The current study investigated effects of continuous social inclusion in a virtual ball tossing game on the P300 event-related potential based on a single trial analysis. Participants played an ostensible online game called Cyberball, which served as a social modification of the classical Oddball Paradigm. During the inclusion session, ball passes to the participant became more frequent over time from almost none to 33% at the very end of the game. Each participant had to ran an inclusion and an exclusion session. According to the order of experimental conditions, two inclusion-groups encompassing 15 datasets were taken for analysis. Of special interest was the centro-parietal P3b subcomponent that emerges 220ms-500ms after stimulus onset. The signal detection technique included template matching and cross-correlation. The data were analyzed twice: Once with the raw data, once preprocessed with the application of the Independent Component Analysis. Performances of the different approaches were compared and evaluated. Effects of target probability changes on the P300 amplitude were investigated. Further a linear fit and a model of local target probability were applied to account for P300 amplitude variations. Latencies were mainly examined to validate the methods of single trial estimations.
Table of Contents
1 Abstract
2 Introduction
2.1 Introduction
2.2 Ostracism
2.3 Paradigms that Trigger the Feeling of Ostracism
2.4 External and Internal Factors that Moderate Ostracism’s Immediate Impact
2.5 The Need Threat Model
2.6 The Ostracism Sensitivity Threshold and Clinical Implications
2.7 Ostracism and Social Inclusion
2.8 Event-Related-Potentials
2.9 P300 Component and the Oddball Paradigm
2.9.1 P3b Latency
2.9.2 P3b Amplitude
2.10 A Social Oddball Paradigm
2.11 Single-Trial Analysis and the P300
2.12 Development of the Single Trial Analysis
2.12.1 Extraction of the Component of Interest
2.12.2 Independent Component Analysis
2.13 Aim of the Current Study
2.14 Hypothesis
3 Materials and Methods
3.1 Participants
3.2 Period of Investigation and Laboratory Environment
3.3 Cyberball Paradigm: Stimulus Sequences and Material
3.4 Experimental Design
3.4.1 Independent Variable
3.4.2 Dependent Variable
3.5 Control of Confounding Variables
3.6 EEG Recording
3.6.1 Electrode Placement and EEG Settings
3.6.2 Equipment
3.7 Test Execution
3.7.1 Participant Recruitment
3.7.2 EEG Preparation
3.8 Procedure
4 Data Analysis
4.1 EEG Preprocessing
4.1.1 Approach 1: Non-ICA correction
4.1.2 Approach 2: ICA correction
4.2 Template Matching Method
4.3 Statistics
4.3.1 Effects of Time and Group on the P300 Potential
4.3.2 Probability Models and the P300 Amplitude
5 Results
5.1 Effects of Time and Group on the P300 Potential
5.1.1 Amplitudes
5.1.2 Latencies
5.2 Probability Models and the P300 Amplitude
5.2.1 Linear Fit
5.2.2 Model of Local Target Probability
6 Discussion
6.1 Summary of Results
6.1.1 Non-ICA Corrected Data
6.1.2 ICA Corrected Data
6.2 Hypothesis
6.3 Integration of Results in the P300 Literature
6.3.1 P300 Amplitude
6.3.2 P300 Latency
6.4 Interpretation of the P300 Component Referring to an Ostracism Detection System
6.5 Summary According to the Method of Single Trial Analysis
6.5.1 The Approaches of Non-ICA and ICA Correction
6.5.2 Template Matching Method
6.6 Conclusion
6.7 Critical Review and Prospective Studies
7 References
8 Appendices
Research Objectives and Topics
The primary research objective of this study is to investigate the neural processing of continuous social inclusion by analyzing the P300 event-related potential during a modified, ostensible online ball-tossing game (Cyberball). The study aims to determine whether the P300 component serves as an index for tracking increasing game participation (social inclusion) on a single-trial basis and how different analytical approaches—specifically raw data versus data preprocessed with Independent Component Analysis (ICA)—influence these findings.
- Electrophysiological assessment of P300 variations under conditions of varying social inclusion probabilities.
- Evaluation and comparison of signal detection methods (Template Matching Method, ICA, and Non-ICA correction) for single-trial EEG analysis.
- Application of mathematical models, including linear fits and local target probability models, to explain P300 amplitude fluctuations.
- Investigation of the P300 potential as a possible marker for an Ostracism Detection System in healthy individuals.
- Exploration of the relationship between neuronal responses and perceived social inclusion.
Excerpt from the Book
2.2 Ostracism
Ostracism, as the process of being ignored by individuals or groups (K. D. Williams, 2007), is a phenomenon found in human and non-human beings. Nearly all of us have once in our lives experienced social exclusion. According to Williams Ostracism occurs explicitly or just by being kept apart by others but it often happens without excessive explanation or explicit negative attention towards an individual (K. D. Williams, 2007). Because Ostracism has been observed in most species and from a number of perspectives, it is appropriate to consider an evolutionary view on its function and existence (K. D. Williams, 2007). In fact, Gruter and Masters describe Ostracism to appear in modern industrialized nations, in governmental, military, religious institutions and penal facilities, educational institutes and in informal groups or close relationships – thus, Ostracism can be seen as very powerful and pervasive (Gruter & Masters, 1986).
Ostracism is a well-investigated phenomenon, especially in the field of Social Psychology since belonging is considered to be a fundamental requirement for security, mental health and reproductive success (Baumeister & Leary, 1995). Because of this Need to Belong, Ostracism may lead to maladaptive decisions and behaviors. The increasing frequency of irrational and socially intolerable incidents such as mass-shootings or the willingness to conduct terrorist acts has recently been associated with growing social isolation (Twenge, Baumeister, Tice, & Stucke, 2001). The observation of outrageous violence as possible consequence of social exclusion yields the growing interest on examining the phenomenon of Ostracism (K. D. Williams, 2007).
To investigate the phenomenon of Ostracism and its consequences, several paradigms have been evolved that will be introduced in the next passage.
Summary of Chapters
Abstract: This chapter provides a summary of the study investigating P300 changes during continuous social inclusion, comparing non-ICA and ICA-corrected data analysis methods.
Introduction: This section covers theoretical foundations regarding ostracism, the Need Threat Model, the role of P300 in the oddball paradigm, and the rationale for using single-trial analysis to study social inclusion.
Materials and Methods: This section details the participant selection, the modified Cyberball paradigm used for the experiment, the EEG recording setup, and the statistical analysis plan.
Data Analysis: This chapter explains the preprocessing steps, the two specific analytical approaches (Non-ICA and ICA correction), the Template Matching Method for signal extraction, and the mathematical modeling techniques applied.
Results: This section presents the findings from the ANOVAs regarding P300 amplitude and latency, along with the results of the linear fit and local target probability models for both datasets.
Discussion: This chapter interprets the results in the context of existing P300 literature, evaluates the methodological approaches used, and suggests directions for future research.
References: This section lists the academic sources cited throughout the thesis.
Appendices: This section provides supplementary materials, including stimulus descriptions, statistical data tables, and the specific Matlab scripts used for the analysis.
Keywords
P300, Ostracism, Cyberball, Social Inclusion, Single-Trial Analysis, Event-Related Potentials, Independent Component Analysis, Template Matching, Oddball Paradigm, Need Threat Model, Amplitude, Latency, Social Psychology, Neuronal Processing, Brain Activity
Frequently Asked Questions
What is the fundamental focus of this thesis?
The thesis investigates how the P300 event-related potential behaves when a person experiences continuous social inclusion in a virtual environment, specifically using a modified version of the Cyberball game.
What are the primary themes addressed?
Key themes include the psychological phenomenon of ostracism, the neuronal processing of social events, the utility of single-trial analysis for EEG data, and the comparison of different data processing techniques.
What is the central research question?
The core question is whether the P300 component reflects the increase in participation (social inclusion) during a ball-tossing game and whether single-trial analysis can effectively capture these changes.
Which scientific method is utilized in this study?
The study uses an experimental approach involving EEG recording while subjects play the Cyberball game. It employs signal detection methods like template matching and cross-correlation, as well as Independent Component Analysis (ICA) for data cleaning.
What topics are discussed in the main part of the work?
The main part covers the theoretical background of ostracism and P300, the methodology of conducting an EEG study within a cyber-paradigm, the statistical analysis of P300 amplitudes and latencies, and a comprehensive discussion of findings.
Which keywords best characterize this research?
Key terms include P300, Ostracism, Cyberball, Single-Trial Analysis, Event-Related Potentials, Social Inclusion, and Independent Component Analysis.
Why were two different methods of data analysis compared?
The author compared raw (non-ICA) data with ICA-corrected data to evaluate which approach provided more reliable or sensitive information regarding the single-trial P300 signal.
What does the study conclude about the P300 component and social inclusion?
The study concludes that there is an inverse relationship between target probability and P300 amplitude, suggesting that social inclusion affects neural processing, though it emphasizes that these results require careful interpretation due to statistical limitations.
- Quote paper
- Nina Becker (Author), 2011, Effects of continuous inclusion in a virtually played ball tossing game called Cyberball on the P300 event-related-potential, Munich, GRIN Verlag, https://www.hausarbeiten.de/document/183747
