OBJECTIVE: To document the occurrence of genuine sleep stages in the early preterm babies, and to develop an EEG-based index for following sleep wake cyclicity. METHODS: Twelve preterm babies were recruited from a study that assessed ventilator strategies. We used altogether 18 polysomnography recordings that were collected at mean conceptional age of 29.3 (25.9-32.7) weeks. Spontaneous activity transients (SAT) were detected automatically and their cumulative coverage in each 20s interval was computed from the EEG derivations C3-A2 and O2-A1. Mean SAT% values between sleep stages were compared. RESULTS: All babies exhibited all sleep stages, however the sleep was remarkably fragmentary in infants due to their respiratory issues. The EEG index, SAT% showed temporal behavior that strikingly well compared with the sleep stage fluctuations in the hypnogram. In the statistical analysis we found significant differences in all recordings between the deep (quiet) sleep and the REM sleep. CONCLUSION: Genuine sleep states exist in the early preterm babies, and changes in sleep stages are reflected in the EEG activity in a way that can be readily measured by assessing fluctuation of the automatically detected, EEG based index, the SAT%. SIGNIFICANCE: The findings open a possibility to construct automated analysis or monitoring of sleep wake cyclicity into brain monitors in neonatal intensive care unit.
OBJECTIVE: To document the occurrence of genuine sleep stages in the early preterm babies, and to develop an EEG-based index for following sleep wake cyclicity. METHODS: Twelve preterm babies were recruited from a study that assessed ventilator strategies. We used altogether 18 polysomnography recordings that were collected at mean conceptional age of 29.3 (25.9-32.7) weeks. Spontaneous activity transients (SAT) were detected automatically and their cumulative coverage in each 20s interval was computed from the EEG derivations C3-A2 and O2-A1. Mean SAT% values between sleep stages were compared. RESULTS: All babies exhibited all sleep stages, however the sleep was remarkably fragmentary in infants due to their respiratory issues. The EEG index, SAT% showed temporal behavior that strikingly well compared with the sleep stage fluctuations in the hypnogram. In the statistical analysis we found significant differences in all recordings between the deep (quiet) sleep and the REM sleep. CONCLUSION: Genuine sleep states exist in the early preterm babies, and changes in sleep stages are reflected in the EEG activity in a way that can be readily measured by assessing fluctuation of the automatically detected, EEG based index, the SAT%. SIGNIFICANCE: The findings open a possibility to construct automated analysis or monitoring of sleep wake cyclicity into brain monitors in neonatal intensive care unit.
Authors: Anneleen Dereymaeker; Kirubin Pillay; Jan Vervisch; Maarten De Vos; Sabine Van Huffel; Katrien Jansen; Gunnar Naulaers Journal: Early Hum Dev Date: 2017-07-12 Impact factor: 2.079
Authors: Sumudu Ranasinghe; Grace Or; Eric Y Wang; Aiva Ievins; Merritt A McLean; Cristopher M Niell; Vann Chau; Peter K H Wong; Hannah C Glass; Joseph Sullivan; Patrick S McQuillen Journal: J Neurosci Date: 2015-08-26 Impact factor: 6.167
Authors: Vladimir Matic; Perumpillichira Joseph Cherian; Ninah Koolen; Amir H Ansari; Gunnar Naulaers; Paul Govaert; Sabine Van Huffel; Maarten De Vos; Sampsa Vanhatalo Journal: Front Hum Neurosci Date: 2015-04-23 Impact factor: 3.169
Authors: N J Stevenson; L Oberdorfer; N Koolen; J M O'Toole; T Werther; K Klebermass-Schrehof; S Vanhatalo Journal: Sci Rep Date: 2017-10-11 Impact factor: 4.379
Authors: John M O'Toole; Geraldine B Boylan; Rhodri O Lloyd; Robert M Goulding; Sampsa Vanhatalo; Nathan J Stevenson Journal: Med Eng Phys Date: 2017-04-18 Impact factor: 2.242