Neuroplasticity Technology for Attention-deficit/Hyperactivity Disorder (ADHD)
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 41
- 试验地点
- 2
- 主要终点
- Change in Average Parent-Reported Inattention Symptoms
研究概览
简要总结
This study evaluates the impact of computerized inhibitory control training on attention-deficit hyperactivity disorder (ADHD) symptoms and ADHD-linked neural signatures in children with ADHD. Children were randomly assigned to adaptive computerized training (n=20) or non-adaptive computerized training control (n=20) with identical stimuli and goals.
详细描述
Both medication and cognitive behavioral therapy are effective treatments for many children, however, adherence to both medication and therapy regimes is low. Thus, identifying effective adjunct treatments for ADHD is imperative.
Previous studies exploring computerized training programs as supplementary treatments have targeted working memory or attention. However, many lines of research point to inhibitory control (IC) playing a central role in ADHD pathophysiology. IC abnormalities in children with ADHD have been evidenced both in behavioral performance on computerized tasks as well as in the structure and function of neural systems known to support IC function. Furthermore, these IC abnormalities have been linked to symptom severity.
Given findings that the most successful training interventions for children with ADHD are those that have implemented IC training along wtih working memory or attention and previous work demonstrating that IC is a central deficit for children with ADHD, it is surprising that no studies have sought to investigate programs that specifically target IC. Investigators hypothesize that training IC alone will decrease symptoms of ADHD, and information confirming this hypothesis would contribute to making training regimens for children with ADHD efficient by identifying the primary cognitive skill that requires intervention. To test this, they administer a randomized control trial of either adaptive of non-adaptive stop signal reaction time (SSRT) tasks to children with ADHD and assess effects of training on ADHD symptoms and neural activity.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Treatment
- 盲法
- Double (Participant, Investigator)
入排标准
- 年龄范围
- 8 Years 至 11 Years（Child）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Diagnosis of inattentive or combined subtype ADHD by a licensed clinician and consistent acess to Wi-Fi at home.
排除标准
- •Any known genetic abnormalities, a diagnosis of autism spectrum disorder, or current use of medication for psychiatric disorders other than ADHD (e.g. depression, anxiety).
研究组 & 干预措施
Adaptive Inhibitory Control Training
Participants played a set of three modified stop-signal reaction time tasks designed by NeuroScouting, LLC at home for approximately 5 days a week (25 min/day) for 4-weeks. This condition involved real-time adaptive gameplay that increased in difficulty as performance increased.
干预措施: Adaptive Inhibitory Control Training (Behavioral)
Non-Adaptive Inhibitory Control Training
Participants played a set of three modified stop-signal reaction time tasks designed by NeuroScouting, LLC at home for approximately 5 days a week (25 min/day) for 4-weeks. This condition had no change in difficulty (non-adaptive gameplay).
干预措施: Non-adaptive Inhibitory Control Training (Behavioral)
结局指标
主要结局
Change in Average Parent-Reported Inattention Symptoms
时间窗: Baseline and 4-weeks
Parent-report of inattention symptoms using the Swanson, Nolan, and Pelham Questionnaire (SNAP-IV). The SNAP-IV is based on a 0 to 3 rating scale (Not at All = 0, Just A Little = 1, Quite a Bit = 2, and Very Much = 3). Subscale inattention items are calculated by summing the score for the 9 inattention items and dividing by 9.
Change in Average Parent-Reported Hyperactivity Symptoms
时间窗: Baseline and 4-weeks
Parent-report of hyperactivity symptoms used the Swanson, Nolan, and Pelham Questionnaire (SNAP-IV). The SNAP-IV is based on a 0 to 3 rating scale (Not at All = 0, Just A Little = 1, Quite a Bit = 2, and Very Much = 3). Subscale hyperactivity items are calculated by summing the score for the 9 hyperactivity items and dividing by 9.
次要结局
- Change in Relative Theta Power During Resting-State Electroencephalogram(EEG) Recording(Baseline and 4-weeks)
- Change in Teacher Reported Inattention(Baseline and 4-weeks)
- Change in N200 Event-Related Potential (ERP) Component During Inhibition(Baseline and 4-weeks)
- Change in Teacher Reported Hyperactivity(Baseline and 4-weeks)
研究者
Margaret Sheridan
Assistant Professor
University of North Carolina, Chapel Hill