Prof. Kimmel and Prof. Shoham's lab


Technion :

The Technion's research team is lead by Prof. Eitan Kimmel and Prof. Shy Shoham from the Faculty ofBiomedical Engineering. Their combined expertise covers different aspects of Therapeutic Ultrasound and Neurotechnology, and they have been collaboratively studying neuro-acoustic interactions since 2006.


The Technion research team also includes Dr. Boris Krasovitski, Dr. Inbar Brosh, and graduate students Michael Assa, Michael Plaksin, Yoni Weissler and Eilon Hazan. 

Recent studies show that ultrasound can non-invasively modulate neural activity, that is, excite or suppress activity in nerve cells. In this project, we aim to create the knowledge infrastructure necessary to optimize ultrasonic neuro-modulation for various applications, particularly for ultrasonic mapping of target areas for DBS electrodes implants (Deep Brain Stimulation). In order to achieve this goal, we are investigating the acoustic neuromodulation mechanisms and mapping and characterizing the factors that influence the type of modulation it creates on nerve cells at the cellular level.


Relevant publications :

  1. Plaksin M, Shoham S* & Kimmel E*, Intramembrane cavitation as a predictive bio-piezoelectric mechanism for ultrasonic brain stimulation, Physical Review X, 4: 011004 (2014)
  2. Krasovitski B, Frenkel V, Shoham S & Kimmel E, Intramembrane cavitation as a unifying mechanism for Ultrasound-induced bioeffects, Natl. Acad. Sci. USA, 108, 3258-3263 (2011)
  3. Naor O, Hertzberg Y, Zemel E, Kimmel E & Shoham S, Towards multifocal ultrasonic neural stimulation II: design considerations for an acoustic retinal prosthesis, Journal of Neural Engineering 9 026006 (2012 (
  4. Mizrahi, N., E. Zhou, G. Lenormand, R. Krishnan, D.Weihs, J.P. Butler, D.A. Weitz, J.J. Fredberg, E. Kimmel. Low intensity ultrasound perturbs cytoskeleton dynamics. Soft Matter 8:2438-2443 (2012)
  5. Hertzberg Y, Naor O, Volovick A & Shoham S, Towards multifocal ultrasonic neural stimulation: pattern generation algorithms, Journal of Neural Engineering 7 056002 (2010)