In this episode of STEIN Fireside Chats, Dr. Kai Miller and Dr. Bryan Klassen sit down with two leaders in neuromodulation innovation: Professor Tim Denison (Oxford) and Professor Greg Worrell (Mayo Clinic). Together, they unpack three a long time of breakthroughs, challenges, and onerous received classes within the evolution of mind sensing and stimulation units.
They talk about:
• How early sensing units modified the understanding of seizures
• Why medical units are “over engineered” (and why that’s intentional)
• The complexity of constructing closed loop mind stimulation protected and efficient
• What steady neural knowledge streaming revealed about actual world mind states
• The rising position of circadian biology in neuromodulation
• The significance of collaboration—“building the band”—between clinicians, engineers, and scientists
• How tutorial insights and business instruments finally translate into actual therapies for sufferers
Whether you’re a neurosurgeon, neurologist, engineer, or just fascinated by the way forward for mind–machine interfaces, this episode provides a uncommon, behind the scenes have a look at the folks and concepts driving neurotechnology ahead.
0:00 Welcome to Stine Fireside Chats
0:31 Origins and Purpose of the STEIN Society
1:19 Expanding STEIN Into Neuroscience and Engineering
1:59 Collaboration Between Neurosurgeons and Neurologists
3:03 Humor, Tech, and Drones within the OR
3:48 Pressures of Publishing in Neurosurgery Training
4:46 Greg Worrell’s Journey Into Epilepsy Care
6:18 Early Neuropace Era and Device Limitations
8:00 Tim Denison’s Path From Physics to Neuroscience
10:17 Cardiac Engineering Lessons Crossing Into Neurology
11:57 Realities of Closed‑Loop Seizure Detection
14:34 Building Next‑Generation Sensing Devices at Medtronic
17:12 Balancing Research Capabilities With Clinical Safety
19:44 Impact of the BRAIN Initiative on Device Innovation
21:49 Responsibilities of Industry, Academia, and Government
25:17 Transformative Power of Open APIs and Collaboration
28:41 Challenges of Software Burden and Research Tooling
30:53 Streaming Neural Data and Patient Burden
32:37 Improving Seizure Diaries and Objective Biomarkers
34:34 Device Fidelity and Capturing High‑Frequency Signals
35:49 Importance of Simple, Robust Clinical Algorithms
37:12 Circadian Rhythms and Time‑Based Neuromodulation
38:10 Tim’s Work After Medtronic and Oxford Transition
40:04 Building New Neuromodulation Platforms and Startups
41:45 Translational Impact and Evolving Academic Metrics
44:01 The “Band” Model of Scientific Collaboration
46:24 Closing Reflections on Friendship and Innovation
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