Closed-Loop Neural Stimulation for Cognitive Therapy

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Solution Overview

Problem

Current treatments for neurodegenerative disorders like Alzheimer's are ineffective in improving cognitive function due to instability, short lifetime, and unpredictability, and lack of reproducibility in stimulating brain regions such as the hippocampus and neocortex.

Innovation Solution

A system and method for intelligently controlling neural firing rhythms in the brain using implantable elements and control circuitry to detect and correlate electrical and chemical activity with desired cognitive functions, applying suitable signals to modulate theta and gamma rhythms in specific brain regions to improve cognitive functions like memory formation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If electrodes and catheters are implanted deep in the brain to stimulate regions like the hippocampus, then cognitive function improvement is attempted, but the treatment causes instability in brain regions, has short lifetime, unpredictability, and lack of reproducibility

Engineering Contradiction:

Improvetreatment stabilityVSAvoidtreatment lifetime

Core Design Contradiction:

ReliabilityVSDuration of action of moving object

Solution Approach 1:

The system continuously monitors neurophysiological markers (such as gamma oscillations and theta rhythms) from the brain and uses this feedback to dynamically adjust stimulation parameters. This closed-loop feedback mechanism ensures treatment stability and adaptability to changing brain states, directly addressing the reliability and lifetime issues of previous open-loop stimulation methods

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The stimulation parameters (amplitude, frequency, phase) are made dynamic rather than fixed, allowing the system to adapt to the patient's cognitive state and brain activity patterns in real-time. This dynamic adjustment improves treatment reproducibility and effectiveness while maintaining stable long-term operation

Inventive Principle:

Principle #15Dynamics

2Productivity

If deep brain stimulation is applied to improve cognitive function, then neural activity is stimulated, but the stimulation causes instability and undesirable side effects

Engineering Contradiction:

Improvecognitive function improvementVSAvoidside effects and instability

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

By continuously monitoring neurophysiological markers and using this information to adjust stimulation parameters, the system can optimize cognitive function improvement while avoiding over-stimulation and associated side effects. The feedback mechanism allows real-time detection and correction of instability

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system dynamically changes stimulation parameters (amplitude, frequency, phase) based on monitored brain activity and cognitive state, allowing optimization of therapeutic effect while minimizing harmful side effects. Parameters are adjusted within specific ranges to maintain stability

Inventive Principle:

Principle #35Parameter changes

3Reliability

If existing stimulation methods are used, then brain regions are stimulated, but the treatment lacks reproducibility and predictability

Engineering Contradiction:

Improvetreatment reproducibilityVSAvoidneural signaling disruption

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The system uses real-time feedback from neurophysiological markers to ensure reproducible and predictable treatment outcomes. By monitoring brain activity and adjusting stimulation accordingly, the system maintains consistent therapeutic effects across different patients and treatment sessions

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary monitoring and characterization of individual patient brain activity patterns before initiating full treatment. This preliminary action establishes a baseline for personalized, reproducible treatment protocols that account for individual neural variability

Inventive Principle:

Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach effectively improves cognitive functions by inducing desired neural responses based on naturally occurring markers, such as hippocampal theta rhythm and gamma oscillations, promoting information processing and memory consolidation, potentially offering a more stable and reproducible therapy than existing methods.

Implementation Method 1

control circuitry for detecting electrical and chemical activity in the brain associated with a particular cognitive function

Methodology Applied

Scientific EffectElectrical activity detection: Electric Field

Implementation Method 2

The electrical and/or chemical activity corresponding to a desired value of the neurological marker may be applied to a desired region of the brain to improve the cognitive function

Methodology Applied

Scientific EffectElectrical stimulation: Electric Field

Data Source

PatentUS8942809B2Systems and methods for improving a cognitive function

Publication Date: 2015.01.27 MEDTRODE

AI summary

In many aspects, the invention relates to systems and methods for providing cognitive therapy through stimulation of activating and inhibiting neurons in the brain, thereby modulating neural firing rhythms. The stimulation of neurons is controlled through a feedback process whereby neuron firing rhythms are altered based on naturally occurring electrical and chemical activity in the brain. Neurons in specific regions of the brain may be targeted in order to establish neural signaling pathways and establish communication between these regions.