The Cleveland Clinic Foundation

Case Western Reserve University

Ashutosh Chaturvedi

Cameron C McIntyre

J Luis Lujan

Helen S Mayberg

Michele Tagliati

Ki Sueng Choi

Tyler Cheung

Patricio Riva-Posse

Cameron C Mcintyre

Luis J Lujan

A computer-implemented method for determining the volume of activation of neural tissue. In one embodiment, the method uses one or more parametric equations that define a volume of activation, wherein the parameters for the one or more parametric equations are given as a function of an input vector that includes stimulation parameters. After receiving input data that includes values for the stimulation parameters and defining the input vector using the input data, the input vector is applied to the function to obtain the parameters for the one or more parametric equations. The parametric equation is solved to obtain a calculated volume of activation.

System and method to estimate region of tissue activation

Example apparatus and methods plan and control neuro-modulation of a distributed multi-region network in a brain. A location for a deep brain stimulation (DBS) electrode that participates in activating a combination of white matter pathways associated with the network is selected. The location is selected based on a pre-implantation image of the brain and a probabilistic activation model of the network. An initial stimulation parameter for DBS to be applied through the DBS electrode is selected based on a post-implantation image of the brain and the probabilistic activation model of the network. A modified stimulation parameter for DBS being applied through the DBS electrode is selected based on the initial stimulation parameter, a local field potential measured in the distributed multi-region network in response to DBS applied using the initial stimulation parameter, the probabilistic activation model of the distributed multi-region network, and the post-implantation image of the brain.

Activation map based individualized planning for deep brain stimulation

A method for identifying and activating specific axonal pathways for achieving therapeutic benefits during a neural stimulation, such as deep brain stimulation. Clinical data, diffusion tensor tractography, and computer models of patient-specific neurostimulation may be used to identify particular axonal pathways activated by deep brain stimulation and to determine their correlations with specific clinical outcomes.

Methods for identifying target stimulation regions associated with therapeutic and non-therapeutic clinical outcomes for neural stimulation

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Powell, OH, United States of America

Ashutosh Chaturvedi