Disruptions in the left frontoparietal network underlie resting state endophenotypic markers in schizophrenia
Advances in functional brain imaging have improved the search for potential endophenotypic markers in schizophrenia. Here, we employed independent component analysis (ICA) and dynamic causal modeling (DCM) in resting state fMRI on a sample of 35 schizophrenia patients, 20 first‐degree relatives and...
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description | Advances in functional brain imaging have improved the search for potential endophenotypic markers in schizophrenia. Here, we employed independent component analysis (ICA) and dynamic causal modeling (DCM) in resting state fMRI on a sample of 35 schizophrenia patients, 20 first‐degree relatives and 35 control subjects. Analysis on ICA‐derived networks revealed increased functional connectivity between the left frontoparietal network (FPN) and left temporal and parietal regions in schizophrenia patients (P |
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Here, we employed independent component analysis (ICA) and dynamic causal modeling (DCM) in resting state fMRI on a sample of 35 schizophrenia patients, 20 first‐degree relatives and 35 control subjects. Analysis on ICA‐derived networks revealed increased functional connectivity between the left frontoparietal network (FPN) and left temporal and parietal regions in schizophrenia patients (P < 0.001). First‐degree relatives shared this hyperconnectivity, in particular in the supramarginal gyrus (SMG; P = 0.008). DCM analysis was employed to further explore underlying effective connectivity. Results showed increased inhibitory connections to the left angular gyrus (AG) in schizophrenia patients from all other nodes of the left FPN (P < 0.001), and in particular from the left SMG (P = 0.001). Relatives also showed a pattern of increased inhibitory connections to the left AG (P = 0.008). Furthermore, the patient group showed increased excitatory connectivity between the left fusiform gyrus and the left SMG (P = 0.002). This connection was negatively correlated to inhibitory afferents to the left AG (P = 0.005) and to the negative symptom score on the PANSS scale (P = 0.001, r = −0.51). Left frontoparietotemporal dysfunction in schizophrenia has been previously associated with a range of abnormalities, including formal thought disorder, working memory dysfunction and sensory hallucinations. Our analysis uncovered new potential endophenotypic markers of schizophrenia and shed light on the organization of the left FPN in patients and their first‐degree relatives. Hum Brain Mapp 38:1741–1750, 2017. © 2017 Wiley Periodicals, Inc.</description><identifier>ISSN: 1065-9471</identifier><identifier>EISSN: 1097-0193</identifier><identifier>DOI: 10.1002/hbm.23477</identifier><identifier>PMID: 28009080</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Abnormalities ; Adult ; biomarker ; Brain ; Brain mapping ; Endophenotypes ; Female ; Frontal Lobe - diagnostic imaging ; Frontal Lobe - physiopathology ; Functional Laterality - physiology ; Functional magnetic resonance imaging ; Hallucinations ; Humans ; Image Processing, Computer-Assisted ; Independent component analysis ; Magnetic Resonance Imaging ; Male ; Markers ; Mental disorders ; Models, Neurological ; Nerve Net - diagnostic imaging ; Nerve Net - physiopathology ; Neural networks ; Neuroimaging ; Nonlinear Dynamics ; Oxygen - blood ; Parietal Lobe - diagnostic imaging ; Parietal Lobe - physiopathology ; Patients ; Psychiatric Status Rating Scales ; Rest ; Schizophrenia ; Schizophrenia - diagnostic imaging ; Schizophrenia - pathology ; Schizophrenia - physiopathology ; Sensory evaluation ; Short term memory</subject><ispartof>Human brain mapping, 2017-04, Vol.38 (4), p.1741-1750</ispartof><rights>2016 Wiley Periodicals, Inc.</rights><rights>2017 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5707-242281b7006eb9257443abeec520782e677baa2b5fc1d8ca816a08680853989d3</citedby><cites>FETCH-LOGICAL-c5707-242281b7006eb9257443abeec520782e677baa2b5fc1d8ca816a08680853989d3</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/PMC6866857/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6866857/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,1417,27924,27925,45574,45575,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28009080$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chahine, George</creatorcontrib><creatorcontrib>Richter, Anja</creatorcontrib><creatorcontrib>Wolter, Sarah</creatorcontrib><creatorcontrib>Goya‐Maldonado, Roberto</creatorcontrib><creatorcontrib>Gruber, Oliver</creatorcontrib><title>Disruptions in the left frontoparietal network underlie resting state endophenotypic markers in schizophrenia</title><title>Human brain mapping</title><addtitle>Hum Brain Mapp</addtitle><description>Advances in functional brain imaging have improved the search for potential endophenotypic markers in schizophrenia. Here, we employed independent component analysis (ICA) and dynamic causal modeling (DCM) in resting state fMRI on a sample of 35 schizophrenia patients, 20 first‐degree relatives and 35 control subjects. Analysis on ICA‐derived networks revealed increased functional connectivity between the left frontoparietal network (FPN) and left temporal and parietal regions in schizophrenia patients (P < 0.001). First‐degree relatives shared this hyperconnectivity, in particular in the supramarginal gyrus (SMG; P = 0.008). DCM analysis was employed to further explore underlying effective connectivity. Results showed increased inhibitory connections to the left angular gyrus (AG) in schizophrenia patients from all other nodes of the left FPN (P < 0.001), and in particular from the left SMG (P = 0.001). Relatives also showed a pattern of increased inhibitory connections to the left AG (P = 0.008). Furthermore, the patient group showed increased excitatory connectivity between the left fusiform gyrus and the left SMG (P = 0.002). This connection was negatively correlated to inhibitory afferents to the left AG (P = 0.005) and to the negative symptom score on the PANSS scale (P = 0.001, r = −0.51). Left frontoparietotemporal dysfunction in schizophrenia has been previously associated with a range of abnormalities, including formal thought disorder, working memory dysfunction and sensory hallucinations. Our analysis uncovered new potential endophenotypic markers of schizophrenia and shed light on the organization of the left FPN in patients and their first‐degree relatives. Hum Brain Mapp 38:1741–1750, 2017. © 2017 Wiley Periodicals, Inc.</description><subject>Abnormalities</subject><subject>Adult</subject><subject>biomarker</subject><subject>Brain</subject><subject>Brain mapping</subject><subject>Endophenotypes</subject><subject>Female</subject><subject>Frontal Lobe - diagnostic imaging</subject><subject>Frontal Lobe - physiopathology</subject><subject>Functional Laterality - physiology</subject><subject>Functional magnetic resonance imaging</subject><subject>Hallucinations</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Independent component analysis</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Markers</subject><subject>Mental disorders</subject><subject>Models, Neurological</subject><subject>Nerve Net - diagnostic imaging</subject><subject>Nerve Net - physiopathology</subject><subject>Neural networks</subject><subject>Neuroimaging</subject><subject>Nonlinear Dynamics</subject><subject>Oxygen - blood</subject><subject>Parietal Lobe - diagnostic imaging</subject><subject>Parietal Lobe - physiopathology</subject><subject>Patients</subject><subject>Psychiatric Status Rating Scales</subject><subject>Rest</subject><subject>Schizophrenia</subject><subject>Schizophrenia - diagnostic imaging</subject><subject>Schizophrenia - pathology</subject><subject>Schizophrenia - physiopathology</subject><subject>Sensory evaluation</subject><subject>Short term memory</subject><issn>1065-9471</issn><issn>1097-0193</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNks1u1TAQRiMEoqWw4AWQJTZ0kXbsxD_ZIJUWKFIRG1hbTjJp3CZ2sB2qy9Pj21sqQAKxsS3N0fGM_RXFcwpHFIAdj-18xKpaygfFPoVGlkCb6uH2LHjZ1JLuFU9ivAKglAN9XOwxBdCAgv1iPrMxrEuy3kViHUkjkgmHRIbgXfKLCRaTmYjDdOPDNVldj2GySALGZN0lickkJOh6v4zofNostiOzCdcYboWxG-33XAvorHlaPBrMFPHZ3X5QfHn39vPpeXnx6f2H05OLsuMSZMlqxhRtJYDAtmFc1nVlWsSOM5CKoZCyNYa1fOhorzqjqDCghALFq0Y1fXVQvN55l7Wdse_QpWAmvQSbO9tob6z-veLsqC_9Ny2UEIrLLHh1Jwj-65pH1bONHU6TcejXqKmSMl8Hgv0HylluOq8ZffkHeuXX4PJLaNoIYJXMP_RPSsm6UZKrLXW4o7rgYww43E9HQW9ToXMq9G0qMvvi1-e4J3_GIAPHO-DGTrj5u0mfv_m4U_4AtyXCIg</recordid><startdate>201704</startdate><enddate>201704</enddate><creator>Chahine, George</creator><creator>Richter, Anja</creator><creator>Wolter, Sarah</creator><creator>Goya‐Maldonado, Roberto</creator><creator>Gruber, Oliver</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</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>7QR</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201704</creationdate><title>Disruptions in the left frontoparietal network underlie resting state endophenotypic markers in schizophrenia</title><author>Chahine, George ; Richter, Anja ; Wolter, Sarah ; Goya‐Maldonado, Roberto ; Gruber, Oliver</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5707-242281b7006eb9257443abeec520782e677baa2b5fc1d8ca816a08680853989d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Abnormalities</topic><topic>Adult</topic><topic>biomarker</topic><topic>Brain</topic><topic>Brain mapping</topic><topic>Endophenotypes</topic><topic>Female</topic><topic>Frontal Lobe - diagnostic imaging</topic><topic>Frontal Lobe - physiopathology</topic><topic>Functional Laterality - physiology</topic><topic>Functional magnetic resonance imaging</topic><topic>Hallucinations</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Independent component analysis</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Markers</topic><topic>Mental disorders</topic><topic>Models, Neurological</topic><topic>Nerve Net - diagnostic imaging</topic><topic>Nerve Net - physiopathology</topic><topic>Neural networks</topic><topic>Neuroimaging</topic><topic>Nonlinear Dynamics</topic><topic>Oxygen - blood</topic><topic>Parietal Lobe - diagnostic imaging</topic><topic>Parietal Lobe - physiopathology</topic><topic>Patients</topic><topic>Psychiatric Status Rating Scales</topic><topic>Rest</topic><topic>Schizophrenia</topic><topic>Schizophrenia - diagnostic imaging</topic><topic>Schizophrenia - pathology</topic><topic>Schizophrenia - physiopathology</topic><topic>Sensory evaluation</topic><topic>Short term memory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chahine, George</creatorcontrib><creatorcontrib>Richter, Anja</creatorcontrib><creatorcontrib>Wolter, Sarah</creatorcontrib><creatorcontrib>Goya‐Maldonado, Roberto</creatorcontrib><creatorcontrib>Gruber, Oliver</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human brain mapping</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chahine, George</au><au>Richter, Anja</au><au>Wolter, Sarah</au><au>Goya‐Maldonado, Roberto</au><au>Gruber, Oliver</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Disruptions in the left frontoparietal network underlie resting state endophenotypic markers in schizophrenia</atitle><jtitle>Human brain mapping</jtitle><addtitle>Hum Brain Mapp</addtitle><date>2017-04</date><risdate>2017</risdate><volume>38</volume><issue>4</issue><spage>1741</spage><epage>1750</epage><pages>1741-1750</pages><issn>1065-9471</issn><eissn>1097-0193</eissn><abstract>Advances in functional brain imaging have improved the search for potential endophenotypic markers in schizophrenia. Here, we employed independent component analysis (ICA) and dynamic causal modeling (DCM) in resting state fMRI on a sample of 35 schizophrenia patients, 20 first‐degree relatives and 35 control subjects. Analysis on ICA‐derived networks revealed increased functional connectivity between the left frontoparietal network (FPN) and left temporal and parietal regions in schizophrenia patients (P < 0.001). First‐degree relatives shared this hyperconnectivity, in particular in the supramarginal gyrus (SMG; P = 0.008). DCM analysis was employed to further explore underlying effective connectivity. Results showed increased inhibitory connections to the left angular gyrus (AG) in schizophrenia patients from all other nodes of the left FPN (P < 0.001), and in particular from the left SMG (P = 0.001). Relatives also showed a pattern of increased inhibitory connections to the left AG (P = 0.008). Furthermore, the patient group showed increased excitatory connectivity between the left fusiform gyrus and the left SMG (P = 0.002). This connection was negatively correlated to inhibitory afferents to the left AG (P = 0.005) and to the negative symptom score on the PANSS scale (P = 0.001, r = −0.51). Left frontoparietotemporal dysfunction in schizophrenia has been previously associated with a range of abnormalities, including formal thought disorder, working memory dysfunction and sensory hallucinations. Our analysis uncovered new potential endophenotypic markers of schizophrenia and shed light on the organization of the left FPN in patients and their first‐degree relatives. Hum Brain Mapp 38:1741–1750, 2017. © 2017 Wiley Periodicals, Inc.</abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>28009080</pmid><doi>10.1002/hbm.23477</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Abnormalities Adult biomarker Brain Brain mapping Endophenotypes Female Frontal Lobe - diagnostic imaging Frontal Lobe - physiopathology Functional Laterality - physiology Functional magnetic resonance imaging Hallucinations Humans Image Processing, Computer-Assisted Independent component analysis Magnetic Resonance Imaging Male Markers Mental disorders Models, Neurological Nerve Net - diagnostic imaging Nerve Net - physiopathology Neural networks Neuroimaging Nonlinear Dynamics Oxygen - blood Parietal Lobe - diagnostic imaging Parietal Lobe - physiopathology Patients Psychiatric Status Rating Scales Rest Schizophrenia Schizophrenia - diagnostic imaging Schizophrenia - pathology Schizophrenia - physiopathology Sensory evaluation Short term memory |
title | Disruptions in the left frontoparietal network underlie resting state endophenotypic markers in schizophrenia |
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