Morphological Versus Functional Network Organization: A Comparison Between Structural Covariance Networks and Probabilistic Functional Modes

Petra Lenzini, Tom Earnest, Sung Min Ha, Abdalla Bani, Aristeidis Sotiras, Janine Bijsterbosch

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

Abstract

The degree to which gray matter morphology constrains brain function remains an elusive target of investigation due to the lack of a gold-standard against which to argue for a better or worse metric of neurobiological significance. Therefore, we sought to compare the output of state-of-the-art morphological and functional covariance decomposition methods directly to one another. Specifically, we compared the spatial network organization produced by non-negative matrix factorization of T1-weighted images and probabilistic functional modes of resting state functional MRI scans from 1297 UK Biobank subjects. We measured the cosine similarity of matched networks across 2 to 140 rank decompositions. Our findings revealed strong commonality between morphological and functional networks at the lowest rank (2). Morphology-function network commonality was retained across all ranks in the visual cortex, but broader network organization diverged between morphology and function at higher ranks.

Original languageEnglish
Title of host publicationMachine Learning in Clinical Neuroimaging - 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Proceedings
EditorsAhmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Sindhuja T. Govindarajan, Mohamad Habes, Vinod Kumar, Esten Leonardsen, Thomas Wolfers, Yiming Xiao
PublisherSpringer Science and Business Media Deutschland GmbH
Pages163-172
Number of pages10
ISBN (Print)9783031448577
DOIs
StatePublished - 2023
Event6th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2023 - Vancouver, Canada
Duration: Oct 8 2023Oct 12 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14312 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2023
Country/TerritoryCanada
CityVancouver
Period10/8/2310/12/23

Keywords

  • NMF
  • T1
  • probabilistic functional modes
  • rsfMRI

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