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NOTE:

BioNeCT is no longer under active development. However, we recommend taking advantage of a new EEGLAB-compatible, group-level causal connectivity toolbox developed by our collaborator Makoto Miyakoshi (University of California, San Diego), which can be found here: https://github.com/sccn/groupSIFT. Questions regarding groupSIFT can be directed towards the EEGLAB mailing list (https://sccn.ucsd.edu/mailman/listinfo/eeglablist). Further details regarding groupSIFT can also be read in Loo et al., 2019.


Welcome to the Biomarker and Neural Connectivity Toolbox (BioNeCT)!

Introduction

This toolbox provides a cohesive platform for analyzing brain network connectivity in electroencephalography (EEG) recordings. BioNeCT allows researchers to quantify connectivity in the brain in both source and channel space through the use of various graph theory and spectral measures, including modularity, clustering coefficient, network efficiency, and many others. Most importantly, it allows for the comparison of neural connectivity between multiple subject groups through the use of machine learning classifiers, providing insight into possible underlying biomarkers.

Simply:

1) Feed your EEG data (source or channel space)

2) Design your experiments and experimental groups, desired time segments and frequency bands

3) Calculate dynamic brain connectivity using popular methods such as Coherence, Causality, and Phase Slope Index (and more to come!)

4) Extract graph theory measures

5) Train a classifier

6) Identify a biomarker

... All in BioNeCT!

Note: BioNeCT is not yet released, but we suggest registering so that we can keep you up to date on any news and updates regarding the release of the toolbox.

Features

  • Graphical User Interface

  • EEG Connectivity Analysis

    • Coherence, Causality, Phase Slope Index (and more to come!)

    • Graph Theory/Network measures

    • Visualization of network connectivity

  • Feature Ranking and Selection Methods

  • Data/Feature Exporting (Excel, Weka)

  • Machine-Learning Classifiers

System Requirements

  • MATLAB Environment. BioNeCT was developed in version 2012A, and has not been yet tested with previous versions. The toolbox also utilizes EEGLAB functions, and you can find the recommended Matlab version for these functions on the EEGLAB website.

Download

Check out the Downloads page for the most recent version of BioNeCT. Although BioNeCT is not yet released, we suggest registering on the Downloads page - this way we can keep you up to date on any news and updates regarding its release.

User Manuals

The user manual/tutorial will be available on the Downloads page, and will provide a walk-through and detailed explanation of various functions and methods used in the toolbox.

Contact Us

Check out our contact page here regarding any comments, questions, or to report a bug.