• Title/Summary/Keyword: department of psychiatry

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Comparing Intelligence Test Profiles to Assess Tourette's Disorder with Attention-Deficit Hyperactivity Disorder

  • Kim, Woo Hyun;Park, Tae Won;Park, Juhyun;Chung, Sang-Keun;Yang, Jong-Chul;Park, Jong-Il;Kim, Eun-Ji;Cho, Eun-Cheong;Park, Jae Cheol
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.28 no.1
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    • pp.25-30
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    • 2017
  • Objectives: The study compared the intelligence test profiles of Tourette's Disorder (TD), attention-deficit hyperactivity disorder (ADHD), and TD with ADHD (TD+ADHD) groups. Methods: The Korean Wechsler Intelligence Scale for Children-third edition (K-WISC-III) and Korean Wechsler Intelligence Scale for Children-fourth edition (K-WISC-IV) were administered to 13 children and adolescents with TD, 17 children and adolescents with ADHD, and 15 children and adolescents with TD+ADHD. Each parameter was compared among the groups using the Kruskal-Wallis test. Results: The mean scores of the freedom from distractibility/working memory index (FD/WMI) and the digit span and arithmetic subtests of the TD+ADHD group were significantly lower than those of the TD group. Conclusion: According to the intelligence test results, the comorbid ADHD+TD group showed a significant decrease in working memory compared to the TD group. These findings are similar to those of previous research on cognitive functions and suggest that the TD+ADHD comorbid and TD alone groups exhibit different endophenotypes. The results also imply that WISC-III and WISC-IV, the most commonly used intelligence tests clinically, are effective in evaluating cognitive functions such as attention. Further research is required to confirm these results.

Disrupted Association Between Empathy and Brain Structure in Attention-Deficit/Hyperactivity Disorder

  • Lee, Jeonghwan;Son, Jung-Woo;Kim, Siekyeong;Kim, Ji-eun;Chung, Seungwon;Ghim, Hei-Rhee;Lee, Sang-Ick;Shin, Chul-Jin;Ju, Gawon
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.32 no.4
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    • pp.129-136
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    • 2021
  • Objectives: To investigate the relationship between brain structure and empathy in early adolescents with attention-deficit/hyperactivity disorder (ADHD). Methods: Nineteen early adolescents with ADHD and 20 healthy controls underwent 3T MRI. All the participants were assessed for different aspects of empathy using measures including the Interpersonal Reactivity Index and Empathy Quotient. Cortical thickness and subcortical structural volume based on T1-weighted scans were analyzed using FreeSurfer. Results: Cognitive empathy (t=-2.52, p=0.016) and perspective taking (t=-2.10, p=0.043) were impaired in the ADHD group compared with the control group. The cluster encompassing the left posterior insular, supramarginal, and transverse temporal cortices [cluster-wise p-value (CWP)=0.001], which are associated with emotional empathy, was significantly smaller in the ADHD group, and the volume of the left nucleus accumbens was greater than that of the control group (F=10.12, p=0.003, effect size=0.22). In the control group, the left superior temporal (CWP=0.002) and lingual cortical (CWP=0.035) thicknesses were positively associated with cognitive empathy, while the right amygdala volume was positively associated with empathic concern (Coef=14.26, t=3.92, p=0.001). However, there was no significant correlation between empathy and brain structure in the ADHD group. Conclusion: The ADHD group had a smaller volume of the cortical area associated with emotional empathy than the control group, and there was no brain region showing significant correlation with empathy, unlike in the control group.

The Relationship of Clinical Symptoms with Social Cognition in Children Diagnosed with Attention Deficit Hyperactivity Disorder, Specific Learning Disorder or Autism Spectrum Disorder

  • Sahin, Berkan;Karabekiroglu, Koray;Bozkurt, Abdullah;Usta, Mirac Bans;Aydin, Muazzez;Cobanoglu, Cansu
    • Psychiatry investigation
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    • v.15 no.12
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    • pp.1144-1153
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    • 2018
  • Objective One of the areas of social cognition is Theory of Mind (ToM) is defined as the capacity to interpret, infer and explain mental states underlying the behavior of others. When social cognition studies on neurodevelopmental disorders are examined, it can be seen that this skill has not been studied sufficiently in children with Specific Learning Disorder (SLD). Methods In this study, social cognition skills in children diagnosed with attention deficit hyperactivity disorder (ADHD), SLD or Autism Spectrum Disorder (ASD) evaluated before puberty and compared with controls. To evaluate the ToM skills, the first and second-order false belief tasks, the Hinting Task, the Faux Pas Test and the Reading the Mind in the Eyes Task were used. Results We found that children with neurodevelopmental disorders as ADHD, ASD, and SLD had ToM deficits independent of intelligence and language development. There was a significant correlation between social cognition deficits and problems experienced in many areas such as social communication and interaction, attention, behavior, and learning. Conclusion Social cognition is an important area of impairment in SLD and there is a strong relationship between clinical symptoms and impaired functionality.

Association between Impulsivity and Medical Lethality of Suicide Attempts among Suicide Attempters (자살시도자들에서 충동성과 자살시도의 의학적 치명도와의 관계)

  • Park, Ji Won;Suh, Kyung Hoon;Son, Kyung Hoon;Han, Jae Hyun;Jeon, Yeong Ju;Jung, Yu Jin;Lee, Won Joon;Seong, Su Jeong;Han, Chang Hwan;Cho, Gyu Chong;Hwang, Jae Yeon
    • Korean Journal of Biological Psychiatry
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    • v.25 no.4
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    • pp.118-124
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    • 2018
  • Objectives Although impulsivity has long been thought as an important factor influencing suicidal behaviors, it is unknown whether impulsivity increases the risk of dying from suicidal behaviors and what specific component among constructs of impulsivity contributes to the risk of dying among suicide attempters. Methods To elucidate the association between impulsivity and medical lethality of suicide attempt among suicide attempters, we consecutively recruited 46 suicide attempters who visited an emergency room of a general hospital located in a metropolitan area, Seoul, Republic of Korea, due to suicide attempts and consented to participate in this study. Then we assessed medical lethality with the Beck Lethality Scale (LS) and impulsivity with the Korean version of the Barratt Impulsiveness Scale-11-Revised (BIS). Demographic variables were obtained from medical records and structured social work reports for suicide attempters. Results Although total scores of the BIS did not correlate with LS scores, only the scores of self-control, that is one of the Barrett's six theoretical constructs of impulsivity in which the higher score indicates less self-control and more impulsivity, had a significant positive correlation with scores of LS (p = 0.003). The association remained significant after adjusting for variables known to affect suicide lethality such as job status, recent alcohol consumption, diagnosis of depressive disorders, and having a plan for suicide (${\beta}=0.429$, p = 0.009). Conclusions Not impulsivity in general, but poor self-control, in particular, predicts lethal suicidal behaviors among suicide attempters. The degree of self-control should be evaluated when assessing patients with elevated suicide risk, and proper measures should be installed to prevent possible future lethal suicide attempts.

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Practical Considerations in Anesthesia for Electroconvulsive Therapy (전기경련치료의 마취를 위한 실제적 문제들)

  • Youn, Tak;Kim, Yong Sik;Lee, Nam Young;Kim, Se Hyun;Choi, Jun Gwon;Lee, Jeoung Hyuk;Chung, In Won
    • Korean Journal of Biological Psychiatry
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    • v.24 no.3
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    • pp.110-128
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    • 2017
  • Electroconvulsive therapy (ECT) has been recognized effective as primary or secondary treatments for major psychiatric disorders including depression and schizophrenia, as well as psychiatric emergency such as suicide, food refusal and catatonia, and so on. Medicines used in anesthetic induction for ECT, cause various reactions in autonomous, hemodynamic, and neuromuscular systems. The anesthetics also affect the duration, threshold, and intensity of seizures evoked with electric stimuli, and thus modify the seizure quality in ECT. Individual characteristics of age, sex, weight, comorbid physical disorders, and medications should also be considered for optimal clinical response after ECT. When preparing for anesthesia, adequate anesthetic agents and muscle relaxants, and rapid recovery should be carefully considered. We conducted a case-series study to address practical issues that are frequently encountered during ECT anesthesia with reviews of updated journals in order to provide practical helps to clinicians who are preparing ECT for their patients.

Epidemiology and Diagnosis of Slow Learners (Borderline Intellectual Functioning)

  • So-Yeon Lee;Keun-Ah Cheon
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.35 no.3
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    • pp.175-180
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    • 2024
  • The definitions of "slow learners" and "borderline intellectual functioning (BIF)" have not reached a consensus and have continually evolved in terminology. The criteria for diagnosing BIF include the Full-Scale Intelligence Quotient, adaptive functioning, and onset of symptoms from the developmental period; however, specific standards have not been provided. Until the Diagnostic and Statistical Manual of Mental Disorders-IV, a range for the Full-Scale Intelligence Quotient was provided, but due to its limitations in reflecting the actual functioning of individuals with BIF, this criterion was removed from the Diagnostic and Statistical Manual of Mental Disorders-5. The absence of specific diagnostic criteria complicates the identification of individuals with BIF, highlighting the need for a more precise classification and definition.

Neuroimaging-Based Deep Learning in Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder

  • Song, Jae-Won;Yoon, Na-Rae;Jang, Soo-Min;Lee, Ga-Young;Kim, Bung-Nyun
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.31 no.3
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    • pp.97-104
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    • 2020
  • Deep learning (DL) is a kind of machine learning technique that uses artificial intelligence to identify the characteristics of given data and efficiently analyze large amounts of information to perform tasks such as classification and prediction. In the field of neuroimaging of neurodevelopmental disorders, various biomarkers for diagnosis, classification, prognosis prediction, and treatment response prediction have been examined; however, they have not been efficiently combined to produce meaningful results. DL can be applied to overcome these limitations and produce clinically helpful results. Here, we review studies that combine neurodevelopmental disorder neuroimaging and DL techniques to explore the strengths, limitations, and future directions of this research area.