There are 5 repositories under functional-connectivity topic.
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
Framework for Information Theoretical analysis of Electrophysiological data and Statistics
A large-scale spiking model of the vision-related areas of macaque cortex.
Improving autism identification with multisite data via site-dependence minimisation and second-order functional connectivity (TMI, 2022)
Dynamical graphical models for multivariate time series data to estimate directed dynamic relationships in networks.
Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification
A GLM based approach to measure CFC
Collection of Matlab functions for denoising fMRI data
Supporting code for https://www.biorxiv.org/content/10.1101/796714v4
Connectome-based Hopfiled Neural Networks (fcHNN)
Functional connectivity and brain network analysis for motor imagery data in stroke patients
Methods for estimating time-varying functional connectivity (TVFC)
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters
Project repository of the Matters Arising commentary "Multivariate BWAS can be replicable with moderate sample sizes in some cases""
TMFC toolbox - a new SPM toolbox for whole-brain task-modulated functional connectivity (TMFC) analysis with user-friendly graphical interface.
Brainstorm plug-ins for MEG and EEG source imaging, including (1) maximum contrast beamformer (MCB) for the use in localization of brain sources, (2) spatiotemporal imaging of linearly-related source components (SILSC) for the use in identification of sources linearly correlated to the activity of a seed, and (3) beamformer-based imaging of phase-amplitude coupling (BIPAC) for the use in identification of sources coupled to seed activity.
Track and segment the dynamics of brain connectivity networks
Leading Eigenvector Dynamics Analysis Matlab Toolbox
A machine learning model to diagnose ADHD, using resting-state fMRI data.
Machine learning pipelines with K-fold cross-validation library for FC data
Data and codes supporting the manuscript "Dialogue mechanisms between astrocytic and neuronal networks: a whole-brain modelling approach" by Ali et al., 2025, PCBI.
Code for: "Flexible coordinator and switcher hubs for adaptive task control". Cocuzza et al., 2020 (In Press). Journal of Neuroscience.
TMFC toolbox - a new SPM toolbox for whole-brain task-modulated functional connectivity (TMFC) analysis with user-friendly graphical interface.
Work did at the end of my internship, based on Nastaran Hamedi et al. Detecting ADHD Based on Brain Functional Connectivity Using Resting-State MEG Signals
Materials and source code for my MSc thesis: "Studying Network Variants With Electroencephalography"
Benchmarks for functional connectivity estimators and FCEst Python package
BOLD signal deconvolution based on ridge regression. Can be used to calculate psycho-physiological interaction (PPI) at the neuronal level. Python and MATLAB functions recover neuronal time series, similar to the Parametric Empirical Bayes (PEB) approach implemented in SPM12 (spm_peb_ppi.m).
For local SC-FC subgraph extraction and counterfactual explanation.
Code to compute the Event-marked Windowed Communication (EWC) from neural time series.