ReTuneIn

ReTuneIn
Podcast Description
Welcome to ReTuneIn, the scientific podcast all about movement disorders! We bring together reknown researchers and experienced experts to engange in some exciting discussions about innovative treatments and groundbreaking research in neurology.
In each episode, we dive deep into the mechanisms that influence motor disorders, exploring how we can improve patients' lives through science.
More information: www.sfb-retune.de/en
Podcast Insights
Content Themes
The podcast focuses on the mechanisms of movement disorders, innovative treatment methods, and groundbreaking research in neurology. Specific topics include cortico-striatal plasticity, neuronal population dynamics, and the implications of these studies on patient care, with episodes like the inaugural discussion featuring Dr. Lisa Harder and Dr. Yangfan Peng.

Welcome to ReTuneIn, the scientific podcast all about movement disorders! We bring together reknown researchers and experienced experts to engange in some exciting discussions about innovative treatments and groundbreaking research in neurology.
In each episode, we dive deep into the mechanisms that influence motor disorders, exploring how we can improve patients’ lives through science.
More information: www.sfb-retune.de/en
Welcome to another episode of ReTuneIn! Today, we’re joined by Dr. Jil Meier and Prof. Julian Neumann, who will share insights into their research on motor control and neural circuit adaptation.
Jil Meier explores how whole-brain dynamical simulations —using the open-source platform The Virtual Brain — can improve our understanding of deep brain stimulation. Her work looks at how stimulation affects distributed brain networks and how we might use these insights to develop more personalized neuromodulation therapies.
Julian Neumann focuses on the plasticity of basal ganglia circuits—how these networks adapt and reorganize, and what that means for movement execution.
Together, they’ll dive into the challenges of studying these complex systems and what their findings could mean for the future of neuromodulation.

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