Attention-deficit Hyperactivity Disorder of Childhood or Adolescence Nos Clinical Trial
Official title:
A Biofeedback Training in Schoolchildren With an Attention-Deficit/Hyperactivity Disorder (ADHD): Differential Effects of Training in a 2D or 3D Environment
This study aims towards investigating the efficacy of a near-infrared spectroscopy (NIRS)-based neurofeedback training in a virtual reality (VR) classroom in schoolchildren with attention-deficit/hyperactivity disorder (ADHD). The investigators are especially interested in the training's impact on academic performance, executive functioning (EF) and behavioral ADHD symptoms. Furthermore, the investigators aim at examining the influence of teachers' instructional behavior on children with ADHD's learning in a short virtual reality classroom scenario. Several studies provide evidence that poor academic achievement in ADHD is mainly due to impairments in EF and ADHD behavior (e.g., Frazier, Youngstrom, Glutting, & Watkins, 2007; Miller et al., 2013). Furthermore, studies show that these factors are related to neurophysiological characteristics found in electroencephalographic (EEG) or functional NIRS (fNIRS) examinations (e.g., Barry, Clarke, & Johnstone, 2003; Barry, Johnstone, & Clarke, 2003; Loo & Barkley, 2005; Negoro et al., 2010). Neurofeedback trainings aim at improving these neurophysiological as well as cognitive-behavioral deficits (Gevensleben, Moll, Rothenberger, & Heinrich, 2014), and are expected to improve academic performance in children with ADHD accordingly. Training in a VR classroom, from the investigators' perspective, facilitates generalization of self-regulation competences to real-life academic situations and at the same time increases the effort invested into the training compared to a training in 2D settings. Consequently, training in a VR classroom is hypothesized to lead to greater improvement in academic performance, EF and a greater decrease of ADHD symptoms than a training in a 2D setting. Moreover, the investigators hypothesize that these effects are more pronounced in children who receive a NIRS-based neurofeedback training compared to children receiving a biofeedback training based on an electromyogram (EMG).
Status | Recruiting |
Enrollment | 90 |
Est. completion date | |
Est. primary completion date | September 2017 |
Accepts healthy volunteers | No |
Gender | Both |
Age group | 6 Years to 10 Years |
Eligibility |
Inclusion Criteria: - Going to school Grade 1-4. - Clinical diagnosis of ADHD combined, predominantly inattentive or predominantly hyperactive-impulsive type according to DSM-V. - IQ > 70 as assessed with the CFT 1-R or CFT 20-R (Weiß & Osterland, 2013; Weiß & Weiß, 2006). - No additional serious physical, neurological or mental disorder as specified below. Exclusion Criteria: - Not going to school or in other Grades than 1-4. - No clinical diagnosis of ADHD according to the DSM-V. - IQ < 70 as assessed with the CFT 1-R or CFT 20-R (Weiß & Osterland, 2013; Weiß & Weiß, 2006). - Parent reported diagnosis of the following: Serious physical illness or chronic diseases such as lung disease, heart disease, diabetes, hypertension, and rheumatic diseases; Neurological disorders including stroke, multiple sclerosis and epilepsy; indicated psychiatric disorders including obsessive-compulsive disorder, chronic tics, Tourette syndrome, and suicidal behavior. - Prior participation in a BF/NF training. - Other psychotherapeutic treatment or any kind of attention training, also in the course of an ergotherapeutic treatment, while participating in the study. |
Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Treatment
Country | Name | City | State |
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Germany | LEAD Graduate School | Tuebingen | Baden-Wuerttemberg |
Lead Sponsor | Collaborator |
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University Hospital Tuebingen |
Germany,
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* Note: There are 25 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | ADHD symptomatology | ADHD symptomatology will be measured as evaluated by teachers and parents using the German long version of the Conners-3. Furthermore, data from accelerometer measures will provide information about motor hyperactivity. The SDQ and the KINDL will assess the children's and family's quality of life which is directly associated with ADHD symptomatology. | 9 months | No |
Primary | Activity in diverse cortical regions and parallel behavioral performance | The investigators measure prefrontal cortical activity using near-infrared spectroscopy and electroencephalography (EEG) during the verbal fluency task, the Go/NoGo and the n-back task. Behavioral performance on these tasks will also be assessed. | 9 months | No |
Secondary | Executive functions | Using a variety of neuropsychological tests, the investigators aim at testing executive functioning using a digit span task, a matrices span task, the corsi block tapping task, and the stop signal task. Furthermore, parents and teachers will evaluate executive functioning with the BRIEF. | 9 months | No |
Secondary | Academic performance | Academic performance in math and German will be assessed using an age-appropriate version of the LVD-M 2-4 and the SLRT-II. | 9 months | No |
Secondary | Sustained attention | Sustained attention will be measured using the Conner's continuous performance task (CPT). | 9 months | No |
Secondary | Self-control and academic self-efficacy | These variables are assessed using adapted versions of the following questionnaires: Brief version of the self-control scale (for parents and children) Questionnaire on academic self-efficacy |
9 months | No |
Secondary | Expectations of parents | The expectations of parents on the bio- and neurofeedback interventions will be assessed using an adapted version of the FERT. | 9 months | No |
Secondary | Motivation for the intervention | Motivation of the participants for the intervention will be assessed directly before every training session starts using a short self-assessment mainkin. Furthermore, an electrocardiogram (ECG) allows the investigators to measure the heart-rate variability which is hypothesized to be directly associated with motivation. | 3-4 months | No |