Automagic: Standardized preprocessing of big EEG data

Electroencephalography (EEG) recordings have been rarely included in large-scale studies. This is arguably not due to a lack of information that lies in EEG recordings but mainly on account of methodological issues. In many cases, particularly in clinical, pediatric and aging populations, the EEG ha...

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Bibliographic Details
Published in:	NeuroImage (Orlando, Fla.) Vol. 200; pp. 460 - 473
Main Authors:	Pedroni, Andreas, Bahreini, Amirreza, Langer, Nicolas
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 15.10.2019 Elsevier Limited
Subjects:	Aging Algorithms Alzheimer's disease Autism Automation Batch processing Between-subjects design BIDS Biomarkers Brain research Cerebral Cortex - physiology Computer programs Contamination EEG Electroencephalography Electroencephalography - methods Electroencephalography - standards Functional Neuroimaging - methods Functional Neuroimaging - standards Humans Initiatives Mental disorders Neuroimaging NMR Noise Nuclear magnetic resonance Physiology Preprocessing Quality Control Signal Processing, Computer-Assisted Software Artifacts BIDS Preprocessing EEG Quality control
ISSN:	1053-8119, 1095-9572, 1095-9572
Online Access:	Get full text
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