MATTIA, DONATELLA
MATTIA, DONATELLA
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
Adaptive learning in the detection of Movement Related Cortical Potentials improves usability of associative Brain-Computer Interfaces
2019 Colamarino, E.; Muceli, S.; Ibanez, J.; Mrachacz-Kersting, N.; Mattia, D.; Cincotti, F.; Farina, D.
An All-in-One BCI-Supported Motor Imagery Training Station: Validation in a Real Clinical Setting with Chronic Stroke Patients
2019 Pichiorri, F.; Colamarino, E.; Cincotti, F.; Mattia, D.
Automatic Selection of Control Features for Electroencephalography-Based Brain–Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm
2022 Colamarino, E.; Pichiorri, F.; Toppi, J.; Mattia, D.; Cincotti, F.
BCI-assisted Motor Imagery training to promote functional recovery in cervical Spinal Cord Injury patients: preliminary data
2021 Colamarino, Emma; Pichiorri, Floriana; Masciullo, Marcella; Tamburella, Federica; Pisotta, Iolanda; Scivoletto, Giorgio; Molinari, Marco; Cincotti, Febo; Mattia, Donatella
Bipolar filters improve usability of Brain-Computer Interface technology in post-stroke motor rehabilitation
2019 Colamarino, Emma; Pichiorri, Floriana; Mattia, Donatella; Cincotti, Febo
Brain connectivity networks at the basis of human attention components: An EEG study
2017 Anzolin, A.; Mattia, D.; Toppi, J.; Pichiorri, F.; Riccio, A.; Astolfi, L.
Brain-Computer Interface
2021 Pichiorri, Floriana; Colamarino, Emma; Mattia, Donatella
Brain-computer interface based motor and cognitive rehabilitation after stroke – state of the art, opportunity, and barriers: summary of the BCI Meeting 2016 in Asilomar
2017 Pichiorri, Floriana; Mrachacz kersting, Natalie; Molinari, Marco; Kleih, Sonja; Kübler, Andrea; Mattia, Donatella
Brain-computer interface technology for upper limb rehabilitation after stroke: a translational effort
2018 Pichiorri, Floriana; Colamarino, Emma; Cincotti, Febo; Mattia, Donatella
Community detection: Comparison among clustering algorithms and application to EEG-based brain networks
2017 Puxeddu, MARIA GRAZIA; Petti, M.; Pichiorri, Floriana; Cincotti, Febo; Mattia, D.; Astolfi, L.
Cortico-Muscular Coupling Allows to Discriminate Different Types of Upper Limb Movements
2022 de Seta, V.; Colamarino, E.; Cincotti, F.; Mattia, D.; Mongiardini, E.; Pichiorri, F.; Toppi, J.
Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients
2022 DE SETA, Valeria; Toppi, Jlenia; Colamarino, Emma; Molle, Rita; Castellani, Filippo; Cincotti, Febo; Mattia, Donatella; Pichiorri, Floriana
Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface
2021 Colamarino, Emma; de Seta, Valeria; Masciullo, Marcella; Cincotti, Febo; Mattia, Donatella; Pichiorri, Floriana; Toppi, Jlenia
Distinctive physiological muscle synergy patterns define the Box and Block Task execution as revealed by electromyographic features
2022 Colamarino, E.; de Seta, V.; Toppi, J.; Pichiorri, F.; Conforti, I.; Mileti, I.; Palermo, E.; Mattia, D.; Cincotti, F.
EEG source estimation accuracy in presence of simulated cortical lesions
2017 Caschera, S.; Petti, M.; Mattia, D.; Astolfi, L.
Electroencephalography (EEG)-Derived Markers to Measure Components of Attention Processing
2017 Anzolin, Alessandra; Astolfi, Laura; Toppi, Jlenia; Riccio, Angela; Pichiorri, Floriana; Cincotti, Febo; Mattia, Donatella
Estimating brain connectivity when few data points are available: Perspectives and limitations
2017 Antonacci, Yuri; Toppi, Jlenia; Caschera, Stefano; Anzolin, Alessandra; Mattia, Donatella; Astolfi, Laura
Estimation of brain connectivity through Artificial Neural Networks
2019 Antonacci, Yuri; Toppi, Jlenia; Mattia, Donatella; Pietrabissa, Antonio; Astolfi, Laura
Estimation of the cortical connectivity by high-resolution EEG and structural equation modeling: Simulations and application to finger tapping data
2005 Astolfi, Laura; Cincotti, Febo; Babiloni, Claudio; Carducci, Filippo; Basilisco, Alessandra; Rossini, Paolo M.; Salinari, Serenella; Mattia, Donatella; Cerutti, Sergio; Ben Dayan, D.; Lei, Ding; Ying, Ni; Bin, He; Babiloni, Fabio
Hand movements classification for a hybrid rehabilitative BCI: study on corticomuscular and intermuscular coherence
2021 de Seta, V.; Colamarino, E.; Pichiorri, F.; Toppi, J.; Masciullo, M.; Cincotti, F.; Mattia, D.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Adaptive learning in the detection of Movement Related Cortical Potentials improves usability of associative Brain-Computer Interfaces | 2019 | Colamarino, E.; Muceli, S.; Ibanez, J.; Mrachacz-Kersting, N.; Mattia, D.; Cincotti, F.; Farina, D. | |
| An All-in-One BCI-Supported Motor Imagery Training Station: Validation in a Real Clinical Setting with Chronic Stroke Patients | 2019 | Pichiorri, F.; Colamarino, E.; Cincotti, F.; Mattia, D. | |
| Automatic Selection of Control Features for Electroencephalography-Based Brain–Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm | 2022 | Colamarino, E.; Pichiorri, F.; Toppi, J.; Mattia, D.; Cincotti, F. | |
| BCI-assisted Motor Imagery training to promote functional recovery in cervical Spinal Cord Injury patients: preliminary data | 2021 | Colamarino, Emma; Pichiorri, Floriana; Masciullo, Marcella; Tamburella, Federica; Pisotta, Iolanda; Scivoletto, Giorgio; Molinari, Marco; Cincotti, Febo; Mattia, Donatella | |
| Bipolar filters improve usability of Brain-Computer Interface technology in post-stroke motor rehabilitation | 2019 | Colamarino, Emma; Pichiorri, Floriana; Mattia, Donatella; Cincotti, Febo | |
| Brain connectivity networks at the basis of human attention components: An EEG study | 2017 | Anzolin, A.; Mattia, D.; Toppi, J.; Pichiorri, F.; Riccio, A.; Astolfi, L. | |
| Brain-Computer Interface | 2021 | Pichiorri, Floriana; Colamarino, Emma; Mattia, Donatella | |
| Brain-computer interface based motor and cognitive rehabilitation after stroke – state of the art, opportunity, and barriers: summary of the BCI Meeting 2016 in Asilomar | 2017 | Pichiorri, Floriana; Mrachacz kersting, Natalie; Molinari, Marco; Kleih, Sonja; Kübler, Andrea; Mattia, Donatella | |
| Brain-computer interface technology for upper limb rehabilitation after stroke: a translational effort | 2018 | Pichiorri, Floriana; Colamarino, Emma; Cincotti, Febo; Mattia, Donatella | |
| Community detection: Comparison among clustering algorithms and application to EEG-based brain networks | 2017 | Puxeddu, MARIA GRAZIA; Petti, M.; Pichiorri, Floriana; Cincotti, Febo; Mattia, D.; Astolfi, L. | |
| Cortico-Muscular Coupling Allows to Discriminate Different Types of Upper Limb Movements | 2022 | de Seta, V.; Colamarino, E.; Cincotti, F.; Mattia, D.; Mongiardini, E.; Pichiorri, F.; Toppi, J. | |
| Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients | 2022 | DE SETA, Valeria; Toppi, Jlenia; Colamarino, Emma; Molle, Rita; Castellani, Filippo; Cincotti, Febo; Mattia, Donatella; Pichiorri, Floriana | |
| Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface | 2021 | Colamarino, Emma; de Seta, Valeria; Masciullo, Marcella; Cincotti, Febo; Mattia, Donatella; Pichiorri, Floriana; Toppi, Jlenia | |
| Distinctive physiological muscle synergy patterns define the Box and Block Task execution as revealed by electromyographic features | 2022 | Colamarino, E.; de Seta, V.; Toppi, J.; Pichiorri, F.; Conforti, I.; Mileti, I.; Palermo, E.; Mattia, D.; Cincotti, F. | |
| EEG source estimation accuracy in presence of simulated cortical lesions | 2017 | Caschera, S.; Petti, M.; Mattia, D.; Astolfi, L. | |
| Electroencephalography (EEG)-Derived Markers to Measure Components of Attention Processing | 2017 | Anzolin, Alessandra; Astolfi, Laura; Toppi, Jlenia; Riccio, Angela; Pichiorri, Floriana; Cincotti, Febo; Mattia, Donatella | |
| Estimating brain connectivity when few data points are available: Perspectives and limitations | 2017 | Antonacci, Yuri; Toppi, Jlenia; Caschera, Stefano; Anzolin, Alessandra; Mattia, Donatella; Astolfi, Laura | |
| Estimation of brain connectivity through Artificial Neural Networks | 2019 | Antonacci, Yuri; Toppi, Jlenia; Mattia, Donatella; Pietrabissa, Antonio; Astolfi, Laura | |
| Estimation of the cortical connectivity by high-resolution EEG and structural equation modeling: Simulations and application to finger tapping data | 2005 | Astolfi, Laura; Cincotti, Febo; Babiloni, Claudio; Carducci, Filippo; Basilisco, Alessandra; Rossini, Paolo M.; Salinari, Serenella; Mattia, Donatella; Cerutti, Sergio; Ben Dayan, D.; Lei, Ding; Ying, Ni; Bin, He; Babiloni, Fabio | |
| Hand movements classification for a hybrid rehabilitative BCI: study on corticomuscular and intermuscular coherence | 2021 | de Seta, V.; Colamarino, E.; Pichiorri, F.; Toppi, J.; Masciullo, M.; Cincotti, F.; Mattia, D. |