Predictive Executive Functioning Models Using Interactive Tangible-Graphical Interface Devices

November 12, 2019 updated by: CogCubed, Corp

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

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.

Study Overview

Detailed Description

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.

Study Type

Interventional

Enrollment (Actual)

113

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Minnesota
      • Saint Louis Park, Minnesota, United States, 55416
        • Groves Academy
      • Waconia, Minnesota, United States, 55387
        • Egli Assessment

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

6 years to 17 years (Child)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Screening
  • Allocation: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Placebo Comparator: Controls who played Groundskeeper game
Controls played a go/no go task on Sifteo cubes to asses for attentional capabilities.
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.
Active Comparator: Probands played groundskeeper game
Patients with ADHD played a go/no go task on Sifteo cubes to asses for attentional capabilities
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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).
30 minutes

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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).
30 minutes
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).
30 minutes

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Monika D Roots, MD, CogCubed, Corp
  • Principal Investigator: Jaideep Srivastava, PhD, CogCubed, Corp

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2012

Primary Completion (Actual)

December 5, 2016

Study Completion (Actual)

December 5, 2016

Study Registration Dates

First Submitted

October 16, 2012

First Submitted That Met QC Criteria

October 18, 2012

First Posted (Estimate)

October 22, 2012

Study Record Updates

Last Update Posted (Actual)

December 3, 2019

Last Update Submitted That Met QC Criteria

November 12, 2019

Last Verified

November 1, 2019

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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