Massachusetts Institute of Technology

Georgia Tech Research Corporation

Neural Dynamics Technologies Inc.

Ingrid Van Welie

Edward Stuart Boyden

Craig Richard Forest

Ho-Jun Suk

Girish Rughoobur

Suhasa Bangalore Kodandaramaiah

Brian Douglas Allen

Systems and methods are disclosed for deep brain stimulation. In one implementation, a deep brain stimulation system comprises a neural probe configured for placement within a brain; at least one signal lead; a sensing assembly including at least one sensing micro-electrode and at least one stimulation electrode; and at least one processor assembly configured to: receive at least one sense signal generated in response to interaction between the at least one sensing electrode and one or more electrical signals generated by at least one neuron in the brain; deliver at least one of a library of preset target stimulation patterns; determine a target stimulation pattern based on at least one characteristic of the at least one sense signal; and cause a signal generator to deliver stimulation signals to stimulation electrodes among the at least one stimulating electrode to activate the set of stimulation electrodes according to the target stimulation pattern.

Adaptive closed-loop DBS stimulation control

In an automated methodology for in vivo image-guided cell patch clamping, a cell patch clamping device is moved into position and targeted to a specific cell using automated image-guided techniques. Cell contact is determined by analyzing the temporal series of measured resistance levels at the clamping device as it is moved. The difference between successive resistance levels is compared to a threshold, which must be exceeded before cell contact is assumed. Pneumatic control methods are used to achieve gigaseal formation and cell break-in, leading to whole-cell patch clamp formation. An automated robotic system capable of performing this methodology automatically performs patch clamping in vivo, automatically locating cells through image guidance and by analyzing the temporal sequence of electrode impedance changes. By continuously monitoring the patching process and rapidly executing actions triggered by specific measurements, the robot can rapidly find target cells in vivo and establish patch-clamp recordings.

Image-guided closed-loop robotic system for automated whole-cell patch clamping electrophysiology of neurons in vivo

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Newton, MA, United States of America

Ingrid Van Welie