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Topological gene-expression networks recapitulate brain anatomy and function

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)744-762
Number of pages19
JournalNetwork Neuroscience
Volume3
Issue number3
Early online date15 Jul 2019
DOIs
Accepted/In press30 Apr 2019
E-pub ahead of print15 Jul 2019

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King's Authors

Abstract

Understanding how gene expression translates to and affects human behavior is one of the ultimate goals of neuroscience. In this paper, we present a pipeline based on Mapper, a topological simplification tool, to analyze gene co-expression data. We first validate the method by reproducing key results from the literature on the Allen Human Brain Atlas and the correlations between resting-state fMRI and gene co-expression maps. We then analyze a dopamine-related gene set and find that co-expression networks produced by Mapper return a structure that matches the well-known anatomy of the dopaminergic pathway. Our results suggest that network based descriptions can be a powerful tool to explore the relationships between genetic pathways and their association with brain function and its perturbation due to illness and/or pharmacological challenges.

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