Affective BCI for Closed-Loop Psychiatric DBS
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Solution Overview
Problem
Current treatments for mental and emotional disorders, such as PTSD and depression, face challenges due to the lack of accurate biomarkers for responsive brain stimulation systems, leading to ineffective and potentially harmful treatments, as existing affective BCIs struggle to distinguish between pathologic and healthy emotional states, and are limited by battery life and processing power constraints.
Innovation Solution
A closed-loop, symptom-responsive psychiatric DBS system incorporating an affective BCI with plasticity and volition components, which uses transdiagnostic assessments and patient-controlled stimulation to adjust brain activity, allowing for personalized and efficient treatment by classifying brain signals and allowing patients to directly control stimulation parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If affective BCI is used to detect emotional states for responsive brain stimulation, then the system can identify emotional states, but it cannot distinguish between pathologic and healthy emotional states leading to potentially harmful treatments
Solution Approach 1:
The patent introduces an affective BCI as an intermediary component that bridges the gap between raw neural signals and treatment decisions. The BCI decodes emotional states and feeds this information to a controller that integrates it with clinical context, enabling differentiated responses to pathologic versus healthy emotions without directly causing harm
Solution Approach 2:
The system implements closed-loop feedback where the affective BCI continuously monitors emotional states, the controller processes this information alongside clinical guidelines, and the responsive stimulator adjusts treatment accordingly. This feedback mechanism enables real-time differentiation between pathologic and healthy emotional states through iterative adjustment of stimulation parameters
2Reliability
If continuous brain stimulation is applied to treat mental disorders, then symptom management improves, but battery life is reduced and processing power is consumed
Solution Approach 1:
The patent implements periodic rather than continuous stimulation by using the affective BCI to detect specific emotional states that trigger stimulation episodes. The controller processes BCI output in real-time and activates the responsive stimulator only when pathologic emotional states are detected, creating intermittent stimulation patterns that preserve battery life while maintaining treatment effectiveness
Solution Approach 2:
The system dynamically adjusts stimulation parameters based on real-time emotional state detection. The controller modulates stimulation intensity, duration, and frequency according to the severity and type of detected emotional states, enabling adaptive treatment that optimizes therapeutic effect while minimizing energy consumption
3Measurement precision
If transdiagnostic assessment battery is administered with multi-modal imaging, then accurate brain region identification is achieved, but system complexity and processing requirements increase
Solution Approach 1:
The patent segments the complex diagnostic process into distinct functional components: transdiagnostic assessment battery for symptom evaluation, multi-modal imaging for neural activity detection, and a controller that integrates both data streams. This segmentation allows each component to specialize in specific tasks, improving overall identification accuracy while managing system complexity through modular architecture
Solution Approach 2:
The controller serves multiple functions by simultaneously processing data from the transdiagnostic assessment battery and multi-modal imaging systems. It integrates diverse input types (behavioral data, neural imaging data) to produce unified brain region identification and treatment decisions, reducing overall system complexity through functional consolidation
4Adaptability or versatility
If patient-controlled stimulation parameters are allowed, then treatment personalization improves, but ease of operation may be reduced
Solution Approach 1:
The patent enables patients to directly control stimulation parameters through the affective BCI interface, allowing self-adjustment of treatment based on their real-time emotional states. The system provides patients with the capability to self-manage their treatment without requiring constant clinician intervention, improving personalization while maintaining operational simplicity through intuitive BCI control
Data Source
AI summary
A system and method for diagnosing mental or emotional disorders is disclosed. An affective BCI component is incorporated into a closed loop, symptom—responsive psychiatric DBS system. A series of input data related to a brain of the patient is acquired while the patient performs a battery of behavioral tasks. From the patient's performance on the task battery, the system identifies what is abnormal for that individual patient in terms of functional domains. Patient-specific behavioral measurements are then linked to patterns of activation and de-activation across different brain regions, identifying specific structures that are the source of the patient's individual impairment.