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Welcome to Coherence Workstation

You already know how to read an EEG. You’ve looked at power spectra, compared z-scores to norms, and made clinical decisions based on what you saw. The Coherence Workstation doesn’t replace that skill—it gives you a better instrument for using it.

Coherence Workstation is a desktop application for clinical EEG analysis. It takes recordings from the Neurofield Q20/Q21, runs them through a transparent processing pipeline, and presents the results in an interactive dashboard organized around a step-by-step clinical reading.

What makes it different from other QEEG tools isn’t the math—it’s the organization. Instead of handing you a flat set of metrics and maps, the Coherence Workstation structures your data across multiple levels of description: spectral content, temporal dynamics, spatial architecture, connectivity, source localization, and perturbation-response patterns. Each level reveals something the others can’t.

The goal is interpretation, not classification. You’re not looking for a diagnosis in the data. You’re building a structural description of how this particular nervous system organizes itself—where it’s flexible, where it’s stuck, where it compensates, and where those compensations cost something.

You’re a clinical neurophysiologist, neurotherapist, or QEEG practitioner using the Neurofield Q20/Q21 system. You’re comfortable with EEG data but want a tool that does more than generate z-score maps against a normative database. You want to understand the recording—not just measure it.

The Coherence Workstation supports two interpretive lenses:

  • Clinical Neurotherapy — organized around the Three-Layer Clinical Model (substrate, architecture, dynamics) and five organizational dynamics that describe how nervous systems fail to organize themselves
  • Grammar of a Mind — a seven-question structural protocol that reads the EEG as a description of how a person’s nervous system has learned to meet the world

You don’t have to use either framework. The data is the data. But the software is designed to make structural interpretation natural, not just possible.

This documentation is organized to mirror how you’ll actually use the tool:

Getting Started walks you through installation, your first analysis, and orientation to the dashboard and its key features.

Reading the Analysis covers each analysis stage in the dashboard—what it measures, why it matters clinically, and how to read the output. These pages teach you to think across stages, not just within them.

The Coherence Framework explains the interpretive framework behind the software: the Three-Layer Clinical Model, the five organizational dynamics, the coherence basin model, and the AODEMR perturbation-response sequence.

Clinical Patterns shows what the organizational dynamics look like in actual data—composite clinical vignettes that walk through multi-stage readings.

Reference includes a glossary, normative comparison details, frequently asked questions, and release notes.

The Processing Pipeline documents every step of the signal processing pipeline, every parameter choice, and why each decision was made. Most EEG tools hide this. We think you should be able to see exactly what happens to your data—and why.

Every page of the dashboard includes access to the AI Research Assistant—an AI-powered clinical mentor that can analyze your data in context, answer questions about what you’re seeing, and help you think through the clinical implications. It doesn’t diagnose. It doesn’t prescribe. It helps you reason.

The Research Assistant works in three modes: a guided tour for orientation, a collaborative mode for working through findings together, and a reasoning partner mode for experienced clinicians who want a thinking companion, not a teacher.

These docs are a living resource. Some pages are fully written; others are stubs marking where content is coming. If you see a “Coming Soon” notice, it means we know what belongs there and it’s on the way.

The documentation is part of the product. When you read these pages, you’re not just learning software—you’re learning a way of thinking about EEG data that connects measurement to meaning.