Selective auditory attention in normal-hearing and hearing-impaired listeners

This repository contains the EEG and behavioral data described in:

Fuglsang, S A, Märcher-Rørsted, J, Dau, T, Hjortkjær, J (2020). Effects of sensorineural hearing loss on cortical synchronization to competing speech during selective attention. Journal of Neuroscience, 40(12):2562–2572, https://doi.org/10.1523/JNEUROSCI.1936-19.2020 

Please cite this paper when using the data

The data set consists of response data for 22 hearing-impaired and 22 normal-hearing participants. It includes:
- EEG data: responses to two-talker and single-talker speech stimuli
- Envelopes of the corresponding speech audio
- EEG data: responses to 1 kHz tone beeps for ERPs
- EEG data: responses to periodic tone sequences for Envelope-following responses (EFRs)
- EEG resting-state data recorded with eyes-open and eyes-closed
- inEar EEG data for 19 of the 44 subjects (EEG recorded inside the ear canals)
- Behavioral data: speech comprehension scores, task difficulty ratings, speech-in-noise scores (SRTs), tone-in-noise scores, digit span working memory scores, SSQ questionnaire ratings
- Pure-tone audiograms

For more information, see the README and 'dataset_description.json' file.

Format
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The dataset is formatted according to BIDS version 1.3.0 and the BIDS standard extension for EEG (BEP006) that has been merged in the main body of the specification. For more details, see https://bids-specification.readthedocs.io/en/latest/06-extensions.html

Behavioural data are stored in the 'participants.tsv' file. Task-difficulty ratings and multiple choice questionnaire data from the selective attention experiment are stored in the events files (see 'task-selectiveattention_events.json'). 

Code
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Code for analyzing the data is available at: https://gitlab.com/sfugl/snhl

Audio
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Envelopes of the audio signals are included in the data set. For inquiries regarding the raw audio data, please send an email to jensh@drcmr.dk with the subject line "ds-eeg-snhl audio".

Acknowledgments
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This work was supported by the EU H2020-ICT grant number 644732 (COCOHA: Cognitive Control of a Hearing Aid) and by the Novo Nordisk Foundation synergy grant NNF17OC0027872 (UHeal). The EarEEG were kindly provided by Eriksholm Research Centre.