Overview

The goal of this observational study is to evaluate the functionality and usability of Indivi mobile application-based cognitive activities in people with mild cognitive impairment/mild Alzheimer's disease (PwMCI/AD) and healthy controls (HC). This application uses a dynamic difficulty adjustment (DDA) system that customizes the level of the cognitive activities to each user.

The main questions it aims to answer are:

• Does the DDA system reach a stable difficulty level at the same rate for both PwMCI/AD and HC?
• Is the stable difficulty level reached by the DDA system different for PwMCI/AD compared to HC?

Researchers will also compare cognitive activities results and other aspects of the mobile application's performance to see if the application can validly distinguish between the two groups.

Participants will use the Indivi mobile application, with its embedded DDA system, for a 6-week period.

Eligibility

Inclusion Criteria:

• Participant is part of BU-ADRC cohort.
• Participant is diagnosed with MCI, mild AD, or is classified as HC per BU-ADRC, with available required data for inclusion obtained less than 2 years before the inclusion.
• Participant is between 50 and 90 years old, included.
• Participant is able to use a smartphone.
• Participant has sufficient knowledge of the English language.
• Participant is able to and has an intention to follow the study procedures.
• Informed Consent as documented by signature.

Exclusion Criteria:

• Participant has any neurological condition that may be contributing to cognitive impairment (above and beyond that caused by the subject's MCI or AD).
• Participant has psychiatric diagnosis or symptoms, (e.g., hallucinations, major depression, or delusions) that could interfere with study procedures.
• Participant has a history of stroke or seizures within the last 24 months.
• Participant has a Geriatric Depression Scale (GDS) score ≥8.
• Participant has a severe visual or hearing impairment that would interfere with capacity to perform cognitive assessments.
• Known or suspected non-compliance.