OSCR

The contribution of the koniocellular visual pathway to aversive learning in human visual cortex.

Code ↔ Paper

The paper beside its authors' code: matches between them have not been computed for this paper yet.

Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

The paper is loaded when this pane is shown.

The authors' code

MATLAB · 60 lines · 1.7 KB · no license

  2. cd '/Users/katemccain/Documents/Konio/single_sub_hilbert'
  3. clear
  5. filemat = getfilesindir(pwd, '*hamp8');
  7. filemat21 = filemat(1:4:end,:);
  8. filemat22 = filemat(2:4:end,:);
  9. filemat23 = filemat(3:4:end,:);
  10. filemat24 = filemat(4:4:end,:);
  12. % luminance stimuli
  13. % use topottest function to make 3d arrays: elec by time point by subject
  14. [~, mat3d_1, mat3d_2] = topottest(filemat22, filemat21, [], [], 0);
  16. BFmap_lumi = nan(size(mat3d_1,1), size(mat3d_1,2));
  18. [effect_dist_bootstrap, nullperm_dist_bootstrap] = bootstrap_diffs(mat3d_1,mat3d_2);
  20. for elec = 1:size(mat3d_1,1)
  21. for timepoint = 1:size(mat3d_1,2)
  22. BFmap_lumi(elec, timepoint) = bootstrap2BF_z(squeeze(effect_dist_bootstrap(elec,timepoint,:)),squeeze(nullperm_dist_bootstrap(elec,timepoint,:)), 0);
  23. end
  24. disp('elec: '), fprintf(num2str(elec))
  25. end
  27. %
  28. % % konio stimuli
  29. % % use topottest function to make 3d arrays: elec by time point by subject
  30. %
  31. % [~, mat3d_1, mat3d_2] = topottest(filemat24, filemat23, [], [], 0);
  32. %
  33. % BFmap_konio = nan(size(mat3d_1,1), size(mat3d_1,2));
  34. %
  35. % [effect_dist_bootstrap, nullperm_dist_bootstrap] = bootstrap_diffs(mat3d_1,mat3d_2);
  36. %
  37. % for elec = 1:size(mat3d_1,1)
  38. % for timepoint = 1:size(mat3d_1,2)
  39. % BFmap_konio(elec, timepoint) = bootstrap2BF_z(squeeze(effect_dist_bootstrap(elec,timepoint,:)),squeeze(nullperm_dist_bootstrap(elec,timepoint,:)), 0);
  40. % end
  41. % disp('elec: '), fprintf(num2str(elec))
  42. % end
  44. % BFmap_konio and BFmap_Lumi converted to log10
  46. %BFmap_lumiLog10 = log10(BFmap_lumi);
  48. %BFmap_konioLog10 = log10(BFmap_konio);
  50. %SaveAvgFile('BFmap_lumiLog10.at', BFmap_lumiLog10, [], [], 500, [], [], [], [], 301);
  52. %SaveAvgFile('BFmap_konioLog10.at', BFmap_konioLog10, [], [], 500, [], [], [], [], 301);

KonioBayesfactors.m, no license · at the source

Overview

Authors: Katherine J McCain1, Nathan M Petro2, Andreas Keil1
ORCID iDs: Katherine J McCain
  1. Department of Psychology, University of Florida, Gainesville, Florida, United States
  2. Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, Nebraska, United States
Institutions: University of Florida (United States); Boys Town National Research Hospital (United States)
Journal: Journal of neurophysiology, volume 135, issue 6, pages 1529-1539
Dates: published online 11 May 2026; in print 1 June 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1152/jn.00288.2025 · PMID 42113563 · PMCID PMC13480465 · OpenAlex W7160873216
Open access: hybrid, a free copy (OpenAlex)
Status: code verified
Categories: EEG (modality), human (organism)
Methods: Spectral & time-frequency, Statistics, Preprocessing, Physiology & signal measures
Keywords: differential aversive conditioning, koniocellular visual pathway, luminance channels, ssVEP
MeSH: Avoidance Learning*, Conditioning, Classical*, Visual Cortex*, Visual Pathways*, Adult, Cues, Electroencephalography, Evoked Potentials, Visual, Female, Humans, Male, Photic Stimulation, Young Adult (* major topic)
Topic: Visual perception and processing mechanisms (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: HHS | NIH | National Institute of Mental Health (NIMH) (R01MH125615); NIMH NIH HHS (R01 MH125615)
Citations: not cited yet (Europe PMC); 81 references in the paper

Abstract

The present study examined the extent to which koniocellular inputs to the visual cortex are sensitive to aversive conditioning, as indexed by electrocortical activation modulated by conditioned threat. A simple differential aversive conditioning task was used to evoke visuocortical activation in response to conditioned threat (CS+) and safety (CS−) cues in each condition (tritan and luminance). The tritanopic technique was used to convey cues to S-cones that transmit color-opponent signals to regions along the koniocellular visual pathway (tritan condition). In addition, a luminance condition was included to examine visuocortical activation in response to achromatic cues that preferentially activate luminance channels (luminance condition). Steady-state visual evoked potential (ssVEP) responses to conditioned threat and safety cues were analyzed in each condition (luminance and tritan) using a nonparametric Bayesian bootstrap approach. Results showed decisive evidence (logarithmic Bayes factors, logBF10 > 2) of aversive learning in the tritan and luminance conditions, indicated by increased ssVEP envelope amplitudes in response to the CS+ compared to the CS− stimuli in occipital sensors. To further examine the koniocellular involvement in aversive learning, transitive Bayes factors were computed to compare the relative magnitude of the conditioning effects across conditions. Although transitive Bayesian comparisons showed decisive evidence indicating the magnitude of the luminance conditioning effect was larger than the tritan conditioning effect, differences in adaptation across conditions warrant further investigation. Importantly, the present study demonstrated that both koniocellular and luminance channel inputs were modulated by aversive conditioning in the human visual cortex.

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

Repository

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

OSF yue78

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Languages: MATLAB (4)
Size: 157 files, 4 scripts
Software Heritage: not checked
Found in: the text, “Electroencephalography”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: EEGLAB (1 file)
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
  • 28 September 2026: the link answers (HTTP 200)
4 files
At the source: osf.io/yue78/

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;
  • 4 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

Source data for this study are openly available at https://osf.io/yue78/overview. Source data includes, all preprocessed electrophysiological data, pupil data, and limited demographic data. Data processing code and analysis code are also openly accessible at https://osf.io/yue78/overview.

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 2, 28 September 2026

  • Publisher: n/a → American Physiological Society

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 4 keywords, 13 MeSH terms, 2 funders, 77 references.

Cite

This paper

McCain, K. J., Petro, N. M., & Keil, A. (2026). The contribution of the koniocellular visual pathway to aversive learning in human visual cortex. Journal of neurophysiology, 135(6), 1529-1539. https://doi.org/10.1152/jn.00288.2025

BibTeX

@article{mccain2026contribution,
author = {McCain, Katherine J and Petro, Nathan M and Keil, Andreas},
title = {{The contribution of the koniocellular visual pathway to aversive learning in human visual cortex}},
journal = {Journal of neurophysiology},
year = {2026},
month = may,
volume = {135},
number = {6},
pages = {1529--1539},
publisher = {American Physiological Society},
issn = {0022-3077},
doi = {10.1152/jn.00288.2025},
url = {https://doi.org/10.1152/jn.00288.2025},
pmid = {42113563},
pmcid = {PMC13480465}
}

RIS

TY - JOUR
AU - McCain, Katherine J
AU - Petro, Nathan M
AU - Keil, Andreas
TI - The contribution of the koniocellular visual pathway to aversive learning in human visual cortex
T2 - Journal of neurophysiology
J2 - J Neurophysiol
PY - 2026
DA - 2026/05/11
VL - 135
IS - 6
SP - 1529
EP - 1539
SN - 0022-3077
PB - American Physiological Society
DO - 10.1152/jn.00288.2025
UR - https://doi.org/10.1152/jn.00288.2025
LA - en
ER -

CSL-JSON

{
"id": "10.1152/jn.00288.2025",
"type": "article-journal",
"title": "The contribution of the koniocellular visual pathway to aversive learning in human visual cortex",
"container-title": "Journal of neurophysiology",
"author": [
{
"family": "McCain",
"given": "Katherine J"
},
{
"family": "Petro",
"given": "Nathan M"
},
{
"family": "Keil",
"given": "Andreas"
}
],
"container-title-short": "J Neurophysiol",
"volume": "135",
"issue": "6",
"page": "1529-1539",
"DOI": "10.1152/jn.00288.2025",
"PMID": "42113563",
"PMCID": "PMC13480465",
"ISSN": "0022-3077",
"publisher": "American Physiological Society",
"URL": "https://doi.org/10.1152/jn.00288.2025",
"language": "en",
"issued": {
"date-parts": [
[
2026,
5,
11
]
]
}
}

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:10.1038/s41598-026-45966-4 [code]
Changes in visuocortical engagement and oscillatory brain activity during associative learning.
Journal: Scientific reports
In common: EEG, 5 references
[2] doi:10.1126/sciadv.aec6658 [code]
A unifying principle of chromatic coding across biological and artificial systems.
Journal: Science advances
In common: 6 references
[3] doi:10.1016/j.isci.2026.117436 [code]
An auditory "low road" for threat processing in humans sensitive to fast temporal cues.
Journal: iScience
In common: EEGLAB, 4 references
[4] doi:10.1007/s00429-026-03109-5
Receptor architecture of the macaque lateral geniculate nucleus.
Journal: Brain structure & function
In common: 4 references
[5] doi:10.1038/s41597-026-07215-1 [code]
The Brain, Body, and Behavior Dataset (BBBD): Multimodal Recordings during Educational Videos.
Journal: Scientific data
In common: EEGLAB, EEG, 2 references
[6] doi:10.1111/ejn.70670 [code]
Cross-Night Modulation of Change Detection ERPs to Foreign Speech Sound Features During N2 Sleep.
Journal: The European journal of neuroscience
In common: EEGLAB, EEG, 2 references
[7] doi:10.1111/psyp.70370 [code]
Song Familiarity Relies on Evidence Accumulation.
Journal: Psychophysiology
In common: EEGLAB, EEG, 2 references
[8] doi:10.1093/sleepadvances/zpag069 [code]
Thalamic transcranial electrical stimulation with temporal interference enhances sleep spindle activity during a daytime nap.
Journal: Sleep advances : a journal of the Sleep Research Society
In common: EEGLAB, EEG, 2 references
[9] doi:10.7554/elife.107088 [code]
Development of auditory and spontaneous movement responses to music over the first postnatal year.
Journal: eLife
In common: EEGLAB, EEG, 2 references
[10] doi:10.1111/ejn.70569 [code]
Quantifying the Influence of Lexical Surprisal on Acoustic Speech Encoding While Controlling for Within-Speaker Variability.
Journal: The European journal of neuroscience
In common: EEGLAB, EEG, 2 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.