Altered Cortico-Striatal Connectivity in Offspring of Schizophrenia Patients Relative to Offspring of Bipolar Patients and Controls
Schizophrenia (SZ) and bipolar disorder (BD) share clinical features, genetic risk factors and neuroimaging abnormalities. There is evidence of disrupted connectivity in resting state networks in patients with SZ and BD and their unaffected relatives. Resting state networks are known to undergo reor...
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creator | Solé-Padullés, Cristina Castro-Fornieles, Josefina de la Serna, Elena Romero, Soledad Calvo, Anna Sánchez-Gistau, Vanessa Padrós-Fornieles, Marta Baeza, Inmaculada Bargalló, Núria Frangou, Sophia Sugranyes, Gisela |
description | Schizophrenia (SZ) and bipolar disorder (BD) share clinical features, genetic risk factors and neuroimaging abnormalities. There is evidence of disrupted connectivity in resting state networks in patients with SZ and BD and their unaffected relatives. Resting state networks are known to undergo reorganization during youth coinciding with the period of increased incidence for both disorders. We therefore focused on characterizing resting state network connectivity in youth at familial risk for SZ or BD to identify alterations arising during this period. We measured resting-state functional connectivity in a sample of 106 youth, aged 7-19 years, comprising offspring of patients with SZ (N = 27), offspring of patients with BD (N = 39) and offspring of community control parents (N = 40). We used Independent Component Analysis to assess functional connectivity within the default mode, executive control, salience and basal ganglia networks and define their relationship to grey matter volume, clinical and cognitive measures. There was no difference in connectivity within any of the networks examined between offspring of patients with BD and offspring of community controls. In contrast, offspring of patients with SZ showed reduced connectivity within the left basal ganglia network compared to control offspring, and they showed a positive correlation between connectivity in this network and grey matter volume in the left caudate. Our findings suggest that dysconnectivity in the basal ganglia network is a robust correlate of familial risk for SZ and can be detected during childhood and adolescence. |
doi_str_mv | 10.1371/journal.pone.0148045 |
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There is evidence of disrupted connectivity in resting state networks in patients with SZ and BD and their unaffected relatives. Resting state networks are known to undergo reorganization during youth coinciding with the period of increased incidence for both disorders. We therefore focused on characterizing resting state network connectivity in youth at familial risk for SZ or BD to identify alterations arising during this period. We measured resting-state functional connectivity in a sample of 106 youth, aged 7-19 years, comprising offspring of patients with SZ (N = 27), offspring of patients with BD (N = 39) and offspring of community control parents (N = 40). We used Independent Component Analysis to assess functional connectivity within the default mode, executive control, salience and basal ganglia networks and define their relationship to grey matter volume, clinical and cognitive measures. There was no difference in connectivity within any of the networks examined between offspring of patients with BD and offspring of community controls. In contrast, offspring of patients with SZ showed reduced connectivity within the left basal ganglia network compared to control offspring, and they showed a positive correlation between connectivity in this network and grey matter volume in the left caudate. Our findings suggest that dysconnectivity in the basal ganglia network is a robust correlate of familial risk for SZ and can be detected during childhood and adolescence.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0148045</identifier><identifier>PMID: 26885824</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abnormalities ; Adolescence ; Adolescent ; Adolescents ; Adult ; Age ; Analysis ; Basal ganglia ; Basal Ganglia - physiopathology ; Biology and Life Sciences ; Biomedical research ; Bipolar disorder ; Bipolar Disorder - physiopathology ; Brain research ; Care and treatment ; Case-Control Studies ; Child ; Child & adolescent psychiatry ; Child development ; Children ; Cluster Analysis ; Cognition ; Cognitive ability ; Communities ; Consortia ; Corpus Striatum - physiopathology ; Demography ; Dopamine ; Esquizofrènia ; Executive function ; Female ; Ganglia ; Genetic aspects ; Gray Matter - pathology ; Gray Matter - physiopathology ; Humans ; Independent component analysis ; Male ; Manic-depressive illness ; Medical imaging ; Medicine and Health Sciences ; Mental disorders ; Middle Aged ; Neocortex - physiopathology ; Neostriatum ; Nerve Net - physiopathology ; Nervous system ; Networks ; Neural networks ; Neuroimaging ; Neurology ; Neurosciences ; NMR ; Nuclear magnetic resonance ; Offspring ; Parents ; Patients ; People and Places ; Psychosis ; Regression Analysis ; Rest ; Risk analysis ; Risk factors ; Schizophrenia ; Schizophrenia - physiopathology ; Sistema nerviós ; Social Sciences ; Studies ; Substantia grisea ; Teenagers ; Trastorn bipolar ; Young Adult ; Young adults ; Youth</subject><ispartof>PloS one, 2016-02, Vol.11 (2), p.e0148045-e0148045</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>cc-by (c) Solé Padullés, Cristina et al., 2016 info:eu-repo/semantics/openAccess <a href="http://creativecommons.org/licenses/by/3.0/es">http://creativecommons.org/licenses/by/3.0/es</a></rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c734t-13c5022d2d135915aeba43308ef97d1fbc8cf4d316a95bfcefbdb95046e9827b3</citedby><cites>FETCH-LOGICAL-c734t-13c5022d2d135915aeba43308ef97d1fbc8cf4d316a95bfcefbdb95046e9827b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4757444/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4757444/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,26974,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26885824$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Abulseoud, Osama Ali</contributor><creatorcontrib>Solé-Padullés, Cristina</creatorcontrib><creatorcontrib>Castro-Fornieles, Josefina</creatorcontrib><creatorcontrib>de la Serna, Elena</creatorcontrib><creatorcontrib>Romero, Soledad</creatorcontrib><creatorcontrib>Calvo, Anna</creatorcontrib><creatorcontrib>Sánchez-Gistau, Vanessa</creatorcontrib><creatorcontrib>Padrós-Fornieles, Marta</creatorcontrib><creatorcontrib>Baeza, Inmaculada</creatorcontrib><creatorcontrib>Bargalló, Núria</creatorcontrib><creatorcontrib>Frangou, Sophia</creatorcontrib><creatorcontrib>Sugranyes, Gisela</creatorcontrib><title>Altered Cortico-Striatal Connectivity in Offspring of Schizophrenia Patients Relative to Offspring of Bipolar Patients and Controls</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Schizophrenia (SZ) and bipolar disorder (BD) share clinical features, genetic risk factors and neuroimaging abnormalities. There is evidence of disrupted connectivity in resting state networks in patients with SZ and BD and their unaffected relatives. Resting state networks are known to undergo reorganization during youth coinciding with the period of increased incidence for both disorders. We therefore focused on characterizing resting state network connectivity in youth at familial risk for SZ or BD to identify alterations arising during this period. We measured resting-state functional connectivity in a sample of 106 youth, aged 7-19 years, comprising offspring of patients with SZ (N = 27), offspring of patients with BD (N = 39) and offspring of community control parents (N = 40). We used Independent Component Analysis to assess functional connectivity within the default mode, executive control, salience and basal ganglia networks and define their relationship to grey matter volume, clinical and cognitive measures. There was no difference in connectivity within any of the networks examined between offspring of patients with BD and offspring of community controls. In contrast, offspring of patients with SZ showed reduced connectivity within the left basal ganglia network compared to control offspring, and they showed a positive correlation between connectivity in this network and grey matter volume in the left caudate. Our findings suggest that dysconnectivity in the basal ganglia network is a robust correlate of familial risk for SZ and can be detected during childhood and adolescence.</description><subject>Abnormalities</subject><subject>Adolescence</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Adult</subject><subject>Age</subject><subject>Analysis</subject><subject>Basal ganglia</subject><subject>Basal Ganglia - physiopathology</subject><subject>Biology and Life Sciences</subject><subject>Biomedical research</subject><subject>Bipolar disorder</subject><subject>Bipolar Disorder - physiopathology</subject><subject>Brain research</subject><subject>Care and treatment</subject><subject>Case-Control Studies</subject><subject>Child</subject><subject>Child & adolescent psychiatry</subject><subject>Child development</subject><subject>Children</subject><subject>Cluster Analysis</subject><subject>Cognition</subject><subject>Cognitive ability</subject><subject>Communities</subject><subject>Consortia</subject><subject>Corpus Striatum - physiopathology</subject><subject>Demography</subject><subject>Dopamine</subject><subject>Esquizofrènia</subject><subject>Executive function</subject><subject>Female</subject><subject>Ganglia</subject><subject>Genetic aspects</subject><subject>Gray Matter - pathology</subject><subject>Gray Matter - physiopathology</subject><subject>Humans</subject><subject>Independent component analysis</subject><subject>Male</subject><subject>Manic-depressive illness</subject><subject>Medical imaging</subject><subject>Medicine and Health Sciences</subject><subject>Mental disorders</subject><subject>Middle Aged</subject><subject>Neocortex - physiopathology</subject><subject>Neostriatum</subject><subject>Nerve Net - physiopathology</subject><subject>Nervous system</subject><subject>Networks</subject><subject>Neural networks</subject><subject>Neuroimaging</subject><subject>Neurology</subject><subject>Neurosciences</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Offspring</subject><subject>Parents</subject><subject>Patients</subject><subject>People and Places</subject><subject>Psychosis</subject><subject>Regression Analysis</subject><subject>Rest</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Schizophrenia</subject><subject>Schizophrenia - 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Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Recercat</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Solé-Padullés, Cristina</au><au>Castro-Fornieles, Josefina</au><au>de la Serna, Elena</au><au>Romero, Soledad</au><au>Calvo, Anna</au><au>Sánchez-Gistau, Vanessa</au><au>Padrós-Fornieles, Marta</au><au>Baeza, Inmaculada</au><au>Bargalló, Núria</au><au>Frangou, Sophia</au><au>Sugranyes, Gisela</au><au>Abulseoud, Osama Ali</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Altered Cortico-Striatal Connectivity in Offspring of Schizophrenia Patients Relative to Offspring of Bipolar Patients and Controls</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-02-17</date><risdate>2016</risdate><volume>11</volume><issue>2</issue><spage>e0148045</spage><epage>e0148045</epage><pages>e0148045-e0148045</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Schizophrenia (SZ) and bipolar disorder (BD) share clinical features, genetic risk factors and neuroimaging abnormalities. There is evidence of disrupted connectivity in resting state networks in patients with SZ and BD and their unaffected relatives. Resting state networks are known to undergo reorganization during youth coinciding with the period of increased incidence for both disorders. We therefore focused on characterizing resting state network connectivity in youth at familial risk for SZ or BD to identify alterations arising during this period. We measured resting-state functional connectivity in a sample of 106 youth, aged 7-19 years, comprising offspring of patients with SZ (N = 27), offspring of patients with BD (N = 39) and offspring of community control parents (N = 40). We used Independent Component Analysis to assess functional connectivity within the default mode, executive control, salience and basal ganglia networks and define their relationship to grey matter volume, clinical and cognitive measures. There was no difference in connectivity within any of the networks examined between offspring of patients with BD and offspring of community controls. In contrast, offspring of patients with SZ showed reduced connectivity within the left basal ganglia network compared to control offspring, and they showed a positive correlation between connectivity in this network and grey matter volume in the left caudate. Our findings suggest that dysconnectivity in the basal ganglia network is a robust correlate of familial risk for SZ and can be detected during childhood and adolescence.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26885824</pmid><doi>10.1371/journal.pone.0148045</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2016-02, Vol.11 (2), p.e0148045-e0148045 |
issn | 1932-6203 1932-6203 |
language | eng |
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source | MEDLINE; Public Library of Science; DOAJ Directory of Open Access Journals; Recercat; PubMed Central; Free Full-Text Journals in Chemistry; EZB Electronic Journals Library |
subjects | Abnormalities Adolescence Adolescent Adolescents Adult Age Analysis Basal ganglia Basal Ganglia - physiopathology Biology and Life Sciences Biomedical research Bipolar disorder Bipolar Disorder - physiopathology Brain research Care and treatment Case-Control Studies Child Child & adolescent psychiatry Child development Children Cluster Analysis Cognition Cognitive ability Communities Consortia Corpus Striatum - physiopathology Demography Dopamine Esquizofrènia Executive function Female Ganglia Genetic aspects Gray Matter - pathology Gray Matter - physiopathology Humans Independent component analysis Male Manic-depressive illness Medical imaging Medicine and Health Sciences Mental disorders Middle Aged Neocortex - physiopathology Neostriatum Nerve Net - physiopathology Nervous system Networks Neural networks Neuroimaging Neurology Neurosciences NMR Nuclear magnetic resonance Offspring Parents Patients People and Places Psychosis Regression Analysis Rest Risk analysis Risk factors Schizophrenia Schizophrenia - physiopathology Sistema nerviós Social Sciences Studies Substantia grisea Teenagers Trastorn bipolar Young Adult Young adults Youth |
title | Altered Cortico-Striatal Connectivity in Offspring of Schizophrenia Patients Relative to Offspring of Bipolar Patients and Controls |
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