FAQ

What is BioNeCT?

The Biomarker and Neural Connectivity Toolbox (BioNeCT) is designed to provide a coherent and effective method for researchers to analyze brain connectivity in EEG data. It utilizes both graph theory and spectral measures in order to quantify neural networks, and furthermore provides a method of comparing different subject groups to observe underlying between-group differences in network connectivity.

What sort of data can I use with this toolbox?

The toolbox is designed to run on cleaned and epoched EEG data, and can run on any number of channels or data size. Note that, however, EEG datasets with a low number of channels may lead to potentially uninformative and inaccurate network measures.

BioNeCT follows the EEGLAB processing pipeline, and thus is meant to be used with .set files created in EEGLAB.

Where/how can I download and run BioNeCT?

You can find the most recent version of the toolbox in the Downloads section.

What are the system requirements?

BioNeCT was created and tested in Matlab 2012A. The toolbox also utilizes functions from EEGLAB, whose current system requirements may be found at http://sccn.ucsd.edu/eeglab/.

Where/why was BioNeCT developed?

BioNeCT is being developed by researchers at the Semel Institute for Neuroscience and Human Behavior at the University of California, Los Angeles. There is no relationship with the toolbox and the Semel Institute or UCLA.

It was first developed as an in-house tool for observing brain connectivity in EEG recordings, and is now currently being expanded to be a flexible toolbox that can be used for analyzing EEG connectivity using a variety of methods.

How can I contact the developers?

Feel free to check out our Contact Us page if you have any comments, questions, or issues using the toolbox.