Longitudinal EEG Test-Retest Reliability in Healthy Individuals

UC San Diego 2026 Dataset Open access

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Authors: Verónica Henao Isaza, Valeria Cadavid Castro, Luisa María Zapata Saldarriaga, Yorguin-José Mantilla-Ramos, Jazmín Ximena Suárez-Revelo, Carlos Tobón, John Fredy Ochoa Gómez
DOI: 10.82901/nemar.on007176
Cited by: 0
References: 1

Abstract

This dataset contains longitudinal resting-state EEG recordings from 43 healthy adults across four sessions spanning about two years, with an average inter-session interval of 7.2 months. It was collected to evaluate the test-retest reliability of EEG measures processed with an automated pipeline combining independent component analysis and wavelet-enhanced artifact removal. The data support analyses of neural components, relative power in regions of interest, and the longitudinal stability of quantitative EEG.

Fields of Study & Subjects

EEG and Brain-Computer Interfaces Neural dynamics and brain function Functional Brain Connectivity Studies

Publication details

Journal / source
UC San Diego
Publication date
30 September 2026
Language
EN
Document type
Dataset