Personalized Brain Stimulation Systems for Next-Generation Neuromodulation

Publication ID: 24-11857275_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Personalized Brain Stimulation Systems for Next-Generation Neuromodulation,” Published Technical Disclosure No. 24-11857275_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857275_0005_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,275.

Summary of the Inventive Concept

A revolutionary neuromodulation system that leverages advanced neuroimaging, machine learning, and real-time brain activity feedback to provide highly effective, personalized brain stimulation therapies for a wide range of neurological and psychiatric disorders.

Background and Problem Solved

The original patent, 'Systems and methods for targeted neuromodulation', introduced a significant advancement in neuromodulation therapy by generating personalized stimulation targets. However, it has limitations in terms of real-time adaptability, precision, and effectiveness. The new inventive concept addresses these limitations by integrating cutting-edge technologies to create a more sophisticated, adaptive, and patient-centric neuromodulation system.

Detailed Description of the Inventive Concept

The new inventive concept consists of a neural network module that generates a personalized brain stimulation therapy plan based on a patient's brain connectivity profile. A stimulation delivery module adapts the therapy plan in real-time to optimize treatment outcomes. The system can be integrated with wearable brain-computer interface devices, cloud-based platforms, and non-invasive optogenetic stimulation devices to provide a comprehensive, adaptive, and highly effective neuromodulation solution.

Novelty and Inventive Step

The new claims introduce a paradigm shift in neuromodulation therapy by incorporating machine learning, real-time brain activity feedback, and advanced neuroimaging. These innovations enable a level of personalization, adaptability, and effectiveness that surpasses the original patent, making the new inventive concept a significant advancement in the field.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, integration with various wearable devices, or the development of novel optogenetic stimulation methods. These variations would ensure broad conceptual coverage and provide a foundation for further innovation and development.

Potential Commercial Applications and Market

The new inventive concept has significant commercial potential in the treatment of neurological and psychiatric disorders, such as depression, anxiety, and Parkinson's disease. The market for neuromodulation therapies is expected to grow substantially in the coming years, and this innovative concept is poised to capture a significant share of that market.

CPC Classifications

SectionClassGroup
A A61 A61B34/20
A A61 A61B5/0036
A A61 A61B5/055
A A61 A61N1/20
A A61 A61N1/36096
A A61 A61N2/006
G G01 G01R33/4806
G G01 G01R33/5608

Field of Art

Neurological medical technologies focusing on brain stimulation, neuroimaging, and personalized medical treatment systems, encompassing neurology, medical imaging, signal processing, and machine learning technologies

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in neuroscience, biomedical engineering, or medical technology, possessing expertise in neuroimaging techniques, brain mapping, machine learning algorithms, and medical device design

Obviousness Rationale

A PHOSITA would recognize that the PTD's variations represent predictable extensions of the source patent's core neuromodulation framework by introducing standard machine learning and real-time feedback techniques commonly applied in brain stimulation technologies. The proposed innovations leverage well-established computational methods to enhance personalization and adaptive treatment strategies. These modifications represent incremental improvements that would be obvious to a skilled practitioner familiar with emerging neurological treatment technologies.

Obvious Combinations & Variations

Source Patent Element
Brain stimulation therapy targeting specific brain regions using structural MRI scans
PTD Variation
Incorporating machine learning algorithms to generate patient-specific brain atlases and identify novel stimulation targets
Obviousness Reasoning
Applying machine learning to neuroimaging data represents a known technique for enhancing diagnostic and treatment precision, with predictable results in personalized medical technologies
Source Patent Element
Transcranial magnetic stimulation and electrical stimulation methods
PTD Variation
Integration with wearable brain-computer interface devices and real-time neural activity feedback systems
Obviousness Reasoning
Extending brain stimulation technologies to include continuous monitoring and adaptive treatment represents an obvious design optimization using standard sensor and signal processing techniques
Source Patent Element
Targeting application for brain stimulation therapies
PTD Variation
Cloud-based platform enabling collaborative treatment planning and machine learning-driven personalized recommendations
Obviousness Reasoning
Leveraging cloud computing and collaborative medical technologies is a predictable evolution of existing medical information systems, representing an obvious technological progression
Source Patent Element
Brain stimulation methods for treating mental conditions
PTD Variation
Non-invasive optogenetic stimulation techniques for selectively activating neural populations
Obviousness Reasoning
Exploring alternative stimulation methodologies using emerging neurotechnology represents a logical and foreseeable extension of existing brain stimulation approaches
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857275 and the disclosed technological variations, a person of ordinary skill in the art would find the proposed neuromodulation system innovations obvious and lacking inventive merit. The combination of known neuroimaging, machine learning, and adaptive stimulation techniques represents a predictable application of standard technological approaches in personalized medical treatment systems.

Original Patent Information

Patent NumberUS 11,857,275
TitleSystems and methods for targeted neuromodulation
Assignee(s)The Board of Trustees of the Leland Stanford Junior University