Journal ArticleDOI
Reliability of fully automated versus visually controlled pre- and post-processing of resting-state EEG
Florian Hatz,Martin Hardmeier,Habib Bousleiman,Habib Bousleiman,Stephan Rüegg,Christian Schindler,Peter Fuhr +6 more
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TLDR
In this article, the reliability of a Matlab toolbox for the fully automated, pre-and post-processing of resting state EEG (automated analysis, AA) was compared with analysis involving visually controlled pre- and postprocessing (VA), and the reliability over time was assessed with intraclass correlation coefficients (ICC).About:
This article is published in Clinical Neurophysiology.The article was published on 2015-02-01. It has received 57 citations till now. The article focuses on the topics: Intraclass correlation.read more
Citations
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The PREP pipeline: standardized preprocessing for large-scale EEG analysis
TL;DR: It is demonstrated that ordinary average referencing improves the signal-to-noise ratio, but that noisy channels can contaminate the results and a multi-stage robust referencing scheme is introduced to deal with the noisy channel-reference interaction.
Journal ArticleDOI
The Harvard Automated Processing Pipeline for Electroencephalography (HAPPE): Standardized Processing Software for Developmental and High-Artifact Data
TL;DR: The Harvard Automated Processing Pipeline for EEG (HAPPE) is proposed as a standardized, automated pipeline compatible with EEG recordings of variable lengths and artifact contamination levels, including high-artifact and short EEG recordings from young children or those with neurodevelopmental disorders.
Journal ArticleDOI
Automatic correction of ocular artifacts in the EEG: a comparison of regression-based and component-based methods*1
TL;DR: A modified regression approach using Bayesian adaptive regression splines to filter the electrooculogram (EOG) before computing correction factors supported the use of regression-based and PCA-based ocular artifact correction and suggested a need for further studies examining possible spectral distortion from ICA-based corrections.
Journal ArticleDOI
Assessing and conceptualizing frontal EEG asymmetry: An updated primer on recording, processing, analyzing, and interpreting frontal alpha asymmetry.
TL;DR: An updated tutorial for EEG alpha asymmetry recording, processing, analysis, and interpretation, with an eye towards improving consistency of results across studies.
Journal ArticleDOI
Reproducibility of functional connectivity and graph measures based on the phase lag index (PLI) and weighted phase lag index (wPLI) derived from high resolution EEG.
Martin Hardmeier,Florian Hatz,Habib Bousleiman,Christian Schindler,Cornelis J. Stam,Peter Fuhr +5 more
TL;DR: PLI/wPLI based network characterization derived from high-resolution EEG has apparently good reliability, which is one important requirement for longitudinal studies exploring the effects of chronic brain diseases over several years.
References
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Journal ArticleDOI
The measurement of observer agreement for categorical data
J. R. Landis,Gary G. Koch +1 more
TL;DR: A general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies is presented and tests for interobserver bias are presented in terms of first-order marginal homogeneity and measures of interob server agreement are developed as generalized kappa-type statistics.
Journal ArticleDOI
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.
Arnaud Delorme,Scott Makeig +1 more
TL;DR: EELAB as mentioned in this paper is a toolbox and graphic user interface for processing collections of single-trial and/or averaged EEG data of any number of channels, including EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), Independent Component Analysis (ICA) and time/frequency decomposition including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling.
Journal ArticleDOI
Bootstrap Methods: Another Look at the Jackknife
TL;DR: In this article, the authors discuss the problem of estimating the sampling distribution of a pre-specified random variable R(X, F) on the basis of the observed data x.
Journal ArticleDOI
FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data
TL;DR: FieldTrip is an open source software package that is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data.
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