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This repository contains the code used to analyze the data that supports the findings from the following publication:

This repository contains the code used to analyze the data that supports the findings from the following publication: Qianliang Li, Marius Zimmermann and Ivana Konvalinka. Two-brain microstates: A novel hyperscanning-EEG method for quantifying task-driven inter-brain asymmetry. Journal of Neuroscience Methods, 416, 2025. DOI: https://doi.org/10.1016/j.jneumeth.2024.110355.

DTU course management

Collection of Jupyter Notebooks for a variety of tasks

This collection contains the code used to analyze the data that supports the findings from the following publication:

Qianliang Li, Maya Coulson Theodorsen, Ivana Konvalinka, Kasper Eskelund, Karen-Inge Karstoft, Søren Bo Andersen and Tobias S Andersen. Resting-state EEG functional connectivity predicts post-traumatic stress disorder subtypes in veterans. Journal of Neural Engineering, 2022 (https://doi.org/10.1088/1741-2552/ac9aaf).