Overview
- Guides readers to planning and carrying out intracranial EEG research projects
- Answers important questions relating to data processing and statistical analysis
- Merges hands-on knowledge and scholarly background information
Part of the book series: Studies in Neuroscience, Psychology and Behavioral Economics (SNPBE)
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Table of contents (53 chapters)
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Front Matter
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Clinical Background, General Questions and Practical Considerations
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Front Matter
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Physiological Basis and Functional Role of Intracranial EEG Signals
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Front Matter
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Keywords
- iEEG experiments
- Stereotactic EEG
- Effect of Antiepileptic Drugs on EEG Signals
- Intracranial Time-Frequency Activity vs Sculp Activity
- Types of EEG Electrodes
- Inter-Individual Differences of EEG
- Functional Role of iEEG Oscillations
- Narrow-band iEEG Oscillations
- Artifact Correction Algorithms
- Physiological vs Pathological High-Frequency Activity
- EEG Electrode Positioning
- MNI Location of EEG electrodes
- Data Aggregation Across Electrodes
- EEG vs MEG Data
- Multivariate Analysis of iEEG Data
- Cross-Frequency Coupling
- Time-frequency Analysis of iEEG data
- Multimodel EEG Recordings
- Simultaneous fMRI-iEEG Recordings
About this book
This book offers the first, comprehensive guide to planning and conducting intracranial EEG studies, and analyzing intracranial EEG data. The chapters address core questions in the field of intracranial EEG research. They are written by internationally recognized experts in the domain of intracranial EEG and acknowledge the heterogeneity of approaches in this field. The particular format of the book allows readers to find clear guidelines, hands-on expertise and invaluable background information for planning and conducting state-of-the-art intracranial EEG research projects. Besides offering a reference guide to newcomers in the field, it also provides scholarly information for the more experienced researcher and inspiration for the expert. The book covers a wide range of topics, with a special emphasis on aspects in which intracranial EEG data differ from other types of data in the cognitive neurosciences. It discusses typical patient characteristics and implantation schemes, ethical issues, and practical considerations for planning and running intracranial EEG experiments. It addresses signal characteristics and the physiological background of oscillatory and non-oscillatory aspects of intracranial EEG signals. It describes complex pre-processing steps such as advantages and disadvantages of different referencing schemes, and how to identify the location of electrodes. In addition, it answers specific questions on data processing, addressing core aspects of statistical analysis, and suggesting guidelines for data presentation. Further, it covers advanced topics such as causal interventions (i.e. deep brain stimulation), acquisition and analysis of single-unit data and multimodal recordings, and discusses important future challenges and opportunities in the field of intracranial EEG research.
Editors and Affiliations
Bibliographic Information
Book Title: Intracranial EEG
Book Subtitle: A Guide for Cognitive Neuroscientists
Editors: Nikolai Axmacher
Series Title: Studies in Neuroscience, Psychology and Behavioral Economics
DOI: https://doi.org/10.1007/978-3-031-20910-9
Publisher: Springer Cham
eBook Packages: Behavioral Science and Psychology, Behavioral Science and Psychology (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-20909-3Published: 02 August 2023
Softcover ISBN: 978-3-031-20912-3Due: 02 September 2023
eBook ISBN: 978-3-031-20910-9Published: 01 August 2023
Series ISSN: 2196-6605
Series E-ISSN: 2196-6613
Edition Number: 1
Number of Pages: XXX, 906
Number of Illustrations: 11 b/w illustrations, 172 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Neurosciences, Neuropsychology