The human pattern of gyrification in the cerebral cortex

By Karl Zilles, E. Armstrong, Axel Schleicher, H. Kretschmann. Anatomy and Embryology, 2004

635 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a6e98b1ef05e53358be08230f3427ecc5bb02dbd

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

Citations in the corpus

Role of Mechanical Factors in the Morphology of the Primate Cerebral Cortex (2006, background): “Many attempts have been made to understand the factors underlying the formation of cortical convolutions [5– 7,9,11,15–19,21,51,52].”
Monkey to human comparative anatomy of the frontal lobe association tracts. (2012, background): “…volume expansion along the phylogeny scale is also accompanied by changes in other anatomical features, such as increase in the gyrification index (Zilles et al., 1988, 1989), cortical volume (Hofman, 1985, 1988) and density of synapses (Rockel et al., 1980; Chklovskii et al., 2002; DeFelipe et…”
A curvature-based approach to estimate local gyrification on the cortical surface (2006, methodology): “However, in contrast to measuring wholebrain sulcal and gyral CIs as implemented previously, we computed the degree of convolution across the entire cortex at thousands of surface points.”
Deep Convolutional Neural Networks for Multi-Modality Isointense Infant Brain Image Segmentation (2015, background): “During the ﬁ rst year of postnatal human brain development, the brain tissues grow quickly, and the cognitive and motor functions undergo a wide range of development (Zilles et al., 1988; Paus et al., 2001; Fan et al., 2011).”
A role for intermediate radial glia in the tangential expansion of the mammalian cerebral cortex. (2011, methodology): “Ferret kits aged P0, P2, P6, P10, and P14 (n = 3, 2, 3, 3, and 2, respectively) were perfused with phosphate-buffered 4% PFA and their brains stored in PFA at room temperature.”
A Surface-Based Approach to Quantify Local Cortical Gyrification (2008, methodology): “The Gyrification Index is commonly computed on coronal sections using the following equation [23]:”
An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (2006, background): “ROIs has been more challenging due to the substantial interindividual variability of the topographic features of the cortex (Zilles et al., 1988; Ono et al., 1990; Kennedy et al., 1998).”