Investigation and comparison of some models for removing ocular artefacts from EEG signals

An investigation of ocular artefacts (OAs) in the human electroencephalogram (EEG) to quantify the effectiveness of OA removal, and to find the most effective model for removing OAs online is described. It was found unnecessary to use the vertical and horizontal EOGs of both eyes, although more than one EOG signal is required for adequate OA removal. The model using the vertical right EOG and the two horizontal EOGs was the best overall, but in most cases the use of only the vertical and horizontal right EOGs was sufficient. OAs were not completely removed by any of the models investigated, suggesting that more complex models are necessary.     

Characterization of a monoclonal antibody panel shows that the myotonic dystrophy protein kinase, DMPK, is expressed almost exclusively in muscle and heart

Myotonic dystrophy (DM) is a multisystemic disorder caused by an inherited CTG repeat expansion which affects three genes encoding the DM protein kinase (DMPK), a homeobox protein Six5 and a protein containing WD repeats. Using a panel of 16 monoclonal antibodies against several different DMPK epitopes we detected DMPK, as a single protein of approximately 80 kDa, only in skeletal muscle, cardiac muscle and, to a lesser extent, smooth muscle. Many earlier reports of DMPK with different sizes and tissue distributions appear to be due to antibody cross-reactions with more abundant proteins. One such antibody, MANDM1, was used to isolate two related protein kinases, MRCK alpha and beta, from a human brain cDNA library and the shared epitope was located at the catalytic site of DMPK using a phage-displayed random peptide library. The peptide library also identified an epitope shared between DMPK and a 55 kDa muscle-specific protein. The results suggest that effects of the repeat expansion on the DMPK gene may be responsible for muscle and heart features of DM, whereas clinical changes in other tissues may be due to effects on the other two genes.     

Beare-Stevenson cutis gyrata syndrome.

Beare-Stevenson cutis gyrata syndrome consists of skin furrows of corrugated appearance, acanthosis nigricans, craniofacial anomalies, particularly craniosynostosis and ear defects, anogenital anomalies, skin tags, and prominent umbilical stump. Four cases of this striking syndrome are reported. Together with two previously reported cases, the syndrome is delineated from the six known cases. Cutis gyrata variably affects the scalp, forehead, face, preauricular area, neck, trunk, hands, and feet. Craniosynostosis is present in four cases, with cloverleaf skull in three of these. Intrauterine growth has been normal in all cases. Performance and life expectation appear to be related to the presence or absence of cloverleaf skull. All cases observed to date have been sporadic. Increased paternal age suggests the possibility of an autosomal dominant mutation.     

Actions of microiontophoretically applied oxytocin, and immunohistochemical localization of oxytocin, vasopressin and neurophysin in the rat caudal medulla

Oxytocin-, vasopressin- and neurophysin-containing axons were visualized within the rat caudal medulla using the immunoperoxidase technique. The highest densities of axons and terminals were found in the nucleus tractus solitarius, nucleus dorsalis vagus, nucleus commissuralis, nucleus reticularis lateralis and within the marginal layer of the nucleus trigeminalis. In these areas, oxytocin fibres predominated markedly over vasopressin fibres. In a series of electrophysiological experiments, neurones in these and surrounding areas were predominantly depressed following the iontophoretic application of oxytocin. This depression was seen on both spontaneous and glutamate-evoked neuronal firing.     

Family and Illness Predictors of Outcome in Pediatric Brain Tumors

Investigated the prediction of cognitive and behavioral outcomesin 63 children with heterogenous brain tumors. Hierarchicalmultiple regression analyses were used to determine how family-relatedvariables added to the prediction of children's outcome overand above illness measures. The best predictors of children'sbehavior problems and adaptive behavior were family and demographicvariables, whereas the best predictors of achievement were illnessand demographic variables. A combination of family and illnessvariables, however, was the best predictor of intellectual functioning.In addition to identifying specific predictors of cognitiveand behavioral outcome in children with brain tumors, theseresults lend initial support for the inclusion of contextualfactors such as family stress, maternal coping, number of parentsin the home, and family SES measures in studies of how diseasefactors affect outcomes in pediatric brain tumor patients.