The Effect of Non-pharmacological Novel Cognitive Interventions on Motor-Cognitive Function in Children With ADHD
NCT ID: NCT02071186
Last Updated: 2014-02-25
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
60 participants
INTERVENTIONAL
2014-03-31
Brief Summary
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Detailed Description
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Non-pharmacological treatment approaches teach strategies aimed at improving behavior and environmental management. Evidence on efficacy of these treatments is lacking and the literature only supports the 'parental education' approach.
Motor aspects of the disorder tend to be undertreated. Studies have shown that persistent use of MPH has a positive effect on motor output timing and coordination in children with ADHD. Thus non-pharmacological interventions aimed at improving attention are likely to also improve other aspects of the disorder such as motor problems and thus should be further explored.
Various computerized remediation programs have been developed as a non-pharmacological alternative for children with ADHD. The programs present exercises that require sustained attention and a response to set rules and are often graded in task complexity according to the user's abilities.
Virtual Reality (VR) is a simulation of the real world using computer graphics that requires interaction, immersion and active participation by the user. VR applications have shown to be effective in improving attention in children and adolescents with behavioral problems, teaching them to focus on some tasks more than existing cognitive training programs. VR while walking has demonstrated improvements in both motor and cognitive function in older adults and patients with neurodegenerative diseases suggesting a beneficial effect on motor and cognitive function. However this treatment has not been tested yet in ADHD.
The study will investigate the following aims:
1. To compare the effect of computerized cognitive remediation and VR on attention and gait in children with ADHD.
2. To examine the long term effects of computerized cognitive remediation and VR on attention and gait in children with ADHD.
3. To compare, in an exploratory analysis, the effects of the non-pharmacological training paradigms to standard of care treatment on attention and gait in children with ADHD.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
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Virtual Reality training
Subjects will be asked to walk on a treadmill while negotiating virtual obstacles. The VR system includes a camera based motion capture and a computer generated simulation. The camera is used to capture the movement of the participant's feet. These images are then transferred to the computer simulation and projected to the patient on a screen. The speed, orientation, size, frequency of appearance and shape of the targets are manipulated to increase task difficulty. The Virtual environment imposes a cognitive load requiring attention and response selection as well as processing of rich visual stimuli involving several perceptual processes. The system provides visual and auditory feedback of task performance to enhance motor learning.
Virtual Reality training
Subjects will train with the VR system at the Tel Aviv Sourasky Medical Center 3 times per week for 6 weeks with each session lasting approximately 30 minutes.
To assure participants' safety and maintaining progress, training with the VR will be individual and provided by qualified physiotherapists, who use the system on a daily basis.
Computerized Cognitive Remediation
The "AttenGo" program will be used for neuro-cognitive remediation aimed at enhancing attention, concentration, working memory, and executive function. The program has shown to be effective in improving attention and executive function in children with ADHD. The training is composed of cognitive exercises that challenge subjects with problem solving, information processing, response inhibition and dividing attention. The users receive immediate feedback from the system when losing focus. The program is adaptive and progresses according to the subjects abilities.
Computerized Cognitive Remediation
Subjects in this study will train with the AttenGo program at home 3-5 times per week for 6 weeks with each session lasting approximately 30 minutes.
Control group
Subjects in this group will be assessed based on the study protocol but will receive no treatment other than their standard of care which could include pharmacological or/ and non-pharmacological treatment.
Standard of care
Interventions
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Virtual Reality training
Subjects will train with the VR system at the Tel Aviv Sourasky Medical Center 3 times per week for 6 weeks with each session lasting approximately 30 minutes.
To assure participants' safety and maintaining progress, training with the VR will be individual and provided by qualified physiotherapists, who use the system on a daily basis.
Computerized Cognitive Remediation
Subjects in this study will train with the AttenGo program at home 3-5 times per week for 6 weeks with each session lasting approximately 30 minutes.
Standard of care
Eligibility Criteria
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Inclusion Criteria
* Attending regular education frameworks
* Have access to a personal computer at home
Exclusion Criteria
* Are taking any other medication that could affect attention, balance or motor function
* Have a serious medical condition that could affect attention, gait or balance
* Have any known genetic syndromes, autism, neurological conditions or psychiatric disorders or any medical illness requiring immediate treatment
* Are participating in a competing exercise program designed to improve gait or balance
8 Years
12 Years
ALL
No
Sponsors
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Tel-Aviv Sourasky Medical Center
OTHER_GOV
Responsible Party
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Principal Investigators
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Yael Leitner, MD
Role: PRINCIPAL_INVESTIGATOR
Tel-Aviv Sourasky Medical Center
Locations
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Tel Aviv Sourasky Medical Center
Tel Aviv, , Israel
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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TASMC-13-YL-0544-CTIL
Identifier Type: -
Identifier Source: org_study_id
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