The MATLAB toolbox for MEG, EEG and iEEG analysis

Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level commands tailored to neuroimaging analysis.

MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data

SIFT is an EEGLAB-compatible toolbox for analysis and visualization of multivariate causality and information flow between sources of electrophysiological (EEG/ECoG/MEG) activity. It consists of a suite of command-line functions with an integrated Graphical User Interface for easy access to multiple features. There are currently six modules: dat…

Some tools for the extraction and plot of second-level ROI-to-ROI results from CONN Toolbox

Cerebrovascular Image Analysis - (Matlab) Toolkit

The asympPDC Package is a MATLAB and Octave package for Partial Directed Coherence (PDC) and Directed Transfer Function (DTF) estimation with asymptotic statistics, allied functions and routines for Granger Causality Test and results pretty plotting.

MATLAB Toolbox for estimating nonfractal connectivity and fractal connectivity

Multiple Constrained Minimum Variance (MCMV) beamformer

Source localization and connectivity analysis of high-density EEG data

Scripts to analyse "resting-state" and/or naturalistic viewing MEG data

Custom MATLAB code for Mostame et al. NeuroImage 2020 https://www.sciencedirect.com/science/article/pii/S1053811920305371?via%3Dihub

GitHub repository for the RTI Connext toolbox for Simulink DDS Blockset.

Load and plot Allen connectivity data in MATLAB

A MATLAB toolbox for HMMs, CHMMs & LSIMs in multi-channel data processing, modeling & classification

A compilation of MATLAB scripts for performing network-based corticokinematic coherence (CKC) analysis for EEG data recorded under repetitive hand movement stimulation.

Matlab and Python scripts for calculating functional coupling between time series data

GitHub for GraphVar

Detection of structural alterations in episodic migraine using a graph theory approach. This project was done in the scope of my Master's Thesis in Biomedical Engineering.