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Neural Correlates of Explicit Outcome Expectation Effects: An Activation Likelihood Estimation Meta-Analysis.

Overview

Authors: Junnan Zhou1,2, Yiyang Xu2, Tieyan Li2, Xingyue Yang1
ORCID iDs: Junnan Zhou
  1. College of Acupuncture‐Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
  2. Graduate School, Beijing University of Chinese Medicine, Beijing, China
Journal: Human brain mapping, volume 47, issue 10, article e70594
Dates: received 26 October 2025; accepted 17 June 2026; published online 2 July 2026; in print July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1002/hbm.70594 · PMID 42394140 · PMCID PMC13328837 · OpenAlex W7167261522
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: PET / SPECT (modality), human (organism), clinical / translational (subfield)
Methods: Statistics, fMRI & imaging
Keywords: activation likelihood estimation, brain imaging, explicit outcome expectation effects, meta‐analysis
MeSH: Brain*, Brain Mapping*, Humans, Likelihood Functions, Magnetic Resonance Imaging, Outcome Expectations, Positron-Emission Tomography (* major topic)
Topic: Neural and Behavioral Psychology Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: National Natural Science Foundation of China (81904063)
Citations: not cited yet (Europe PMC); 58 references in the paper

Abstract

To investigate the characteristics of brain region activation associated with explicit outcome expectation effects in treatment contexts, and to identify core brain regions consistently involved across diverse experimental paradigms. A systematic search was conducted for studies published from January 1, 2014, to December 31, 2025. Functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) studies investigating treatment expectation effects were included. In neuroimaging paradigms, these effects are commonly induced through explicit outcome expectations via verbal instructions or contextual cues. Risk of bias was assessed using the ROB 2.0 and ROBINS‐I tools. Activation likelihood estimation (ALE) meta‐analysis was performed using GingerALE 3.0.2 based on whole‐brain activation coordinates. Results were visualized using Mango software. Sensitivity analyses were performed by excluding the study with the highest risk of bias and using a leave‐one‐study‐out approach. Additionally, a qualitative synthesis of activation foci was conducted across four domains to address paradigm heterogeneity. A total of 21 articles with 855 subjects were included in this study, consisting of 17 randomized controlled trials and 4 non‐randomized studies. The risk of bias assessment indicated that only five RCTs were rated as low risk, while approximately three‐quarters of studies showed some concerns or high risk. Most studies modulated expectations through interventions such as verbal instruction and pain stimulation. Convergent neuroimaging studies implicated the insula, frontal lobe, striatum, and additional relevant brain regions. The ALE meta‐analysis identified two significant activation clusters located in the caudate nucleus/lentiform nucleus and the red nucleus. Sensitivity analyses indicated that the majority of findings remained stable. Qualitative domain‐based synthesis further revealed consistent striatal activation across all domains, together with distinct domain‐specific activation patterns. The findings of this study suggest that explicit outcome expectation effects, as a core operationalized component of treatment expectation, do not rely on a single brain region but emerge from distributed and dynamically interacting neural systems that depend on reward expectation and information integration. The coordinated activity of multiple brain regions collectively supports the generation of explicit outcome expectations. The striatum serves as a shared core substrate across different expectancy domains, while domain‐specific activation reflects functional specialization for distinct contexts. These findings provide important evidence for elucidating the neural correlates of explicit outcome expectation effects and establish a foundation for further brain mechanism‐based intervention strategies.

Trial Registration: PROSPERO: CRD420251074894

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

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Data

Datasets cited

  • osf:eazkw — at OSF; found in the text, “Open Access and Declarations”

Data Availability Statement

Partial data supporting the findings of this study are available in the Supporting Information. The remaining data are available from the corresponding author upon reasonable request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 4 keywords, 7 MeSH terms, 1 funder, 58 references.

Cite

This paper

Zhou, J., Xu, Y., Li, T., & Yang, X. (2026). Neural Correlates of Explicit Outcome Expectation Effects: An Activation Likelihood Estimation Meta-Analysis. Human brain mapping, 47(10), e70594. https://doi.org/10.1002/hbm.70594

BibTeX

@article{zhou2026neural,
author = {Zhou, Junnan and Xu, Yiyang and Li, Tieyan and Yang, Xingyue},
title = {{Neural Correlates of Explicit Outcome Expectation Effects: An Activation Likelihood Estimation Meta-Analysis}},
journal = {Human brain mapping},
year = {2026},
month = jul,
volume = {47},
number = {10},
pages = {e70594},
publisher = {Wiley},
issn = {1065-9471},
doi = {10.1002/hbm.70594},
url = {https://doi.org/10.1002/hbm.70594},
pmid = {42394140},
pmcid = {PMC13328837}
}

RIS

TY - JOUR
AU - Zhou, Junnan
AU - Xu, Yiyang
AU - Li, Tieyan
AU - Yang, Xingyue
TI - Neural Correlates of Explicit Outcome Expectation Effects: An Activation Likelihood Estimation Meta-Analysis
T2 - Human brain mapping
J2 - Hum Brain Mapp
PY - 2026
DA - 2026/07/01
VL - 47
IS - 10
SP - e70594
SN - 1065-9471
PB - Wiley
DO - 10.1002/hbm.70594
UR - https://doi.org/10.1002/hbm.70594
LA - en
ER -

CSL-JSON

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