Decomposing P300 into correlates of genetic risk and current symptoms in schizophrenia: An inter-trial variability analysis
Abstract Background The P300 event-related potential (ERP) component, which reflects cognitive processing, is a candidate biomarker for schizophrenia. However, the role of P300 in the pathophysiology of schizophrenia remains unclear because averaged P300 amplitudes reflect both genetic predispositio...
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Veröffentlicht in: | Schizophrenia research 2018-02, Vol.192, p.232-239 |
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description | Abstract Background The P300 event-related potential (ERP) component, which reflects cognitive processing, is a candidate biomarker for schizophrenia. However, the role of P300 in the pathophysiology of schizophrenia remains unclear because averaged P300 amplitudes reflect both genetic predisposition and current clinical status. Thus, we sought to identify which aspects of P300 are associated with genetic risk versus symptomatic status via an inter-trial variability analysis. Methods Auditory P300, clinical symptoms, and neurocognitive function assessments were obtained from forty-five patients with schizophrenia, thirty-two subjects at genetic high risk (GHR), thirty-two subjects at clinical high risk (CHR), and fifty-two healthy control (HC) participants. Both conventional averaging and inter-trial variability analyses were conducted for P300, and results were compared across groups using analysis of variance (ANOVA). Pearson's correlation was utilized to determine associations among inter-trial variability for P300, current symptoms and neurocognitive status. Results Average P300 amplitude was reduced in the GHR, CHR, and schizophrenia groups compared with that in the HC group. P300 inter-trial variability was elevated in the CHR and schizophrenia groups but relatively normal in the GHR and HC groups. Furthermore, P300 inter-trial variability was significantly related to negative symptom severity and neurocognitive performance results in schizophrenia patients. Conclusions These results suggest that P300 amplitude is an endophenotype for schizophrenia and that greater inter-trial variability of P300 is associated with more severe negative and cognitive symptoms in schizophrenia patients. |
doi_str_mv | 10.1016/j.schres.2017.04.001 |
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However, the role of P300 in the pathophysiology of schizophrenia remains unclear because averaged P300 amplitudes reflect both genetic predisposition and current clinical status. Thus, we sought to identify which aspects of P300 are associated with genetic risk versus symptomatic status via an inter-trial variability analysis. Methods Auditory P300, clinical symptoms, and neurocognitive function assessments were obtained from forty-five patients with schizophrenia, thirty-two subjects at genetic high risk (GHR), thirty-two subjects at clinical high risk (CHR), and fifty-two healthy control (HC) participants. Both conventional averaging and inter-trial variability analyses were conducted for P300, and results were compared across groups using analysis of variance (ANOVA). Pearson's correlation was utilized to determine associations among inter-trial variability for P300, current symptoms and neurocognitive status. Results Average P300 amplitude was reduced in the GHR, CHR, and schizophrenia groups compared with that in the HC group. P300 inter-trial variability was elevated in the CHR and schizophrenia groups but relatively normal in the GHR and HC groups. Furthermore, P300 inter-trial variability was significantly related to negative symptom severity and neurocognitive performance results in schizophrenia patients. Conclusions These results suggest that P300 amplitude is an endophenotype for schizophrenia and that greater inter-trial variability of P300 is associated with more severe negative and cognitive symptoms in schizophrenia patients.</description><identifier>ISSN: 0920-9964</identifier><identifier>EISSN: 1573-2509</identifier><identifier>DOI: 10.1016/j.schres.2017.04.001</identifier><identifier>PMID: 28400070</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Acoustic Stimulation ; Adult ; Analysis of Variance ; Auditory P300 ; Brain Mapping ; Cognition - physiology ; Cognitive status ; Electroencephalography ; Endophenotype ; Endophenotypes ; Event-related potential ; Event-Related Potentials, P300 - physiology ; Female ; Humans ; Inter-trial variability ; Male ; Neuropsychological Tests ; Psychiatric Status Rating Scales ; Psychiatry ; Reaction Time - physiology ; Risk Factors ; Schizophrenia ; Schizophrenia - genetics ; Schizophrenia - physiopathology ; Statistics as Topic ; Time Factors ; Young Adult</subject><ispartof>Schizophrenia research, 2018-02, Vol.192, p.232-239</ispartof><rights>2017 Elsevier B.V.</rights><rights>Copyright © 2017 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c417t-882222144b766669e684a34f2ace3b620f5b8f5f033959ba1cb5e5450b4b69643</citedby><cites>FETCH-LOGICAL-c417t-882222144b766669e684a34f2ace3b620f5b8f5f033959ba1cb5e5450b4b69643</cites><orcidid>0000-0001-8668-0817 ; 0000-0002-1060-1462</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0920996417301883$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28400070$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Minah</creatorcontrib><creatorcontrib>Lee, Tak Hyung</creatorcontrib><creatorcontrib>Kim, Ji-Hun</creatorcontrib><creatorcontrib>Hong, Hanwoom</creatorcontrib><creatorcontrib>Lee, Tae Young</creatorcontrib><creatorcontrib>Lee, Youngjo</creatorcontrib><creatorcontrib>Salisbury, Dean F</creatorcontrib><creatorcontrib>Kwon, Jun Soo</creatorcontrib><title>Decomposing P300 into correlates of genetic risk and current symptoms in schizophrenia: An inter-trial variability analysis</title><title>Schizophrenia research</title><addtitle>Schizophr Res</addtitle><description>Abstract Background The P300 event-related potential (ERP) component, which reflects cognitive processing, is a candidate biomarker for schizophrenia. However, the role of P300 in the pathophysiology of schizophrenia remains unclear because averaged P300 amplitudes reflect both genetic predisposition and current clinical status. Thus, we sought to identify which aspects of P300 are associated with genetic risk versus symptomatic status via an inter-trial variability analysis. Methods Auditory P300, clinical symptoms, and neurocognitive function assessments were obtained from forty-five patients with schizophrenia, thirty-two subjects at genetic high risk (GHR), thirty-two subjects at clinical high risk (CHR), and fifty-two healthy control (HC) participants. Both conventional averaging and inter-trial variability analyses were conducted for P300, and results were compared across groups using analysis of variance (ANOVA). Pearson's correlation was utilized to determine associations among inter-trial variability for P300, current symptoms and neurocognitive status. Results Average P300 amplitude was reduced in the GHR, CHR, and schizophrenia groups compared with that in the HC group. P300 inter-trial variability was elevated in the CHR and schizophrenia groups but relatively normal in the GHR and HC groups. Furthermore, P300 inter-trial variability was significantly related to negative symptom severity and neurocognitive performance results in schizophrenia patients. Conclusions These results suggest that P300 amplitude is an endophenotype for schizophrenia and that greater inter-trial variability of P300 is associated with more severe negative and cognitive symptoms in schizophrenia patients.</description><subject>Acoustic Stimulation</subject><subject>Adult</subject><subject>Analysis of Variance</subject><subject>Auditory P300</subject><subject>Brain Mapping</subject><subject>Cognition - physiology</subject><subject>Cognitive status</subject><subject>Electroencephalography</subject><subject>Endophenotype</subject><subject>Endophenotypes</subject><subject>Event-related potential</subject><subject>Event-Related Potentials, P300 - physiology</subject><subject>Female</subject><subject>Humans</subject><subject>Inter-trial variability</subject><subject>Male</subject><subject>Neuropsychological Tests</subject><subject>Psychiatric Status Rating Scales</subject><subject>Psychiatry</subject><subject>Reaction Time - physiology</subject><subject>Risk Factors</subject><subject>Schizophrenia</subject><subject>Schizophrenia - genetics</subject><subject>Schizophrenia - physiopathology</subject><subject>Statistics as Topic</subject><subject>Time Factors</subject><subject>Young Adult</subject><issn>0920-9964</issn><issn>1573-2509</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUU1v1TAQtBCIPgr_ACEfuSSsYzsfHJCqli-pEkjA2XL8NsWvSfywnUqBP89Gr3Dgwl5Wlmdmd2YZey6gFCDqV4cyue8RU1mBaEpQJYB4wHZCN7KoNHQP2Q66Coquq9UZe5LSAQihoXnMzqpW0aOBHft1hS5Mx5D8fMM_SwDu5xy4CzHiaDMmHgZ-gzNm73j06Zbbec_dQt9z5mmdjjlMiUictvE_w5FWmr19zS_mTQljkaO3I7-z1Ho_-rySgh3X5NNT9miwY8Jn9_2cfXv39uvlh-L60_uPlxfXhVOiyUXbVlRCqb6pqTqsW2WlGirrUPZ1BYPu20EPIGWnu94K12vUSkOv-prMy3P28qR7jOHHgimbySeH42hnDEsyom0b0EIoTVB1groYUoo4mGP0k42rEWC22M3BnGI3W-wGlKFQifbifsLST7j_S_qTMwHenABIPu88RlLxODvc-4gum33w_5vwr4Ab_eydHW9xxXQIS6RUyYtJlQHzZTv9dnnRSCB_Uv4GNrSrJw</recordid><startdate>20180201</startdate><enddate>20180201</enddate><creator>Kim, Minah</creator><creator>Lee, Tak Hyung</creator><creator>Kim, Ji-Hun</creator><creator>Hong, Hanwoom</creator><creator>Lee, Tae Young</creator><creator>Lee, Youngjo</creator><creator>Salisbury, Dean F</creator><creator>Kwon, Jun Soo</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/0000-0001-8668-0817</orcidid><orcidid>https://orcid.org/0000-0002-1060-1462</orcidid></search><sort><creationdate>20180201</creationdate><title>Decomposing P300 into correlates of genetic risk and current symptoms in schizophrenia: An inter-trial variability analysis</title><author>Kim, Minah ; Lee, Tak Hyung ; Kim, Ji-Hun ; Hong, Hanwoom ; Lee, Tae Young ; Lee, Youngjo ; Salisbury, Dean F ; Kwon, Jun Soo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-882222144b766669e684a34f2ace3b620f5b8f5f033959ba1cb5e5450b4b69643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Acoustic Stimulation</topic><topic>Adult</topic><topic>Analysis of Variance</topic><topic>Auditory P300</topic><topic>Brain Mapping</topic><topic>Cognition - physiology</topic><topic>Cognitive status</topic><topic>Electroencephalography</topic><topic>Endophenotype</topic><topic>Endophenotypes</topic><topic>Event-related potential</topic><topic>Event-Related Potentials, P300 - physiology</topic><topic>Female</topic><topic>Humans</topic><topic>Inter-trial variability</topic><topic>Male</topic><topic>Neuropsychological Tests</topic><topic>Psychiatric Status Rating Scales</topic><topic>Psychiatry</topic><topic>Reaction Time - physiology</topic><topic>Risk Factors</topic><topic>Schizophrenia</topic><topic>Schizophrenia - genetics</topic><topic>Schizophrenia - physiopathology</topic><topic>Statistics as Topic</topic><topic>Time Factors</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Minah</creatorcontrib><creatorcontrib>Lee, Tak Hyung</creatorcontrib><creatorcontrib>Kim, Ji-Hun</creatorcontrib><creatorcontrib>Hong, Hanwoom</creatorcontrib><creatorcontrib>Lee, Tae Young</creatorcontrib><creatorcontrib>Lee, Youngjo</creatorcontrib><creatorcontrib>Salisbury, Dean F</creatorcontrib><creatorcontrib>Kwon, Jun Soo</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>Schizophrenia research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Minah</au><au>Lee, Tak Hyung</au><au>Kim, Ji-Hun</au><au>Hong, Hanwoom</au><au>Lee, Tae Young</au><au>Lee, Youngjo</au><au>Salisbury, Dean F</au><au>Kwon, Jun Soo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Decomposing P300 into correlates of genetic risk and current symptoms in schizophrenia: An inter-trial variability analysis</atitle><jtitle>Schizophrenia research</jtitle><addtitle>Schizophr Res</addtitle><date>2018-02-01</date><risdate>2018</risdate><volume>192</volume><spage>232</spage><epage>239</epage><pages>232-239</pages><issn>0920-9964</issn><eissn>1573-2509</eissn><abstract>Abstract Background The P300 event-related potential (ERP) component, which reflects cognitive processing, is a candidate biomarker for schizophrenia. However, the role of P300 in the pathophysiology of schizophrenia remains unclear because averaged P300 amplitudes reflect both genetic predisposition and current clinical status. Thus, we sought to identify which aspects of P300 are associated with genetic risk versus symptomatic status via an inter-trial variability analysis. Methods Auditory P300, clinical symptoms, and neurocognitive function assessments were obtained from forty-five patients with schizophrenia, thirty-two subjects at genetic high risk (GHR), thirty-two subjects at clinical high risk (CHR), and fifty-two healthy control (HC) participants. Both conventional averaging and inter-trial variability analyses were conducted for P300, and results were compared across groups using analysis of variance (ANOVA). Pearson's correlation was utilized to determine associations among inter-trial variability for P300, current symptoms and neurocognitive status. Results Average P300 amplitude was reduced in the GHR, CHR, and schizophrenia groups compared with that in the HC group. P300 inter-trial variability was elevated in the CHR and schizophrenia groups but relatively normal in the GHR and HC groups. Furthermore, P300 inter-trial variability was significantly related to negative symptom severity and neurocognitive performance results in schizophrenia patients. Conclusions These results suggest that P300 amplitude is an endophenotype for schizophrenia and that greater inter-trial variability of P300 is associated with more severe negative and cognitive symptoms in schizophrenia patients.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>28400070</pmid><doi>10.1016/j.schres.2017.04.001</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-8668-0817</orcidid><orcidid>https://orcid.org/0000-0002-1060-1462</orcidid></addata></record> |
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subjects | Acoustic Stimulation Adult Analysis of Variance Auditory P300 Brain Mapping Cognition - physiology Cognitive status Electroencephalography Endophenotype Endophenotypes Event-related potential Event-Related Potentials, P300 - physiology Female Humans Inter-trial variability Male Neuropsychological Tests Psychiatric Status Rating Scales Psychiatry Reaction Time - physiology Risk Factors Schizophrenia Schizophrenia - genetics Schizophrenia - physiopathology Statistics as Topic Time Factors Young Adult |
title | Decomposing P300 into correlates of genetic risk and current symptoms in schizophrenia: An inter-trial variability analysis |
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