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Dive into the research topics where Ulrich Rabl is active.

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Featured researches published by Ulrich Rabl.


NeuroImage | 2010

Imaging genetics of mood disorders.

Christian Scharinger; Ulrich Rabl; Harald H. Sitte; Lukas Pezawas

Mood disorders are highly heritable and have been linked to brain regions of emotion processing. Over the past few years, an enormous amount of imaging genetics studies has demonstrated the impact of risk genes on brain regions and systems of emotion processing in vivo in healthy subjects as well as in mood disorder patients. While sufficient evidence already exists for several monaminergic genes as well as for a few non-monoaminergic genes, such as brain-derived neurotrophic factor (BDNF) in healthy subjects, many others only have been investigated in single studies so far. Apart from these studies, the present review also covers imaging genetics studies applying more complex genetic disease models of mood disorders, such as epistasis and gene-environment interactions, and their impact on brain systems of emotion processing. This review attempts to provide a comprehensive overview of the rapidly growing field of imaging genetics studies in mood disorder research.


The Journal of Neuroscience | 2014

Additive Gene–Environment Effects on Hippocampal Structure in Healthy Humans

Ulrich Rabl; Bernhard M. Meyer; Kersten Diers; Lucie Bartova; Andreas Berger; Dominik Mandorfer; Ana Popovic; Christian Scharinger; Julia Huemer; Klaudius Kalcher; Gerald Pail; X Helmuth Haslacher; Thomas Perkmann; X Christian Windischberger; Burkhard Brocke; X Harald H. Sitte; Daniela D. Pollak; Jean-Claude Dreher; Siegfried Kasper; Nicole Praschak-Rieder; Ewald Moser; Harald Esterbauer; Lukas Pezawas

Hippocampal volume loss has been related to chronic stress as well as genetic factors. Although genetic and environmental variables affecting hippocampal volume have extensively been studied and related to mental illness, limited evidence is available with respect to G × E interactions on hippocampal volume. The present MRI study investigated interaction effects on hippocampal volume between three well-studied functional genetic variants (COMT Val158Met, BDNF Val66Met, 5-HTTLPR) associated with hippocampal volume and a measure of environmental adversity (life events questionnaire) in a large sample of healthy humans (n = 153). All three variants showed significant interactions with environmental adversity with respect to hippocampal volume. Observed effects were additive by nature and driven by both recent as well as early life events. A consecutive analysis of hippocampal subfields revealed a spatially distinct profile for each genetic variant suggesting a specific role of 5-HTTLPR for the subiculum, BDNF Val66Met for CA4/dentate gyrus, and COMT Val158Met for CA2/3 volume changes. The present study underscores the importance of G × E interactions as determinants of hippocampal volume, which is crucial for the neurobiological understanding of stress-related conditions, such as mood disorders or post-traumatic stress disorder (PTSD).


World Journal of Biological Psychiatry | 2011

The genetic blueprint of major depressive disorder: contributions of imaging genetics studies.

Christian Scharinger; Ulrich Rabl; Lukas Pezawas; Siegfried Kasper

Abstract Objectives. To review neuroimaging intermediate phenotypes of MDD and their relation to genetic risk variants. Methods. A systematic literature search of peer-reviewed English language articels using PubMed (www.pubmed.org) was performed. Results. Comprehensive evidence on the influence of serotonergic genes (SLC6A4, HTR1A, MAOA, TPH2) and BDNF on the following neural intermediate phenotypes is displayed: amygdala reactivity, coupling of amygdala-anterior cingulate cortex (ACC) activity, ACC volume, hippocampal volume and serotonin receptor 1A (5-HT1A) binding potential (BP). Conclusions. Intermediate phenotypes may bridge the gap between genotype and phenotype by reducing the impreciseness of psychiatric phenotypes and yield more insights into the underlying biology.


Journal of Psychiatric Research | 2015

Reduced default mode network suppression during a working memory task in remitted major depression

Lucie Bartova; Bernhard M. Meyer; Kersten Diers; Ulrich Rabl; Christian Scharinger; Ana Popovic; Gerald Pail; Klaudius Kalcher; Roland N. Boubela; Julia Huemer; Dominik Mandorfer; Christian Windischberger; Harald H. Sitte; Siegfried Kasper; Nicole Praschak-Rieder; Ewald Moser; Burkhard Brocke; Lukas Pezawas

Insufficient default mode network (DMN) suppression was linked to increased rumination in symptomatic Major Depressive Disorder (MDD). Since rumination is known to predict relapse and a more severe course of MDD, we hypothesized that similar DMN alterations might also exist during full remission of MDD (rMDD), a condition known to be associated with increased relapse rates specifically in patients with adolescent onset. Within a cross-sectional functional magnetic resonance imaging study activation and functional connectivity (FC) were investigated in 120 adults comprising 78 drug-free rMDD patients with adolescent- (n = 42) and adult-onset (n = 36) as well as 42 healthy controls (HC), while performing the n-back task. Compared to HC, rMDD patients showed diminished DMN deactivation with strongest differences in the anterior-medial prefrontal cortex (amPFC), which was further linked to increased rumination response style. On a brain systems level, rMDD patients showed an increased FC between the amPFC and the dorsolateral prefrontal cortex, which constitutes a key region of the antagonistic working-memory network. Both whole-brain analyses revealed significant differences between adolescent-onset rMDD patients and HC, while adult-onset rMDD patients showed no significant effects. Results of this study demonstrate that reduced DMN suppression exists even after full recovery of depressive symptoms, which appears to be specifically pronounced in adolescent-onset MDD patients. Our results encourage the investigation of DMN suppression as a putative predictor of relapse in clinical trials, which might eventually lead to important implications for antidepressant maintenance treatment.


International Journal of Psychiatry in Clinical Practice | 2017

Administration of ketamine for unipolar and bipolar depression

Christoph Kraus; Ulrich Rabl; Laura Carlberg; Ana Popovic; Marie Spies; Lucie Bartova; Gregor Gryglewski; Konstantinos Papageorgiou; Rupert Lanzenberger; Matthäus Willeit; Dietmar Winkler; Janusz K. Rybakowski; Siegfried Kasper

Abstract Objective: Clinical trials demonstrated that ketamine exhibits rapid antidepressant efficacy when administered in subanaesthetic dosages. We reviewed currently available literature investigating efficacy, response rates and safety profile. Methods: Twelve studies investigating unipolar, seven on bipolar depression were included after search in medline, scopus and web of science. Results: Randomized, placebo-controlled or open-label trials reported antidepressant response rates after 24 h on primary outcome measures at 61%. The average reduction of Hamilton Depression Rating Scale (HAM-D) was 10.9 points, Beck Depression Inventory (BDI) 15.7 points and Montgomery-Asberg Depression Rating Scale (MADRS) 20.8 points. Ketamine was always superior to placebo. Most common side effects were dizziness, blurred vision, restlessness, nausea/vomiting and headache, which were all reversible. Relapse rates ranged between 60% and 92%. To provide best practice-based information to patients, a consent-form for application and modification in local language is included. Conclusions: Ketamine constitutes a novel, rapid and efficacious treatment option for patients suffering from treatment resistant depression and exhibits rapid and significant anti-suicidal effects. New administration routes might serve as alternative to intravenous regimes for potential usage in outpatient settings. However, long-term side effects are not known and short duration of antidepressant response need ways to prolong ketamine’s efficacy.


PLOS ONE | 2014

Platelet Serotonin Transporter Function Predicts Default-Mode Network Activity

Christian Scharinger; Ulrich Rabl; C.H. Kasess; Bernhard M. Meyer; Tina Hofmaier; Kersten Diers; Lucie Bartova; Gerald Pail; Wolfgang Huf; Zeljko Uzelac; Beate Hartinger; Klaudius Kalcher; Thomas Perkmann; Helmuth Haslacher; Andreas Meyer-Lindenberg; Siegfried Kasper; Michael Freissmuth; Christian Windischberger; M. Willeit; Rupert Lanzenberger; Harald Esterbauer; Burkhard Brocke; Ewald Moser; Harald H. Sitte; Lukas Pezawas

Background The serotonin transporter (5-HTT) is abundantly expressed in humans by the serotonin transporter gene SLC6A4 and removes serotonin (5-HT) from extracellular space. A blood-brain relationship between platelet and synaptosomal 5-HT reuptake has been suggested, but it is unknown today, if platelet 5-HT uptake can predict neural activation of human brain networks that are known to be under serotonergic influence. Methods A functional magnetic resonance study was performed in 48 healthy subjects and maximal 5-HT uptake velocity (Vmax) was assessed in blood platelets. We used a mixed-effects multilevel analysis technique (MEMA) to test for linear relationships between whole-brain, blood-oxygen-level dependent (BOLD) activity and platelet Vmax. Results The present study demonstrates that increases in platelet Vmax significantly predict default-mode network (DMN) suppression in healthy subjects independent of genetic variation within SLC6A4. Furthermore, functional connectivity analyses indicate that platelet Vmax is related to global DMN activation and not intrinsic DMN connectivity. Conclusion This study provides evidence that platelet Vmax predicts global DMN activation changes in healthy subjects. Given previous reports on platelet-synaptosomal Vmax coupling, results further suggest an important role of neuronal 5-HT reuptake in DMN regulation.


European Neuropsychopharmacology | 2016

Pharmacological treatment strategies in unipolar depression in European tertiary psychiatric treatment centers – A pharmacoepidemiological cross-sectional multicenter study

Markus Dold; Alexander Kautzky; Lucie Bartova; Ulrich Rabl; Daniel Souery; Julien Mendlewicz; Stefano Porcelli; Alessandro Serretti; Joseph Zohar; Stuart A. Montgomery; Siegfried Kasper

This multicenter, cross-sectional study with retrospective assessment of treatment response evaluated the current prescription trends and pharmacological treatment strategies applied in European university/academic psychiatric centers in unipolar depression. Altogether, 1181 adult in- and outpatients with major depressive disorder (MDD) were enrolled in 9 academic sites in 8 European countries. Socio-demographic, clinical, and medication information were retrieved and the present symptom severity was assessed by the Montgomery and Åsberg Depression Rating Scale (MADRS). The symptom improvement during the current MDD episode was covered by retrospective MADRS measurements. Beyond descriptive statistics, analyses of variance (ANOVA) and Spearman correlation analyses were accomplished to determine the influence of symptom severity and treatment response on the prescription patterns. 53.4% of all MDD patients received a selective serotonin reuptake inhibitor (SSRI) and 23.6% a serotonin-norepinephrine reuptake inhibitor (SNRI) as first-line treatment. The majority of participants (59.4%) were treated with polypharmaceutical strategies (median: 2 psychiatric compounds per patient) and for the number of individual drugs we found a significant correlation with the current MADRS total score and the MADRS total score change during the present depressive episode. Benzodiazepines (33.2% of patients), antidepressants (29.0%), antipsychotics (24.2%), and mood stabilizers (10.1%) were the most frequently prescribed adjunctive agents. There were no significant differences between the different psychopharmacological classes used as augmentors in terms of symptom severity and treatment response. In summary, this international cross-sectional study revealed the widespread use of polypharmaceutical treatment strategies in European tertiary psychiatric treatment centers for the management of MDD.


Expert Review of Clinical Pharmacology | 2010

Imaging genetics: implications for research on variable antidepressant drug response

Ulrich Rabl; Christian Scharinger; Markus Müller; Lukas Pezawas

Genetic variation of SLC6A4, HTR1A, MAOA, COMT and BDNF has been associated with depression, variable antidepressant drug responses as well as impacts on brain regions of emotion processing that are modulated by antidepressants. Pharmacogenetic studies are using psychometric outcome measures of drug response and are hampered by small effect sizes that might be overcome by the use of intermediate endophenotypes of drug response, which are suggested by imaging studies. Such an approach will not only tighten the relationship between genes and drug response, but also yield new insights into the neurobiology of depression and individual drug responses. This article provides a comprehensive overview of pharmacogenetic, imaging genetics and drug response studies, utilizing imaging techniques within the context of antidepressive drug therapy.


Brain Structure & Function | 2016

Oppositional COMT Val158Met effects on resting state functional connectivity in adolescents and adults.

Bernhard M. Meyer; Julia Huemer; Ulrich Rabl; Roland N. Boubela; Klaudius Kalcher; Andreas Berger; Tobias Banaschewski; Gareth J. Barker; Arun L.W. Bokde; Christian Büchel; Patricia J. Conrod; S. Desrivieres; Herta Flor; Vincent Frouin; Jürgen Gallinat; Hugh Garavan; Andreas Heinz; Bernd Ittermann; Tianye Jia; Mark Lathrop; Jean-Luc Martinot; Frauke Nees; Marcella Rietschel; Michael N. Smolka; Lucie Bartova; Ana Popovic; Christian Scharinger; Harald H. Sitte; Hans Steiner; Max H. Friedrich


European Psychiatry | 2017

Prescribing patterns of psychiatric drugs in major depressive disorder – Findings from a large European multicenter, cross-sectional study

Markus Dold; Alexander Kautzky; Lucie Bartova; Ulrich Rabl; Daniel Souery; Julien Mendlewicz; Alessandro Serretti; Stefano S. Porcelli; J. Zohar; Stuart A. Montgomery; Siegfried Kasper

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Lucie Bartova

Medical University of Vienna

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Lukas Pezawas

Medical University of Vienna

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Siegfried Kasper

Medical University of Vienna

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Christian Scharinger

Medical University of Vienna

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Ana Popovic

Medical University of Vienna

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Bernhard M. Meyer

Medical University of Vienna

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Ewald Moser

Medical University of Vienna

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Harald H. Sitte

Medical University of Vienna

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Klaudius Kalcher

Medical University of Vienna

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Alexander Kautzky

Medical University of Vienna

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