Focused ultrasound brain stimulation to anesthetized rats induces long-term changes in somatosensory evoked potentials

Seung Schik Yoo, Kyungho Yoon, Phillip Croce, Amanda Cammalleri, Ryan W. Margolin, Wonhye Lee

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20 Citations (Scopus)


Low-intensity transcranial focused ultrasound (FUS) has emerged as a noninvasive brain stimulation modality that can reach deep brain areas with high spatial specificity. Previous studies have identified transient effects of FUS on the brain excitability and accompanying physiological responses. Yet the presence of long-lasting effects of FUS, which extend on the order of half an hour or more, has not been probed. We transcranially applied FUS to the somatosensory areas of the anesthetized rats for 10 min at a low duty cycle (5%) and intensity, far below the level that could alter the tissue temperature. Concurrently, we measured electroencephalographic somatosensory evoked potentials (SEP) induced by the unilateral electrical stimulation of the hind limb before and after the sonication. Compared with the control sham condition that did not involve sonication, differential SEP features were evident and persisted beyond 35 min after the administration of FUS. The presence of this nontransient neuromodulatory effect may provide early evidence that FUS-mediated brain stimulation has the potential to induce neuroplasticity.

Original languageEnglish
Pages (from-to)106-112
Number of pages7
JournalInternational Journal of Imaging Systems and Technology
Issue number2
Publication statusPublished - 2018 Jun

Bibliographical note

Funding Information:
This study was supported by the Focused Ultrasound Surgery Foundation (FUS 461, to W. Lee and S.S. Yoo) and NIH (RO1 MH111763, to S.S. Yoo). The authors thank Dr. Yongzhi Zhang and Mr. Michael Y. Park for the helpful technical advice on rat surgical procedures.

Publisher Copyright:
© 2017 Wiley Periodicals, Inc.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Software
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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