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Related Concept Videos

Brain Imaging01:14

Brain Imaging

219
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
219

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A Physiological Marker for Deep Brain Ultrasonic Neuromodulation.

Taylor D Webb1, Carter Lybbert2, Matthew G Wilson2

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This study shows that electroencephalography (EEG) can guide transcranial ultrasound neuromodulation (TUSN) by detecting specific brain responses. This allows for precise, individualized TUSN therapies for better outcomes.

Keywords:
Deep brainevoked potentialsnoninvasivestimulationultrasound

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Transcranial ultrasound neuromodulation (TUSN) offers noninvasive, spatially specific brain treatments.
  • Individual skull and neural variations necessitate personalized TUSN therapies.
  • Ultrasound-induced voltage potentials offer a potential method for guiding TUSN.

Purpose of the Study:

  • To investigate the use of electroencephalography (EEG) to measure ultrasound-induced voltage potentials for guiding TUSN.
  • To determine if EEG can be used to identify optimal deep brain targets for TUSN.

Main Methods:

  • EEG responses were recorded in nonhuman primates during sonication of 12 targets around deep brain nuclei.
  • Ultrasound evoked potentials were measured following deep brain ultrasonic modulation.
  • A behavioral study assessed the correlation between EEG responses and TUSN effects on visual behavior.

Main Results:

  • Reliable ultrasound evoked potentials were measured using EEG after deep brain ultrasonic modulation in nonhuman primates.
  • Robust EEG responses were observed after minimal ultrasonic stimuli (ten repetitions).
  • Specific deep brain targets reliably evoked these EEG potentials, and behavior correlated with EEG targets.

Conclusions:

  • EEG reliably detects ultrasound evoked potentials, confirming its utility in guiding TUSN.
  • This study demonstrates the feasibility of using EEG for precise, individualized TUSN therapies.
  • EEG-based guidance can enhance the efficacy and specificity of TUSN treatments.