Log In

Forgot Password?
Create New Account

Loading... please wait

Abstract Details

Reliability of tablet-based Digital Clock Drawing Task (DCTclock) for Automated Detection of Cognitive Impairment
Aging, Dementia, and Behavioral Neurology
P6 - Poster Session 6 (5:30 PM-6:30 PM)
7-005

dCDT is a validated digital Clock Drawing Task (CDT), which can be administered in ~3 minutes, and extracts cognitive- and motor-related features, enabling detection of cognitive impairment (CI). The original dCDT relied on a digitizing pen and specific paper, which can be costly and inefficient. We developed a tablet-based dCDT, DCTclock™, which is administered with a stylus on an iPad, decreasing the cost and improving its accessibility. We previously established the CI-classification equivalence of pen- and tablet-based versions of DCTclock™. Here we evaluate its reliability, psychometrics, and accuracy of clock element classification.

Analyze the reliability, validity, learning effects, and psychometrics of a novel digital Clock Drawing Task (dCDT), and evaluate the accuracy and reliability of its automated feature-analysis.

Dataset 1 (N=4963), Dataset 2 (N=170), and Dataset 3 (N=501) including cognitively normal (CN) and CI participants were analyzed for psychometrics. Datasets 1 and 4 (N=432) were analyzed for reliability and learning effects. All datasets were analyzed for automated clock element classification accuracy.

DCTclock scores showed good test-retest reliability in a sample of CN and CI participants (r=0.8) and an independent CN sample (r=0.7). 1% (n=10) and 56% (n=581) of CN participants scored at floor and ceiling, respectively, compared to 40% (n=306) and 17% (n=130) for CI participants. Average 1-week and 3-week score changes were +9.8 (p<0.05) and +0.5 (n.s.), respectively. Overall, 1.56% of clocks were unanalyzable due to missing components. Clock element-classification accuracy was 99.6% and 99.3% for CN and CI groups, respectively.

DCTclock™ is a fast cognitive assessment with good test-retest reliability and high sensitivity and accuracy for detection of cognitive impairment. Automated drawing element classification is highly accurate. DCTclock™ is a robust cognitive-screening tool that enables frequent assessments while maintaining reliability in clinical settings.

Authors/Disclosures
Connor P. Higgins, Other (Linus Health)
PRESENTER
Mr. Higgins has received personal compensation for serving as an employee of Infosys Ltd.
Timothy Helbig (Linus Health) Mr. Helbig has received personal compensation for serving as an employee of Linus Health. Mr. Helbig has received personal compensation for serving as an employee of edX.
Claudio Toro-Serey, PhD (Linus Health) Dr. Toro-Serey has received personal compensation for serving as an employee of Linus Health.
No disclosure on file
Ali Jannati, MD, PhD (BIDMC, Harvard Medical School) Dr. Jannati has received personal compensation for serving as an employee of Linus Health. Dr. Jannati has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Boston Children's Hospital, Harvard Medical School.
No disclosure on file
No disclosure on file
Alvaro Pascual-Leone, MD, PhD, FAAN (Marcus Institute for Aging Research & Wolk Center for Memory Health) Dr. Pascual-Leone has received personal compensation for serving as an employee of Linus Health. Dr. Pascual-Leone has received personal compensation in the range of $5,000-$9,999 for serving as a Consultant for Magstim. Dr. Pascual-Leone has received personal compensation in the range of $5,000-$9,999 for serving as a Consultant for Neuroelectrics. Dr. Pascual-Leone has received personal compensation in the range of $500-$4,999 for serving as a Consultant for TetraNeuron. Dr. Pascual-Leone has received personal compensation in the range of $500-$4,999 for serving as a Consultant for MedRhythms. Dr. Pascual-Leone has received personal compensation in the range of $100,000-$499,999 for serving as an officer or member of the Board of Directors for Linus Health. Dr. Pascual-Leone has received personal compensation in the range of $5,000-$9,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for Annals of Neurology. Dr. Pascual-Leone has stock in TI Solutions. The institution of Dr. Pascual-Leone has received research support from NIH. The institution of Dr. Pascual-Leone has received research support from NSF. The institution of Dr. Pascual-Leone has received research support from Brightfocus Foundation . Dr. Pascual-Leone has received intellectual property interests from a discovery or technology relating to health care. Dr. Pascual-Leone has received publishing royalties from a publication relating to health care.
No disclosure on file
No disclosure on file
Sean Tobyne, PhD (Linus Health) Dr. Tobyne has received personal compensation for serving as an employee of Linus Health. Dr. Tobyne has received personal compensation for serving as an employee of Charles River Analytics. Dr. Tobyne has received stock or an ownership interest from Charles River Analytics. The institution of Dr. Tobyne has received research support from National Institutes of Health. The institution of Dr. Tobyne has received research support from Department of Defense.