The Intelligence Pipeline
Behind SynDx
Transforming raw EEG signals into clinically actionable neurophysiology insights through advanced signal processing, biomarker computation, and explainable AI.
How SynDx Converts Brain Signals Into Clinical Insight
SynDx processes raw EEG signals through a multi-stage neurophysiology pipeline combining signal processing, biomarker extraction, functional connectivity modeling, and explainable artificial intelligence.
Clinical Workflow
EEG Acquisition
Resting-state EEG recorded in clinic or partner lab.
Preprocessing
Automated artifact removal, filtering, and normalization.
Biomarker Extraction
Computation of TBR, FAA, IAPF, and wPLI metrics.
Connectivity Graph
Functional brain network constructed using weighted phase lag index.
Hybrid AI Fusion
Neuro-symbolic AI integrates biomarkers and connectivity features.
Clinician Report
Automated report delivered through secure portal.
Signal Processing Architecture
Artifact Rejection
Independent component analysis removes ocular, muscular, and motion artifacts.
Spectral Decomposition
Fourier and wavelet transforms isolate theta, alpha, beta, and gamma oscillations.
Riemannian Signal Representation
EEG covariance matrices mapped to Riemannian manifolds enabling robust statistical modeling.
Core EEG Biomarkers
Quantitative metrics extracted from raw physiological data fueling the predictive AI engine.
TBR
Attention regulation biomarker associated with ADHD.
FAA
Frontal alpha imbalance associated with depression.
FTC
Marker linked to treatment response.
IAPF
Dominant alpha rhythm frequency.
wPLI
Functional connectivity metric.
Brain Connectivity Modeling
Functional connectivity networks derived from EEG phase synchronization metrics. We map how different brain regions communicate in real-time.
Phase Synchronization
Measuring temporal alignment between signals.
Network Architecture
Identifying neural hubs and local clusters.
Hybrid Neuro-Symbolic Intelligence
SynDx combines deterministic neurophysiology models with machine learning inference to generate interpretative clinical insights without the "black box" problem.
Explainable Models
AI highlights which biomarkers influence predictions.
Normative Brain Models
Patient EEG patterns compared against population baselines.
Clinical Probability Engine
Outputs diagnostic probability estimates.
Clinical Decision Support
Actionable intelligence delivered securely to your clinical dashboard.
Diagnostic Support
Biomarker evidence supporting differential diagnosis.
Treatment Guidance
Biomarkers predicting treatment response.
Longitudinal Monitoring
Track neural changes over time.
Where the Pipeline is Used
Psychiatry
Biomarker-based diagnosis for depression and ADHD.
Neurology
Automated quantitative EEG analysis.
Pharmaceutical Trials
Neurophysiology biomarkers for clinical trials.
Bring the SynDx Pipeline to Your Clinic
Join our clinical network and gain early access to SynDx neurophysiology tools.