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A high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset
Understanding the connectivity architecture of entire vertebrate brains is a fundamental but difficult task. Here we present an integrated neuro-histological pipeline as well as a grid-based tracer injection strategy for systematic mesoscale connectivity mapping in the common marmoset (Callithrix ja...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384052/ https://www.ncbi.nlm.nih.gov/pubmed/30720427 http://dx.doi.org/10.7554/eLife.40042 |
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author | Lin, Meng Kuan Takahashi, Yeonsook Shin Huo, Bing-Xing Hanada, Mitsutoshi Nagashima, Jaimi Hata, Junichi Tolpygo, Alexander S Ram, Keerthi Lee, Brian C Miller, Michael I Rosa, Marcello GP Sasaki, Erika Iriki, Atsushi Okano, Hideyuki Mitra, Partha |
author_facet | Lin, Meng Kuan Takahashi, Yeonsook Shin Huo, Bing-Xing Hanada, Mitsutoshi Nagashima, Jaimi Hata, Junichi Tolpygo, Alexander S Ram, Keerthi Lee, Brian C Miller, Michael I Rosa, Marcello GP Sasaki, Erika Iriki, Atsushi Okano, Hideyuki Mitra, Partha |
author_sort | Lin, Meng Kuan |
collection | PubMed |
description | Understanding the connectivity architecture of entire vertebrate brains is a fundamental but difficult task. Here we present an integrated neuro-histological pipeline as well as a grid-based tracer injection strategy for systematic mesoscale connectivity mapping in the common marmoset (Callithrix jacchus). Individual brains are sectioned into ~1700 20 µm sections using the tape transfer technique, permitting high quality 3D reconstruction of a series of histochemical stains (Nissl, myelin) interleaved with tracer labeled sections. Systematic in-vivo MRI of the individual animals facilitates injection placement into reference-atlas defined anatomical compartments. Further, by combining the resulting 3D volumes, containing informative cytoarchitectonic markers, with in-vivo and ex-vivo MRI, and using an integrated computational pipeline, we are able to accurately map individual brains into a common reference atlas despite the significant individual variation. This approach will facilitate the systematic assembly of a mesoscale connectivity matrix together with unprecedented 3D reconstructions of brain-wide projection patterns in a primate brain. |
format | Online Article Text |
id | pubmed-6384052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-63840522019-02-25 A high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset Lin, Meng Kuan Takahashi, Yeonsook Shin Huo, Bing-Xing Hanada, Mitsutoshi Nagashima, Jaimi Hata, Junichi Tolpygo, Alexander S Ram, Keerthi Lee, Brian C Miller, Michael I Rosa, Marcello GP Sasaki, Erika Iriki, Atsushi Okano, Hideyuki Mitra, Partha eLife Neuroscience Understanding the connectivity architecture of entire vertebrate brains is a fundamental but difficult task. Here we present an integrated neuro-histological pipeline as well as a grid-based tracer injection strategy for systematic mesoscale connectivity mapping in the common marmoset (Callithrix jacchus). Individual brains are sectioned into ~1700 20 µm sections using the tape transfer technique, permitting high quality 3D reconstruction of a series of histochemical stains (Nissl, myelin) interleaved with tracer labeled sections. Systematic in-vivo MRI of the individual animals facilitates injection placement into reference-atlas defined anatomical compartments. Further, by combining the resulting 3D volumes, containing informative cytoarchitectonic markers, with in-vivo and ex-vivo MRI, and using an integrated computational pipeline, we are able to accurately map individual brains into a common reference atlas despite the significant individual variation. This approach will facilitate the systematic assembly of a mesoscale connectivity matrix together with unprecedented 3D reconstructions of brain-wide projection patterns in a primate brain. eLife Sciences Publications, Ltd 2019-02-05 /pmc/articles/PMC6384052/ /pubmed/30720427 http://dx.doi.org/10.7554/eLife.40042 Text en © 2019, Lin et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Lin, Meng Kuan Takahashi, Yeonsook Shin Huo, Bing-Xing Hanada, Mitsutoshi Nagashima, Jaimi Hata, Junichi Tolpygo, Alexander S Ram, Keerthi Lee, Brian C Miller, Michael I Rosa, Marcello GP Sasaki, Erika Iriki, Atsushi Okano, Hideyuki Mitra, Partha A high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset |
title | A high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset |
title_full | A high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset |
title_fullStr | A high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset |
title_full_unstemmed | A high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset |
title_short | A high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset |
title_sort | high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384052/ https://www.ncbi.nlm.nih.gov/pubmed/30720427 http://dx.doi.org/10.7554/eLife.40042 |
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