Elucidating the neural representation of temporal information would greatly enhance our understanding of both neural computations themselves and our interpretation of measured electromagnetic (EEG and MEG) signals that are tightly coupled to those computations.
Recording EEG in the harsh electromagnetic environment of TMS is technically and methodologically challenging.
Were used dominant frequency, amplitude, index of waves, correlation analysis of EEG, standardized low resolution brain electromagnetic tomography (sLoreta) and maximum, minimum, average frequency, RI, PI by TCD of middle cerebral artery (MCA).
Early attempts to combine TMS and EEG suffered from the huge electromagnetic artifacts seen in EEG as a result of the electric field induced by the stimulus pulses.
Neuro-electromagnetic recording techniques (EEG, MEG, iEEG) provide high temporal resolution data to study the dynamics of neurocognitive networks: large scale neural assemblies involved in task-specific information processing.
In a study estimating sources from EEG using LORETA (low resolution brain electromagnetic tomography), Anderer et al. [42] localized activity to the medial parietal and frontal cortices, with more frontal areas associated with lower spindle frequencies.
Despite several reports showing an influence of pulsed-modulated radio frequency electromagnetic field on sleep EEG, the mechanism behind these exposure-induced changes is still unclear.
Hence, VIGALL is now based on EEG-power source estimates using LORETA (Low Resolution Brain Electromagnetic Tomography) and enables the classification of EEG-vigilance stages for 1-sec-segments.
Presumably, such lateralization phenomena might only be detected applying dedicated techniques such as Low Resolution Electromagnetic Tomography [ 25] or intracranial EEG recordings, but not using a single or dual channel EEG analyzer such as the BIS monitor, which analyses superficial and local electrical activity percutaneously.
Baillet, S., Friston, K. & Oostenveld, R. Academic software applications for electromagnetic brain mapping using MEG and EEG.
