The Brain Response to Reflectional Symmetry Is Not Uniquely Preattentive.
Paper
Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC
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The authors' code
MATLAB · 144 lines · 3.1 KB · no license
- clear all
- cd '/Volumes/SPN Catalog/Expanded Catalogue'
- load 'DirectoryEnquiries.mat';
- D = DirectoryEnquiries;
- for i = 1:length(D)
- allDataFolder = D(i,1);
- ERPfolder = D(i,3);
- cd(allDataFolder);
- if str2num(D(i,4)) ==1
- i;
- n = D(i,6);
- load(n)
- cd(ERPfolder)
- triggerInfoFileName = D(i,5);
- save(triggerInfoFileName,'triggerInfo')
- end
- end
- % cd '/Volumes/SPN Catalog/Expanded Catalogue/Project 25/EX1 Color and Shape/Color Memory'
- % cd "/Volumes/SPN Catalog/Expanded Catalogue/Project 25alldata/EX1 Color and Shape/Color Memory"
- %
- % cd('/Volumes/SPN Catalog/Expanded Catalogue/Project 39alldata/EX1 Complex')
- clear all
- folder1 = '/Users/alexismakin/Desktop/Alexis Work/Symmetry EEG/SPN effect size and power/Results and Analysis V8/Matlab Stackers';
- cd(folder1)
- load 'DirectoryEnquiries2.mat';
- D = DirectoryEnquiries2;
- o = [];
- for i = 1:length(D)
- ERPfolder = D(i,1);
- GrandAverageFolder = D(i,2);
- folder = strcat(ERPfolder, GrandAverageFolder);
- cd(folder);
- load 'SPNcheck.mat'% from CI waves
- o = [o,SPNcheck];
- clear SPNcheck
- end
- cd(folder1)
- save('SPNcheck','o')
- clear all
- folder1 = '/Users/alexismakin/Desktop/Alexis Work/Symmetry EEG/SPN effect size and power/Results and Analysis V8/Matlab Stackers';
- cd(folder1)
- load 'DirectoryEnquiries2.mat';
- D = DirectoryEnquiries2;
- o = [];
- for i = 1:length(D)
- ERPfolder = D(i,1);
- GrandAverageFolder = D(i,2);
- folder = strcat(ERPfolder, GrandAverageFolder);
- cd(folder);
- load 'SPNcheck2.mat' % from the topoplots
- o = [o,SPNcheck];
- clear SPNcheck
- end
- cd(folder1)
- save('SPNcheck2','o')
- clear all
- folder1 = '/Users/alexismakin/Desktop/Alexis Work/Symmetry EEG/SPN effect size and power/Results and Analysis V8/Matlab Stackers';
- cd(folder1)
- load 'DirectoryEnquiries2.mat';
- D = DirectoryEnquiries2;
- o = [];
- for i = 1:length(D)
- ERPfolder = D(i,1);
- GrandAverageFolder = D(i,2);
- folder = strcat(ERPfolder, GrandAverageFolder);
- cd(folder);
- load 'thinSPNResults'
- o = [o;thinResults];
- clear thinResults
- end
- cd(folder1)
- save('thinSPNResults','o')
- clear all
- folder1 = '/Users/alexismakin/Desktop/Alexis Work/Symmetry EEG/SPN effect size and power/Results and Analysis V8/Matlab Stackers';
- cd(folder1)
- load 'DirectoryEnquiries2.mat';
- D = DirectoryEnquiries2;
- o = [];
- for i = 1:length(D)
- ERPfolder = D(i,1);
- GrandAverageFolder = D(i,2);
- folder = strcat(ERPfolder, GrandAverageFolder);
- cd(folder);
- load 'thinPeakExtremeResults'
- o = [o;thinResults];
- clear thinResults
- end
- cd(folder1)
- save('thinPeakExtremeResults','o')
- clear all
- folder1 = '/Users/alexismakin/Desktop/Alexis Work/Symmetry EEG/SPN effect size and power/Results and Analysis V8/Matlab Stackers';
- cd(folder1)
- load 'DirectoryEnquiries2.mat';
- D = DirectoryEnquiries2;
- o = [];
- for i = 1:length(D)
- ERPfolder = D(i,1);
- GrandAverageFolder = D(i,2);
- folder = strcat(ERPfolder, GrandAverageFolder);
- cd(folder);
- load 'GFPDiffCheck.mat'
- o = [o,GFPDiffCheck];
- clear GFPDiffCheck
- end
- cd(folder1)
- save('GFPDiffCheck','o')
DirectoryChecker.m, no license · at the source
Overview
- Department of Psychological Sciences, Eleanor Rathbone Building University of Liverpool Liverpool UK
Abstract
EEG can be used to measure the brain response to visual regularity. Reflectional symmetry generates an event‐related potential (ERP) named the sustained posterior negativity (SPN). The SPN for reflectional symmetry is generated automatically, whatever the participant's task. This may be because reflectional symmetry has a fundamental role in perceptual organization and guiding adaptive behaviour. In contrast, other types of regularity, such as glass patterns, do not have this ecological significance. We thus predicted that the glass pattern SPN would be more susceptible to experimental variations of task than the reflection SPN. To test this prediction, we ran three experiments on three different groups of 52 participants. All participants saw the same random, reflection and glass dot dipole stimuli. The stimuli were either black or white. In the Regularity Task, participants discriminated whether the patterns were random or regular (where regular means reflection or glass). In the Luminance task, participants discriminated whether the patterns were black or white. In the Cross task, participants discriminated whether the vertical or horizontal arm of the central fixation cross was longer. As predicted, both the reflection and glass SPN were largest in the Regularity task, reduced in the Luminance task and reduced again in the Cross task. Contrary to predictions, glass pattern SPNs were less affected by task than reflection SPNs. This unexpected result suggests that glass patterns may even be processed more automatically than reflection, although this would require replication before it is treated as secure knowledge.
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 2sncj
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
- 27 September 2026: the link answers (HTTP 200)
28 files
- gjpr7/
SPN analysis and guidebooks/ , MATLAB, 144 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Matlab Stackers/ DirectoryChecker.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 14 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Matlab Stackers/ SPNchooser.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 111 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Matlab Stackers/ basicStacker.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 118 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ ERP extractor 2020.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 17 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ Non nested checker.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 29 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ Uniform analysis.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 63 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ ranamer.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 124 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ renamer10.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 124 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ renamer11.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 127 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ renamer12.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 176 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ renamer13.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 51 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ renamer14.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 60 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ renamer2.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 74 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ renamer3.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 121 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ renamer4.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 44 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ renamer5.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 53 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ renamer6.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 157 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ renamer7.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 124 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ renamer8.m - gjpr7/
SPN analysis and guidebooks/ , MATLAB, 57 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ Renaming and prepartion scripts/ renamer9.m - gjpr7/
SPN analysis and guidebooks/ , R, 122 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ SPN Catalogue R/ G P ATT W ERP.R - gjpr7/
SPN analysis and guidebooks/ , R, 378 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ SPN Catalogue R/ Meta analysis V2.R - gjpr7/
SPN analysis and guidebooks/ , R, 77 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ SPN Catalogue R/ Polynomial Regression V2.R - gjpr7/
SPN analysis and guidebooks/ , R, 157 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ SPN Catalogue R/ SPN violins and ridgeplot.R - gjpr7/
SPN analysis and guidebooks/ , R, 351 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ SPN Catalogue R/ SPNsIndependent.R - gjpr7/
SPN analysis and guidebooks/ , R, 167 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ SPN Catalogue R/ basicChecker.R - gjpr7/
SPN analysis and guidebooks/ , R, 31 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ SPN Catalogue R/ basicStacker.R - gjpr7/
SPN analysis and guidebooks/ , R, 8 linesAnalysis in eLife paper.zip/ Results and Analysis V8/ SPN Catalogue R/ binomialTests.R
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;
- 28 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 Statement
All raw data, analysed data, analysis codes, stimulus images and stimulus generation codes are freely available for all users on open science framework. This is project 49 in the complete Liverpool SPN catalogue (https://
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 → Wiley
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 2 authors, 6 keywords, 11 MeSH terms, 1 funder, 38 references.
Cite
This paper
Buckley, N., & Makin, A. D. J. (2026). The Brain Response to Reflectional Symmetry Is Not Uniquely Preattentive. The European journal of neuroscience, 64(1), e70608. https://
BibTeX
@article{buckley2026brai
author = {Buckley, Ned and Makin, Alexis D. J.},
title = {{The Brain Response to Reflectional Symmetry Is Not Uniquely Preattentive}},
journal = {The European journal of neuroscience},
year = {2026},
month = jul,
volume = {64},
number = {1},
pages = {e70608},
publisher = {Wiley},
issn = {0953-816X},
doi = {10.1111/
url = {https://
pmid = {42373576},
pmcid = {PMC13314561}
}
RIS
TY - JOUR
AU - Buckley, Ned
AU - Makin, Alexis D. J.
TI - The Brain Response to Reflectional Symmetry Is Not Uniquely Preattentive
T2 - The European journal of neuroscience
J2 - Eur J Neurosci
PY - 2026
DA - 2026/
VL - 64
IS - 1
SP - e70608
SN - 0953-816X
PB - Wiley
DO - 10.1111/
UR - https://
LA - en
ER -
CSL-JSON
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"id": "10.1111/
"type": "article-journal",
"title": "The Brain Response to Reflectional Symmetry Is Not Uniquely Preattentive",
"container-title": "The European journal of neuroscience",
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"family": "Buckley",
"given": "Ned"
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"given": "Alexis D. J."
}
],
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"volume": "64",
"issue": "1",
"page": "e70608",
"DOI": "10.1111/
"PMID": "42373576",
"PMCID": "PMC13314561",
"ISSN": "0953-816X",
"publisher": "Wiley",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
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2026,
7,
1
]
]
}
}
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