Identifying conceptual neural responses to symbolic numerals

The goal of measuring conceptual processing in numerical cognition is distanced by the possibility that neural responses to symbolic numerals are influenced by physical stimulus confounds. Here, we targeted conceptual responses to parity (even vs. odd), using electroencephalographic (EEG) frequency-tagging with a symmetry/asymmetry design. Arabic numerals (2–9) were presented at 7.5 Hz in 50-s sequences; odd and even numbers were alternated to target differential, “asymmetry” responses to parity at 3.75 Hz (7.5 Hz/2). Parity responses were probed with four different stimulus sets, increasing in intra-numeral stimulus variability, and with two control conditions comprised of non-conceptual numeral alternations. Significant asymmetry responses were found over the occipitotemporal cortex to all conditions, even for the arbitrary controls. The large physical-differences control condition elicited the largest response in the stimulus set with the lowest level of variability (1 font). Only in..., 1) EEG data for 15 participants.
-acquired with a BioSemi, ActiveTwo system (.bdf) 
-standard 64 channel headcap active recording electrodes + PO9, I1, I2, and PO10 https://www.biosemi.com/headcap.htm 
-We processed this data with LetsWave6, an open-source toolbox running over MATLAB (https://www.letswave.org/). Bdf (BioSemi Data Format) files (https://www.biosemi.com/faq/file_format.htm) can also be accessed directly and with many other common EEG analysis toolboxes for Matlab and Python. 
Please see the README document for processing details. 
2) Stimuli. 4 sets: 1 font; 10 fonts; 10 mixed; 20 drawn., , # Identifying conceptual neural responses to symbolic numerals

[https://doi.org/10.5061/dryad.1zcrjdg13](https://doi.org/10.5061/dryad.1zcrjdg13)

Talia L. Retter, Lucas Eraßmy & Christine Schiltz

Proceedings of the Royal Society B: Biological Sciences (2024)

## Description of the data and file structure

BioSemi BDF files (EEG data)

15 participants (NumberShape_S01-S15); none excluded

CONDITION TRIGGERS:

1 font: parity: 11; small phys.-diff. control: 21; large phys.-diff. control: 31

10 fonts: parity: 12; small phys.-diff. control: 22; large phys.-diff. control: 32

10 mixed: parity: 13; small phys.-diff. control: 23; large phys.-diff. control: 33

20 fonts: parity: 14; small phys.-diff. control: 24; large phys.-diff. control: 34

## EEG notes and analysis steps

Data proceeded with LetsWave 6 ([https://www.letswave.org/](https://www.letswave.org/), running over Matlab R2019b (MathWorks, USA))

IMPORT/BASIC PREPROCESSING

1\. import bdfs

1b. assign electrode labels+coordina...