Automatic Detection of Emotional Changes Induced by Social Support Loss Using fMRI

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dc.authorscopusid55807447100
dc.authorscopusid55942313100
dc.authorscopusid24339552000
dc.contributor.authorCandemir, Cemre
dc.contributor.authorGonul, Ali Saffet
dc.contributor.authorSelver, M. Alper
dc.date.accessioned2024-08-25T18:48:07Z
dc.date.available2024-08-25T18:48:07Z
dc.date.issued2023
dc.departmentEge Üniversitesien_US
dc.description.abstractWe propose using fMRI to study emotional changes related to social-support. In this respect, a Social Support fMRI task, which triggers emotional changes was designed and implemented. The detection of emotional changes from fMRI signals has significant importance in understanding the underlying mechanisms of social-support. Unfortunately, acquired signals exhibit a very low signal-to-noise ratio and strong inter-subject variations, which render the detection process a very challenging task. For this purpose, a three-phase detection system is designed. First, possible emotional change intervals are classified to isolate trivial samples and further process the challenging ones. Second, a new denoising strategy is proposed to preserve the structural waveform properties of the emotional changes, while removing noise. Third, fMRI signals are synthesized using trapezoidal modeling and a novel feature set is extracted to characterize the varying social-support levels. The analysis shows that emotional changes can be detected automatically up to a requisite level. Despite the results cannot be generalized for the entire population due to its small sample size, our findings are meaningful and suggest further research with larger datasets. The introduced task may enable further research and the proposed system may be used as a tool for social neuroscience studies.en_US
dc.description.sponsorshipTUBITAK project [116E133]en_US
dc.description.sponsorshipThis work was supported in part by TUBITAK project 116E133. The authors would like to thank all SoCAT teamen_US
dc.identifier.doi10.1109/TAFFC.2021.3059965
dc.identifier.endpage717en_US
dc.identifier.issn1949-3045
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85101277890en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage706en_US
dc.identifier.urihttps://doi.org/10.1109/TAFFC.2021.3059965
dc.identifier.urihttps://hdl.handle.net/11454/102156
dc.identifier.volume14en_US
dc.identifier.wosWOS:000965565900001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIEEE Transactions on Affective Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240825_Gen_US
dc.subjectFunctional magnetic resonance imagingen_US
dc.subjectTask analysisen_US
dc.subjectGamesen_US
dc.subjectTransient analysisen_US
dc.subjectSignal to noise ratioen_US
dc.subjectShapeen_US
dc.subjectFeature extractionen_US
dc.subjectfMRIen_US
dc.subjectchange point detection (CPD)en_US
dc.subjectBOLD signal denoisingen_US
dc.subjectsocial supporten_US
dc.subjectemotional change (EC)en_US
dc.subjectBrain Activityen_US
dc.subjectSignalen_US
dc.titleAutomatic Detection of Emotional Changes Induced by Social Support Loss Using fMRIen_US
dc.typeArticleen_US

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