A periodic cerebral rhythm in newborn infants

Parmelee, Arthur H.; Akiyama, Yoshio; Stern, Evelyn; Harris, Margaret

doi:10.1016/0014-4886(69)90100-9

Cited by 48 publications

(22 citation statements)

References 9 publications

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“…For ChAT enzyme, Romijn et al relied on the studies of Brooksbank et al (1981) and Patel et al (1978) to determine that a PND 20.4 rat has levels of ChAT comparable to that of a newborn human. Electrical activity typical of active sleep and quiet sleep appear at about 35-37 weeks of gestation in the human as reported by Parmelee et al (1969), Dreyfus-Brisac (1970), Prechtl (1974), andPaul et al (1980). In comparison, the rat exhibits these electrical patterns on an EEG between PND 12-13 (JouvetMournier et al, 1970;Gramsbergen, 1974Gramsbergen, , 1976Gramsbergen et al, 1980).…”

Section: Perinatal Capabilities In Humans and Experimental Animalsmentioning

confidence: 61%

Postnatal growth and morphological development of the brain: a species comparison

et al. 2006

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The objective of this report is to summarize the available literature regarding the postnatal growth and morphological development of the brain and compare the timelines for these events between humans and experimental species. While not the primary focus of this report, in acknowledgement of the evident role of maturation of neurotransmitter systems in development, a brief description of the comparative development of the NMDA receptor is included. To illustrate the challenges faced in estimating developmental toxicity potential in humans, the importance of postnatal experience in CNS development is also briefly reviewed. This review is part of the initial phase of a project undertaken by the Developmental and Reproductive Toxicology Technical Committee of the ILSI Health and Environmental Sciences Institute (HESI) to bring together information on a selected number of organ systems and compare their postnatal development across several species (Hurtt and Sandler: Birth Defects Res Part B 68:307-308, 2003).

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Section: Perinatal Capabilities In Humans and Experimental Animalsmentioning

confidence: 61%

Postnatal growth and morphological development of the brain: a species comparison

et al. 2006

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“…EEG recordings have been used traditionally in neonates to detect cerebral dysfunction from their characteristic patterns [1]. They are also used to study the neurological maturation based on the evolution of discontinuous brain patterns, namely, tracé discontinue (TD) or tracé alternant (TA) and continuous brain patterns.…”

Section: Introductionmentioning

confidence: 99%

Detection of Discontinuous Patterns in Spontaneous Brain Activity of Neonates and Fetuses

Eswaran

Haddad

Rose

et al. 2009

IEEE Trans. Biomed. Eng.

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The discontinuous patterns in neonatal magnetoencephalographic (MEG) data are quantified with a novel Hilbert phase (HP) based approach. The expert neurologists' scores were used as the gold standard. The performance of this approach was analyzed using a receiver operating characteristic (ROC) curve, and it was compared with two other approaches, namely spectral ratio (SR) and discrete wavelet transform (DWT) that have been proposed for the detection of discontinuous patterns in neonatal EEG. The area under the ROC curve (AUC) was used as a performance measure. AUCs obtained for SR, HP, and DWT were 0.87, 0.80, and 0.56, respectively. Although the performance of HP was lower than SR, it carries information about the frequency content of the signal that helps to distinguish brain patterns from artifacts such as cardiac residuals. Based on this property, the HP approach was extended to fetal MEG data. Further, using the frequency property of the HP approach,

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“…brain disorders. Seminal studies of EEG-sleep recordings of newborns began over 50 years ago and have emphasized the recognition of severe EEG abnormalities such as suppressionburst and seizure patterns in a minority of high-risk neonates (Anders et al, 1971;Anders and Keener, 1985;DreyfusBrisac, 1964;Ellingson, 1960;Kellaway and Petersen, 1964;Lombroso, 1979;Okamato and Kirikae, 1951;Parmelee, 1969;Pope et al, 1992;Watanabe and Iwase, 1972). Scher (1997a, b) more recently suggested, however, that severe EEG patterns reflect significant brain disorders for only a minority of neonatal patients.…”

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confidence: 97%

Automated State Analyses: Proposed Applications to Neonatal Neurointensive Care

Scher¹,

Turnbull²,

Loparo³

et al. 2005

Journal of Clinical Neurophysiology

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The two principal challenges of neonatal physiologic monitoring device are: (1) the development of computational strategies that consider the rudimentary forms of neonatal sleep state especially for preterm infants and (2) any physiologic monitoring device for clinical applications in a neonatal intensive care setting must be small, portable, and user-friendly. Our multicenter neonatal sleep consortium has acquired more than 1,100 multihour EEG-sleep recordings on over 370 neonates, ranging from 24 to 44 weeks gestation. Each recording was visually-scored for state, arousals, movements, and rapid eye movements, which were used as templates when applying spectral analyses. The authors have defined a brain dysmaturity index to represent functional brain reorganization as the prenate matures to a full-term age; delayed or accelerated physiologic behaviors have been described for the preterm cohort when compared to the full-term group at the same postmenstrual age. Seven EEG-sleep measures comprise this index: quiet sleep percentage, sleep cycle length, rapid eye movements, arousals, spectral beta EEG energies, spectral EEG correlations, and a spectral measure of respiratory regularity. Linear and nonlinear computational algorithms are being developed to automate the computation of the dysmaturity index and to identify new feature types that correlate with dysmaturity. Automated neonatal sleep monitoring system can potentially improve neonatal neurointensive care by facilitating analyses of pervasive neonatal brain disorders expressed primarily as altered sleep state organization, and help predict altered developmental trajectories of children at higher risk for neurologic sequelae.

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A periodic cerebral rhythm in newborn infants

Cited by 48 publications

References 9 publications

Postnatal growth and morphological development of the brain: a species comparison

Postnatal growth and morphological development of the brain: a species comparison

Detection of Discontinuous Patterns in Spontaneous Brain Activity of Neonates and Fetuses

Automated State Analyses: Proposed Applications to Neonatal Neurointensive Care

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