Connectivity and cortical architecture

Abstract

Abstract Brain regions of the cerebral cortex differ in their cytoarchitecture as well as in the intrinsic connectivity within an area and the organization of macroscopic connections between different cortical areas. Nonetheless, it is not clear which rules underlie the relationship of cellular and fiber architecture, and how the characteristic cortical microand macro-connectivity are related to each other. In order to identify principles of cortical connectivity, we systematically investigate various parameters of cortical architecture and their relation to the organization of anatomical connections among cortical areas. Characteristic parameters of cortical architecture include the differential density and distribution of neurons and neuron types across the layers of cortical areas, as well as the regional distribution of different receptors of neurotransmitter systems. The cytoarchitectonic characterization of the brain is a classic approach of neuroanatomy, which recently has been supplemented by new techniques for labeling specific neural components as well as novel optical and analytical approaches. However, the systematic quantitative acquisition of architectonic and morphological parameters of the human brain has only just begun. It is a fundamental challenge to gather and quantify the extremely extensive and detailed histological data (“big data”) by novel image processing techniques. This challenge is taken up in the BigBrain project. Extensive anatomical data already exist for a number of animal models, for example, the brains of nonhuman primates, the cat or the mouse. However, for each single parameter it has to be demonstrated how far these data can be generalized across species. Previous analyses support the notion that the regionally specific cytoarchitecture of the cerebral cortex is closely linked to the existence and the laminar projection patterns of corticocortical connections. These results imply systematic relationships between the patterns of macroscopic connections among cortical areas and the regionally specific intrinsic circuitry within cortical areas. Such relations are the basis of generic models of multiscale cortical connectivity, which reflect essential anatomical and functional properties of mammalian cortical organization.