Connectomes: from a sparsity of networks to large-scale databases

Kaiser, Marcus

doi:10.3389/fninf.2023.1170337

Connectomes: from a sparsity of networks to large-scale databases

Kaiser, Marcus

Authors

MARCUS KAISER MARCUS.KAISER@NOTTINGHAM.AC.UK
Professor of Neuroinformatics

Abstract

The analysis of whole brain networks started in the 1980s when only a handful of connectomes were available. In these early days, information about the human connectome was absent and one could only dream about having information about connectivity in a single human subject. Thanks to non-invasive methods such as diffusion imaging, we now know about connectivity in many species and, for some species, in many individuals. To illustrate the rapid change in availability of connectome data, the UK Biobank is on track to record structural and functional connectivity in 100,000 human subjects. Moreover, connectome data from a range of species is now available: from Caenorhabditis elegans and the fruit fly to pigeons, rodents, cats, non-human primates, and humans. This review will give a brief overview of what structural connectivity data is now available, how connectomes are organized, and how their organization shows common features across species. Finally, I will outline some of the current challenges and potential future work in making use of connectome information.

Citation

Kaiser, M. (2023). Connectomes: from a sparsity of networks to large-scale databases. Frontiers in Neuroinformatics, 17, Article 1170337. https://doi.org/10.3389/fninf.2023.1170337

Journal Article Type	Article
Acceptance Date	May 26, 2023
Online Publication Date	Jun 12, 2023
Publication Date	Jun 12, 2023
Deposit Date	Aug 12, 2023
Publicly Available Date	Aug 14, 2023
Journal	Frontiers in Neuroinformatics
Electronic ISSN	1662-5196
Publisher	Frontiers Media
Peer Reviewed	Peer Reviewed
Volume	17
Article Number	1170337
DOI	https://doi.org/10.3389/fninf.2023.1170337
Keywords	network science, connectome, brain connectivity, comparative connectomics, databases
Public URL	https://nottingham-repository.worktribe.com/output/22450193
Publisher URL	https://www.frontiersin.org/articles/10.3389/fninf.2023.1170337/full