Nathan Kirkpatrick defends his PhD! Congratulations Dr. Kirkpatrick!

Nathan Kirkpatrick defended his PhD on January 15, 2025.  Congratulations Nathan! Nathan will soon be starting a job as a Senior Research and Development Engineer at Boston Scientific in Minneapolis.

Committee Members:
Robert Butera, PhD (Co-Advisor); Young-Hui Chang, PhD (Co-Advisor); Gordon Berman, PhD; Timothy Cope, PhD; Omer Inan, PhD; Anqi Wu, PhD


Title: Novel methods to study adaptation to nerve injury

Abstract
Animals need to be able to rapidly overcome neuromuscular injury and maintain locomotion to survive. Traditional nerve transection techniques have shown that adaptation priorities emerge over days to weeks, ultimately re-establishing overall limb length despite joint-level deficits. However, these methods offer limited insights into the initial seconds to minutes following nerve or muscle dysfunction. Analysis of accurate kinematics data is time and resource intensive, and the post-operative recovery period effects early-stage gait. To address this gap, we paired machine learning-based kinematics processing and analysis tools with a quickly reversible, on-demand nerve conduction block. We hypothesized that rats would begin to adapt immediately with temporary nerve injury and also exhibit signs of compensatory adjustments with repeated exposure as indicated by a burgeoning prioritization of the overall limb length over time. Furthermore, we hypothesized that the earliest period of adaptation to nerve injury would involve feedforward control strategies to maintain overall limb length such that an after-effect would be present when nerve signaling returned. To test this, we inhibited muscle nerve signaling in rats performing treadmill locomotion during 4 separate sessions. In support of our hypotheses, limb length began to be conserved immediately during nerve block, and we observed additional changes by session 4. After-effects were also seen; during post-block, limb length initially over-corrected before returning to baseline. This un-paralleled glimpse into rapid adaptation to nerve injury support a compensatory timescale much shorter than previously thought and expand our understanding of neuroplasticity as it relates to the control of legged locomotion.

new publication — effects of electrode materials on efficacy of kHz electrical stimulation

Congrtulations to Yogi Patel (recent PhD) and Brian Kim (recent BS BME).  Their recent paper was published in the IEEE Transactions on Neural Systems and Rehabilitation Engineering.  You can read a copy online here.

Y. A. Patel, B. S. Kim, and R. J. Butera. “Kilohertz Electrical Stimulation Nerve Conduction Block: Effects of Electrode Material.” (2017) IEEE Transactions on Neural Systems and Rehabilitation Engineering.  Accepted August, 2017.

Abstract

Kilohertz electrical stimulation (KES) has enabled a novel new paradigm for spinal cord and peripheral nerve stimulation to treat a variety of neurological diseases. KES can excite or inhibit nerve activity and is used in many clinical devices today. However, the impact of different electrode materials on the efficacy of KES is unknown. We investigated the effect of different electrode materials and their respective charge injection mechanisms on KES nerve block thresholds using 20 and 40 kHz current-controlled sinusoidal KES waveforms. We evaluated the nerve block threshold and the power requirements for achieving an effective KES nerve block. In addition, we evaluated potential effects on the onset duration and recovery of normal conduction after delivery of KES. We found that thresholds and the onset and recovery of KES nerve block are not a function of the electrode material. In contrast, the power dissipation varies among electrode materials and are a function of the materials’ properties at high frequencies. We conclude that materials with a proven track record of chronic stability, both for the tissue and electrode, are suitable for developing KES nerve block therapies.

 

RTXI paper published – congrats Yogi Patel!

Our long term collaboration developing open-source software had the latest iteration of the system published in PLOS Computational Biology.  Yogi Patel is the lead author. This is in collaboration with the labs of Dave Christini at Weill Medical College of Cornell University, Chuck Dorval at University of Utah, and John White at Boston University.

Y. A. Patel, A. George, A. Dorval, J. White, D. Christini, and R. J. Butera. “Hard real-time closed-loop electrophysiology with the Real-Time eXperiment Interface (RTXI).”  (2017) PLOS Computational Biology.  13(5):e1005430. PMC5469488

Paper link here

 

Liangyu Tao and Vineet Tiruvadi present at CNS 2017

Liangyu Tao (undergrad BME major) and Vineet Tiruvadi (BME MD/PhD student) will present at the CNS-2017 meeting in Antwerp, Belgium.  Rehman is also BME undergrad alum from the lab (now a PhD student at Stanford). Their paper info is below.

Modeling dynamic oscillations: A method of inferring neural behavior through mean field network models
Authors: Tao Liangyu, Vineet Tiruvadi, Rehman Ali, Helen Mayberg, Rob Butera