Module 08
Slides 36–40 | From open-loop stimulation to biomarker-driven, state-dependent and potentially adaptive DBS
Original lecture slides 36–40 · Module 08 / 10
“The next step in DBS is not simply more stimulation. It is better information about when, where and why to stimulate.”
Open loop → closed loop
Closed-loop DBS requires a reliable biomarker, reliable sensing, state detection, a stimulation control algorithm, safety constraints and clinical validation. Traditional DBS remains: clinical assessment → programming → fixed settings → follow-up → manual optimization.
Learning objectives
Original lecture slides
The slides below are reproduced exactly as delivered. Everything outside the slide panel is added study material.
Slide 36
Slide 37
Slide 38
Slide 39
Slide 40
Keyboard: ← previous slide · → next slide · O original slide · S study mode
Expanded study material
Supplementary material written around the immutable original slides.
Interactive principle
Seven stages from neural activity to clinical interpretation.
The physiological source. What reaches the electrode is already shaped by distance, orientation and tissue properties.
Biomarker ↔ symptom / state — correlation must be validated
Essential distinction
Level 1 — sensing only
Measure neural signals.
Level 2 — sensing + analysis
Identify physiological states.
Level 3 — closed-loop control
Use sensed information to modify stimulation.
Interactive principle
What a feature must satisfy before it is allowed to drive therapy.
The feature reflects a mechanism plausibly related to the symptom being treated.
Beta-band activity (approximately 13–30 Hz) has been studied as a biomarker associated with motor state in Parkinson disease. It is not a disease signature, and its relationship to symptoms varies with brain state, medication, movement, electrode location, phenotype, stimulation parameters and sensing methodology.
Interactive principle
The same patient, two control architectures.
“Fixed settings persist until the next clinical decision.”
Conceptual closed-loop model — safety + clinical validation + programming + physiology surround the loop
Expandable limitations
A closed loop is only as good as its sensor, model and control rule.
Does the feature track the clinical state in this patient, at this target, under stimulation?
Evidence hierarchy
Categories are not permanent; each moves as evidence accumulates.
ESTABLISHED
SUPPORTED
EMERGING
EXPERIMENTAL / FUTURE
Critical thinking
The value of technology is determined by whether it improves the decision and ultimately the patient outcome.
Decision hierarchy
Technology is justified when it changes a clinically important decision.
Precision without overengineering
Precision does not mean
Precision means
The right information for the right decision in the right patient.
Cross-links
Each link opens the related slide elsewhere in the curriculum.
Final faculty question
Reveal the answer one line at a time.
From coordinates → to circuits → to states → to adaptive therapy
The future of DBS is not just placing a lead more precisely. It is understanding what to modulate, when to modulate it, and how to adapt the therapy to the patient.
Deep study material
These remain the established foundation of practice.
Substantial research support, increasingly incorporated into investigational and commercial platforms. The clinical value of a particular biomarker depends on indication, target, signal quality, patient and control strategy.
Supported as research and programming tools.
Important proof-of-concept and clinical feasibility have been demonstrated, particularly in Parkinson disease research. Biomarkers vary, optimal control strategies remain under investigation, long-term comparative evidence is limited and programming standards are evolving.
Active areas of development that are not yet routine standard of care.
Research directions rather than clinical practice. Categories are not permanent: each technology moves as evidence accumulates.
Anatomy
Expanded study material for this section is written once the original slides for this module are supplied.
Surgical principles
Expanded study material for this section is written once the original slides for this module are supplied.
Physiology
Expanded study material for this section is written once the original slides for this module are supplied.
Imaging
Expanded study material for this section is written once the original slides for this module are supplied.
Programming
Expanded study material for this section is written once the original slides for this module are supplied.
Image placeholders
Each placeholder states the image type, what is required, why it teaches and where a legitimate source should come from. No clinical image is fabricated.
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MODULE 08 SENSING WORKFLOW — INSERT AUTHENTIC IMAGE
Real clinical image required
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MODULE 08 PRECISION DBS WORKFLOW — INSERT AUTHENTIC IMAGE
Real clinical image required
01
Anatomy — “Where?”
02
Physiology — “What is happening?”
03
Imaging — “Where is the lead?”
04
VTA — “Where does the field extend?”
05
Connectomics — “Which pathway / network?”
06
Sensing — “What state is the brain in?”
07
Adaptive DBS — “When should stimulation change?”
08
Precision DBS — “What is right for this patient now?”
PRECISION NEUROMODULATION IS THE INTEGRATION OF ANATOMY, PHYSIOLOGY, ELECTRICAL FIELD, NETWORK, NEURAL STATE AND CLINICAL PHENOTYPE — NOT THE USE OF TECHNOLOGY FOR ITS OWN SAKE.
Clinical pearls
Common errors
Take-home message
References
“PRECISION NEUROMODULATION IS THE INTEGRATION OF ANATOMY + PHYSIOLOGY + ELECTRICAL FIELD + NETWORK + NEURAL STATE + CLINICAL PHENOTYPE — NOT THE USE OF TECHNOLOGY FOR ITS OWN SAKE.”
