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- Publisher Website: 10.1111/jcpp.13123
- Scopus: eid_2-s2.0-85073801361
- PMID: 31512744
- WOS: WOS:000486154600001
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Article: Intrinsic neural circuitry of depression in adolescent females
Title | Intrinsic neural circuitry of depression in adolescent females |
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Authors | |
Keywords | adolescence Depression fMRI neural network |
Issue Date | 2020 |
Publisher | Wiley-Blackwell Publishing Ltd. The Journal's web site is located at http://www.wiley.com/bw/journal.asp?ref=0021-9630 |
Citation | Journal of Child Psychology and Psychiatry, 2020, v. 61 n. 4, p. 480-491 How to Cite? |
Abstract | Background: Adolescence is characterized by affective and cognitive changes that increase vulnerability to depression, especially in females. Neurodevelopmental models attribute adolescent depression to abnormal responses in amygdala, striatum, and prefrontal cortex (PFC). We examined whether the strength of functional brain networks involving these regions predicts depression symptoms in adolescent females. Methods: In this longitudinal study, we recorded resting-state functional connectivity (RSFC) in 174 adolescent females. Using a cross-validation strategy, we related RSFC profiles that included (a) a network consisting of amygdala, striatum, and PFC (within-circuit model), (b) connectivity of this network to the whole brain (extended-circuit model), and (c) a network consisting of the entire brain (whole-brain model) to depression symptoms assessed concurrently and 18 months later. Results: In testing subsets, the within-circuit RSFC profiles were associated with depression symptoms concurrently and 18 months later, while the extended-circuit and whole-brain model did not explain any additional variance in depression symptoms. Connectivity related to anterior cingulate and ventromedial prefrontal cortex contributed most to the association. Conclusions: Our results demonstrate that RSFC-based brain networks that include amygdala, striatum, and PFC are stable neural signatures of concurrent and future depression symptoms, representing a significant step toward identifying the neural mechanism of depression in adolescence. © 2019 Association for Child and Adolescent Mental Health |
Persistent Identifier | http://hdl.handle.net/10722/290085 |
ISSN | 2023 Impact Factor: 6.5 2023 SCImago Journal Rankings: 3.133 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Jin, J | - |
dc.contributor.author | Van Snellenberg, JXV | - |
dc.contributor.author | Perlman, G | - |
dc.contributor.author | DeLorenzo, C | - |
dc.contributor.author | Klein, DN | - |
dc.contributor.author | Kotov, R | - |
dc.contributor.author | Mohanty, A | - |
dc.date.accessioned | 2020-10-22T08:21:54Z | - |
dc.date.available | 2020-10-22T08:21:54Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Journal of Child Psychology and Psychiatry, 2020, v. 61 n. 4, p. 480-491 | - |
dc.identifier.issn | 0021-9630 | - |
dc.identifier.uri | http://hdl.handle.net/10722/290085 | - |
dc.description.abstract | Background: Adolescence is characterized by affective and cognitive changes that increase vulnerability to depression, especially in females. Neurodevelopmental models attribute adolescent depression to abnormal responses in amygdala, striatum, and prefrontal cortex (PFC). We examined whether the strength of functional brain networks involving these regions predicts depression symptoms in adolescent females. Methods: In this longitudinal study, we recorded resting-state functional connectivity (RSFC) in 174 adolescent females. Using a cross-validation strategy, we related RSFC profiles that included (a) a network consisting of amygdala, striatum, and PFC (within-circuit model), (b) connectivity of this network to the whole brain (extended-circuit model), and (c) a network consisting of the entire brain (whole-brain model) to depression symptoms assessed concurrently and 18 months later. Results: In testing subsets, the within-circuit RSFC profiles were associated with depression symptoms concurrently and 18 months later, while the extended-circuit and whole-brain model did not explain any additional variance in depression symptoms. Connectivity related to anterior cingulate and ventromedial prefrontal cortex contributed most to the association. Conclusions: Our results demonstrate that RSFC-based brain networks that include amygdala, striatum, and PFC are stable neural signatures of concurrent and future depression symptoms, representing a significant step toward identifying the neural mechanism of depression in adolescence. © 2019 Association for Child and Adolescent Mental Health | - |
dc.language | eng | - |
dc.publisher | Wiley-Blackwell Publishing Ltd. The Journal's web site is located at http://www.wiley.com/bw/journal.asp?ref=0021-9630 | - |
dc.relation.ispartof | Journal of Child Psychology and Psychiatry | - |
dc.rights | Preprint This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Postprint This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. | - |
dc.subject | adolescence | - |
dc.subject | Depression | - |
dc.subject | fMRI | - |
dc.subject | neural network | - |
dc.title | Intrinsic neural circuitry of depression in adolescent females | - |
dc.type | Article | - |
dc.identifier.email | Jin, J: jinfranj@hku.hk | - |
dc.identifier.authority | Jin, J=rp02610 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.1111/jcpp.13123 | - |
dc.identifier.pmid | 31512744 | - |
dc.identifier.pmcid | PMC7065934 | - |
dc.identifier.scopus | eid_2-s2.0-85073801361 | - |
dc.identifier.hkuros | 316447 | - |
dc.identifier.volume | 61 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 480 | - |
dc.identifier.epage | 491 | - |
dc.identifier.isi | WOS:000486154600001 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0021-9630 | - |