Abstract Recurrent neural networks (RNN) are a class of artificial neural networks that can be trained with empirical behavioral data to emulate in silico how the brain performs complex cognitive tasks. This [...] computations through a non linear input-output mapping. The resulting properties of RNN can be analyzed with tools from network neuroscience to gain insights into the neural mechanisms of high-order cognition [...] aggregated cognitive performance data derived from a battery of cognitive tests in controls and patients with schizophrenia. We expect that RNN trained on human healthy data will show network properties that

the social brain can be determined, along with their association with structural brain maturation, genetic influences and the acquisition of behavioral skills. With this Habilitation project, I will not only [...] patients with schizophrenia have shown that NSS are associated with abnormal cortical and subcortical structure and function. Yet, it still remains unclear whether these findings are associated with neuro [...] in high-risk children and adolescents (subjects with ADHD). Furthermore, a new sample of children with Conduct Disorder (CD), as well as of adolescents with CD is collected. In addition, this WP measures

namely a preclinical multicenter placebo controlled trial in rats with a step-wise translation into a naturalistic pilot trial with ambulatory assessment in alcoholic patients. As a comparator, we will [...] time-intensive discussions with regulatory bodies, dose determination and finally cost-intensive phase II clinical testing for psilocybin in alcoholics, we propose for the first time with respect to mental disorders [...] in animals, and which can be transferred to humans. With our highly interdisciplinary EU consortium (PIs from seven European countries and Israel with outstanding expertise) it is expected that after having

resilience markers by quantifying deviations from this normative model, iii) integrate these deviations with multimodal brain features to uncover underlying mechanisms and biomarkers. This approach enables the [...] will be involved in the optimization of domain-specific (i.e. task-fMRI) analysis pipelines, along with the harmonization of the data to a common standard. Building upon these analyses, CIMH will contribute [...] stratification markers based on existing EU-AIMS and new LEAP data sets as well as by integrating data with other existing cohorts. BMBF - Bundesministerium für Bildung und Forschung 01GL1741C: ADOPTneurobiology

namely a preclinical multicenter placebo controlled trial in rats with a step-wise translation into a naturalistic pilot trial with ambulatory assessment in alcoholic patients. As a comparator, we will [...] time-intensive discussions with regulatory bodies, dose determination and finally cost-intensive phase II clinical testing for psilocybin in alcoholics, we propose for the first time with respect to mental disorders [...] trial in rats as a preclinical confirmatory proof. We aim to confirm the hypothesis that treatment with exosomes will have long-lasting positive effects on relapse behaviour in animal models of alcohol

early intervention of mental ill-health in youth, that have been developed and tested in co-creation with youth: 1) walk-in youth mental health support centres, operational in 6 European countries and Australia; [...] new sites across Europe will be tested. Best practice recommendations will be developed and built with existing and new data, into an integrated European youth mental health framework. Finally, awareness [...] target group will be increased. YOUTHreach activities will benefit from engagement of and co-creation with young people and their support network for the whole duration of the project and a lasting privacy

Heidelberg, 2011 "summa cum laude" Dr. rer. nat. Miriam A. Vogt Depression-like behavior of mice with conditional ablation of glucocorticoid signaling: the impact of tamoxifen on the behavioral phenotype [...] Biotecnologie del Farmaco Massimo Trusel Behavioral analysis of two animal models of schizophrenia with the puzzle box: implications for cognitive dysfunctions. Facolta di Farmacia, Universita degli Studi [...] Marco A. Riva), 2009 " laude " (mit Auszeichnung, höchster Grad) Dr. rer. nat. Sabine Chourbaji Coping with stress: impact of the hypothalamic pituitary adrenal system and neurotrophic circuits in the learned

digital health tool, Digital Mobile Mental Health (DMMH), in close collaboration with stakeholders and extending it with mobile sensing data and innovative machine learning models. DMMH consists of an ESM [...] transfer and scale-up of DMMH to routine mental health clinical practice by closely collaborating with relevant stakeholders, aligning the innovative DMMH tool to their needs. Similarly, the diverse ethical

effects on sensory integration associated with body perception and the processing of somatosensory stimuli with positive or negative valence, and their association with dissociation. By revealing the psych [...] interview with an administration time of approximately 15 minutes that is employed in more than 100 countries. Second, we will validate this tool against the gold standard of expert diagnosis with a human [...] comorbidity during early illness phases. With this, COMMITMENT will provide the basis for biologically-informed clinical tools for improved personalized care of patients with psychotic disorders. Spanagel R. BMBF

Schmahl, C., Paret, C., 2023. Amygdala-related electrical fingerprint is modulated with neurofeedback training and correlates with deep-brain activation: Proof-of-concept in borderline personality disorder. [...] T., Schmahl, C., Paret, C., 2022. An Investigation of Awareness and Metacognition in Neurofeedback with the Amygdala Electrical Fingerprint. Conscious. Cogn. 98, 103264. 2021 Goldway, N., Jalon, I., Keynan [...] Schmahl, C., Paret, C., Niedtfeld, I., 2021. Affective neural signatures do not distinguish women with emotion dysregulation from healthy controls: A mega-analysis across three task-based fMRI studies