Bone conducted responses using the parallel auditory brainstem response (pABR) paradigm

README ------ Details related to access to the data ------------------------------------- Please contact the following author for further information: Melissa Polonenko(email: [e-mail]) Overview -------- This is the dataset for the paper Polonenko MJ & Maddox RK (2026), with citation listed below. Ear and Hearing: Polonenko, MJ, & Maddox, RK. Bone conducted responses using the parallel auditory brainstem response (pABR) paradigm. Accepted March 27, 2026. BioRxiv: Polonenko, MJ, & Maddox, RK. Bone conducted responses using the parallel auditory brainstem response (pABR) paradigm. bioRxiv [Preprint]. 2025 Oct 7:2025.10.07.680974. doi: 10.1101/2025.10.07.680974. Data was collected from October to November 2024. Aim: This study aimed to confirm the feasibility of bone conduction pABR. 1) Create normative values for bone conducted pABR stimuli. 2) Compare ABRs to air- and bone-conducted stimuli. The details of the experiment can be found in the bioRxiv pre-print and article cited above. Stimuli for EEG: pABR stimuli with 500, 1000, 2000, 4000, 8000 Hz tone pips. AC only: dichotic presentation with 40 Hz stimulation rate BC: BC stimuli at 40 Hz presentation rate; contralateral masking presented via AC at 400 Hz stimulation rate Levels: 20, 40, 60, 70, 50, 30 dB peSPL 600 x 1 s trials for each level for each task (AC, BC) Total of 3,600 trials for each task x 2 tasks = 7,200 trials total Total of 60 minutes per task for a total of 120 minutes EEG recording. Stimuli for BEH: pABR stimuli with 500, 1000, 2000, 4000, 8000 Hz tone pips Tone pips presented separately Stimulation rates: 20, 40, 60, 80 Hz The code for analyses is available in this dataset. Format ------ The EEG dataset is formatted according to the EEG Brain Imaging Data Structure. It includes EEG recording in raw brainvision format (.eeg, .vhdr, .vmrk) and stimuli files in format of .hdf5. The stimuli files contain the audio ('x') and the pulses ('x_pulse'), the latter of which is used to create the pulse inds for the regressors [take indices where abs(x_pulse) > 0.5] in the cross- correlation. Generally, you can find detailed event data in the .tsv files and descriptions in the accompanying .json files. Raw eeg files are provided in the Brain Products format. The BEH dataset has a .log and .tab file with the data from the trackers that can be recontructed using the expyfun package. This data is provided on GitHub at https://github.com/polonenkolab/pabr_bc_poc Participants ------------ 22 participants, mean ± SD age of 22.8 ± 2.7 years (19-31 years) Note: participants 15 & 21 do not have EEG data; participants 3 & 4 do not have BEH data Inclusion criteria: 1) Age between 18-40 years 2) Normal hearing: audiometric thresholds <25 dB HL from 500 to 8000 Hz Please see participants.tsv for more information. Apparatus --------- Participants sat in a darkened sound-isolating booth and rested while listening to the stimuli. They were encouraged to sleep. Stimuli were presented through ER-2 insert earphones (AC) and a B-81 vibrator (BC) plugged into an RME Digiface USB digital sound card. Custom python scripts using expyfun were used to control the experiment and stimulus presentation. Details about the experiment ---------------------------- For a detailed description of the task, see Polonenko & Maddox (2026) and the supplied `task-f0s_eeg.json` file. The levels for each task were interleaved interleaved. Trigger onset times are not corrected for the delay of the insert earphones, but the tsv files have both the uncorrected and corrected samples. Triggers with values of "1" were recorded to the onset of the 1 s audio, and shortly after triggers with values of "4" or "8" were stamped to indicate the which of the runs (levels) and tokens was played. This was done by converting the decimal trial number to bits, denoted b, then calculating 2 ** (b + 2). We've specified the metadata of the events in each of the '*_eeg_events.tsv" file, which is sufficient to know which trial corresponded to run and which stimulus file to use and which token index to use.