Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.