Estimation of Symptom Severity Scores for Patients with Schizophrenia Using ERP Source Activations during a Facial Affect Discrimination Task
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Do-Won | - |
dc.contributor.author | Lee, Seung-Hwan | - |
dc.contributor.author | Shim, Miseon | - |
dc.contributor.author | Im, Chang-Hwan | - |
dc.date.accessioned | 2021-08-02T14:52:32Z | - |
dc.date.available | 2021-08-02T14:52:32Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2017-08 | - |
dc.identifier.issn | 1662-4548 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/19508 | - |
dc.description.abstract | Precise diagnosis of psychiatric diseases and a comprehensive assessment of a patient's symptom severity are important in order to establish a successful treatment strategy for each patient. Although great efforts have been devoted to searching for diagnostic biomarkers of schizophrenia over the past several decades, no study has yet investigated how accurately these biomarkers are able to estimate an individual patient's symptom severity. In this study, we applied electrophysiological biomarkers obtained from electroencephalography (EEG) analyses to an estimation of symptom severity scores of patients with schizophrenia. EEG signals were recorded from 23 patients while they performed a facial affect discrimination task. Based on the source current density analysis results, we extracted voxels that showed a strong correlation between source activity and symptom scores. We then built a prediction model to estimate the symptom severity scores of each patient using the source activations of the selected voxels. The symptom scores of the Positive and Negative Syndrome Scale (PANSS) were estimated using the linear prediction model. The results of leave-one-out cross validation (LOOCV) showed that the mean errors of the estimated symptom scores were 3.34 +/- 2.40 and 3.90 +/- 3.01 for the Positive and Negative PANSS scores, respectively. The current pilot study is the first attempt to estimate symptom severity scores in schizophrenia using quantitative EEG features. It is expected that the present method can be extended to other cognitive paradigms or other psychological illnesses. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | FRONTIERS MEDIA SA | - |
dc.title | Estimation of Symptom Severity Scores for Patients with Schizophrenia Using ERP Source Activations during a Facial Affect Discrimination Task | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Im, Chang-Hwan | - |
dc.identifier.doi | 10.3389/fnins.2017.00436 | - |
dc.identifier.scopusid | 2-s2.0-85027174362 | - |
dc.identifier.wosid | 000407601300001 | - |
dc.identifier.bibliographicCitation | FRONTIERS IN NEUROSCIENCE, v.11, pp.1 - 6 | - |
dc.relation.isPartOf | FRONTIERS IN NEUROSCIENCE | - |
dc.citation.title | FRONTIERS IN NEUROSCIENCE | - |
dc.citation.volume | 11 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 6 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Neurosciences & Neurology | - |
dc.relation.journalWebOfScienceCategory | Neurosciences | - |
dc.subject.keywordPlus | AUDITORY-EVOKED POTENTIALS | - |
dc.subject.keywordPlus | EVENT-RELATED POTENTIALS | - |
dc.subject.keywordPlus | NEGATIVE SYNDROME SCALE | - |
dc.subject.keywordPlus | FRONTAL EEG ASYMMETRY | - |
dc.subject.keywordPlus | EMOTION-RECOGNITION | - |
dc.subject.keywordPlus | INTERRATER RELIABILITY | - |
dc.subject.keywordPlus | MISMATCH NEGATIVITY | - |
dc.subject.keywordPlus | POSITIVE SYMPTOMS | - |
dc.subject.keywordPlus | P300 | - |
dc.subject.keywordPlus | RESPONSES | - |
dc.subject.keywordAuthor | schizophrenia | - |
dc.subject.keywordAuthor | electroencephalogram (EEG) | - |
dc.subject.keywordAuthor | generalized linear model (GLM) | - |
dc.subject.keywordAuthor | electrophysiological biomarker | - |
dc.subject.keywordAuthor | psychiatric diseases | - |
dc.identifier.url | https://www.frontiersin.org/articles/10.3389/fnins.2017.00436/full | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.