🚨NEW PREPRINT🚨. What if we could….🏠 collect quality neural-behavioral data at home.🧠 identify naturalistic + personalized brain signatures of movement state.🚶🏽‍♂️use these biomarkers to drive real-time adaptive DBS for gait disorders. Our new work @DorisWangLab shows how! (1/8)

RT @DBSThinkTank: Congratulations to the 6 finalists of the DBS Think Tank Rising Stars Challenge! Tune in Aug 29 at 1pm EST to listen to e….

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RT @UCSFHospitals: AI can help tailor deep brain stimulation to improve walking performance in people w/ Parkinson’s disease, a study finds….

RT @NeurosurgUCSF: In new work led by @DorisWangLab, researchers developed a systematic way to quantify key aspects of gait in patients wit….

RT @MichaelOkun: Can we reboot walking after Parkinson's disease DBS? .Can AI teach deep brain stimulation devices to help people 'walk the….

RT @NeurosurgUCSF: New in @Nature_NPJ, @DorisWangLab presents an AI approach for identifying personalized deep brain stimulation (DBS) sett….

This project was made possible by amazing postdocs Hamid and Ken, star coords Jannine and Jacob, and of course our patients! Check out our work! (8/8). #Parkinsons #neurophysiology #neuroscience #dbs.

Our results show some of the first in-human classification of a specific movement type using chronic at-home data, piloting a novel pipeline for circuit discovery in the real world, which may be applicable to a wide variety of disorders treatable with neuromodulation. (7/8).

Excitingly, in silico simulation of real-time decoding on-board the DBS device showed above-chance classification across all subjects, supporting the use of the identified neural signatures to control aDBS. (6/8)

We found highly sensitive and specific biomarkers enabling above-chance decoding performance in all hemispheres. The most important features varied by subject, though pallidal features (delta, theta, beta) were generally the most important. (5/8)

Comparing neural activity between gait states, we found ⬇️ M1 alpha and beta power and ⬆️ GP delta and theta activity during periods of walking compared to rest, which may indicate antikinetic and prokinetic roles respectively for these frequency ranges. (4/8).

Here, we:.1) recorded 80+ hours of at-home neural + kinematic data from 4 people with PD using a bidirectional neurostimulator and wearable sensors.2) identified cortical-pallidal signatures of gait state.3) tested the ability of these biomarkers to drive closed-loop aDBS (3/8)

Human movement decoding from neural activity has mostly relied on external computers trained with recordings during short artificial in-lab tasks, limiting our understanding of real-world behavior and preventing the study of complex motor actions such as gait. (2/8).

Read our work on this important and underexplored intersection:

Thrilled to share our paper in @NeurosurgeryCNS characterizing 146 intracranial epidermoid cysts! We discuss high recurrence esp after STR, common postop complications, frequent long-term symptom resolution, and a unique case of malignant transformation:

RT @quintanad06: #ONSNew Our work highlights the use of ICG for preservation of the SHA and adequate optic nerve and stalk perfusion during….

RT @EzeGoldschmidt: Endonasal Endoscopic Resection of a Large Tuberculum Sellae Meningioma With Internal and External Carotid Artery Blood….

Had a great time @CNS_Update sharing our work, hearing from leaders in the field, and learning about all the amazing innovation across the country!

RT @quintanad06: Very excited to see our work out for publication!.

RT @UCSF_OHNS: .@UCSF_OHNS's Drs. José Gurrola, @EzeGoldschmidt & @RithvikRamesh6 showcase an advanced neurosurgical procedure focused on t….