UZH-Logo

Maintenance Infos

Electrical Neuroimaging


Electrical Neuroimaging. Edited by: Michel, C; Koenig, T; Brandeis, D; Gianotti, L R R; Wackermann, J (2009). Cambridge: Cambridge University Press.

Abstract

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.

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.

Additional indexing

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
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:2009
Deposited On:20 Jan 2010 09:44
Last Modified:05 Apr 2016 13:44
Publisher:Cambridge University Press
ISBN:978-0-521-87979-8
Related URLs:https://www.zora.uzh.ch/7076/
https://www.zora.uzh.ch/7078/
https://www.zora.uzh.ch/27910/
https://www.zora.uzh.ch/27915/
https://www.zora.uzh.ch/28005/
https://www.zora.uzh.ch/30095/
https://www.zora.uzh.ch/30100/
http://opac.nebis.ch/F/?local_base=NEBIS&con_lng=GER&func=find-b&find_code=SYS&request=005898995

Download

Full text not available from this repository.

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations