TY - JOUR A1 - Ziegler, C. A1 - Richter, J. A1 - Mahr, M. A1 - Gajewska, A. A1 - Schiele, M.A. A1 - Gehrmann, A. A1 - Schmidt, B. A1 - Lesch, K.-P. A1 - Lang, T. A1 - Helbig-Lang, S. A1 - Pauli, P. A1 - Kircher, T. A1 - Reif, A. A1 - Rief, W. A1 - Vossbeck-Elsebusch, A.N. A1 - Arolt, V. A1 - Wittchen, H.-U. A1 - Hamm, A.O. A1 - Deckert, J. A1 - Domschke, K. T1 - MAOA gene hypomethylation in panic disorder-reversibility of an epigenetic risk pattern by psychotherapy JF - Translational Psychiatry N2 - Epigenetic signatures such as methylation of the monoamine oxidase A (MAOA) gene have been found to be altered in panic disorder (PD). Hypothesizing temporal plasticity of epigenetic processes as a mechanism of successful fear extinction, the present psychotherapy-epigenetic study for we believe the first time investigated MAOA methylation changes during the course of exposure-based cognitive behavioral therapy (CBT) in PD. MAOA methylation was compared between N=28 female Caucasian PD patients (discovery sample) and N=28 age- and sex-matched healthy controls via direct sequencing of sodium bisulfite-treated DNA extracted from blood cells. MAOA methylation was furthermore analyzed at baseline (T0) and after a 6-week CBT (T1) in the discovery sample parallelized by a waiting time in healthy controls, as well as in an independent sample of female PD patients (N=20). Patients exhibited lower MAOA methylation than healthy controls (P<0.001), and baseline PD severity correlated negatively with MAOA methylation (P=0.01). In the discovery sample, MAOA methylation increased up to the level of healthy controls along with CBT response (number of panic attacks; T0-T1: +3.37±2.17%), while non-responders further decreased in methylation (-2.00±1.28%; P=0.001). In the replication sample, increases in MAOA methylation correlated with agoraphobic symptom reduction after CBT (P=0.02-0.03). The present results support previous evidence for MAOA hypomethylation as a PD risk marker and suggest reversibility of MAOA hypomethylation as a potential epigenetic correlate of response to CBT. The emerging notion of epigenetic signatures as a mechanism of action of psychotherapeutic interventions may promote epigenetic patterns as biomarkers of lasting extinction effects. KW - Adult KW - Case-Control Studies KW - Cognitive Therapy KW - DNA Methylation KW - Epigenesis KW - Genetic KW - Female KW - Humans KW - Monoamine Oxidase/genetics KW - Panic Disorder/genetics KW - Panic Disorder/therapy KW - Sequence Analysis KW - DNA Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-164422 IS - 6 ER - TY - JOUR A1 - Postema, Merel C. A1 - Hoogman, Martine A1 - Ambrosino, Sara A1 - Asherson, Philip A1 - Banaschewski, Tobias A1 - Bandeira, Cibele E. A1 - Baranov, Alexandr A1 - Bau, Claiton H.D. A1 - Baumeister, Sarah A1 - Baur‐Streubel, Ramona A1 - Bellgrove, Mark A. A1 - Biederman, Joseph A1 - Bralten, Janita A1 - Brandeis, Daniel A1 - Brem, Silvia A1 - Buitelaar, Jan K. A1 - Busatto, Geraldo F. A1 - Castellanos, Francisco X. A1 - Cercignani, Mara A1 - Chaim‐Avancini, Tiffany M. A1 - Chantiluke, Kaylita C. A1 - Christakou, Anastasia A1 - Coghill, David A1 - Conzelmann, Annette A1 - Cubillo, Ana I. A1 - Cupertino, Renata B. A1 - de Zeeuw, Patrick A1 - Doyle, Alysa E. A1 - Durston, Sarah A1 - Earl, Eric A. A1 - Epstein, Jeffery N. A1 - Ethofer, Thomas A1 - Fair, Damien A. A1 - Fallgatter, Andreas J. A1 - Faraone, Stephen V. A1 - Frodl, Thomas A1 - Gabel, Matt C. A1 - Gogberashvili, Tinatin A1 - Grevet, Eugenio H. A1 - Haavik, Jan A1 - Harrison, Neil A. A1 - Hartman, Catharina A. A1 - Heslenfeld, Dirk J. A1 - Hoekstra, Pieter J. A1 - Hohmann, Sarah A1 - Høvik, Marie F. A1 - Jernigan, Terry L. A1 - Kardatzki, Bernd A1 - Karkashadze, Georgii A1 - Kelly, Clare A1 - Kohls, Gregor A1 - Konrad, Kerstin A1 - Kuntsi, Jonna A1 - Lazaro, Luisa A1 - Lera‐Miguel, Sara A1 - Lesch, Klaus‐Peter A1 - Louza, Mario R. A1 - Lundervold, Astri J. A1 - Malpas, Charles B A1 - Mattos, Paulo A1 - McCarthy, Hazel A1 - Namazova‐Baranova, Leyla A1 - Nicolau, Rosa A1 - Nigg, Joel T. A1 - Novotny, Stephanie E. A1 - Oberwelland Weiss, Eileen A1 - O'Gorman Tuura, Ruth L. A1 - Oosterlaan, Jaap A1 - Oranje, Bob A1 - Paloyelis, Yannis A1 - Pauli, Paul A1 - Picon, Felipe A. A1 - Plessen, Kerstin J. A1 - Ramos‐Quiroga, J. Antoni A1 - Reif, Andreas A1 - Reneman, Liesbeth A1 - Rosa, Pedro G.P. A1 - Rubia, Katya A1 - Schrantee, Anouk A1 - Schweren, Lizanne J.S. A1 - Seitz, Jochen A1 - Shaw, Philip A1 - Silk, Tim J. A1 - Skokauskas, Norbert A1 - Soliva Vila, Juan C. A1 - Stevens, Michael C. A1 - Sudre, Gustavo A1 - Tamm, Leanne A1 - Tovar‐Moll, Fernanda A1 - van Erp, Theo G.M. A1 - Vance, Alasdair A1 - Vilarroya, Oscar A1 - Vives‐Gilabert, Yolanda A1 - von Polier, Georg G. A1 - Walitza, Susanne A1 - Yoncheva, Yuliya N. A1 - Zanetti, Marcus V. A1 - Ziegler, Georg C. A1 - Glahn, David C. A1 - Jahanshad, Neda A1 - Medland, Sarah E. A1 - Thompson, Paul M. A1 - Fisher, Simon E. A1 - Franke, Barbara A1 - Francks, Clyde T1 - Analysis of structural brain asymmetries in attention‐deficit/hyperactivity disorder in 39 datasets JF - Journal of Child Psychology and Psychiatry N2 - Objective Some studies have suggested alterations of structural brain asymmetry in attention‐deficit/hyperactivity disorder (ADHD), but findings have been contradictory and based on small samples. Here, we performed the largest ever analysis of brain left‐right asymmetry in ADHD, using 39 datasets of the ENIGMA consortium. Methods We analyzed asymmetry of subcortical and cerebral cortical structures in up to 1,933 people with ADHD and 1,829 unaffected controls. Asymmetry Indexes (AIs) were calculated per participant for each bilaterally paired measure, and linear mixed effects modeling was applied separately in children, adolescents, adults, and the total sample, to test exhaustively for potential associations of ADHD with structural brain asymmetries. Results There was no evidence for altered caudate nucleus asymmetry in ADHD, in contrast to prior literature. In children, there was less rightward asymmetry of the total hemispheric surface area compared to controls (t = 2.1, p = .04). Lower rightward asymmetry of medial orbitofrontal cortex surface area in ADHD (t = 2.7, p = .01) was similar to a recent finding for autism spectrum disorder. There were also some differences in cortical thickness asymmetry across age groups. In adults with ADHD, globus pallidus asymmetry was altered compared to those without ADHD. However, all effects were small (Cohen’s d from −0.18 to 0.18) and would not survive study‐wide correction for multiple testing. Conclusion Prior studies of altered structural brain asymmetry in ADHD were likely underpowered to detect the small effects reported here. Altered structural asymmetry is unlikely to provide a useful biomarker for ADHD, but may provide neurobiological insights into the trait. KW - attention‐deficit KW - hyperactivity disorder KW - brain asymmetry KW - brain laterality KW - structural MRI KW - large‐scale data Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-239968 VL - 62 IS - 10 SP - 1202 EP - 1219 ER - TY - JOUR A1 - Ziegler, Alice A1 - Meyer, Hanna A1 - Otte, Insa A1 - Peters, Marcell K. A1 - Appelhans, Tim A1 - Behler, Christina A1 - Böhning-Gaese, Katrin A1 - Classen, Alice A1 - Detsch, Florian A1 - Deckert, Jürgen A1 - Eardley, Connal D. A1 - Ferger, Stefan W. A1 - Fischer, Markus A1 - Gebert, Friederike A1 - Haas, Michael A1 - Helbig-Bonitz, Maria A1 - Hemp, Andreas A1 - Hemp, Claudia A1 - Kakengi, Victor A1 - Mayr, Antonia V. A1 - Ngereza, Christine A1 - Reudenbach, Christoph A1 - Röder, Juliane A1 - Rutten, Gemma A1 - Schellenberger Costa, David A1 - Schleuning, Matthias A1 - Ssymank, Axel A1 - Steffan-Dewenter, Ingolf A1 - Tardanico, Joseph A1 - Tschapka, Marco A1 - Vollstädt, Maximilian G. R. A1 - Wöllauer, Stephan A1 - Zhang, Jie A1 - Brandl, Roland A1 - Nauss, Thomas T1 - Potential of airborne LiDAR derived vegetation structure for the prediction of animal species richness at Mount Kilimanjaro JF - Remote Sensing N2 - The monitoring of species and functional diversity is of increasing relevance for the development of strategies for the conservation and management of biodiversity. Therefore, reliable estimates of the performance of monitoring techniques across taxa become important. Using a unique dataset, this study investigates the potential of airborne LiDAR-derived variables characterizing vegetation structure as predictors for animal species richness at the southern slopes of Mount Kilimanjaro. To disentangle the structural LiDAR information from co-factors related to elevational vegetation zones, LiDAR-based models were compared to the predictive power of elevation models. 17 taxa and 4 feeding guilds were modeled and the standardized study design allowed for a comparison across the assemblages. Results show that most taxa (14) and feeding guilds (3) can be predicted best by elevation with normalized RMSE values but only for three of those taxa and two of those feeding guilds the difference to other models is significant. Generally, modeling performances between different models vary only slightly for each assemblage. For the remaining, structural information at most showed little additional contribution to the performance. In summary, LiDAR observations can be used for animal species prediction. However, the effort and cost of aerial surveys are not always in proportion with the prediction quality, especially when the species distribution follows zonal patterns, and elevation information yields similar results. KW - biodiversity KW - species richness KW - LiDAR KW - elevation KW - partial least square regression KW - arthropods KW - birds KW - bats KW - predictive modeling Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-262251 SN - 2072-4292 VL - 14 IS - 3 ER - TY - JOUR A1 - Rai, P. A1 - Ziegler, K. A1 - Abel, D. A1 - Pollinger, F. A1 - Paeth, H. T1 - Performance of a regional climate model with interactive vegetation (REMO-iMOVE) over Central Asia JF - Theoretical and Applied Climatology N2 - The current study evaluates the regional climate model REMO (v2015) and its new version REMO-iMOVE, including interactive vegetation and plant functional types (PFTs), over two Central Asian domains for the period of 2000–2015 at two different horizontal resolutions (0.44° and 0.11°). Various statistical metrices along with mean bias patterns for precipitation, temperature, and leaf area index have been used for the model evaluation. A better representation of the spatial pattern of precipitation is found at 0.11° resolution over most of Central Asia. Regarding the mean temperature, both model versions show a high level of agreement with the validation data, especially at the higher resolution. This also reduces the biases in maximum and minimum temperature. Generally, REMO-iMOVE shows an improvement regarding the temperature bias but produces a larger precipitation bias compared to the REMO conventional version with interannually static vegetation. Since the coupled version is capable to simulate the mean climate of Central Asia like its parent version, both can be used for impact studies and future projections. However, regarding the new vegetation scheme and its spatiotemporal representation exemplified by the leaf area index, REMO-iMOVE shows a clear advantage over REMO. This better simulation is caused by the implementation of more realistic and interactive vegetation and related atmospheric processes which consequently add value to the regional climate model. KW - regional climate model (RCM) KW - interactive vegetation KW - REMO-iMOVE KW - Central Asia KW - evaluation Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-324155 SN - 0177-798X VL - 150 IS - 3-4 ER -