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Updated: Jun 25, 2026

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
Published on: August 12, 2018
A RAPID PROTOTYPING ENVIRONMENT FOR CLOSED-LOOP NEUROMODULATION USING THE BRAIN INTERCHANGE SYSTEM
Amir Hossein Ayyoubi1, Behrang Fazli Besheli2, Frederik Lampert2
1Department of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN, USA.
Abstract:
For implantable closed loop neuromodulation systems, real-time neural sensing, biomarker detection, and targeted stimulation are essential components for delivering personalized therapy. Current limitations in sampling rate and the number of available recording channels in implantable systems may pose significant challenges, especially in epilepsy research where high-frequency biomarkers and multi-site monitoring are essential. The Brain Interchange (BIC) system of CorTec is an externally powered, wireless implantable system that enables sensing and stimulation up to 32 channels at 1 kHz addressing the current limitations in the field. In this study, we present a modular closed loop neuromodulation environment developed for the BIC, enabling real-time data streaming, event detection, and flexible stimulation control. The framework integrates a Simulink-based processing pipeline, real-time communication, and a graphical user interface supporting both open and closed loop paradigms. System performance was evaluated through impedance measurement, latency assessment across three stimulation modes, and real-time closed loop stimulation using electrocardiogram (ECG) for in-lab demonstration. This modular environment provides a flexible platform for developing and validating neuromodulation algorithms and can be extended to incorporate advanced biomarker detection and multi-channel neural interfaces for future clinical research.
