Data-driven re-referencing of intracranial EEG based on independent component analysis (ICA)
By Sebastian Michelmann, Matthias Sebastian Treder, B. Griffiths, Casper Kerrén, F. Roux, M. Wimber, D. Rollings, V. Sawlani, R. Chelvarajah, S. Gollwitzer and 5 more. 2017
Subfields: Cognitive Neuroscience, Signal Processing
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Citations in the corpus
- A practical preprocessing pipeline for concurrent TMS-iEEG: Critical steps and methodological considerations (2025, unknown): “We simulated a four-contact sEEG shaft model, following procedures adapted from a previously published study (Michelmann et al., 2018).”
- Intracranial EEG referencing for large-scale category-selective mapping in the human ventral occipito-temporal cortex (2025, unknown): “…matter common reference, independent component analysis, REST, ( Li et al., 2018; S. Liu et al., 2021; Y. Liu et al., 2015; Mercier et al., 2022; Michelmann et al., 2018; Parish et al., 2023; Yao, 2001) were not tested here, our findings provide some recommendations for future group iEEG…”
- CARLA: Adjusted common average referencing for cortico-cortical evoked potential data (2023, methodology): “Some referencing methods employ dimensionality reduction techniques such as principal and independent component analysis (Alexander et al., 2019; Michelmann et al., 2018; Uher et al., 2020).”
- A supervised data-driven spatial filter denoising method for speech artifacts in intracranial electrophysiological recordings (2023, unknown): “This approach has been used primarily for non-invasive electrophysiology 14,15,17,18 , and more recently for iEEG signal processing 13,19,20 .”