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Previous studies consistently reported abnormal recognition of facial expressions in depression. However, it is still not clear whether this abnormality is due to an enhanced or impaired ability to recognize facial expressions, and what underlying cognitive systems are involved. The present study aimed to examine how individuals with elevated levels of depressive symptoms differ from controls on facial expression recognition and to assess attention and information processing using eye tracking. Forty participants (18 with elevated depressive symptoms) were instructed to label facial expressions depicting one of seven emotions. Results showed that the high-depression group, in comparison with the low-depression group, recognized facial expressions faster and with comparable accuracy. Furthermore, the high-depression group demonstrated greater leftwards attention bias which has been argued to be an indicator of hyperactivation of right hemisphere during facial expression recognition.
Predominant polarity in bipolar disorder and validation of the polarity index in a German sample
(2014)
Background: A large number of patients with bipolar disorder (BD) can be characterized by predominant polarity (PP), which has important implications for relapse prevention. Recently, Popovic et al. (EUR NEUROPSYCHOPHARM 22(5): 339–346, 2012) proposed the Polarity Index (PI) as a helpful tool in the maintenance treatment of BD. As a numeric expression, it reflects the efficacy of drugs used in treatment of BD. In the present retrospective study, we aimed to validate this Index in a large and well characterized German bipolar sample.
Methods: We investigated 336 bipolar patients (BP) according to their PP and calculated the PI for each patient in order to prove if maintenance treatment differs according to their PP. Furthermore, we analysed whether PP is associated with demographic and clinical characteristics of BP.
Results: In our sample, 63.9% of patients fulfilled criteria of PP: 169 patients were classified as depressive predominant polarity (DPP), 46 patients as manic predominant polarity (MPP). The two groups differed significantly in their drug regime: Patients with DPP were more often medicated with lamotrigine and antidepressants, patients with MPP were more often treated with lithium, valproate, carbamazepine and first generation antipsychotics.
However, patients with DPP and MPP did not differ significantly with respect to the PI, although they received evidence-based and guideline-driven treatment.
Conclusion: The reason for this negative finding might well be that for several drugs, which were used frequently, no PI value is available. Nevertheless we suggest PP as an important concept in the planning of BD maintenance treatment.
Early life stress, including exposure to prenatal stress (PS), has been shown to affect the developing brain and induce severe effects on emotional health in later life, concomitant with an increased risk for psychopathology. However, some individuals are more vulnerable to early-life stress, while others adapt successfully, i.e. they are resilient and do not succumb to adversity. The molecular substrates promoting resilience in some individuals and vulnerability in other individuals are as yet poorly investigated. A polymorphism in the serotonin transporter gene (5HTT/SLC6A4) has been suggested to play a modulatory role in mediating the effects of early-life adversity on psychopathology, thereby rendering carriers of the lower-expressing short (s)-allele more vulnerable to developmental adversity, while long (l)-allele carriers are relatively resilient. The molecular mechanisms underlying this gene x environment interaction (GxE) are not well understood, however, epigenetic mechanisms such as DNA methylation and histone modifications have been discussed to contribute as they are at the interface of environment and the genome. Moreover, developmental epigenetic programming has also been postulated to underlie differential vulnerability/resilience independent of genetic variation.
The present work comprises two projects investigating the effects of prenatal maternal restraint stress in 5-HTT deficient mice. In the first study, we examined to which extent previously observed changes in behavior and hippocampal gene expression of female 5-Htt+/- prenatally stressed (PS) offspring were associated with changes in DNA methylation patterns. Additionally, we investigated the expression of genes involved in myelination in hippocampus and amygdala of those animals using RT-qPCR. The genome-wide hippocampal DNA methylation screening was performed using methylated-DNA immunoprecipitation (MeDIP) on Affymetrix GeneChip® Mouse Promoter 1.0R arrays. In order to correlate individual gene-specific DNA methylation, mRNA expression and behavior, we used hippocampal DNA from the same mice as assessed before. 5-Htt genotype, PS and their interaction differentially affected the DNA methylation signature of numerous genes, a part of which were also differentially expressed. More specifically, we identified a differentially methylated region in the Myelin basic protein (Mbp) gene, which was associated with Mbp expression in a 5-Htt-, PS- and 5-Htt x PS-dependent manner. Subsequent fine-mapping linked the methylation status of two specific CpG sites in this region to Mbp expression and anxiety-related behavior. We furthermore found that not only the expression of Mbp but of large gene set associated with myelination was affected by a 5-Htt x PS interaction in a brain-region specific manner. In conclusion, hippocampal DNA methylation patterns and expression profiles of female PS 5-Htt+/- mice suggest that distinct molecular mechanisms, some of which are associated with changes in gene promoter methylation, and processes associated with myelination contribute to the behavioral effects of the 5-Htt genotype, PS exposure, and their interaction.
In the second study, we aimed at investing the molecular substrates underlying resilience to PS. For this purpose, we exposed 5-Htt+/+ dams to the same restraint stress paradigm and investigated the effects of PS on depression- and anxiety-like behavior and corticosterone (CORT) secretion at baseline and after acute restraint stress in female 5-Htt+/+ and 5-Htt+/- offspring. We found that PS affected the offspring’s social behavior in a negative manner. When specifically examining those PS animals, we grouped the PS offspring of each genotype into a social, resilient and an unsocial, vulnerable group. While anxiety-like behavior in the EPM was reduced in unsocial, but not social, PS 5-Htt+/+ animals when compared to controls, this pattern could not be found in animals of the other genotype, indicating that social anxiety and state anxiety in the EPM were independent of each other. We then assessed genome-wide hippocampal gene expression profiles using mRNA sequencing in order to identify pathways and gene ontology (GO) terms enriched due to 5-Htt genotype (G), PS exposure (E) and their interaction (GxE) as well as enriched in social, but not unsocial, PS offspring, and vice versa. Numerous genes were affected by 5-Htt genotype, PS and most of all a GxE-interaction. Enrichment analysis using enrichr identified that the genotype affected mitochondrial respiration, while GxE-interaction-affected processes associated primarily with myelination and chromatin remodeling. We furthermore found that 5-Htt+/- mice showed profound expression changes of numerous genes in a genomic region located 10 mio kb upstream of the 5 Htt locus on the same chromosome. When looking at social vs. unsocial mice, we found that a much higher number of genes was regulated in 5 Htt+/- animals than in 5-Htt+/+ animals, reflecting the impact of GxE-interaction. Double the number of genes was regulated in social PS vs. control mice when compared to unsocial PS vs. control in both genotypes, suggesting that the successful adaption to PS might have required more active processes from the social group than the reaction to PS from the unsocial group. This notion is supported by the up-regulation of mitochondrial respiration in social, but not in unsocial, PS 5-Htt+/- mice when compared to controls, as those animals might have been able to raise energy resources the unsocial group was not. Next to this, processes associated with myelination seemed to be down-regulated in social 5-Htt+/- mice, but not in unsocial animals, when compared to controls. Taken together, PS exposure affected sociability and anxiety-like behavior dependent on the 5-Htt genotype in female offspring. Processes associated with myelination and epigenetic mechanisms involved in chromatin remodeling seemed be affected in a GxE-dependent manner in the hippocampus of these offspring. Our transcriptome data furthermore suggest that mitochondrial respiration and, with this, energy metabolism might be altered in 5-Htt+/- offspring when compared to 5-Htt+/+ offspring. Moreover, myelination and mitochondrial respiration might contribute to resilience towards PS exposure in 5-Htt+/- offspring, possibly by affecting brain connectivity and energy capabilities.
This compilation focuses on adolescent mental disorders and their prevention. It comprises three distinct studies, each contributing to a deeper understanding of this critical topic. This work addresses a critical gap in the understanding of, and approach to, adolescent mental health, and as a result reveals a critically important and urgently needed policy implication for action. The thematic structure of these studies begins with an examination of the epidemiology of child and adolescent mental disorders. Baseline data were collected from N = 877 adolescents with a mean age of 12.43 years (SD = 0.65). Mental health problems, such as depressive symptoms, non-suicidal self-injury, suicidal ideation, symptoms of eating disorders, and gender differences, are thoroughly examined. Results revealed a significant portion of our sample displaying mental health problems as early as the 6th and 7th grades, with girls generally being more affected than boys. The findings underscore the importance of early adolescence in the emergence of mental health problems and thereby emphasize the need for preventive measures. Moving beyond prevalence estimates, the compilation delves into the etiology of these disorders, exploring their potential correlation with a COVID-19 infection. Understanding the early signs and risk factors is crucial for timely support. While numerous studies have investigated potential risk and protective factors during the pandemic, our focus shifts to adolescents’ coping when an infection with the virus was involved (N = 2,154, M = 12.31, SD = 0.67). We hypothesized that students infected or with close family members infected, would exhibit an increased psychopathology and a decreased functioning of protective factors such as self-efficacy or self-esteem. We found no connection between infection and the mental health status within our sample, but protective factors and mental well-being were positively associated. Thus, universal primary prevention appears to be the preferred approach for promoting mental health. Lastly, the compilation introduces LessStress, a noteworthy contribution to more evidence-based prevention programs. This universal approach is designed to reduce stress in schools, accompanied by a cluster-randomized trial to evaluate its effectiveness (estimated sample size N = 1,894). Existing studies have demonstrated the effectiveness of stress prevention, leading us to introduce a short and easy-to-implement prevention program. There is positive evidence for one-lesson interventions in schools for promoting well-being and health behaviors among adolescents. LessStress is designed based on a life skills approach that not only imparts psychoeducational content but also teaches skills relevant to everyday life and directly applicable. Throughout these studies, a common thread emerges: the pressing need to address mental disorders during childhood and adolescence. These formative years play a pivotal role in the development of mental health problems. These formative years play a crucial role in the development of mental health problems. They highlight the importance of epidemiological data collection and analysis based on the latest models to develop prevention interventions that are not only effective but also reach young people on a global level.
Background:
Antidepressant drugs (ADs) have been shown to activate BDNF (brain-derived neurotrophic factor) receptor TrkB in the rodent brain but the mechanism underlying this phenomenon remains unclear. ADs act as monoamine reuptake inhibitors and after prolonged treatments regulate brain bdnf mRNA levels indicating that monoamine-BDNF signaling regulate AD-induced TrkB activation in vivo. However, recent findings demonstrate that Trk receptors can be transactivated independently of their neurotrophin ligands.
Methodology:
In this study we examined the role of BDNF, TrkB kinase activity and monoamine reuptake in the AD-induced TrkB activation in vivo and in vitro by employing several transgenic mouse models, cultured neurons and TrkB-expressing cell lines.
Principal Findings:
Using a chemical-genetic TrkB(F616A) mutant and TrkB overexpressing mice, we demonstrate that ADs specifically activate both the maturely and immaturely glycosylated forms of TrkB receptors in the brain in a TrkB kinase dependent manner. However, the tricyclic AD imipramine readily induced the phosphorylation of TrkB receptors in conditional bdnf(-/-) knock-out mice (132.4+/-8.5% of control; P = 0.01), indicating that BDNF is not required for the TrkB activation. Moreover, using serotonin transporter (SERT) deficient mice and chemical lesions of monoaminergic neurons we show that neither a functional SERT nor monoamines are required for the TrkB phosphorylation response induced by the serotonin selective reuptake inhibitors fluoxetine or citalopram, or norepinephrine selective reuptake inhibitor reboxetine. However, neither ADs nor monoamine transmitters activated TrkB in cultured neurons or cell lines expressing TrkB receptors, arguing that ADs do not directly bind to TrkB.
Conclusions:
The present findings suggest that ADs transactivate brain TrkB receptors independently of BDNF and monoamine reuptake blockade and emphasize the need of an intact tissue context for the ability of ADs to induce TrkB activity in brain.
Anxiety and depressive disorders result from a complex interplay of genetic and environmental factors and are common mutual comorbidities. On the level of cellular signaling, regulator of G protein signaling 2 (Rgs2) has been implicated in human and rodent anxiety as well as rodent depression. Rgs2 negatively regulates G protein-coupled receptor (GPCR) signaling by acting as a GTPase accelerating protein towards the Gα subunit.
The present study investigates, whether mice with a homozygous Rgs2 deletion (Rgs2-/-) show behavioral alterations as well as an increased susceptibility to stressful life events related to human anxiety and depressive disorders and tries to elucidate molecular underlying’s of these changes.
To this end, Rgs2-/- mice were characterized in an aversive-associative learning paradigm to evaluate learned fear as a model for the etiology of human anxiety disorders. Spatial learning and reward motivated spatial learning were evaluated to control for learning in non-aversive paradigms. Rgs2 deletion enhanced learning in all three paradigms, rendering increased learning upon deletion of Rgs2 not specific for aversive learning. These data support reports indicating increased long-term potentiation in Rgs2-/- mice and may predict treatment response to conditioning based behavior therapy in patients with polymorphisms associated with reduced RGS2 expression. Previous reports of increased innate anxiety were corroborated in three tests based on the approach-avoidance conflict. Interestingly, Rgs2-/- mice showed novelty-induced hypo-locomotion suggesting neophobia, which may translate to the clinical picture of agoraphobia in humans and reduced RGS2 expression in humans was associated with a higher incidence of panic disorder with agoraphobia. Depression-like behavior was more distinctive in female Rgs2-/- mice. Stress resilience, tested in an acute and a chronic stress paradigm, was also more distinctive in female Rgs2-/- mice, suggesting Rgs2 to contribute to sex specific effects of anxiety disorders and depression.
Rgs2 deletion was associated with GPCR expression changes of the adrenergic, serotonergic, dopaminergic and neuropeptide Y systems in the brain and heart as well as reduced monoaminergic neurotransmitter levels. Furthermore, the expression of two stress-related microRNAs was increased upon Rgs2 deletion. The aversive-associative learning paradigm induced a dynamic Rgs2 expression change. The observed molecular changes may contribute to the anxious and depressed phenotype as well as promote altered stress reactivity, while reflecting an alter basal stress level and a disrupted sympathetic tone. Dynamic Rgs2 expression may mediate changes in GPCR signaling duration during memory formation.
Taken together, Rgs2 deletion promotes increased anxiety-like and depression-like behavior, altered stress reactivity as well as increased cognitive function.
Pattern recognition approaches, such as the Support Vector Machine (SVM), have been successfully used to classify groups of individuals based on their patterns of brain activity or structure. However these approaches focus on finding group differences and are not applicable to situations where one is interested in accessing deviations from a specific class or population. In the present work we propose an application of the one-class SVM (OC-SVM) to investigate if patterns of fMRI response to sad facial expressions in depressed patients would be classified as outliers in relation to patterns of healthy control subjects. We defined features based on whole brain voxels and anatomical regions. In both cases we found a significant correlation between the OC-SVM predictions and the patients' Hamilton Rating Scale for Depression (HRSD), i.e. the more depressed the patients were the more of an outlier they were. In addition the OC-SVM split the patient groups into two subgroups whose membership was associated with future response to treatment. When applied to region-based features the OC-SVM classified 52% of patients as outliers. However among the patients classified as outliers 70% did not respond to treatment and among those classified as non-outliers 89% responded to treatment. In addition 89% of the healthy controls were classified as non-outliers.
Background: The rapid progress of psychosomatic research in cardiology and also the increasing impact of psychosocial issues in the clinical daily routine have prompted the Clinical Commission of the German Heart Society (DGK) to agree to an update of the first state of the art paper on this issue which was originally released in 2008.
Methods: The circle of experts was increased, general aspects were implemented and the state of the art was updated. Particular emphasis was dedicated to coronary heart diseases (CHD), heart rhythm diseases and heart failure because to date the evidence-based clinical knowledge is most advanced in these particular areas. Differences between men and women and over the life span were considered in the recommendations as were influences of cognitive capability and the interactive and synergistic impact of classical somatic risk factors on the affective comorbidity in heart disease patients.
Results: A IA recommendation (recommendation grade I and evidence grade A) was given for the need to consider psychosocial risk factors in the estimation of coronary risks as etiological and prognostic risk factors. Furthermore, for the recommendation to routinely integrate psychosocial patient management into the care of heart surgery patients because in these patients, comorbid affective disorders (e.g. depression, anxiety and post-traumatic stress disorder) are highly prevalent and often have a malignant prognosis. A IB recommendation was given for the treatment of psychosocial risk factors aiming to prevent the onset of CHD, particularly if the psychosocial risk factor is harmful in itself (e.g. depression) or constrains the treatment of the somatic risk factors. Patients with acute and chronic CHD should be offered anti-depressive medication if these patients suffer from medium to severe states of depression and in this case medication with selective reuptake inhibitors should be given. In the long-term course of treatment with implanted cardioverter defibrillators (ICDs) a subjective health technology assessment is warranted. In particular, the likelihood of affective comorbidities and the onset of psychological crises should be carefully considered.
Conclusions: The present state of the art paper presents an update of current empirical evidence in psychocardiology. The paper provides evidence-based recommendations for the integration of psychosocial factors into cardiological practice and highlights areas of high priority. The evidence for estimating the efficiency for psychotherapeutic and psychopharmacological interventions has increased substantially since the first release of the policy document but is, however, still weak. There remains an urgent need to establish curricula for physician competence in psychodiagnosis, communication and referral to ensure that current psychocardiac knowledge is translated into the daily routine.
Welcome to the inaugural meeting of the International Society for Nutritional Psychiatry Research (ISNPR).
It is a great pleasure to have the opportunity to join with colleagues working in this new and exciting field of research. Although there has long been interest in the links between nutritional deficiencies and psychiatric illness, as well as interest in the role of food allergies in such illnesses, the last five years has seen a significant and notable growth in this nascent field of research, with an accompanying impact on the viewpoints and practices of scientists and clinicians working in mental health.
In my particular field of interest – that of the role of overall dietary quality in the common mental disorders, depression and anxiety - there has been an exponential growth in the literature since the end of 2009. It is exciting and gratifying to see concordant results from across the globe, in young children and adolescents through to older adults, and from countries as diverse as Norway and Taiwan.
The study of the efficacy of nutritional interventions in psychiatric illness is also developing rapidly, with high quality randomised controlled trials now being conducted in multiple settings and with outcomes that include cognition as well as depression, bipolar disorder, schizophrenia and anxiety disorders. Another important development in this field is the rapidly growing recognition that nutrition is of central importance in the risk for cognitive decline and dementia. As this new recognition filters through to clinical researchers, I look forward to seeing new interventions in this area.
Another area of research with significant interest and activity grows from the understanding of the centrality of physical health to mental health and vice versa. There are many nutrition researchers, dietitians and other health practitioners working to address the physical health of patients with mental illness; acting on the recognition that physical and mental health are closely related and mutually reinforcing.
There is no doubt that the formation of an international society is timely; we now have the opportunity to join forces to share knowledge and build important collaborations. Building capacity in this field by sharing our knowledge with students and early career researchers will be another important activity of our society, as will building the credibility of nutritional psychiatry research through a clear understanding and implementation of best practice scientific methodology.
I welcome each of you to extend the invitation to join our new ISNPR to colleagues and students in your networks. I would also encourage you to contribute to the discussions and sharing of knowledge by contributing short pieces to our newsletter, which will be disseminated by the end of this year. For those who are unable to attend this year’s meeting, we hope that 2014 may present a possibility for attendance.
Our aim is conduct our first Annual General Meeting before the end of July 2013 via teleconference and I welcome agenda items from those interested.
With very best wishes
Felice Jacka
President ISNPR
Integrating neurobiological markers of depression: an fMRI-based pattern classification approach
(2010)
While depressive disorders are, to date, diagnosed based on behavioral symptoms and course of illness, the interest in neurobiological markers of psychiatric disorders has grown substantially in recent years. However, current classification approaches are mainly based on data from a single biomarker, making it difficult to predict diseases such as depression which are characterized by a complex pattern of symptoms. Accordingly, none of the previously investigated single biomarkers has shown sufficient predictive power for practical application. In this work, we therefore propose an algorithm which integrates neuroimaging data associated with multiple, symptom-related neural processes relevant in depression to improve classification accuracy. First, we identified the core-symptoms of depression from standard classification systems. Then, we designed and conducted three experimental paradigms probing psychological processes known to be related to these symptoms using functional Magnetic Resonance Imaging. In order to integrate the resulting 12 high-dimensional biomarkers, we developed a multi-source pattern recognition algorithm based on a combination of Gaussian Process Classifiers and decision trees. Applying this approach to a group of 30 healthy controls and 30 depressive in-patients who were on a variety of medications and displayed varying degrees of symptom-severity allowed for high-accuracy single-subject classification. Specifically, integrating biomarkers yielded an accuracy of 83% while the best of the 12 single biomarkers alone classified a significantly lower number of subjects (72%) correctly. Thus, integrated biomarker-based classification of a heterogeneous, real-life sample resulted in accuracy comparable to the highest ever achieved in previous single biomarker research. Furthermore, investigation of the final prediction model revealed that neural activation during the processing of neutral facial expressions, large rewards, and safety cues is most relevant for over-all classification. We conclude that combining brain activation related to the core-symptoms of depression using the multi-source pattern classification approach developed in this work substantially increases classification accuracy while providing a sparse relational biomarker-model for future prediction.