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dc.contributor.authorIsherwood, S.J.S.
dc.contributor.authorBazin, PL.
dc.contributor.authorMiletić, S.
dc.contributor.authorStevenson, N.R.
dc.contributor.authorTrutti, A.C.
dc.contributor.authorTse, Desmond H. Y.
dc.contributor.authorHeathcote, A.
dc.contributor.authorMatzke, D.
dc.contributor.authorInnes, R.J.
dc.contributor.authorHabli, Sarah
dc.contributor.authorSokołowski, Daniel
dc.contributor.authorAlkemade, A.
dc.contributor.authorHåberg, Asta
dc.contributor.authorForstmann, B.U.
dc.date.accessioned2023-09-11T07:10:47Z
dc.date.available2023-09-11T07:10:47Z
dc.date.created2023-04-20T08:43:48Z
dc.date.issued2023
dc.identifier.citationNeuroImage. 2023, 271 .en_US
dc.identifier.issn1053-8119
dc.identifier.urihttps://hdl.handle.net/11250/3088544
dc.description.abstractResponse inhibition and interference resolution are often considered subcomponents of an overarching inhibition system that utilizes the so-called cortico-basal-ganglia loop. Up until now, most previous functional magnetic resonance imaging (fMRI) literature has compared the two using between-subject designs, pooling data in the form of a meta-analysis or comparing different groups. Here, we investigate the overlap of activation patterns underlying response inhibition and interference resolution on a within-subject level, using ultra-high field MRI. In this model-based study, we furthered the functional analysis with cognitive modelling techniques to provide a more in-depth understanding of behaviour. We applied the stop-signal task and multi-source interference task to measure response inhibition and interference resolution, respectively. Our results lead us to conclude that these constructs are rooted in anatomically distinct brain areas and provide little evidence for spatial overlap. Across the two tasks, common BOLD responses were observed in the inferior frontal gyrus and anterior insula. Interference resolution relied more heavily on subcortical components, specifically nodes of the commonly referred to indirect and hyperdirect pathways, as well as the anterior cingulate cortex, and pre-supplementary motor area. Our data indicated that orbitofrontal cortex activation is specific to response inhibition. Our model-based approach provided evidence for the dissimilarity in behavioural dynamics between the two tasks. The current work exemplifies the importance of reducing inter-individual variance when comparing network patterns and the value of UHF-MRI for high resolution functional mapping.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleInvestigating Intra-Individual Networks of Response Inhibition and Interference Resolution using 7T MRIen_US
dc.title.alternativeInvestigating Intra-Individual Networks of Response Inhibition and Interference Resolution using 7T MRIen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.volume271en_US
dc.source.journalNeuroImageen_US
dc.identifier.doi10.1016/j.neuroimage.2023.119988
dc.identifier.cristin2141986
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal