Congratulations to Cash lab members and a massive team both at MGH and across institutions on the publication “DREDge: robust motion correction for high-density extracellular recordings across species” in Nature Methods!! We worked with Charlie Windolf, Erdem Varol, and Han Yu at Columbia and NYU who gathered a massive collaborative consortium of labs to develop and test out a new algorithm for correcting for motion in high resolution recordings across species from mice to NHPs to humans! A lot of this work was inspired by the motion artifact from brain movements in human brain recordings due to breathing and heartrate changes and involves using the local field potential to correct for the motion artifact to allow for improved spike sorting and motion-corrected local field potential. However, DREDGE is also great for correcting for motion using action potentials!
Windolf, C., Yu, H., Paulk, A.C. et al. DREDge: robust motion correction for high-density extracellular recordings across species. Nat Methods (2025).
https://doi.org/10.1038/s41592-025-02614-5
Github: https://github.com/evarol/dredge
And also included in SpikeInterface: https://spikeinterface.readthedocs.io/en/stable/