BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices

Abstract Summary

This study presents the first whole-brain quantitative 3D laminar atlas of the human cerebral cortex, derived from histological sections of cortical samples from five participants.

Technical Context

The cerebral cortex is a complex structure composed of multiple layers and sub-regions. Histological atlases of the cerebral cortex have been invaluable for understanding its microstructure and functional organization in the brain. However, existing atlases are limited to small numbers of manually annotated samples from a single cerebral hemisphere, measured from 2D histological sections. To address this limitation, a novel method was developed to generate a comprehensive 3D atlas of cortical layers. This study employed advanced computational techniques and machine learning algorithms to analyze large-scale histological images, resulting in the creation of a detailed and quantitative 3D laminar atlas of the human cerebral cortex.

Source & Citation

Source:
Title: BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices
Abstract:
Histological atlases of the cerebral cortex, such as those made famous by Brodmann and von Economo, are invaluable for understanding human brain microstructure and its relationship with functional organization in the brain. However, these existing atlases are limited to small numbers of manually annotated samples from a single cerebral hemisphere, measured from 2D histological sections. We present the first whole-brain quantitative 3D laminar atlas of the human cerebral cortex. It was derived…

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Source & Citation

https://doi.org/10.1371/journal.pbio.3000678