TRR 295

Publications

Insights and latest results of our research are regularly published in peer-reviewed journals. The majority of our articles are published open access to ensure the availability to a broad audience including affected people and the general lay public.

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Central regulation of cardio-behavioral responses: Circuit engagement during aversive emotional states.

Rodriguez-Rozada, Tovote 2025 Curr Opin Neurobiol.

This study highlights that 1) homeodynamic cardiovascular control supports adaptive behavior under various states, 2)
higher-order brain regions orchestrate stressor-related cardiovascular changes and 3)
multidimensional approaches are crucial for understanding brain–heart interactions.

Redefining AT1 Receptor PET Imaging: Introducing the Radiotracer [18F]DR29.

Chen et al. 2025 Hypertension.

This study introduces [18F]DR29, a fluorine-18-labeled radiotracer for positron emission tomography imaging, to enable noninvasive visualization of AT1R expression. Its potential applications in understanding AT1R-associated renal processes are explored in healthy and hypertensive rat models.

From adaptive deep brain stimulation to adaptive circuit targeting.

Horn, Neumann. 2025 Nat Rev Neurol.

Our approach, termed adaptive circuit targeting, decodes symptom severity from brain signals and adaptively activates the most relevant symptom-response circuits. We discuss the state of the art in the adaptive and connectomic DBS fields and the research gaps that need to be addressed to unify these concepts.

18F labeled myocardial perfusion PET: New precision in cardiac imaging.

Higuchi et al. 2025 Mov Disord.

This review explores the current landscape of MPI, evaluates the clinical performance of novel 18F tracers, and discusses their transformative potential in expanding access to PET imaging and improving CAD diagnostics.

Falling asleep follows a predictable bifurcation dynamic.

Li et al. 2025 Nat Neurosci.

The framework represents the changes in brain electroencephalogram activity during the transition into sleep as a trajectory in a normalized feature space. We use the framework to show that the brain's wake-to-sleep transition follows bifurcation dynamics with a distinct tipping point preceded by a critical slowing down.
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