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Dive into the research topics where Stefan Ehrlich is active.

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Featured researches published by Stefan Ehrlich.


Molecular Psychiatry | 2016

Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium

T G M van Erp; Derrek P. Hibar; Jerod Rasmussen; David C. Glahn; Godfrey D. Pearlson; Ole A. Andreassen; Ingrid Agartz; Lars T. Westlye; Unn K. Haukvik; Anders M. Dale; Ingrid Melle; Cecilie B. Hartberg; Oliver Gruber; Bernd Kraemer; David Zilles; Gary Donohoe; Sinead Kelly; Colm McDonald; Derek W. Morris; Dara M. Cannon; Aiden Corvin; Marise W J Machielsen; Laura Koenders; L. de Haan; Dick J. Veltman; Theodore D. Satterthwaite; Daniel H. Wolf; R.C. Gur; Raquel E. Gur; Steve Potkin

The profile of brain structural abnormalities in schizophrenia is still not fully understood, despite decades of research using brain scans. To validate a prospective meta-analysis approach to analyzing multicenter neuroimaging data, we analyzed brain MRI scans from 2028 schizophrenia patients and 2540 healthy controls, assessed with standardized methods at 15 centers worldwide. We identified subcortical brain volumes that differentiated patients from controls, and ranked them according to their effect sizes. Compared with healthy controls, patients with schizophrenia had smaller hippocampus (Cohen’s d=−0.46), amygdala (d=−0.31), thalamus (d=−0.31), accumbens (d=−0.25) and intracranial volumes (d=−0.12), as well as larger pallidum (d=0.21) and lateral ventricle volumes (d=0.37). Putamen and pallidum volume augmentations were positively associated with duration of illness and hippocampal deficits scaled with the proportion of unmedicated patients. Worldwide cooperative analyses of brain imaging data support a profile of subcortical abnormalities in schizophrenia, which is consistent with that based on traditional meta-analytic approaches. This first ENIGMA Schizophrenia Working Group study validates that collaborative data analyses can readily be used across brain phenotypes and disorders and encourages analysis and data sharing efforts to further our understanding of severe mental illness.


Molecular Psychiatry | 2014

A genome-wide association study of anorexia nervosa

Vesna Boraska; Jab Floyd; Lorraine Southam; N W Rayner; Ioanna Tachmazidou; Stephanie Zerwas; Osp Davis; Sietske G. Helder; R Burghardt; K Egberts; Stefan Ehrlich; Susann Scherag; Nicolas Ramoz; Judith Hendriks; Eric Strengman; A. van Elburg; A Bruson; Maurizio Clementi; M Forzan; E Tenconi; Elisa Docampo; Geòrgia Escaramís; A Rajewski; A Slopien; Leila Karhunen; Ingrid Meulenbelt; Mario Maj; Artemis Tsitsika; L Slachtova; Zeynep Yilmaz

Anorexia nervosa (AN) is a complex and heritable eating disorder characterized by dangerously low body weight. Neither candidate gene studies nor an initial genome-wide association study (GWAS) have yielded significant and replicated results. We performed a GWAS in 2907 cases with AN from 14 countries (15 sites) and 14 860 ancestrally matched controls as part of the Genetic Consortium for AN (GCAN) and the Wellcome Trust Case Control Consortium 3 (WTCCC3). Individual association analyses were conducted in each stratum and meta-analyzed across all 15 discovery data sets. Seventy-six (72 independent) single nucleotide polymorphisms were taken forward for in silico (two data sets) or de novo (13 data sets) replication genotyping in 2677 independent AN cases and 8629 European ancestry controls along with 458 AN cases and 421 controls from Japan. The final global meta-analysis across discovery and replication data sets comprised 5551 AN cases and 21 080 controls. AN subtype analyses (1606 AN restricting; 1445 AN binge–purge) were performed. No findings reached genome-wide significance. Two intronic variants were suggestively associated: rs9839776 (P=3.01 × 10−7) in SOX2OT and rs17030795 (P=5.84 × 10−6) in PPP3CA. Two additional signals were specific to Europeans: rs1523921 (P=5.76 × 10−6) between CUL3 and FAM124B and rs1886797 (P=8.05 × 10−6) near SPATA13. Comparing discovery with replication results, 76% of the effects were in the same direction, an observation highly unlikely to be due to chance (P=4 × 10−6), strongly suggesting that true findings exist but our sample, the largest yet reported, was underpowered for their detection. The accrual of large genotyped AN case-control samples should be an immediate priority for the field.


Schizophrenia Bulletin | 2011

Global White Matter Abnormalities in Schizophrenia: A Multisite Diffusion Tensor Imaging Study

Tonya White; Vincent A. Magnotta; H. Jeremy Bockholt; Sumner Williams; Stuart Wallace; Stefan Ehrlich; Bryon A. Mueller; Beng-Choon Ho; Rex E. Jung; Vincent P. Clark; John Lauriello; Juan Bustillo; S. Charles Schulz; Randy L. Gollub; Nancy C. Andreasen; Vince D. Calhoun; Kelvin O. Lim

BACKGROUND Emerging evidence implicates white matter (WM) abnormalities in the pathophysiology of schizophrenia. However, there is considerable heterogeneity in the presentation of WM abnormalities in the existing studies. The object of this study was to evaluate WM integrity in a large sample of patients with first-episode (FE) and chronic schizophrenia in comparison to matched control groups. Our goal was to assess whether WM findings occurred early in the illness or whether these abnormalities developed with the illness over time. METHODS Participants included 114 patients with schizophrenia (31 FE and 83 chronic patients) and 138 matched controls. High-resolution structural and diffusion tensor images were obtained on all participants. Measures of fractional anisotropy (FA) were calculated for the 4 cortical lobes and the cerebellum and brain stem. RESULTS FA was significant lower in patients vs controls in the whole brain and individually in the frontal, parietal, occipital, and temporal lobes. FA was not significantly different in the brain stem or cerebellum. FA differences were significant only in patients with chronic schizophrenia and not in the FE group. CONCLUSIONS We found global differences in the WM microstructure in patients with chronic but not FE schizophrenia. These findings suggest progressive alterations in WM microstructure.


Schizophrenia Bulletin | 2012

Associations of Cortical Thickness and Cognition in Patients With Schizophrenia and Healthy Controls

Stefan Ehrlich; Stefan Brauns; Anastasia Yendiki; Beng-Choon Ho; Vince D. Calhoun; S. Charles Schulz; Randy L. Gollub; Scott R. Sponheim

Previous studies have found varying relationships between cognitive functioning and brain volumes in patients with schizophrenia. However, cortical thickness may more closely reflect cytoarchitectural characteristics than gray matter density or volume estimates. Here, we aimed to compare associations between regional variation in cortical thickness and executive functions, memory, as well as verbal and spatial processing in patients with schizophrenia and healthy controls (HCs). We obtained magnetic resonance imaging and neuropsychological data for 131 patients and 138 matched controls. Automated cortical pattern matching methods allowed testing for associations with cortical thickness estimated as the shortest distance between the gray/white matter border and the pial surface at thousands of points across the entire cortical surface. Two independent measures of working memory showed robust associations with cortical thickness in lateral prefrontal cortex in HCs, whereas patients exhibited associations between working memory and cortical thickness in the right middle and superior temporal lobe. This study provides additional evidence for a disrupted structure-function relationship in schizophrenia. In line with the prefrontal inefficiency hypothesis, schizophrenia patients may engage a larger compensatory network of brain regions other than frontal cortex to recall and manipulate verbal material in working memory.


Schizophrenia Bulletin | 2016

Correspondence of DNA Methylation Between Blood and Brain Tissue and its Application to Schizophrenia Research

Esther Walton; Johanna Hass; Jingyu Liu; Joshua L. Roffman; Fabio Bernardoni; Veit Roessner; Gabriele Schackert; Vince D. Calhoun; Stefan Ehrlich

Given the difficulty of procuring human brain tissue, a key question in molecular psychiatry concerns the extent to which epigenetic signatures measured in more accessible tissues such as blood can serve as a surrogate marker for the brain. Here, we aimed (1) to investigate the blood-brain correspondence of DNA methylation using a within-subject design and (2) to identify changes in DNA methylation of brain-related biological pathways in schizophrenia.We obtained paired blood and temporal lobe biopsy samples simultaneously from 12 epilepsy patients during neurosurgical treatment. Using the Infinium 450K methylation array we calculated similarity of blood and brain DNA methylation for each individual separately. We applied our findings by performing gene set enrichment analyses (GSEA) of peripheral blood DNA methylation data (Infinium 27K) of 111 schizophrenia patients and 122 healthy controls and included only Cytosine-phosphate-Guanine (CpG) sites that were significantly correlated across tissues.Only 7.9% of CpG sites showed a statistically significant, large correlation between blood and brain tissue, a proportion that although small was significantly greater than predicted by chance. GSEA analysis of schizophrenia data revealed altered methylation profiles in pathways related to precursor metabolites and signaling peptides.Our findings indicate that most DNA methylation markers in peripheral blood do not reliably predict brain DNA methylation status. However, a subset of peripheral data may proxy methylation status of brain tissue. Restricting the analysis to these markers can identify meaningful epigenetic differences in schizophrenia and potentially other brain disorders.


Schizophrenia Bulletin | 2015

Patterns of Gray Matter Abnormalities in Schizophrenia Based on an International Mega-analysis

Cota Navin Gupta; Vince D. Calhoun; Srinivas Rachakonda; Jiayu Chen; Veena Patel; Jingyu Liu; Judith M. Segall; Barbara Franke; Marcel P. Zwiers; Alejandro Arias-Vasquez; Jan K. Buitelaar; Simon E. Fisher; Guillén Fernández; Theo G.M. van Erp; Steven G. Potkin; Judith M. Ford; Daniel H. Mathalon; Sarah McEwen; Hyo Jong Lee; Bryon A. Mueller; Douglas N. Greve; Ole A. Andreassen; Ingrid Agartz; Randy L. Gollub; Scott R. Sponheim; Stefan Ehrlich; Lei Wang; Godfrey D. Pearlson; David C. Glahn; Emma Sprooten

Analyses of gray matter concentration (GMC) deficits in patients with schizophrenia (Sz) have identified robust changes throughout the cortex. We assessed the relationships between diagnosis, overall symptom severity, and patterns of gray matter in the largest aggregated structural imaging dataset to date. We performed both source-based morphometry (SBM) and voxel-based morphometry (VBM) analyses on GMC images from 784 Sz and 936 controls (Ct) across 23 scanning sites in Europe and the United States. After correcting for age, gender, site, and diagnosis by site interactions, SBM analyses showed 9 patterns of diagnostic differences. They comprised separate cortical, subcortical, and cerebellar regions. Seven patterns showed greater GMC in Ct than Sz, while 2 (brainstem and cerebellum) showed greater GMC for Sz. The greatest GMC deficit was in a single pattern comprising regions in the superior temporal gyrus, inferior frontal gyrus, and medial frontal cortex, which replicated over analyses of data subsets. VBM analyses identified overall cortical GMC loss and one small cluster of increased GMC in Sz, which overlapped with the SBM brainstem component. We found no significant association between the component loadings and symptom severity in either analysis. This mega-analysis confirms that the commonly found GMC loss in Sz in the anterior temporal lobe, insula, and medial frontal lobe form a single, consistent spatial pattern even in such a diverse dataset. The separation of GMC loss into robust, repeatable spatial patterns across multiple datasets paves the way for the application of these methods to identify subtle genetic and clinical cohort effects.


Journal of Psychiatric Research | 2010

Promoter specific DNA methylation and gene expression of POMC in acutely underweight and recovered patients with anorexia nervosa

Stefan Ehrlich; Deike Weiss; Roland Burghardt; Carmen Infante-Duarte; Simone Brockhaus; Marc Muschler; Stefan Bleich; Ulrike Lehmkuhl; Helge Frieling

Proopiomelanocortin (POMC) and its derived peptides, in particular alpha-MSH, have been shown to play a crucial role in the regulation of hunger, satiety and energy homeostasis. Studies in patients with anorexia nervosa (AN) suggest an abnormal expression of appetite-regulating hormones. Hormone expression levels may be modulated by epigenetic mechanisms, which were recently shown to be implicated in the pathophysiology of eating disorders. We hypothesised that POMC promoter specific DNA methylation and gene expression will be affected by malnutrition and therefore differ in AN patients at distinct stages of the disorder. Promoter specific DNA methylation of the POMC gene and expression of POMC mRNA variants were determined in peripheral blood mononuclear cells (PBMC) of 30 healthy control women (HCW), 31 underweight (acAN) and 30 weight-recovered patients with AN (recAN). Malnutrition was characterized by plasma leptin. Expression of the functionally relevant long POMC mRNA transcript was significantly correlated with leptin levels and higher in acAN compared to recAN and HCW. Expression of the truncated form and mean promoter DNA methylation was similar in all three subgroups. Methylation of single CpG residues in the E2F binding site was inversely related to POMC expression. Our preliminary data on pattern of POMC regulation suggests an association with the underweight state rather than with persisting trait markers of AN. In contrast to POMC expression in the central nervous system, peripheral POMC mRNA expression decreased with malnutrition and hypoleptinemia. This may represent a counterregulatory mechanism as part of the crosstalk between the immune and neuroendocrine systems.


Nature Neuroscience | 2016

Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept.

Barbara Franke; Jason L. Stein; Stephan Ripke; Verneri Anttila; Derrek P. Hibar; van Hulzen Kje.; Alejandro Arias-Vasquez; Jordan W. Smoller; Thomas E. Nichols; Michael C. Neale; Andrew M. McIntosh; Phil H. Lee; Francis J. McMahon; Andreas Meyer-Lindenberg; Manuel Mattheisen; Ole A. Andreassen; Oliver Gruber; Perminder S. Sachdev; Roberto Roiz-Santiañez; Andrew J. Saykin; Stefan Ehrlich; Karen A. Mather; Jessica A. Turner; Emanuel Schwarz; Anbupalam Thalamuthu; Yin Yao Shugart; Yvonne Y.W. Ho; Nicholas G. Martin; Margaret J. Wright; Michael Conlon O'Donovan

Schizophrenia is a devastating psychiatric illness with high heritability. Brain structure and function differ, on average, between people with schizophrenia and healthy individuals. As common genetic associations are emerging for both schizophrenia and brain imaging phenotypes, we can now use genome-wide data to investigate genetic overlap. Here we integrated results from common variant studies of schizophrenia (33,636 cases, 43,008 controls) and volumes of several (mainly subcortical) brain structures (11,840 subjects). We did not find evidence of genetic overlap between schizophrenia risk and subcortical volume measures either at the level of common variant genetic architecture or for single genetic markers. These results provide a proof of concept (albeit based on a limited set of structural brain measures) and define a roadmap for future studies investigating the genetic covariance between structural or functional brain phenotypes and risk for psychiatric disorders.


NeuroImage | 2009

The COMT Val108/158Met Polymorphism and Medial Temporal Lobe Volumetry in Patients with Schizophrenia and Healthy Adults

Stefan Ehrlich; Eric M. Morrow; Joshua L. Roffman; Stuart Wallace; Melissa Naylor; H. Jeremy Bockholt; Antonia Lundquist; Anastasia Yendiki; Beng-Choon Ho; Tonya White; Dara S. Manoach; Vincent P. Clark; Vince D. Calhoun; Randy L. Gollub; Daphne J. Holt

Abnormalities of the medial temporal lobe have been consistently demonstrated in schizophrenia. A common functional polymorphism, Val108/158Met, in the putative schizophrenia susceptibility gene, catechol-O-methyltransferase (COMT), has been shown to influence medial temporal lobe function. However, the effects of this polymorphism on volumes of medial temporal lobe structures, particularly in patients with schizophrenia, are less clear. Here we measured the effects of COMT Val108/158Met genotype on the volume of two regions within the medial temporal lobe, the amygdala and hippocampus, in patients with schizophrenia and healthy control subjects. We obtained MRI and genotype data for 98 schizophrenic patients and 114 matched controls. An automated atlas-based segmentation algorithm was used to generate volumetric measures of the amygdala and hippocampus. Regression analyses included COMT met allele load as an additive effect, and also controlled for age, intracranial volume, gender and acquisition site. Across patients and controls, each copy of the COMT met allele was associated on average with a 2.6% increase in right amygdala volume, a 3.8% increase in left amygdala volume and a 2.2% increase in right hippocampus volume. There were no effects of COMT genotype on volumes of the whole brain and prefrontal regions. Thus, the COMT Val108/158Met polymorphism was shown to influence medial temporal lobe volumes in a linear-additive manner, mirroring its effect on dopamine catabolism. Taken together with previous work, our data support a model in which lower COMT activity, and a resulting elevation in extracellular dopamine levels, stimulates growth of medial temporal lobe structures.


Schizophrenia Bulletin | 2014

Methylation Patterns in Whole Blood Correlate With Symptoms in Schizophrenia Patients

Jingyu Liu; Jiayu Chen; Stefan Ehrlich; Esther Walton; Tonya White; Nora I. Perrone-Bizzozero; Juan Bustillo; Jessica A. Turner; Vince D. Calhoun

DNA methylation, one of the main epigenetic mechanisms to regulate gene expression, appears to be involved in the development of schizophrenia (SZ). In this study, we investigated 7562 DNA methylation markers in blood from 98 SZ patients and 108 healthy controls. A linear regression model including age, gender, race, alcohol, nicotine and cannabis use status, and diagnosis was implemented to identify C-phosphate-G (CpG) sites significantly associated with diagnosis. These CpG sites were further validated using an independent data set. Sixteen CpG sites were identified with hyper- or hypomethylation in patients. A further verification of expression of the corresponding genes identified 7 genes whose expression levels were also significantly altered in patients. While such altered methylation patterns showed no correlation with disorganized symptoms and negative symptoms in patients, 11 CpG sites significantly correlated with reality distortion symptoms. The direction of the correlations indicates that methylation changes possibly play a protective mechanism to lessen delusion and hallucination symptoms in patients. Pathway analyses showed that the most significant biological function of the differentially methylated CpGs is inflammatory response with CD224, LAX1, TXK, PRF1, CD7, MPG, and MPO genes directly involved in activations of T cells, B cells, and natural killer cells or in cytotoxic reaction. Our results suggest that such methylation changes may modulate aspects of the immune response and hence protect against the neurobiological substrate of reality distortion symptoms in SZ patients.

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Veit Roessner

Dresden University of Technology

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Daniel Geisler

Dresden University of Technology

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Joseph A. King

Dresden University of Technology

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Esther Walton

Georgia State University

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Maria Seidel

Dresden University of Technology

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Franziska Ritschel

Dresden University of Technology

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