BIDS-formatted resting-state and loudness dependence of auditory evoked potentials (LDAEP) EEG dataset from healthy women.

Henrik Normannseth, Stein Andersson, Christoffer Hatlestad-Hall

Abstract read

In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

BIDS-formatted resting-state and loudness dependence of auditory evoked potentials (LDAEP) EEG dataset from healthy women.Data in brief · 2026
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Henrik NormannsethSection for Clinical and Cognitive Neuroscience, Department of Psychology, University of Oslo, P.O. Box 1094, Blindern 0317 Oslo, Norway.

Stein AnderssonSection for Clinical and Cognitive Neuroscience, Department of Psychology, University of Oslo, P.O. Box 1094, Blindern 0317 Oslo, Norway.

Christoffer Hatlestad-HallDepartment of Neurology, Oslo University Hospital, P.O. Box 4950, Nydalen 0424 Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Depressive symptomsElectroencephalographyEvent-related potentialsHormonal contraceptivesSex hormonesWomen's health

Identifiers

PMID42293445

DOI10.1016/j.dib.2026.112940

PMCPMC13264121

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.