ADDRESS

4th floor

Merz Court 

Newcastle Univeristy 

NE1 7RU, UK

CONTACT INFORMATION

Merz Reception

E-mail: merz.reception@newcastle.ac.uk

Address: 3rd floor, Merz Court,

School of Engineering,

Newcastle University, NE1 7RU, UK

Copyright © by Neuroprosthesis lab | Newcastle University

Implant Control Systems

A Closed-Loop Cortical Brain Implant for Optogenetic Treatment of Epilepsy

A closed-loop optogenetic system for treating epilepsy is presented in this work. As it shown at figure 1, the system consists of a cortical brain implant with LEDs and recording electrodes, a customer designed CMOS chip[1][2][3] and a controller. The brain activities are recorded by the implant with recording electronics in a CMOS chip, the signals are processed by the controller, and the results are send back to the CMOS chip for delivering LED stimulation commands.

There are three major technologies incorporated in the system:

  1. closed-loop processing: by real-time monitoring recording and stimulations in a fully functional prototype system, the visitors can obtain the conceptual idea that how presented technology can be applied on human beings to cure epilepsy.

  2. algorithm implementation: three different types of algorithm (threshold based, manual control and phase-shift) in the controller can be selected directly by visitor via Matlab GUI interface (figure 2). The results will be displayed in the GUI LED commands window immediately. This will enhance visitor interactive experiences.

  3. self-diagnosis: the implantable LED status can be observed in the GUI as well.

Figure 1: The system overview. A is the custom designed CMOS chip, B is a controller that contains a processor (ARM cortex-M4), a power management system and a battery; C is a cortical brain implant with one LED and one recording electrode and D is a 10-pin position subcutaneous cable. The zoom in picture displays SD card based system generates seizure-like events signals.

Figure 2: The Graphical User Interface (GUI) of the system.

Earlier Publications

[1] F. Dehkhoda, A. Soltan, R. Ramezani, H. Zhao, Y. Liu, T. Constandinou, and P. Degenaar, “Smart optrode for neural stimulation and sensing,” in 2015 IEEE SENSORS, 2015, pp. 1–4.

[2] F. Dehkhoda, A. Soltan, R. Ramezani, and P. Degenaar, “Biphasic micro-LED driver for optogenetics,” in 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2016, pp. 576–579.

[3] R. Ramezani, F. Dehkhoda, A. Soltan, P. Degenaar, Y. Liu, and T. Constandinou, “An optrode with built-in self-diagnostic and fracture sensor for cortical brain stimulation,” in 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2016, pp. 392–395.