Assessing the repeatability of multi-frequency multi-layer brain network topologies across alternative researcher's choice paths

Dimitriadis, Stavros I. ORCID: https://orcid.org/0000-0002-0000-5392 2022. Assessing the repeatability of multi-frequency multi-layer brain network topologies across alternative researcher's choice paths. Neuroinformatics 10.1007/s12021-022-09610-6

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Abstract

There is a growing interest in the neuroscience community on the advantages of multilayer functional brain networks. Researchers usually treated different frequencies separately at distinct functional brain networks. However, there is strong evidence that these networks share complementary information while their interdependencies could reveal novel findings. For this purpose, neuroscientists adopt multilayer networks, which can be described mathematically as an extension of trivial single-layer networks. Multilayer networks have become popular in neuroscience due to their advantage to integrate different sources of information. Here, Ι will focus on the multi-frequency multilayer functional connectivity analysis on resting-state fMRI (rs-fMRI) recordings. However, constructing a multilayer network depends on selecting multiple pre-processing steps that can affect the final network topology. Here, I analyzed the rs-fMRI dataset from a single human performing scanning over a period of 18 months (84 scans in total), and the rs-fMRI dataset containing 25 subjects with 3 repeat scans. I focused on assessing the reproducibility of multi-frequency multilayer topologies exploring the effect of two filtering methods for extracting frequencies from BOLD activity, three connectivity estimators, with or without a topological filtering scheme, and two spatial scales. Finally, I untangled specific combinations of researchers’ choices that yield consistently brain networks with repeatable topologies, giving me the chance to recommend best practices over consistent topologies.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Psychology
Publisher:	Springer
ISSN:	1539-2791
Date of First Compliant Deposit:	28 November 2022
Date of Acceptance:	5 October 2022
Last Modified:	14 Nov 2023 17:05
URI:	https://orca.cardiff.ac.uk/id/eprint/154509

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