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      Prognostic Value of EEG Microstates in Acute Stroke.

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          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.

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          Author and article information

          Journal
          Brain Topogr
          Brain topography
          Springer Nature
          1573-6792
          0896-0267
          May 25 2017
          Affiliations
          [1 ] Department of Neuroscience, Imaging and Clinical Sciences, "Gabriele d'Annunzio" University of Chieti-Pescara, via dei Vestini 31, 66100, Chieti, Italy. f.zappasodi@unich.it.
          [2 ] Institute for Advanced Biomedical Technologies, "Gabriele d'Annunzio" University of Chieti-Pescara, Chieti, Italy. f.zappasodi@unich.it.
          [3 ] Department of Neuroscience, Imaging and Clinical Sciences, "Gabriele d'Annunzio" University of Chieti-Pescara, via dei Vestini 31, 66100, Chieti, Italy.
          [4 ] Institute for Advanced Biomedical Technologies, "Gabriele d'Annunzio" University of Chieti-Pescara, Chieti, Italy.
          [5 ] Medical Statistics and Information Technology, Fatebenefratelli Foundation for Health Research and Education, AFaR Division, Rome, Italy.
          [6 ] Clinical Neurology, Campus Biomedico University of Rome, Rome, Italy.
          [7 ] Department of Geriatrics, Neurosciences & Orthopaedics, Institute of Neurology, Catholic University of Sacred Heart, Policlinic A. Gemelli Foundation, Rome, Italy.
          [8 ] Laboratory of Electrophysiology for Translational neuroScience (LET'S) - ISTC - CNR, at Department of Neuroscience, Fatebenefratelli Hospital, Rome, Italy.
          [9 ] IRCCS S. Raffaele-Pisana, Rome, Italy.
          Article
          10.1007/s10548-017-0572-0
          10.1007/s10548-017-0572-0
          28547185
          d2589337-20e1-459f-8de8-8494c0e6b337
          History

          Acute stroke,Electroencephalography (EEG),Microstates,Prognosis,Resting state

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