Collaborative Research

Longitudinal studies
Since October 2007, the Department is part of the IMAGEN project . This longitudinal project aims at identifying neurophysiological, genetic and psychological mechanisms for the development of neuropsychiatric disorders. This project was initially funded by the EC as an Integrated Project in the 6. Framework. The sample comprises 2000 adolescents who were included at the age of 14. 250 adolescents were recruited in Hamburg. Additional assessments were performed at age 16, 18 and 21. Currently, this study is funded by the BMBF through project AERIAL . PIs involved: Christian Büchel (www).

The Department is part of the Hamburg City Health Study . In this study, more than 20 Departments of the UKE cooperate to longitudinally investigate early markers of common diseases such as stroke, cancer, and neuropsychiatric diseases. Our project is focused on risk and resilience factors for emotional health across the lifespan. PIs involved: Stefanie Brassen, Christian Büchel (www)

Collaborative Research Centers

The Department is part of a number of collaborative research centers funded by the DFG.

The department is part of the transregional collaborative research center TRR SFB 58 „Fear, anxiety and anxiety disorders“ ( 4 projects are hosted within the Department ( B3 , B7 , B10 und Z2 ). PIs involved: Tina Lonsdorf, Jan Haaker, Christian Büchel (www)

Collaborative research center SFB 936 “Multi-Site Communication in the Brain“ ( aims at investigating network properties of the brain underlying cognition and neuropsychiatric diseases. The Department host 2 projects ( A5, A6 ). PIs involved: Arne May, Christian Büchel (www)

Transregional collaborative research center SFB TRR 134 “ Eating behavior: Homeostasis and reward“ aims to investigate the relationship between homeostatic and hedonic control of feeding behavior. The Department hosts one project ( C3 ). PIs involved: Stefanie Brassen, Christian Büchel (www)

Transregional collaborative research center SFB TRR 169 Crossmodal Learning: Adaptivity, Prediction, and Interaction aims to investigate crossmodal aspects of cognition and artificial systems such as robots. This is done in close collaboration with the Department of Neurophysiology and Computer Science and Chinese universities (Tsinghua University, Beijing Normal University, Peking University, Chinese Academy of Science). The Department hosts two projects ( B2 , B3 ). PIs involved: Michael Rose, Jan Gläscher (www)