In this discuss, Dr. Nuri Ince, biomedical engineer and new member of the BIONIC group, shares his group’s journey to uncover neurobiomarkers that may rework neuromodulation therapies for epilepsy and motion problems. His work combines mind–machine interface ideas with superior sign evaluation to extract “clues” from neural exercise—patterns that reveal illness mechanisms and information extra exact remedies.
Dr. Ince describes how deep mind stimulation (DBS) electrodes can be utilized not solely to deal with Parkinson’s illness but additionally to file beneficial neural oscillations. Early analysis confirmed that beta synchrony within the subthalamic nucleus aligns with the perfect therapeutic contacts—one of many first discoveries linking mind rhythms to DBS optimization. Long‑time period recordings additional revealed how treatment induces distinctive shifts in beta and excessive‑frequency oscillations (HFOs), providing a roadmap for titrating remedy. He then explains how AI‑pushed evaluation of intraoperative alerts can enhance electrode placement. By turning low‑frequency alerts into interpretable options, Dr. Ince’s group constructed actual‑time techniques that appropriately predicted neurosurgeons’ focusing on choices in 80% of surgical procedures and even uncovered electrophysiological variations between Parkinson’s subtypes—patterns that correlate with symptom severity.
The second half of the discuss focuses on epilepsy, the place figuring out seizure‑onset zones stays gradual and dangerous. Dr. Ince’s AI instruments detect pathological HFO clusters even in noisy, artifact‑wealthy intracranial EEG, attaining close to–EMU‑stage precision and predicting surgical failures. These algorithms at the moment are being built-in with subsequent‑technology wi-fi cortical implants to allow actual‑time seizure localization and future closed‑loop neuromodulation. Together, Dr. Ince’s work demonstrates how superior sign processing + AI + neuromodulation can drive customized, mechanism‑knowledgeable therapies for complicated mind problems.
00:00 Introduction to Dr. Nuri Ince
00:31 Brain–Machine Interfaces: Clinical vs Assistive Applications
01:40 “Mother Nature Leaves Crumbs”: Finding Clues in Neural Signals
02:27 DBS Overview & Using Electrodes for Neural Recording
03:04 Beta Synchrony Discovery & Optimal Therapy Contacts
04:18 Long‑Term LFP Recording & Medication‑Driven Oscillation Changes
05:22 High‑Frequency Oscillations (HFOs) as Therapeutic Clues
06:04 Challenges in DBS Lead Placement & Need for Better Biomarkers
07:08 AI‑Driven Intraoperative Pattern Recognition (80% Accuracy)
08:04 Electrophysiological Differences in Parkinson’s Phenotypes
09:37 Uncovering Mechanisms: Evoked Resonant Neural Activity (ERNA)
11:04 ERNA in Awake & Asleep Surgeries + Toward Personalized DBS
12:47 Transition to Epilepsy: Identifying Seizure Onset Zones
14:34 AI Tools for HFO Clustering & Artifact‑Robust Seizure Mapping
15:44 Real‑Time Systems + Integration with Next‑Gen Wireless Implants
17:14 Closing Remarks & Future of Personalized Neuromodulation
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