Publications

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

DOI URL

(2024). One step towards gait-based Parkinson’s disease classification. Gait & Posture.

DOI URL

(2024). Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface. Ciaco - i6doc.com.

DOI URL

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

URL

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

DOI URL

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

DOI URL

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

DOI URL

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

DOI URL

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

DOI URL

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

DOI URL

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

URL

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

DOI URL

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

DOI URL

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

DOI URL

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

DOI URL

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

DOI URL

(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).

DOI

(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.

DOI

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

PDF DOI

(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).

DOI

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

PDF

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

DOI

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

PDF DOI

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

DOI

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

DOI URL

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

DOI

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

PDF DOI

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

PDF Project DOI

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

PDF Project DOI

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

PDF Project DOI

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

DOI

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

DOI

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

DOI

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

Project DOI