Brittany H. Scheid

🧠 Now published in Brain Stimulation: paper with @ojemannw looking at RNS EEG recordings, stimulation, and multi-day cycles of seizure risk! 〰️🎉 🌟sciencedirect.com/science/articl… A great collaboration with some challenging data! 📈🔬 Let's break down the key insights from our study 🧵

Looking for a fast and easy way to coregister images and reconstruct electrodes on MRI? Our iEEG-Recon poster related to our recent preprint (medrxiv.org/content/10.110… ) is still up at @AES! Poster 2.195! Open source toolbox here: ieeg-recon.readthedocs.io/en/latest/

🔗 Full pub: Resting-state background features demonstrate multidien cycles in long-term EEG device recordings. sciencedirect.com/science/articl… with Sofia Mouchtaris, @alfrelucs, Joshua LaRocque, Carlos Aguila, @arianAshourvan, @CaciagliLorenzo, @katedavis12341, Erin Conrad, @BrianLitt2

🤔 Conclusions: Seizure-correlated dIEA cycles aren't solely found in epileptiform discharges, but link to background brain state measures. Neurostimulation might temporarily interrupt these cycles. Another perspective on this captivating multidien phenomenon!

🧠 Now published in Brain Stimulation: paper with @ojemannw looking at RNS EEG recordings, stimulation, and multi-day cycles of seizure risk! 〰️🎉 🌟sciencedirect.com/science/articl… A great collaboration with some challenging data! 📈🔬 Let's break down the key insights from our study 🧵

New preprint with @bscheid @alfrelucs @BrianLitt2 @katedavis12341 @CaciagliLorenzo @ArianAshourvan and more looking at neuromodulation and multi-day cycles in RNS background recordings!

New preprint: "iEEG-recon: A Fast and Scalable Pipeline for Accurate Reconstruction of Intracranial Electrodes and Implantable Devices" medrxiv.org/cgi/content/sh… with @alfrelucs @bscheid @AkashRPattnaik @e_gleich @BrianLitt2 @katedavis12341 @sandhitsu and others

🚨🚨new preprint!!🚨🚨: A quantitative tool for seizure severity: diagnostic and therapeutic applications medrxiv.org/content/10.110… We combine iEEG and semiology + clinical validation! w/ @ojemannw @bscheid @bernabei_john @katedavis12341 @_Nishant_Sinha @BrianLitt2 & others!

Our recent work studying the gene-regulatory mechanisms of pediatric posterior fossa ependymoma is now published at Nature Communications! nature.com/articles/s4146… This paper was a long time in the works and I am very grateful for my co-author Emma Troisi and mentor @camara_pg !

Congrats to @AndrewYRevell and @TCampbellArnold, my talented and inspiring labmates who both just defended! Thank you for your unique contributions to science, and also for the memories, the memes, and the mischief ;) Good times— I can’t wait to see where you go from here! 🥳

New preprint: Change in structural brain network abnormalities after traumatic brain injury determines post-injury recovery arxiv.org/abs/2205.14663 with James Gugger, @ArrastiaDiaz @katedavis12341 @yimingH11 and others. Combining MRI+dMRI+blood biomarkers+CT+recovery postTBI

Data Engineer job at UPenn Work to end epilepsy with an amazing team of clinicians 🥼 and researchers 🧠 Awesome place to work!

Glimpses of the 2022 Bioengineering Graduate Research Symposium happened today! Thank our keynote speaker @elhamazizi for the wonderful presentation, and thank you all for your participation!! @pennbioeng @PennEngineers

☘️New preprint!☘️ bit.ly/MS_LFMRI We assessed MS lesion sensitivity w/ paired 3T and @Hyperfine data. We also automated MS lesion segmentation at 64mT! More @ISMRM low field workshop🧲 Thank you @danielsaloreich @gosamby @JMRothberg @joelsteinmd @danni__tu @welcheb

Excited to see our work published in @braincomms! We add to a growing body of literature studying how iEEG electrode type, spatial distribution, and white matter sampling affect epileptic networks. I'd like to thank the entire team and my mentor @BrianLitt2 for their support!

with @bernabei_john @ANKhambhati, Sofia Mouchtaris, Jay Jeschke @DaniSBassett, Dr. Danielle Becker, @katedavis12341, @DrLucas_on_call, Dr. Werner Doyle, @ChangLabUcsf @dfriedman36, Dr. Vikram Rao, and @BrianLitt2

Multisite RNS biomarker paper now out in Epilepsia (doi.org/10.1111/epi.17…)! Thanks to the incredible collaborative efforts with NYU & UCSF, we identified an iEEG network biomarker that differentiates RNS responders from non-responders prior to device implantation.