Evidence map›Paper›PMID 28904100›Full record

ArticleJournal of neurophysiology2017

Influence of biases in numerical magnitude allocation on human prosocial decision making.

Qadeer Arshad, Yuliya Nigmatullina, Shuaib Siddiqui, Mustafa Franka, Saniya Mediratta, Sanjeev Ramachandaran, Rhannon Lobo, Paresh A Malhotra, R E Roberts, Adolfo M Bronstein

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

10 authors.

Qadeer ArshadDivision of Brain Sciences, Charing Cross Hospital Campus, Imperial College London, Fulham, London, United Kingdom q.arshad@imperial.ac.uk.
Yuliya NigmatullinaDivision of Brain Sciences, Charing Cross Hospital Campus, Imperial College London, Fulham, London, United Kingdom.
Shuaib SiddiquiDivision of Brain Sciences, Charing Cross Hospital Campus, Imperial College London, Fulham, London, United Kingdom.
Mustafa FrankaDivision of Brain Sciences, Charing Cross Hospital Campus, Imperial College London, Fulham, London, United Kingdom.
Saniya MedirattaDivision of Brain Sciences, Charing Cross Hospital Campus, Imperial College London, Fulham, London, United Kingdom.
Sanjeev RamachandaranDivision of Brain Sciences, Charing Cross Hospital Campus, Imperial College London, Fulham, London, United Kingdom.
Rhannon LoboDivision of Brain Sciences, Charing Cross Hospital Campus, Imperial College London, Fulham, London, United Kingdom.
Paresh A MalhotraDivision of Brain Sciences, Charing Cross Hospital Campus, Imperial College London, Fulham, London, United Kingdom.
R E RobertsDivision of Brain Sciences, Charing Cross Hospital Campus, Imperial College London, Fulham, London, United Kingdom.
Adolfo M BronsteinDivision of Brain Sciences, Charing Cross Hospital Campus, Imperial College London, Fulham, London, United Kingdom.

Funding

Medical Research Council MR/J004685/1
6 · The paper itself

Abstract

Over the past decade neuroscientific research has attempted to probe the neurobiological underpinnings of human prosocial decision making. Such research has almost ubiquitously employed tasks such as the dictator game or similar variations (i.e., ultimatum game). Considering the explicit numerical nature of such tasks, it is surprising that the influence of numerical cognition on decision making during task performance remains unknown. While performing these tasks, participants typically tend to anchor on a 50:50 split that necessitates an explicit numerical judgement (i.e., number-pair bisection). Accordingly, we hypothesize that the decision-making process during the dictator game recruits overlapping cognitive processes to those known to be engaged during number-pair bisection. We observed that biases in numerical magnitude allocation correlated with the formulation of decisions during the dictator game. That is, intrinsic biases toward smaller numerical magnitudes were associated with the formulation of less favorable decisions, whereas biases toward larger magnitudes were associated with more favorable choices. We proceeded to corroborate this relationship by subliminally and systematically inducing biases in numerical magnitude toward either higher or lower numbers using a visuo-vestibular stimulation paradigm. Such subliminal alterations in numerical magnitude allocation led to proportional and corresponding changes to an individual's decision making during the dictator game. Critically, no relationship was observed between neither intrinsic nor induced biases in numerical magnitude on decision making when assessed using a nonnumerical-based prosocial questionnaire. Our findings demonstrate numerical influences on decisions formulated during the dictator game and highlight the necessity to control for confounds associated with numerical cognition in human decision-making paradigms.

Indexed as

AltruismAdolescentAdultBiasDecision MakingFemaleHumansMaledecision makingdictator gamenumerical magnitude allocationvestibular cognition

Identifiers

PMID28904100
PMCPMC5712664

What OpenQuestion holds

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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.