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Article: Negative Affect Shared with Siblings is Associated with Structural Brain Network Efficiency and Loneliness in Adolescents

TitleNegative Affect Shared with Siblings is Associated with Structural Brain Network Efficiency and Loneliness in Adolescents
Authors
Keywordsnetwork efficiency
loneliness
diffusion MRI
siblings
adolescence
Issue Date2019
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/neuroscience
Citation
Neuroscience, 2019, v. 421, p. 39-47 How to Cite?
AbstractLoneliness has a strong neurobiological basis reflected by its specific relationships with structural brain connectivity. Critically, affect traits are highly related to loneliness, which shows close association with the onset and severity of major depressive disorder. This diffusion imaging study was conducted on a sample of adolescent siblings to examine whether positive and negative affect traits were related to loneliness, with brain network efficiency playing a mediating role. The findings of this study confirmed that both global and average local efficiency negatively mediated the association between low positive affect and high negative affect and loneliness, and the mediation was more sensitive to sibling-shared affect traits. The findings have important implications for interventions targeted at reducing the detrimental impact of familiar negative emotional experiences and loneliness.
Persistent Identifierhttp://hdl.handle.net/10722/283984
ISSN
2019 Impact Factor: 3.056
2015 SCImago Journal Rankings: 1.768

 

DC FieldValueLanguage
dc.contributor.authorWONG, NML-
dc.contributor.authorShao, R-
dc.contributor.authorYeung, PPS-
dc.contributor.authorKhong, PL-
dc.contributor.authorHui, ES-
dc.contributor.authorSchooling, CM-
dc.contributor.authorLeung, GM-
dc.contributor.authorLee, TMC-
dc.date.accessioned2020-07-20T05:55:06Z-
dc.date.available2020-07-20T05:55:06Z-
dc.date.issued2019-
dc.identifier.citationNeuroscience, 2019, v. 421, p. 39-47-
dc.identifier.issn0306-4522-
dc.identifier.urihttp://hdl.handle.net/10722/283984-
dc.description.abstractLoneliness has a strong neurobiological basis reflected by its specific relationships with structural brain connectivity. Critically, affect traits are highly related to loneliness, which shows close association with the onset and severity of major depressive disorder. This diffusion imaging study was conducted on a sample of adolescent siblings to examine whether positive and negative affect traits were related to loneliness, with brain network efficiency playing a mediating role. The findings of this study confirmed that both global and average local efficiency negatively mediated the association between low positive affect and high negative affect and loneliness, and the mediation was more sensitive to sibling-shared affect traits. The findings have important implications for interventions targeted at reducing the detrimental impact of familiar negative emotional experiences and loneliness.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/neuroscience-
dc.relation.ispartofNeuroscience-
dc.subjectnetwork efficiency-
dc.subjectloneliness-
dc.subjectdiffusion MRI-
dc.subjectsiblings-
dc.subjectadolescence-
dc.titleNegative Affect Shared with Siblings is Associated with Structural Brain Network Efficiency and Loneliness in Adolescents-
dc.typeArticle-
dc.identifier.emailShao, R: rshao@hku.hk-
dc.identifier.emailYeung, PPS: patcyy@hku.hk-
dc.identifier.emailKhong, PL: plkhong@hku.hk-
dc.identifier.emailHui, ES: edshui@hku.hk-
dc.identifier.emailSchooling, CM: cms1@hkucc.hku.hk-
dc.identifier.emailLeung, GM: gmleung@hku.hk-
dc.identifier.emailLee, TMC: tmclee@hku.hk-
dc.identifier.authorityShao, R=rp02519-
dc.identifier.authorityYeung, PPS=rp00641-
dc.identifier.authorityKhong, PL=rp00467-
dc.identifier.authorityHui, ES=rp01832-
dc.identifier.authoritySchooling, CM=rp00504-
dc.identifier.authorityLeung, GM=rp00460-
dc.identifier.authorityLee, TMC=rp00564-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.neuroscience.2019.09.028-
dc.identifier.pmid31678342-
dc.identifier.scopuseid_2-s2.0-85074665844-
dc.identifier.hkuros311291-
dc.identifier.volume421-
dc.identifier.spage39-
dc.identifier.epage47-
dc.publisher.placeNetherlands-

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