AI interpretation
Interpretation is an optional layer after metrics exist. Every output cites computed values from completed runs — the LLM does not invent numbers.
Prerequisites
- Completed graph metrics, NBS, cohort metrics, or microstate pipeline run
- AI interpretation enabled for your workspace (ask your administrator if the Interpret button isn't available)
Graph metrics mode
Plain-language summary of network topology from a single connectivity matrix analysis.
Available for: completed graph_metrics runs on a dataset.
Where to launch: dataset workspace → Interpret panel.
NBS mode
Summary of significant connected components from group-level edge comparison.
Available for: completed cohort_nbs runs on a study.
Where to launch: cohort analysis page → Interpret panel.
Cohort metrics mode
Group-level comparison narrative citing global graph metric differences.
Available for: completed cohort_metrics runs.
Where to launch: cohort analysis page → Interpret panel.
Microstates mode
Interpretation of EEG microstate coverage, duration, occurrence, and transition patterns.
Available for: completed microstates runs on EEG datasets.
Where to launch: dataset workspace → Interpret panel.
Guardrails
Every interpretation artifact includes:
- Research / non-clinical disclaimer
- Metric citation validation (numbers must match run artifacts)
- Cautious language — hypotheses, not diagnoses
Copy text or export JSON from the interpret panel.
What interpretation does not do
- Diagnose neurological or psychiatric conditions
- Replace expert review of preprocessing quality
- Compute new metrics — it explains metrics already in artifacts