Recent advances in signal analysis have engendered EEG with the status of a true brain
map** and brain imaging method capable of providing spatio-temporal information …

This paper describes methods to analyze the brain′ s electric fields recorded with
multichannel Electroencephalogram (EEG) and demonstrates their implementation in the …

In most cognitive neuroscience experiments there are many behavioral and experimental
dynamics, and many indices of brain activity, that vary from trial to trial. For example, in …

Principal components analysis (PCA) has attracted increasing interest as a tool for
facilitating analysis of high-density event-related potential (ERP) data. While every …

Current treatments modalities for major depressive disorder (MDD) mainly target
monoaminergic neurotransmission. However, the therapeutic inadequacy and adverse …

Dynamic changes in ERP topographies can be conveniently analyzed by means of
microstates, the so-called “atoms of thoughts”, that represent brief periods of quasi-stable …

Auditory evoked potentials are informative of intact cortical functions of comatose patients.
The integrity of auditory functions evaluated using mismatch negativity paradigms has been …

Magnetoencephalography (MEG) is a noninvasive functional neuroimaging modality but
highly susceptible to environmental interference. Signal space separation (SSS) is a method …

We analyse statistical and information-theoretical properties of EEG microstate sequences,
as seen through the lens of five different clustering algorithms. Microstate sequences are …

The ability to discriminate conspecific vocalizations is observed across species and early
during development. However, its neurophysiologic mechanism remains controversial …