TY - JOUR A1 - Rubo, Marius A1 - Gamer, Matthias T1 - Social content and emotional valence modulate gaze fixations in dynamic scenes JF - Scientific Reports N2 - Previous research has shown that low-level visual features (i.e., low-level visual saliency) as well as socially relevant information predict gaze allocation in free viewing conditions. However, these studies mainly used static and highly controlled stimulus material, thus revealing little about the robustness of attentional processes across diverging situations. Secondly, the influence of affective stimulus characteristics on visual exploration patterns remains poorly understood. Participants in the present study freely viewed a set of naturalistic, contextually rich video clips from a variety of settings that were capable of eliciting different moods. Using recordings of eye movements, we quantified to what degree social information, emotional valence and low-level visual features influenced gaze allocation using generalized linear mixed models. We found substantial and similarly large regression weights for low-level saliency and social information, affirming the importance of both predictor classes under ecologically more valid dynamic stimulation conditions. Differences in predictor strength between individuals were large and highly stable across videos. Additionally, low-level saliency was less important for fixation selection in videos containing persons than in videos not containing persons, and less important for videos perceived as negative. We discuss the generalizability of these findings and the feasibility of applying this research paradigm to patient groups. KW - Human behaviour KW - Motion detection KW - Social neuroscience Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-227106 VL - 8 ER - TY - JOUR A1 - Rayner, Christopher A1 - Coleman, Jonathan R. I. A1 - Purves, Kirstin L. A1 - Hodsoll, John A1 - Goldsmith, Kimberley A1 - Alpers, Georg W. A1 - Andersson, Evelyn A1 - Arolt, Volker A1 - Boberg, Julia A1 - Bögels, Susan A1 - Creswell, Cathy A1 - Cooper, Peter A1 - Curtis, Charles A1 - Deckert, Jürgen A1 - Domschke, Katharina A1 - El Alaoui, Samir A1 - Fehm, Lydia A1 - Fydrich, Thomas A1 - Gerlach, Alexander L. A1 - Grocholewski, Anja A1 - Hahlweg, Kurt A1 - Hamm, Alfons A1 - Hedman, Erik A1 - Heiervang, Einar R. A1 - Hudson, Jennifer L. A1 - Jöhren, Peter A1 - Keers, Robert A1 - Kircher, Tilo A1 - Lang, Thomas A1 - Lavebratt, Catharina A1 - Lee, Sang-hyuck A1 - Lester, Kathryn J. A1 - Lindefors, Nils A1 - Margraf, Jürgen A1 - Nauta, Maaike A1 - Pané-Farré, Christiane A. A1 - Pauli, Paul A1 - Rapee, Ronald M. A1 - Reif, Andreas A1 - Rief, Winfried A1 - Roberts, Susanna A1 - Schalling, Martin A1 - Schneider, Silvia A1 - Silverman, Wendy K. A1 - Ströhle, Andreas A1 - Teismann, Tobias A1 - Thastum, Mikael A1 - Wannemüller, Andre A1 - Weber, Heike A1 - Wittchen, Hans-Ulrich A1 - Wolf, Christiane A1 - Rück, Christian A1 - Breen, Gerome A1 - Eley, Thalia C. T1 - A genome-wide association meta-analysis of prognostic outcomes following cognitive behavioural therapy in individuals with anxiety and depressive disorders JF - Translational Psychiatry N2 - Major depressive disorder and the anxiety disorders are highly prevalent, disabling and moderately heritable. Depression and anxiety are also highly comorbid and have a strong genetic correlation (r(g) approximate to 1). Cognitive behavioural therapy is a leading evidence-based treatment but has variable outcomes. Currently, there are no strong predictors of outcome. Therapygenetics research aims to identify genetic predictors of prognosis following therapy. We performed genome-wide association meta-analyses of symptoms following cognitive behavioural therapy in adults with anxiety disorders (n = 972), adults with major depressive disorder (n = 832) and children with anxiety disorders (n = 920; meta-analysis n = 2724). We (h(SNP)(2)) and polygenic scoring was used to examine genetic associations between therapy outcomes and psychopathology, personality and estimated the variance in therapy outcomes that could be explained by common genetic variants learning. No single nucleotide polymorphisms were strongly associated with treatment outcomes. No significant estimate of h(SNP)(2) could be obtained, suggesting the heritability of therapy outcome is smaller than our analysis was powered to detect. Polygenic scoring failed to detect genetic overlap between therapy outcome and psychopathology, personality or learning. This study is the largest therapygenetics study to date. Results are consistent with previous, similarly powered genome-wide association studies of complex traits. KW - Human behaviour KW - Personalized medicine KW - Prognostic markers KW - Psychiatric disorders Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-225048 VL - 9 IS - 150 ER -