Designing EEG experiments for studying the brain : design code and example datasets / Aamir Saeed Malik, Hafeez Ullah Amin.

Format:

Book

Author/Creator:

Malik, Aamir Saeed, 1969-

Contributor:

Amin, Hafeez Ullah.

Language:

English

Subjects (All):

Electroencephalography.

Genre:

Electronic books.

Physical Description:

1 online resource : color illustrations

Place of Publication:

Oxford : Elsevier, 2017.

System Details:

text file

Summary:

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 develop 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. Key Features, Written to assist neuroscientists in experiment designs using EEG, Step-by-step approach to designing both clinical and behavioral EEG experiments, Chapters accompanied by experiment design codes and example datasets, Provides inclusion and exclusion criteria to help correctly identify experiment subjects and minimum number of samples, Includes appendices providing recruitment forms, ethics forms, and various subjective tests associated with each of the chapters Book jacket.

Contents:

Front Cover; Designing EEG Experiments for Studying the Brain; Copyright Page; Contents; List of Figures; List of Tables; Preface; 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 Remuneration1.4.2.5 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 Conditions1.6.5 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 Stress2.1 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 Description2.7.1 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

Notes:

Online resource; title from PDF title page (EBSCO, viewed June 8, 2017).

Includes bibliographical references and index.

Other Format:

Print version:

ISBN:

9780128111413

0128111410

OCLC:

988275856

Publisher Number:

40027305325

Access Restriction:

Restricted for use by site license.