Discovering prominent differences in structural and functional connectomes using a multinomial stochastic block model.

Nina Braad Iskov, Anders Stevnhoved Olsen, Kristoffer Hougaard Madsen, Morten Mørup

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Article in Network neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Nina Braad IskovDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.

Anders Stevnhoved OlsenDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.ORCID https://orcid.org/0000-0002-1275-6660

Kristoffer Hougaard MadsenDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.ORCID https://orcid.org/0000-0001-8606-7641

Morten MørupDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.ORCID https://orcid.org/0000-0003-4985-4368

Funding

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6 · The paper itself

Abstract

Understanding the differences between functional and structural human brain connectivity has been a focus of an extensive amount of neuroscience research. We employ a novel approach using the multinomial stochastic block model (MSBM) to explicitly extract components that characterize prominent differences across graphs. We analyze structural and functional connectomes derived from high-resolution diffusion-weighted MRI and fMRI scans of 250 Human Connectome Project subjects, analyzed at group connectivity level across 50 subjects. The inferred brain partitions revealed consistent, spatially homogeneous clustering patterns across inferred resolutions demonstrating the MSBM's reliability in identifying brain areas with prominent structure-function differences. Prominent differences in low-resolution brain maps (

Indexed as

Bayesian inferenceDifference modelingFunctional connectivityMultinomial stochastic block modelStructural connectivity

Identifiers

PMID39735501

DOI10.1162/netn_a_00399

PMCPMC11674489

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.