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Electrical neuroimaging is based on the analysis of brain electrical activity recorded from the human scalp with multichannel EEG. This approach offers enormous potential for the dynamic mapping of brain functions, and for the non-invasive diagnosis of neurological and psychiatric conditions. The technique is decisively different from the traditional analysis of EEG and event-related potential (ERP) data, which is based on waveform morphology and/or frequency characteristics of recordings at certain electrode positions. Electrical neuroimaging exclusively considers the spatial properties of the electric fields
and the temporal dynamics of these fields, and uses this information to identify putative generators in the brain that give rise to these recorded fields on the scalp.
Providing a systematic overview and authoritative reference to these new electrical imaging methods, this book gives a comprehensive and sound introduction to the basics of multichannel recording of EEG and ERP data, and on spatio-temporal analysis of the potential fields. All chapters include practical examples of illustrative studies and approaches. The book enables researchers to measure valid data, select and apply appropriate analysis strategies, and avoid the most common mistakes when analyzing and interpreting EEG/ERP data. Importantly, it informs the research communities of the possibilities opened by these space-domain oriented approaches to the analysis of brain electrical activity, and of their potential for multimodal integration with other clinically relevant data to offer even more powerful diagnostic techniques.
|Item Type:||Edited Scientific Work|
|Communities & Collections:||04 Faculty of Medicine > Psychiatric University Hospital Zurich > Clinic for Psychiatry, Psychotherapy, and Psychosomatics|
04 Faculty of Medicine > Center for Child and Adolescent Psychiatry
04 Faculty of Medicine > The KEY Institute for Brain-Mind Research
|DDC:||610 Medicine & health|
|Deposited On:||20 Jan 2010 09:44|
|Last Modified:||13 Jun 2012 07:19|
|Publisher:||Cambridge University Press|
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