A Polygraphic Study of Bioelectrical Brain Maturation In Preterm Infants

Nolte, R.; Haas, G.

doi:10.1111/j.1469-8749.1978.tb15201.x

Cited by 33 publications

(4 citation statements)

References 18 publications

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“…These findings are consistent with those reported by others, who have described the development of EEG activity from intermittent recordings, predominantly during sleep. Assessment has been qualitative, by visual inspection and coding of the pattern or by power spectral analysis (Dreyfus-Brisac 1962, 1967Parmelee et al 1968;Sterman et al 1977;Nolte and Haas 1978). In this study the continuous record of the EEG over many days ensured adequate sampling during sleep and wakefulness and thus enabled a quantification of these changes.…”

Section: Discussionmentioning

confidence: 99%

“…Assessment has been qualitative, by visual inspection and coding of the pattern or by power spectral analysis (Dreyfus-Brisac 1962, 1967Parmelee et al 1968;Sterman et al 1977;Nolte and Haas 1978). The most striking change is that the EEG becomes more continuous; both the duration of each epoch and the total period of trace-alternant activity become less in 24-hour recordings.…”

Section: Discussionmentioning

confidence: 99%

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QUANTIFICATION OF CHANGES NORMAL NEONATAL EEGs WITH GESTATION FROM CONTINUOUS FIVE‐DAY RECORDINGS

Eyre

Nanei²,

Wilkinson

1988

Develop Med Child Neuro

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It is now possible to make a good-quality, continuous electroencephalogram (EEG) record of sick newborn babies receiving intensive care, from which seizure activity can be identified readily (Eyre et al. 1983a, b). The background EEG can be difficult to interpret, however, because it changes with increasing gestational age. In addition, there are cyclical changes in the EEG during sleep that are dependent not only on the baby's sleep state but also on the length of the preceding sleep epoch (Roffwarg et al. 1966, Eyre 1984. Therefore the normal pattern of the EEG cannot be described fully from intermittent, short records. The aim of this study was to describe the range of normal EEG activity at different gestational ages during the first five days after birth by analysing continuous recordings. Subjects and methodThis study of normal babies was approved by the Central Oxford Hospitals' Ethical Committee and informed consent was obtained from the parents. 25 babies were studied, 12 girls and 13 boys. They were all healthy, with no medical problems during the first five days. Their gestational ages ranged from 26 to 42 weeks and their birthweights from 990 to 4120g. All had a normal neurological examination and cerebral ultrasonogram at the beginning and end of the recording. All were examined at a postconceptional age of 18 months by an independent investigator and were found to be within the normal range for development, with no abnormal neurological signs.A small battery-powered four-channel tape-recorder was used to record two channels of EEG, one of electrocardiogram (ECG) and one of transthoracic impedence. The EEG record was bi-polar, F3-P3, and F4-P4, with an indifferent electrode placed on the scalp. The filter band-width was 0.5 to 1oc)Hz. A more detailed description of the recording technique has been published (Eyre et al. 1983a). The record was started within the first 24 hours after birth and continued, where possible, for five days. The EEG was analysed using two methods: ( 1 ) replay on an automatic visual-display unit with an amplification of 50pv/cm at 15cm/sec; and (2) the data were transcribed onto paper, using an inkjet recorder at a speed of lmm/sec and an amplification of 10pv/mm. EEG records associated with movement on the ECG or transthoracic impedance record were excluded from further analysis. The remaining EEG was subdivided into two distinct patterns, trace-alternant activity and continuous activity. Trace-alternant m 03 z 599

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

QUANTIFICATION OF CHANGES NORMAL NEONATAL EEGs WITH GESTATION FROM CONTINUOUS FIVE‐DAY RECORDINGS

Eyre

Nanei²,

Wilkinson

1988

Develop Med Child Neuro

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“…Normally, bioelectric brain activity matures in relation to the development of the fetal brain (Dreyfus-Brisac and Blanc 1956, Parmelee et al 1968, Nolte et al 1969, Nolte and Haas 1978. Retarded bioelectric brain maturity thus points to a dysfunction of the central nervous system (Schulte et al 1969a(Schulte et al , 1971Prechtl et.…”

Section: Bioelectric Brain Maturationmentioning

confidence: 99%

Behavioural Changes and Bioelectric Brain Maturation of Preterm and Fullterm Newborn Infants: a Polygraphic Study

Karch¹,

Rothe²,

Jurisch³

et al. 1982

Develop Med Child Neuro

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SUMMARY Fifty‐two preterm and fullterm infants requiring assisted ventilation were observed and examined polygraphically. In addition, 24 preterm infants without prenatal or perinatal complications and not needing assisted ventilation were examined polygraphically in order to validate a special method of differentiating sleep states and sleep cycles. State criteria were EEG records, eye movements and gross body movements. Using this evaluation method, all 14 low‐risk preterm infants showed stable sleep states and cycles, as did 16 of 23 high‐risk preterm and 10 of 15 high‐risk fullterm infants. 11 high‐risk preterm and fullterm infants were found to have extremely unstable sleep states, or were comatose. The EEG could not be evaluated in only one case. Infants requiring assisted ventilation showed the following changes in comparison with the infants who did not need ventilation: the percentage of quiet sleep increased significantly; the percentage of indeterminate sleep increased as a sign of more unstable behaviour; and the individual measurements of the recorded and observed variables showed wider variability. Bioelectric brain maturation decreased significantly with increasing risk among both preterm and fullterm infants given assisted ventilation. REŚUMÉ 52 nourrissons prématurés ou nés à terme ayant nécessité une ventilation assistée ont été observés et examinés polygraphiquement. De plus 24 prématurés sans complications prénatales ou périnatales et n'ayant pas nécessité une ventilation assistée, ont été examinés polygraphiquement pour valider une méthode particulière de differenciation des états et des cycles de sommeil Les critéres utilisés ont été les enregistrements EEG, les mouvements oculaires et les mouvements globaux du corps. En utilisant cette méthode d'evaluation il a pu étre constaté que tous les 24 prématurés à faible risque, 16 des 23 prématurés à haut risque ont présenté des cycles et des états de sommeil stable. Chez 11 nourrissons à haut risque, prématurés ou non, il a été trouvé un état de coma ou des états de sommeil instable. L'EEG n'a pas pu étre pratiqué dans un seul cas. Les modifications suivantes ont été observées chez les nourrissons ayant nécessité une ventilation assistée par comparaison avec les nourrissons n'ayant pas nécessité cette ventilation: le pourcentage de sommeil calme était accru significativement: l'augmentation du pourcentage de sommeil indéterminéétait signe d'un comportement plus instable; et les mesures individuelles des variables enregistrées et observées présentaient une plus grande variabilité. La maturation bioélectrique du cerveau décroit significativement avec l'accroissement du risque chez les nourrissons ayant nécessité une ventilation assistée, qu'ils aient été prématurés ou qu'ils soient nés à terme. ZUSAMMENFASSUNG Verhaltensänderungen und bioelektrische Hirnreifung bei Frühgeborenen und reifen Neugeborenen: eine polygraphische Studie 52 Frühgeborene und reife Neugeborene, die assistiert beatmet werden mußten, wurden beobachtet und polygraphisch untersu...

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“…Newborn EEG activity undergoes rapid developmental changes during the early weeks of life and a clinical EEG assessment is expected to determine the relative maturity of the EEG activity compared to an infant’s postmenstrual age (PMA) 7,15–17 . Given the importance of EEG for assessing brain function in preterm infants, it is notable how little data exists on the accuracy of an expert’s visual assessment of EEG maturity 18,19 . Clinical practice is based on the common belief that an experienced EEG reader would be able to assess EEG maturity with an accuracy of 2 weeks 15 …”

Section: Introductionmentioning

confidence: 99%

Reliability and accuracy of EEG interpretation for estimating age in preterm infants

Stevenson

Tataranno

Kamińska

et al. 2020

Ann Clin Transl Neurol

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Objectives To determine the accuracy of, and agreement among, EEG and aEEG readers’ estimation of maturity and a novel computational measure of functional brain age (FBA) in preterm infants. Methods Seven experts estimated the postmenstrual ages (PMA) in a cohort of recordings from preterm infants using cloud‐based review software. The FBA was calculated using a machine learning‐based algorithm. Error analysis was used to determine the accuracy of PMA assessments and intraclass correlation (ICC) was used to assess agreement between experts. Results EEG recordings from a PMA range 25 to 38 weeks were successfully interpreted. In 179 recordings from 62 infants interpreted by all human readers, there was moderate agreement between experts (aEEG ICC = 0.724; 95%CI:0.658–0.781 and EEG ICC = 0.517; 95%CI:0.311–0.664). In 149 recordings from 61 infants interpreted by all human readers and the FBA algorithm, random and systematic errors in visual interpretation of PMA were significantly higher than the computational FBA estimate. Tracking of maturation in individual infants showed stable FBA trajectories, but the trajectories of the experts’ PMA estimate were more likely to be obscured by random errors. The accuracy of visual interpretation of PMA estimation was compromised by neurodevelopmental outcome for both aEEG and EEG review. Interpretation Visual assessment of infant maturity is possible from the EEG or aEEG, with an average of human experts providing the highest accuracy. Tracking PMA of individual infants was hampered by errors in experts’ estimates. FBA provided the most accurate maturity assessment and has potential as a biomarker of early outcome.

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A Polygraphic Study of Bioelectrical Brain Maturation In Preterm Infants

Cited by 33 publications

References 18 publications

QUANTIFICATION OF CHANGES NORMAL NEONATAL EEGs WITH GESTATION FROM CONTINUOUS FIVE‐DAY RECORDINGS

QUANTIFICATION OF CHANGES NORMAL NEONATAL EEGs WITH GESTATION FROM CONTINUOUS FIVE‐DAY RECORDINGS

Behavioural Changes and Bioelectric Brain Maturation of Preterm and Fullterm Newborn Infants: a Polygraphic Study

Reliability and accuracy of EEG interpretation for estimating age in preterm infants

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