Neuroplasticity Technology for Attention-deficit/Hyperactivity Disorder (ADHD)
1 other identifier
interventional
41
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Jul 2013
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 18, 2013
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 3, 2014
CompletedStudy Completion
Last participant's last visit for all outcomes
March 3, 2014
CompletedFirst Submitted
Initial submission to the registry
November 10, 2017
CompletedFirst Posted
Study publicly available on registry
December 6, 2017
CompletedDecember 12, 2017
December 1, 2017
8 months
November 10, 2017
December 10, 2017
Conditions
Outcome Measures
Primary Outcomes (2)
Change in Average Parent-Reported Inattention Symptoms
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.
Baseline and 4-weeks
Change in Average Parent-Reported Hyperactivity Symptoms
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.
Baseline and 4-weeks
Secondary Outcomes (4)
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 Teacher Reported Hyperactivity
Baseline and 4-weeks
Change in N200 Event-Related Potential (ERP) Component During Inhibition
Baseline and 4-weeks
Other Outcomes (5)
Change in NEPSY-II Inhibition Scale Score
Baseline and 4-weeks
Change in Math Ability on the Woodcock Johnson III
Baseline and-4 weeks
Change in Working Memory Capacity
Baseline and 4 weeks
- +2 more other outcomes
Study Arms (2)
Adaptive Inhibitory Control Training
EXPERIMENTALParticipants 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.
Non-Adaptive Inhibitory Control Training
ACTIVE COMPARATORParticipants 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).
Interventions
Playing computerized stop-signal reaction time tasks that had been modified to increase in difficulty as performance increased.
Playing computerized stop-signal reactions time tasks that do not change in difficulty level (non-adaptive).
Eligibility Criteria
You may qualify if:
- Diagnosis of inattentive or combined subtype ADHD by a licensed clinician and consistent acess to Wi-Fi at home.
You may not qualify if:
- 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).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Boston Children's Hospitallead
- Neuroscouting, L.L.C.collaborator
Study Sites (1)
Boston Children's Hospital
Boston, Massachusetts, 02115, United States
Related Publications (7)
Barkley RA. Behavioral inhibition, sustained attention, and executive functions: constructing a unifying theory of ADHD. Psychol Bull. 1997 Jan;121(1):65-94. doi: 10.1037/0033-2909.121.1.65.
PMID: 9000892BACKGROUNDNigg JT. Is ADHD a disinhibitory disorder? Psychol Bull. 2001 Sep;127(5):571-98. doi: 10.1037/0033-2909.127.5.571.
PMID: 11548968BACKGROUNDVaidya CJ, Bunge SA, Dudukovic NM, Zalecki CA, Elliott GR, Gabrieli JD. Altered neural substrates of cognitive control in childhood ADHD: evidence from functional magnetic resonance imaging. Am J Psychiatry. 2005 Sep;162(9):1605-13. doi: 10.1176/appi.ajp.162.9.1605.
PMID: 16135618BACKGROUNDBarry, R. J., and Clarke, A. R. (2012) Resting state EEG and symptoms of ADHD. Int. J. Psychophysiol. 85, 294.
BACKGROUNDRapport MD, Orban SA, Kofler MJ, Friedman LM. Do programs designed to train working memory, other executive functions, and attention benefit children with ADHD? A meta-analytic review of cognitive, academic, and behavioral outcomes. Clin Psychol Rev. 2013 Dec;33(8):1237-52. doi: 10.1016/j.cpr.2013.08.005. Epub 2013 Aug 24.
PMID: 24120258BACKGROUNDJohnstone SJ, Roodenrys S, Phillips E, Watt AJ, Mantz S. A pilot study of combined working memory and inhibition training for children with AD/HD. Atten Defic Hyperact Disord. 2010 Mar;2(1):31-42. doi: 10.1007/s12402-009-0017-z. Epub 2010 Jan 28.
PMID: 21432588BACKGROUNDMeyer KN, Santillana R, Miller B, Clapp W, Way M, Bridgman-Goines K, Sheridan MA. Computer-based inhibitory control training in children with Attention-Deficit/Hyperactivity Disorder (ADHD): Evidence for behavioral and neural impact. PLoS One. 2020 Nov 30;15(11):e0241352. doi: 10.1371/journal.pone.0241352. eCollection 2020.
PMID: 33253237DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Margaret Sheridan, PhD
University of North Carolina, Chapel Hill
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, INVESTIGATOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
November 10, 2017
First Posted
December 6, 2017
Study Start
July 18, 2013
Primary Completion
March 3, 2014
Study Completion
March 3, 2014
Last Updated
December 12, 2017
Record last verified: 2017-12
Data Sharing
- IPD Sharing
- Will not share
Because this is a preliminary study designed primarily to identify feasibility and presence of an effect of this kind of cognitive training on neural and behavioral outcomes in ADHD, we did not develop a data sharing plan. If researchers are interested in working with this data they are encouraged to contact the PI directly - Margaret Sheridan sheridan.margaret@unc.edu