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Neurophysiologic predictors of motor function in stroke.
Simis, Marcel; Doruk, Deniz; Imamura, Marta; Anghinah, Renato; Morales-Quezada, Leon; Fregni, Felipe; Battistella, Linamara Rizzo.
Afiliação
  • Simis M; Physical and Rehabilitation Medicine Institute of the University of Sao Paulo Medical School General Hospital, Brazil.
  • Doruk D; Laboratory of Neuromodulation, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • Imamura M; Laboratory of Neuromodulation, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • Anghinah R; Physical and Rehabilitation Medicine Institute of the University of Sao Paulo Medical School General Hospital, Brazil.
  • Morales-Quezada L; Physical and Rehabilitation Medicine Institute of the University of Sao Paulo Medical School General Hospital, Brazil.
  • Fregni F; Laboratory of Neuromodulation, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • Battistella LR; Physical and Rehabilitation Medicine Institute of the University of Sao Paulo Medical School General Hospital, Brazil.
Restor Neurol Neurosci ; 34(1): 45-54, 2016.
Article em En | MEDLINE | ID: mdl-26518670
PURPOSE: Understanding the neural mechanisms of stroke recovery is of paramount importance for neurorehabilitation. METHODS: For this purpose, we analyzed several TMS and EEG variables and their association with motor recovery. Thirty-five subjects with chronic stroke were recruited. The neurophysiological examination included assessments by transcranial magnetic stimulation (TMS), intra- and inter-hemispheric EEG coherence in different frequency bands (e.g. alpha (8-13 Hz)) as determined by quantitative electroencephalography (qEEG). Motor function was measured by Fugl-Meyer (FM). Multiple univariate and multivariate linear regression analyses were performed to identify the predictors for FM. RESULTS: Multivariate analyses, showed a significant interaction effect of motor threshold (MT) in the lesioned hemisphere and beta coherence in the unlesioned hemisphere. This interaction suggests that higher beta activity in the unlesioned hemisphere strengthens the negative association between MT and FM scores. CONCLUSIONS: Our results suggest that MT in the lesioned hemisphere is the strongest predictors of motor recovery after stroke. Moreover, cortical activity in the unlesioned hemisphere measured by qEEG provides additional information, specifying the association between MT and FM scores. Therefore, complementary application of EEG and TMS can help constitute a better model of the lesioned and the unlesioned hemispheres that supports the importance of bihemispheric activity in recovery.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Acidente Vascular Cerebral / Eletroencefalografia / Estimulação Magnética Transcraniana / Atividade Motora Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: Restor Neurol Neurosci Assunto da revista: NEUROLOGIA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Acidente Vascular Cerebral / Eletroencefalografia / Estimulação Magnética Transcraniana / Atividade Motora Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: Restor Neurol Neurosci Assunto da revista: NEUROLOGIA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda