Evidence map›Paper›PMID 30903003›Full record

ArticleScientific reports2019

Predicting the behavioural tendency of loss aversion.

Jianmin Zeng, Yujiao Wang, Jing Zeng, Zhipeng Cao, Hong Chen, Yijun Liu, Qinglin Zhang, Li Su

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
  2. The neural dynamics of loss aversion.Imaging neuroscience (Cambridge, Mass.) · 2023
    Article
  3. Article
  4. 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

8 authors.

Jianmin ZengSino-Britain Centre for Cognition and Ageing Research, Faculty of Psychology, Southwest University, Chongqing, China.
Yujiao WangDepartment of Education Science, Liupanshui Normal University, Liupanshui, Guizhou, China.
Jing ZengSino-Britain Centre for Cognition and Ageing Research, Faculty of Psychology, Southwest University, Chongqing, China.
Zhipeng CaoSino-Britain Centre for Cognition and Ageing Research, Faculty of Psychology, Southwest University, Chongqing, China.
Hong ChenSino-Britain Centre for Cognition and Ageing Research, Faculty of Psychology, Southwest University, Chongqing, China. chenhg@swu.edu.cn.
Yijun LiuSino-Britain Centre for Cognition and Ageing Research, Faculty of Psychology, Southwest University, Chongqing, China.
Qinglin ZhangSino-Britain Centre for Cognition and Ageing Research, Faculty of Psychology, Southwest University, Chongqing, China. james_psych@yeah.net.
Li SuSino-Britain Centre for Cognition and Ageing Research, Faculty of Psychology, Southwest University, Chongqing, China. ls514@cam.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loss aversion manifests itself in rejecting a gamble of gaining or losing the same amount of money with equal chance. Although loss aversion is a well-known and intensively studied phenomenon, whether individual differences in behavioural loss aversion can be predicted using scalp potentials (EEG) remains unclear. The current study measured scalp potential when subjects played a series of fair coin-toss games in three situations (high, medium and low loss conditions). We found that most people chose to bet in the low loss condition and avoided to bet in the high loss condition. However, their betting behaviour in the medium loss condition was variable, reflecting their different behavioural tendency of loss aversion. We found that late positive complex (LPC) significantly increased when subjects accepted gambles in the low loss condition (implying potential loss), relative to when they rejected gambles in the high loss condition (implying no gain and no loss), which is consistent with the previous finding that emotional stimuli can induce enhanced LPC. We further found that the difference in the scalp potentials from the above two conditions could predict behavioural tendency of loss aversion in the medium loss condition across subjects. This result demonstrated how behavioural tendency in a situation can be predicted using EEG from other situations.

Indexed as

BrainChoice BehaviorDecision MakingElectroencephalographyElectrooculographyEye MovementsFemaleGamblingHumansMalePhotic StimulationProbabilityReaction TimeScalpYoung Adult

Identifiers

PMID30903003
PMCPMC6430803

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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.