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
Hauptverfasser: Kim, Minah, Lee, Tak Hyung, Kim, Ji-Hun, Hong, Hanwoom, Lee, Tae Young, Lee, Youngjo, Salisbury, Dean F, Kwon, Jun Soo
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container_end_page 239
container_issue
container_start_page 232
container_title Schizophrenia research
container_volume 192
creator Kim, Minah
Lee, Tak Hyung
Kim, Ji-Hun
Hong, Hanwoom
Lee, Tae Young
Lee, Youngjo
Salisbury, Dean F
Kwon, Jun Soo
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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source MEDLINE; Elsevier ScienceDirect Journals
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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