Literature DB >> 25527636

Connectomics: comprehensive approaches for whole-brain mapping.

Shinsuke Shibata1, Yuji Komaki2, Fumiko Seki3, Michiko O Inouye3, Toshihiro Nagai4, Hideyuki Okano5.   

Abstract

The aim of connectomics analysis is to understand whole-brain neural connections. This is accomplished using new biotechnologies. Here, we provide an overview of the recent progress in connectomics analysis. The entire neural network of an organism was revealed for the first time in the nematode. Caenorhabditis elegans (C. elegans) have an advantage of their limited number of neurons and their transparency, allowing the neural network to be visualized using light and electron microscopes (EMs). It is practically impossible to adopt the same approach for mammals because of the large number of neural cells and the opacity of the central nervous system. A variety of new technologies are being developed to perform computer-assisted high-throughput image acquisition and analysis to obtain whole-brain maps for higher species, including mammals. Diffusion tensor magnetic resonance imaging and tractography and three-dimensional imaging with the EM are examples of novel approaches to connectomics. These new technologies will soon be applied not only to Drosophila, C. elegans and rodent research, but also to comprehensive connectomics analysis in a wide range of species including humans and primates. In the near future, results from connectomics analysis will reveal the neural circuitry of the whole brain and enhance our understanding of the human mind and neuropsychiatric diseases.
© The Author 2014. Published by Oxford University Press on behalf of The Japanese Society of Microscopy. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  brain mapping; connectome; connectomics; electron microscope; magnetic resonance imaging; serial EM

Mesh:

Year:  2014        PMID: 25527636     DOI: 10.1093/jmicro/dfu103

Source DB:  PubMed          Journal:  Microscopy (Oxf)        ISSN: 2050-5698            Impact factor:   1.571


  7 in total

1.  Filling the gap: adding super-resolution to array tomography for correlated ultrastructural and molecular identification of electrical synapses at the C. elegans connectome.

Authors:  Sebastian Matthias Markert; Sebastian Britz; Sven Proppert; Marietta Lang; Daniel Witvliet; Ben Mulcahy; Markus Sauer; Mei Zhen; Jean-Louis Bessereau; Christian Stigloher
Journal:  Neurophotonics       Date:  2016-05-04       Impact factor: 3.593

Review 2.  Post-genomic behavioral genetics: From revolution to routine.

Authors:  D G Ashbrook; M K Mulligan; R W Williams
Journal:  Genes Brain Behav       Date:  2017-12-21       Impact factor: 3.449

Review 3.  The connectome from the cerebral cortex to the viscera using viral transneuronal tracers.

Authors:  Zhixiao Li; Zhen Li; Weiguo Xu; Yujuan Li; Qian Wang; Hui Xu; Anne Manyande; Duozhi Wu; Maohui Feng; Hongbing Xiang
Journal:  Am J Transl Res       Date:  2021-11-15       Impact factor: 4.060

Review 4.  Brain/MINDS: brain-mapping project in Japan.

Authors:  Hideyuki Okano; Atsushi Miyawaki; Kiyoto Kasai
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-05-19       Impact factor: 6.237

Review 5.  Connectomic Analysis of Brain Networks: Novel Techniques and Future Directions.

Authors:  J Leonie Cazemier; Francisco Clascá; Paul H E Tiesinga
Journal:  Front Neuroanat       Date:  2016-11-09       Impact factor: 3.856

6.  Large-Area Fluorescence and Electron Microscopic Correlative Imaging With Multibeam Scanning Electron Microscopy.

Authors:  Shinsuke Shibata; Taro Iseda; Takayuki Mitsuhashi; Atsushi Oka; Tomoko Shindo; Nobuko Moritoki; Toshihiro Nagai; Shinya Otsubo; Takashi Inoue; Erika Sasaki; Chihiro Akazawa; Takao Takahashi; Richard Schalek; Jeff W Lichtman; Hideyuki Okano
Journal:  Front Neural Circuits       Date:  2019-05-08       Impact factor: 3.492

7.  Occipital Intralobar fasciculi: a description, through tractography, of three forgotten tracts.

Authors:  Maeva Bugain; Yana Dimech; Natalia Torzhenskaya; Michel Thiebaut de Schotten; Svenja Caspers; Richard Muscat; Claude J Bajada
Journal:  Commun Biol       Date:  2021-03-30
  7 in total

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