Reposted by Samuel Le Meur-Diebolt
Exciting times for functional ultrasound! The field is growing fast—and we need to train the next generation. We’re launching the first Paris Ultrasound Workshop, on Dec 8–9 2026.
🎓 Leading experts
🧰 Open-source tools
👩🔬 For new & experienced users
Register by Nov 15!
Link: tinyurl.com/ParisfUSI
![Quality control metrics reveal distinct signatures of motion artifacts. Spatial and temporal QC metrics are displayed for two example acquisitions from dataset 1 with low (a) and high (b) motion artifacts. Both acquisitions were computed using the static SVD60 clutter filter. (Top) The top row shows the average power Doppler, CV, and brain axial velocity images. Both acquisitions show loss of power Doppler intensity in lateral and medial parts of the brain, typical of transcranial acquisitions. Both acquisitions also show high CV and high average axial velocity under the brain, where strong flashing artifacts can be observed during movement in power Doppler films. The high motion artifacts acquisition shows higher CV on lateral parts and on the brain edge, and higher axial velocity inside the brain. (Middle) The middle row shows the rGS, GV, and rDVARS signal. Note the co-occurrence of bursts in all three metrics, indicating that bursts of rGS (and thus rDVARS) are associated with high axial velocities. The high motion artifact acquisition shows more of the bursts, with higher amplitude in average. (Bottom) The bottom row shows three example seed-based maps with seeds placed in the primary somatosensory cortex, hippocampus, and thalamus. Seed-based maps were computed using the standard denoising strategy (static SVD60 clutter filtering without brain mask, scrubbing using rGS above 10%, [0.01, 0.1] Hz band-pass filtering, and GSR). Seed-based maps are thresholded to keep 10% of voxels with highest correlation values. Maps are overlaid on the Allen Mouse Brain CCFv3 template. The high motion artifacts acquisition shows loss of bilateral connectivity with more anti-correlated artifacts.](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:pduldquikmp74xsdjvfoxlsq/bafkreickubxk5xqvnv2uxwxvabmtpopvkicvq5qp7ncu6penuqfsccwlve)
