A Python Hands-on Tutorial on Network and Topological Neuroscience

Eduarda Gervini Zampieri Centeno*, Giulia Moreni, Chris Vriend, Linda Douw, Fernando Antônio N. brega Santos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


Network neuroscience investigates brain functioning through the prism of connectivity, and graph theory has been the main framework to understand brain networks. Recently, an alternative framework has gained attention: topological data analysis. It provides a set of metrics that go beyond pairwise connections and offer improved robustness against noise. Here, our goal is to provide an easy-to-grasp theoretical and computational tutorial to explore neuroimaging data using these frameworks, facilitating their accessibility, data visualisation, and comprehension for newcomers to the field. We provide a concise (and by no means complete) theoretical overview of the two frameworks and a computational guide on the computation of both well-established and newer metrics using a publicly available resting-state functional magnetic resonance imaging dataset. Moreover, we have developed a pipeline for three-dimensional (3-D) visualisation of high order interactions in brain networks.
Original languageEnglish
Title of host publicationGeometric Science of Information - 5th International Conference, GSI 2021, Proceedings
EditorsFrank Nielsen, Frédéric Barbaresco
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages9
Volume12829 LNCS
ISBN (Print)9783030802080
Publication statusPublished - 2021
Event5th International Conference on Geometric Science of Information, GSI 2021 - Paris, France
Duration: 21 Jul 202123 Jul 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12829 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference5th International Conference on Geometric Science of Information, GSI 2021

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