Regions in the human inferior temporal gyrus are engaged in numerosity processing across visual stimulus categories.

Code ↔ Paper

2 matches between paragraphs of the paper and lines of its authors' code, computed by the harvester (lexical-v1). Click a colored paragraph or line to see its counterpart.

The 2 matches · all tie a paragraph to a whole file, not to given lines: weak matches, whose lines are not tinted

[1] § Materials and methods › Color localizer ↔ runme.m, the whole file · a weak match · score 0.69 · localizer experiment designed, stimulus categories, houses, limbs, background, cortex
[2] § Materials and methods › Participants ↔ runme.m, the whole file · a weak match · score 0.52 · Philipps University, Marburg, adult, written

Paper

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The authors' code

MATLAB · 113 lines · 3.9 KB · no license · 2 matches

function runme(nruns,startRun)
Screen('Preference', 'SkipSyncTests', 1);
% Prompts experimenter for session information and executes functional
% localizer experiment used to define regions in high-level visual cortex
% selective to written characters, body parts, faces, and places.
%
% INPUTS (optional)
% nruns: total number of runs to execute sequentially (default is 3 runs)
% startRun: run number to start with if interrupted (default is run 1)
%
% STIMULUS CATEGORIES (2 subcategories for each stimulus condition)
% Written characters
% 1 = word: English psueudowords (3-6 characters long; see Glezer et al., 2009)
% 2 = number: whole numbers (3-6 characters long)
% Body parts
% 3 = body: headless bodies in variable poses
% 4 = limb: hands, arms, feet, and legs in various poses and orientations
% Faces
% 5 = adult: adults faces
% 6 = child: child faces
% Places
% 7 = corridor: views of indoor corridors placed aperature
% 8 = house: houses and buildings isolated from background
% Objects
% 9 = car: motor vehicles with 4 wheels
% 10 = instrument: string instruments
% Baseline = 0
%
% EXPERIMENTAL DESIGN
% Run duration: 5 min + countdown (12 sec by default)
% Block duration: 6 sec (4 images shown sequentially for 1500 ms each)
% Task: 1-back
% 3 conditions counterbalanced (2 stimulus conditions + baseline condition)
% 16 blocks per condition (alternating between subcategories)
%
% Version 2.0 81/2023
% Vicente Aguilera ([email hidden])
% Department of Educational Neuroscience, Philipps-Universität Marburg
%% SET DEFUALTS
if ~exist('nruns','var')
nruns = 4;
end
if ~exist('startRun','var')
startRun = 1;
end
if startRun > nruns
error('startRun cannot be greater than nruns')
end
%% SET PATHS
path.baseDir = pwd; addpath(path.baseDir);
path.fxnsDir = fullfile(path.baseDir,'functions'); addpath(path.fxnsDir);
path.scriptDir = fullfile(path.baseDir,'scripts'); addpath(path.scriptDir);
path.dataDir = fullfile(path.baseDir,'data'); addpath(path.dataDir);
path.stimDir = fullfile(path.baseDir,'stimuli'); addpath(path.stimDir);
%% COLLECT SESSION INFORMATION
% initialize subject data structure
subject.name = {};
subject.date = {};
subject.experiment = 'fLoc';
subject.scanner = -1;
subject.script = {};
% collect subject info and experimental parameters
subject.name = input('Subject initials : ','s');
subject.name = deblank(subject.name);
subject.date = date;
while ~ismember(subject.scanner,[0 1])
subject.scanner = input('Trigger scanner? (0 = no, 1 = yes): ');
end
%% GENERATE STIMULUS SEQUENCES
if startRun == 1
% create subject script directory
cd(path.scriptDir);
makeorder_fLoc(nruns);
subScriptDir = [subject.name '_' subject.date '_' subject.experiment];
mkdir(subScriptDir);
% create subject data directory
cd(path.dataDir);
subDataDir = [subject.name '_' subject.date '_' subject.experiment];
mkdir(subDataDir);
% prepare to exectue experiment
cd(path.baseDir);
sprintf(['\n' num2str(nruns) ' runs will be exectued.\n']);
end
%% EXECUTE EXPERIMENTS AND SAVE DATA FOR EACH RUN
for r = startRun:nruns
% execute this run of experiment
subject.script = ['script_' subject.experiment '_numerosity_run' num2str(r)];
sprintf(['\nRun ' num2str(r) '\n']);
WaitSecs(1);
[theSubject theData] = et_run_fLoc(path,subject);
% save data for this run
cd(path.dataDir); cd(subDataDir);
saveName = [theSubject.name '_' theSubject.date '_' theSubject.experiment '_numerosity_run' num2str(r)];
save(saveName,'theData','theSubject')
cd(path.baseDir);
end
%% BACKUP SCRIPT AND PARAMTER FILES FOR THIS SESSION
for r = 1:nruns
cd(path.scriptDir);
movefile(['script_' subject.experiment '_numerosity_run' num2str(r)],subScriptDir);
%cd(path.dataDir);
movefile(['script_' subject.experiment '_numerosity_run' num2str(r) '_' subject.date '.par'],subScriptDir);
end
cd(path.baseDir);
end

runme.m at commit 1481a9b, no license · at the source

Overview

Authors: Vicente Alejandro Aguilera González^1,2, Gizem Cetin^1,2, Stephanie Zika^1,2, Antonia Schulz^1,2, Max Pirsch¹, Alexia Dalski^1,2, Mareike Grotheer^1,2,3

ORCID iDs: Vicente Alejandro Aguilera González

Institutions: Philipps University of Marburg (Germany); Justus-Liebig-Universität Gießen (Germany); Technische Universität Darmstadt (Germany); Max Planck Institute for Human Development (Germany)

Journal: Cerebral cortex (New York, N.Y. : 1991), volume 36, issue 6, article bhag065

Dates: received 25 August 2025; accepted 20 April 2026; published online 2 July 2026; in print June 2026

Type: Research article · Language: English

License: CC BY-NC

Identifiers: DOI 10.1093/cercor/bhag065 · PMID 42391567 · PMCID PMC13327103 · OpenAlex W7167048476

Open access: hybrid, a free copy (OpenAlex)

Status: code verified

Categories: human (organism), healthy (population), cognitive (subfield)

Methods: Statistics, Connectivity, fMRI & imaging, Single-unit activity, calcium imaging, Machine learning

Keywords: inferior temporal gyrus, mathematical cognition, numbers, vision, visual number form area

MeSH: Cognition*, Mathematical Concepts*, Photic Stimulation*, Temporal Lobe*, Visual Perception*, Adult, Female, Healthy Volunteers, Humans, Magnetic Resonance Imaging, Male, Young Adult (* major topic)

Topic: Cognitive and developmental aspects of mathematical skills (Statistics and Probability, Mathematics), according to OpenAlex

Funding: European Commission (101161197); Deutsche Forschungsgemeinschaft (222641018); Germany’s Excellence Strategy (EXC 3066/1, 533717223); State of Hesse (LOEWE/4b//519/05/01.002(0016)/120); Lise Meitner Excellence Program of the Max Planck Society

Citations: not cited yet (Europe PMC); 41 references in the paper

Abstract

The visual number form areas, here referred to as inferior temporal gyrus-math (ITG-math), have gained recent attention as a neural substrate of mathematical cognition. Yet, the function of these regions remains debated with some research suggesting selectivity for digits and others suggesting a visual stimulus-independent role in mathematical processing. Here we addressed this debate by exploring the impact of different tasks and stimuli on neural responses in ITG-math. Participants were presented with digits and UFOs, while performing a 1-back task either on stimulus numerosity or on stimulus color. We collected 2 sessions of this experiment from 17 healthy adults and could identify voxels with higher responses in the numerosity than the color task in 92% of the participants, whereas contrasting digits with unidentified flying objects (UFOs) leads to selective responses in only 35% of the participants. Accordingly, in independent data, ITG-math showed a task preference, but no stimulus preference. Multivariate analyses further revealed task encoding, and a combination of task and stimulus encoding, in the left and right ITG-math, respectively. Our work hence supports the notion that the role of ITG-math in mathematical cognition goes beyond the encoding of digits.

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

Repository

Its files are read in the Code ↔ Paper reader above, with 2 matches between paragraphs and lines of code.

EduNeuroLab/ITG-math_localizer

License: none: the authors keep all their rights

State: the link answers, verified on 27 September 2026

Evidence: files inventoried

Commit: 1481a9be941cc294780ea0b84a7b088159f8cd1b, 21 August 2025

Languages: MATLAB (27)

Size: 424 files, 27 scripts

Software Heritage: not archived

Found in: “Code and data availability”

Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation

Tools: Psychtoolbox (12 files), Statistics and Machine Learning Toolbox (1 file)

Availability: 1 check, the latest on 27 September 2026: the link answers

27 September 2026: the link answers

27 files

PortIO/Test_IO.m, MATLAB, 15 lines
PortIO/config_io.m, MATLAB, 13 lines
PortIO/inp.m, MATLAB, 5 lines
PortIO/outp.m, MATLAB, 10 lines
data/dataAnalysis.m, MATLAB, 522 lines
functions/GetTriggerBION.m, MATLAB, 14 lines
functions/InitPortBION.m, MATLAB, 16 lines
functions/createSingleTriggerPort.m, MATLAB, 12 lines
functions/doAnalysis_fLoc.m, MATLAB, 66 lines
functions/doScreen.m, MATLAB, 21 lines
functions/drawFixation.m, MATLAB, 17 lines
functions/et_run_fLoc.m, MATLAB, 256 lines
functions/getBoxNumber.m, MATLAB, 24 lines
functions/getKey.m, MATLAB, 19 lines
functions/getKeyboardNumber.m, MATLAB, 27 lines
functions/gethistory.m, MATLAB, 14 lines
functions/makeorder.m, MATLAB, 50 lines
functions/makeorder_fLoc.m, MATLAB, 732 lines
functions/newStartScan.m, MATLAB, 19 lines
functions/readScript_fLoc.m, MATLAB, 39 lines
functions/recordKeys.m, MATLAB, 44 lines
functions/recordKeysBionPort.m, MATLAB, 48 lines
functions/shuffle.m, MATLAB, 12 lines
functions/waitSingleTriggerPort.m, MATLAB, 9 lines
functions/writeParfile.m, MATLAB, 98 lines
functions/writeParfile_fLoc.m, MATLAB, 95 lines
runme.m, MATLAB, 113 lines, 2 matches

At the source: github.com/EduNeuroLab/ITG-math_localizer.git

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

Tracing map

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1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
27 scripts, each with its path and the digest of its content;
2 matches between paragraphs of the paper and lines of the code (method lexical-v1);
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Data

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

Code and data availability

Experimental and analysis code can be found in GitHub: https://github.com/EduNeuroLab/ITG-math_localizer.git MRI data will be made available by the corresponding author upon reasonable request.

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

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 5 keywords, 12 MeSH terms, 5 funders, 41 references.

Cite

This paper

Aguilera González, V. A., Cetin, G., Zika, S., Schulz, A., Pirsch, M., Dalski, A., & Grotheer, M. (2026). Regions in the human inferior temporal gyrus are engaged in numerosity processing across visual stimulus categories. Cerebral cortex (New York, N.Y. : 1991), 36(6), bhag065. https://doi.org/10.1093/cercor/bhag065

BibTeX

@article{aguileragonzalez2026regions, author = {Aguilera González, Vicente Alejandro and Cetin, Gizem and Zika, Stephanie and Schulz, Antonia and Pirsch, Max and Dalski, Alexia and Grotheer, Mareike}, title = {{Regions in the human inferior temporal gyrus are engaged in numerosity processing across visual stimulus categories}}, journal = {Cerebral cortex (New York, N.Y. : 1991)}, year = {2026}, month = jun, volume = {36}, number = {6}, pages = {bhag065}, publisher = {Oxford University Press}, issn = {1047-3211}, doi = {10.1093/cercor/bhag065}, url = {https://doi.org/10.1093/cercor/bhag065}, pmid = {42391567}, pmcid = {PMC13327103} }

RIS

TY - JOUR AU - Aguilera González, Vicente Alejandro AU - Cetin, Gizem AU - Zika, Stephanie AU - Schulz, Antonia AU - Pirsch, Max AU - Dalski, Alexia AU - Grotheer, Mareike TI - Regions in the human inferior temporal gyrus are engaged in numerosity processing across visual stimulus categories T2 - Cerebral cortex (New York, N.Y. : 1991) J2 - Cereb Cortex PY - 2026 DA - 2026/06/01 VL - 36 IS - 6 SP - bhag065 SN - 1047-3211 PB - Oxford University Press DO - 10.1093/cercor/bhag065 UR - https://doi.org/10.1093/cercor/bhag065 LA - en ER -

CSL-JSON

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