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Revealing the Synaptic Hodology of Mammalian Neural Circuits With Multiscale Neurocartography

The functional features of neural circuits are determined by a combination of properties that range in scale from projections systems across the whole brain to molecular interactions at the synapse. The burgeoning field of neurocartography seeks to map these relevant features of brain structure—span...

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Autores principales: Bloss, Erik B., Hunt, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690003/
https://www.ncbi.nlm.nih.gov/pubmed/31427940
http://dx.doi.org/10.3389/fninf.2019.00052
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author Bloss, Erik B.
Hunt, David L.
author_facet Bloss, Erik B.
Hunt, David L.
author_sort Bloss, Erik B.
collection PubMed
description The functional features of neural circuits are determined by a combination of properties that range in scale from projections systems across the whole brain to molecular interactions at the synapse. The burgeoning field of neurocartography seeks to map these relevant features of brain structure—spanning a volume ∼20 orders of magnitude—to determine how neural circuits perform computations supporting cognitive function and complex behavior. Recent technological breakthroughs in tissue sample preparation, high-throughput electron microscopy imaging, and automated image analyses have produced the first visualizations of all synaptic connections between neurons of invertebrate model systems. However, the sheer size of the central nervous system in mammals implies that reconstruction of the first full brain maps at synaptic scale may not be feasible for decades. In this review, we outline existing and emerging technologies for neurocartography that complement electron microscopy-based strategies and are beginning to derive some basic organizing principles of circuit hodology at the mesoscale, microscale, and nanoscale. Specifically, we discuss how a host of light microscopy techniques including array tomography have been utilized to determine both long-range and subcellular organizing principles of synaptic connectivity. In addition, we discuss how new techniques, such as two-photon serial tomography of the entire mouse brain, have become attractive approaches to dissect the potential connectivity of defined cell types. Ultimately, principles derived from these techniques promise to facilitate a conceptual understanding of how connectomes, and neurocartography in general, can be effectively utilized toward reaching a mechanistic understanding of circuit function.
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spelling pubmed-66900032019-08-19 Revealing the Synaptic Hodology of Mammalian Neural Circuits With Multiscale Neurocartography Bloss, Erik B. Hunt, David L. Front Neuroinform Neuroscience The functional features of neural circuits are determined by a combination of properties that range in scale from projections systems across the whole brain to molecular interactions at the synapse. The burgeoning field of neurocartography seeks to map these relevant features of brain structure—spanning a volume ∼20 orders of magnitude—to determine how neural circuits perform computations supporting cognitive function and complex behavior. Recent technological breakthroughs in tissue sample preparation, high-throughput electron microscopy imaging, and automated image analyses have produced the first visualizations of all synaptic connections between neurons of invertebrate model systems. However, the sheer size of the central nervous system in mammals implies that reconstruction of the first full brain maps at synaptic scale may not be feasible for decades. In this review, we outline existing and emerging technologies for neurocartography that complement electron microscopy-based strategies and are beginning to derive some basic organizing principles of circuit hodology at the mesoscale, microscale, and nanoscale. Specifically, we discuss how a host of light microscopy techniques including array tomography have been utilized to determine both long-range and subcellular organizing principles of synaptic connectivity. In addition, we discuss how new techniques, such as two-photon serial tomography of the entire mouse brain, have become attractive approaches to dissect the potential connectivity of defined cell types. Ultimately, principles derived from these techniques promise to facilitate a conceptual understanding of how connectomes, and neurocartography in general, can be effectively utilized toward reaching a mechanistic understanding of circuit function. Frontiers Media S.A. 2019-07-30 /pmc/articles/PMC6690003/ /pubmed/31427940 http://dx.doi.org/10.3389/fninf.2019.00052 Text en Copyright © 2019 Bloss and Hunt. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Bloss, Erik B.
Hunt, David L.
Revealing the Synaptic Hodology of Mammalian Neural Circuits With Multiscale Neurocartography
title Revealing the Synaptic Hodology of Mammalian Neural Circuits With Multiscale Neurocartography
title_full Revealing the Synaptic Hodology of Mammalian Neural Circuits With Multiscale Neurocartography
title_fullStr Revealing the Synaptic Hodology of Mammalian Neural Circuits With Multiscale Neurocartography
title_full_unstemmed Revealing the Synaptic Hodology of Mammalian Neural Circuits With Multiscale Neurocartography
title_short Revealing the Synaptic Hodology of Mammalian Neural Circuits With Multiscale Neurocartography
title_sort revealing the synaptic hodology of mammalian neural circuits with multiscale neurocartography
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690003/
https://www.ncbi.nlm.nih.gov/pubmed/31427940
http://dx.doi.org/10.3389/fninf.2019.00052
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