Computational EEG analysis : methods and applications /: methods and applications. (2018)

• Record Type: Book
• Further Information: Note: Chang-Hwan Im, editor.
• Editors: Im, Ch'ang-hwan
• Contents: Intro; Preface; Contents; Contributors; Abbreviations; Introduction; 1 Basics of EEG: Generation, Acquisition, and Applications of EEG; 1.1 Generation of EEG; 1.2 Acquisition of EEG; 1.3 Computational EEG Analysis; 1.3.1 EEG Spectral Analysis; 1.3.2 Event-Related Potential Analysis; 1.3.3 EEG Source Imaging; 1.3.4 Functional Connectivity Analysis; 1.4 Applications of EEG; References; Methods; 2 Preprocessing of EEG; 2.1 Introduction; 2.2 Early-Stage Preprocessing; 2.2.1 Characteristics of Background EEG; 2.2.2 Line Noise Removal; 2.2.3 Referencing; 2.2.4 Bad Channel Detection. 2.3 Artifact Removal2.3.1 Sources of Artifacts; 2.3.2 Artifact Removal Methods; 2.4 Discussion; References; 3 EEG Spectral Analysis; 3.1 Introduction; 3.2 Methodological Background; 3.2.1 Continuous Fourier Transform; 3.2.2 Discrete Fourier Transform; 3.2.3 Fast Fourier Transform; 3.2.4 Aliasing and Leakage; 3.2.5 Short-Time Fourier Transform; 3.3 Practical Remarks on EEG Spectral Analysis; 3.3.1 Choosing Adequate Sampling Frequency; 3.3.2 Analysis Window Size and Frequency Resolution; 3.3.3 Reducing Leakage; 3.3.4 Window Function for STFT; 3.3.5 Absolute Power Versus Relative Power. 3.3.6 Other Considerations in Spectral AnalysisReferences; 4 The Analysis of Event-Related Potentials; 4.1 Introduction; 4.2 General Considerations in ERP Analysis; 4.3 Time Domain Analysis; 4.3.1 The Additive Generative Model; 4.3.2 Ensemble Average Estimations; 4.3.3 Multivariate Filtering Methods; 4.3.4 Principal Component Analysis; 4.3.5 The Common Pattern; 4.3.6 Blind Source Separation; 4.4 Time-Frequency Domain Analysis; 4.5 Spatial Domain Analysis; 4.6 Inferential Statistics; 4.7 Single-Sweep Classification; References; 5 EEG Source Imaging and Multimodal Neuroimaging. 5.1 From the Brain to the Scalp-The Forward Problem5.1.1 Volume Source and the Poisson's Equation; 5.1.2 The Current Dipole; 5.1.3 The Forward Problem-Algebra; 5.1.4 The Volume Conductor: Type of Models; 5.1.5 A Note on Tissue Conductivity Values; 5.2 From the Scalp to the Brain-The Inverse Problem; 5.2.1 Parametric Optimization Methods; 5.2.2 Non-parametric Optimization Methods; 5.3 Multimodal Integration; 5.3.1 MEG and EEG Combinations; 5.3.2 FMRI and EEG-FMRI Combinations; 5.3.3 EEG-FNIRS; 5.4 Conclusion; References; 6 Methods for Functional Connectivity Analysis; 6.1 Introduction. 6.2 Procedure for the FCA6.3 FC Metrics; 6.3.1 Cross-Correlation Function (CCF); 6.3.2 Coherence; 6.3.3 Phase Locking Value (PLV); 6.3.4 Phase Lag Index (PLI); 6.3.5 Mutual Information (MI); 6.3.6 Granger Causality (GC); 6.3.7 Partial Directed Coherence (PDC); 6.4 Volume Conduction Problem; 6.4.1 FCA Between the Signals from Surface Electrodes; 6.4.2 Spatial Filtering; 6.4.3 FC Measures Robust to Volume Conduction Effect; 6.5 EEG FC Analysis on Source Space; 6.6 Determination of Significance; 6.7 Conclusions; References; Applications.
• Publisher Details: Singapore : Springer
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 616.8/047547; Electroencephalography; HEALTH & FITNESS -- Diseases -- General; MEDICAL -- Clinical Medicine; MEDICAL -- Diseases; MEDICAL -- Evidence-Based Medicine; MEDICAL -- Internal Medicine; Electroencephalography; Electronic books
• Languages: English
• ISBNs: 9789811309083; 9811309086; 9789811309090; 9811309094
• Related ISBNs: 9789811309076; 9811309078
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed August 20, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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