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Book Chapter
Book Chapter
Series: Key Issues in Mental Health
Volume: 181
Published: 15 January 2016
10.1159/000440920
EISBN: 978-3-318-05621-1
... Abstract Currently, prediction of psychosis is almost exclusively based on clinical criteria. This approach already enables a clinically useful estimation of risk. In combination with algorithms for risk stratification, the first steps towards an individualized risk prediction have been made...
Book Chapter
Series: Advances in Biological Psychiatry
Volume: 27
Published: 09 January 2012
10.1159/000331526
EISBN: 978-3-8055-9801-9
... Abstract Parkinson’s disease (PD) psychosis is a common phenomenon that affects quality of life, caregiver burden, and disability in patients with PD. Although there may be an increased risk of psychosis inherent to the disease itself, current research suggests that dementia, advancing age...
Book Chapter
Book
Book Cover Image
Published: 28 April 2004
10.1159/isbn.978-3-318-01059-6
EISBN: 978-3-318-01059-6
Book Chapter
Book Chapter
Series: Key Issues in Mental Health
Volume: 181
Published: 15 January 2016
10.1159/000440912
EISBN: 978-3-318-05621-1
... approaches are currently mainly followed. The ultra-high-risk (UHR) criteria were explicitly developed to predict first-episode psychosis within 12 months, and indeed the majority of conversions in clinical UHR samples seem to occur within the first 12 months of initial assessment. Their main criterion...
Book Chapter
Series: Key Issues in Mental Health
Volume: 181
Published: 15 January 2016
10.1159/000440914
EISBN: 978-3-318-05621-1
... Abstract The disabling nature and costly impact of mental disorders, such as schizophrenia, can cause significant burden to both person and society. It is also indicated that the negative outcomes associated with psychosis may, in part, be due to the delayed detection and initiation...
Book Chapter
Series: Key Issues in Mental Health
Volume: 181
Published: 15 January 2016
10.1159/000440918
EISBN: 978-3-318-05621-1
... Abstract With the advent of modern neuroimaging techniques it was possible to improve our understanding of the potential pathogenetic mechanisms of psychosis. Using functional magnetic resonance imaging and diffusion tensor imaging, numerous studies have elucidated that the core hallmark...
Book Chapter
Series: Key Issues in Mental Health
Volume: 181
Published: 15 January 2016
10.1159/000440924
EISBN: 978-3-318-05621-1
... Abstract As this volume shows, early detection of and intervention in psychosis is a rapidly evolving and highly promising field of psychiatry. Starting with the early detection of frank psychosis and building up services for these patients, the field has in the meantime developed much further...
Book Chapter
Series: Advances in Psychosomatic Medicine
Volume: 23
Published: 03 September 2001
10.1159/000059288
EISBN: 978-3-318-00718-3
Book Chapter
Book Chapter
Series: Modern Trends in Psychiatry
Volume: 17
Published: 24 November 1981
10.1159/000402415
EISBN: 978-3-318-03972-6
Book Chapter
Series: Key Issues in Mental Health
Volume: 181
Published: 15 January 2016
10.1159/000440913
EISBN: 978-3-318-05621-1
... Abstract The increasing availability of early psychosis services has led to a much broader diagnostic spectrum now being seen in these services. Especially in adolescent age, mental state may meet psychosis risk on a purely psychometric basis, yet may be the phenotypical expression of another...
Book Chapter
Series: Key Issues in Mental Health
Volume: 181
Published: 15 January 2016
10.1159/000440916
EISBN: 978-3-318-05621-1
... Abstract It is difficult to predict whether an individual who is at high risk for psychosis will go on to develop the disorder using clinical and behavioural measures alone. This chapter describes findings from neuroimaging research that may be useful in helping to predict outcomes...
Book Chapter
Series: Key Issues in Mental Health
Volume: 181
Published: 15 January 2016
10.1159/000440917
EISBN: 978-3-318-05621-1
... Abstract The analysis of large-scale multidomain databases has become a key avenue in the quest for identifying predictors of psychosis. However, despite large scientific efforts, until today no clinically viable predictive models have been derived from these databases. This might to some...
Book Chapter
Series: Key Issues in Mental Health
Volume: 181
Published: 15 January 2016
10.1159/000440919
EISBN: 978-3-318-05621-1
... Abstract Meta-analyses suggest that - among help-seeking individuals - only about one third of those meeting internationally established criteria for an at-risk mental state (ARMS) for psychosis will later develop psychosis, and about one third will have a clinical remission within two years...
Book Chapter
Series: Key Issues in Mental Health
Volume: 181
Published: 15 January 2016
10.1159/000440923
EISBN: 978-3-318-05621-1
... Abstract Early psychosis represents a distinct period in which specific guidelines for the use of antipsychotic medications apply. Individuals with a first episode of psychosis are typically drug-naive and while they tend to respond to lower doses, they are also more sensitive to side effects...
Book Chapter
Book Chapter