Analysis of Electrical Activity in the Brain

Part 1 Non-linear dynamical analysis: A tutorial review of the use and benefits of non-linear dynamical analysis of the EEG; Clinical applications of EEG analyses by means of tools derived from non-linear system theory; Fractal analysis of the EEG in epilepsy; Non-linear time series tests for future EEG applications; Is dimensionality useful in the study of ERPs?; A tutorial on classical computer analysis of EEGs: Spectra and coherences; Time series studies; The value of the electroencephalogram in ageing, dementia and stroke; EEG coherence and mental activity. Part 2 Signal detection: Maximum length sequences versus other methods for the detection of evoked potentials; Classification of single EEG trials using machine learning methods and neural networks; Autoregressive techniques for the detection of movement related brain macropotentials; Waveform analysis and adaptive classification in a system for automatic sleep staging. Part 3 Topography and source localization: Clinical application of voltage topography and source localization in partial epilepsy; Clinical application of voltage topography and source localization in partial epilepsy; Clinical applications of source localization techniques - the human somatosensory cortex; Dipole source estimation of focal epileptic spikes: correlation with stereo-electroencephalographic findings; EEG mapping and new methods for mentation and functional activation studies; High resolution EEG: new spatial deblurring techniques using realistic surfaces of the subject's head constructed from magnetic resonance images.