Kinematic and neurophysiological consequences of an assisted-force-feedback brain-machine interface training: A case study

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dc.contributor.authorSilvoni, Stefano
dc.contributor.authorCavinato, Marianna
dc.contributor.authorVolpato, Chiara
dc.contributor.authorCisotto, Giulia
dc.contributor.authorGenna, Clara
dc.contributor.authorAgostini, Michela
dc.contributor.authorTurolla, Andrea
dc.contributor.authorRamos-Murguialday, Ander
dc.contributor.authorPiccione, Francesco
dc.contributor.institutionMedical Technologies
dc.date.accessioned2024-07-24T12:08:51Z
dc.date.available2024-07-24T12:08:51Z
dc.date.issued2013
dc.description.abstractIn 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.en
dc.description.statusPeer reviewed
dc.identifier.citationSilvoni , S , Cavinato , M , Volpato , C , Cisotto , G , Genna , C , Agostini , M , Turolla , A , Ramos-Murguialday , A & Piccione , F 2013 , ' Kinematic and neurophysiological consequences of an assisted-force-feedback brain-machine interface training : A case study ' , Frontiers in Neurology , vol. 4 NOV , Article 173 . https://doi.org/10.3389/fneur.2013.00173
dc.identifier.doi10.3389/fneur.2013.00173
dc.identifier.issn1664-2295
dc.identifier.urihttps://hdl.handle.net/11556/3912
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84889648541&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofFrontiers in Neurology
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsAssisted-force-feedback
dc.subject.keywordsbrain-machine interface
dc.subject.keywordsMotor-training
dc.subject.keywordsOperant learning
dc.subject.keywordsProprioception
dc.subject.keywordsNeurology
dc.subject.keywordsNeurology (clinical)
dc.titleKinematic and neurophysiological consequences of an assisted-force-feedback brain-machine interface training: A case studyen
dc.typejournal article
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