Evidence map›Paper›PMID 42262563›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2026

Affective forecasting in people with autistic traits, social anhedonia, and subthreshold depression: a multi-method study.

Yan Gao, Yi Wang, Yihang Huang, Chao Yan, Jia Huang, Keying Wang, Zhaotong Yao, Simon S Y Lui, Tianxiao Yang, Raymond C K Chan

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In one paragraph

Article in European archives of psychiatry and clinical 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

10 authors.

Yan GaoNeuropsychology and Applied Cognitive Neuroscience Laboratory, State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Yi WangNeuropsychology and Applied Cognitive Neuroscience Laboratory, State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Yihang HuangNeuropsychology and Applied Cognitive Neuroscience Laboratory, State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Chao YanKey Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
Jia HuangNeuropsychology and Applied Cognitive Neuroscience Laboratory, State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Keying WangNeuropsychology and Applied Cognitive Neuroscience Laboratory, State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Zhaotong YaoNeuropsychology and Applied Cognitive Neuroscience Laboratory, State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Simon S Y LuiDepartment of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Tianxiao YangNeuropsychology and Applied Cognitive Neuroscience Laboratory, State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China. yangtx@psych.ac.cn.ORCID http://orcid.org/0000-0002-5359-0820
Raymond C K ChanNeuropsychology and Applied Cognitive Neuroscience Laboratory, State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China. rckchan@psych.ac.cn.

Funding

the Natural Science Foundation of China 32430042the Philip K. H. Wong Foundation the Philip K. H. Wong Foundationthe Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences E2CX3415CXthe STI2030-Major Projects 2021ZD0200800
6 · The paper itself

Abstract

The ability to predict future emotions for upcoming events (affective forecasting, AF) is crucial for mental health. This study compared the distinct and shared characteristics of AF in participants with high levels of autistic traits (AT, n = 76), social anhedonia (SA, n = 107), subthreshold depression (SD, n = 102), and 99 controls. Participants completed the laboratory-based and real-life AF tasks, and resting-state functional magnetic resonance imaging. Compared with controls, the AT group reported fewer mental simulation details in the laboratory-based task, and the SA group displayed less anticipated pleasure and fewer mental simulation details in both laboratory-based and real-life AF tasks, whereas the SD group showed relatively intact AF. The three subclinical groups showed larger AF bias than controls. Moreover, the three subclinical groups showed altered functional connectivity (FC) compared with controls, and the altered FC was associated with laboratory-based and real-life AF performance. These findings advance our understanding of early identification and prevention strategies of transdiagnostic populations.

Indexed as

AnhedoniaAnticipation, PsychologicalAutistic DisorderBrainDepressionAdultFemaleForecastingHumansMagnetic Resonance ImagingMaleYoung AdultAffective forecastingAutistic traitsDefault mode networkSocial anhedoniaSubthreshold depression

Identifiers

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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.