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BIDS-structured resting-state electroencephalography (EEG) data extracted from an experimental paradigm
Electroencephalography (EEG) offers a unique window into the dynamics of the neuronal symphony that powers our brains. Here, we describe a publicly available dataset of EEG recorded from 111 healthy subjects. The data were recorded with 64 electrodes in a resting-state condition, an approach that of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679478/ https://www.ncbi.nlm.nih.gov/pubmed/36425964 http://dx.doi.org/10.1016/j.dib.2022.108647 |
Sumario: | Electroencephalography (EEG) offers a unique window into the dynamics of the neuronal symphony that powers our brains. Here, we describe a publicly available dataset of EEG recorded from 111 healthy subjects. The data were recorded with 64 electrodes in a resting-state condition, an approach that offers broad-spectred analysis options, including functional connectivity and graph theory. In a subset of the subjects (n = 42), a second EEG recording was performed, 2-3 months after the initial recording, allowing measurement stability to be assessed. Furthermore, in connection with the EEG acquisition, a range of neuropsychological test scores were obtained for each subject. The dataset is comprehensive and organised according to the Brain Imaging Data Structure (BIDS) specification, providing a valuable starting point for both aspiring and experienced researchers in a range of fields, including cognitive neuroscience, data science, machine learning, and clinical neurophysiology. |
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