Волкова Ксения Владимировна Experimental paradigms and data processing algorithms design in real time cognitive neuroimaging

Краткое описание

Волкова Ксения Владимировна Experimental paradigms and data processing algorithms design in real time cognitive neuroimaging
ОГЛАВЛЕНИЕ ДИССЕРТАЦИИ
кандидат наук Волкова Ксения Владимировна
Contents

Introduction

Chapter 1. Literature review

1.1 Characteristics of BCI systems

1.1.1 Recording techniques

1.1.2 Experimental paradigm

1.1.3 Neural phenomena

1.1.4 Signal processing

1.2 Decoding movement from ECoG

1.2.1 ECoG methodology

1.2.2 Motor paradigms

1.2.3 Decoding algorithms

1.2.4 Conclusions

Chapter 2. Advanced solutions for non-invasive motor imagery BCI

2.1 Motor imagery EEG BCI

2.2 Physiologically relevant CSP topographies selection

2.3 Latent variable method for detection of background states

Chapter 3. Experimental setups for ECoG research

3.1 Synchronous recording of continuous movement and ECoG signal

3.2 Realtime movement decoding

3.3 Digitizing tablet input

3.4 Passive functional mapping

3.4.1 Motor mapping

3.4.2 Tactile stimulation

3.4.3 Intraoperative speech mapping

3.5 Cortical stimulation mapping

Chapter 4. ECoG signal processing and data analysis methods

4.1 Preprocessing and denoising

4.1.1 Ocular artifacts removal

4.1.2 Removal of interictal activity

4.2 Decoding movement parameters using classical and deep learning

methods

4.2.1 Classical decoding methods

4.2.2 Deep neural network architectures for ECoG decoding

4.2.3 Electromyography as a proxy for ECoG based experiments

Chapter 5. Decoding movement from ECoG

5.1 Offline decoding of finger movement

5.1.1 Experiment design

5.1.2 Data analysis

5.2 Acquisition of online control of ECoG BCI

5.2.1 Experiment design

5.2.2 Data analysis

5.2.3 Discussion of the results

Chapter 6. Mapping of the eloquent cortex

6.1 Stimulation mapping of the sensorimotor cortex

6.2 Stimulation-free mapping

6.2.1 Comparative analysis of decoding algorithms

6.2.2 Passive speech mapping

Conclusions

References

List of abbreviations

Appendix A. Patient selection procedure for ECoG studies

Appendix B. Processing subject anatomy and extracting sensor

locations

Appendix C. Cortical stimulation responses

Appendix D. Implementation of the probabilistic model for latent

variable method