Interested in licensing this patent?
MTEC can help explore whether this patent might be available for licensing for your application.
Assignees
Carnegie Mellon UniversityCarnegie Mellon University is a global research institution based in Pittsburgh, Pennsylvania, recognized for interdisciplinary education, research, and innovation in science, engineering, arts, technology, and social sciences. The university leads advancements in artificial intelligence, robotics, digital health, and performing arts. Located in a technology-driven and culturally rich city, CMU powers real-world impact through research centers, industry engagement, workforce training, and initiatives that shape regional and global communities.
Carnegie Mellon University is a global research institution based in Pittsburgh, Pennsylvania, recognized for interdisciplinary education, research, and innovation in science, engineering, arts, technology, and social sciences. The university leads advancements in artificial intelligence, robotics, digital health, and performing arts. Located in a technology-driven and culturally rich city, CMU powers real-world impact through research centers, industry engagement, workforce training, and initiatives that shape regional and global communities.
Abstract
Disclosed herein is a system and method for implementing a personalized ultrasound neuromodulation system and methods with neural sensing of personalized electrophysiological data, guiding ultrasound targeting and dosage using such personalized data. Specific ultrasound transducer solutions are provided for various neural targets that enable the low-intensity focused ultrasound to modulate the central nervous system and peripheral nervous systems to treat a variety of neurological and mental disorders. A portable ultrasound console device, a wearable guiding apparatus and a compact solution for effectively and safely enabling point-of-care neuromodulation, e.g., home healthcare, are provided. Further methods for ultrasound waveform customization are also described to improve effectiveness of ultrasound neuromodulation.
Core Innovation
Sensing personalized data about the biological system, determining baseline parameters of ultrasound stimulation based on collected personalized data, and delivering the ultrasound stimulation using the baseline parameters to one or more specific targets through a surface of the biological system using a plurality of ultrasonic elements spatially distributed over the surface, with each element location registered in reference to specific anatomical locations of the one or more specific targets. Neural activity is estimated using an electrophysical source imaging process that estimates neural activity based on a spatio-temporal distribution of electrophysiological signals on the surface of the biological system.
The estimated neural activity is processed to adjust the parameters of the ultrasound stimulation, and the estimated neural activity is further processed to adjust spatial targeting of the ultrasound stimulation to the one or more specific targets. The spatial targeting is accomplished by converting a spatial position of each ultrasound element to a subject-specific time-delay profile of the ultrasound array distributed over the surface of the biological system, and the ultrasound stimulation is delivered using the adjusted parameters and spatial targeting over a duration.
The approach is personalized and non-invasive, and it uses electrophysical source imaging of surface electrophysiological signals to guide ultrasound neuromodulation. The disclosed process explicitly includes correcting for volume conduction and field propagation effects in reconstructing neural sources induced by ultrasound neuromodulation from electrophysiological measurements taken at the surface of the biological system.
Claims Coverage
The independent claim describes a non-invasive personalized neuromodulation method with electrophysiological source imaging-based estimation of neural activity from surface signals and subsequent processing to adjust both ultrasound stimulation parameters and spatial targeting via subject-specific time-delay profiles. The independent claim contains two core adjustable outputs (stimulation parameters and spatial targeting) derived from estimated neural activity.
Personalized ultrasound stimulation guided by electrophysical source imaging
A method for non-invasive personalized neuromodulation that senses personalized data about the biological system, determines baseline parameters of ultrasound stimulation based on collected personalized data, delivers the ultrasound stimulation to one or more specific targets using a spatially distributed plurality of ultrasonic elements with element locations registered to anatomical locations, estimates neural activity using an electrophysical source imaging process from a spatio-temporal distribution of electrophysiological signals on the surface, and processes the estimated neural activity to adjust ultrasound stimulation parameters.
Subject-specific time-delay profile spatial targeting based on neural activity
Processing the estimated neural activity to adjust spatial targeting of the ultrasound stimulation to the one or more specific targets, where the spatial targeting is accomplished by converting a spatial position of each ultrasound element to a subject-specific time-delay profile of the ultrasound array distributed over the surface of the biological system, and delivering the ultrasound stimulation using the adjusted spatial targeting over a duration.
Ultrasound element registration to anatomical targets on a surface
Delivering ultrasound stimulation through a surface of the biological system using a plurality of ultrasonic elements spatially distributed over the surface, with each ultrasonic element location registered in reference to specific anatomical locations of the one or more specific targets.
Correction of volume conduction and field propagation in neural source reconstruction
Applying an electrophysical source imaging process to counter volume conduction or field propagation effects in order to reconstruct neural sources induced by ultrasound neuromodulation from electrophysiological measurements taken at the surface of a biological system.
Across the independent claim, neural activity is estimated from surface electrophysiological signals using electrophysical source imaging, and that estimated neural activity is used to adjust both ultrasound stimulation parameters and spatial targeting through subject-specific time-delay profiles derived from registered element positions. The disclosed source imaging is further framed to counter volume conduction or field propagation when reconstructing neural sources.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Not explicitly described in patent.
Interested in licensing this patent?