In:
PLOS Biology, Public Library of Science (PLoS), Vol. 18, No. 11 ( 2020-11-30), p. e3000979-
Abstract:
The vast net of fibres within and underneath the cortex is optimised to support the convergence of different levels of brain organisation. Here, we propose a novel coordinate system of the human cortex based on an advanced model of its connectivity. Our approach is inspired by seminal, but so far largely neglected models of cortico–cortical wiring established by postmortem anatomical studies and capitalises on cutting-edge in vivo neuroimaging and machine learning. The new model expands the currently prevailing diffusion magnetic resonance imaging (MRI) tractography approach by incorporation of additional features of cortical microstructure and cortico–cortical proximity. Studying several datasets and different parcellation schemes, we could show that our coordinate system robustly recapitulates established sensory-limbic and anterior–posterior dimensions of brain organisation. A series of validation experiments showed that the new wiring space reflects cortical microcircuit features (including pyramidal neuron depth and glial expression) and allowed for competitive simulations of functional connectivity and dynamics based on resting-state functional magnetic resonance imaging (rs-fMRI) and human intracranial electroencephalography (EEG) coherence. Our results advance our understanding of how cell-specific neurobiological gradients produce a hierarchical cortical wiring scheme that is concordant with increasing functional sophistication of human brain organisation. Our evaluations demonstrate the cortical wiring space bridges across scales of neural organisation and can be easily translated to single individuals.
Type of Medium:
Online Resource
ISSN:
1545-7885
DOI:
10.1371/journal.pbio.3000979
DOI:
10.1371/journal.pbio.3000979.g001
DOI:
10.1371/journal.pbio.3000979.g002
DOI:
10.1371/journal.pbio.3000979.g003
DOI:
10.1371/journal.pbio.3000979.g004
DOI:
10.1371/journal.pbio.3000979.g005
DOI:
10.1371/journal.pbio.3000979.g006
DOI:
10.1371/journal.pbio.3000979.s001
DOI:
10.1371/journal.pbio.3000979.s002
DOI:
10.1371/journal.pbio.3000979.s003
DOI:
10.1371/journal.pbio.3000979.s004
DOI:
10.1371/journal.pbio.3000979.s005
DOI:
10.1371/journal.pbio.3000979.s006
DOI:
10.1371/journal.pbio.3000979.s007
DOI:
10.1371/journal.pbio.3000979.s008
DOI:
10.1371/journal.pbio.3000979.s009
DOI:
10.1371/journal.pbio.3000979.s010
DOI:
10.1371/journal.pbio.3000979.s011
DOI:
10.1371/journal.pbio.3000979.s012
DOI:
10.1371/journal.pbio.3000979.s013
DOI:
10.1371/journal.pbio.3000979.s014
DOI:
10.1371/journal.pbio.3000979.s015
DOI:
10.1371/journal.pbio.3000979.s016
DOI:
10.1371/journal.pbio.3000979.s017
DOI:
10.1371/journal.pbio.3000979.r001
DOI:
10.1371/journal.pbio.3000979.r002
DOI:
10.1371/journal.pbio.3000979.r003
DOI:
10.1371/journal.pbio.3000979.r004
DOI:
10.1371/journal.pbio.3000979.r005
DOI:
10.1371/journal.pbio.3000979.r006
DOI:
10.1371/journal.pbio.3000979.r007
DOI:
10.1371/journal.pbio.3000979.r008
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2020
detail.hit.zdb_id:
2126773-X
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