To evaluate the influence ofMotor Imagery (MI) training assisted via Brain Computer Interface (BCI) on brain network organization in subacute stroke patients. We analyzed EEG-derived brain networks estimated before and after two training strategies (with and without BCI support); correlations between connectivity indices and clinical improvement were performed. Twenty-eight subacute stroke patients were enrolled and assigned to two groups: 14 patients underwent a one-month motor imagery (MI) training supported by a sensorimotor–based BCI (BCI group) while 14 underwent a similar MI training without BCI support (CTRL group). Before and after training we recorded EEG from 61 positions during 5 min of rest. Effective connectivity was computed by means of Partial Directed Coherence. Paired sample t-tests and Pearson’s Correlation were employed to analyze data (significance was defined by p < .05). Reinforcement of Interhemispheric Connections were observed in both groups (p < .05), with a different between-group behavior with respect to EEG frequency bands (beta/gamma and theta/alpha frequency bands for the BCI and CTRL group, respectively). Increased ipsilesional connectivity correlated with clinical improvement as measured by the Fugl-Mayer scale in the BCI group only (R = 0.568, p = 0.034). Overall findings indicate that MI training supported via BCI induces a reinforcement of interhemispheric connections related to sensorimotor rhythms; brain connectivity is a promising neurophysiological marker for BCI training efficacy in stroke rehabilitation. This work was partially supported by the European ICT Programme Project FP7-224631 and by the project ‘‘Brain Computer Interface-Driven Rehabilitation After Stroke: An Add-On Intervention For Hand Motor Recovery’’ (RF-2010-2319611) founded by the Italian Ministry of Healthcare

9. Brain network modulation following motor imagery BCI-assisted training after stroke / Pichiorri, Floriana; Petti, Manuela; Morone, G.; Molinari, M.; Astolfi, Laura; Cincotti, Febo; Inghilleri, Maurizio; Mattia, D.. - In: CLINICAL NEUROPHYSIOLOGY. - ISSN 1388-2457. - 126:1(2015), p. e3. ((Intervento presentato al convegno 59th National Congress of SINC, Società Italiana di Neurofisiologia Clinica tenutosi a Milan [10.1016/j.clinph.2014.10.028].

9. Brain network modulation following motor imagery BCI-assisted training after stroke

PICHIORRI, FLORIANA;PETTI, MANUELA;ASTOLFI, LAURA;CINCOTTI, FEBO;INGHILLERI, Maurizio;
2015

Abstract

To evaluate the influence ofMotor Imagery (MI) training assisted via Brain Computer Interface (BCI) on brain network organization in subacute stroke patients. We analyzed EEG-derived brain networks estimated before and after two training strategies (with and without BCI support); correlations between connectivity indices and clinical improvement were performed. Twenty-eight subacute stroke patients were enrolled and assigned to two groups: 14 patients underwent a one-month motor imagery (MI) training supported by a sensorimotor–based BCI (BCI group) while 14 underwent a similar MI training without BCI support (CTRL group). Before and after training we recorded EEG from 61 positions during 5 min of rest. Effective connectivity was computed by means of Partial Directed Coherence. Paired sample t-tests and Pearson’s Correlation were employed to analyze data (significance was defined by p < .05). Reinforcement of Interhemispheric Connections were observed in both groups (p < .05), with a different between-group behavior with respect to EEG frequency bands (beta/gamma and theta/alpha frequency bands for the BCI and CTRL group, respectively). Increased ipsilesional connectivity correlated with clinical improvement as measured by the Fugl-Mayer scale in the BCI group only (R = 0.568, p = 0.034). Overall findings indicate that MI training supported via BCI induces a reinforcement of interhemispheric connections related to sensorimotor rhythms; brain connectivity is a promising neurophysiological marker for BCI training efficacy in stroke rehabilitation. This work was partially supported by the European ICT Programme Project FP7-224631 and by the project ‘‘Brain Computer Interface-Driven Rehabilitation After Stroke: An Add-On Intervention For Hand Motor Recovery’’ (RF-2010-2319611) founded by the Italian Ministry of Healthcare
59th National Congress of SINC, Società Italiana di Neurofisiologia Clinica
04 Pubblicazione in atti di convegno::04d Abstract in atti di convegno
9. Brain network modulation following motor imagery BCI-assisted training after stroke / Pichiorri, Floriana; Petti, Manuela; Morone, G.; Molinari, M.; Astolfi, Laura; Cincotti, Febo; Inghilleri, Maurizio; Mattia, D.. - In: CLINICAL NEUROPHYSIOLOGY. - ISSN 1388-2457. - 126:1(2015), p. e3. ((Intervento presentato al convegno 59th National Congress of SINC, Società Italiana di Neurofisiologia Clinica tenutosi a Milan [10.1016/j.clinph.2014.10.028].
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/874750
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact