Designing EEG Experiments for Studying the Brain
Design Code and Example Datasets

A comprehensive guide to the design and implementation of EEG experiments to study the brain including experiment design codes, example datasets, and more

Aamir Saeed Malik (Author), Hafeez Ullah Amin (Author)

9780128111406, Elsevier Science

Paperback, published 5 June 2017

294 pages
22.9 x 15.1 x 1.9 cm, 0.48 kg

Designing EEG Experiments for Studying the Brain: Design Code and Example Datasets details the design of various brain experiments using electroencephalogram (EEG). Providing guidelines for designing an EEG experiment, it is primarily for researchers who want to venture into this field by designing their own experiments as well as those who are excited about neuroscience and want to explore various applications related to the brain. The first chapter describes how to design an EEG experiment and details the various parameters that should be considered for success, while remaining chapters provide experiment design for a number of neurological applications, both clinical and behavioral. As each chapter is accompanied with experiment design codes and example datasets, those interested can quickly design their own experiments or use the current design for their own purposes. Helpful appendices provide various forms for one’s experiment including recruitment forms, feedback forms, ethics forms, and recommendations for related hardware equipment and software for data acquisition, processing, and analysis.

1. Designing an EEG Experiment2. Mental Stress3. Major Depressive Disorder4. Epileptic Seizures5. Alcohol Addiction6. Passive Polarized and Active Shutter 3D TVs7. 2D and 3D Educational Contents8. Visual and Cognitive Fatigue during Learning9. 3D Video Games10. Visually Induced Motion Sickness 11. Mobile Phone Calls12. Drivers’ Cognitive Distraction13. Drivers’ Drowsiness14. Working Memory and Attention

Subject Areas: Neurosciences [PSAN], Addiction & therapy [MMZR], Neurology & clinical neurophysiology [MJN]