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

Publication subTitle :Design Code and Example Datasets

Author: Malik   Aamir Saeed;Amin   Hafeez Ullah  

Publisher: Elsevier Science‎

Publication year: 2017

E-ISBN: 9780128111413

P-ISBN(Paperback): 9780128111406

Subject: Q426 central nervous system physiology

Keyword: 神经病学与精神病学,神经病学

Language: ENG

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Description

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.

  • Written to assist neuroscientists in experiment designs using EEG
  • Presents a step-by-step approach to designing both clinical and behavioral EEG experiments
  • Includes experiment design codes and example datasets
  • Provides inclusion and exclusion criteria to help correctly identify experiment subjects and the minimum number of samples

Chapter

1 Designing an EEG Experiment

1.1 Introduction

1.2 Fundamental of EEG Waves

1.2.1 Delta Waves (Up to 4 Hz)

1.2.2 Theta Waves (4–8 Hz)

1.2.3 Alpha Waves (8–13 Hz)

1.2.4 Beta Waves (13–25 Hz)

1.2.5 Gamma Waves (above 25 Hz)

1.3 Importance of Experiment Design

1.4 EEG Experimentation: Ethical Issues and Guidelines

1.4.1 Ethical Issues

1.4.2 Ethics Approval Guidelines

1.4.2.1 General Principles

1.4.2.2 Participants’ Rights

1.4.2.3 Informed Consent

1.4.2.4 Participant Recruitment and Remuneration

1.4.2.5 Ethical Principles of Related External Bodies

1.5 Sample Size Computation

1.5.1 Objective and Hypothesis of the Study

1.5.2 Target Population

1.5.3 Statistical Attributes of Sample Size

1.5.3.1 Statistical Power

1.5.3.2 Significance Level

1.5.3.3 Effect Size

1.5.3.4 Standard Deviation

1.5.4 Types and Numbers of Dependent and Independent Variables

1.5.5 Groups, Conditions, and Statistical Tests

1.5.6 Available Software

1.6 Example of Experiment Design

1.6.1 Objective

1.6.2 Instructions to Participant

1.6.3 Stimulus and Time

1.6.4 Trials, Blocks, and Conditions

1.6.5 Participants’ Response and Feedback

1.6.6 Events Synchronization with EEG

1.6.7 End of Task

1.7 EEG Equipment and Software

1.7.1 EEG Equipment and Data Acquisition Software

1.7.2 Presentation Software

1.8 Guidelines for EEG Data Acquisition

1.8.1 General Data Acquisition Setup

1.8.1.1 Number of Electrodes

1.8.1.2 Dry or Gel-Based Electrodes

1.8.1.3 Montage (Bipolar, Referential)

1.8.1.4 EEG References

1.8.1.5 Sampling Rate

1.8.2 Experiment Design

1.8.3 Preparation of Participant

1.8.4 EEG System Check-Up

1.9 Summary

References

2 Mental Stress

2.1 Introduction

2.2 Importance of Mental Stress Evaluation

2.3 Problem Statement

2.4 Software and Hardware

2.5 Experimental Design and Protocol

2.5.1 Target Population

2.5.2 Inclusion Criteria

2.5.3 Exclusion Criteria

2.5.4 Sample Size Calculation

2.5.5 Participant Selection and Recruitment

2.5.6 Experimental Design and Procedure

2.5.6.1 Habituation Period

2.5.6.2 Rest Condition

2.5.6.3 Mental Arithmetic Condition

Level 1

Level 2

Level 3

Level 4

2.5.6.4 Stress Condition

2.5.6.5 Control Condition

2.5.6.6 Recovery Condition

2.6 Detail of Ethics Approval

2.7 Data Description

2.7.1 Behavioral Data

2.7.2 EEG/ERP Data

2.8 Relevant Papers

Acknowledgments

References

3 Major Depressive Disorder

3.1 Introduction

3.2 Importance of Studying MDD

3.3 Problem Statement

3.4 Software/Hardware

3.5 Experiment Design and Protocol

3.5.1 Target Population

3.5.2 Inclusion Criteria

3.5.3 Exclusion Criteria

3.5.4 Clinical Questionnaires

3.5.5 Sample Size Computation

3.5.6 Participant Recruitment

3.5.7 Ethics Approval

3.6 Experimental Tasks and Procedure

3.6.1 Procedure/Methodology

3.7 Data Description

3.8 Relevant Papers

Acknowledgments

References

4 Epileptic Seizures

4.1 Introduction

4.1.1 Classification of Epileptic Seizures

4.1.1.1 Generalized Seizures

4.1.1.2 Partial Seizures

4.2 Importance of Studying Epilepsy

4.3 Problem Statement

4.4 Details of Public EEG Databases

4.4.1 University of Bonn Dataset

4.4.2 CHB-MIT Dataset

4.4.3 European Epileptic Dataset

4.5 Dataset Availability

Acknowledgments

References

5 Alcohol Addiction

5.1 Introduction

5.2 Importance of Studying Drug Addiction

5.3 Problem Formulation

5.4 Research Design

5.4.1 Hypothesis

5.4.2 Sample Size Computation

5.4.3 Subjects Details

5.5 Experiment Procedure

5.6 Software/Hardware Details

5.7 Data Description

5.7.1 Experiment Data Accompanying This Chapter

5.8 Relevant Papers

Acknowledgments

References

6 Passive Polarized and Active Shutter 3D TVs

6.1 Introduction

6.2 Importance of Studying 3D Display Technologies

6.3 Problem Statement

6.4 Software and Hardware Tools

6.5 Experimental Design and Protocol

6.5.1 Target Population

6.5.2 Inclusion Criteria

6.5.3 Exclusion Criteria

6.5.4 Sample Size Computation

6.5.5 Participant Recruitment

6.5.6 Stimuli

6.5.7 Experiment Design

6.5.8 Experiment Procedure

6.5.9 Self-Report Measures

6.5.9.1 Simulator Sickness Questionnaire

6.5.9.2 Subjective Data

6.6 Data Description

6.6.1 Experiment Data Accompanying this Chapter

6.6.2 Questionnaire Data

6.7 Relevant Papers

Acknowledgments

References

7 2D and 3D Educational Contents

7.2 Importance of Studying 3D-Based Multimedia Educational Tools

7.3 Problem Statement

7.4 Software and Hardware

7.5 Experimental Design and Protocol

7.5.1 Target Population

7.5.2 Inclusion Criteria

7.5.3 Exclusion Criteria

7.5.4 Sample Size Calculation

7.5.5 Participant Recruitment

7.5.6 Experiment Design

7.5.6.1 General Cognitive Ability Task

7.5.6.2 Learning Task (3D Animation)

7.5.6.3 Visual Oddball Task

7.5.6.4 Recall Task

7.5.7 Experiment Procedure

7.6 Data Description

7.6.1 E-Prime Program

7.6.2 EEG Description

7.6.3 Experiment Data Accompanying this Book

7.7 Relevant Papers

Acknowledgments

References

8 Visual and Cognitive Fatigue During Learning

8.1 Introduction

8.2 Importance and Significance of Visual and Mental Fatigue during Learning

8.3 Problem Statement

8.4 Software and Hardware

8.5 Experiment Design and Protocol

8.5.1 Experiment Design

8.5.1.1 Raven’s Advanced Progressive Matrices (RAPM) Test

8.5.1.2 3D Visualization Material

8.5.1.3 Visual Oddball Task

8.5.2 Experiment Procedure

8.6 Data Description

8.6.1 EEG/ERP Description

8.6.2 Subjective Data Description

8.7 Relevant Papers

Acknowledgments

References

9 3D Video Games

9.1 Introduction

9.2 Importance of Studying 3D Violence Game

9.3 Problem Statement

9.4 Description of 2D- and 3D-Based Video Games

9.5 Software and Hardware Tools

9.6 Experimental Design and Protocol

9.6.1 Target Population

9.6.2 Inclusion Criteria

9.6.3 Exclusion Criteria

9.6.4 Sample Size Computation

9.6.5 Experimental Video Game Contents

9.6.6 Experiment Design and Procedure

9.7 Experimental Data Accompanying This Chapter

9.8 Relevant Papers

Acknowledgments

References

10 Visually Induced Motion Sickness

10.1 Introduction

10.1.1 Types of Stereoscopy

10.2 Importance of Studying VIMS for 3D Displays

10.3 Problem Statement and Objectives

10.4 Visually Induced Motion Sickness

10.4.1 Methods of Inducing Motion Sickness

10.5 Software and Hardware

10.6 Experimental Design and Protocol

10.6.1 Study Population

10.6.2 Sample Size Computation

10.6.3 Selection Criteria

10.6.3.1 Inclusion Criteria

10.6.3.2 Exclusion Criteria

10.6.4 Experiment Design

10.6.4.1 Visual Stimulus

10.7 Experiment Data Accompanying this Book

10.8 Relevant Papers

Acknowledgments

References

11 Mobile Phone Calls

11.1 Introduction

11.2 Previous Studies

11.3 Importance of Studying the Effects of Mobile Phone Calls

11.4 Problem Description

11.5 Software and Hardware

11.6 Experiment Design and Protocol

11.6.1 Target Population

11.6.2 Inclusion Criteria

11.6.3 Exclusion Criteria

11.6.4 Sample Size Calculation

11.6.5 Participant Recruitment

11.6.6 Experiment Design

11.6.7 Experiment Procedure

11.7 Data Description

Acknowledgments

References

12 Drivers’ Cognitive Distraction

12.1 Introduction

12.2 Importance of Studying Driver Distraction

12.3 Software and Hardware

12.4 Experiment Design and Protocol

12.4.1 Target Population

12.4.2 Inclusion Criteria

12.4.3 Exclusion Criteria

12.4.4 Sample Size Calculation

12.4.5 Participant Recruitment

12.4.6 Experiment Design

12.4.6.1 Driving (Primary Task)

12.4.6.2 Cognitive Task (Secondary Task)

12.4.7 Experiment Procedure

12.5 EEG Data Description

12.5.1 Experiment Data Accompanying This Book

12.6 Relevant Papers

Acknowledgments

References

13 Drivers’ Drowsiness

13.1 Introduction

13.2 Importance of Studying Drivers’ Drowsiness

13.3 Problem Statement

13.4 Software and Hardware

13.5 Experiment Design and Protocol

13.5.1 Target Population

13.5.2 Inclusion Criteria

13.5.3 Exclusion Criteria

13.5.4 Sample Size Calculation

13.5.5 Experiment Design

13.5.6 Precautions

13.6 Data Description

13.7 Relevant Papers

Acknowledgments

References

14 Working Memory and Attention

14.1 Introduction

14.2 Importance of Studying Working Memory Assessment

14.3 Problem Statement

14.4 Software and Hardware

14.5 ExperimentAL Design and Protocol

14.5.1 Target Population

14.5.2 Sample Size Calculation

14.5.3 Experiment Design

14.5.3.1 Design of Task 1

14.5.4 Experiment Procedure

14.6 Data Description

14.6.1 EEG Description

14.7 Relevant Papers

Acknowledgments

References

Appendices

2A Subject Recruitment Pro Forma Sheet

2B Feedback questionnaire

2C Subject Information and Consent Form

2D Perceived Stress Scale (PSS) Questionnaire

Computing PSS Grade

3A Hospital Anxiety and Depression Scale (HADS)

3B Beck Depression Inventory-II (BDI-II)

Interpreting the Beck Depression Inventory

5A The Alcohol Use Disorders Identification Test

5B Mini International Neuropsychiatric Interview (MINI)

5C Alcohol Withdrawal Assessment Scoring Guidelines (CIWA-Ar)

6A Demographic Data

6B Simulator Sickness Questionnaire (SSQ) And Feedback Form

7A Screening Questionnaire

7B Feedback Questionnaire

9A Questionnaire

10A Eye Examination Form

10B Motion Sickness Susceptibility Q­ue­st­io­nn­aire

11A Questionnaire Form

13A Sample Size Calculation

13B Drowsiness Questionnaire

14 Subject Research Information

Introduction

Purpose of the Study

Qualification to Participate

Study Procedures

Risks

Reporting Health Experiences

Participation in the Study

Questions

Confidential

Signatures

Introduction

Purpose of the Study

Qualification to Participate

Study Procedure

Risks

Reporting Health Experiences

Participation in the Study

Possible Benefits

Questions

Confidentiality

Signatures

Purpose of the Study

Qualification to Participate

Study Procedures

Risks

Reporting Health Experiences

Participation in the Study

Possible Benefits

Questions

Confidentiality

Signatures

Introduction

Purpose of the Study

Qualification to Participate

Study Procedures

Risks

Reporting Health Experiences

Participation in the Study

Possible Benefits

Questions

Confidentiality

Signatures

Introduction

Purpose of the Study

Qualification to Participate

Study Procedures

Risks

Reporting Health Experiences

Participation in the study

Questions

Confidentiality

Signatures

References

Glossary

Index

Back Cover

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