11 results on '"Silvoni, S"'
Search Results
2. Brain-computer interface in stroke: a review of progress
- Author
-
Silvoni, S, Ramos Murguialday, A, Cavinato, M, Volpato, C, Cisotto, G, Turolla, A, Piccione, F, Birbaumer, N, Silvoni S., Ramos Murguialday A., Cavinato M., Volpato C., CISOTTO, GIULIA, Turolla A., Piccione F., Birbaumer N., Silvoni, S, Ramos Murguialday, A, Cavinato, M, Volpato, C, Cisotto, G, Turolla, A, Piccione, F, Birbaumer, N, Silvoni S., Ramos Murguialday A., Cavinato M., Volpato C., CISOTTO, GIULIA, Turolla A., Piccione F., and Birbaumer N.
- Abstract
Brain-computer interface (BCI) technology has been used for rehabilitation after stroke and there are a number of reports involving stroke patients in BCI-feedback training. Most publications have demonstrated the efficacy of BCI technology in post-stroke rehabilitation using output devices such as Functional Electrical Stimulation, robot, and orthosis. The aim of this review is to focus on the progress of BCI-based rehabilitation strategies and to underline future challenges. A brief history of clinical BCI-approaches is presented focusing on stroke motor rehabilitation. A context for three approaches of a BCI-based motor rehabilitation program is outlined: the substitutive strategy, classical conditioning and operant conditioning. Furthermore, we include an overview of a pilot study concerning a new neuro-forcefeedback strategy. This pilot study involved healthy participants. Finally we address some challenges for future BCI-based rehabilitation.
- Published
- 2011
3. Tactile event-related potentials in amyotrophic lateral sclerosis (ALS): Implications for brain-computer interface
- Author
-
Silvoni, S., Konicar, L., Prats-Sedano, M.A., Garcia Cossio, E., Genna, C., Volpato, C., Cavinato, M., Paggiaro, A., Veser, S., De Massari, D., Birbaumer, N., Silvoni, S., Konicar, L., Prats-Sedano, M.A., Garcia Cossio, E., Genna, C., Volpato, C., Cavinato, M., Paggiaro, A., Veser, S., De Massari, D., and Birbaumer, N.
- Abstract
Contains fulltext : 150727.pdf (publisher's version ) (Closed access), Objective We investigated neurophysiological brain responses elicited by a tactile event-related potential paradigm in a sample of ALS patients. Underlying cognitive processes and neurophysiological signatures for brain-computer interface (BCI) are addressed. Methods We stimulated the palm of the hand in a group of fourteen ALS patients and a control group of ten healthy participants and recorded electroencephalographic signals in eyes-closed condition. Target and non-target brain responses were analyzed and classified offline. Classification errors served as the basis for neurophysiological brain response sub-grouping. Results A combined behavioral and quantitative neurophysiological analysis of sub-grouped data showed neither significant between-group differences, nor significant correlations between classification performance and the ALS patients’ clinical state. Taking sequential effects of stimuli presentation into account, analyses revealed mean classification errors of 19.4% and 24.3% in healthy participants and ALS patients respectively. Conclusions Neurophysiological correlates of tactile stimuli presentation are not altered by ALS. Tactile event-related potentials can be used to monitor attention level and task performance in ALS and may constitute a viable basis for future BCIs. Significance Implications for brain-computer interface implementation of the proposed method for patients in critical conditions, such as the late stage of ALS and the (completely) locked-in state, are discussed.
- Published
- 2016
4. Tactile event-related potentials in amyotrophic lateral sclerosis (ALS): Implications for brain-computer interface
- Author
-
Silvoni, S., Konicar, L., Prats-Sedano, M.A., Garcia Cossio, E., Genna, C., Volpato, C., Cavinato, M., Paggiaro, A., Veser, S., De Massari, D., Birbaumer, N., Silvoni, S., Konicar, L., Prats-Sedano, M.A., Garcia Cossio, E., Genna, C., Volpato, C., Cavinato, M., Paggiaro, A., Veser, S., De Massari, D., and Birbaumer, N.
- Abstract
Contains fulltext : 150727.pdf (publisher's version ) (Closed access), Objective We investigated neurophysiological brain responses elicited by a tactile event-related potential paradigm in a sample of ALS patients. Underlying cognitive processes and neurophysiological signatures for brain-computer interface (BCI) are addressed. Methods We stimulated the palm of the hand in a group of fourteen ALS patients and a control group of ten healthy participants and recorded electroencephalographic signals in eyes-closed condition. Target and non-target brain responses were analyzed and classified offline. Classification errors served as the basis for neurophysiological brain response sub-grouping. Results A combined behavioral and quantitative neurophysiological analysis of sub-grouped data showed neither significant between-group differences, nor significant correlations between classification performance and the ALS patients’ clinical state. Taking sequential effects of stimuli presentation into account, analyses revealed mean classification errors of 19.4% and 24.3% in healthy participants and ALS patients respectively. Conclusions Neurophysiological correlates of tactile stimuli presentation are not altered by ALS. Tactile event-related potentials can be used to monitor attention level and task performance in ALS and may constitute a viable basis for future BCIs. Significance Implications for brain-computer interface implementation of the proposed method for patients in critical conditions, such as the late stage of ALS and the (completely) locked-in state, are discussed.
- Published
- 2016
5. Tactile event-related potentials in amyotrophic lateral sclerosis (ALS): Implications for brain-computer interface
- Author
-
Silvoni, S., Konicar, L., Prats-Sedano, M.A., Garcia Cossio, E., Genna, C., Volpato, C., Cavinato, M., Paggiaro, A., Veser, S., De Massari, D., Birbaumer, N., Silvoni, S., Konicar, L., Prats-Sedano, M.A., Garcia Cossio, E., Genna, C., Volpato, C., Cavinato, M., Paggiaro, A., Veser, S., De Massari, D., and Birbaumer, N.
- Abstract
Contains fulltext : 150727.pdf (publisher's version ) (Closed access), Objective We investigated neurophysiological brain responses elicited by a tactile event-related potential paradigm in a sample of ALS patients. Underlying cognitive processes and neurophysiological signatures for brain-computer interface (BCI) are addressed. Methods We stimulated the palm of the hand in a group of fourteen ALS patients and a control group of ten healthy participants and recorded electroencephalographic signals in eyes-closed condition. Target and non-target brain responses were analyzed and classified offline. Classification errors served as the basis for neurophysiological brain response sub-grouping. Results A combined behavioral and quantitative neurophysiological analysis of sub-grouped data showed neither significant between-group differences, nor significant correlations between classification performance and the ALS patients’ clinical state. Taking sequential effects of stimuli presentation into account, analyses revealed mean classification errors of 19.4% and 24.3% in healthy participants and ALS patients respectively. Conclusions Neurophysiological correlates of tactile stimuli presentation are not altered by ALS. Tactile event-related potentials can be used to monitor attention level and task performance in ALS and may constitute a viable basis for future BCIs. Significance Implications for brain-computer interface implementation of the proposed method for patients in critical conditions, such as the late stage of ALS and the (completely) locked-in state, are discussed.
- Published
- 2016
6. Tactile event-related potentials in amyotrophic lateral sclerosis (ALS): Implications for brain-computer interface
- Author
-
Silvoni, S., Konicar, L., Prats-Sedano, M.A., Garcia Cossio, E., Genna, C., Volpato, C., Cavinato, M., Paggiaro, A., Veser, S., De Massari, D., Birbaumer, N., Silvoni, S., Konicar, L., Prats-Sedano, M.A., Garcia Cossio, E., Genna, C., Volpato, C., Cavinato, M., Paggiaro, A., Veser, S., De Massari, D., and Birbaumer, N.
- Abstract
Contains fulltext : 150727.pdf (publisher's version ) (Closed access), Objective We investigated neurophysiological brain responses elicited by a tactile event-related potential paradigm in a sample of ALS patients. Underlying cognitive processes and neurophysiological signatures for brain-computer interface (BCI) are addressed. Methods We stimulated the palm of the hand in a group of fourteen ALS patients and a control group of ten healthy participants and recorded electroencephalographic signals in eyes-closed condition. Target and non-target brain responses were analyzed and classified offline. Classification errors served as the basis for neurophysiological brain response sub-grouping. Results A combined behavioral and quantitative neurophysiological analysis of sub-grouped data showed neither significant between-group differences, nor significant correlations between classification performance and the ALS patients’ clinical state. Taking sequential effects of stimuli presentation into account, analyses revealed mean classification errors of 19.4% and 24.3% in healthy participants and ALS patients respectively. Conclusions Neurophysiological correlates of tactile stimuli presentation are not altered by ALS. Tactile event-related potentials can be used to monitor attention level and task performance in ALS and may constitute a viable basis for future BCIs. Significance Implications for brain-computer interface implementation of the proposed method for patients in critical conditions, such as the late stage of ALS and the (completely) locked-in state, are discussed.
- Published
- 2016
7. Tactile event-related potentials in amyotrophic lateral sclerosis (ALS): Implications for brain-computer interface.
- Author
-
Silvoni, S. and Silvoni, S.
- Subjects
- Cognitive artificial intelligence., DI-BCB_DCC_Theme 4: Brain Networks and Neuronal Communication.
- Published
- 2016
8. Kinematic and neurophysiological consequences of an assisted-force-feedback brain-machine interface training: a case study
- Author
-
Silvoni, S, Cavinato, M, Volpato, C, Cisotto, G, Genna, C, Agostini, M, Turolla, A, Ramos Murguialday, A, Piccione, F, Silvoni, S, Cavinato, M, Volpato, C, Cisotto, G, Genna, C, Agostini, M, Turolla, A, Ramos Murguialday, A, and Piccione, F
- Abstract
In a proof-of-principle prototypical demonstration we describe a new type of brain-machine interface (BMI) paradigm for upper limb motor-training. The proposed technique allows a fast contingent and proportionally modulated stimulation of afferent proprioceptive and motor output neural pathways using operant learning. Continuous and immediate assisted-feedback of force proportional to rolandic rhythm oscillations during actual movements was employed and illustrated with a single case experiment. One hemiplegic patient was trained for 2 weeks coupling somatosensory brain oscillations with force-field control during a robot-mediated center-out motor-task whose execution approaches movements of everyday life. The robot facilitated actual movements adding a modulated force directed to the target, thus providing a non-delayed proprioceptive feedback. Neuro-electric, kinematic, and motor-behavioral measures were recorded in pre- and post-assessments without force assistance. Patient's healthy arm was used as control since neither a placebo control was possible nor other control conditions. We observed a generalized and significant kinematic improvement in the affected arm and a spatial accuracy improvement in both arms, together with an increase and focalization of the somatosensory rhythm changes used to provide assisted-force-feedback. The interpretation of the neurophysiological and kinematic evidences reported here is strictly related to the repetition of the motor-task and the presence of the assisted-force-feedback. Results are described as systematic observations only, without firm conclusions about the effectiveness of the methodology. In this prototypical view, the design of appropriate control conditions is discussed. This study presents a novel operant-learning-based BMI-application for motor-training coupling brain oscillations and force feedback during an actual movement.
- Published
- 2013
9. Comparison of Vibro-tactile ERPs Classification Methods
- Author
-
Silvoni, S, Genna, C, Cisotto, G, Cavinato, M, Volpato, C, De Massari, D, Cattin, D, Silvoni Stefano, Genna Clara, Cisotto Giulia, Cavinato Marianna, Volpato Chiara, De Massari Daniele, Cattin Davide, Silvoni, S, Genna, C, Cisotto, G, Cavinato, M, Volpato, C, De Massari, D, Cattin, D, Silvoni Stefano, Genna Clara, Cisotto Giulia, Cavinato Marianna, Volpato Chiara, De Massari Daniele, and Cattin Davide
- Abstract
Vibro-tactile ERPs were recorded using whole hand stimulation in a classical odd-ball paradigm. Five different classification methods applied to single brain responses were compared off-line to perform a suboptimal selection of the algorithm for future on-line implementation of a brain-computer interface.
- Published
- 2013
10. Comparison of Vibro-tactile ERPs Classification Methods
- Author
-
Silvoni, S, Genna, C, Cisotto, G, Cavinato, M, Volpato, C, De Massari, D, Cattin, D, Silvoni Stefano, Genna Clara, Cisotto Giulia, Cavinato Marianna, Volpato Chiara, De Massari Daniele, Cattin Davide, Silvoni, S, Genna, C, Cisotto, G, Cavinato, M, Volpato, C, De Massari, D, Cattin, D, Silvoni Stefano, Genna Clara, Cisotto Giulia, Cavinato Marianna, Volpato Chiara, De Massari Daniele, and Cattin Davide
- Abstract
Vibro-tactile ERPs were recorded using whole hand stimulation in a classical odd-ball paradigm. Five different classification methods applied to single brain responses were compared off-line to perform a suboptimal selection of the algorithm for future on-line implementation of a brain-computer interface.
- Published
- 2013
11. Kinematic and neurophysiological consequences of an assisted-force-feedback brain-machine interface training: a case study
- Author
-
Silvoni, S, Cavinato, M, Volpato, C, Cisotto, G, Genna, C, Agostini, M, Turolla, A, Ramos Murguialday, A, Piccione, F, Silvoni, S, Cavinato, M, Volpato, C, Cisotto, G, Genna, C, Agostini, M, Turolla, A, Ramos Murguialday, A, and Piccione, F
- Abstract
In a proof-of-principle prototypical demonstration we describe a new type of brain-machine interface (BMI) paradigm for upper limb motor-training. The proposed technique allows a fast contingent and proportionally modulated stimulation of afferent proprioceptive and motor output neural pathways using operant learning. Continuous and immediate assisted-feedback of force proportional to rolandic rhythm oscillations during actual movements was employed and illustrated with a single case experiment. One hemiplegic patient was trained for 2 weeks coupling somatosensory brain oscillations with force-field control during a robot-mediated center-out motor-task whose execution approaches movements of everyday life. The robot facilitated actual movements adding a modulated force directed to the target, thus providing a non-delayed proprioceptive feedback. Neuro-electric, kinematic, and motor-behavioral measures were recorded in pre- and post-assessments without force assistance. Patient's healthy arm was used as control since neither a placebo control was possible nor other control conditions. We observed a generalized and significant kinematic improvement in the affected arm and a spatial accuracy improvement in both arms, together with an increase and focalization of the somatosensory rhythm changes used to provide assisted-force-feedback. The interpretation of the neurophysiological and kinematic evidences reported here is strictly related to the repetition of the motor-task and the presence of the assisted-force-feedback. Results are described as systematic observations only, without firm conclusions about the effectiveness of the methodology. In this prototypical view, the design of appropriate control conditions is discussed. This study presents a novel operant-learning-based BMI-application for motor-training coupling brain oscillations and force feedback during an actual movement.
- Published
- 2013
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