• 수면정신생리
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• 제18권1호
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• pp.10-16
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• 2011

There has been a growing interest in sleep problems associated with attention deficit hyperactivity disorder (ADHD). In this paper, we reviewed the current literature on the underlying sleep problems associated with ADHD. Sleep problems are very common in children with ADHD. Patients with ADHD may have sleep difficulties including difficulty falling asleep, frequent night awakening, increased tiredness upon waking. Children with ADHD are associated to restless legs syndrome, periodic limb movement and sleep-disordered breathing. Screening for other psychiatric comorbidities and the side effects of medications, such as psychostimulants, is also necessary when considering sleep problems in ADHD. Sleep problems can cause a negative impact on the quality of life and emotional well-being both of children with ADHD and their parents. Many evidences suggest that assessment of sleep difficulties should be included in evaluating the patient of ADHD.

• 가정과삶의질연구
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• 제26권2호
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• pp.43-55
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• 2008

This study examines the effect of group-counseling programs for parents of children with Attention-Deficit/Hyperactivity Disorder (ADHD) on parenting stress, parenting competence, and symptoms related to ADHD. For this study, 9 parents of children with ADHD were selected as an experimental group that participated in a group-counseling program and another 9 parents of children with ADHD for a control group that participated in a group of free conversation without a program. The program consisted of 9 sessions (a 70 minute meeting per session) with 2 sessions a week. Data were analyzed by a paired t-test and independent samples t-test, using SPSS program packages. Results showed significant before and after differences in the degree of parenting competence and that Parenting competence was improved with the experimental group.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제27권4호
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• pp.267-277
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• 2016

Attention-deficit hyperactivity disorder (ADHD) is a common, childhood-onset, neuropsychiatric disorder with an estimated prevalence of 2-7.6% in Korean children. Although the etiology of ADHD is not well understood, evidence from genetic factor and environmental factor studies suggests that ADHD results from a gene environmental interaction. In the current study, we reviewed the evidence for and clinical implications of the hypothetical roles of organophosphate pesticides, organochlorine pesticides, polychlorinated biphenyls, phthalate, bisphenol, polyfluoroalkyl chemicals, polycyclic aromatic hydrocarbons, mercury, lead, arsenic, cadmium, manganese, tobacco, alcohol as harmful risk factors in the development of ADHD.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제31권3호
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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.

• 아동학회지
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• 제25권3호
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• pp.59-74
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• 2004

The purpose of the this study was to examine the relationship between mother-child interaction play assessment of children with Attention Deficit Hyperactivity Disorder(ADHD) and delinquency through observational method. The subjects were 30children(normal: 15, ADHD: 15) between 4-6 elementary school grade. Instruments used Parent-Child Interaction Assessment(P-CIPA), Inventory of Delinquency-Oriented Behavior and Korea Children Behavior Check List(K-CBCL). Results showed that following : 1) ADHD affect the delinquency-oriented behavior; 2) there were significant differences in mother-child interaction play assessment between normal children group and ADHD children group; and 3) there was a significant relationship between parent-child interaction play assessment and delinquency.

• 한국컴퓨터정보학회논문지
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• 제20권11호
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• pp.127-133
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• 2015

In this paper, we propose that college counselors be more knowledgable of adult ADHD symptoms and develop better understandings of subtypes of the disorder. The findings in this study show that college students with different subtypes of ADHD symptoms experience different types of psychological maladjustment as well as different levels of psychological distress. Specifically, combined-type trait group show the highest levels of each of subscale of SCL-90-R among the other groups (i.e., normal, predominant inattentive subtype, hyperactive-impulsive type). Furthermore, combined typed trait group show significantly higher levels of animosity and paranoid ideation than the others. Therefore, college counselors need to provide effective interventions addressing intense emotion and cognitive distortion among college students with ADHD combined symptoms.

• 한국임상약학회지
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• 제20권1호
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• pp.66-71
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• 2010

주의력결핍 과잉행동장애는 미국에서 약 200만 명의 어린이에게 나타나는 심각한 만성 신경행동학적 장애이다. 주의력결핍 과잉행동장애 치료의 중심은 약물요법이다. 그러나 현재 환자의 약 30%는 주의력결핍 과잉행동장애를 적응증으로 갖도록 허가된 의약품들을 사용해도 적절한 치료효과를 얻지 못하고 있는 상황이다. Modafinil은 methylphenidate나 amphetamines와 같은 각성제와는 다른 약리학적 기전으로 중추신경계를 항진시킨다. 본 연구는 modafinil의 주의력결핍 과잉행동장애 치료효과에 대한 최신 지견을 얻고자, 1990년부터 2010년 3월까지 MEDLINE에 등재된 논문을 ADHD와 Modafinil이라는 MeSH terms로 검색하여 추출한 자료 중에서 대조군이 사용된 무작위 배정 및 이중맹검 임상연구 사례만을 선별하여 임상적 유용성을 평가하였다. 현재 modafinil은 주의력결핍 과잉행동 장애 치료제로 허가된 의약품은 아니지만 최근 여러 국가에서 시행된 연구들은 modafinil이 안전하고 효과적인 주의력결핍 과잉행동장애 치료제일 수 있다는 결과를 보여주고 있다.

• 한국멀티미디어학회논문지
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• 제24권10호
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• pp.1336-1345
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• 2021

Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurological disorders in children. The diagnosis of ADHD in children is based on the interviews and observation reports of parents or teachers who have stayed with them. Since this approach cannot avoid long observation time and the bias of observers, another approach based on Electroencephalography(EEG) is emerging. The goal of this study is to develop an assistive tool for diagnosing ADHD by EEG classification. This study explores the frequency bands of EEG and extracts the implied features in them by using the proposed CNN. The CNN architecture has three Convolution-MaxPooling blocks and two fully connected layers. As a result of the experiment, the 30-60 Hz gamma band showed dominant characteristics in identifying EEG, and when other frequency bands were added to the gamma band, the EEG classification performance was improved. They also show that the proposed CNN is effective in detecting ADHD in children.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제1권1호
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• pp.5-26
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• 1990

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제31권1호
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• pp.3-4
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• 2020