Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/66221 |
Resumo: | Neuroimaging 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. |
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Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathyCiências Sociais::SociologiaScience & TechnologyNeuroimaging 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.- This study was funded by BIAL Foundation (Grant number 87/12); by the Portuguese Foundation for Science and Technology and the Portuguese Ministry of Education and Science through national funds and co-financed by FEDER through COMPETE2020 under the PT2020 Partnership Agreement (POCI-01-0145-FEDER-007653); by the postdoctoral scholarship UMINHO/BPD/18/2017 and by the Portuguese Foundation for Science Doctoral scholarship (PD/BD/105963/2014). This work was conducted at Psychology Research Centre (UID/PSI/01662/2013), University of Minho.Nature Publishing GroupUniversidade do MinhoEsmenio, SofiaSoares, José Miguel MontenegroOliveira-Silva, P.Zeidman, PeterRazi, AdeelGonçalves, Óscar F.Friston, KarlCoutinho, Joana Fernandes Pereira2019-02-222019-02-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/66221engEsménio, S., Soares, J. M., Oliveira-Silva, P., Zeidman, P., Razi, A., et. al.(2019). Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy. Scientific reports, 9(1), 1-92045-232210.1038/s41598-019-38801-630796260info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:45:23Zoai:repositorium.sdum.uminho.pt:1822/66221Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:43:11.038415Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy |
title |
Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy |
spellingShingle |
Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy Esmenio, Sofia Ciências Sociais::Sociologia Science & Technology |
title_short |
Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy |
title_full |
Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy |
title_fullStr |
Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy |
title_full_unstemmed |
Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy |
title_sort |
Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy |
author |
Esmenio, Sofia |
author_facet |
Esmenio, Sofia Soares, José Miguel Montenegro Oliveira-Silva, P. Zeidman, Peter Razi, Adeel Gonçalves, Óscar F. Friston, Karl Coutinho, Joana Fernandes Pereira |
author_role |
author |
author2 |
Soares, José Miguel Montenegro Oliveira-Silva, P. Zeidman, Peter Razi, Adeel Gonçalves, Óscar F. Friston, Karl Coutinho, Joana Fernandes Pereira |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Esmenio, Sofia Soares, José Miguel Montenegro Oliveira-Silva, P. Zeidman, Peter Razi, Adeel Gonçalves, Óscar F. Friston, Karl Coutinho, Joana Fernandes Pereira |
dc.subject.por.fl_str_mv |
Ciências Sociais::Sociologia Science & Technology |
topic |
Ciências Sociais::Sociologia Science & Technology |
description |
Neuroimaging 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. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-02-22 2019-02-22T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/66221 |
url |
http://hdl.handle.net/1822/66221 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Esménio, S., Soares, J. M., Oliveira-Silva, P., Zeidman, P., Razi, A., et. al.(2019). Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy. Scientific reports, 9(1), 1-9 2045-2322 10.1038/s41598-019-38801-6 30796260 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Nature Publishing Group |
publisher.none.fl_str_mv |
Nature Publishing Group |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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