The aim of the study is to quantify individual changes in scalp connectivity patterns associated to the affected hand movement in stroke patients after a 1-month training based on BCIsupported motor imagery to improve upper limb motor recovery. To perform the statistical evaluation between pre- and post-training conditions at the single subject level, a resampling approach was applied to EEG datasets acquired from 12 stroke patients during the execution of a motor task with the stroke affected hand before and after the rehabilitative intervention. Significant patterns of the network reinforced after the training were extracted and a significant correlation was found between indices related to the reinforced pattern and the clinical outcome indicated by clinical scales.

BCI-assisted training for upper limb motor rehabilitation: estimation of effects on individual brain connectivity and motor functions / Petti, M.; Pichiorri, F.; Toppi, J.; Astolfi, L.; Cincotti, F.; Mattia, D.. - (2017), pp. 406-409. ((Intervento presentato al convegno 7th Graz Brain-Computer Interface Conference 2017 tenutosi a Graz; Austria [10.3217/978-3-85125-533-1-74].

BCI-assisted training for upper limb motor rehabilitation: estimation of effects on individual brain connectivity and motor functions

M. Petti
;
F. Pichiorri;J. Toppi;L. Astolfi;F. Cincotti;
2017

Abstract

The aim of the study is to quantify individual changes in scalp connectivity patterns associated to the affected hand movement in stroke patients after a 1-month training based on BCIsupported motor imagery to improve upper limb motor recovery. To perform the statistical evaluation between pre- and post-training conditions at the single subject level, a resampling approach was applied to EEG datasets acquired from 12 stroke patients during the execution of a motor task with the stroke affected hand before and after the rehabilitative intervention. Significant patterns of the network reinforced after the training were extracted and a significant correlation was found between indices related to the reinforced pattern and the clinical outcome indicated by clinical scales.
7th Graz Brain-Computer Interface Conference 2017
brain connectivity; EEG; stroke; BCI
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
BCI-assisted training for upper limb motor rehabilitation: estimation of effects on individual brain connectivity and motor functions / Petti, M.; Pichiorri, F.; Toppi, J.; Astolfi, L.; Cincotti, F.; Mattia, D.. - (2017), pp. 406-409. ((Intervento presentato al convegno 7th Graz Brain-Computer Interface Conference 2017 tenutosi a Graz; Austria [10.3217/978-3-85125-533-1-74].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1170712
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