The anterior cingulate cortex (ACC) represents a phylogenetically ancient region of the mammalian brain that has undergone recent adaptive changes in humans. It contains a large spindle-shaped cell type, referred to as von Economo neuron (VEN) that has been shown to be involved in the pathophysiology of various neuropsychiatric disorders. Schizophrenia is a group of disorders that is, in part, characterised by a disruption of neuronal migration in early ontogeny and presumably secondary degeneration after the first psychotic episode in some patients. Accordingly, we tested the hypothesis that the density of VENs is reduced in a neurodevelopmental subtype of schizophrenia, which we defined by an early onset of the disorder. The density of VENs was estimated in layer Vb of Brodmann's area 24 in 20 subjects diagnosed with schizophrenia. The results were compared with 19 specimens from patients with bipolar disorder as a clinical control and 22 non-psychiatric samples. The density of VENs did not differ between the three groups. However, the VEN density in the right ACC correlated with the age at onset, and inversely with the duration of the illness in schizophrenia, but not in bipolar disorder. Thus, patients with early onset schizophrenia (and longer duration of illness) had a reduced VEN density. Age, sex, postmortem interval, brain weight, and cortical thickness had no significant impact on the results. These findings suggest that VENs in the ACC are involved in neurodevelopmental and perhaps neurodegenerative processes specific to schizophrenia.

Abstract. Models for estimating flood losses to infrastructure are rare and their reliability is seldom investigated although infrastructure losses might contribute considerably to the overall flood losses. In this paper, an empirical modelling approach for estimating direct structural flood damage to railway infrastructure and associated financial losses is presented. Via a combination of event data, i.e. photodocumented damage on the Northern Railway in Lower Austria caused by the March River flood in 2006, and simulated flood characteristics, i.e. water levels, flow velocities and combinations thereof, the correlations between physical flood impact parameters and damage occurred to the railway track were investigated and subsequently rendered into a damage model. After calibrating the loss estimation using recorded repair costs of the Austrian Federal Railways, the model was applied to three synthetic scenarios with return periods of 30, 100 and 300 years of March River flooding. Finally, the model results are compared to depth-damagecurve-based approaches for the infrastructure sector obtained from the Rhine Atlas damage model and the Damage Scanner model. The results of this case study indicate a good performance of our two-stage model approach. However, due to a lack of independent event and damage data, the model could not yet be validated. Future research in natural risk should focus on the development of event and damage documentation procedures to overcome this significant hurdle in flood damage modelling.

Suicide is the most important incident in psychiatric disorders. Psychological pain and empathy to pain involves a neural network that involves the anterior cingulate cortex (ACC) and the anterior insula (AI). At the neuronal level, little is known about how complex emotions such as shame, guilt, self-derogation and social isolation, all of which feature suicidal behavior, are represented in the brain. Based on the observation that the ACC and the AI contain a large spindle-shaped cell type, referred to as von Economo neuron (VEN), which has dramatically increased in density during human evolution, and on growing evidence that VENs play a role in the pathophysiology of various neuropsychiatric disorders, including autism, psychosis and dementia, we examined the density of VENs in the ACC of suicide victims. The density of VENs was determined using cresyl violet-stained sections of the ACC of 39 individuals with psychosis (20 cases with schizophrenia, 19 with bipolar disorder). Nine subjects had died from suicide. Twenty specimen were available from the right, 19 from the left ACC. The density of VENs was significantly greater in the ACC of suicide victims with psychotic disorders compared with psychotic individuals who died from other causes. This effect was restricted to the right ACC. VEN density in the ACC seems to be increased in suicide victims with psychosis. This finding may support the assumption that VEN have a special role in emotion processing and self-evaluation, including negative self-appraisal.

There is increasing evidence from genetic, biochemical, pharmacological, neuroimaging and post-mortem studies that immunological dysregulation plays a crucial role in the pathogenesis of psychoses. The involvement of microglia in schizophrenia and bipolar disorder (BD) has remained controversial, however, since results from various post-mortem studies are still inconclusive. Here, we analyzed the estimated density of microglia of age-matched individuals with schizophrenia (n = 17), BD (n = 13), and non-psychiatric control subjects (n = 17) in the anterior midcingulate cortex (aMCC), a brain area putatively involved in the pathogenesis of psychoses, using ionized calcium binding adaptor molecule 1 (Iba1)—immunohistochemistry. The microglial cells displayed a homogenously distributed Iba1—staining pattern in the aMCC with slightly varying activation states in all three groups. The estimated microglial densities did not differ significantly between individuals with schizophrenia, BD and control subjects. Remarkably, when both hemispheres were investigated separately within the three groups, the density was significantly lateralized towards the right aMCC in schizophrenia (p = 0.01) and—even more evident—in BD subjects (p = 0.008). This left–right lateralization was not observed in the control group (p = 0.52). Of note, microglial density was significantly lower in BD individuals who did not commit suicide compared with BD individuals who died from suicide (p = 0.002). This difference was not observed between individuals with BD who committed suicide and controls. The results, tentatively interpreted, suggest a hitherto unknown increased lateralization of microglial density to the right hemisphere in both psychiatric groups. If confirmed in independent samples, lateralization should be considered in all post-mortem studies on microglia. Density differences between suicide and non-suicide individuals needs further elucidation.

Abstract. Floods pose a considerable risk to the infrastructure and the operation of the Austrian Federal Railway network (ÖBB) as seen by the latest major flood event at the March River in 2006. This event, which led, amongst other things, to the shutdown of the Austrian Northern Railway Line between Gänserndorf and Břeclav (Czech Republic) for several months and caused direct infrastructural damage totaling several million EURO, revealed once again the significant vulnerability of the extensive rail network to natural hazard processes in Austria. Experiences gained during this and other events inspired the development of standardized and pragmatic documentation of flood damage. This is aimed in particular at aiding those who inspect the damage during or in the early stages of the aftermath and serves as a guideline for simplifying the damage assessment process, helping to estimate the extent of the losses and producing consistent information. In the longer term, consistent documentation of flood losses can support the development of loss estimation models and efficient risk management strategies. According to this proposal, the documentation takes place in four categories: event documentation, damage documentation, object information and information concerning damage reduction. Thereby, important object categories are defined such as the railway cross section, bridges, interlocking blocks, (station) buildings and transformer substations, to which each of the five damage classes are attributed. These classes represent both structural damage as well as operational impacts. Through visualization in a GIS (Geographical Information System) and by linking information on structural damage to hydraulic data, further insight into the damage processes is gained.

Abstract. Models for estimating flood losses to infrastructure are rare and their reliability is seldom investigated although infrastructure losses might contribute considerably to the overall flood losses. In this paper, a statistical modelling approach for estimating direct structural flood damage to railway infrastructure and associated financial losses is presented. Via a combination of empirical data, i.e. photo-documented damage on the Northern Railway in Lower Austria caused by the March river flood in 2006, and simulated flood characteristics, i.e. water levels, flow velocities and combinations thereof, the correlations between physical flood impact parameters and damage occurred to the railway track were investigated and subsequently rendered into a damage model. After calibrating the loss estimation using recorded repair costs of the Austrian Federal Railways, the model was applied to three synthetic scenarios with return periods of 30, 100 and 300 years of March river flooding. Finally, the model results are compared to depth-damage curve based approaches for the infrastructure sector obtained from the Rhine Atlas damage model and the Damage Scanner model. The results of this case study indicate a good performance of our two-stage model approach. However, due to a lack of independent event and damage data, the model could not yet be validated. Future research in natural risk should focus on the development of event and damage documentation procedures to overcome this significant hurdle in flood damage modelling.

Deadlock analysis for railway systems differs in sev-

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