The Usefulness of Quantitative Electroencephalography in Diagnosis and Severity Evaluation of Delirium: A Retrospective Study

Objective@#Incontrovertible disease markers are absent in delirium. This study investigated the usefulness of quantitative electroencephalography (qEEG) in diagnosing delirium. @*Methods@#This retrospective case-control study reviewed medical records and qEEG data of 69 age/sex-matched patients (delirium group, n=30; control group, n=39). The first minute of artifact-free EEG data with eyes closed was selected. Nineteen electrodes’ sensitivity, specificity, and correlation with delirium rating scale-revised-98 were analyzed. @*Results@#On comparing the means of absolute power by frontal, central, and posterior regions, the delta and theta powers showed significant differences (p<0.001) in all regions, and the magnitude of the absolute power was higher in the delirium group than in the control group; only the posterior region showed a significant (p<0.001) difference in beta power. The spectral power of theta at the frontal region (area under the curve [AUC]=0.84) and theta at the central and posterior regions (AUC=0.83) showed 90% sensitivity and 79% specificity, respectively, in differentiating delirious patients and controls. The beta power of the central region showed a significant negative correlation with delirium severity (R=-0.457, p=0.011). @*Conclusion@#Power spectrum analysis of qEEG showed high accuracy in screening delirium among patients. The study suggests qEEG as a potential aid in diagnosing delirium.

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

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.

The Psychological Impact of Quarantine during COVID-19 Pandemic: A Cross-Sectional Study / 생물치료정신의학

Objectives@#：This study assessed the psychological impact of quarantine during the coronavirus disease 2019 (COVID-19) outbreak. @*Methods@#：A total of 2080 participants filled the self-report questionnaire from March 17 to April 20, 2020 in Daegu, Republic of Korea. An online link was sent to currently or previously quarantined participants. The self-report questionnaire included patient health questionnaire-9 (PHQ-9), generalized anxiety disorder-7 (GAD-7), primary care post-traumatic stress disorder screen for diagnostic and statistical manual-5 (PTSD-PC), state-trait anger expression inventory (STAXI), and P4 suicidality screener scale (P4). PHQ-9 score of 5 or more and 9 or less indicates mild to moderate depressive symptoms, and 10 or more indicates severe depressive symptoms; A GAD-7 score of 5 or more and 14 or less indicates mild to moderate anxiety symptoms, and a score of 15 or more indicates severe anxiety symptoms; A PTSD-PC-5 score of 2 indicates mild to moderate PTSD; a score of 3 or higher indicates severe PTSD; A STAXI score of 14 or higher indicates severe anger symptoms; In P4, the cut-off points for each self-report questionnaire were set as mild suicidal thoughts at 1 point or more and 2 points or less, and severe suicide thoughts at 3 or more points. Logistic regression analyses were used to explore COVID-19-related risk factors. @*Results@#：The prevalence of mental health symptoms among the survey respondents was at 52.5% for depression, 44.5% for anxiety, 39.4% for post-traumatic stress, 31.6% for anger, and 10.9% for suicidal ideation. Participants with confirmed or suspected COVID-19 family members showed a high risk for symptoms of anxiety, posttraumatic stress, and anger. Participants with financial loss had increased symptoms of depression, anxiety, posttraumatic stress, anger, and suicidal ideation. Participants with a history of medical/psychiatric illnesses reported more symptoms of depression, anxiety, post-traumatic stress, anger, and suicidal ideation. Having inadequate basic supplies during quarantine was associated with negative mental health outcomes. @*Conclusions@#：Quarantine had a negative psychological impact on all five mental health factors. The risk of depression, anxiety, post-traumatic stress disorder, anger, and suicidality increased among those who suffered from financial losses due to COVID-19. The associated risk factors will help identify populations at risk for mental health problems and implement mental health intervention policies.

Developing Korean Version of the 25-item Hikikomori Questionnaire / 신경정신의학

Objectives@#Hikikomori is a social condition characterized by social withdrawal. It is essential to develop an objective indicator to screen for this condition and provide early intervention. Therefore, this study verified the validity and reliability of a Korean version of the 25-item Hikikomori Questionnaire (HQ-25). @*Methods@#Semi-structured interviews were conducted with participants at high risk of feeling loneliness and who were recruited through online and offline methods. Data based on clinical scales were collected, and after four weeks, a self-report questionnaire was administered to a few participants to confirm the degree of agreement. @*Results@#One hundred forty-three people were enrolled, out of which 45 were identified as hikikomori. There was a significant difference in scores between the hikikomori group and the unaffected group (64.44 and 39.30, respectively; p<0.01). Convergent diversity and test-retest reliability were satisfactory. The area under the receiver operating characteristic curve was 0.817. Based on confirmatory factor analysis, the existing model was found suitable. In this study, sensitivity and specificity were 88.9% and 52.0% at 40.5 points, and 84.4% and 49.0% at 41.5 points, respectively. @*Conclusion@#The Korean version of the HQ-25 has secure validity and reliability. This scale can be beneficial in the screening and early intervention of hikikomori.

Factors Associated with the Quality of Life of Patients with Cancer Undergoing Radiotherapy

Objective@#Approximately half of patients with cancer have comorbidities, such as adjustment disorder, major depressive disorder, and delirium. Radiotherapy can cause psychological problems, e.g., the fear of treatment and its side effects, anxiety, depression, and social isolation. Health-related quality of life (QoL) must be determined to evaluate the effectiveness of cancer treatment. We analyzed the clinical, psychological, and sociodemographic factors influencing the QoL of patients with cancer who were undergoing radiotherapy. @*Methods@#Twenty-six patients undergoing radiotherapy (10 male, 16 female) were included. Sociodemographic and clinical data were collected prior to radiotherapy. Psychosocial factors were assessed by self-reported questionnaires before, immediately after, and 3 months after radiotherapy. A multivariate regression analysis identified factors affecting QoL at each time point. @*Results@#Patients’ diagnoses were breast, cervical, prostate, endometrial, rectal, hypopharyngeal, laryngeal, liver, gallbladder, esophageal, ovarian, lung, and skin cancers. Before radiotherapy, better resilience was significantly associated with a higher QoL score (R2=0.199, p=0.033). Immediately after radiotherapy, financial difficulty was significantly associated with a lower QoL score (R2=0.274, p=0.010). Three months after radiotherapy, the presence of chronic disease (R2=0.398, p=0.002) and the severity of nausea and vomiting were significantly associated with a lower QoL score (R2=0.278, p=0.014). @*Conclusion@#Resilience, financial difficulty, the presence of chronic diseases, and the severity of nausea and vomiting significantly influenced the QoL of patients with cancer who were undergoing radiotherapy. Factors affecting QoL varied at each time point. Thus, patients with cancer should undergo regular mental health assessments, including assessments of QoL. Multidimensional (physical, psychological, and social) approaches and individualized time-based interventions are needed to improve the QoL of cancer patients undergoing radiotherapy.

Effects of Cognitive-Behavioral Therapy Based Music Therapy in Korean Adolescents with Smartphone and Internet Addiction

Objective@#The purpose of this study was to evaluate the effects of adding music therapy (MT) to cognitive-behavioral therapy (CBT) on symptoms of smartphone/internet addiction and psychiatric comorbidities. @*Methods@#Overall, 155 patients diagnosed with addiction were assigned to either the CBT-MT group or CBT group. Both groups received CBT for 8 weeks, while the CBT-MT group received additional MT. The intervention was completed by 67 and 71 participants in the CBT-MT and CBT groups, respectively. @*Results@#The total scores of Young Internet Addiction Scale (YIAT) and Smartphone Addiction Proneness Scale (SAPS) decreased significantly (p<0.001 for both) in both groups, while the total scores of State Anxiety Inventory for Children (SAIC) (p<0.001), Trait Anxiety Inventory for Children (TAIC) (p<0.001), Conners-Wells’ Adolescent Self-Report Scale-Short form (CASS(S)) (p=0.048), and Barratt Impulsiveness Scale-11 (BIS-11) (p<0.001) decreased only in the CBT-MT group. The decrements in YIAT (p=0.025), SAIC (p=0.043), TAIC (p=0.011), and BIS-11 (p=0.012) in the CBT-MT group were significantly greater than those in the CBT group. @*Conclusion@#Combined MT and CBT improved the symptoms of smartphone/internet addiction, anxiety, and impulsivity in adolescents. This combination could therefore be an effective treatment of smartphone or internet addiction along with behavioral disorders such as anxiety and impulsivity.

The Role of Quantitative Electroencephalogram in the Diagnosis and Subgrouping of Attention-Deficit/Hyperactivity Disorder

Attention-deficit/hyperactivity disorder (ADHD) leads to functional decline in academic performance, interpersonal relationships, and development in school-aged children. Early diagnosis and appropriate intervention can significantly reduce the functional decline caused by ADHD. Currently, there is no established biological marker for ADHD. Some studies have suggested that various indicators from the quantitative electroencephalogram (QEEG) may be useful biological markers for the diagnosis of ADHD. Until the 2010s, theta/beta ratio (TBR) was a biomarker candidate for ADHD that consistently showed high diagnostic value. However, limitations of TBR have recently been reported. Studies have demonstrated that phase-amplitude coupling, especially theta phase-gamma amplitude coupling, are related to cognitive dysfunction and may assist in the diagnosis of ADHD. As yet, the underlying mechanism is not clearly established, and the clinical efficacy of these biomarkers needs to be proven through well-controlled studies. Based on the heterogeneous characteristics of ADHD, subgrouping through QEEG plays a key role in diagnosis and treatment planning. Sophisticated, welldesigned studies and meta-analyses are necessary to confirm these findings.

The Role of Quantitative Electroencephalogram in the Diagnosis and Subgrouping of Attention-Deficit/Hyperactivity Disorder

Attention-deficit/hyperactivity disorder (ADHD) leads to functional decline in academic performance, interpersonal relationships, and development in school-aged children. Early diagnosis and appropriate intervention can significantly reduce the functional decline caused by ADHD. Currently, there is no established biological marker for ADHD. Some studies have suggested that various indicators from the quantitative electroencephalogram (QEEG) may be useful biological markers for the diagnosis of ADHD. Until the 2010s, theta/beta ratio (TBR) was a biomarker candidate for ADHD that consistently showed high diagnostic value. However, limitations of TBR have recently been reported. Studies have demonstrated that phase-amplitude coupling, especially theta phase-gamma amplitude coupling, are related to cognitive dysfunction and may assist in the diagnosis of ADHD. As yet, the underlying mechanism is not clearly established, and the clinical efficacy of these biomarkers needs to be proven through well-controlled studies. Based on the heterogeneous characteristics of ADHD, subgrouping through QEEG plays a key role in diagnosis and treatment planning. Sophisticated, welldesigned studies and meta-analyses are necessary to confirm these findings.