Neurostimulation & rTMS
Data-driven protocol optimization, response prediction, and outcome tracking for neurostimulation centers. Turn your treatment data into actionable insights that improve patient outcomes.
Protocol Intelligence
Optimize Every Parameter
MindCODE analyzes treatment outcomes across your patient population to recommend optimal stimulation parameters for each individual. The system learns continuously from new data, improving recommendations over time.
Protocol Optimization
Optimize stimulation parameters — frequency, intensity, coil position, pulse count, session duration — based on individual patient response patterns and population-level outcome data.
Response Prediction
Predict individual treatment response likelihood before committing to a full course. Identify patients most likely to benefit from rTMS based on assessment data, biomarkers, and clinical history.
Session Tracking
Track treatment progress session by session with automated outcome measures. Detect response trajectories early and flag patients who may need protocol adjustments.
Capabilities
Beyond Protocol Optimization
Comparative Effectiveness
Analyze treatment effectiveness across protocols, patient populations, and clinical sites. Build an evidence base from your own practice data to continuously improve outcomes.
Compliance Documentation
Automated documentation for every treatment session including parameters, outcomes, and clinical notes. Generate payer-ready reports demonstrating medical necessity and treatment efficacy.
Research Integration
Connect treatment data to MindCODE's research tools for publication-ready analysis. Contribute to population-level insights while maintaining patient privacy and data governance.
Real-World Scenario
A Patient's Treatment Journey
Follow a 6-week rTMS course from baseline assessment through treatment response, with data-driven decisions at every checkpoint.
Patient James R. completes baseline assessment. PHQ-9 score of 22 indicates severe depression. MindCODE matches his clinical profile — age, symptom cluster, medication history, prior treatment response — against the response cohort database. The system suggests a standard 10Hz left-DLPFC protocol based on his demographics and severity, with a predicted response probability of 68%.
PHQ-9 drops to 19. A 3-point reduction at session 10 represents modest improvement. MindCODE compares this trajectory against similar responder profiles in the database. Patients with this trajectory pattern at the 2-week mark have a 72% probability of achieving response (50% reduction) by session 30. The system recommends continuing the current protocol with no parameter changes.
PHQ-9 reaches 14 — an 8-point reduction from baseline, crossing from severe to moderate range. The trajectory is consistent with a "steady responder" pattern: gradual, consistent improvement without the early dramatic drop seen in rapid responders. Motor threshold has remained stable at 62% maximum stimulator output across all sessions. No side effects beyond mild transient headache reported in 3 of 20 sessions.
PHQ-9 of 9 represents a 59% reduction from baseline — exceeding the 50% threshold for treatment response and dropping below the clinical cutoff of 10. MindCODE generates a comprehensive outcome report for the patient record and payer documentation. The system recommends a maintenance protocol: twice-weekly sessions for 2 weeks, then weekly for 4 weeks, with PHQ-9 monitoring at each visit to detect early signs of relapse.
Protocol Reference
Standard rTMS Protocols
MindCODE supports all major rTMS protocols and helps clinicians select the optimal approach based on patient profile, clinical evidence, and your center's outcome data.
10 Hz (High Frequency)
Target: Left DLPFC
Indication: Major Depressive Disorder — first-line rTMS protocol
10 Hz, 120% MT, 3,000 pulses/session, 30 sessions over 6 weeks
Most extensively studied protocol. MindCODE helps identify patients whose profile matches high-frequency responder patterns based on age, symptom severity, and medication history.
1 Hz (Low Frequency)
Target: Right DLPFC
Indication: Depression with anxiety comorbidity, or patients who do not tolerate high-frequency stimulation
1 Hz, 110% MT, 1,500 pulses/session, 30 sessions over 6 weeks
Lower seizure risk profile. MindCODE tracks anxiety symptom reduction (GAD-7) alongside depression measures to evaluate dual-target efficacy.
Intermittent Theta Burst (iTBS)
Target: Left DLPFC
Indication: FDA-cleared for MDD. Shorter session duration enables higher patient throughput.
Triplet bursts at 50 Hz, repeated at 5 Hz, 600 pulses in ~3 minutes
Session time reduced from 37 minutes to 3 minutes. MindCODE supports head-to-head outcome comparison with conventional 10 Hz protocols within your own patient population.
Continuous Theta Burst (cTBS)
Target: Right DLPFC
Indication: Investigational use for anxiety-predominant presentations and as bilateral protocol complement
Continuous triplet bursts at 50 Hz, 600 pulses in ~40 seconds
Often combined with iTBS to left DLPFC for bilateral stimulation. MindCODE tracks bilateral protocol outcomes separately for comparative analysis.
Outcome Dashboard
What Gets Tracked
Every metric your team needs — from session-level parameters to longitudinal outcome trajectories — in a single, unified view.
PHQ-9 Trajectory
Session-by-session scoring with automated trending, change-point detection, and comparison to responder subtypes in your cohort
Session Adherence
Track completed vs. scheduled sessions, no-show patterns, and rescheduling frequency to identify patients at risk of dropout
Motor Threshold Stability
Monitor MT across sessions to ensure consistent dosing. Flag sessions where MT shifted more than 5% from baseline for clinical review
Side Effect Logging
Structured capture of headache, scalp discomfort, fatigue, and other adverse events with severity, duration, and session correlation
Response Classification
Automatic classification into response subtypes: rapid responder, steady responder, late responder, partial responder, non-responder
Payer Documentation
Auto-generated reports showing medical necessity, treatment progress, and outcome data formatted for insurance prior authorization and appeals
Ready to Get Started?
Build AI systems you can explain, govern, and trust. Whether you are a clinic, a research group, or a regulated software team, MindCODE gives you the infrastructure to move from fragmented data to accountable intelligence.
Or reach us at service@mindcode.cc