Abstract:
A system for optimizing parameters of a DBS pulse signal for treatment of a patient is provided. In predicting optimal DBS parameters, functional brain data is input into a predictor system (1), the functional brain data acquired responsive to a sweeping across a multi-dimensional parameter space of one or more DBS parameters. Statistical metrics of brain response are extracted from the functional brain data for one or more ROIs or voxels of the brain via the predictor system (1), and a DBS functional atlas is accessed, via the predictor system (1), that comprises disease-specific brain response maps derived from DBS treatment at optimal DBS parameter settings for a plurality of diseases or neurological conditions. One or more optimal DBS parameters are predicted for the patient based on the statistical metrics of brain response and the DBS functional atlas via the predictor system (1).
Abstract:
A system and method for optimizing parameters of a DBS pulse signal for treatment of a patient is provided. In predicting optimal DBS parameters, functional brain data is input into a predictor system (1), the functional brain data acquired responsive to a sweeping across a multi-dimensional parameter space of one or more DBS parameters. Statistical metrics of brain response are extracted from the functional brain data for one or more ROIs or voxels of the brain via the predictor system (1), and a DBS functional atlas is accessed, via the predictor system (1), that comprises disease-specific brain response maps derived from DBS treatment at optimal DBS parameter settings for a plurality of diseases or neurological conditions. One or more optimal DBS parameters are predicted for the patient based on the statistical metrics of brain response and the DBS functional atlas via the predictor system (1).
Abstract:
A system and method for localizing a deep brain stimulation electrode (12) in vivo in a subject or object is provided. A magnetic resonance imaging system (36) obtains MR image data from a volume-of-interest by way of a zero echo time (ZTE) or ultrashort echo time (UTE) pulse sequence, with one or more of a phase domain image and a magnitude domain image being analyzed from the MR image data acquired by the ZTE or UTE pulse sequence. One or more electrodes (12) are localized within the volume-of-interest based on an analysis of the phase domain image and/or magnitude domain image. In localizing the electrodes (12), a multi-scale correlation-based analysis of the volume-of-interest is performed to estimate at least one of an electrode center (96) and electrode contact (28) locations of the electrode (12), with the localization being achieved with a fast scan-time and with a high level of accuracy and precision.
Abstract:
A system and method for predicting an excitation pattern of a deep brain stimulation (DBS) from monitored bioelectrical signals includes an apparatus having a housing having a signal input and a signal output and an electrical circuit disposed within the housing. The electrical circuit is electrically coupled between the signal input and the signal output and is configured to receive bioelectrical signals corresponding to an excitation signal transmitted by a pulse generator during a DBS. The electrical circuit is also configured to convert the bioelectrical signals into digital logic pulses, predict a future timing pattern of the excitation signal from the digital logic pulses, and generate an output from the future timing pattern, the output comprising a log of time stamps predictive of future active transmission periods of neurological excitation.
Abstract:
A system and method for analyzing bioelectrical signals generated during a deep brain stimulation (DBS) includes an apparatus having a housing having a signal input and a signal output and an electrical circuit disposed within the housing and electrically coupled between the signal input and the signal output. The electrical circuit is configured to receive bioelectrical signals corresponding to a cyclic excitation signal transmitted by a pulse generator during a DBS and generate an output signal comprising a series of timing pulses, wherein each timing pulse simulates an envelope of the cyclic excitation signal. The signal output of the housing is electrically coupleable to an auxiliary trigger input of an imaging system and the series of timing pulses can be used to trigger image data acquisition.
Abstract:
The subject matter of the present disclosure generally relates to techniques for neuromodulation of a tissue that include applying energy (e.g., ultrasound energy) into the tissue to cause altered activity at a synapse between a neuron and a non-neuronal cell.
Abstract:
The subject matter of the present disclosure generally relates to techniques for neuromodulation of tissue that include applying energy (e.g., electromagnetic energy) into the target tissue to cause altered activity of a neuron in the tissue. In certain embodiments, the altered activity causes a change in one or molecules in the tissue or blood.
Abstract:
Systems and methods for management of a distributed ledger including prescription information are disclosed. An example apparatus includes a processor and a logical data structure to configure a device according to an electronic prescription defining an action for a patient, the electronic prescription organized as record(s) in a distributed ledger and processible by the device to apply the action to the patient. The electronic prescription is to cause the device to at least: configure the device to apply the action to the patient; validate the action for the patient using the distributed ledger; and propagate a record of the action to the distributed ledger.
Abstract:
A system and method for determining physiological parameters based on electrical impedance measurements is provided. One method includes obtaining electrical measurement signals acquired from a plurality of transducers coupled to a surface of an object and spatially pre-conditioning the obtained electrical measurement signals. The method also includes performing multiple-input-multiple-output (MIMO) analog to information conversion (AIC) of the spatially pre-conditioned electrical measurement signals to correlate the spatially pre-conditioned electrical measurement signals to separate the electrical measurement signals.