Publications

(2024). Neuronal avalanches for eeg-based motor imagery BCI.

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(2024). Node-layer duality in networked systems. Nature Communications.

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(2024). Neuronal avalanches in temporal lobe epilepsy as a noninvasive diagnostic tool investigating large scale brain dynamics. Scientific Reports.

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(2024). Magnetoencephalography-based interpretable automated differential diagnosis in neurodegenerative diseases. medRxiv.

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(2024). Introducing the modularity graph: an application to brain functional networks. arXiv.

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(2024). Community Detection from Multiple Observations: from Product Graph Model to Brain Applications. arXiv.

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(2024). Dynamic reconfiguration of aperiodic brain activity supports cognitive functioning in epilepsy: a neural fingerprint identification. medRxiv.

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(2024). Geometric Neural Network based on Phase Space for BCI decoding. arXiv.

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(2024). HappyFeat—An interactive and efficient BCI framework for clinical applications. Software Impacts.

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(2024). Measuring neuronal avalanches to inform brain-computer interfaces. iScience.

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(2024). Intentional binding for noninvasive BCI control. Journal of Neural Engineering.

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(2023). Brain fingerprint is based on the aperiodic, scale-free, neuronal activity. NeuroImage.

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(2023). Electroencephalography and Magnetoencephalography. Machine Learning for Brain Disorders.

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(2022). Exploring strategies for multimodal BCIs in an enriched environment. 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).

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(2022). EEG as Signal on Graph: a Multilayer Network model for BCI applications. 2022 30th European Signal Processing Conference (EUSIPCO).

(2022). Functional connectivity ensemble method to enhance BCI performance (FUCONE). IEEE Transactions on Biomedical Engineering.

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(2022). Riemannian geometry for combining functional connectivity metrics and covariance in BCI. Software Impacts.

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(2021). Towards multimodal BCIs: the impact of peripheral control on motor cortex activity and sense of agency. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC).

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(2021). Ensemble learning based on functional connectivity and Riemannian geometry for robust workload estimation.

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(2021). Riemannian Geometry on Connectivity for Clinical BCI. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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(2021). A machine learning approach to screen for preclinical Alzheimer's disease. Neurobiology of Aging.

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(2021). Phase/Amplitude Synchronization of Brain Signals During Motor Imagery BCI Tasks. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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(2021). Network-based brain–computer interfaces: principles and applications. Journal of Neural Engineering.

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(2021). Improving J-divergence of brain connectivity states by graph Laplacian denoising. IEEE Transactions on Signal and Information Processing over Networks.

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(2021). BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks. Journal of Neural Engineering.

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(2020). Functional disconnection of associative cortical areas predicts performance during BCI training. NeuroImage.

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(2020). Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior. J. Neural Eng..

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(2019). EEG evidence of compensatory mechanisms in preclinical Alzheimer’s disease. Brain.

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(2019). Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface. International Journal of Neural Systems.

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(2019). Magnetoencephalography With Optically Pumped 4He Magnetometers at Ambient Temperature. IEEE transactions on medical imaging.

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(2018). Characterization of Mental States through Node Connectivity between Brain Signals. 2018 26th European Signal Processing Conference (EUSIPCO).

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(2017). Magnetocardiography measurements with $^textrm4$He vector optically pumped magnetometers at room temperature. Phys Med Biol.

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