Abstract:
Deep brain stimulation (DBS) can be used to treat many neurological conditions beyond traditional movement disorders. When patients do not suffer from traditional movement disorders, medical professionals cannot use traditional observation-based methods to configure the DBS system. A new method for selecting stimulation configurations can include recording internal data and external data as the patient performs (or attempts to perform) a motor task. The internal data is electrophysiology data recorded by a plurality of DBS electrodes, used to identify at least one of the plurality of electrodes closest to a neuronal population involved in control of the at least one motor task. The external data is electroencephalogram (EEG) data recorded by scalp electrodes, which is used to select at least one of the potential stimulation electrodes to deliver the DBS. When the electrode(s) delivering the DBS are selected, optimal parameters for the DBS are then chosen.
Abstract:
Deep brain stimulation (DBS) can be used to treat many neurological conditions beyond traditional movement disorders. When patients do not suffer from traditional movement disorders, medical professionals cannot use traditional observation-based methods to configure the DBS system. A new method for selecting stimulation configurations can include recording internal data and external data as the patient performs (or attempts to perform) a motor task. The internal data is electrophysiology data recorded by a plurality of DBS electrodes, used to identify at least one of the plurality of electrodes closest to a neuronal population involved in control of the at least one motor task. The external data is electroencephalogram (EEG) data recorded by scalp electrodes, which is used to select at least one of the potential stimulation electrodes to deliver the DBS. When the electrode(s) delivering the DBS are selected, optimal parameters for the DBS are then chosen.
Abstract:
A neurostimulation system can include a memory, a playback system, a stimulation electrode, and a controller. The memory can store data for first and second input waveforms. The playback system can provides first and second output waveforms, based on the first and second input waveforms in the memory, respectively, to form composite patterns of stimulation or waveforms. The first output waveform can be different than the second output waveform. The second output waveform can be periodically superimposed on the first output waveform. The controller can be in communication with the stimulation electrode. The controller can be configured to control application of the composite pattern of stimulation or waveform to a target site in a body of a subject suffering from a medical condition.
Abstract:
Deep brain stimulation (DBS) can be used to treat many neurological conditions beyond traditional movement disorders. When patients do not suffer from traditional movement disorders, medical professionals cannot use traditional observation-based methods to configure the DBS system. A new method for selecting stimulation configurations can include recording internal data and external data as the patient performs (or attempts to perform) a motor task. The internal data is electrophysiology data recorded by a plurality of DBS electrodes, used to identify at least one of the plurality of electrodes closest to a neuronal population involved in control of the at least one motor task. The external data is electroencephalogram (EEG) data recorded by scalp electrodes, which is used to select at least one of the potential stimulation electrodes to deliver the DBS. When the electrode(s) delivering the DBS are selected, optimal parameters for the DBS are then chosen.
Abstract:
A neurostimulation system can include a memory, a playback system, a stimulation electrode, and a controller. The memory can store data for first and second input waveforms. The playback system can provides first and second output waveforms, based on the first and second input waveforms in the memory, respectively, to form composite patterns of stimulation or waveforms. The first output waveform can be different than the second output waveform. The second output waveform can be periodically superimposed on the first output waveform. The controller can be in communication with the stimulation electrode. The controller can be configured to control application of the composite pattern of stimulation or waveform to a target site in a body of a subject suffering from a medical condition.
Abstract:
This disclosure relates to a system and method to evaluate movement disorders. A movement data aggregator can combine data from a plurality of sensors into an aggregate movement data describing multi-dimensional movement of a handheld device. A calculator to compute an indication of a movement disorder based on the movement vector data and user input data, the user input data being generated in response to physical interaction between the handheld device and a human machine interface of a computing device/machine that is separate from the handheld device. In some examples, the handheld device can communicate with computing device via a wireless interface.
Abstract:
Neuromodulation assemblies with lead bodies having curvatures that mimic the curvatures of the splenium, trunk, genu, or rostrum of the corpus callosum. Methods of stimulating the corpus callosum and methods of securing an electrical lead in the brain are also provided.
Abstract:
This disclosure relates to a system and method to evaluate movement disorders. A movement data aggregator can combine data from a plurality of sensors into an aggregate movement data describing multi-dimensional movement of a handheld device. A calculator to compute an indication of a movement disorder based on the movement vector data and user input data, the user input data being generated in response to physical interaction between the handheld device and a human machine interface of a computing device/machine that is separate from the handheld device. In some examples, the handheld device can communicate with computing device via a wireless interface.