Evidence map›Paper›PMID 42090471›Full record

ArticleSocial cognitive and affective neuroscience2026

Time and amount attributes exert distinct neural influences on gain and loss evaluation.

Ya Zheng, Chenlu Guan, Puyu Shi

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2026. 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

3 authors.

Ya ZhengDepartment of Psychology, Guangzhou University, Guangzhou 510006, China.ORCID 0000-0002-7469-5955
Chenlu GuanDepartment of Psychology, Dalian Medical University, Dalian 116044, China.
Puyu ShiDepartment of Psychology, Dalian Medical University, Dalian 116044, China.

Funding

2024 Tertiary Education Scientific Research Project of Guangzhou Municipal Education Bureau 2024312195National Natural Science Foundation of China 31971027National Natural Science Foundation of China 32571255
6 · The paper itself

Abstract

People typically discount delayed gains more than delayed losses, reflecting a gain-loss asymmetry. This event-related potential study examined how neural representations of amount and time, two prominent attributes in delay discounting, are influenced by contextual valence (gains vs. losses) through the lens of neural dynamics. Forty participants performed a simple guessing task in which they experienced a gain context with varying reward amounts delivered at different time delays, and a loss context with varying loss amounts delivered similarly. Time and amount attributes were manipulated orthogonally and parametrically. Results showed that in the gain context, time attribute was first tracked during the reward positivity period, then integrated with linearly increasing monetary value during the P3 period, and finally processed independently from monetary value during the late positive potential period. In the loss context, time was similarly processed during the RewP period, whereas monetary value was not tracked until the late positive potential period. Additionally, a correlation between behavioral and neural delay discounting was found in the loss but not gain context. Our findings demonstrate distinct evaluative processes for time and amount attributes between gain and loss contexts, providing new insights into the gain-loss asymmetry in delay discounting.

Indexed as

BrainDelay DiscountingEvoked PotentialsRewardAdultBrain MappingElectroencephalographyFemaleHumansMaleTime FactorsYoung Adultamountdelay discountingERPsgain–loss asymmetrytime

Identifiers

PMID42090471
PMCPMC13200790

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.