Automagic: Standardized preprocessing of big EEG data

• 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

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...