Prognostic Value of EEG Microstates in Acute Stroke

Filippo Zappasodi, Pierpaolo Croce, Alessandro Giordani, Giovanni Assenza, Nadia M. Giannantoni, Paolo Profice, Giuseppe Granata, Paolo Maria Rossini, Franca Tecchio

Risultato della ricerca: Contributo in rivistaArticolo in rivista

25 Citazioni (Scopus)

Abstract

Given the importance of neuronal plasticity in recovery from a stroke and the huge variability of recovery abilities in patients, we investigated neuronal activity in the acute phase to enhance information about the prognosis of recovery in the stabilized phase. We investigated the microstates in 47 patients who suffered a first-ever mono-lesional ischemic stroke in the middle cerebral artery territory and in 20 healthy control volunteers. Electroencephalographic (EEG) activity at rest with eyes closed was acquired between 2 and 10 days (T0) after ischemic attack. Objective criteria allowed for the selection of an optimal number of microstates. Clinical condition was quantified by the National Institute of Health Stroke Scale (NIHSS) both in acute (T0) and stabilized (T1, 5.4 ± 1.7 months) phases and Effective Recovery (ER) was calculated as (NIHSS(T1)-NIHSS(T0))/NIHSS(T0). The microstates A, B, C and D emerged as the most stable. In patients with a left lesion inducing a language impairment, microstate C topography differed from controls. Microstate D topography was different in patients with a right lesion inducing neglect symptoms. In patients, the C vs D microstate duration differed after both a left and a right lesion with respect to controls (C lower than D in left and D lower than C in right lesion). A preserved microstate B in acute phase correlated with a better effective recovery. A regression model indicated that the microstate B duration explained the 11% of ER variance. This first ever study of EEG microstates in acute stroke opens an interesting path to identify neuronal impairments with prognostic relevance, to develop enriched compensatory treatments to drive a better individual recovery.
Lingua originaleEnglish
pagine (da-a)698-710
Numero di pagine13
RivistaBrain Topography
Volume30
DOI
Stato di pubblicazionePubblicato - 2017

Keywords

  • Acute stroke
  • Anatomy
  • Electroencephalography (EEG)
  • Microstates
  • Neurology
  • Neurology (clinical)
  • Prognosis
  • Radiological and Ultrasound Technology
  • Radiology, Nuclear Medicine and Imaging
  • Resting state

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