Suppr超能文献

基于近红外光谱技术的虚拟现实课堂中针对注意力缺陷/多动障碍儿童的神经反馈训练:一项随机对照试验的研究方案

NIRS-based neurofeedback training in a virtual reality classroom for children with attention-deficit/hyperactivity disorder: study protocol for a randomized controlled trial.

作者信息

Blume Friederike, Hudak Justin, Dresler Thomas, Ehlis Ann-Christine, Kühnhausen Jan, Renner Tobias J, Gawrilow Caterina

机构信息

LEAD Graduate School & Research Network, University of Tübingen, Gartenstrasse 29, 72074, Tübingen, Germany.

Department of Psychiatry and Psychotherapy, University of Tübingen, Calwerstrasse 14, 72076, Tübingen, Germany.

出版信息

Trials. 2017 Jan 24;18(1):41. doi: 10.1186/s13063-016-1769-3.

Abstract

BACKGROUND

Children with attention-deficit/hyperactivity disorder (ADHD) suffer from attention deficits, motor hyperactivity, and impulsive behaviour. These impairments are experienced at home, at school, and with friends. Functional imaging studies show that ADHD behaviour and impairments in executive functions (EFs) are mirrored by aberrant neurophysiological functioning. Moreover, several studies show that ADHD behaviour, impairments in EFs, and a lack of self-control contribute to poor school performance. Non-pharmacological interventions such as neurofeedback training (NFT), for instance, aim at improving neurophysiological and neuropsychological functioning as well as behaviour. Consequently, NFT is expected to improve school performance, EFs, and self-control in children with ADHD. Generalization of acquired self-regulation skills from laboratory to real life is crucial for a transfer to everyday situations and is hypothesized to be facilitated via training using virtual reality (VR) environments. Consequently, experiencing NFT in VR is expected to yield greater effects than training in two dimensions (2D).

METHODS/DESIGN: Ninety children with a clinical diagnosis of ADHD will be included in the study. Participants may be medicated or unmedicated. After random assignation to one of three conditions, all participants receive 15 training sessions of either near-infrared spectroscopy (NIRS)-based NFT in VR, NIRS-based NFT in 2D, or electromyogram-based biofeedback training in VR. ADHD symptoms, self-control, EF, health-related quality of life, school performance, and motor activity measured via parent, teacher, and child reports or objectively will be assessed before and after the intervention and at a 6 months follow-up. Furthermore, we are interested in parents' expectations about the training's effects.

DISCUSSION

This is, to our knowledge, the first study investigating the efficacy of NFT for children with ADHD in a VR compared to a 2D environment. Furthermore, this study will contribute to the discussion about the efficacy and specific and unspecific effects of NFTs in children with ADHD. In addition to commonly assessed variables such as ADHD symptoms, NIRS and behavioural data obtained in EF measures, health-related quality of life, and parents' expectations about the intervention's effects, this study will investigate the effects on self-control, school performance, and motor activity.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT02572180 . Registered on 19 November 2015.

摘要

背景

注意力缺陷多动障碍(ADHD)患儿存在注意力不集中、多动及冲动行为。这些缺陷在家庭、学校及与朋友相处时都会出现。功能影像学研究表明,ADHD行为及执行功能(EFs)受损反映为神经生理功能异常。此外,多项研究表明,ADHD行为、EFs受损及缺乏自控力会导致学业成绩不佳。例如,神经反馈训练(NFT)等非药物干预旨在改善神经生理和神经心理功能以及行为。因此,预计NFT可改善ADHD患儿的学业成绩、EFs及自控力。将习得的自我调节技能从实验室推广到现实生活对于应用于日常情境至关重要,并且据推测通过使用虚拟现实(VR)环境进行训练可促进这一过程。因此,预计在VR中进行NFT训练比二维(2D)训练产生更大效果。

方法/设计:90名临床诊断为ADHD的儿童将纳入本研究。参与者可能正在服药或未服药。随机分配到三种条件之一后,所有参与者均接受15次训练,训练内容为VR环境下基于近红外光谱(NIRS)的NFT、2D环境下基于NIRS的NFT或VR环境下基于肌电图的生物反馈训练。干预前后及6个月随访时,将通过家长、教师和儿童报告或客观测量评估ADHD症状、自控力、EFs、健康相关生活质量、学业成绩及运动活动。此外,我们还关注家长对训练效果的期望。

讨论

据我们所知,这是第一项研究VR环境与2D环境相比,NFT对ADHD患儿疗效的研究。此外,本研究将有助于讨论NFT对ADHD患儿的疗效以及特定和非特定影响。除了通常评估的变量,如ADHD症状、EFs测量中获得的NIRS和行为数据、健康相关生活质量以及家长对干预效果的期望外,本研究还将调查对自控力、学业成绩和运动活动的影响。

试验注册

ClinicalTrials.gov,NCT02572180。于2015年11月19日注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7074/5259870/d4fbdf16b9f5/13063_2016_1769_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验