eprintid: 3553
rev_number: 8
eprint_status: archive
userid: 69
dir: disk0/00/00/35/53
datestamp: 2016-10-04 11:13:27
lastmod: 2016-10-04 11:13:27
status_changed: 2016-10-04 11:13:27
type: article
metadata_visibility: show
creators_name: Bardella, Giampiero
creators_name: Bifone, Angelo
creators_name: Gabrielli, Andrea
creators_name: Gozzi, Alessandro
creators_name: Squartini, Tiziano
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: tiziano.squartini@imtlucca.it
title: Hierarchical organization of functional connectivity in the mouse brain: a complex network approach
ispublished: pub
subjects: QC
divisions: CSA
full_text_status: public
keywords: Applied physics, Complex networks
abstract: This paper represents a contribution to the study of the brain functional connectivity from the perspective of complex networks theory. More specifically, we apply graph theoretical analyses to provide evidence of the modular structure of the mouse brain and to shed light on its hierarchical organization. We propose a novel percolation analysis and we apply our approach to the analysis of a resting-state functional MRI data set from 41 mice. This approach reveals a robust hierarchical structure of modules persistent across different subjects. Importantly, we test this approach against a statistical benchmark (or null model) which constrains only the distributions of empirical correlations. Our results unambiguously show that the hierarchical character of the mouse brain modular structure is not trivially encoded into this lower-order constraint. Finally, we investigate the modular structure of the mouse brain by computing the Minimal Spanning Forest, a technique that identifies subnetworks characterized by the strongest internal correlations. This approach represents a faster alternative to other community detection methods and provides a means to rank modules on the basis of the strength of their internal edges.
date: 2016
date_type: published
publication: Scientific Reports
volume: 6
publisher: Nature Publishing Group
pagerange: 32060
id_number: 10.1038/srep32060
refereed: TRUE
issn: 2045-2322
official_url: http://doi.org/10.1038/srep32060
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projects: EU project FET-Open FOC (grant num. 255987)
projects: FET Project SIMPOL (nr. 610704)
projects: FET project DOLFINS (grant num. 640772)
citation:   Bardella, Giampiero and Bifone, Angelo and Gabrielli, Andrea and Gozzi, Alessandro and Squartini, Tiziano  Hierarchical organization of functional connectivity in the mouse brain: a complex network approach.  Scientific Reports, 6.  p. 32060.  ISSN 2045-2322      (2016)  
document_url: http://eprints.imtlucca.it/3553/1/srep32060.pdf