Mild Cognitive Impairment, Normal Aging
Conditions
Brief summary
The primary objectives are to develop and validate a classifier using multimodal passive sensor data and metrics derived from normal iPhone and Apple Watch usage to distinguish individuals with normal cognition from those with mild cognitive impairment (MCI) and to develop and validate a cognitive wellness score that tracks fluctuations in cognitive performance over time using multimodal passive sensor data and metrics derived from normal iPhone and Apple Watch usage.
Interventions
None listed
Sponsors
Apple Inc.
Biogen
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
21 Years to 86 Years
Healthy volunteers
Yes
Inclusion criteria
Key Inclusion Criteria: * Fluent in spoken and written English * Minimum 8 years of education or 8th grade equivalent. * Willing to authorize the use of confidential health information in accordance with applicable privacy regulations. * Willing to wear an Apple Watch for daily use for the duration of the study. * Willing to use their personal iPhone for routine daily use for the duration of the study. * Technical requirements: iPhone models: iPhone 8 or newer iOS versions: current publicly available iOS version * Access to one of the following personal computing devices. Microsoft Windows based personal computers (laptops and desktops) Mac personal computers (laptops and desktops) Apple iPad tablets * Access to WiFi or hardwired internet access in participant's place of residence. * Active email address for enrollment account creation and for use in relaying study information. * Active mobile telephone number for use in relaying study information when appropriate. * Primary address within the United States (50 states and Washington, DC; not a post office (PO) box). Key
Exclusion criteria
* Inability to comply with study requirements. * Any self-reported medical history of dementia (such as Alzheimer's disease, frontotemporal dementia, dementia with Lewy body, vascular dementia, rapidly progressive dementia, or Parkinson's disease dementia). * Self-reported dependence on others to perform core activities of daily living, including feeding, dressing, bathing, toileting, or grooming. NOTE: Other protocol defined Inclusion/
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Sensitivity and Specificity of the Classifier in Distinguishing Between Individuals With and Without MCI | Up to Month 23 | A classifier is a mathematical function that uses collected data to calculate the probability that an individual belongs in a given category. The reference standard for the classifier is clinical diagnosis of MCI in normal clinical care or in a research cohort. |
| Correlation Between the Cognitive Wellness Score and the Neuropsychological Testing Battery Score | Up to Month 23 | To develop and validate a cognitive wellness score that tracks fluctuations in cognitive performance over time using multimodal passive sensor data and metrics derived from normal iPhone and Apple Watch usage. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Sensitivity and Specificity of the Classifier in Predicting Between Individuals Who Do and Do Not Develop MCI | Up to Month 23 | A classifier is a mathematical function that uses collected data to calculate the probability that an individual belongs in a given category. The reference standard for the classifier is clinical diagnosis of MCI in normal clinical care or in a research cohort. |
Countries
United States
Outcome results
None listed