI-signals were computed using the FastICA algorithm implemented in a BrainVoyager Software “plugin” (Goebel et al., 2006).”