PyfUS provides an end-to-end pipeline for fUS data: from registration & signal processing to data-viz.
✅Region-based averaging (400+ regions)
✅Correlation analysis
🔥 Plus: single-voxel clustering for fine spatiotemporal insight at the voxel level.
#neuroimaging #fUS #BrainData

Single-voxel clustering expands the fUS signal analysis toolbox! It enables paradigm-free analysis in behaving subjects, atlas-free investigations, and even brain decoding—unlocking new possibilities in neuroimaging 🧠💡

Our work explores the strengths and limitations of each method, offering insights into the trade-offs between dimensionality and comprehensiveness. A must-read for anyone working with fUS signal analysis! 📊🔍

We compared single-voxel clustering with conventional region-averaging and correlation maps to assess their accuracy in capturing contrast modulation effects on hemodynamic responses. How does our approach stack up? Keep reading! 👇

Very nice talk given today @nerflabs.bsky.social by Robert Olhendorf from @maxplanckcampus.bsky.social about brand new tools for whole-brain molecular hemodynamic imaging 🤩 Very exciting work !