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    KCI등재 SCIE SSCI SCOPUS

    State and Trait Anxiety Related Gamma Oscillations in Patients With Anxiety Within the Research Domain Criteria Framework

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    https://www.riss.kr/link?id=A108168725

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Objective Diagnosis of anxiety has relied primarily on self-report. This study aimed to investigate the neural correlates of anxiety with quantitative electroencephalography (qEEG) focusing on the state and trait anxiety defined according to the Research Domain Criteria framework existing across the differential diagnosis, rather than focusing on the diagnosis.Methods A total of 41 participants who visited a psychiatric clinic underwent resting state EEG and completed the State-Trait Anxiety Inventory. The absolute power of six frequency bands were analyzed: delta (1–4 Hz), theta (4–8 Hz), alpha (8–10 Hz), fast alpha (10–13.5 Hz), beta (13.5–30 Hz), and gamma (30–80 Hz).Results State anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r=-0.484) and central (Cz, r=-0.523) regions, while trait anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r= -0.523), central (Cz, r=-0.568), parietal (P7, r=-0.500; P8, r=-0.541), and occipital (O1, r=-0.510; O2, r=-0.480) regions.Conclusion The present study identified the significantly negative correlations between the anxiety level and gamma band power in fronto-central and posterior regions assessed at resting status. Further studies to confirm our findings and identify the neural correlates of anxiety are needed.
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    Objective Diagnosis of anxiety has relied primarily on self-report. This study aimed to investigate the neural correlates of anxiety with quantitative electroencephalography (qEEG) focusing on the state and trait anxiety defined according to the Resea...

    Objective Diagnosis of anxiety has relied primarily on self-report. This study aimed to investigate the neural correlates of anxiety with quantitative electroencephalography (qEEG) focusing on the state and trait anxiety defined according to the Research Domain Criteria framework existing across the differential diagnosis, rather than focusing on the diagnosis.Methods A total of 41 participants who visited a psychiatric clinic underwent resting state EEG and completed the State-Trait Anxiety Inventory. The absolute power of six frequency bands were analyzed: delta (1–4 Hz), theta (4–8 Hz), alpha (8–10 Hz), fast alpha (10–13.5 Hz), beta (13.5–30 Hz), and gamma (30–80 Hz).Results State anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r=-0.484) and central (Cz, r=-0.523) regions, while trait anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r= -0.523), central (Cz, r=-0.568), parietal (P7, r=-0.500; P8, r=-0.541), and occipital (O1, r=-0.510; O2, r=-0.480) regions.Conclusion The present study identified the significantly negative correlations between the anxiety level and gamma band power in fronto-central and posterior regions assessed at resting status. Further studies to confirm our findings and identify the neural correlates of anxiety are needed.

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    참고문헌 (Reference)

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    1 성형모 ; 김정범 ; 박영남 ; 배대석 ; 이선희 ; 안현의, "한국어판 백 우울 설문지 2판의 신뢰도 및 타당도 연구" 대한생물치료정신의학회 14 (14): 201-212, 2008

    2 Oathes DJ, "Worry, generalized anxiety disorder, and emotion:evidence from the EEG gamma band" 79 : 165-170, 2008

    3 Luo Q, "Visual awareness, emotion, and gamma band synchronization" 19 : 1896-1904, 2009

    4 Aftanas LI, "Trait anxiety impact on the EEG theta band power changes during appraisal of threatening and pleasant visual stimuli" 50 : 205-212, 2003

    5 Ursache A, "Trait and state anxiety: relations to executive functioning in an at-risk sample" 28 : 845-855, 2014

    6 Buchsbaum MS, "Topographic EEG changes with benzodiazepine administration in generalized anxiety disorder" 20 : 832-842, 1985

    7 Coburn KL, "The value of quantitative electroencephalography in clinical psychiatry: a report by the Committee on Research of the American Neuropsychiatric Association" 18 : 460-500, 2006

    8 Kim J, "The utility of quantitative electroencephalography and integrated visual and auditory continuous performance test as auxiliary tools for the attention deficit hyperactivity disorder diagnosis" 126 : 532-540, 2015

    9 Chabot RJ, "The role of quantitative electroencephalography in child and adolescent psychiatric disorders" 14 : 21-53, 2005

    10 Klados MA, "The impact of math anxiety on working memory: a cortical activations and cortical functional connectivity EEG study" 7 : 15027-15039, 2019

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    19 Prichep LS, "QEEG profiles of psychiatric disorders" 4 : 249-257, 1992

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