Exploration of a simultaneous fMRI and EEG time series dataset through the lens of dimensionality reduction techniques.
- utils.py
- atlases.py
- DataValidation.ipynb
- PCA_Exploration.ipynb
Hidden Markov Models
- HMM_Exploration.ipynb
Allen, E. A., E. Damaraju, T. Eichele, L. Wu, and V. D. Calhoun. “EEG Signatures of Dynamic Functional Network Connectivity States.” Brain Topography, February 22, 2017, 1–16. https://doi.org/10.1007/s10548-017-0546-2.
Gu S, Pasqualetti F, Cieslak M, et al. Controllability of structural brain networks. Nat Commun. 2015;6:8414. Published 2015 Oct 1. doi:10.1038/ncomms9414
Human cognition involves the dynamic integration of neural activity and neuromodulatory systems
Hunyadi, B., M. Woolrich, A. Quinn, D. Vidaurre, and M. De Vos. “A Dynamic System of Brain Networks Revealed by Fast Transient EEG Fluctuations and Their FMRI Correlates.” NeuroImage, October 1, 2018. https://doi.org/10.1016/j.neuroimage.2018.09.082.
Mapping the functional connectome traits of levels of consciousness
Preti, Maria Giulia, Thomas AW Bolton, and Dimitri Van De Ville. “The Dynamic Functional Connectome: State-of-the-Art and Perspectives.” NeuroImage, 2017. https://doi.org/10.1016/j.neuroimage.2016.12.061.
Vidaurre, Diego, Romesh Abeysuriya, Robert Becker, Andrew J. Quinn, Fidel Alfaro-Almagro, Stephen M. Smith, and Mark W. Woolrich. “Discovering Dynamic Brain Networks from Big Data in Rest and Task.” NeuroImage, June 29, 2017. https://doi.org/10.1016/j.neuroimage.2017.06.077.