Evidence map›Paper›PMID 41301345›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Time Course of Neural Process of Certain and Uncertain Punishment in Decision Making.

Wenwei Qiu, Huijian Fu, Linanzi Zhang, Qingguo Ma, Lu Cheng

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. 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.

Wenwei QiuCollege of Economics & Management, China Jiliang University, Hangzhou 310018, China.
Huijian FuSchool of Management, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0001-6840-5846
Linanzi ZhangSchool of Business Administration, Guizhou University of Finance and Economics, Guiyang 550025, China.
Qingguo MaInstitute of Neuromanagement Science, Zhejiang University of Technology, Hangzhou 310023, China.
Lu ChengNeuromanagement Lab, Zhejiang University, Hangzhou 310058, China.

Funding

One Belt One Road Regional Standardization Research Center Think Tank Research from China Jiliang University BRZK20COpen Research Fund of the Neuromanagement Lab from Zhejiang University NML20250005Scientific Research Foundation from Hangzhou Dianzi University KYS265624242
6 · The paper itself

Abstract

Little is known about how people evaluate certain and uncertain punishment. This study utilizes EEG technology to explore the cognitive processing mechanisms involved in the threat of punishment within economic game scenarios. Specifically, it investigates the impact of punishment uncertainty, integrating economic game paradigms with electric shock stimuli. FRN, P300, and SPN reflect the attention and readiness of the neural system during the anticipation of punishment. The results showed that the shock cue elicited a larger FRN and P300 than the uncertain cue, while there was no significant difference in SPN, during the anticipation for potential shock. The self-rating indicated that the uncertain cue triggered the most negative effect, and the pain-related P2 revealed that the uncertain cue increased pain perception, implying that uncertain punishment was more threatening than certain punishment. The single-trial analysis of EEG power with the linear mixed-effects model further supports these findings. This study demonstrates that, by strategically manipulating the uncertainty of the punishment, one can achieve a high-threat effect at a lower cost.

Indexed as

electric shockevent-related potentialsuncertain punishment

Identifiers

PMID41301345
PMCPMC12649124

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.