Beautiful visualization illustrating the complexity of striatopallidal fiber passage with ex-vivo dMRI.

Come join us in beautiful Northern California and work on sleep and DBS! opportunities.ucsf.edu/content/postdo…

Important work showing the "exposome" (factor combining family, school, SES, etc.) predicts future cognitive performance better than deep individualized neuroimaging data. This should make us think deeply about what neuroscience can (or can't!!) tell us about real world outcomes!

Excited to share this paper using new neurotech and explainable AI to advance DBS for treatment resistant #depression (TRD). Team effort including Helen Mayberg, MD, Sankar Alagapan and Patricio Riva-Posse. Summary thread! go.nature.com/48lmlzC @nature PC: Mike Halerz

Super happy to have a review out with two great colleagues & friends nature.com/articles/s4153…

🧠 Exciting News! Thrilled to announce the commencement of our new study exploring cerebellar deep brain stimulation to enhance mobility and quality of life in children/young adults with cerebral palsy. Details below👇 #CerebralPalsy #DBS clinicaltrials.ucsf.edu/trial/NCT06122…

Super happy to share some work by an awesome team led by Fahim Anjum investigating NREM sleep dysfunction in PD. Turns out that beta burst aren’t just naughty in the daytime… doi.org/10.1038/s41467…

There are 17 DBS and neuromodulation articles now published in Volume IV DBS Think Tank Frontiers - Neuroscience and the editorial is 'fresh' out this week and led by Kara Johnson, PhD The DBS Think Tank Proceedings led Joshua Wong also out. Read about: 1- Improving clinical practice and

Video-based machine learning can help clinicians predict motor impairment severity for patients w/ #ParkinsonsDisease, a study finds. The system "could support faster & better diagnostics & treatment in the future.” UCSF’s Dr. Simon Little says. ucsfh.org/45ZEoKO

Our study on reward and effort signals in PFC theta and basal ganglia beta is now out in PNASNews! Big thanks to the team (esp Coralie de Hemptinne and Simon Little), reviewers, and patients. pnas.org/doi/10.1073/pn… Data: osf.io/jq6z4/ Code: github.com/hoycw/PRJ_OFC_…

So proud of our 3 female first co-authors who led this project Carina Oehrn, Stephanie Cernera & Lauren H Hammer along with friend and co-senior author Philip Starr. Adaptive DBS for Parkinson's is out of the lab and into the real-world!

Why is DBS still a 'black box' to many folks with Parkinson's and beyond? Great pic from National Academy of Medicine National Academy of Sciences by Lauren Hammer who won 2023 DBS Rising Star Challenge. Free download of the proceedings. Exploring the Adoption of Implantable Brain Stimulation into Standard

Happy to share this preprint completed with Tanner Dixon and colleagues! Why try and smooth over and ignore movement in adaptive DBS when you can target it directly? All completed remotely in our patients home with a fully automated end-to-end programming pipeline…

Incredible resource from the hugely talented Bonaiuto lab. Want to run super high resolution MEG with laminar level hypothesis testing without having to write 10,000 lines of code?! Here’s your toolkit

1 million Americans have Parkinson’s disease. UCSF researchers are developing a new treatment, adaptive deep brain stimulation, that tunes into a patient’s brain signals and adjusts therapy as PD symptoms rise and fall. tiny.ucsf.edu/UFW7rX Simon Little UCSF Neurosurgery