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Tomographic Electroencephalography/Magnetoencephalography
Author(s) -
Thatcher Robert W.
Publication year - 1995
Publication title -
journal of neuroimaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 64
eISSN - 1552-6569
pISSN - 1051-2284
DOI - 10.1111/jon19955135
Subject(s) - electroencephalography , magnetoencephalography , positron emission tomography , magnetic resonance imaging , artificial intelligence , eeg fmri , dipole , computer science , functional magnetic resonance imaging , pattern recognition (psychology) , medicine , neuroscience , physics , nuclear medicine , radiology , psychology , quantum mechanics
New developments in multimodal registration of electroencephalography (EEG), magnetic resonance imaging (MRI), and pOSitron emission tomography (PET) are presented as a method to create a tomographic EEG. Three‐dimensional information about the x,y,z location of the sources of event‐related potentials is corroborated through the use of experimental design and coregistration with MRI and PET. Once the three‐dimension allocation of event‐related potential dipole sources IS identified and corroborated, pseudoinverse procedures are used to derive a new EEG voltage sequence from each of the dipoles Each denved EEG dipole time series is analogous to recording EEG from a deeply implanted electrode and constitutes a four‐dimensional tomographic EEG (ie, three‐dimensional space plus time) EEG coherence and phase analyses are then performed on the dipole‐derived time series to study the temporal and spatial dynamics of neural network switching during voluntary finger movements. The purpose of this article is to demonstrate a new method to exploit the time domain dynamics of neural network switching in behaving human subjects.