ASCT: Atlantis Source Connectivity Toolbox

for source-based connectivity on EEG/MEG signals

 

[sorry, the page is currently under development]


The Atlantis Source Connectivity Toolbox (ASCT) is an open-source software designed for a complete analysis of directional connectivity on EEG and MEG datasets. 

The toolbox covers the complete signal processing, from raw data import to connectivity statistics and visualization. After setting up the analysis, i.e., defining the experimental design and adjusting parameters, a fully automatic mode of operation is available. The process can still be supervised at all stages, with a number of log files and a data viewer. Importantly, to enable reliable analysis of our own data, we provide recommendations for the majority of parameters. Our method underwent extensive testing with real experimental data and also using simulated and realistic signals.

Installation:

ASCT works in Matlab environment. Download and unpack the archive.  Add the directories into the Matlab path. 

The ASCT requires FieldTrip to run. Other required toolboxes are shipped with the ASCT. Additionally for individual source models FreeSurfer is also required.

How to use:

The analysis is launched with the EX_SETUP file, where all the analysis parameters and experimental desgn are defined. Sample ExSetup files can be found in the /templates directory of the ASCT.
Currently supported data formats are: bdf, eeglab (EEG), ctf, itab (MEG).

Manual

The up-to-date manual is currently under construction and is planned to be usable in Q2 2025

References:

Acknowledgments

The project was supported by National Science Center (PL) and the Faculty of Philosophy, Jagiellonian University. Thank you!

Questions, suggestions and any kind of nice words can be sent to: m [dot] wyczesany [at the domain] uj.edu [finished with] pl

 

 

 

 

In memory of Adam Labaza, who greatly contributed to our works and passed away in 2021.