Location & Hours
Address
Days & Hours
- May 2nd/3rd, 2026
- Saturday - 9AM to 6PM
- Sunday - 9AM - 4PM
A structured reasoning model that maps symptoms to systems and systems to treatment.
Clinicians from various fields often wonder: why do some patients show improvement while others plateau despite similar treatments? The answer becomes evident when you implement a structured diagnostic approach. Lasting neurological change isn’t achieved through isolated treatments or symptom-focused interventions; instead, it requires pinpointing the primary cause of dysfunction via a systematic, reproducible assessment process.
This 15-hour course eliminates guesswork by educating participants on a step-by-step diagnostic algorithm that organizes patient findings through a hierarchical clinical reasoning model. Rather than relying on intuition, clinicians learn to systematically evaluate the cervical, vestibular, cerebellar, parietal, frontal, and autonomic systems, identify the most unstable primary system, and develop treatment plans based on clear progression and regression principles. The outcome is a defensible, mechanism-based care approach that yields consistent results and enhances clinical decision-making in all patient interactions populations.s
Whether you treat pain, dizziness, neurological dysfunction, or performance limits, the key is the same: identify the primary driver. This course teaches the algorithm that makes it possible.
Use the algorithm to select the most appropriate manual, sensory, motor, or autonomic intervention paired and sequenced according to the system you’ve confirmed as primary
Learn how to dose, progress, and taper care based on network behavior, patient response, and the progression/regression rules built into the diagnostic hierarchy.
Apply the same reasoning model to neurological, musculoskeletal, autonomic, and performance-based cases using a unified framework that adapts to any clinical context
Learn to extract meaningful patterns from a patient’s history and symptoms, map them to likely sensory, cerebellar, cortical, or autonomic network failures, and predict where dysfunction will appear on exam.
Master a structured, step-wise diagnostic hierarchy that sequences testing, interprets multisystem findings, and identifies the lowest order unstable system driving the patient’s presentation.
Use exam confirmed network dysfunction to choose the most appropriate manual, sensory, motor, or autonomic intervention paired and sequenced according to the algorithm’s progression and regression rules..
Build treatment plans that follow network behavior rather than intuition. Learn how to dose, progress, and taper care based on system stability, patient response, and the logic of the diagnostic hierarchy.
Apply principles of metaplasticity and system monitoring to preserve gains, prevent drift, and track meaningful clinical proxies, such as joint position error, gait variability, and autonomic markers.
Work through real-world cases in neurology, musculoskeletal care, autonomic dysfunction, and performance optimization using the same diagnostic algorithm to create individualized, mechanism-based treatment plans with confidence.
Learn a straightforward, step-by-step assessment method that pinpoints the lowest-order unstable system and eliminates guesswork in care. This module demonstrates how neuroplastic changes correspond to particular dysfunction patterns, providing chiropractors with a practical, repeatable framework for clinical decision-making.
This innovative module seamlessly integrates LTP/LTD and consolidation dynamics into the diagnostic hierarchy, empowering chiropractic neurologists to expertly map multisystem findings. Through a carefully structured algorithm, they can identify primary drivers with precision and craft interventions that are both mechanistically accurate and neurologically targeted, significantly enhancing treatment effectiveness
Clinicians now understand that nervous system health isn’t just about the absence of symptoms; instead, it’s gauged by how well the brain and body process information, adapt to stressors, and stay stable across different environments.
This program guides you in tracing this capacity back to its origins by connecting patient history and symptom patterns to specific neural networks, then verifying these links through structured examinations.
Using a straightforward diagnostic algorithm, you’ll learn to determine which sensory, cerebellar, cortical, or autonomic systems are imbalanced—and how these dysfunctions influence the patient’s symptoms. Subsequently, the program teaches you how to choose the most suitable manual, sensory, motor, or autonomic intervention based on the system identified as primary.
The outcome is a precise, defendable clinical model that helps patients regain function, strengthen resilience, and achieve meaningful, lasting improvements in neurological health.
Use patient history, symptom patterns, and exam findings to identify which neural networks break down during rapid directional changes, dual-task demands, or cognitive-motor load, and apply interventions that directly target the unstable system.
Link gait, balance, and cognitive findings to specific cortical, cerebellar, or vestibular dysfunctions. Apply structured, algorithm-driven dosing to reinforce stability and maintain gains across changing demands.
Map coordination failures, visual motor breakdowns, and timing errors to their underlying network drivers. Then pair the appropriate manual, sensory, or motor intervention with graded task complexity to strengthen multisystem integration
Design treatments that are clinically defensible by grounding every decision in the diagnostic algorithm, translating neural network assessment into targeted, measurable improvements in real world function.
When clinicians target the exact neural networks identified through structured history, symptom mapping, and examination, the nervous system adapts in ways that last. This approach creates meaningful, durable shifts in how patients process information, respond to physical and cognitive demands, and maintain stability in real‑world environments.
This program is built for licensed clinicians who want to move beyond symptom‑chasing and learn how to link patient history, symptoms, and exam findings to specific neural network dysfunctions and then apply the most precise, mechanism‑based care.
Build treatment plans grounded in a structured diagnostic algorithm that links patient history, symptoms, and exam findings to specific neural network dysfunctions.
Create lasting improvements by targeting the actual unstable system producing neurological change that persists beyond the treatment session.
Maintain gains with efficient, algorithm-driven follow-up strategies that prevent drift, reduce regression, and keep networks stable over time.
Eliminate guesswork with precise sequencing and dosing frameworks that guide every clinical decision from the first visit to discharge.
Join the new generation of clinicians who can connect symptoms to networks, identify dysfunction within those networks, and target interventions precisely. Enroll today to revolutionize your understanding and treatment of the nervous system.