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Resolving temporal threat uncertainty by observational learning involves the amygdala, hippocampus and anterior insula.

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Paper

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The authors' code

MATLAB · 21 lines · 455 B · no license

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Overview

Authors: Simon Knobloch1, Theresa Jansen1, Lara Caroline Hille1, Madeleine Müller1,2, Leonie Rumpf1, Christian Francis Lewis Bauer1, Jan Haaker1
  1. Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
  2. Department of General Psychology and Cognitive Neuroscience, Charlotte Fresenius University, 20148 Hamburg, Germany
Journal: Translational psychiatry, volume 16, issue 1, article 488
Dates: received 24 January 2026; accepted 16 September 2026; published online 26 September 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41398-026-04492-7 · PMID 42800807 · PMCID PMC13615975 · OpenAlex W7214491332
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: human (organism), cognitive (subfield)
Methods: Statistics, Preprocessing, fMRI & imaging, Smoothing, state filtering, decompositions
Keywords: Neuroscience, Learning and memory
MeSH: Amygdala*, Fear*, Hippocampus*, Insular Cortex*, Learning*, Adult, Brain Mapping, Cues, Female, Humans, Magnetic Resonance Imaging, Male, Uncertainty, Young Adult (* major topic)
Topic: Memory and Neural Mechanisms (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Deutsche Forschungsgemeinschaft (German Research Foundation) (Project-ID: 449640848 Project A02, Project-ID 422744262 - TRR 289 Project A18, Project-ID: 461947532)
Citations: not cited yet (Europe PMC); 47 references in the paper
Research resources: Spike2 software RRID:SCR_000903, RRID:SCR_001476, Matlab 2023b RRID:SCR_001622, SPM25 RRID:SCR_007037, RRID:SCR_013273, GPower 3.1.9.7 RRID:SCR_013726, RRID:SCR_015823

Abstract

By observing others’ experiences, humans learn about threats while avoiding firsthand dangers. Yet, previous neuroscience research has focused on observational threats that are predictable. In firsthand learning, temporally predictable and unpredictable threats can be mechanistically discerned. In this study, we developed a novel observational paradigm in which participants learned from predictable and unpredictable observational threats, as well as a no-threat condition. Participants encountered the same conditions during an expression phase to investigate how the brain encodes predictive and unpredictive threat cues observed in others. Participants in Experiment 1 (n = 20, 14 female, 6 male) and Experiment 2 (n = 23, 9 female, 1 non-binary, 13 male) successfully learned threat contingencies, showing heightened threat expectations for predictive cues and unpredictable condition-onsets. Behavioral findings converged with neural (fMRI, Experiment 2) responses in the anterior insula during the expression phase. Reflecting the dynamic process of learning, amygdala activation in response to predictive threat cues displayed a linear decrease across trials. Interestingly, BOLD responses to others’ pain that was predictable, were enhanced within the amygdala, insula and hippocampus, compared to unpredictable conditions. Our findings suggest that humans can learn to resolve temporal threat uncertainty, through the observation of others. The present work thereby contributes to understanding the social aspects of fear and anxiety disorders.

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

Repositories

Its files are read in the Code ↔ Paper reader above.

OSF 653pr

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Languages: MATLAB (11)
Size: 14 files, 11 scripts
Software Heritage: not checked
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: SPM (6 files)
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
  • 28 September 2026: the link answers (HTTP 200)
11 files, to read at the source

This repository has no license: its authors keep all rights. Read it at the source.

At the source: osf.io/653pr/

OSF 5ny9u

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Size: 0 files, 0 scripts
Software Heritage: not checked
Found in: the references
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
  • 28 September 2026: the link answers (HTTP 200)
At the source:

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:

  • 2 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 11 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
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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

Raw behavioral data from both experiments and code from the fMRI analysis is available in this online repository: https://osf.io/653pr/. Wholebrain t-maps for all reported contrasts can be found in a neurovault online repository: https://identifiers.org/neurovault.collection:23814.

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

Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 2 keywords, 14 MeSH terms, 1 funder, 45 references, 7 RRIDs.

Cite

This paper

Knobloch, S., Jansen, T., Hille, L. C., Müller, M., Rumpf, L., Bauer, C. F. L., & Haaker, J. (2026). Resolving temporal threat uncertainty by observational learning involves the amygdala, hippocampus and anterior insula. Translational psychiatry, 16(1), 488. https://doi.org/10.1038/s41398-026-04492-7

BibTeX

@article{knobloch2026resolving,
author = {Knobloch, Simon and Jansen, Theresa and Hille, Lara Caroline and Müller, Madeleine and Rumpf, Leonie and Bauer, Christian Francis Lewis and Haaker, Jan},
title = {{Resolving temporal threat uncertainty by observational learning involves the amygdala, hippocampus and anterior insula}},
journal = {Translational psychiatry},
year = {2026},
month = sep,
volume = {16},
number = {1},
pages = {488},
publisher = {Nature Publishing Group},
issn = {2158-3188},
doi = {10.1038/s41398-026-04492-7},
url = {https://doi.org/10.1038/s41398-026-04492-7},
pmid = {42800807},
pmcid = {PMC13615975}
}

RIS

TY - JOUR
AU - Knobloch, Simon
AU - Jansen, Theresa
AU - Hille, Lara Caroline
AU - Müller, Madeleine
AU - Rumpf, Leonie
AU - Bauer, Christian Francis Lewis
AU - Haaker, Jan
TI - Resolving temporal threat uncertainty by observational learning involves the amygdala, hippocampus and anterior insula
T2 - Translational psychiatry
J2 - Transl Psychiatry
PY - 2026
DA - 2026/09/26
VL - 16
IS - 1
SP - 488
SN - 2158-3188
PB - Nature Publishing Group
DO - 10.1038/s41398-026-04492-7
UR - https://doi.org/10.1038/s41398-026-04492-7
LA - en
ER -

CSL-JSON

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