thetntlab.com

Redefining Research:

Smart & Optimized Clinical Trials

We run IRB-based study protocols designed to maximize information per participant and accelerate iteration of neuromodulation parameters and biomarkers. “Smart/Optimized” refers to: (i) standardized clinical endpoints with digital capture (e.g., ePRO/eDiary) alongside objective measures, and (iii) analysis pipelines that support rapid phenotype/state characterization and patient-specific dose–response mapping.

What It Is: A Multimodal, Data-driven Approach

We are initiating in-clinic studies that pair controlled stimulation with synchronized neural + physiological recordings to quantify acute response, identify candidate biomarkers, and inform subsequent personalization and closed-loop design across neurological conditions.

Target Population

Initial studies include healthy volunteers and participants with neurological conditions with a planned expansion to epilepsy/DRE cohorts and chronic pain this year.

Sensing and Recording

We integrate high-resolution neural and physiological signals to quantify state and acute response.

Multimodal Data

Our studies are designed for multimodal data collection in-clinic.  Real-world monitoring is coming.

ML/AI Analysis

Data is analyzed using advanced signal processing and ML/AI algorithm to support phenotyping, state tracking, and patient-specific signatures that inform study design and therapy optimization.

What We Do: Targeting Less Invasive Pathways

Our research seeks to provide relief with less risk. We are initiating feasibility studies to evaluate novel, less invasive neural pathways for neuromodulation therapy.

Our primary research goals include:

Safety and Efficacy:

Assessing the safety, optimal dosage, and tolerability of different neuromodulation paradigms.

Physiological State Characterization

Quantifying how stimulation modulates measurable neurophysiological and autonomic state markers to distinguish clinically relevant states.

Personalized Parameters

Characterizing individual response profiles across a broad parameter space to identify patient-specific settings that perform best.

What We Do: Innovative Dynamic Stimulation Studies

Building on our PI’s prior industry-led work (the Dynamo study design showcased above), which established a rigorous within-subject crossover framework for comparing dynamic stimulation patterns, our lab is now developing and evaluating new classes of dynamic DBS patterns for epilepsy, using HD-EEG to quantify network response and inform biomarker-driven therapy design.

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