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Source-based artifact-rejection techniques for TMS-EEG.
J Neurosci Methods
December 2022
Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Finland.
Neuronal electroencephalography (EEG) signals arise from the cortical postsynaptic currents. Due to the conductive properties of the head, these neuronal sources produce relatively smeared spatial patterns in EEG. We can model these topographies to deduce which signals reflect genuine TMS-evoked cortical activity and which data components are merely noise and artifacts.
View Article and Find Full Text PDFSource-based artifact-rejection techniques available in TESA, an open-source TMS-EEG toolbox.
Brain Stimul
July 2020
The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash Biomedical Imaging, Monash University, Victoria, 3168, Australia; Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute (SAHMRI), P.O. Box 11060, Adelaide, 5001, Australia; Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide Health and Medical Sciences Building, Corner of North Terrace & George Street, Adelaide, 5000, Australia.
An automatic procedure for the analysis of electric and magnetic mismatch negativity based on anatomical brain mapping.
J Neurosci Methods
March 2008
Department of Psychiatry and Psychotherapy, University Hospital Aachen, RWTH Aachen, 52074 Aachen, Germany.
Data processing techniques in electroencephalography (EEG) and magnetoencephalography (MEG) need user interactions. However, particularly in clinical applications, fast and objective data processing is important. Here we present an observer-independent method for EEG and MEG analysis of mismatch negativity (MMN) that allows reliable estimation of source activity based on objective anatomical references.
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