Evidence map›Paper›PMID 42099715›Full record

ReviewFrontiers in psychology2026

Scoping review of episodic future thinking and delay discounting observed in Alzheimer's disease, depression, and PTSD.

Jalyn R Dubois, Esther Kim, Jennifer Pando-Bravo, Laura E Martin, Richard Yi

Abstract readReview
In one paragraph

Review in Frontiers in psychology, 2026. 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

5 authors.

Jalyn R DuboisCofrin Logan Center, University of Kansas, Lawrence, KS, United States.
Esther KimCofrin Logan Center, University of Kansas, Lawrence, KS, United States.
Jennifer Pando-BravoCofrin Logan Center, University of Kansas, Lawrence, KS, United States.
Laura E MartinThe University of Kansas Medical Center, Kansas City, KS, United States.
Richard YiCofrin Logan Center, University of Kansas, Lawrence, KS, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delay discounting (DD), the decrease in the subjective value of a reward as its receipt is delayed, is associated with a variety of risky health behaviors. Episodic Future Thinking (EFT), the capacity to imagine events that might occur in the future, is understood as a reliable intervention in reducing DD. While populations known to exhibit heightened DD rates may benefit from EFT-based interventions, impaired capacity for EFT may reduce their effectiveness. This scoping review examines the available evidence regarding the co-occurrence of steep DD rates and impoverished EFT across Alzheimer's disease (AD), post-traumatic stress disorder (PTSD), and depression to inform the transdiagnostic potential of EFT-based interventions. Searching and screening of articles were conducted on PsycINFO, PubMed, and Medline in February of 2025 following PRISMA guidelines. Across all disorders, clinical populations exhibited steeper DD rates, as well as impaired EFT characterized by marked reductions in specificity, detail, and novelty of the imagery. Cross-disorder comparisons highlighted reduced memory specificity impacting future simulation and physiological abnormalities in the hippocampus and vmPFC as potentially shared mechanisms in DD and EFT deficits. Despite a consistent pattern of steep DD and impoverished EFT occurring in each population and potentially influenced by similar mechanisms, the lack of studies examining DD and EFT in the same sample limits our conclusion and highlights where further research is warranted.

Indexed as

Alzheimer’s diseasedelay discounting (DD)depressionepisodic future thinkingpost-traumatic stress disorder

Identifiers

PMID42099715
PMCPMC13143876

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Registered trials

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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.