An unbiased iterative group registration template for cortical surface analysis
By Oliver C. Lyttelton, Maxime Boucher, S. Robbins, Alan C. Evans. NeuroImage, 2007
419 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/9b9bac47455f124362f5bb3012d93fbe4904c375
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
- Steven E. Petersen
- Olaf Sporns
- Bradley L. Schlaggar
- Matthew F. Glasser
- Nico U F Dosenbach
- Damien A. Fair
- David C. Van Essen
- Alexander Li Cohen
In Radiology, Nuclear Medicine and Imaging
- Steven E. Petersen
- Olaf Sporns
- Bradley L. Schlaggar
- Matthew F. Glasser
- David C. Van Essen
- D. V. Van Essen
- Timothy S. Coalson
- Nico U F Dosenbach
Citations in the corpus
- Trajectories of cortical thickness maturation in normal brain development – The importance of quality control procedures (2015, neutral): “) Register both cortical surfaces for each hemisphere non-linearly to a high resolution average surface template generated from the ICBM152 data set in order to establish inter-subject correspondence of the cortical points (Mazziotta et al., 1995; Lyttelton et al., 2007; Grabner et al., 2006).”
- neuromaps: structural and functional interpretation of brain maps (2022, methodology): “The coordinate system used by the CIVET software is a group-averaged surface reconstruction of the individual-participant volumes comprising the volumetric MNI ICBM 152 non-linear sixth generation template 75,76 .”
- Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases. (2012, methodology): “Extending this to other surface-based atlases such as the MNI surface-based atlas (Lyttelton et al. 2007, 2008) will further facilitate migration of data across atlases and improve cross-study comparisons.”
- Defining functional areas in individual human brains using resting functional connectivity MRI (2008, background): “The most advanced registration methods available attempt to compensate for individual variation in brain surface shape, size, and folding pattern (Lyttelton et al., 2007; Van Essen, 2005; Van Essen and Dierker, 2007).”
- Brain templates and atlases (2012, methodology): “Lyttelton et al. (2007) employed an iterative surface-registration procedure that yielded a surface template from the same database as that used for the MNI152 volumetric template.”