Application of Information Technology: An Integrated Software Suite for Surface-based Analyses of Cerebral Cortex

By D. V. Van Essen, H. A. Drury, James Dickson, John W. Harwell, Donna Hanlon, Charles H. Anderson. J. Am. Medical Informatics Assoc., 2001

1,031 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/208f7041a2b90c522d4a352fc941864caa660967

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Citations in the corpus

Parcellations and Connectivity Patterns in Human and Macaque Cerebral Cortex (2016, methodology): “Accurate quantitation of connection strengths and mapping to a surface-based parcellation is feasible (Lewis and Van Essen 2000a, b; Van Essen et al. 2001) but is tedious and technically demanding.”
Cortical thickness and central surface estimation (2013, methodology): “…be subsequently used to gen- 115 erate a reconstruction of the CS. Compared to the inner or outer sur- 116 face, the CS allows a better representation of the cortical sheet (Van 117 Essen et al., 2001), since neither sulcal or gyral regions are over-or 118 underestimated (Scott and Thacker, 2005).”
Neural mechanisms of understanding rational actions: middle temporal gyrus activation by contextual violation. (2011, methodology): “…purposes, a more lenient threshold of P < 0.0001 uncorrected for multiple comparisons was applied to the contrasts, and the resulting activations were projected (enclosing voxel projection) onto the PALS atlas surface (Van Essen 2005) using the Caret software package (Van Essen et al. 2001).”
Defining functional areas in individual human brains using resting functional connectivity MRI (2008, methodology): “Segmentation of the cortical mid-thickness as well as surface reconstruction was done using Caret 5.3 software (Van Essen et al., 2001) (http://brainmap.wustl.edu/caret/).”
Resting‐state networks show dynamic functional connectivity in awake humans and anesthetized macaques (2013, methodology): “The group correlation values were projected from volume data to the PALS-B12 cortical surface [van Essen, 2005] using the CARET (http:// www.nitrc.org/projects/caret) enclosed-voxel method [van Essen et al., 2001].”
An Improved Framework for Confound Regression and Filtering for Control of Motion Artifact in the Preprocessing of Resting-State Functional Connectivity Data (2012, methodology): “All voxelwise images are displayed using Caret by projecting the image volumes on to the PALS atlas using a trilinear interpolation (Van Essen et al., 2001).”
A continuous semantic space describes the representation of thousands of object and action categories across the human brain (2012, methodology): “Cortical surface meshes were generated from the T1-weighted anatomical scans using Caret5 software (Van Essen et al., 2001).”
Neural mechanisms of transient and sustained cognitive control during task switching. (2003, neutral): “CARET software (Van Essen et al., 2001).”
Accurate and Robust Brain Image Alignment using Boundary-based Registration (2009, methodology): “Several software programs exist to construct computational models of the cortical surface such as FreeSurfer (Dale et al., 1999; surfer.nmr.mgh.harvard.edu), Caret (Van Essen et al., 2001), Brain-VISA (Rivière et al., 2003) and Brain Voyager (www.brainvoyager. com).”
A spatially unbiased atlas template of the human cerebellum (2006, methodology): “For hand correction, the probability map was thresholded at p = 0.5 and manipulated using CARET (Van Essen et al., 2001).”
A New Method for Improving Functional-to-Structural MRI Alignment using Local Pearson Correlation (2008, positive): “…high precision in this correspondence is particularly critical for pre-surgical mapping (Hirsch et al., 2000; O'Shea et al., 2006; Sunaert, 2006; Yetkin et al., 1996) and cortical surface based analyses (Argall et al., 2006; Dale et al.,1999; Fischl et al., 1999; Van Essen et al., 2000, 2001).”
Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths (2008, neutral): “…have been developed for segmenting and measuring the cerebral cortex from MRI data (Dale et al., 1999; Joshi et al., 1999; MacDonald et al., 1999; Xu et al., 1999; Zeng et al., 1999; van Essen et al., 2001; Shattuck and Leahy, 2002; Sowell et al., 2003; Barta et al., 2005; Han et al., 2005).”