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Completed

NCT Number: NCT01711372

Predictive Executive Functioning Models Using Interactive Tangible-Graphical Interface Devices

A new company called CogCubed has created a new game based on the Sifteo Cube (http://www.sifteo.com) platform. These new hands-on digitized cubes are unique, motion-sensitive wireless blocks that contain multiple sensors that can interact with one another. CogCubed is providing the data for this study. The game will be played in a 30 minute sessions by subjects ages 6-17. Subjects recruited to play the game will be those with ADHD and those without, matched by gender and age. Those with comorbidities of developmental delay, mental retardation, psychosis, schizophrenia, bipolar disorder and substance use disorders will be excluded, as well as any physiological disability that affects upper limb movement and/or coordination. Informed consent will be obtained from parents and patient prior to administering the game. Parents will fill out a Conner's Brief Rating Scale and a Conner's Brief Rating Scale, Teacher's version will also be supplied to be filled out at school. The hypothesis is that by analyzing data generated from this new gaming platform named Sifteo for which a game was created, which uses auditory and visual stimuli and distracters, the investigators expect that they will be able to provide a more accurate profile of impulsivity and inattention.

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Key information

Age range

6 year–17 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Groves Academy, Saint Louis Park, Minnesota, United States

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About this study

Current diagnostic aids used in treating ADHD are currently expensive, time intensive, and provide little information about accessory movements in response to a stimulus. One in ten children, ages 5 to 17, has been diagnosed with ADHD.

Tests such as the Conners' Rating Scale require subjective responses from parents and teachers, making coordination difficult. The computerized Conners' Continuous Performance Test (CPT) provides objective data in regards to inattention and impulsive patterns of response. However, it does not provide data regarding accessory movements such as restlessness, hyperactivity, and other inappropriate movements. If the subject taking the exam has a reading disorder, it will impair his or her ability to respond accurately and it will increase response time. The T.O.V.A. is another computer based test used as a diagnostic aid for ADHD, which uses a microswitch to record responses. It does utilize auditory and visual stimuli, which removes the reading level limitation. However, it is unable to measure to measure accessory movements that may be contributing to reaction time and errors of omission and commission.

Because of these limitations, a new company called CogCubed has created a new game based on the Sifteo Cube (http://www.sifteo.com) platform. These new hands-on digitized cubes are unique, motion-sensitive wireless blocks that contain multiple sensors that can interact with one another. CogCubed is providing the data for this study. The game will be played in a 30 minute sessions by subjects ages 6-17. Subjects recruited to play the game will be those with ADHD and those without, matched by gender and age. Those with comorbidities of developmental delay, mental retardation, psychosis, schizophrenia, bipolar disorder and substance use disorders will be excluded, as well as any physiological disability that affects upper limb movement and/or coordination. Informed consent will be obtained from parents and patient prior to administering the game. Parents will fill out a Conner's Brief Rating Scale and a Conner's Brief Rating Scale, Teacher's version will also be supplied to be filled out at school.

The hypothesis is that by analyzing data generated from this new gaming platform named Sifteo for which a game was created, which uses auditory and visual stimuli and distracters, the investigators expect that they will be able to provide a more accurate profile of impulsivity and inattention. The investigators expect that inattention will have more errors of omission and less tilt movements than control and impulsivity will be represented as more commission and greater tilting movements than control. This trial builds on the previous results of our phase 1 trials used to create the predictive algorithms to analyze the data and predict the likelihood of ADHD diagnosis based on patterns of game play behavior.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age 6-17, males and females
  • Individuals with ADHD
  • Individuals without ADHD
  • Depressive Disorders
  • Anxiety Disorders
  • Oppositional Defiant Disorder
  • Panic Disorder
  • Eating Disorder

Exclusion criteria

  • Developmental Delay
  • IQ below 70
  • Low functioning Autism Spectrum Disorders
  • Psychosis
  • Substance Use Disorders
  • Medical comorbidities that involve any motoric disability that affects upper-limb movement and/or strength

Treatment and study plan

Groundskeeper game for controls

Device

The Groundskeeper game is a go/no go task that captures reaction time and movement using the accelerometers and touch capabilities of the Sifteo cubes.

Groundskeeper game for ADHD

Device

The Groundskeeper game is a go/no go task that captures reaction time and movement using the accelerometers and touch capabilities of the Sifteo cubes.

Primary outcomes

  1. Area Under the Receiver Operating Characteristic (ROC) Curve- Groundskeeper Game

    Time frame: 30 minutes

    ROC charts the false-positive (horizontal axis) and the sensitivity or true-positive rate (vertical axis) of the Groundskeeper game at discriminating child psychiatric patients with and without ADHD. Determines diagnostic accuracy of Groundskeeper game for ADHD. For each participant, predicted values were computed from the logistic regression models (correcting for age, sex and medication status). For each successive point on the logit scale sensitivity and specificity of the logit was computed as a predictor of ADHD diagnosis, by predicting those higher than the cut-point to have ADHD and the others not to have ADHD. These data were used to draw the ROC curve. ROC analysis summarized diagnostic efficiency with the area under the curve (AUC) statistic. The AUC ranges from 0.5 (for a diagnostically useless test) to 1.0 (for a diagnostic test that is a perfect predictor).

Secondary outcomes

  1. Area Under the Receiver Operating Characteristic (ROC) Curve- Conners Brief Rating Scale Parent Version (Inattention Subscale)

    Time frame: 30 minutes

    Parent completed the Connors Brief rating Scale Parent Version, with the Inattention subscale extracted for analysis. Scores for this assessment are converted to percentile scores for each age group with higher scores indicating more likelihood of ADHD. ROC charts the false-positive rate (horizontal axis) and the sensitivity or true-positive rate (vertical axis) of discriminating child psychiatric patients with and without ADHD. Determines diagnostic accuracy of Conners Scale for ADHD. ROC analysis summarizes diagnostic efficiency with the area under the curve (AUC) statistic. The AUC ranges from 0.5 (for a diagnostically useless test) to 1.0 (for a diagnostic test that is a perfect predictor).

  2. Area Under the Receiver Operating Characteristic (ROC) Curve- Continuous Performance Task (CPT)

    Time frame: 30 minutes

    CPT measures sustained attention. Participants were asked to press the space bar whenever any letter except the letter "X: appeared on the computer screen. Used the percent certainty that the CPT II results were in the clinical range in this analysis. ROC charts the false-positive rate (horizontal axis) and the sensitivity or true-positive rate (vertical axis) of discriminating child psychiatric patients with and without ADHD. Determines diagnostic accuracy of Conners scales for ADHD. ROC analysis summarizes diagnostic efficiency with the Area Under the Curve (AUC) statistic. The AUC ranges from 0.5 (for a diagnostically useless test) to 1.0 (for a diagnostic test that is a perfect predictor).

Sponsors and collaborators

Lead sponsor

CogCubed, Corp

Industry

Registry information

Official study title

Predictive Executive Functioning Models Using Interactive Tangible-Graphical Interface Devices, Phase 2 Trials

Important dates

Study start
2012
Primary completion
2016
Study completion
2016
First posted
Oct 22, 2012
Registry last updated
Dec 3, 2019

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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