Literature DB >> 30138588

Parcellating Cerebral Cortex: How Invasive Animal Studies Inform Noninvasive Mapmaking in Humans.

David C Van Essen1, Matthew F Glasser2.   

Abstract

The cerebral cortex in mammals contains a mosaic of cortical areas that differ in function, architecture, connectivity, and/or topographic organization. A combination of local connectivity (within-area microcircuitry) and long-distance (between-area) connectivity enables each area to perform a unique set of computations. Some areas also have characteristic within-area mesoscale organization, reflecting specialized representations of distinct types of information. Cortical areas interact with one another to form functional networks that mediate behavior, and each area may be a part of multiple, partially overlapping networks. Given their importance to the understanding of brain organization, mapping cortical areas across species is a major objective of systems neuroscience and has been a century-long challenge. Here, we review recent progress in multi-modal mapping of mouse and nonhuman primate cortex, mainly using invasive experimental methods. These studies also provide a neuroanatomical foundation for mapping human cerebral cortex using noninvasive neuroimaging, including a new map of human cortical areas that we generated using a semiautomated analysis of high-quality, multimodal neuroimaging data. We contrast our semiautomated approach to human multimodal cortical mapping with various extant fully automated human brain parcellations that are based on only a single imaging modality and offer suggestions on how to best advance the noninvasive brain parcellation field. We discuss the limitations as well as the strengths of current noninvasive methods of mapping brain function, architecture, connectivity, and topography and of current approaches to mapping the brain's functional networks.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  architectonics; brain; connectivity; cortical areas; function; networks; neuroanatomy; nonhuman primate; parcellation; topography

Mesh:

Year:  2018        PMID: 30138588      PMCID: PMC6149530          DOI: 10.1016/j.neuron.2018.07.002

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  186 in total

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2.  Superficial white matter fiber systems impede detection of long-range cortical connections in diffusion MR tractography.

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Review 3.  Multivariate pattern analysis of fMRI: the early beginnings.

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4.  The strength of weak connections in the macaque cortico-cortical network.

Authors:  Alexandros Goulas; Alexander Schaefer; Daniel S Margulies
Journal:  Brain Struct Funct       Date:  2014-07-18       Impact factor: 3.270

5.  The projections from striate cortex (V1) to areas V2 and V3 in the macaque monkey: asymmetries, areal boundaries, and patchy connections.

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Review 8.  Trends and properties of human cerebral cortex: correlations with cortical myelin content.

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9.  A weighted and directed interareal connectivity matrix for macaque cerebral cortex.

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Authors:  Rouhollah O Abdollahi; Hauke Kolster; Matthew F Glasser; Emma C Robinson; Timothy S Coalson; Donna Dierker; Mark Jenkinson; David C Van Essen; Guy A Orban
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  32 in total

1.  Cerebral cortical folding, parcellation, and connectivity in humans, nonhuman primates, and mice.

Authors:  David C Van Essen; Chad J Donahue; Timothy S Coalson; Henry Kennedy; Takuya Hayashi; Matthew F Glasser
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Review 3.  Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks.

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Review 4.  Precision in the development of neocortical architecture: From progenitors to cortical networks.

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Journal:  Brain Struct Funct       Date:  2020-04-06       Impact factor: 3.270

Review 6.  Challenges and future directions for representations of functional brain organization.

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7.  Visual stimulus-driven functional organization of macaque prefrontal cortex.

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8.  A probabilistic atlas of the human motion complex built from large-scale functional localizer data.

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9.  Ciftify: A framework for surface-based analysis of legacy MR acquisitions.

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Journal:  J Vis       Date:  2018-12-03       Impact factor: 2.240

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