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Journal ArticleDOI

Gyrification in the cerebral cortex of primates.

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TLDR
Paleontological studies of total sulcal length can give direct information on the evolution of cortical folding in primates and the best predictor for convolutedness in anthropoids is neocortical volume, while in prosimians it is brain weight.
Abstract
The degree of cortical folding in primates has been analyzed using a gyrification index (GI). Correlation analyses of the GI with body weight, brain weight and neopallial volume show that the human data fit the general trend of the nonhuman anthropoids. Bigger primate brains exhibit a higher degree of fissurization, but a taxonomic difference that is independent of brain weight between prosimians and anthropoids has also been observed. In these regressions, anthropoids differed from prosimians by having a larger increase in gyrification for every unit increase in body or brain weight or neopallial volume. A stepwise regression also shows a prosimian-anthropoid difference. The best predictor for convolutedness in anthropoids is neocortical volume, while in prosimians it is brain weight. The GI in catarrhines is correlated with total sulcal length but not number of sulci. This result suggests paleontological studies of total sulcal length can give direct information on the evolution of cortical folding in primates.

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Coevolution of neocortical size, group size and language in humans

TL;DR: It is suggested that the evolution of large groups in the human lineage depended on developing a more efficient method for time-sharing the processes of social bonding and that language uniquely fulfills this requirement.
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The human pattern of gyrification in the cerebral cortex

TL;DR: The degree of cortical folding found in adult human brains has been analyzed using a gyrification index (GI), which permits the description of a mean value for the whole brain, but also a local specific analysis of different brain regions.
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Monkey to human comparative anatomy of the frontal lobe association tracts

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Defining the phenotype of schizophrenia: cognitive dysmetria and its neural mechanisms

TL;DR: It is proposed that schizophrenia may be a single disorder linked by a common pathophysiology (a neurodevelopmental mechanism), which leads to a misconnection syndrome of neural circuitry.
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