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dc.contributor.authorSjuls, Guro Stensby
dc.contributor.authorSpecht, Karsten
dc.date.accessioned2023-01-13T13:38:40Z
dc.date.available2023-01-13T13:38:40Z
dc.date.issued2022-12-13
dc.description.abstractIntroduction: Replicability has become an increasing focus within the scientific communities with the ongoing ‘‘replication crisis.’’ One area that appears to struggle with unreliable results is resting-state functional magnetic resonance imaging (rs-fMRI). Therefore, the current study aimed at improving the knowledge of endogenous factors that contribute to inter-individual variability. Methods: Arterial blood pressure (BP), body mass, hematocrit, and glycated hemoglobin were investigated as potential sources of between-subject variability in rs-fMRI, in healthy individuals. Whether changes in restingstate networks (rs-networks) could be attributed to variability in the blood-oxygen-level-dependent (BOLD)- signal, changes in neuronal activity, or both was of special interest. Within-subject parameters were estimated by utilizing dynamic-causal modeling, as it allows to make inferences on the estimated hemodynamic (BOLD-signal dynamics) and neuronal parameters (effective connectivity) separately. Results: The results of the analyses imply that BP and body mass can cause between-subject and between-group variability in the BOLD-signal and that all the included factors can affect the underlying connectivity. Discussion: Given the results of the current and previous studies, rs-fMRI results appear to be susceptible to a range of factors, which is likely to contribute to the low degree of replicability of these studies. Interestingly, the highest degree of variability seems to appear within the much-studied default mode network and its connections to other networks.en_US
dc.identifier.citationSjuls, Specht. Variability in Resting-State Functional Magnetic Resonance Imaging: The Effect of Body Mass, Blood Pressure, Hematocrit, and Glycated Hemoglobin on Hemodynamic and Neuronal Parameters. Brain Connectivity. 2022;12(10):870-882en_US
dc.identifier.cristinIDFRIDAID 2102057
dc.identifier.doi10.1089/brain.2021.0125
dc.identifier.issn2158-0014
dc.identifier.issn2158-0022
dc.identifier.urihttps://hdl.handle.net/10037/28217
dc.language.isoengen_US
dc.publisherMary Ann Liebert, Inc.en_US
dc.relation.journalBrain Connectivity
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0en_US
dc.rightsAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)en_US
dc.titleVariability in Resting-State Functional Magnetic Resonance Imaging: The Effect of Body Mass, Blood Pressure, Hematocrit, and Glycated Hemoglobin on Hemodynamic and Neuronal Parametersen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)