Study Results
Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.
View full resultsBasic Information
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COMPLETED
NA
450 participants
INTERVENTIONAL
2017-07-11
2017-11-21
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
SCREENING
NONE
Study Groups
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All qualified participants
Participants received DCTclock, Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and a battery of other traditional pen and paper neuropsychological assessments.
DCTclock
DCTclock is a quick and non-invasive test that measures cognitive function based on a computerized algorithmic analysis of the entire drawing process and output of a well-established cognitive assessment called The Clock Drawing Test (CDT).
Interventions
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DCTclock
DCTclock is a quick and non-invasive test that measures cognitive function based on a computerized algorithmic analysis of the entire drawing process and output of a well-established cognitive assessment called The Clock Drawing Test (CDT).
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Physical impairment of the writing hand.
* Impaired manual dexterity.
* Impaired vision.
* Under the influence of recreational drugs or alcohol at the time of the visit.
* Current or recent participation in a clinical trial that includes the use of a drug or intervention to alter cognitive function.
* Recent cognitive testing.
55 Years
95 Years
ALL
Yes
Sponsors
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Digital Cognition Technologies
INDUSTRY
Responsible Party
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Principal Investigators
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Antonia H Holway, Ph.D.
Role: STUDY_DIRECTOR
Digital Cognition Technologies, Inc.
Locations
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Compass Research
Maitland, Florida, United States
Countries
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References
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Lamar M, Ajilore O, Leow A, Charlton R, Cohen J, GadElkarim J, Yang S, Zhang A, Davis R, Penney D, Libon DJ, Kumar A. Cognitive and connectome properties detectable through individual differences in graphomotor organization. Neuropsychologia. 2016 May;85:301-9. doi: 10.1016/j.neuropsychologia.2016.03.034. Epub 2016 Mar 30.
Souillard-Mandar W, Davis R, Rudin C, Au R, Libon DJ, Swenson R, Price CC, Lamar M, Penney DL. Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test. Mach Learn. 2016 Mar;102(3):393-441. doi: 10.1007/s10994-015-5529-5. Epub 2015 Oct 20.
Cohen J, Penney DL, Davis R, Libon DJ, Swenson RA, Ajilore O, Kumar A, Lamar M. Digital Clock Drawing: differentiating "thinking" versus "doing" in younger and older adults with depression. J Int Neuropsychol Soc. 2014 Oct;20(9):920-8. doi: 10.1017/S1355617714000757. Epub 2014 Sep 15.
Davis R, Libon DJ, Au R, Pitman D, Penney DL. THink: Inferring Cognitive Status from Subtle Behaviors. Proc AAAI Conf Artif Intell. 2014 Jul;2014:2898-2905.
Provided Documents
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Document Type: Statistical Analysis Plan
Document Type: Study Protocol
Other Identifiers
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DCT032
Identifier Type: -
Identifier Source: org_study_id
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