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Aberrant theta-gamma frequency coupling in patients with first episode psychosis : 초발 정신증 환자에서 세타-감마 주파수 연결성 이상에 관한 연구

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dc.contributor.advisor권준수-
dc.contributor.author이탁형-
dc.date.accessioned2019-10-21T03:30:04Z-
dc.date.available2019-10-21T03:30:04Z-
dc.date.issued2019-08-
dc.identifier.other000000156420-
dc.identifier.urihttps://hdl.handle.net/10371/162356-
dc.identifier.urihttp://dcollection.snu.ac.kr/common/orgView/000000156420ko_KR
dc.description학위논문(박사)--서울대학교 대학원 :자연과학대학 뇌인지과학과,2019. 8. 권준수.-
dc.description.abstractBackground: Although cognitive dysfunction has been suggested as one of the core pathologies of schizophrenia and affects patients daily functioning and quality of life, little is known about its neurobiological underpinnings, which would lead to and instigate the development of effective treatment methods. Since the resting-state activity is crucial for cognitive functioning and electroencephalography (EEG) can reflect moment-by-moment changes of neural activity with high temporal resolution, I aimed to investigate theta phase-gamma amplitude coupling (TGC) of resting-state EEG and its relationship with cognitive functioning in patients with first episode psychosis (FEP).
Methods: A total of 59 FEP patients and 50 healthy controls (HCs) participated in the resting-state EEG recording in eyes-closed state. In addition to the assessment of severity of clinical symptoms, the Trail Making Test Part A (TMT-A) and Part B (TMT-B), and the California Verbal Learning Test (CVLT) were used to measure cognitive functioning. The TGC from standardized low-resolution brain electromagnetic tomography (sLORETA) source signal of resting-state EEG was calculated in the default mode network (DMN)-related brain regions and was compared between the FEP and HC groups. Correlation analyses to reveal the relationship between TGC in FEP patients and the performance of neurocognitive function tests (NCFTs) were conducted.
Results: Mean resting-state TGC was larger for the FEP group than for HCs. Patients with FEP showed greater TGC in the left posterior cingulate cortex (PCC), which was correlated with better performances in TMT-A and TMT-B, and with the immediate and delayed recall of the CVLT.
Conclusion: Larger TGC in the brain regions comprising DMN in the FEP group compared to HCs indicates that patients with FEP may show compensatory hyperactivation of DMN-related brain regions during the resting-state, which may be related with reallocation of cognitive resources for preparing cognitive execution. This study not only highlights the moment-by-moment neural underpinnings of cognitive dysfunction in FEP patients but also provides useful background and insight in developing treatment methods for cognitive dysfunction of schizophrenia.
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dc.description.tableofcontentsChapter 1. Introduction 1
Schizophrenia and cognitive dysfunction 1
Resting-state and cognitive function in schizophrenia 2
Neural oscillation and theta phase-gamma amplitude coupling (TGC) 5
Aims and hypothesis 7
Chapter 2. Methods 9
Participants 9
Neurocognitive function tests 10
EEG acquisition and pre-processing 10
Source analysis 13
Theta phase-gamma amplitude coupling 16
Statistical analysis 18
Chapter 3. Results 19
Characteristics of the participants 19
Theta-gamma coupling results 21
Correlation analysis results 28
Chapter 4. Discussion 33
Summary 33
Localized TGC in the DMN-related brain regions at the resting-state 34
Larger TGC in FEP patients in the left PCC 34
Correlation with NCFT results 35
TGC in the DMN-related brain regions during the resting-state in patients with FEP 37
Limitation 38
Chapter 5. Conclusion 39
Abstract in Korean 53
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dc.language.isoeng-
dc.publisher서울대학교 대학원-
dc.subjectcross frequency coupling-
dc.subjectdefault mode network-
dc.subjectelectroencephalography-
dc.subjecttheta phase-gamma amplitude coupling-
dc.subjectresting-state-
dc.subject.ddc612.8233-
dc.titleAberrant theta-gamma frequency coupling in patients with first episode psychosis-
dc.title.alternative초발 정신증 환자에서 세타-감마 주파수 연결성 이상에 관한 연구-
dc.typeThesis-
dc.typeDissertation-
dc.contributor.department자연과학대학 뇌인지과학과-
dc.description.degreeDoctor-
dc.date.awarded2019-08-
dc.identifier.uciI804:11032-000000156420-
dc.identifier.holdings000000000040▲000000000041▲000000156420▲-
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