An Observational Study Using Multimodal Sensors to Measure Cognitive Health in Adults and Distinguish Mild Cognitive Impairment From Normal Aging

NCT ID: NCT05058950

Last Updated: 2023-09-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

TERMINATED

Total Enrollment

22720 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-09-20

Study Completion Date

2023-09-19

Brief Summary

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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.

Detailed Description

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Conditions

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Mild Cognitive Impairment Normal Aging

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Phenotyped in Research Objectively: Cognitively Normal

Participants with age ≥50 years and with a label of "cognitively normal" or its equivalent based on a clinical or research evaluation in the past 24 months will be enrolled virtually.

No interventions assigned to this group

Phenotyped in Research Objectively: MCI

Participants with age ≥50 years, with a label of "MCI" or its equivalent based on a clinical or research evaluation in the past 24 months will be enrolled virtually.

No interventions assigned to this group

Phenotyped in Research Objectively: Exploratory Biomarker

Participants with age ≥50 years, with documented positive result for an Alzheimer's disease biomarker, and with a label of "subjective cognitive complaints" or "cognitively normal" or its equivalent based on a clinical or research evaluation in the past 24 months will be enrolled virtually.

No interventions assigned to this group

Aging Across Adulthood: MCI

Participants with age ≥50 years, with a diagnosis of MCI, mild neurocognitive disorder (MND), or cognitively impaired, not demented (CIND) will be enrolled virtually from the community.

No interventions assigned to this group

Aging Across Adulthood: Subjective Cognitive Complaint

Participants with age ≥50 years and positive screen result from Cognitive Function Instrument (CFI) will be enrolled virtually from the community.

No interventions assigned to this group

Aging Across Adulthood: Cognitively Normal With Risk Factor For Dementia

Participants with age ≥60 years and self-reported history of a minimum of 2-4 risk factors for cognitive decline will be enrolled virtually from the community.

No interventions assigned to this group

Aging Across Adulthood: Cognitively Normal Without Risk Factors For Dementia

Participants with age ≥60 years having missing descriptor of minimal risk factors for cognitive decline will be enrolled virtually from the community.

No interventions assigned to this group

Aging Across Adulthood: Cognitively Normal

Participants with age 21 to 59 years will be enrolled virtually from the community.

No interventions assigned to this group

Eligibility Criteria

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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).

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.
Minimum Eligible Age

21 Years

Maximum Eligible Age

86 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Apple Inc.

INDUSTRY

Sponsor Role collaborator

Biogen

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Medical Director

Role: STUDY_DIRECTOR

Biogen

Locations

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Virtual App-Based Study

Cambridge, Massachusetts, United States

Site Status

Countries

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United States

References

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Butler PM, Yang J, Brown R, Hobbs M, Becker A, Penalver-Andres J, Syz P, Muller S, Cosne G, Juraver A, Song HH, Saha-Chaudhuri P, Roggen D, Scotland A, Silveira N, Demircioglu G, Gabelle A, Hughes R, Erkkinen MG, Langbaum JB, Lingler JH, Price P, Quiroz YT, Sha SJ, Sliwinski M, Porsteinsson AP, Au R, Bianchi MT, Lenyoun H, Pham H, Patel M, Belachew S. Smartwatch- and smartphone-based remote assessment of brain health and detection of mild cognitive impairment. Nat Med. 2025 Mar;31(3):829-839. doi: 10.1038/s41591-024-03475-9. Epub 2025 Mar 4.

Reference Type DERIVED
PMID: 40038507 (View on PubMed)

Related Links

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https://www.intuitionstudy.com/

For additional information about the study: https://www.intuitionstudy.com/

Other Identifiers

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285PI401

Identifier Type: -

Identifier Source: org_study_id

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