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This repository contains MATLAB and R scripts for analyzing EEG data and performing statistical tests on Inter-Subject Correlation (ISC) results from a study on neural synchronization in response to urban environments. It includes code for EEG preprocessing, ISC analysis, ANOVA, post-hoc tests, and result visualization.
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This repository contains the analysis scripts for our study on neural synchronization in response to various urban environments, including both EEG analysis and statistical analysis of the results.
Our research investigates how different urban environments (highways, boulevards, and parks) affect neural synchronization across individuals. We used EEG recordings and Inter-Subject Correlation (ISC) analysis to measure shared brain responses to urban environment videos, followed by statistical analysis to interpret the results.
EEG_preprocessing_and_ISC_analysis_scripts/: Contains MATLAB scripts for EEG and ISC analysis
step1_extractTriggers.m: Extract triggers and align them with EEG recordingsstep2_segmentation.m: Segment EEG data based on video stimulistep3_TemporalAlignment.m: Align EEG data temporallystep4_preprocessing.m: Preprocess EEG datastep5_isceeg_with_time_windows.m: Perform ISC analysisstep6_ISC_in_frequency_bands.m: Analyze ISC in different frequency bandsstep7_topoplots_in_delta.m: Generate topoplots for delta bandStatistical_analysis_scripts/: Contains R scripts for statistical analysis
Statistical_analysis_All_&_Frequency_bands.R: Perform ANOVA and post-hoc tests on ISC results. Generate plots for ISC resultsStatistical_analysis_Questionnaire.R: Analyze questionnaire dataFor EEG analysis:
For statistical analysis:
EEG_preprocessing_and_ISC_analysis_scripts/ folderStatistical_analysis_scripts/ folder:Statistical_analysis_All_&_Frequency_bands.R script - on the resulted data from the previous step (EEG and ISC)Selected from shared topics, language and repository description—not editorial ratings.
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Each participant's EEG data consists of three files:
PilotXX.eeg: This is the binary file that contains the raw EEG data. It stores the continuous voltage values recorded from each electrode over time.PilotXX.vhdr: This is the header file in plain text format. It contains metadata about the EEG recording, such as: recording parameters (e.g., sampling rate, number of channels, data format), channel labels and names, reference electrode information, recording start time and date, and links to the associated .eeg and .vmrk files.PilotXX.vmrk: This is the marker file in plain text format. It contains event markers or triggers that were recorded during the EEG session. These markers indicate when certain events occurred, such as the onset of a stimulus (e.g., start of a video), participant responses or actions, technical events (e.g., recording start/stop).These three files are interrelated and must be used together to properly interpret the EEG data. EEGLAB toolbox pop_loadbv function from the step1_extractTriggers.m script handles these file formats to load the data.
Questionnaire_responses_anonymized.xlsx contains participants' responses to questions about each urban environment (video) they watched during the experiment as well as to general questions about their preferences and experiences in urban environments.
Structure:
General: participants' responses to general questions about their preferences in urban environments.h_msk, b_msk, p_msk, h_spb, b_spb, p_spb: participants' responses to questions about urban environments they watched (highways, boulevards, parks).Questions: summary of responses (for all 6 environments) for each question about urban environments.Index, Indicies: technical sheets used during analysis.This repository contains MATLAB and Simulink files used in the "How to design motor controllers using Simscape Electrical" videos.
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