Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/105883
DC FieldValueLanguage
dc.contributor.authorMeissner, Tobias W-
dc.contributor.authorWalbrin, Jon-
dc.contributor.authorNordt, Marisa-
dc.contributor.authorKoldewyn, Kami-
dc.contributor.authorWeigelt, Sarah-
dc.date.accessioned2023-03-14T10:05:45Z-
dc.date.available2023-03-14T10:05:45Z-
dc.date.issued2020-08-
dc.identifier.issn18789293pt
dc.identifier.urihttps://hdl.handle.net/10316/105883-
dc.description.abstractHead motion remains a challenging confound in functional magnetic resonance imaging (fMRI) studies of both children and adults. Most pediatric neuroimaging labs have developed experience-based, child-friendly standards concerning e.g. the maximum length of a session or the time between mock scanner training and actual scanning. However, it is unclear which factors of child-friendly neuroimaging approaches are effective in reducing head motion. Here, we investigate three main factors including (i) time lag of mock scanner training to the actual scan, (ii) prior scan time, and (iii) task engagement in a dataset of 77 children (aged 6-13) and 64 adults (aged 18-35) using a multilevel modeling approach. In children, distributing fMRI data acquisition across multiple same-day sessions reduces head motion. In adults, motion is reduced after inside-scanner breaks. Despite these positive effects of splitting up data acquisition, motion increases over the course of a study as well as over the course of a run in both children and adults. Our results suggest that splitting up fMRI data acquisition is an effective tool to reduce head motion in general. At the same time, different ways of splitting up data acquisition benefit children and adults.pt
dc.language.isoengpt
dc.publisherElsevierpt
dc.relationPhD scholarship of the Konrad- Adenauer-Foundation and an International Realization Budget of the Ruhr University Bochum Research School PLUS through funds of the German Research Foundation’s Universities Excellence Initiative (GSC 98/3) to TWMpt
dc.relationBangor School of Psychology funded PhD Scholarshippt
dc.relationPhD scholarship of the German Academic Scholarship Foundationpt
dc.relationERC Starting Grant (Becoming Social, 716974)pt
dc.relationDeutsche Forschungsgemeinschaft (DFG, German Research Foundation, project number WE 5802/1-1 and project number 316803389 – SFB 1280 project A16)pt
dc.relationMercator Research Center Ruhr (AN-2014-0056)pt
dc.relationVolkswagen Foundation (Lichtenberg Professorship, 97 079)pt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt
dc.subjectMovementpt
dc.subjectData qualitypt
dc.subjectPediatric neuroimagingpt
dc.subjectMock scanner trainingpt
dc.subjectStudy designpt
dc.subjectDevelopmentpt
dc.subject.meshAdolescentpt
dc.subject.meshAdultpt
dc.subject.meshChildpt
dc.subject.meshFemalept
dc.subject.meshHeadpt
dc.subject.meshHumanspt
dc.subject.meshMagnetic Resonance Imagingpt
dc.subject.meshMalept
dc.subject.meshNeuroimagingpt
dc.subject.meshYoung Adultpt
dc.titleHead motion during fMRI tasks is reduced in children and adults if participants take breakspt
dc.typearticle-
degois.publication.firstPage100803pt
degois.publication.titleDevelopmental Cognitive Neurosciencept
dc.peerreviewedyespt
dc.identifier.doi10.1016/j.dcn.2020.100803pt
degois.publication.volume44pt
dc.date.embargo2020-08-01*
uc.date.periodoEmbargo0pt
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypearticle-
item.fulltextCom Texto completo-
item.grantfulltextopen-
item.cerifentitytypePublications-
crisitem.author.researchunitCenter for Research in Neuropsychology and Cognitive Behavioral Intervention-
Appears in Collections:FPCEUC - Artigos em Revistas Internacionais
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