Brain network characterization of symptom changes using intense sampling (A04)

• Subject Area: Biological Psychiatry
• Term: since 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 521379614

Identifying symptom changes indicative of incipient depressive episodes is key to prediction models for short-term outcomes. A04 characterises depressive symptoms using lab-based as well as home-based mobile phone data of behavioural, peripheral and brain parameters of the four main cognitive-emotional mechanisms targeted in this CRC/TRR 393 over the course of eight weeks following symptom changes. Our findings contribute to linking short-term symptom changes and clinical signs of upcoming depressive episodes with changes in neural networks. This enables a mechanism-based prediction of short-term outcome for individual patients.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 393: Trajectories of Affective Disorders: Cognitive-emotional Mechanisms of Symptom Change
• Applicant Institution: Philipps-Universität Marburg
• Project Heads: Professor Dr. Markus Junghöfer; Dr. Susanne Meinert; Professor Dr. Igor Nenadic