Best of luck- we’re cheering for ya!

Great thread and interesting work which further supports the idea that axial dystonic symptoms map closer to cerebellar networks. Nicely aligns with old (and some new) lesion and experimental midbrain stim studies

What an impressive list of achievements! Congrats Doug!

I have one of these and can confirm they induce a cathartic experience. Great for grants and life!

Great take. It‘s sometimes bewildering to me just how advanced imaging pipelines are, while at the same time, behavioral assessments are very rudimentary and crude.

It‘s a wrap! Do you have a video database you‘d like to analyze? Feel free to reach out, or DIY as our code is #opensource. Enjoy the read!

This machine learning framework uncovers latent, but relevant pathosignatures of dystonia. We envision its integration into the modern canon of neuromodulation, neurotechnology and neuroimaging (did I hear dysfunctome?), powering translational & precision Neurology

Finally, data driven analyses of head/neck movements converge on an almost identical feature set across different types of dystonia, supporting the idea that dystonia subtype and severity map onto a "kinematic continuum"

We also find that phasic (tremulous) and tonic (fixed deviations) dystonia components may map to different circuits. Movement disorders aficionados had this gut feeling for quite a while

We identified a set of clinically-inspired features from full video assessments that provide additional insights into disease severity, subtype & brain stim effects. We found: tremor matters! (but hasn't even been quantified in scores for a long time...)

We develop a visual computer vision framework which extracts a rich, yet intuitively interpretable set of kinematic features of head movement dynamics- from videos taken several years (or decades) ago in 7 different academic centers!