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Nuances in IMA EEG datasets

dataset
posted on 2023-07-19, 13:39 authored by Ekaterina YukhnovichEkaterina Yukhnovich

EEG data looking into comparison in intensity deviant MMN amplitudes between tinnitus and control participants (those with C suffix are controls). A roving paradigm was used, where deviants were pseudo-random changes from one type of intensity stimulus to the other. Two frequencies were used in interspersed blocks: tinnitus frequency and control (1 kHz). The tinnitus frequency was estimated by each individual with tinnitus to be as close to their tinnitus as possible (matched controls listened to the tinnitus frequency of their match). The loudness was also decided by each participant, but the difference originally between loud and quiet stimuli was set at -6 dB (changed by participant if they could not tell the difference in loudness). Controls were matched in hearing profile as well as gender and age to participants with tinnitus. Passive task (watching a TV show with subtitles but no sound) was used during the 1 hour EEG recording session.


Trigger structure used for data collection: 

cond_labs = {'Std Low Con','Std High Con','Std Low Tin','Std High Tin', 'Dev Down Con','Dev Up Con','Dev Down Tin','Dev Up Tin', 'Durdev Low Con','Durdev High Con','Durdev Low Tin','Durdev High Tin'};


conditions = {'10111','10121','10211','10221', '10112','10122','10212','10222', '20111','20121','20211','20221',};


Definitions: Std = standards, dev = intensity deviants, durdev = duration deviants, low = quiet stimulus. high = loud stimulus, tin = tinnitus frequency, con = control frequency

Funding

Masonic Charitable Foundation

Royal National Institute for Deaf People (RNID)

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