A Protocol for Cortical Type Analysis of the Human Neocortex Applied on Histological Samples, the Atlas of Von Economo and Koskinas, and Magnetic Resonance Imaging

• Published in: Frontiers in neuroanatomy Vol. 14; p. 576015
• Main Authors: García-Cabezas, Miguel Ángel, Hacker, Julia Liao, Zikopoulos, Basilis
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 07.12.2020; Frontiers Media S.A
• Subjects: Anatomy; Brain mapping; Brain research; Brodmann area; Cerebral cortex; cortical area; cortical layer; cytoarchitecture; Evolution; Human subjects; Hypotheses; Magnetic resonance imaging; Mental disorders; Neocortex; Neural networks; Neuroanatomy; Neurodegenerative diseases; Neuroimaging; Neurosciences; Nissl; structural model; Synaptic plasticity; Brodmann area; cortical layer; cortical area; Nissl; cytoarchitecture; structural model
• ISSN: 1662-5129; 1662-5129
• DOI: 10.3389/fnana.2020.576015

The human cerebral cortex is parcellated in hundreds of areas using neuroanatomy and imaging methods. Alternatively, cortical areas can be classified into few cortical types according to their degree of laminar differentiation. Cortical type analysis is based on the gradual and systematic variation of laminar features observed across the entire cerebral cortex in Nissl stained sections and has profound implications for understanding fundamental aspects of evolution, development, connections, function, and pathology of the cerebral cortex. In this protocol paper, we explain the general principles of cortical type analysis and provide tables with the fundamental features of laminar structure that are studied for this analysis. We apply cortical type analysis to the micrographs of the Atlas of the human cerebral cortex of von Economo and Koskinas and provide tables and maps with the areas of this Atlas and their corresponding cortical type. Finally, we correlate the cortical type maps with the T1w/T2w ratio from widely used reference magnetic resonance imaging scans. The analysis, tables and maps of the human cerebral cortex shown in this protocol paper can be used to predict patterns of connections between areas according to the principles of the Structural Model and determine their level in cortical hierarchies. Cortical types can also predict the spreading of abnormal proteins in neurodegenerative diseases to the level of cortical layers. In summary, cortical type analysis provides a theoretical and practical framework for directed studies of connectivity, synaptic plasticity, and selective vulnerability to neurologic and psychiatric diseases in the human neocortex.