Effective connectivity in long-term EEG monitoring in preterm infants

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
E M SchumacherP G Larsson

Abstract

Electroencephalogram (EEG) is commonly used to monitor brain activity in preterm neonates. Long-term EEG is used to predict outcomes by total band power. This study reports effective connectivity analyses in the fronto-parietal network in preterm infants. Directed transfer functions (DTFs) were used in fully automated calculations of effective connectivity. Continuous eight-channel EEG recordings were performed for three full days starting at a median of 5.3h (2.5-11.2h) after birth. Analyses were performed using the channels Fp1, Fp2, P3 and P4. DTF were calculated every second in every connection and channel for all frequencies from 1 Hz to 30 Hz. The median connectivity was used in the connectivity assessment. Parieto-frontal connectivity was significantly higher (0.22) than fronto-parietal connectivity (0.05). There was a significant decrease in parieto-frontal connectivity between day one (0.18) and three. Conversely, there was a significant increase in fronto-parietal connectivity from day one to day three (0.07). Significant changes are seen in connectivity from day one to three, but there were no certain connectivity differences between gestational ages. A rapid change in fronto-parietal connectivity was seen from day o...Continue Reading

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Citations

May 15, 2016·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·J M O'TooleN J Stevenson
Mar 9, 2018·Frontiers in Human Neuroscience·Bjørn E JuelPål G Larsson
May 11, 2017·Human Brain Mapping·Brigitta TóthIstván Winkler
Sep 16, 2018·Seizure : the Journal of the British Epilepsy Association·Alba GonzálezErik Taubøll

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