@article{BauerBanaschewskiHeinzetal.2016,
  author    = {Bauer, M. and Banaschewski, Tobias and Heinz, A. and Kamp-Becker, I. and Meyer-Lindenberg, A. and Padberg, F. and Rapp, Michael A. and Rupprecht, R. and Schneider, F. and Schulze, T. G. and Wittchen, Hans-Ulrich},
  title     = {The German Research Network for mental Disorders},
  series = {Der Nervenarzt : Organ der Deutschen Gesellschaft f{\~A}¼r Psychiatrie, Psychotherapie und Nervenheilkunde ; Mitteilungsblatt der Deutschen Gesellschaft f{\~A}¼r Neurologie},
  volume    = {87},
  journal   = {Der Nervenarzt : Organ der Deutschen Gesellschaft f{\~A}¼r Psychiatrie, Psychotherapie und Nervenheilkunde ; Mitteilungsblatt der Deutschen Gesellschaft f{\~A}¼r Neurologie},
  publisher = {Springer},
  address   = {New York},
  issn      = {0028-2804},
  doi       = {10.1007/s00115-016-0169-y},
  pages     = {989 -- 1010},
  year      = {2016},
  abstract  = {Mental disorders are among the greatest medical and social challenges facing us. They can occur at all stages of life and are among the most important commonly occurring diseases. In Germany 28 \% of the population suffer from a mental disorder every year, while the lifetime risk of suffering from a mental disorder is almost 50 \%. Mental disorders cause great suffering for those affected and their social network. Quantitatively speaking, they can be considered to be among those diseases creating the greatest burden for society due to reduced productivity, absence from work and premature retirement. The Federal Ministry of Education and Research is funding a new research network from 2015 to 2019 with up to 35 million euros to investigate mental disorders in order to devise and develop better therapeutic measures and strategies for this population by means of basic and translational clinical research. This is the result of a competitive call for research proposals entitled research network for mental diseases. It is a nationwide network of nine consortia with up to ten psychiatric and clinical psychology partner institutions from largely university-based research facilities for adults and/or children and adolescents. Furthermore, three cross-consortia platform projects will seek to identify shared causes of diseases and new diagnostic modalities for anxiety disorders, attention deficit hyperactivity disorders (ADHS), autism, bipolar disorders, depression, schizophrenia and psychotic disorders as well as substance-related and addictive disorders. The spectrum of therapeutic approaches to be examined ranges from innovative pharmacological and psychotherapeutic treatment to novel brain stimulation procedures. In light of the enormous burden such diseases represent for society as a whole, a sustainable improvement in the financial support for those researching mental disorders seems essential. This network aims to become a nucleus for long overdue and sustained support for a German center for mental disorders.},
  language  = {de}
}
@article{FoerstnerTschornReinosoSchilleretal.2022,
  author    = {F{\"o}rstner, Bernd R. and Tschorn, Mira and Reinoso-Schiller, Nicolas and Maričić, Lea Mascarell and R{\"o}cher, Erik and Kalman, Janos L. and Stroth, Sanna and Mayer, Annalina V. and Schwarz, Kristina and Kaiser, Anna and Pfennig, Andrea and Manook, Andr{\´e} and Ising, Marcus and Heinig, Ingmar and Pittig, Andre and Heinz, Andreas and Mathiak, Klaus and Schulze, Thomas G. and Schneider, Frank and Kamp-Becker, Inge and Meyer-Lindenberg, Andreas and Padberg, Frank and Banaschewski, Tobias and Bauer, Michael and Rupprecht, Rainer and Wittchen, Hans-Ulrich and Rapp, Michael A.},
  title     = {Mapping research domain criteria using a transdiagnostic mini-RDoC assessment in mental disorders: a confirmatory factor analysis},
  series = {European archives of psychiatry and clinical neuroscience},
  volume    = {273},
  journal   = {European archives of psychiatry and clinical neuroscience},
  number    = {3},
  publisher = {Springer Nature},
  address   = {Heidelberg},
  issn      = {0940-1334},
  doi       = {10.1007/s00406-022-01440-6},
  pages     = {527 -- 539},
  year      = {2022},
  abstract  = {This study aimed to build on the relationship of well-established self-report and behavioral assessments to the latent constructs positive (PVS) and negative valence systems (NVS), cognitive systems (CS), and social processes (SP) of the Research Domain Criteria (RDoC) framework in a large transnosological population which cuts across DSM/ICD-10 disorder criteria categories. One thousand four hundred and thirty one participants (42.1\% suffering from anxiety/fear-related, 18.2\% from depressive, 7.9\% from schizophrenia spectrum, 7.5\% from bipolar, 3.4\% from autism spectrum, 2.2\% from other disorders, 18.4\% healthy controls, and 0.2\% with no diagnosis specified) recruited in studies within the German research network for mental disorders for the Phenotypic, Diagnostic and Clinical Domain Assessment Network Germany (PD-CAN) were examined with a Mini-RDoC-Assessment including behavioral and self-report measures. The respective data was analyzed with confirmatory factor analysis (CFA) to delineate the underlying latent RDoC-structure. A revised four-factor model reflecting the core domains positive and negative valence systems as well as cognitive systems and social processes showed a good fit across this sample and showed significantly better fit compared to a one factor solution. The connections between the domains PVS, NVS and SP could be substantiated, indicating a universal latent structure spanning across known nosological entities. This study is the first to give an impression on the latent structure and intercorrelations between four core Research Domain Criteria in a transnosological sample. We emphasize the possibility of using already existing and well validated self-report and behavioral measurements to capture aspects of the latent structure informed by the RDoC matrix.},
  language  = {en}
}