Literature DB >> 27911739

Toward Whole-Body Connectomics.

Chung-Chuan Lo1,2,3, Ann-Shyn Chiang1,3,4,5,6,7,8.   

Abstract

Recent advances in neuro-technologies have revolutionized knowledge of brain structure and functions. Governments and private organizations worldwide have initiated several large-scale brain connectome projects, to further understand how the brain works at the systems levels. Most recent projects focus on only brain neurons, with the exception of an early effort to reconstruct the 302 neurons that comprise the whole body of the small worm, Caenorhabditis elegans However, to fully elucidate the neural circuitry of complex behavior, it is crucial to understand brain interactions with the whole body, which can be achieved only by mapping the whole-body connectome. In this article, we discuss the current state of connectomics study, focusing on novel optical approaches and related imaging technologies. We also discuss the challenges encountered by scientists who endeavor to map these whole-body connectomes in large animals.
Copyright © 2016 the authors 0270-6474/16/3611375-09$15.00/0.

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Year:  2016        PMID: 27911739      PMCID: PMC6601714          DOI: 10.1523/JNEUROSCI.2930-16.2016

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  6 in total

Review 1.  The connectome from the cerebral cortex to skeletal muscle using viral transneuronal tracers: a review.

Authors:  Yan Huang; Yunhua Zhang; Zhigang He; Anne Manyande; Duozhi Wu; Maohui Feng; Hongbing Xiang
Journal:  Am J Transl Res       Date:  2022-07-15       Impact factor: 3.940

2.  Identifying the individual metabolic abnormities from a systemic perspective using whole-body PET imaging.

Authors:  Tao Sun; Zhenguo Wang; Yaping Wu; Fengyun Gu; Xiaochen Li; Yan Bai; Chushu Shen; Zhanli Hu; Dong Liang; Xin Liu; Hairong Zheng; Yongfeng Yang; Georges El Fakhri; Yun Zhou; Meiyun Wang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-05-14       Impact factor: 10.057

3.  Skeletal Muscle CLARITY: A Preliminary Study of Imaging The Three-Dimensional Architecture of Blood Vessels and Neurons.

Authors:  Wen Li Zhang; Shao Hua Liu; Wei Chen Zhang; Wei Hu; Min Jiang; Amin Tamadon; Yi Feng
Journal:  Cell J       Date:  2018-03-18       Impact factor: 2.479

4.  Fast free-of-acrylamide clearing tissue (FACT)-an optimized new protocol for rapid, high-resolution imaging of three-dimensional brain tissue.

Authors:  Na Xu; Amin Tamadon; Yaan Liu; Tong Ma; Rehana K Leak; Jun Chen; Yanqin Gao; Yi Feng
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

5.  A Single-Cell Level and Connectome-Derived Computational Model of the Drosophila Brain.

Authors:  Yu-Chi Huang; Cheng-Te Wang; Ta-Shun Su; Kuo-Wei Kao; Yen-Jen Lin; Chao-Chun Chuang; Ann-Shyn Chiang; Chung-Chuan Lo
Journal:  Front Neuroinform       Date:  2019-01-10       Impact factor: 4.081

6.  Identification of Neuronal Polarity by Node-Based Machine Learning.

Authors:  Chen-Zhi Su; Kuan-Ting Chou; Hsuan-Pei Huang; Chiau-Jou Li; Ching-Che Charng; Chung-Chuan Lo; Daw-Wei Wang
Journal:  Neuroinformatics       Date:  2021-03-05
  6 in total

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