functional-connectivity

Easy and comprehensive assessment of predictive power, with support for neuroimaging features

A dynamic connectome mapping module in python.

A large-scale spiking model of the vision-related areas of macaque cortex.

Small Animal Magnetic Resonance Imaging via Python.

Dynamical graphical models for multivariate time series data to estimate directed dynamic relationships in networks.

Improving autism identification with multisite data via site-dependence minimisation and second-order functional connectivity

A GLM based approach to measure CFC

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

The neural basis of intelligence in fine-grained cortical topographies

Collection of Matlab functions for denoising fMRI data

Supporting code for https://www.biorxiv.org/content/10.1101/796714v4

Code to run and analyze fMRI study of somatosensory detection task

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.

a simple C++ graph analysis library

Between-network functional connectivity across frequency bins described in Küchenhoff et al. (2021).

A Quality Control database for the HCP resting-state scans

Analysis scripts used for the research project on the local and global functional connectivity of the medial temporal lobe including the amygdala ('A-MTL').

This is a repository of MATLAB codes accompanying the paper "Non-linear functional co-activations: directed, dynamic, and delayed"

Code for: "Flexible coordinator and switcher hubs for adaptive task control". Cocuzza et al., 2020 (In Press). Journal of Neuroscience.

Seed-based resting-state functional connectivity with Nilearn.