Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases.
By D. V. Van Essen, Matthew F. Glasser, Donna L. Dierker, John W. Harwell, Timothy S. Coalson. 2012
651 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
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
- Stephen M. Smith
- Olaf Sporns
- Steven E. Petersen
- Matthew F. Glasser
- Christian F. Beckmann
- Russell A. Poldrack
- D. Bassett
- Mark William Woolrich
In Radiology, Nuclear Medicine and Imaging
- Stephen M. Smith
- Matthew F. Glasser
- Olaf Sporns
- Christian F. Beckmann
- Steven E. Petersen
- Kamil Ugurbil
- David C. Van Essen
- Jesper L. R. Andersson
Citations in the corpus
- The impact of traditional neuroimaging methods on the spatial localization of cortical areas (2018, background): “Because of the high degree of individual variability in cortical folding patterns, and in the location of many areal boundaries relative to folds (11, 12), traditional volume-based methods for aligning cortical areas are imprecise across much of the cerebral cortex (9).”
- Mathematical framework for large-scale brain network modeling in The Virtual Brain (2015, neutral): “For an overview of the compromises between preserving network properties and respecting recent estimates of the total number of cortical areas in the human (about 150 to 200 areas per hemisphere) (Essen et al., 2012a), see Zalesky et al. (2010a).”
- Decreased segregation of brain systems across the healthy adult lifespan (2014, methodology): “Older Adults (65-89) Older adults with better memory performance and higher association system segregation”
- Resting-state fMRI in the Human Connectome Project (2013, background): “…folding patterns, there is no guarantee that there will be alignment of cortical areas across subjects, given the variable relationship between cortical areas and cortical folding patterns (Van Essen et al., 2012); the smaller the parcels, themore this becomes an important problem to solve.”
- A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex (2012, methodology): “An early systematic study compiled the interareal connectivity of 32 visual areas in the macaque (Felleman and Van Essen 1991).”
- neuromaps: structural and functional interpretation of brain maps (2022, methodology): “The fsLR coordinate system was created to overcome perceived shortcomings of the fsaverage system: namely, hemispheric asymmetry 74 .”
- Alpha-beta and gamma rhythms subserve feedback and feedforward influences among human visual cortical areas (2016, neutral): “Cortical parcellation and area definition used a recent visuotopic atlas provided by (Abdollahi et al., 2014), the FreeSurfer software suite (http://FreeSurfer.net/) (Fischl et al., 2004; Desikan et al., 2006; Destrieux et al., 2010), and the Caret software suite (http:// brainvis.wustl.edu/) (Glass”
- Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex (2017, methodology): “This standard mesh is obtained by registering all cortices to a135 common surface reference space, the Conte69 atlas (Van Essen et al., 2012), using cortical surface based alignment (MSMsulc); implemented using Multimodal Surface Matching (Robinson et al., 2014).”
- Multimodal Surface Matching with Higher-Order Smoothness Constraints☆ (2017, background): “In this multimodal registration features containing myelin maps (Glasser and Van Essen, 2011), resting-state networks (RSNs) and visuotopic features were used to drive alignment to a group average template.”