How Sensitive are EEG Results to Preprocessing Methods: A Benchmarking Study
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Kay A. Robbins | Tim Mullen | Jonathan Touryan | Christian Kothe | Nima Bigdely-Shamlo | J. Touryan | K. Robbins | T. Mullen | Christian Kothe | N. Bigdely-Shamlo
[1] Kenneth Kreutz-Delgado,et al. EyeCatch: Data-mining over half a million EEG independent components to construct a fully-automated eye-component detector , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[2] Cornelia Kranczioch,et al. Individual differences in dual-target RSVP task performance relate to entrainment but not to individual alpha frequency , 2017, PloS one.
[3] Tzyy-Ping Jung,et al. Real-time neuroimaging and cognitive monitoring using wearable dry EEG , 2015, IEEE Transactions on Biomedical Engineering.
[4] Nima Bigdely Shamlo,et al. Automated EEG mega-analysis II: Cognitive aspects of event related features , 2020, NeuroImage.
[5] Arnaud Delorme,et al. EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing , 2011, Comput. Intell. Neurosci..
[6] Jose L. Contreras-Vidal,et al. Deployment of Mobile EEG Technology in an Art Museum Setting: Evaluation of Signal Quality and Usability , 2017, Front. Hum. Neurosci..
[7] Thomas E. Nichols,et al. Best practices in data analysis and sharing in neuroimaging using MRI , 2017, Nature Neuroscience.
[8] Mariano Sigman,et al. CUDAICA: GPU Optimization of Infomax-ICA EEG Analysis , 2012, Comput. Intell. Neurosci..
[9] G L Shulman,et al. INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .
[10] G. A. Miller,et al. Committee report: publication guidelines and recommendations for studies using electroencephalography and magnetoencephalography. , 2014, Psychophysiology.
[11] Stephanie Brandl,et al. Robust artifactual independent component classification for BCI practitioners , 2014, Journal of neural engineering.
[12] Kyungmin Su,et al. The PREP pipeline: standardized preprocessing for large-scale EEG analysis , 2015, Front. Neuroinform..
[13] Nima Bigdely Shamlo,et al. Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies , 2020, NeuroImage.
[14] Bertrand Rivet,et al. Regularization and a general linear model for event-related potential estimation , 2017, Behavior Research Methods.
[15] Kay A. Robbins,et al. Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG , 2016, Front. Neuroinform..
[16] Karl J. Friston,et al. Convolution models for induced electromagnetic responses , 2013, NeuroImage.
[17] Jarrad A. G. Lum,et al. Acquiring research-grade ERPs on a shoestring budget: A comparison of a modified Emotiv and commercial SynAmps EEG system. , 2017, Psychophysiology.
[18] Scott E. Kerick,et al. BLINKER: Automated Extraction of Ocular Indices from EEG Enabling Large-Scale Analysis , 2017, Frontiers in neuroscience.
[19] M. Tangermann,et al. Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG Signals , 2011, Behavioral and Brain Functions.
[20] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[21] Erich Schröger,et al. Digital filter design for electrophysiological data – a practical approach , 2015, Journal of Neuroscience Methods.
[22] Guillaume A. Rousselet,et al. Does Filtering Preclude Us from Studying ERP Time-Courses? , 2012, Front. Psychology.
[23] Joachim Gross,et al. Good practice for conducting and reporting MEG research , 2013, NeuroImage.
[24] S. Debener,et al. A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling , 2019, Front. Hum. Neurosci..
[25] Benedikt V Ehinger,et al. Unfold: an integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis , 2019, PeerJ.