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Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy

2019Journal article Open access
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dc.contributor.authorEsménio, Sofia
dc.contributor.authorSoares, José M.
dc.contributor.authorOliveira-Silva, P.
dc.contributor.authorZeidman, Peter
dc.contributor.authorRazi, Adeel
dc.contributor.authorGonçalves, Óscar F.
dc.contributor.authorCoutinho, Joana
dc.date.accessioned2019-02-26T12:34:30Z
dc.date.available2019-02-26T12:34:30Z
dc.date.issued2019
dc.description.abstractNeuroimaging studies in social neuroscience have largely relied on functional connectivity (FC) methods to characterize the functional integration between different brain regions. However, these methods have limited utility in social-cognitive studies that aim to understand the directed information flow among brain areas that underlies complex psychological processes. In this study we combined functional and effective connectivity approaches to characterize the functional integration within the Default Mode Network (DMN) and its role in self-perceived empathy. Forty-two participants underwent a resting state fMRI scan and completed a questionnaire of dyadic empathy. Independent Component Analysis (ICA) showed that higher empathy scores were associated with an increased contribution of the medial prefrontal cortex (mPFC) to the DMN spatial mode. Dynamic causal modelling (DCM) combined with Canonical Variance Analysis (CVA) revealed that this association was mediated indirectly by the posterior cingulate cortex (PCC) via the right inferior parietal lobule (IPL). More specifically, in participants with higher scores in empathy, the PCC had a greater effect on bilateral IPL and the right IPL had a greater influence on mPFC. These results highlight the importance of using analytic approaches that address directed and hierarchical connectivity within networks, when studying complex psychological phenomena, such as empathy.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationEsménio, S., Soares, J. M., Oliveira-Silva, P., Zeidman, P., Razi, A., Gonçalves, Ó. F., … Coutinho, J. (2019). Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-38801-6pt_PT
dc.identifier.doi10.1038/s41598-019-38801-6pt_PT
dc.identifier.eid85062025324
dc.identifier.issn2045-2322
dc.identifier.pmcPMC6385316
dc.identifier.pmid30796260
dc.identifier.urihttp://hdl.handle.net/10400.14/27013
dc.identifier.wos000459399400072
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherNature Publishing Grouppt_PT
dc.relationUMINHO/BPD/18/2017
dc.relationA definir
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleUsing resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleA definir
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//PD%2FBD%2F105963%2F2014/PT
oaire.citation.titleScientific Reportspt_PT
person.familyNameEsmenio
person.familyNameOliveira-Silva
person.familyNameRazi
person.familyNameGonçalves
person.givenNameSofia
person.givenNamePatrícia
person.givenNameAdeel
person.givenNameÓscar
person.identifier180837
person.identifier357136
person.identifier.ciencia-idDD1E-F0D1-6F65
person.identifier.orcid0000-0002-8155-1300
person.identifier.orcid0000-0001-6550-3790
person.identifier.orcid0000-0002-0779-9439
person.identifier.orcid0000-0003-2735-9155
person.identifier.ridL-3259-2014
person.identifier.ridG-5278-2010
person.identifier.scopus-author-id55839293800
person.identifier.scopus-author-id49962001700
person.identifier.scopus-author-id25031569200
person.identifier.scopus-author-id8668771500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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