Mitja Bodatsch

Learn More
BACKGROUND To develop risk-adapted prevention of psychosis, an accurate estimation of the individual risk of psychosis at a given time is needed. Inclusion of biological parameters into multilevel prediction models is thought to improve predictive accuracy of models on the basis of clinical variables. To this aim, mismatch negativity (MMN) was investigated(More)
The basic symptoms (BS) approach provides a valid instrument in predicting psychosis onset and represents moreover a significant heuristic framework for research. The term "basic symptoms" denotes subtle changes of cognition and perception in the earliest and prodromal stages of psychosis development. BS are thought to correspond to disturbances of neural(More)
Over the last couple of decades, the treatment of psychoses has much advanced; yet, despite all progress, the individual and societal burden associated with psychosis and particularly schizophrenia has largely remained unchanged. Therefore, much hope is currently placed on indicated prevention as a mean to fight these burdens before they set in. Though the(More)
BACKGROUND Prediction studies in subjects at Clinical High Risk (CHR) for psychosis are hampered by a high proportion of uncertain outcomes. We therefore investigated whether quantitative EEG (QEEG) parameters can contribute to an improved identification of CHR subjects with a later conversion to psychosis. METHODS This investigation was a project within(More)
Prevention is currently regarded a promising strategy for fighting the unfavorable consequences of psychosis. Yet, for the error probability inherent in any predictive approach, benefits and costs must be carefully weighed against each other. False attribution of risk may unnecessarily provoke stress and anxiety, and lead to unwarranted intervention(More)
BACKGROUND Prediction and prevention of psychosis have become major research topics. Clinical approaches warrant objective biological parameters to enhance validity in prediction of psychosis onset. In this regard, event-related potentials (ERPs) have been identified as promising tools for improving psychosis prediction. METHODS Herein, the focus is on(More)
In the recent decades, a paradigmatic change in psychosis research and treatment shifted attention toward the early and particularly the prodromal stages of illness. Despite substantial progress with regard to the neuronal underpinnings of psychosis development, the crucial biological mechanisms leading to manifest illness are yet insufficiently understood.(More)
Deep brain stimulation (DBS) has successfully advanced our treatment options for putative therapy-resistant neuropsychiatric diseases. Building on this strong foundation, more and more mental disorders in the stadium of therapy-resistance are considered as possible indications for DBS. Especially, schizophrenia with its associated severe and difficult to(More)
Vor 100 Jahren veröffentlichte Eugen Bleuler seinen bedeutendsten Beitrag zur Psychiatrie, indem er den Krankheitsbegriff „Schizophrenie“ als diagnostische Entität konzipierte. In den modernen Diagnosemanualen spiegeln sich Bleulers Konzepte lediglich in nebengeordneten Kriterien, am ehesten als Negativsymptomatik. In der vorliegenden Arbeit soll anlässlich(More)
Objective: Dogs have been integrated in human society over centuries. This process has selected unique social and communicative skills. Dogs are thus able to represent social substitutes for human counterparts in cases of social withdrawal. Furthermore, dogs act as "social catalysts" in promoting interhuman encounters. Thus, the integration of dogs in(More)