OSCR

Anterior cingulate cortex monitors action state and action content in complex associative learning.

Overview

Authors: Wenqiang Huang1, Arron F Hall1, Natalia Kawalec1,2, Ashley Nicole Opalka1, Jun Liu1, Dong V Wang1
  1. Department of Neurobiology and Anatomy, Drexel University College of Medicine Philadelphia United States
  2. School of Arts and Sciences, University of Pennsylvania Philadelphia United States
Institutions: Drexel University (United States); University of Pennsylvania (United States)
Journal: eLife, volume 14, article RP105774
Dates: published online 10 July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.7554/elife.105774 · PMID 42429368 · PMCID PMC13354293 · OpenAlex W4409035830
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: mouse (organism), cognitive (subfield)
Methods: Connectivity, Statistics, Smoothing, state filtering, decompositions, Machine learning, Preprocessing, fMRI & imaging, Single-unit activity, calcium imaging
Keywords: anterior cingulate cortex, associative learning, action monitoring, discrimination, avoidance, shuttle behavior, Mouse
MeSH: Association Learning*, Gyrus Cinguli*, Neurons*, Animals, Avoidance Learning, Cues, Male, Mice, Mice, Inbred C57BL (* major topic)
Journal subjects: Neuroscience
Topic: Neural and Behavioral Psychology Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: National Institute of Mental Health (R01MH119102, R21MH134016, F31MH134582)
Citations: cited by 2 papers (Europe PMC); 69 references in the paper

Abstract

Environmental changes necessitate adaptive responses, and thus the ability to monitor one’s actions and their connection to specific cues and outcomes is crucial for survival. The anterior cingulate cortex (ACC) is implicated in these processes, yet its precise role in action monitoring vs. outcome tracking remains unclear. To investigate this, we developed a novel discrimination–avoidance task for mice, designed with clear temporal separation between actions and outcomes. Our findings show that ACC neurons primarily encode post-action variables over extended periods, reflecting the animal’s preceding actions rather than the outcomes or values of those actions. Specifically, we identified two distinct subpopulations of ACC neurons: one encoding the action state (whether an action was taken) and the other encoding the action content (which action was taken). Importantly, increased post-action ACC activity was associated with better performance in subsequent trials. These findings suggest that the ACC supports complex associative learning through extended signaling of rich action-relevant information, thereby bridging cue, action, and outcome associations.

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

Code

No file of the authors' code could be read here: it is described below, and read at its source.

figshare 32591976

License: CC-BY-4.0
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Size: 1 file
Software Heritage: not checked
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data availability

Data and code are publicly available at: https://doi.org/10.6084/m9.figshare.32591976.

The following dataset was generated:

HuangW HallAF KawalecN OpalkaAN LiuJ WangDV 2026Anterior cingulate cortex in complex associative learningfigshare10.6084/m9.figshare.32591976PMC1335429342429368

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, pages, dates, 6 authors, 7 keywords, 9 MeSH terms, 1 funder, 69 references.

Cite

This paper

Huang, W., Hall, A. F., Kawalec, N., Opalka, A. N., Liu, J., & Wang, D. V. (2026). Anterior cingulate cortex monitors action state and action content in complex associative learning. eLife, 14, RP105774. https://doi.org/10.7554/elife.105774

BibTeX

@article{huang2026anterior,
author = {Huang, Wenqiang and Hall, Arron F and Kawalec, Natalia and Opalka, Ashley Nicole and Liu, Jun and Wang, Dong V},
title = {{Anterior cingulate cortex monitors action state and action content in complex associative learning}},
journal = {eLife},
year = {2026},
month = jul,
volume = {14},
pages = {RP105774},
publisher = {eLife Sciences Publications, Ltd},
issn = {2050-084X},
doi = {10.7554/elife.105774},
url = {https://doi.org/10.7554/elife.105774},
pmid = {42429368},
pmcid = {PMC13354293}
}

RIS

TY - JOUR
AU - Huang, Wenqiang
AU - Hall, Arron F
AU - Kawalec, Natalia
AU - Opalka, Ashley Nicole
AU - Liu, Jun
AU - Wang, Dong V
TI - Anterior cingulate cortex monitors action state and action content in complex associative learning
T2 - eLife
J2 - Elife
PY - 2026
DA - 2026/07/10
VL - 14
SP - RP105774
SN - 2050-084X
PB - eLife Sciences Publications, Ltd
DO - 10.7554/elife.105774
UR - https://doi.org/10.7554/elife.105774
LA - en
ER -

CSL-JSON

{
"id": "10.7554/elife.105774",
"type": "article-journal",
"title": "Anterior cingulate cortex monitors action state and action content in complex associative learning",
"container-title": "eLife",
"author": [
{
"family": "Huang",
"given": "Wenqiang"
},
{
"family": "Hall",
"given": "Arron F"
},
{
"family": "Kawalec",
"given": "Natalia"
},
{
"family": "Opalka",
"given": "Ashley Nicole"
},
{
"family": "Liu",
"given": "Jun"
},
{
"family": "Wang",
"given": "Dong V"
}
],
"container-title-short": "Elife",
"volume": "14",
"page": "RP105774",
"DOI": "10.7554/elife.105774",
"PMID": "42429368",
"PMCID": "PMC13354293",
"ISSN": "2050-084X",
"publisher": "eLife Sciences Publications, Ltd",
"URL": "https://doi.org/10.7554/elife.105774",
"language": "en",
"issued": {
"date-parts": [
[
2026,
7,
10
]
]
}
}

The tracing map gets a citation of its own once an author has validated it and it has a DOI.

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.21203/rs.3.rs-10419673/v1 [code]
Rapid value learning reveals generalized and context-dependent codes in frontal cortex
Journal: Research Square (preprint)
In common: 6 references
[2] doi:10.7554/elife.106032 [code]
Neural signatures of model-based and model-free reinforcement learning across prefrontal cortex and striatum.
Journal: eLife
In common: cognitive, 6 references
[3] doi:10.7554/elife.109717 [code]
Retrosplenial cortex enables context-dependent goal-directed sensorimotor transformation.
Journal: eLife
In common: mouse, 5 references
[4] doi:10.1038/s41467-026-75987-6 [code]
Neural and computational mechanisms of effort under the pressure of a deadline.
Journal: Nature communications
In common: cognitive, 4 references
[5] doi:10.1093/cercor/bhag062 [code]
Dynamic representations of valence in anterior cingulate cortex in mice.
Journal: Cerebral cortex (New York, N.Y. : 1991)
In common: mouse, 3 references
[6] doi:10.1126/sciadv.adv5652 [code]
The anterior cingulate cortex modulates pupil-linked arousal.
Journal: Science advances
In common: 4 references
[7] doi:10.1038/s41467-026-71574-x
CB1 receptor signaling at the cingulate-striatal circuit is anxiogenic.
Journal: Nature communications
In common: mouse, 3 references
[8] doi:10.1162/imag.a.1363 [code]
Social approach-avoidance conflict: Behavioural, emotional, and neural correlates along a depression-social anxiety spectrum.
Journal: Imaging neuroscience (Cambridge, Mass.)
In common: cognitive, 3 references
[9] doi:10.1371/journal.pbio.3003829 [code]
Identity-specific reward expectations in orbitofrontal cortex guide goal-directed choices.
Journal: PLoS biology
In common: cognitive, 3 references
[10] doi:10.1111/ejn.70641
Distinct High-Gamma Signals in Primate Prefrontal Cortex Differentiate Cue Information, Preference Revision, and Expected Reward During Value-Based Decisions.
Journal: The European journal of neuroscience
In common: cognitive, 3 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.

Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.