Evidence map›Paper›PMID 38135907›Full record

ArticleJournal of neuropsychology2024

The guaranteed euros: Probabilistic discounting in behavioural-variant frontotemporal dementia.

Claire Boutoleau-Bretonnière, Dimitrios Kapogiannis, Mohamad El Haj

Abstract read
In one paragraph

Article in Journal of neuropsychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Claire Boutoleau-BretonnièreInserm CIC04, CHU Nantes, Nantes, France.
Dimitrios KapogiannisLaboratory of Clinical Investigation, National Institute on Aging, Baltimore, Maryland, USA.
Mohamad El HajClinical Gerontology Department, CHU Nantes, Nantes, France.ORCID 0000-0001-7635-7557

Funding

Studies in Dementia and Neurodegenerative DiseasesZIAAG000975 · NIA · NATIONAL INSTITUTE ON AGING · PI KAPOGIANNIS, DIMITRIOS · 2009 to 2025
$31.5M
distalz labexIntramural NIH HHS Z99 AG999999Intramural NIH HHS ZIA AG000975NIH HHS
6 · The paper itself

Abstract

Financial decision-making requires trading off between guaranteed and probabilistic outcomes and between immediate and delayed ones. While research has demonstrated that patients with behavioural-variant frontotemporal dementia (bvFTD) prefer immediate rewards at the expense of future ones (i.e. temporal discounting), little is known about how patients choose between smaller, guaranteed and larger, but probabilistic, outcomes (i.e. probabilistic discounting). We thus investigated probabilistic discounting by inviting 18 patients with bvFTD and 20 control participants to choose between fixed smaller monetary amounts and a fixed larger monetary amount with a variated probability of occurrence (e.g. 'Would you rather have 40€ for sure or a 20% chance of winning 100€?'). Results demonstrated lower scores, indicating higher risk tolerance, on the probabilistic discounting task in patients with bvFTD (while impulsively choosing more immediate rewards on the temporal discounting task) compared to control participants. Probabilistic discounting was significantly correlated with a decline in general cognitive performance in patients with bvFTD. When dealing between smaller, guaranteed, and larger, but probabilistic, rewards, patients with bvFTD tend to prefer guaranteed rewards and discount the uncertain ones.

Indexed as

Delay DiscountingFrontotemporal DementiaRewardAgedFemaleHumansImpulsive BehaviorMaleMiddle AgedNeuropsychological TestsProbabilitybehavioural‐variantdecision‐makingfrontotemporal dementiaprobabilistic discountingtemporal discounting

Identifiers

PMID38135907
PMCPMC12120970

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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.