Ventral attention-network effective connectivity predicts individual differences in adolescent depression
•We enclosed the relationship between depression and within network effective connectivity of the ventral attention network in adolescents.•We explored the neural correlates of attention bias in higher self-reported depression disorder of adolescents. Stimulus-driven negative attention bias is a cen...
Gespeichert in:
Veröffentlicht in: | Journal of affective disorders 2019-06, Vol.252, p.55-59 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 59 |
---|---|
container_issue | |
container_start_page | 55 |
container_title | Journal of affective disorders |
container_volume | 252 |
creator | Liu, Jie Xu, Pengfei Zhang, Jingyuan Jiang, Nengzhi Li, Xinying Luo, Yuejia |
description | •We enclosed the relationship between depression and within network effective connectivity of the ventral attention network in adolescents.•We explored the neural correlates of attention bias in higher self-reported depression disorder of adolescents.
Stimulus-driven negative attention bias is a central deficit in depression and might play an important role in vulnerability to depression Adolescents are susceptible to depression. Thus, investigating the neural correlates of attention bias in adolescents is a critical step for identifying neural markers of early onset of depression. Previous studies have shown that the ventral attention network (VAN), which includes bilateral ventrolateral prefrontal cortex (VLPFC) and bilateral temporal-parietal junction (TPJ), is the key brain network for stimulus-driven attention. However, the relationship between depression and effective connectivity within the VAN in adolescents is poorly understood.
We employed resting-state fMRI to assess the relationship between directional effective connectivity within the VAN and depression scores in 216 healthy adolescents.
Using stochastic dynamic modeling, we found that individuals who exhibited higher self-reported depression showed stronger effective connectivity between right VLPFC and left TPJ within the VAN.
The level of depression in this study was assessed with self-reported questionnaire. This measure might be more influenced by current mood in adolescents than that in adults. Future studies should emplo more objective measures to index levels of depression.
Our findings indicate that effective connectivity between right VLPFC and left TPJ could at least partially serve as a biomarker for bottom-up processing of depression in adolescents. |
doi_str_mv | 10.1016/j.jad.2019.04.033 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2209599858</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0165032718318202</els_id><sourcerecordid>2209599858</sourcerecordid><originalsourceid>FETCH-LOGICAL-c353t-309a61c7e72bceed975628778ccbbff5198f35d2431b669a6da8c6a59b731e4d3</originalsourceid><addsrcrecordid>eNp9kMtOwzAQRS0EouXxAWxQlmwS_KjjWKwQ4iUhsQG2lmNPJJc0KbYL6t8zpYUlK49G516NDyFnjFaMsvpyXs2trzhluqKzigqxR6ZMKlFyydQ-mSIjSyq4mpCjlOaU0lorekgmgmrV1FxOSXiDIUfbFzZnnMI4lAPkrzG-F9B14HL4hMKNw_AzhrwulhF8cDkVYfC48SsM-4BshMHBZl1YP_aQHPYVHpBPCXtPyEFn-wSnu_eYvN7dvtw8lE_P948310-lE1LkEk-zNXMKFG8dgNdK1rxRqnGubbtOMt10Qno-E6yta2S9bVxtpW6VYDDz4phcbHuXcfxYQcpmEfCWvrcDjKtkOKdaat3IBlG2RV0cU4rQmWUMCxvXhlGzMWzmBg2bjWFDZwYNY-Z8V79qF-D_Er9KEbjaAoCf_AwQTXJho8aHiBKNH8M_9d_vUY7T</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2209599858</pqid></control><display><type>article</type><title>Ventral attention-network effective connectivity predicts individual differences in adolescent depression</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Liu, Jie ; Xu, Pengfei ; Zhang, Jingyuan ; Jiang, Nengzhi ; Li, Xinying ; Luo, Yuejia</creator><creatorcontrib>Liu, Jie ; Xu, Pengfei ; Zhang, Jingyuan ; Jiang, Nengzhi ; Li, Xinying ; Luo, Yuejia</creatorcontrib><description>•We enclosed the relationship between depression and within network effective connectivity of the ventral attention network in adolescents.•We explored the neural correlates of attention bias in higher self-reported depression disorder of adolescents.
Stimulus-driven negative attention bias is a central deficit in depression and might play an important role in vulnerability to depression Adolescents are susceptible to depression. Thus, investigating the neural correlates of attention bias in adolescents is a critical step for identifying neural markers of early onset of depression. Previous studies have shown that the ventral attention network (VAN), which includes bilateral ventrolateral prefrontal cortex (VLPFC) and bilateral temporal-parietal junction (TPJ), is the key brain network for stimulus-driven attention. However, the relationship between depression and effective connectivity within the VAN in adolescents is poorly understood.
We employed resting-state fMRI to assess the relationship between directional effective connectivity within the VAN and depression scores in 216 healthy adolescents.
Using stochastic dynamic modeling, we found that individuals who exhibited higher self-reported depression showed stronger effective connectivity between right VLPFC and left TPJ within the VAN.
The level of depression in this study was assessed with self-reported questionnaire. This measure might be more influenced by current mood in adolescents than that in adults. Future studies should emplo more objective measures to index levels of depression.
Our findings indicate that effective connectivity between right VLPFC and left TPJ could at least partially serve as a biomarker for bottom-up processing of depression in adolescents.</description><identifier>ISSN: 0165-0327</identifier><identifier>EISSN: 1573-2517</identifier><identifier>DOI: 10.1016/j.jad.2019.04.033</identifier><identifier>PMID: 30978625</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Adolescent ; Attention bias ; Attentional Bias - physiology ; Cerebral Cortex - physiopathology ; Depression ; Depression - physiopathology ; Female ; Functional Neuroimaging ; Humans ; Individuality ; Magnetic Resonance Imaging ; Male ; Neural Pathways - physiology ; Resting-state fMRI ; Stochastic dynamic causal modelling ; Ventral attention network</subject><ispartof>Journal of affective disorders, 2019-06, Vol.252, p.55-59</ispartof><rights>2019</rights><rights>Copyright © 2019. Published by Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-309a61c7e72bceed975628778ccbbff5198f35d2431b669a6da8c6a59b731e4d3</citedby><cites>FETCH-LOGICAL-c353t-309a61c7e72bceed975628778ccbbff5198f35d2431b669a6da8c6a59b731e4d3</cites><orcidid>0000-0001-5253-3173</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0165032718318202$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30978625$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Jie</creatorcontrib><creatorcontrib>Xu, Pengfei</creatorcontrib><creatorcontrib>Zhang, Jingyuan</creatorcontrib><creatorcontrib>Jiang, Nengzhi</creatorcontrib><creatorcontrib>Li, Xinying</creatorcontrib><creatorcontrib>Luo, Yuejia</creatorcontrib><title>Ventral attention-network effective connectivity predicts individual differences in adolescent depression</title><title>Journal of affective disorders</title><addtitle>J Affect Disord</addtitle><description>•We enclosed the relationship between depression and within network effective connectivity of the ventral attention network in adolescents.•We explored the neural correlates of attention bias in higher self-reported depression disorder of adolescents.
Stimulus-driven negative attention bias is a central deficit in depression and might play an important role in vulnerability to depression Adolescents are susceptible to depression. Thus, investigating the neural correlates of attention bias in adolescents is a critical step for identifying neural markers of early onset of depression. Previous studies have shown that the ventral attention network (VAN), which includes bilateral ventrolateral prefrontal cortex (VLPFC) and bilateral temporal-parietal junction (TPJ), is the key brain network for stimulus-driven attention. However, the relationship between depression and effective connectivity within the VAN in adolescents is poorly understood.
We employed resting-state fMRI to assess the relationship between directional effective connectivity within the VAN and depression scores in 216 healthy adolescents.
Using stochastic dynamic modeling, we found that individuals who exhibited higher self-reported depression showed stronger effective connectivity between right VLPFC and left TPJ within the VAN.
The level of depression in this study was assessed with self-reported questionnaire. This measure might be more influenced by current mood in adolescents than that in adults. Future studies should emplo more objective measures to index levels of depression.
Our findings indicate that effective connectivity between right VLPFC and left TPJ could at least partially serve as a biomarker for bottom-up processing of depression in adolescents.</description><subject>Adolescent</subject><subject>Attention bias</subject><subject>Attentional Bias - physiology</subject><subject>Cerebral Cortex - physiopathology</subject><subject>Depression</subject><subject>Depression - physiopathology</subject><subject>Female</subject><subject>Functional Neuroimaging</subject><subject>Humans</subject><subject>Individuality</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Neural Pathways - physiology</subject><subject>Resting-state fMRI</subject><subject>Stochastic dynamic causal modelling</subject><subject>Ventral attention network</subject><issn>0165-0327</issn><issn>1573-2517</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMtOwzAQRS0EouXxAWxQlmwS_KjjWKwQ4iUhsQG2lmNPJJc0KbYL6t8zpYUlK49G516NDyFnjFaMsvpyXs2trzhluqKzigqxR6ZMKlFyydQ-mSIjSyq4mpCjlOaU0lorekgmgmrV1FxOSXiDIUfbFzZnnMI4lAPkrzG-F9B14HL4hMKNw_AzhrwulhF8cDkVYfC48SsM-4BshMHBZl1YP_aQHPYVHpBPCXtPyEFn-wSnu_eYvN7dvtw8lE_P948310-lE1LkEk-zNXMKFG8dgNdK1rxRqnGubbtOMt10Qno-E6yta2S9bVxtpW6VYDDz4phcbHuXcfxYQcpmEfCWvrcDjKtkOKdaat3IBlG2RV0cU4rQmWUMCxvXhlGzMWzmBg2bjWFDZwYNY-Z8V79qF-D_Er9KEbjaAoCf_AwQTXJho8aHiBKNH8M_9d_vUY7T</recordid><startdate>20190601</startdate><enddate>20190601</enddate><creator>Liu, Jie</creator><creator>Xu, Pengfei</creator><creator>Zhang, Jingyuan</creator><creator>Jiang, Nengzhi</creator><creator>Li, Xinying</creator><creator>Luo, Yuejia</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5253-3173</orcidid></search><sort><creationdate>20190601</creationdate><title>Ventral attention-network effective connectivity predicts individual differences in adolescent depression</title><author>Liu, Jie ; Xu, Pengfei ; Zhang, Jingyuan ; Jiang, Nengzhi ; Li, Xinying ; Luo, Yuejia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-309a61c7e72bceed975628778ccbbff5198f35d2431b669a6da8c6a59b731e4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Attention bias</topic><topic>Attentional Bias - physiology</topic><topic>Cerebral Cortex - physiopathology</topic><topic>Depression</topic><topic>Depression - physiopathology</topic><topic>Female</topic><topic>Functional Neuroimaging</topic><topic>Humans</topic><topic>Individuality</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Neural Pathways - physiology</topic><topic>Resting-state fMRI</topic><topic>Stochastic dynamic causal modelling</topic><topic>Ventral attention network</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Jie</creatorcontrib><creatorcontrib>Xu, Pengfei</creatorcontrib><creatorcontrib>Zhang, Jingyuan</creatorcontrib><creatorcontrib>Jiang, Nengzhi</creatorcontrib><creatorcontrib>Li, Xinying</creatorcontrib><creatorcontrib>Luo, Yuejia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of affective disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Jie</au><au>Xu, Pengfei</au><au>Zhang, Jingyuan</au><au>Jiang, Nengzhi</au><au>Li, Xinying</au><au>Luo, Yuejia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ventral attention-network effective connectivity predicts individual differences in adolescent depression</atitle><jtitle>Journal of affective disorders</jtitle><addtitle>J Affect Disord</addtitle><date>2019-06-01</date><risdate>2019</risdate><volume>252</volume><spage>55</spage><epage>59</epage><pages>55-59</pages><issn>0165-0327</issn><eissn>1573-2517</eissn><abstract>•We enclosed the relationship between depression and within network effective connectivity of the ventral attention network in adolescents.•We explored the neural correlates of attention bias in higher self-reported depression disorder of adolescents.
Stimulus-driven negative attention bias is a central deficit in depression and might play an important role in vulnerability to depression Adolescents are susceptible to depression. Thus, investigating the neural correlates of attention bias in adolescents is a critical step for identifying neural markers of early onset of depression. Previous studies have shown that the ventral attention network (VAN), which includes bilateral ventrolateral prefrontal cortex (VLPFC) and bilateral temporal-parietal junction (TPJ), is the key brain network for stimulus-driven attention. However, the relationship between depression and effective connectivity within the VAN in adolescents is poorly understood.
We employed resting-state fMRI to assess the relationship between directional effective connectivity within the VAN and depression scores in 216 healthy adolescents.
Using stochastic dynamic modeling, we found that individuals who exhibited higher self-reported depression showed stronger effective connectivity between right VLPFC and left TPJ within the VAN.
The level of depression in this study was assessed with self-reported questionnaire. This measure might be more influenced by current mood in adolescents than that in adults. Future studies should emplo more objective measures to index levels of depression.
Our findings indicate that effective connectivity between right VLPFC and left TPJ could at least partially serve as a biomarker for bottom-up processing of depression in adolescents.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>30978625</pmid><doi>10.1016/j.jad.2019.04.033</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0001-5253-3173</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0165-0327 |
ispartof | Journal of affective disorders, 2019-06, Vol.252, p.55-59 |
issn | 0165-0327 1573-2517 |
language | eng |
recordid | cdi_proquest_miscellaneous_2209599858 |
source | MEDLINE; Elsevier ScienceDirect Journals |
subjects | Adolescent Attention bias Attentional Bias - physiology Cerebral Cortex - physiopathology Depression Depression - physiopathology Female Functional Neuroimaging Humans Individuality Magnetic Resonance Imaging Male Neural Pathways - physiology Resting-state fMRI Stochastic dynamic causal modelling Ventral attention network |
title | Ventral attention-network effective connectivity predicts individual differences in adolescent depression |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T21%3A43%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Ventral%20attention-network%20effective%20connectivity%20predicts%20individual%20differences%20in%20adolescent%20depression&rft.jtitle=Journal%20of%20affective%20disorders&rft.au=Liu,%20Jie&rft.date=2019-06-01&rft.volume=252&rft.spage=55&rft.epage=59&rft.pages=55-59&rft.issn=0165-0327&rft.eissn=1573-2517&rft_id=info:doi/10.1016/j.jad.2019.04.033&rft_dat=%3Cproquest_cross%3E2209599858%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2209599858&rft_id=info:pmid/30978625&rft_els_id=S0165032718318202&rfr_iscdi=true |