Evidence map›Paper›PMID 41332864›Full record

ArticlemedRxiv : the preprint server for health sciences2025

DEVELOPING A PROTOCOL USING WEARABLE CAMERAS FOR MEMORY TRAINING WITH OLDER ADULTS: A METHODOLOGICAL REPORT.

Tuíla Maciel Felinto, Tory Worth, Erin Welch, Roberto Cabeza

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Tuíla Maciel FelintoUniversidade Federal do Rio Grande do Sul, Avenida Paulo Gama, 110, 90040-060, Porto Alegre, Rio Grande do Sul, Brazil.
Tory WorthDuke University, 308 Research Dr, Durham, NC 27710.
Erin WelchColumbia University, 1180 Amsterdam Ave, New York, NY 10027.
Roberto CabezaDuke University, 308 Research Dr, Durham, NC 27710.

Funding

Training Autobiographical Memory Retrieval in Healthy Older Adults Using Novel Lifelogging TechnologyR21AG059006 · NIA · DUKE UNIVERSITY · PI CABEZA, ROBERTO · 2018 to 2019
$441k
NIA NIH HHS R21 AG059006
6 · The paper itself

Abstract

Although not as pronounced as in Alzheimer's Disease, healthy aging is associated with substantial deficits in memory functions, particularly in episodic and autobiographical memory. Efforts to train these impaired functions are hindered by the lack of transfer of the training effects to other tasks and daily activities and limited by artificial laboratory stimuli. Addressing these limitations, we developed an autobiographical memory training protocol using wearable cameras to record participants' own life events as photos, and laptops to train their memory using these events at home. We tested the feasibility of the protocol in a study with 15 healthy older adults. The results showed that the protocol and set of instructions we designed enabled participants to use the equipment (wearable camera and laptop) successfully at home. In a novel addition, we used automated image processing to protect the privacy of the participants' photos, which are considered Protected Health Information. Older adults' responses to the overall study and camera use was positive, indicating that studies using wearable cameras can be engaging and motivating, and potentially even successful in improving memory. The methods will be the central focus on this paper, and the results will be expanded upon in a subsequent paper.

Indexed as

Autobiographical memorymethodological reportolder adultswearable cameras

Identifiers

PMID41332864
PMCPMC12668120

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.