Background: Following an ischemic stroke a highly variable clinical outcome is commonly evident despite similar onset symptoms as well as lesion characteristics. The aim of this study was to identify indexes providing early prediction of functional recovery, in addition to clinical severity and lesion dimension at onset of stroke. Methods: In 32 patients, magnetoencephalographic (MEG) parameters collected in the acute phase (< 10 days from symptoms onset, T0) from affected (AH) and unaffected (UH) hemispheres at rest and evoked by sensory stimuli were evaluated in association with the clinical outcome in a stabilized phase (T1, median 7.8 months) classified with three levels: worsening, partial and full recovery. Results: Multiple multinomial logistic regression indicated AH gamma and UH delta band powers able to prognosticate clinical outcome at T1. After inclusion in this analysis, lesion volume had the strongest predictive ability, and UH delta band power remained as a predictive factor with a measurable cut-off, maximizing both sensitivity and specificity of the prediction: a patient with UH delta below cut-off would recover to some extent; a patient with UH delta above cut-off would have a probability of about 70% to worsen. Conclusions: MEG UH delta and AH gamma band powers were found to provide useful information about long-term outcome prognosis. Only the increase of delta band activity in the unaffected hemisphere contains information about the outcome in addition to the lesion volume. © 2007 Steinkopff Verlag.

Outcome prediction in acute monohemispheric stroke via magnetoencephalography / Tecchio, F.; Pasqualetti, P.; Zappasodi, F.; Tombini, M.; Lupoi, D.; Vernieri, F.; Rossini, P. M.. - In: JOURNAL OF NEUROLOGY. - ISSN 0340-5354. - 254:3(2007), pp. 296-305. [10.1007/s00415-006-0355-0]

Outcome prediction in acute monohemispheric stroke via magnetoencephalography

Pasqualetti P.;
2007

Abstract

Background: Following an ischemic stroke a highly variable clinical outcome is commonly evident despite similar onset symptoms as well as lesion characteristics. The aim of this study was to identify indexes providing early prediction of functional recovery, in addition to clinical severity and lesion dimension at onset of stroke. Methods: In 32 patients, magnetoencephalographic (MEG) parameters collected in the acute phase (< 10 days from symptoms onset, T0) from affected (AH) and unaffected (UH) hemispheres at rest and evoked by sensory stimuli were evaluated in association with the clinical outcome in a stabilized phase (T1, median 7.8 months) classified with three levels: worsening, partial and full recovery. Results: Multiple multinomial logistic regression indicated AH gamma and UH delta band powers able to prognosticate clinical outcome at T1. After inclusion in this analysis, lesion volume had the strongest predictive ability, and UH delta band power remained as a predictive factor with a measurable cut-off, maximizing both sensitivity and specificity of the prediction: a patient with UH delta below cut-off would recover to some extent; a patient with UH delta above cut-off would have a probability of about 70% to worsen. Conclusions: MEG UH delta and AH gamma band powers were found to provide useful information about long-term outcome prognosis. Only the increase of delta band activity in the unaffected hemisphere contains information about the outcome in addition to the lesion volume. © 2007 Steinkopff Verlag.
2007
Acute stroke; Clinical outcome; MEG; Middle cerebral artery (MCA); Prognostic indications
01 Pubblicazione su rivista::01a Articolo in rivista
Outcome prediction in acute monohemispheric stroke via magnetoencephalography / Tecchio, F.; Pasqualetti, P.; Zappasodi, F.; Tombini, M.; Lupoi, D.; Vernieri, F.; Rossini, P. M.. - In: JOURNAL OF NEUROLOGY. - ISSN 0340-5354. - 254:3(2007), pp. 296-305. [10.1007/s00415-006-0355-0]
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/11573/1481099
 Attenzione

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

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 50
  • ???jsp.display-item.citation.isi??? ND
social impact