Modular structure of brain functional networks: breaking the resolution limit by Surprise

Scientific Reports
Carlo Nicolini, Angelo Bifone

Abstract

The modular organization of brain networks has been widely investigated using graph theoretical approaches. Recently, it has been demonstrated that graph partitioning methods based on the maximization of global fitness functions, like Newman's Modularity, suffer from a resolution limit, as they fail to detect modules that are smaller than a scale determined by the size of the entire network. Here we explore the effects of this limitation on the study of brain connectivity networks. We demonstrate that the resolution limit prevents detection of important details of the brain modular structure, thus hampering the ability to appreciate differences between networks and to assess the topological roles of nodes. We show that Surprise, a recently proposed fitness function based on probability theory, does not suffer from these limitations. Surprise maximization in brain co-activation and functional connectivity resting state networks reveals the presence of a rich structure of heterogeneously distributed modules, and differences in networks' partitions that are undetectable by resolution-limited methods. Moreover, Surprise leads to a more accurate identification of the network's connector hubs, the elements that integrate the brain mo...Continue Reading

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Citations

Aug 19, 2016·Scientific Reports·Giampiero BardellaTiziano Squartini
Nov 2, 2017·Scientific Reports·Elisabeth C CaparelliYihong Yang
Sep 6, 2017·Scientific Reports·Vladimir Vlasov, Angelo Bifone
Dec 14, 2018·Brain Connectivity·Nitin WilliamsJ Matias Palva
Jan 1, 2016·Stat : the ISI's Journal for Rapid Dissemination of Statistics Research·Suprateek Kundu, Jian Kang
Sep 29, 2018·Scientific Reports·Ju XiangJian-Ming Li
Feb 1, 2017·Network Neuroscience·Richard F BetzelDanielle S Bassett
Jan 22, 2021·Lab on a Chip·Myung Uk ParkKyung-Hwa Yoo
May 23, 2016·Current Opinion in Neurobiology·Bratislav Mišić, Olaf Sporns
Sep 2, 2021·Addiction Biology·Cecile BordierAngelo Bifone

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Software Mentioned

GNU
Surprise
Modularity
Octave
BrainMap
Brain Connectivity Toolbox
Linux Optimizer
Gurobi
Infomap

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