Skip to content
Register Sign in Wishlist

Electrical Neuroimaging

£150.00

  • Editors:
  • Christoph M. Michel, Université de Genève
  • Thomas Koenig, University Hospital of Psychiatry, Berne, Switzerland
  • Daniel Brandeis, Department of Child and Adolescent Psychiatry, University of Zurich, Switzerland and Central Institute of Mental Health, Mannheim, Grmany
  • Lorena R. R. Gianotti, The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, University of Zürich, Switzerland
  • Jiří Wackermann, Institute for Frontier Areas of Psychology and Mental Health, Freiburg im Breisgau, Germany
Daniel Brandeis, Christoph M. Michel, Florin Amzica, Thomas Koenig, Lorena R. R. Gianotti, Roberto D. Pascual-Marqui, Kensuke Sekihara, Jiří Wackermann, Lester Melie-García, Carsten Allefeld
View all contributors
  • Date Published: July 2009
  • availability: Available
  • format: Hardback
  • isbn: 9780521879798

£ 150.00
Hardback

Add to cart Add to wishlist

Other available formats:
eBook


Looking for an inspection copy?

This title is not currently available on inspection

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • Electrical neuroimaging is based on the analysis of brain electrical activity recorded from the human scalp with multichannel EEG. It offers enormous potential for the dynamic mapping of brain functions, and for the non-invasive diagnosis of neurological and psychiatric conditions. This authoritative reference gives a systematic overview of new electrical imaging methods, with a sound introduction to the basics of multichannel recording of EEG and event-related potential (ERP) data, as well as spatio-temporal analysis of the potential fields. 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 to offer even more powerful diagnostic techniques when integrated with other clinically relevant data.

    • Clear guidance on analysis procedures helps the reader to understand and successfully perform each step
    • A sound theoretical background of analysis procedures clarifies the reason for each analysis step and the possibilities for interpretation
    • Includes practical examples of illustrative studies and approaches
    • Fully illustrated in color
    Read more

    Reviews & endorsements

    'I trust this volume can become an authoritative reference that gives a systematic overview of the theoretical and practical possibilities offered by a strictly topographical analysis of EEG and ERP data.; Kognitive Neurophysiologie des Menschen

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: July 2009
    • format: Hardback
    • isbn: 9780521879798
    • length: 250 pages
    • dimensions: 240 x 160 x 20 mm
    • weight: 0.66kg
    • contains: 15 b/w illus. 4 tables
    • availability: Available
  • Table of Contents

    1. From neuronal activity to scalp potential fields Daniel Brandeis, Christoph M. Michel and Florin Amzica
    2. Scalp field maps and their characterization Thomas Koenig and Lorena R. R. Gianotti
    3. Imaging the electric neuronal generators of EEG/MEG Roberto D. Pascual-Marqui, Kensuke Sekihara, Daniel Brandeis and Christoph M. Michel
    4. Data acquisition and pre-processing standards for electrical neuroimaging Christoph M. Michel and Daniel Brandeis
    5. Overview of analytical approaches Thomas Koenig and Jiří Wackermann
    6. Electrical neuroimaging in the time domain Christoph M. Michel, Thomas Koenig and Daniel Brandeis
    7. Multichannel frequency and time-frequency analysis Thomas Koenig and Roberto D. Pascual-Marqui
    8. Statistical analysis of multichannel scalp field data Thomas Koenig and Lester Melie-García
    9. State space representation and global descriptors of brain electrical activity Jiří Wackermann and Carsten Allefeld
    10. Integration with other functional imaging methods Daniel Brandeis, Christoph M. Michel, Thomas Koenig and Lorena R. R. Gianotti.

  • Editors

    Christoph M. Michel, Université de Genève
    Christoph M. Michel is Professor at the Departments of Clinical and Basic Neurosciences, Medical Faculty, University of Geneva, Switzerland.

    Thomas Koenig, University Hospital of Psychiatry, Berne, Switzerland
    Thomas Koenig is Head of the EEG Research Laboratory at the University Hospital of Psychiatry in Bern, Switzerland.

    Daniel Brandeis, Department of Child and Adolescent Psychiatry, University of Zurich, Switzerland and Central Institute of Mental Health, Mannheim, Grmany
    Daniel Brandeis is Professor at the Department of Child and Adolescent Psychiatry, University of Zürich, Switzerland.

    Lorena R. R. Gianotti, The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, University of Zürich, Switzerland
    Lorena R. R. Gianotti is a Research Scientist at the KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, University of Zürich, Switzerland.

    Jiří Wackermann, Institute for Frontier Areas of Psychology and Mental Health, Freiburg im Breisgau, Germany
    Jiří Wackermann is Head of the Department of Empirical and Analytical Psychophysics at the Institute for Frontier Areas of Psychology and Mental Health, Freiburg im Breisgau, Germany.

    Contributors

    Daniel Brandeis, Christoph M. Michel, Florin Amzica, Thomas Koenig, Lorena R. R. Gianotti, Roberto D. Pascual-Marqui, Kensuke Sekihara, Jiří Wackermann, Lester Melie-García, Carsten Allefeld

Related Books

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email [email protected]

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×
warning icon

Turn stock notifications on?

You must be signed in to your Cambridge account to turn product stock notifications on or off.

Sign in Create a Cambridge account arrow icon
×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×