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논문 기본 정보

자료유형
학술저널
저자정보
Kim Kyoung Min (Department of Psychiatry Dankook University College of Medicine) Bong Su Hyun (Department of Psychiatry Daegu Catholic University School of Medicine) Byeon Jun (Department of Psychiatry Daegu Catholic University School of Medicine) Kim Jun Won (Department of Psychiatry Daegu Catholic University School of Medicine)
저널정보
대한신경정신의학회 PSYCHIATRY INVESTIGATION PSYCHIATRY INVESTIGATION 제19권 제6호
발행연도
2022.6
수록면
443 - 450 (8page)
DOI
10.30773/pi.2022.0011

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초록· 키워드

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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 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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