%0 Journal Article
%@ 2561-326X
%I JMIR Publications
%V 8
%N 
%P e51943
%T Algorithmic Spaced Retrieval Enhances Long-Term Memory in Alzheimer Disease: Case-Control Pilot Study
%A Smith,Amy M
%A Marin,Anna
%A DeCaro,Renee E
%A Feinn,Richard
%A Wack,Audrey
%A Hughes,Gregory I
%A Rivard,Nathaniel
%A Umashankar,Akshay
%A Turk,Katherine W
%A Budson,Andrew E
%+ Blank Slate Technologies, LLC, 4075 Wilson Blvd, Arlington, VA, 22203, United States, 1 2034018923, smitham192@gmail.com
%K Alzheimer disease
%K spaced retrieval
%K mobile app
%K assistive technology
%K episodic memory
%K semantic memory
%K mobile phone
%D 2024
%7 19.7.2024
%9 Original Paper
%J JMIR Form Res
%G English
%X Background: Spaced retrieval is a learning technique that involves engaging in repeated memory testing after increasingly lengthy intervals of time. Spaced retrieval has been shown to improve long-term memory in Alzheimer disease (AD), but it has historically been difficult to implement in the everyday lives of individuals with AD. Objective: This research aims to determine, in people with mild cognitive impairment (MCI) due to AD, the efficacy and feasibility of a mobile app that combines spaced retrieval with a machine learning algorithm to enhance memory retention. Specifically, the app prompts users to answer questions during brief daily sessions, and a machine learning algorithm tracks each user’s rate of forgetting to determine the optimal spacing schedule to prevent anticipated forgetting. Methods: In this pilot study, 61 participants (young adults: n=21, 34%; healthy older adults: n=20, 33%; people with MCI due to AD: n=20, 33%) used the app for 4 weeks to learn new facts and relearn forgotten name-face associations. Participation during the 4-week period was characterized by using the app once per day to answer 15 questions about the facts and names. After the 4-week learning phase, participants completed 2 recognition memory tests approximately 1 week apart, which tested memory for information they had studied using the app as well as information they had not studied. Results: After using the mobile app for 1 month, every person with MCI due to AD demonstrated improvements in memory for new facts that they had studied via the app compared to baseline (P<.001). All but one person with MCI due to AD (19/20, 95%) showed improvements of more than 10 percentage points, comparable to the improvements shown by young adults and healthy older adults. Memory for name-face associations was similarly improved for all participant groups after using the app but to a lesser degree. Furthermore, for both new facts and name-face associations, we found no memory decay for any participant group after they took a break of approximately 1 week from using the app at the end of the study. Regarding usability, of the 20 people with MCI due to AD, 16 (80%) self-adhered to the app’s automated practice schedule, and half of them (n=10, 50%) expressed an interest in continuing to use it. Conclusions: These results demonstrate early evidence that spaced retrieval mobile apps are both feasible for people with early-stage AD to use in their everyday lives and effective for supporting memory retention of recently learned facts and name-face associations. 
%M 39028554
%R 10.2196/51943
%U https://formative.jmir.org/2024/1/e51943
%U https://doi.org/10.2196/51943
%U http://www.ncbi.nlm.nih.gov/pubmed/39028554