“Data processing techniques impact quantification of cortico-cortical evoked potentials” in Journal of Neuroscience Methods details the impact of signal processing on evoked-potential analysiis

GridLab-affiliated Neuroscience PhD student Lila Levinson’s work to investigate the impact of signal processing methods on neurological evoked-potential characterization has been published in the Journal of Neuroscience Methods in “Data processing techniques impact quantification of cortico-cortical evoked potentials“. Great work on this project Lila – this has been a monster of a paper and it was a pleasure working with you on it!

Panel member for the “Cognitive Connections: Exploring Brain-Computer-Interfaces through Systems and Experiments” session at the 2024 IEEE Custom Integrated Circuits Conference

I’m an invited panelist at the upcoming 2024 IEEE Custom Integrated Circuits Conference (CICC) to discuss my work in the fields of Brain Computer Interfaces and Neuromodulation!

The session has an exciting lineup which also includes:

  • Shadi Dayeh, University of California, San Diego, USA
  • Roman Genov, University of Toronto, Canada
  • Minkyu Je, KAIST, South Korea
  • Mahsa Shoaran, EPFL, Switzerland

Looking forward to seeing you all there and having a great discussion!

Research progress being presented at 2023 Society for Neuroscience this November

While I won’t be able to attend SFN 2023 in Washington DC later this year, I am sending several students from the lab to present their latest results. PhD student Hanbin Cho’s poster is detailing the latest results of her phasic-stimulation system with the CorTec Brain Interchange and PhD student Raphael Bechtold’s poster addresses artifacts in adaptive Deep Brain Stimulation applications where patients are implanted with multiple devices. Make sure you swing by and check out their work!

I also want to give a big shout-out to my collaborators who are also presenting results that I’ve been involved in! Please swing by these posters as well:

Start of the Academic Year 2023-2024

This quarter I’ll be teaming up with CSE Professor Rajesh Rao to teach Neural Engineering: BIOEN 460/560, EE 460/560, CSE 490N. The course is focused on introducing the wide field of neural engineering to senior undergraduates and graduate students, including the organization of the nervous system, brain computer interfaces, neural device design, and neuroethics. Thanks in advance to the guest speakers that have also agreed to present to the class, and for anyone who is registered for the course and reading this – looking forward to seeing you in class!

2023 IEEE EMBS Conference on Neural Engineering (NER)

Two of my PhD students and I travelled to Baltimore this week to present our latest work at the IEEE NER Conference. It was a great conference with fascinating talks and a wonderful opportunity to get back together with the field in-person again.

CSE PhD Student Ellie Strandquist presented her Weill-Neurohub funded work developing tools to collect extensive video and patient data from study participant’s homes who are enrolled in an adaptive deep brain stimulation study. This work was performed in collaboration with Simon Little of UCSF, Jack Gallant at UC Berkeley, as well as students and research staff distributed amongst the three Universities. Her work can be read in more detail here: https://ieeexplore.ieee.org/abstract/document/10123851

ECE PhD student Hanbin Cho presented her work developing software interfaces for use with the CorTec Brain Interchange and demonstrated the use of closed-loop stimulation with the platform. Her work can be read in more detail here: https://ieeexplore.ieee.org/abstract/document/10123808

 

Upcoming research papers to be presented at the IEEE EMBS Conference on Neural Engineering in Baltimore this April

I and several of my students will be attending the upcoming IEEE EMBCS Conference on Neural Engineering in Baltimore in a little over a month! We have two papers accepted, come check out our posters at the Thursday poster sessions!

Second year ECE PhD student Hanbin Cho will be presenting her ongoing work developing a gRPC-enabled microservice to enable flexible use of the CorTec Brain Interchange in upcoming clinical studies. Her paper, ID# 1570869464, is titled “Open Mind Neuromodulation Interface for the CorTec Brain Interchange (OMNI-BIC): an investigational distributed research platform for next-generation clinical neuromodulation research” and there is a preprint available here.

Third year CSE PhD student Gabrielle Strandquist will be presenting her ongoing work developing methods for video-based bradykinesia symptom assessment from remote monitoring platforms. Her paper, ID# 1570869723, is titled “In-Home Video and IMU Kinematics of Self Guided Tasks Correlate with Clinical Bradykinesia Scores” and there is a preprint available here.