Seizure detection algorithm for neonates based on wave-sequence analysis

Objective: The description and evaluation of the performance of a new real-time seizure detection algorithm in the newborn infant. Methods: The algorithm includes parallel fragmentation of EEG signal into waves; wave-feature extraction and averaging; elementary, preliminary and final detection. The algorithm detects EEG waves with heightened regularity, using wave intervals, amplitudes and shapes. The performance of the algorithm was assessed with the use of event-based and liberal and conservative time-based approaches and compared with the performance of Gotman's and Liu's algorithms. Results: The algorithm was assessed on multi-channel EEG records of 55 neonates including 17 with seizures. The algorithm showed sensitivities ranging 83-95% with positive predictive values (PPV) 48-77%. There were 2.0 false positive detections per hour. In comparison, Gotman's algorithm (with 30 s gap-closing procedure) displayed sensitivities of 45-88% and PPV 29-56%; with 7.4 false positives per hour and Liu's algorithm displayed sensitivities of 96-99%, and PPV 10-25%; with 15.7 false positives per hour. Conclusions: The wave-sequence analysis based algorithm displayed higher sensitivity, higher PPV and a substantially lower level of false positives than two previously published algorithms. Significance: The proposed algorithm provides a basis for major improvements in neonatal seizure detection and monitoring. Published by Elsevier Ireland Ltd. on behalf of International Federation of Clinical Neurophysiology.

Successful management of lymphangiomatosis and chylothorax in a 7-month-old infant

A 7-month old infant presented with an effusion and multiple lesions in his spleen. A diagnosis of lymphangiomatosis was made based on chylous effusion and an MRI demonstrating numerous enhancing lesions within the spleen on T2-weighed images. Conservative measures, including the withdrawal of feeds and octreotide, did not significantly reduce the rate of chyle production and increasing requirement for respiratory support. Resection of the patient's spleen and partial pleurectomy were associated with a dramatic improvement in his condition. At 27 months the patient was well with no evidence of further lymphangiomas or a recurrence of his chylothoraces.

White and gray matter development in human fetal, newborn and pediatric brains

Brain anatomy is characterized by dramatic growth from the end of the second trimester through the neonatal stage. The characterization of normal axonal growth of the white matter tracts has not been well-documented to date and could provide important clues to understanding the extensive inhomogeneity of white matter injuries in cerebral palsy (CP) patients. However, anatomical studies of human brain development during this period are surprisingly scarce and histology-based atlases have become available only recently. Diffusion tensor magnetic resonance imaging (DTMRI) can reveal detailed anatomy of white matter. We acquired diffusion tensor images (DTI) of postmortem fetal brain samples and in vivo neonates and children. Neural structures were annotated in two-dimensional (2D) slices, segmented, measured, and reconstructed three-dimensionally (3D). The growth status of various white matter tracts was evaluated on cross-sections at 19-20 gestational weeks, and compared with 0-month-old neonates and 5- to 6-year-old children. Limbic, commissural, association, and projection white matter tracts and gray matter structures were illustrated in 3D and quantitatively characterized to assess their dynamic changes. The overall pattern of the time courses for the development of different white matter is that limbic fibers develop first and association fibers last and commissural and projection fibers are forming from anterior to posterior part of the brain. The resultant DTNIRI-based 3D human brain data will be a valuable resource for human brain developmental study and will provide reference standards for diagnostic radiology of premature newborns. (c) 2006 Elsevier Inc. All rights reserved.

Theoretical interfaces in the acute paediatric context: A psychotherapeutic understanding of the application of infant-directed singing

Psychotherapy literature provides a theoretical understanding of parent-infant attachment. This article will reflect upon the specific need to give thoughtful consideration to those infants admitted to the acute-care setting, such as neonatal and paediatric intensive care units, and the potential for this environment to affect infant development and the parent-infant relationship. Infant-directed singing, as described in this article, is an improvised form of vocal interaction that is specifically informed by an understanding of the musical parameters of pitch, rhythm, phrasing, timbre, register, dynamic, tempo and silence. This article will detail a theoretical understanding of using infant-directed singing to foster parent-infant interaction within the acute care environment. In particular, the potentially sensitive, reciprocal and engaging nature of infant-directed singing, coupled with its ability to promote and support maternal demonstrations of empathy, will be discussed with a view to the psychological and physical development of the hospitalised infant.