Desmoplastic medulloblastoma (DMB) is a malignant cerebellar tumour composed of two distinct tissue components, pale islands and desmoplastic areas. Previous studies revealed mutations in genes encoding members of the sonic hedgehog pathway, including PTCH, SMOH and SUFUH in DMBs. However, little is known about other genomic aberrations. We performed comparative genomic hybridization (CGH) analysis of 22 sporadic DMBs and identified chromosomal imbalances in 20 tumours (91%; mean, 4.9 imbalances/tumour). Recurrent chromosomal gains were found on chromosomes 3, 9 (six tumours each), 20, 22 (five tumours each), 2, 6, 7, 17 (four tumours each) and 1 (three tumours). Recurrent losses involved chromosomes X (eight tumours), Y (six of eleven tumours from male patients), 9, 12 (four tumours each), as well as 10, 13 and 17 (three tumours each). Four tumours demonstrated high-level amplifications involving sequences from 1p22, 5p15, 9p, 12p13, 13q33-q34 and 17q22-q24, respectively. Further analysis of the 9p and 17q22-q24 amplicons by array-based CGH (matrix-CGH) and candidate gene analyses revealed amplification of JMJD2C at 9p24 in one DMB and amplification of RPS6KB1, APPBP2, PPM1D and BCAS3 from 17q23 in three DMBs. Among the 17q23 genes, RPS6KB1 showed markedly elevated transcript levels as compared to normal cerebellum in five of six DMBs and four of five classic medulloblastomas investigated. Finally, CGH analysis of microdissected pale islands and desmoplastic areas showed common chromosomal imbalances in five of six informative tumours. In summary, we have identified several novel genetic alterations in DMBs and provide genetic evidence for a monoclonal origin of their different tissue components.

In adults, the level of ability to perceive one's own body signals plays an important role for many concepts of emotional experience as demonstrated for emotion processing or emotion regulation. Representative data on perception of body signals and its emotional correlates in children is lacking. Therefore, the present study investigated the cardiac sensitivity of 1,350 children between 6 and 11 years of age in a heartbeat perception task. Our main findings demonstrated the distribution of cardiac sensitivity in children as well as associations with interpersonal emotional intelligence and adaptability. Furthermore, independent of body mass index, boys showed a significantly higher cardiac sensitivity than girls. We conclude that cardiac sensitivity in children appears to show weaker but similar characteristics and relations to emotional parameters as found in adults, so that a dynamic developmental process can be assumed.

Previous research indicates that interindividual differences in the ability to perceive one's own bodily signals (interoceptive sensitivity, IS) are associated with disordered eating behavior and weight problems. But representative and prospective data in children are lacking and therefore, the exact nature of these observed associations remains unclear. Data on IS measured by heartbeat perception ability in 1657 children between 6 and 11 years of age were collected on the basis of two measurement points with a year distance in time. Stability of the construct and its prospective association with different food approach behaviors [assessed via parent questionnaires (Children's Eating Behavior Questionnaire and Dutch Eating Behavior Questionnaire)] as well as with weight status were analyzed via structural equation modeling. Main results were that only in overweight children external and emotional eating behavior were predictive for later IS, whereas no such relation was found in normal weight children. There was no direct relation between IS and body mass index. For the first time, we could show that eating behavior and IS in middle childhood are prospectively related to each other. But surprisingly, our data indicate that altered interoceptive processes rather follow than precede non-adaptive eating behavior patterns in overweight children. This suggests a possible crucial role of faulty learning mechanisms in eating behavior early in life, undermining the later confidence in one's body.

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Dissipativity properties have proven to be very valuable for systems analysis and controller design. With the rising amount of available data, there has therefore been an increasing interest in determining dissipativity properties from (measured) trajectories directly, while an explicit model of the system remains undisclosed. Most existing approaches for datadriven dissipativity, however, guarantee the dissipativity condition only over a finite time horizon and provide weak or no guarantees on robustness in the presence of noise. In this paper, we present a framework for verifying dissipativity properties from measured data with desirable guarantees. We first consider the case of input-state measurements, where we provide non-conservative and computationally attractive conditions even in the presence of noise. We then extend this approach to input-output data, where similar results hold in the noise-free case.