BRAINยทNAV

๐ŸŽ“ Guided lessons

Things that happen in the world

Signal

Latencies (ms) are approximate literature values for orientation. Animation pace is slowed and set by distance, not real time.

โ–ถ fires a signal ยท ๐ŸŽฅ rides along the pathway (Space pause, โ†/โ†’ step, Esc exit). Routes are schematic splines through anatomical centroids, not tractography yet.

Switch on a condition, then fire an event and compare with the healthy brain. Conditions combine (e.g. Parkinson's + levodopa, tardive dyskinesia + antipsychotic). Signals carry an amplitude: โ–ผ weak / dim, โ–ฒ overactive / hot, โœ• fails to propagate.

Basal-ganglia effects use a didactic Albinโ€“DeLong firing-rate model; lesion positions and severities are illustrative, not patient data.

Structural connectome from the HCP-1065 tractography atlas. Every streamline's two endpoints are labelled with the cortical area (HCP-MMP1, 360 areas) or subcortical structure they end in. Click any region on the brain (or search) to light its real fibres and fire a wave to its partners.

Counts are streamlines in a population-average tractogram (n=1065): a measure of anatomical connection, not of synaptic strength or direction. Fibres shown are a baked subset (120โ€“250 per bundle).

Registration (MNI โ†’ this brain)

Tractography

Cortical parcellation

Time series (fMRI / EEG sources)

Overlays

Imported meshes

Loaded data is kept in this page. "โค“ HTML" (World tab) bakes it into a new single file.

The world is generated from this text: groups, display defaults, placeholder nuclei, pathways and events. Edit it, then press Apply. Syntax is documented at the top.

Signal log

BRAINยทNAV

Watch signals travel through a human brain

A 3D brain built from MRI, with real white-matter fibres. Make something happen in the world and follow the signal, or switch on a disease and see what breaks.

Best on a desktop or tablet. Teaching model, not a clinical tool.

Brain Nav ยท controls

Orbit modedrag to rotate ยท right-drag to pan ยท wheel to zoom ยท double-click a structure to fly to it ยท Alt-click picks through tissue
Fly mode Fclick to capture the mouse ยท WASD move ยท Space/E up ยท C/Q down ยท Shift fast ยท Alt slow ยท wheel changes speed ยท click picks the structure under the crosshair ยท Esc releases the mouse
Ride ๐ŸŽฅSpace pause ยท โ†/โ†’ previous/next relay ยท Esc exit
Lessonsโ†/โ†’ previous/next step ยท Esc exit
Share๐Ÿ”— copies a link to exactly what you see: camera, conditions, split view, the last event, a selected structure or lesson step
OtherC camera follows the signal ยท V split view (healthy | condition) ยท L signal labels on/off ยท O orbit ยท R reset view ยท Tab panel ยท H help ยท X stop signals
Coordinatesmillimetres from the model centre ยท +x right ยท +y superior ยท +z anterior
Signalsexcitatory > radial sparks ยท inhibitory -| imploding red, dashed tube ยท modulatory ~> diffuse cloud

Geometry: NIH 3D / HuBMAP "VH Male Allen Brain" (283 segmented structures). Items labelled [placeholder] are approximate stand-ins for structures missing from the model. Define or move them in the World tab.

Tractography: HCP-1065 population-averaged tractography atlas, CC BY-SA 4.0. Yeh F.-C., Population-based tract-to-region connectome of the human brain and its hierarchical topology, Nat Commun 13:4933 (2022). Data were provided by the Human Connectome Project, WU-Minn Consortium (PIs David Van Essen and Kamil Ugurbil; 1U54MH091657), funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research, and by the McDonnell Center for Systems Neuroscience at Washington University. Registration landmarks: Harvard-Oxford atlas (FSL), plus Neudorfer and CIT168 deep structures.

Nuclei and areas: hypothalamic region atlas, Neudorfer C. et al., Sci Data 7:305 (2020), CC BY 4.0 ยท Harvard Ascending Arousal Network atlas v2.0, Edlow B.L. et al. (CC0) ยท CIT168 subcortical atlas, Pauli W.M., Nili A.N. & Tyszka J.M., Sci Data 5:180063 (2018), CC BY 4.0 ยท HCP-MMP1.0 cortical parcellation, Glasser M.F. et al., Nature 536:171 (2016), volumetric MNI version by A. Horn (figshare, CC BY 4.0). Connectome: HCP-1065 streamline endpoints ร— HCP-MMP1 + Harvard-Oxford subcortical.

Data tab: drop .trk/.tck tractography, .nii/.nii.gz maps or meshes (STL/OBJ/PLY/GLB). Name a mesh like a structure (e.g. SCN_L.stl) to replace that placeholder. Standard-space data is warped in through the MNI landmarks.

decoding brainโ€ฆ