Brain Path Query Planner
Trace a brain:// address from raw bytes to its canonical representation
A brain:// address resolves through an explicit nine-stage query planner. This tool makes the derivation concrete: enter any canonical address — or pick an example — and it parses the path into segments, then assembles the graph that turns raw bytes (e.g. a BIDS run) into the requested representation.
The graph traces a single path’s plan: the raw native source → processing steps → the canonical artifact → the coordinate slice. Each step is annotated with the segment that requires it (such as registration to :mni152 or denoising for :denoised) and the pipeline or library function that implements it — fMRIPrep, eegPrep, sMRIPrep, MNE-Python, and Nilearn. See the full Brain Path Specification for the address grammar and the staged query planner.