Maria Rubega
Affiliations: | Neurosciences | University of Geneva, Geneva, Switzerland |
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| Rubega M, Scarpa F, Teodori D, et al. (2020) Detection of Hypoglycemia Using Measures of EEG Complexity in Type 1 Diabetes Patients. Entropy (Basel, Switzerland). 22 |
| Glomb K, Mullier E, Carboni M, et al. (2020) Using structural connectivity to augment community structure in EEG functional connectivity. Network Neuroscience (Cambridge, Mass.). 4: 761-787 |
| Pascucci D, Rubega M, Plomp G. (2020) Modeling time-varying brain networks with a self-tuning optimized Kalman filter. Plos Computational Biology. 16: e1007566 |
| Carboni M, De Stefano P, Vorderwülbecke BJ, et al. (2020) Abnormal directed connectivity of resting state networks in focal epilepsy. Neuroimage. Clinical. 27: 102336 |
| Glomb K, Rué Queralt J, Pascucci D, et al. (2020) Connectome spectral analysis to track EEG task dynamics on a subsecond scale. Neuroimage. 221: 117137 |
| Damborská A, Honzírková E, Barteček R, et al. (2020) Altered directed functional connectivity of the right amygdala in depression: high-density EEG study. Scientific Reports. 10: 4398 |
| Toscano G, Carboni M, Rubega M, et al. (2020) Visual analysis of high density EEG: As good as electrical source imaging? Clinical Neurophysiology Practice. 5: 16-22 |
| Rubega M, Pascucci D, Queralt JR, et al. (2019) Time-varying effective EEG source connectivity: the optimization of model parameters. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2019: 6438-6441 |
| Rubega M, Carboni M, Seeber M, et al. (2018) Estimating EEG Source Dipole Orientation Based on Singular-value Decomposition for Connectivity Analysis. Brain Topography |
| Toscano G, Carboni M, Rubega M, et al. (2018) F180. The effectiveness of high-density EEG visual analysis and electrical source imaging in detecting the epileptogenic zone in focal epilepsy Clinical Neurophysiology. 129: e136 |