Bioelectric brain maturation in fullterm infants and in healthy and pathological preterm infants at term post-menstrual age

Ferrari, Fabrizio; Torricelli, Assunta; Giustardi, A; Benatti, A; Bolzani, Roberto; Ori, Luca; Frigieri, G.

doi:10.1016/0378-3782(92)90006-3

Cited by 21 publications

(7 citation statements)

References 20 publications

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“…The thesis of Basar, that the spontaneous EEG is not only a simple`noise' but contains biological information (Ro È schke et al 1985, Basar 1985 is confirmed. Our data support the idea that developmental analysis of the spontaneous EEG is of physiological significance (Parmalee et al 1968, Clancy et al 1985, Bentele et al 1988, Biagioni et al 1994, 1996, 1999, Ferrari et al 1992, Cornwell et al 1993, 1998, Scher et al 1994b, 1995a, b, Breidbach et al 1998. As these physiological data are easily accessable and can be obtained directly from registration of physiological properties of the individual that has to be classified, the EEG method, furthermore, has practical advantages: It is easy to handle, can be performed in clinical routine and allows quantification of risk phenomena.…”

Section: Discussionsupporting

confidence: 90%

The meaning of character combination for the separation of EEG-data

et al. 2001

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Standard EEG risk evaluation works on scoring systems that use different types of questionnaires. Here, an alternative for SIDS (Sudden Infant Death Syndrome) risk detection is presented that is based exclusively on EEG data which possibly could substitute the procedure of questioning the parents and allow a direct qualification of the physiological disposition of the individual neonate: Using EEGcharacters an approved SIDS-case could be discriminated as well against the group of ªhealthyº infants as against the ªhigh-risk-groupº. The results of this study may confirm the evidence that the EEG analysis can be a promising approach to predict an increased SIDS risk.

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Section: Discussionsupporting

confidence: 90%

The meaning of character combination for the separation of EEG-data

et al. 2001

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“…The frequency spectrum was divided in the following bands: delta (0.5-4 Hz), theta (5-7 Hz), alpha (8)(9)(10)(11)(12)(13), beta (14-20 Hz). The absolute power (defined as the integral of all powers within the frequency band, expressed in V 2 ) was calculated from the transformed signal.…”

Section: Discussionmentioning

confidence: 99%

“…Its prognostic role in very premature infants, has been confirmed by several studies based on EEG visual inspection [10,11]. In less severe cases, due to the rapidity of changes in the third trimester of gestation, EEG markers of brain dysfunction have been difficult to establish simply by visual inspection [12][13][14].…”

Section: Introductionmentioning

confidence: 94%

Spectral analysis highlight developmental EEG changes in preterm infants without overt brain damage

Suppiej

Cainelli

Cappellari

et al. 2017

Neuroscience Letters

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“…Further, the stability of sleep-wake patterns in the neonatal period predicts later development (Thoman, Denenberg, Sieval, Zeidner, & Becker, 1981;Whitney & Thoman, 1993). EEG sleep measures at term and in healthy preterms are related to developmental outcome at up to 8 years (Cohen, Parmelee, Beckwith, & Sigman, 1986;Ferrari et al, 1992;Scher, Steppe, & Banks, 1994).…”

Section: Introductionmentioning

confidence: 99%

Prediction of 3-year developmental outcomes from sleep development over the preterm period

Holditch‐Davis

Belyea

Edwards

2005

Infant Behavior and Development

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This study explored whether the developmental status of 3-year-old prematurely born children could be predicted from the development of sleep-wake behaviors during the preterm period. Sleep-wake states were observed weekly in 71 preterms from the time they were no longer critically ill until term or discharge, and the general linear mixed model was used to model the development of preterm behaviors for both individuals and the group. At 3 years, the home environment and developmental status of 51 children was assessed. Individual infants' deviations from group slopes and intercepts of eight preterm sleep variables were used as predictors. Cluster analyses of the predictor variables were found to relate to Stanford-Binet IQ, language, and fine and gross motor abilities at 3 years post-term. Children in Cluster 4, which showed more rapid active sleep development, averaged higher IQs and better language and fine motor abilities than children in other clusters.

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Bioelectric brain maturation in fullterm infants and in healthy and pathological preterm infants at term post-menstrual age

Cited by 21 publications

References 20 publications

The meaning of character combination for the separation of EEG-data

The meaning of character combination for the separation of EEG-data

Spectral analysis highlight developmental EEG changes in preterm infants without overt brain damage

Prediction of 3-year developmental outcomes from sleep development over the preterm period

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