title: Sources of non-physiologic noise in simultaneous EEG-fMRI data: a phantom study.
abstract: Simultaneous EEG-fMRI studies require an understanding of the noise characteristics of the acquisition environment so that appropriate pre-processing steps may be taken to remove known artifacts from the data stream. Using a phantom approach, we have developed a general methodology for characterizing non-physiologic noise in EEG signal and demonstrate the use of this methodology for a specific MR scanner and EEG data acquisition system configuration. Our results show the δ frequency band is significantly impacted by baseline drift or baseline correction algorithms while the β and γ bands are impacted by residual gradient artifact and gradient corrections.
authors.affiliation: Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA. politted@mir.wustl.edu
authors.forename: David
authors.initials: D
authors.lastname: Politte
authors.forename: Fred
authors.initials: F
authors.lastname: Prior
authors.forename: Curtis
authors.initials: C
authors.lastname: Ponton
authors.forename: Tracy
authors.initials: T
authors.lastname: Nolan
authors.forename: Linda
authors.initials: L
authors.lastname: Larson-Prior
mesh_terms: D016477:Artifacts; D017097:Electric Impedance; D004566:Electrodes; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D017711:Nonlinear Dynamics; D019047:Phantoms, Imaging; D012815:Signal Processing, Computer-Assisted