Evidence map›Paper›PMID 38942761›Full record

ArticleScientific reports2024

A drift diffusion model analysis of age-related impact on multisensory decision-making processes.

Joshua Bolam, Jessica A Diaz, Mark Andrews, Rachel O Coats, Marios G Philiastides, Sarah L Astill, Ioannis Delis

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

7 authors.

Joshua BolamSchool of Biomedical Sciences, University of Leeds, West Yorkshire, LS2 9JT, UK. bolamj@tcd.ie.
Jessica A DiazSchool of Biomedical Sciences, University of Leeds, West Yorkshire, LS2 9JT, UK.
Mark AndrewsSchool of Social Sciences, Nottingham Trent University, Nottinghamshire, NG1 4FQ, UK.
Rachel O CoatsSchool of Psychology, University of Leeds, West Yorkshire, LS2 9JT, UK.
Marios G PhiliastidesSchool of Neuroscience and Psychology, University of Glasgow, Lanarkshire, G12 8QB, UK.
Sarah L AstillSchool of Biomedical Sciences, University of Leeds, West Yorkshire, LS2 9JT, UK.
Ioannis DelisSchool of Biomedical Sciences, University of Leeds, West Yorkshire, LS2 9JT, UK. I.Delis@leeds.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/X017796/1European Commission H2020-MSCA-IF-2018/845884, NeuCoDe
6 · The paper itself

Abstract

Older adults (OAs) are typically slower and/or less accurate in forming perceptual choices relative to younger adults. Despite perceptual deficits, OAs gain from integrating information across senses, yielding multisensory benefits. However, the cognitive processes underlying these seemingly discrepant ageing effects remain unclear. To address this knowledge gap, 212 participants (18-90 years old) performed an online object categorisation paradigm, whereby age-related differences in Reaction Times (RTs) and choice accuracy between audiovisual (AV), visual (V), and auditory (A) conditions could be assessed. Whereas OAs were slower and less accurate across sensory conditions, they exhibited greater RT decreases between AV and V conditions, showing a larger multisensory benefit towards decisional speed. Hierarchical Drift Diffusion Modelling (HDDM) was fitted to participants' behaviour to probe age-related impacts on the latent multisensory decision formation processes. For OAs, HDDM demonstrated slower evidence accumulation rates across sensory conditions coupled with increased response caution for AV trials of higher difficulty. Notably, for trials of lower difficulty we found multisensory benefits in evidence accumulation that increased with age, but not for trials of higher difficulty, in which increased response caution was instead evident. Together, our findings reconcile age-related impacts on multisensory decision-making, indicating greater multisensory evidence accumulation benefits with age underlying enhanced decisional speed.

Indexed as

AgingAuditory PerceptionDecision MakingReaction TimeVisual PerceptionAcoustic StimulationAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPhotic StimulationYoung AdultAgeingAudiovisual object categorisation paradigmHierarchical drift diffusion model(ling) (HDDM)Multisensory decision-makingPerceptual decision-making

Identifiers

PMID38942761
PMCPMC11213863

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.