Q: What was the purpose of the Ernst Strüngmann Forum and the resulting publication Metabolic Neuropsychiatry?
A: The forum aimed to create a space for researchers from diverse backgrounds to explore how brain metabolism contributes to the neurobiology of neurological and psychiatric disorders. It was titled “metabolic neuropsychiatry” as we examined metabolic abnormalities in both neurological and psychiatric conditions. The goal was to integrate fundamental knowledge of brain metabolism with clinical and experimental data, and to identify gaps in our understanding. The book was designed to raise awareness of the importance of this field.
Q: What was the structure of the forum?
A: The forum happened for a whole week. Participants were divided into working groups, each tackling different aspects of brain metabolism across different scales. Groups rotated to observe each other’s conversations, which helped broaden perspectives. Topics ranged from very fundamental principles such as the physical constraints of blood supply to the brain to computational models of energy flow.
Q: Discussions in the forum included data usage and sharing. Is there a problem with how existing data is used in this field?
A: Yes, and it’s twofold. First, we often lack the right kind of data—especially longitudinal and transdiagnostic studies. Second, even when data exists, it’s not always analysed effectively. We need more studies that probe brain metabolism in healthy individuals under controlled conditions to understand behavioural and neural effects. There’s also a need to better integrate increasingly available “big data” with experimental approaches.
Q: Can you give an example of how big data is being used in this field?
A: One compelling example comes from Manu Goyal’s chapter, which discusses integrating brain metabolism with big data and neuroimaging. Using resources like the Allen Brain Atlas, researchers can correlate imaging signals with gene expression data. This approach, called imaging transcriptomics, helps identify metabolic and synaptic pathways involved in brain function. It’s not causal, but it allows for hypothesis generation and targeted experimental studies