Computational EEG Analysis

Part I. Introduction



Chapter 1. Basics of EEG: Generation, Acquisition and Applications of EEG - Chang-Hwan Im



1.1. Generation of EEG



1.2. Acquisition of EEG



1.3. Computational EEG Analysis



1.4. Applications of EEG







Part II. Methods



Chapter 2. Preprocessing of EEG - Sung-Phil Kim



2.1. Introduction



2.2. Early-Stage Preprocessing



2.3. Artifact Removal



2.4. Discussion







Chapter 3. EEG Spectral Analysis - Do-Won Kim and Chang-Hwan Im



3.1. Introduction



3.2. Methodological Background



3.3. Practical Remarks on EEG Spectral Analysis







Chapter 4. The Analysis of Event-Related Potentials - Marco Congedo



4.1. Introduction



4.2. General Considerations in ERP Analysis



4.3. Time Domain Analysis;



4.4. Time-Frequency Domain Analysis



4.5. Spatial Domain Analysis



4.6. Inferential Statistics



4.7. Single-Sweep Classification







Chapter 5. EEG Source Imaging and Multimodal Neuroimaging - Yingchun Zhang



5.1. From the Brain to the Scalp - the Forward Problem



5.2. From the Scalp to the Brain - the Inverse Problem



5.3. Multimodal Integration



5.4. Conclusion







Chapter 6. Methods for Functional Connectivity Analysis - Jeong-Woo Choi and Kyung-Hwan Kim



6.1. Introduction



6.2. Procedure for the FCA



6.3. FC Metrics



6.4. Volume Conduction Problem



6.5. EEG FC Analysis on Source Space



6.6. Determination of Significance



6.7. Conclusions







Part III. Applications



Chapter 7. Computational EEG Analysis for the Diagnosis of Psychiatric Illnesses - Seung-Hwan Lee and Yeonsoo Park



7.1. Introduction



7.2. Promising EEG Biomarker Candidates



7.3. Psychiatric Disorders and EEG Biomarkers



7.4. Diagnosis for Cognitive impairment: Dementia and Minimal Cognitive Impairment



7.5. Conclusion







Chapter 8. Analysis of EEG in Medically Intractable Epilepsy - Ki-Young Jung



8.1. Overview of Epilepsy and Epilepsy Surgery



8.2. EEG Source Imaging



8.3. High Frequency Oscillation (HFOs)







Chapter 9. Computational EEG Analysis for Brain-Computer Interfaces - Garett D. Johnson and Dean J. Krusienski



9.1 Brain-Computer Interfaces



9.2. Active Paradigms



9.3. Reactive Paradigms



9.4. Other Considerations







Chapter 10. EEG Analysis for Hyperscanning and Social Neuroscience - Dan Zhang



10.1. Introduction



10.2. Hyperlink for social perception



10.3. Hyperlink for social interaction



10.4. Future perspectives