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Studying Brain Function in Children Using Magnetoencephalography
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Columnar connectome: toward a mathematics of brain function.

Anna Wang Roe1

  • 1Institute of Interdisciplinary Neuroscience and Technology, Zhejiang University, Hangzhou, China.

Network Neuroscience (Cambridge, Mass.)
|August 15, 2019
PubMed
Summary

Researchers propose a mesoscale connectome for primate brains, addressing a gap in current brain mapping. A novel, large-scale data acquisition method is presented to enable a mathematical understanding of brain function.

Keywords:
Artificial intelligenceBrain theoryCerebral cortexFunctional networksFunctional tract tracingMatrix mappingPrimate

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Brain Mapping

Background:

  • Understanding brain networks is crucial across neuroscience, psychology, medicine, and AI.
  • Current connectome projects map brain connections at macro- and microscales.
  • A mesoscale connectome, particularly in primates, remains largely unaddressed.

Purpose of the Study:

  • To highlight the necessity of a mesoscale connectome in the primate brain, termed the columnar connectome.
  • To introduce a novel, rapid, large-scale method for acquiring mesoscale connectome data.
  • To propose a framework for utilizing mesoscale connectome data to develop a mathematics of brain function.

Main Methods:

  • A viewpoint article outlining the need for mesoscale connectome data.
  • Presentation of a new methodology for high-throughput mesoscale data acquisition.
  • Conceptualization of data analysis for a mathematical theory of brain function.

Main Results:

  • Identified a critical gap in current brain connectome mapping at the mesoscale.
  • Proposed a novel method for efficient mesoscale primate brain data collection.
  • Outlined potential applications of mesoscale connectome data in theoretical neuroscience.

Conclusions:

  • A mesoscale (columnar) connectome is essential for a comprehensive understanding of primate brain function.
  • The proposed method facilitates rapid, large-scale data acquisition for mesoscale connectomics.
  • Mesoscale connectome data holds the potential to advance a mathematical framework for brain function.