Cross-species evidence of interplay between neural connectivity at the micro- and macroscale of connectome organization in human, mouse and rat brain

L.H. Scholtens, Lisa Feldman Barrett, M.P. van den Heuvel*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The mammalian brain describes a multi-scale system. At the microscale, axonal, dendritic and synaptic elements ensure neuron-to-neuron communication, and at the macroscale, large-scale projections form the anatomical wiring for communication between cortical areas. While it is clear that both levels of neural organization play a crucial role in brain functioning, their interaction is not extensively studied. Connectome studies of the mammalian brain in cat, macaque and human have recently shown regions with larger and more complex pyramidal cells to have more macroscale corticocortical connections. Here, we aimed to further validate these cross-scale findings in the human, mouse and rat brain. We combined neuron reconstructions from the NeuroMorpho.org neuroarchitecture database with macroscale connectivity data derived from connectome mapping by means of tract-tracing (rat, mouse) and in vivo diffusion MRI (human). Across these three mammalian species we show cortical variation in neural organization to be associated to features of macroscale connectivity, with cortical variation in neuronal complexity explaining significant proportions of cortical variation in the number of white matter projections of cortical areas. Our findings converge on the notion of a relationship between features of micro- and macroscale neural connectivity to form a central aspect of mammalian neural architecture.
Original languageEnglish
Pages (from-to)595-603
Number of pages9
JournalBrain Connectivity
Volume8
Issue number10
Early online date27 Nov 2018
DOIs
Publication statusPublished - 14 Dec 2018

Funding

We thank Ruben Schmidt, Suus van Noort, Siemon C. de Lange, and Marcel de Reus for help with the data collection and analysis. M.P.v.d.H. is an MQ fellow and was supported by an Innovational Research Incentives Scheme Vidi grant (Grant No. VIDI-452-16-015) of the Netherlands Organisation of Scientific Research (Nederlandse Organisatie voor Weten-schappelijk Onderzoek). M.P.v.d.H. and L.H.S. were supported by an ALW Open grant (Grant No. ALWOP.179) of the Nether- lands Organisation of Scientific Research. LFB was funded by the National Institute of Mental Health (R01 MH113234, R01 MH109464) and the National Cancer Institute (U01 CA193632). Data were provided in part by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University.

FundersFunder number
National Institutes of Health
National Institute of Mental HealthR01 MH109464, R01MH113234
National Cancer InstituteU01 CA193632
NIH Blueprint for Neuroscience Research
McDonnell Center for Systems Neuroscience

    Keywords

    • Connectome
    • Brain
    • Systems integration
    • Comparative connectomics
    • Multi-scale connectomics

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