Literature DB >> 9165508

Neurophysiological assessment of brain function and maturation: I. A measure of brain adaptation in high risk infants.

M S Scher1.   

Abstract

Neurophysiologic assessments using EEG/polysomnographic studies permit the clinician to recognize expected patterns of brain maturation in the healthy neonate. By comparison, one can detect encephalopathic behaviors of newborns who are medically at risk. Severe physiologic expressions of encephalopathy are associated with neuropathologic lesions on postmortem examinations, brain lesions documented on neuroimaging studies, and major neurodevelopmental sequelae of survivors. However, such patterns are observed for only a minority of high risk neonates; less severe encephalopathies occur more frequently in neonates without evidence of brain lesions on imaging studies who either recover from medical illness or who manifest no findings of neurological dysfunction. These subtle and persistent brain disorders are obviously more difficult to detect and grade. This is specifically relevant for preterm infants in whom various degrees of encephalopathy may exist, but whose physiologic behaviors must be distinguished form expected behavioral and neurophysiologic patterns of prematurity. Neonates may express brain dysfunction as altered rates of brain maturation, as compared with expected patterns for a given conceptional age. Neurophysiologic expressions of brain dysmaturity, either from prenatal and/or postnatal stresses, may actually occur in a substantially larger segment of the high risk neonatal population than has been anticipated. EEG-sleep studies can serve as a noninvasive neurophysiologic probe of brain organization and maturation to extend clinical observations to assess the severity and persistence of brain dysfunction in a neonate who may be at risk for later neurodevelopmental compromise.

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Year:  1997        PMID: 9165508     DOI: 10.1016/s0887-8994(97)00008-8

Source DB:  PubMed          Journal:  Pediatr Neurol        ISSN: 0887-8994            Impact factor:   3.372


  5 in total

1.  Prognostic value of EEG performed at term age in preterm infants.

Authors:  Teresa Randò; Daniela Ricci; Rita Luciano; M Flavia Frisone; Giovanni Baranello; Tania Tonelli; Marika Pane; Costantino Romagnoli; Giuseppe Tortorolo; Eugenio Mercuri; Francesco Guzzetta
Journal:  Childs Nerv Syst       Date:  2005-06-01       Impact factor: 1.475

2.  Physiologic brain dysmaturity in late preterm infants.

Authors:  Mark S Scher; Mark W Johnson; Susan M Ludington; Kenneth Loparo
Journal:  Pediatr Res       Date:  2011-11       Impact factor: 3.756

3.  Neurophysiologic assessment of brain maturation after an 8-week trial of skin-to-skin contact on preterm infants.

Authors:  Mark S Scher; Susan Ludington-Hoe; Farhad Kaffashi; Mark W Johnson; Diane Holditch-Davis; Kenneth A Loparo
Journal:  Clin Neurophysiol       Date:  2009-09-17       Impact factor: 3.708

4.  Bayesian assessment of newborn brain maturity from two-channel sleep electroencephalograms.

Authors:  Livija Jakaite; Vitaly Schetinin; Carsten Maple
Journal:  Comput Math Methods Med       Date:  2012-03-07       Impact factor: 2.238

5.  Applying a data-driven approach to quantify EEG maturational deviations in preterms with normal and abnormal neurodevelopmental outcomes.

Authors:  Kirubin Pillay; Anneleen Dereymaeker; Katrien Jansen; Gunnar Naulaers; Maarten De Vos
Journal:  Sci Rep       Date:  2020-04-29       Impact factor: 4.379

  5 in total

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