Cortical Folding Patterns and Predicting Cytoarchitecture

By Bruce Fischl, Niranjini Rajendran, Evelina Busa, Jean C. Augustinack, Oliver Hinds, B. Yeo, Hartmut Mohlberg, Katrin Amunts, Karl Zilles. Cerebral Cortex, 2007

778 citations recorded by the source corpus.

The human cerebral cortex is made up of a mosaic of structural areas, frequently referred to as Brodmann areas (BAs). Despite the widespread use of cortical folding patterns to perform ad hoc estimations of the locations of the BAs, little is understood regarding 1) how variable the position of a given BA is with respect to the folds, 2) whether the location of some BAs is more variable than others, and 3) whether the variability is related to the level of a BA in a putative cortical hierarchy. We use whole-brain histology of 10 postmortem human brains and surface-based analysis to test how well the folds predict the locations of the BAs. We show that higher order cortical areas exhibit more variability than primary and secondary areas and that the folds are much better predictors of the BAs than had been previously thought. These results further highlight the significance of cortical folding patterns and suggest a common mechanism for the development of the folds and the cytoarchitectonic fields.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/d4687f9ae6b2b23d57a53124e7c2d28c30f5a781

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Citations in the corpus

An algorithmic method for functionally defining regions of interest in the ventral visual pathway (2012, methodology): “One bene ﬁ t of the Frost & Goebel's maps is that they can be used for surface-based analyses, which generally achieve better inter-subject alignment of activations (e.g., Fischl et al., 2008; Frost and Goebel, 2011).”
Graph analysis of the human connectome: Promise, progress, and pitfalls (2013, neutral): “Though convergent in some areas (Fischl et al., 2008), the borders formed by these microscopic properties often show poor correspondence with the macroscopic (e.”
Individual Variability in Functional Connectivity Architecture of the Human Brain (2013, background): “We therefore further quantified functional connectivity variability in several histologically defined architectonic brain areas (Fischl et al., 2008) that are known to show different susceptibility to misalignment.”
Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature (2017, background): “On top of these issues, functional areal boundaries (see Parcellation Choice) of heteromodal association areas are variable with respect to sulcal and gyral anatomy (Fischl et al., 2008).”
MSM: a new flexible framework for Multimodal Surface Matching☆ (2014, neutral): “As mentioned previously, registration driven by cortical folds can lead to suboptimal alignment of brain function in many regions of the brain (Fischl et al., 2008).”
Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration (2009, background): “Cortical folding patterns have been shown to correlate with both cytoarchitectural [25], [68] and functional regions”
Parcellations and Connectivity Patterns in Human and Macaque Cerebral Cortex (2016, background): “…registration (SBR) and surface-based atlases have inherent advantages over conventional, volume-based registration because they respect the topology of the cortical sheet (Anticevic et al. 2008; Fischl et al. 1999; 2008; Frost and Goebel 2012; Tucholka et al. 2012; Van Essen et al. 2012c).”
Mapping Human Cortical Areas in vivo Based on Myelin Content as Revealed by T1- and T2-weighted MRI (2011, methodology): “Surface-based probabilistic cytoarchitectonic areas were obtained from the standard FreeSurfer distribution, most of which were described by Fischl et al. (2008).”
Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases. (2012, methodology): “Probabilistic architectonic maps from Fischl et al. (2008) registered to FreeSurfer’s fsaverage right hemisphere surface, lateral (top), inflated lateral (middle), and medial (bottom) surfaces.”
Alpha-beta and gamma rhythms subserve feedback and feedforward influences among human visual cortical areas (2016, neutral): “In the human brain, area MT has been consistently mapped at a corresponding location, has a similar visuotopic organization and is characterized by its motion-selective activation (Huk et al., 2002; Fischl et al., 2008; Kolster et al., 2010).”