Imperial College London
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DrPaulExpert

Faculty of Medicine, School of Public Health

Honorary Research Associate
 
 
 
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Contact

 

paul.expert08

 
 
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Location

 

Reynolds BuildingCharing Cross Campus

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Summary

 

Publications

Citation

BibTex format

@article{Patania:2019:10.1162/netn_a_00094,
author = {Patania, A and Selvaggi, P and Veronese, M and Dipasquale, O and Expert, P and Petri, G},
doi = {10.1162/netn_a_00094},
journal = {Network Neuroscience},
pages = {744--762},
title = {Topological gene-expression networks recapitulate brain anatomy and function},
url = {http://dx.doi.org/10.1162/netn_a_00094},
volume = {3},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Understanding how gene expression translates to and affects human behaviour is one of the ultimate goals of neuroscience. In this paper, we present a pipeline based on Mapper, a topological simplification tool, to analyze genes 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 returns 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.
AU  - Patania,A
AU  - Selvaggi,P
AU  - Veronese,M
AU  - Dipasquale,O
AU  - Expert,P
AU  - Petri,G
DO  - 10.1162/netn_a_00094
EP  - 762
PY  - 2019///
SN  - 2472-1751
SP  - 744
TI  - Topological gene-expression networks recapitulate brain anatomy and function
T2  - Network Neuroscience
UR  - http://dx.doi.org/10.1162/netn_a_00094
UR  - http://hdl.handle.net/10044/1/70118
VL  - 3
ER  -
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