Geometric effects of volume-to-surface mapping of fMRI data.
Artificial correlations
Cortical organization
Functional MRI
Volume-to-surface mapping
Journal
Brain structure & function
ISSN: 1863-2661
Titre abrégé: Brain Struct Funct
Pays: Germany
ID NLM: 101282001
Informations de publication
Date de publication:
Sep 2022
Sep 2022
Historique:
received:
05
11
2021
accepted:
26
06
2022
pubmed:
28
7
2022
medline:
31
8
2022
entrez:
27
7
2022
Statut:
ppublish
Résumé
In this work, we identify a problem with the process of volume-to-surface mapping of functional Magnetic Resonance Imaging (fMRI) data that emerges in local connectivity analysis. We show that neighborhood correlations on the surface of the brain vary spatially with the gyral structure, even when the underlying volumetric data are uncorrelated noise. This could potentially have impacted studies focusing upon local neighborhood connectivity. We explore the effects of this anomaly across varying data resolutions and surface mesh densities, and propose several measures to mitigate these unwanted effects.
Identifiants
pubmed: 35895147
doi: 10.1007/s00429-022-02536-4
pii: 10.1007/s00429-022-02536-4
pmc: PMC9418299
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2457-2464Subventions
Organisme : NIMH NIH HHS
ID : RF1 MH117428
Pays : United States
Organisme : NIMH NIH HHS
ID : R24MH117428-01
Pays : United States
Organisme : Malta Council for Science and Technology
ID : REP_2020_005
Organisme : NIMH NIH HHS
ID : R24MH114806
Pays : United States
Informations de copyright
© 2022. The Author(s).
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