title: Outcome prediction in acute monohemispheric stroke via magnetoencephalography.
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.
authors.affiliation: Istituto di Scienze e Tecnologie della Cognizione (ISTC), CNR, Rome, Italy. franca.tecchio@istc.cnr.it
authors.forename: Franca
authors.initials: F
authors.lastname: Tecchio
authors.forename: Patrizio
authors.initials: P
authors.lastname: Pasqualetti
authors.forename: Filippo
authors.initials: F
authors.lastname: Zappasodi
authors.forename: Mario
authors.initials: M
authors.lastname: Tombini
authors.forename: Domenico
authors.initials: D
authors.lastname: Lupoi
authors.forename: Fabrizio
authors.initials: F
authors.lastname: Vernieri
authors.forename: Paolo Maria
authors.initials: PM
authors.lastname: Rossini
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001931:Brain Mapping; D005073:Evoked Potentials, Somatosensory / Q000502:physiology / Q000528:radiation effects; D005260:Female; D007839:Functional Laterality; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D015225:Magnetoencephalography; D008297:Male; D008875:Middle Aged; D017063:Outcome Assessment, Health Care; D011237:Predictive Value of Tests; D012372:ROC Curve; D012720:Severity of Illness Index; D018709:Statistics, Nonparametric; D020521:Stroke / Q000175:diagnosis* / Q000503:physiopathology*