Doing the math: detection and neural processing of auditory task-unrelated stimuli while solving arithmetic tasks.
The 2 matches
- [1] § Methods and materials › Statistical analyses ↔ EEG Data/MultiverseANOVA.m, lines 34–138 · score 0.87 · P3b amplitude, 600 ms, 800 ms, 700 ms, ANOVAs, widths
- [2] § Methods and materials › Statistical analyses ↔ EEG Data/MultiverseANOVA.m, lines 34–138 · score 0.74 · N1 peak, P3b amplitudes, 159 ms, 700 ms, ANOVAs, component
Paper
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The authors' code
MATLAB · 249 lines · 9.4 KB · no license · 2 matches
MultiverseANOVA.m, no license · at the source
Overview
- Institute of Medical Psychology and Systems Neuroscience, University of Münster, Von-Esmarch-Str. 52, D-48149 Münster, Germany
- Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Fliednerstr. 21, D-48149 Münster, Germany
Abstract
Load Theory proposes that perceptual load impairs the processing of task-unrelated stimuli. However, there is increasing evidence that not only perceptual demands but also cognitive task load affect the processing of task-unrelated stimuli. The current event-related potential (ERP) study investigated the effects of cognitive load induced by arithmetic operations on the detection and neural processing of intensity-modulated beep tones. The tasks were based on different instructions regarding perceptually identical displays of numbers. Results showed decreased stimulus detection and reduced P3b in the ERP to auditory stimuli under high compared with low load across different signal-to-noise ratios (SNR). However, the N1 amplitude was unaffected by load based on our typical analytical pipeline using an average reference. Using a linked mastoids reference and strong filtering revealed an effect of load on the N1 for the highest SNR. Thus, analytical pipelines may affect the results. Nevertheless, the lower probability of reported awareness of task-unrelated auditory stimuli during difficult mathematical tasks across SNR levels seems to be driven predominantly by a late neural effect.
Reproduced under the paper's license (CC BY-NC), from the paper cited above.
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Availability: 1 check, the latest on 26 September 2026: the link answers (HTTP 200)
- 26 September 2026: the link answers (HTTP 200)
3 files, to read at the source
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- EEG Data/
MultiverseANOVA.m — MATLAB, 249 lines, 2 matches, not shown here - EEG Data/
Syntax_N1.sps — SPSS, 8 lines, not shown here - EEG Data/
Syntax_P3b.sps — SPSS, 16 lines, not shown here
The paper's code and data availability statement is in the Data section.
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Data
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Data and code are available on the Open Science Framework and are accessible via https://
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 5 keywords, 77 references.
Cite
This paper
Brockhoff, L., Alteköster, X., Bruchmann, M., Schindler, S., Moeck, R., & Straube, T. (2026). Doing the math: detection and neural processing of auditory task-unrelated stimuli while solving arithmetic tasks. Neuroscience of consciousness, 2026(1), niag059. https://
BibTeX
@article{brockhoff2026do
author = {Brockhoff, Laura and Alteköster, Xenia and Bruchmann, Maximilian and Schindler, Sebastian and Moeck, Robert and Straube, Thomas},
title = {{Doing the math: detection and neural processing of auditory task-unrelated stimuli while solving arithmetic tasks}},
journal = {Neuroscience of consciousness},
year = {2026},
month = sep,
volume = {2026},
number = {1},
pages = {niag059},
publisher = {Oxford University Press},
issn = {2057-2107},
doi = {10.1093/
url = {https://
pmid = {42761790},
pmcid = {PMC13587093}
}
RIS
TY - JOUR
AU - Brockhoff, Laura
AU - Alteköster, Xenia
AU - Bruchmann, Maximilian
AU - Schindler, Sebastian
AU - Moeck, Robert
AU - Straube, Thomas
TI - Doing the math: detection and neural processing of auditory task-unrelated stimuli while solving arithmetic tasks
T2 - Neuroscience of consciousness
J2 - Neurosci Conscious
PY - 2026
DA - 2026/
VL - 2026
IS - 1
SP - niag059
SN - 2057-2107
PB - Oxford University Press
DO - 10.1093/
UR - https://
LA - en
ER -
CSL-JSON
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