Quantitative EEG Neurofeedback as an Add-on Therapy For Attention-deficit Hyperactivity Disorder (ADHD)
1 other identifier
interventional
102
0 countries
N/A
Brief Summary
Attention deficit/hyperactivity disorder (ADHD) is a common neurological disorder in children, mainly manifesting as attention deficit, excessive hyperactivity, and impulsivity. It is a chronic condition that affects millions of children and often continues into adulthood. The prevalence of ADHD in the worldwide is approximately 5%, predominantly occurring in boys, and more than half of patients continue to experience symptoms into adulthood. Children with ADHD have moral disorders and learning difficulties, and these factors will seriously affect their academic achievements and familial and social relationships; thus, treatment is necessary. Currently, the treatment for ADHD is usually pharmacological intervention, such as methylphenidate, Atomoxetine…. etc. However, research has suggested that pharmacological intervention has side effects on nervous system development in children, and the long-term efficacy is uncertain. In recent years, the efficacy of neurofeedback (NF) therapy, as a type of biofeedback method, has been proven in many diseases, such as mild cognitive impairment, epilepsy, and autism, depression, and anxiety. NF converts signals such as EEG into visual or auditory information, and then subjects selectively enhance or inhibit certain components through training. There are three common NF protocols for ADHD: theta/beta training, sensorimotor rhythm (SMR) training, and slow cortical potentials (SCP) training. This study adopts the theta/beta NF protocol. As a promising nonpharmacological alternative treatment for ADHD, the efficacy of NF has been proven in many studies. The use of quantitative EEG neurofeedback as an add-on therapy can be markedly beneficial to shorten the period of pharmacological treatment and with minimal side effects.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jan 2023
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Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 23, 2022
CompletedFirst Posted
Study publicly available on registry
December 2, 2022
CompletedStudy Start
First participant enrolled
January 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2024
CompletedDecember 2, 2022
November 1, 2022
5 months
November 23, 2022
November 23, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
Improvement of ADHD manifestations
Greater improvement in ADHD score between group B and Group A
6 months
Secondary Outcomes (1)
Improvement of intelligence
1 year
Study Arms (2)
Group A
PLACEBO COMPARATORGroup A including ADHD patients who will be treated according to The American academy of Pediatrics Guidelines with FDA-approved medications
Group B
ACTIVE COMPARATORGroup A including ADHD patients who will be treated according to The American academy of Pediatrics Guidelines with FDA-approved medications plus Quantitative EEG Neurofeedback
Interventions
A mathematical approach to analyzing EEG data, called quantitative electroencephalography (qEEG), can be used to develop a visual map of the type and location of brain waves or rhythms. Other more specific wave patterns, such as event-related potentials, can also be seen in the EEG.NF converts signals such as EEG into visual or auditory information, and then subjects selectively enhance or inhibit certain components through training. There are three common NF protocols for ADHD: theta/beta training, sensorimotor rhythm (SMR) training, and slow cortical potentials (SCP) training.
Ritalin (methylphenidate HCl); Ritalin LA, Ritalin SR Strattera (atomoxetine HCl)
Eligibility Criteria
You may qualify if:
- Patients diagnosed with ADHD according to DSM-5 Criteria for ADHD Age group: 4 years up to less than 16 years
You may not qualify if:
- \*Any patient with other neurological or psychological diseases e.g. Epilepsy, Autism, Cerebral palsy
- Any patient in a different age group
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Related Publications (2)
Arns M, Drinkenburg W, Leon Kenemans J. The effects of QEEG-informed neurofeedback in ADHD: an open-label pilot study. Appl Psychophysiol Biofeedback. 2012 Sep;37(3):171-80. doi: 10.1007/s10484-012-9191-4.
PMID: 22446998BACKGROUNDKrepel N, Egtberts T, Sack AT, Heinrich H, Ryan M, Arns M. A multicenter effectiveness trial of QEEG-informed neurofeedback in ADHD: Replication and treatment prediction. Neuroimage Clin. 2020;28:102399. doi: 10.1016/j.nicl.2020.102399. Epub 2020 Aug 25.
PMID: 32891892BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, CARE PROVIDER
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Mohamed Emad Eldaly
Study Record Dates
First Submitted
November 23, 2022
First Posted
December 2, 2022
Study Start
January 1, 2023
Primary Completion
June 1, 2023
Study Completion
January 1, 2024
Last Updated
December 2, 2022
Record last verified: 2022-11