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Article: Decoupling between hub-connected functional connectivity of the social brain network and real-world social network in individuals with social anhedonia

TitleDecoupling between hub-connected functional connectivity of the social brain network and real-world social network in individuals with social anhedonia
Authors
KeywordsBrain hub
Left temporal lobe
Social anhedonia
Social brain network
Social network
Issue Date2022
Citation
Psychiatry Research Neuroimaging, 2022, v. 326, article no. 111528 How to Cite?
AbstractAltered hub regions in brain network have been consistently reported in patients with schizophrenia. However, it is unclear whether similar altered hub regions of the brain would be exhibited in individuals with subclinical features of schizophrenia such as social anhedonia (SA). In this study, we examined the hub regions of resting-state social brain network (SBN) of 35 participants with SA and 50 healthy controls (HC). We further examined the prediction effect of hub-connected FCs with SBN on the real-life social network characteristics. Our findings showed that the right amygdala, left temporal lobe and right media superior frontal gyrus were the hub regions of SBN both in SA and HC groups. In the SA group, the left temporal lobe connected functional connectivity (FC) did not predict social network characteristics, while the other FCs strengthened the association with social network characteristics. These findings were replicated in an independent sample of 33 SA and 32 HC. These findings suggested that the left temporal lobe as one of the hub regions of SBN exhibited the abnormality of their connected FCs in the association with social network characteristics in individuals with SA.
Persistent Identifierhttp://hdl.handle.net/10722/368070
ISSN
2023 Impact Factor: 2.1
2023 SCImago Journal Rankings: 0.797

 

DC FieldValueLanguage
dc.contributor.authorZhang, Yi jing-
dc.contributor.authorHu, Hui xin-
dc.contributor.authorWang, Ling ling-
dc.contributor.authorWang, Xuan-
dc.contributor.authorWang, Yi-
dc.contributor.authorHuang, Jia-
dc.contributor.authorWang, Ya-
dc.contributor.authorLui, Simon S.Y.-
dc.contributor.authorHui, Li-
dc.contributor.authorChan, Raymond C.K.-
dc.date.accessioned2025-12-19T08:01:36Z-
dc.date.available2025-12-19T08:01:36Z-
dc.date.issued2022-
dc.identifier.citationPsychiatry Research Neuroimaging, 2022, v. 326, article no. 111528-
dc.identifier.issn0925-4927-
dc.identifier.urihttp://hdl.handle.net/10722/368070-
dc.description.abstractAltered hub regions in brain network have been consistently reported in patients with schizophrenia. However, it is unclear whether similar altered hub regions of the brain would be exhibited in individuals with subclinical features of schizophrenia such as social anhedonia (SA). In this study, we examined the hub regions of resting-state social brain network (SBN) of 35 participants with SA and 50 healthy controls (HC). We further examined the prediction effect of hub-connected FCs with SBN on the real-life social network characteristics. Our findings showed that the right amygdala, left temporal lobe and right media superior frontal gyrus were the hub regions of SBN both in SA and HC groups. In the SA group, the left temporal lobe connected functional connectivity (FC) did not predict social network characteristics, while the other FCs strengthened the association with social network characteristics. These findings were replicated in an independent sample of 33 SA and 32 HC. These findings suggested that the left temporal lobe as one of the hub regions of SBN exhibited the abnormality of their connected FCs in the association with social network characteristics in individuals with SA.-
dc.languageeng-
dc.relation.ispartofPsychiatry Research Neuroimaging-
dc.subjectBrain hub-
dc.subjectLeft temporal lobe-
dc.subjectSocial anhedonia-
dc.subjectSocial brain network-
dc.subjectSocial network-
dc.titleDecoupling between hub-connected functional connectivity of the social brain network and real-world social network in individuals with social anhedonia-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.pscychresns.2022.111528-
dc.identifier.scopuseid_2-s2.0-85136307574-
dc.identifier.volume326-
dc.identifier.spagearticle no. 111528-
dc.identifier.epagearticle no. 111528-
dc.identifier.eissn1872-7506-

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