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Updated: Jun 16, 2026
Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
Published on: May 10, 2019
BIDS-formatted resting-state and loudness dependence of auditory evoked potentials (LDAEP) EEG dataset from healthy
Henrik Normannseth1,2, Stein Andersson1,3, Christoffer Hatlestad-Hall4
1Section for Clinical and Cognitive Neuroscience, Department of Psychology, University of Oslo, P.O. Box 1094, Blindern 0317 Oslo, Norway.
Abstract:
Here, we describe a publicly available electroencephalography (EEG) dataset recorded from 69 healthy women (aged 19-40). Data were acquired using a 64-channel BioSemi ActiveTwo system (10-10 electrode positions) at a sampling rate of 2048 Hz. The dataset includes two EEG paradigms: (1) a resting-state recording consisting of four minutes with eyes closed followed by four minutes with eyes open (available for all 69 participants), and (2) a loudness dependence of auditory evoked potentials (LDAEP) paradigm comprising 1000 Hz tones at five intensity levels (55-95 dB SPL; available for 54 participants). The dataset also includes demographic variables, hormonal contraceptive (HC) usage information, menstrual cycle data, Beck Depression Inventory-II (BDI-II) scores, and UPPS Impulsive Behavior Scale subscale scores. The data are organized according to the Brain Imaging Data Structure (BIDS) specification and hosted on OpenNeuro. The dataset is suitable for research on resting-state EEG, LDAEP, hormone-related variation in brain electrophysiology, and machine learning applications.
