Proven technology for early detection of cognitive impairment
Researchers across a wide variety of organizations have studied Linus Health’s digital clock technology extensively and their findings have appeared in more than 20 peer-reviewed, scientific publications to-date. Top-tier research not only shows DCTclock’s ability to outperform traditional cognitive tests, such as the MMSE, in detecting early signs of cognitive dysfunction, but also its unique association with amyloid and tau biomarkers (via PET scan) in clinically asymptomatic individuals.
This robust research validates the technology's use for effective and efficient – completed in three minutes or less – early detection of cognitive impairment. With broadening utility in both research and clinical care, Linus Health's platform is uniquely positioned to help unlock earlier windows of opportunity for intervention to protect and improve brain health.
Using digital assessment technology to detect neuropsychological problems in primary care settings
Frontiers in Aging Neuroscience | 17 November 2023
The CCE is a powerful neurocognitive assessment tool that is sensitive to patient’s subjective concerns about possible decline in memory, mood symptoms, possible cognitive impairment, and cardiovascular risk. iPad administration ensures total reliability for test administration and scoring. The CCE is easily deployable in outpatient ambulatory primary care settings.
The functional connectivity and neuropsychology underlying mental planning operations: data from the digital clock drawing test
Frontiers in Aging Neuroscience | 20 September 2022
Performance on the DCTclock, specifically digit misplacement in the Command Clock, is associated with functional connectivity between key structures involved in executive functions and the cholinergic pathway in the brain: the basal nucleus of Meynert (BNM) and the anterior cingulate cortex (ACC). This study combined the DCTclock with resting-state functional brain imaging (fMRI) to explore a potential link between digit misplacement and the functional connectivity between the BNM and ACC.
The ACC is an important area of the brain involved with executive abilities like mental planning and the BNM is a major source of acetylcholine (ACH), a key neurotransmitter related to executive abilities often disrupted in patients with Alzheimer’s disease. The study showed an association between digital placement accuracy and BNM-ACC functional connectivity; individuals with MCI had greater digit misplacement on the Command Clock and lower BNM-ACC connectivity.
Associations Between the Digital Clock Drawing Test and Brain Volume: Large Community-Based Prospective Cohort (Framingham Heart Study)
Frontiers in Aging Neuroscience | 15 April 2022
DCTclock scores are associated with brain atrophy – an important physical marker of cognitive impairment – as measured by MRI, demonstrating its use as a practical tool to assess subtle cognitive changes occurring in MCI or early dementia stages. In a large community-based cohort (n=1656), linear regression models were used to assess the associations between 18 DCTclock composite scores and brain MRI measures related to atrophy, including total cerebral brain volume (TCBV) and both cerebral gray and white matter volumes. Therefore, DCTclock composite scores can predict imaging markers of cognitive impairment and have the potential to be used as a cognitive assessment tool in the clinical diagnosis of MCI.
Dissociating Statistically Determined Normal Cognitive Abilities and Mild Cognitive Impairment Subtypes with DCTclock
Journal of International Neuropsychological Society | 21 February 2022
DCTclock metrics not only accurately identify cognitively normal older adults from those with mild cognitive impairment (MCI), but also distinguish between various cognitive impairment subtypes: Subtle Cognitive Impairment (SCI); Amnestic Mild Cognitive Impairment (aMCI); and Mixed/dysexecutive Mild Cognitive Impairment (mx/dysMCI.). In a study of 103 participants, extensive examination and analysis (neuropsychological testing, MRI, bloodwork, and subjective interviews) was done to determine cognitive status (MCI vs. cognitively normal) as well as MCI subtype. Participants then completed the DCTclock assessment. Results of the DCTclock showed significant alignment with classification of MCI subtypes, suggesting that digital technology can contribute to more efficient, scalable diagnostic decision-making at critical early disease stages.
DCTclock: Clinically-Interpretable and Automated Artificial Intelligence Analysis of Drawing Behavior for Capturing Cognition
Frontiers in Digital Health | 15 October 2021
DCTclock offers significant improvement in the detection of early stages of cognitive impairment when compared to the Mini Mental State Exam (MMSE). In a large study (n= 591), participants who were known to be either cognitively normal or have mild cognitive impairment (MCI) took both the MMSE and the DCTclock assessments. When compared with MMSE, DCTclock demonstrated higher sensitivity for detecting MCI, accurately identifying many individuals with MCI that the MMSE mis-classified as cognitively normal. Results suggest that when compared to MMSE, DCTclock may be a beneficial, more efficient, and more sensitive aid in the diagnostic process for mild cognitive impairment.
Association Between the Digital Clock Drawing Test and Neuropsychological Test Performance: Large Community-Based Prospective Cohort (Framingham Heart Study)
Journal of Medical Internet Research | 6 August 2021
The digital clock drawing test is a reliable assessment tool in detecting mild cognitive impairment. Composite scores derived from the digitial clock drawing test (dCDT) were significantly associated with both neuropsychological tests and mild cognitive impairment, demonstrating the potential use of the dCDT as a tool for cognitive assessment in large community-based populations.
Quantitative digital clock drawing test as a sensitive tool to detect subtle cognitive impairments in early stage Parkinson's disease
Parkinsonism & Related Disorders | 4 August 2021
The DCTclock is more sensitive than standard neuropsychologic tests in the detection and identification of subtle cognitive decline in early Parkinson's Disease. The identification of early cognitive decline may improve the clinical management of Parkinson's disease patients and be useful for cognitive-related clinical trials.
Classifying Non-Dementia and Alzheimer's Disease/Vascular Dementia Patients Using Kinematic, Time-Based, and Visuospatial Parameters: The Digital Clock Drawing Test
Journal of Alzheimer's Disease | 29 June 2021
The digital clock drawing test provides additional neurocognitive biomarkers that may be able to identify and track dementia syndromes. The digital clock drawing test obtains and operationally defines graphomotor output — such as kinematic, time-based, and visuospatial behavior — output not measured using traditional paper and pencil test methods with older healthy controls and participants with dementia.
Parkinson’s Disease Cognitive Phenotypes Show Unique Clock Drawing Features When Measured with Digital Technology
Journal of Parkinson's Disease | 13 April 2021
The DCTclock captures subtle clock drawing behaviors that can help distinguish between various Parkinson's diagnoses. Subtle digital clock drawing behaviors—such as drawing latency and graphomotor metrics—differ between Parkinson's Disease (PD) and non-PD peers, and distinguish between the PD cognitive phenotypes low executive (PDExe), cognitively well (PDWell), and low memory (PDMem).
Association of Digital Clock Drawing With PET Amyloid and Tau Pathology in Normal Older Adults
Neurology | 6 April 2021
DCTclock has a demonstrated association with key biomarkers of Alzheimer's Disease (AD), amyloid and tau (via PET scan), in clinically asymptomatic older adults. In addition, DCTclock showed excellent discrimination between diagnostic groups – clinically normal and mild cognitive impairment/early AD – while requiring a fraction of the time than the PACC, a collection of standard neuropsychological tests researchers compared the DCTclock to in this 300-person study. Furthermore, among clinically normal individuals specifically, the DCTclock showed better discrimination between amyloid positive and negative participants than the PACC. Having set out to determine if a digital clock drawing test improves upon standard cognitive assessments for discriminating diagnostic groups and detecting biomarker evidence of amyloid and tau pathology in asymptomatic adults, researchers concluded that "DCTclock discriminates between diagnostic groups and improves upon traditional cognitive tests for detecting [these] biomarkers" among this group, emphasizing its accuracy and relatively short administration time.
Clock Drawing Performance Slows for Older Adults After Total Knee Replacement Surgery
Anesthesia & Analgesia | July 2019
The DCTclock provides insight into cognitive changes in patients who underwent knee surgery with general anethesia. Study findings show that digital clock drawing behaviors significantly slowed for individuals electing total knee arthroplasty surgery with general anesthesia, demonstrating that clock drawing digital technology can provide insight into perioperative cognitive changes.
Age and Graphomotor Decision Making Assessed with the Digital Clock Drawing Test: The Framingham Heart Study
Journal of Alzheimer's Disease | 21 August 2017
The digital clock drawing test (dCDT) detects biomarkers of Alzheimer's disease and other neurocognitive disorders. The dCDT examines neurocognitive constructs related to higher-order neurocognitive decision-making and information processing speed, as longer age-related decision-making latencies may reflect a greater need for working memory — a potential neurocognitive biomarker of AD.
Cognitive and connectome properties detectable through individual differences in graphomotor organization
Neuropsychologia | May 2016
Graphomotor organization, defined as using "anchor" digits (i.e., 12, 3, 6, 9) before any other digits while completing a digital Clock Drawing Test, was associated with differences in cognitive and connectome properties. Individuals who used anchor digits displayed 1) better performance in specific cognitive domains, 2) higher local efficiency suggesting better regional integration, and 3) more sophisticated modular integration involving the ventral (‘what’) visuospatial processing stream.
Learning classification models of cognitive conditions from subtle behaviors in the digital Clock Drawing Test
Machine Learning | 20 October 2015
The digital clock drawing test demonstrates the possibility of substantial improvement in detecting earlier cognitive impairment, through new machine learning methods and predictive modeling. The analysis suggests the potential use of the dCDT to make significant improvements in both cognitive screening and diagnosis, as well as the potential use of these methods and models in clinical practice.
Digital clock drawing: Differentiating ‘thinking’ versus ‘doing’ in younger and older adults with depression
Journal of International Neuropsychological Society | 20 October 2014
Regardless of age, the digital clock drawing test can detect signs of depression. Digital clock drawing metrics can detect signs of depression as indexed by psychomotor slowing. The dCDT metrics in younger adults with depression are similar to those in older adults without depression.
Deficits in Processing Speed and Decision Making in Relapsing-Remitting Multiple Sclerosis: The Digit Clock Drawing Test (dCDT)
Journal of Multiple Sclerosis | 1 September 2014
The digital clock drawing test can identify executive dysfunction known to be present in multiple sclerosis. The dCDT complements traditional clock scoring methods, captures behavior previously unobtainable, such as time elapsed between clock drawing components, average time between drawing numbers, and total drawing time, and is related to processing speed and dysexecutive impairment known to be present in MS.