Towards multifocal ultrasonic neural stimulation: pattern generation algorithms

• Published in: Journal of neural engineering 2010-10, Vol.7 (5), p.056002-056002
• Main Authors: Hertzberg, Yoni, Naor, Omer, Volovick, Alexander, Shoham, Shy
• Format: Article
• Language: English
• Subjects: Algorithms; Image Interpretation, Computer-Assisted; Neural Networks (Computer); Optical Devices; Random Allocation; Ultrasonics - methods
• ISSN: 1741-2552; 1741-2560; 1741-2552
• DOI: 10.1088/1741-2560/7/5/056002

Focused ultrasound (FUS) waves directed onto neural structures have been shown to dynamically modulate neural activity and excitability, opening up a range of possible systems and applications where the non-invasiveness, safety, mm-range resolution and other characteristics of FUS are advantageous. As in other neuro-stimulation and modulation modalities, the highly distributed and parallel nature of neural systems and neural information processing call for the development of appropriately patterned stimulation strategies which could simultaneously address multiple sites in flexible patterns. Here, we study the generation of sparse multi-focal ultrasonic distributions using phase-only modulation in ultrasonic phased arrays. We analyse the relative performance of an existing algorithm for generating multifocal ultrasonic distributions and new algorithms that we adapt from the field of optical digital holography, and find that generally the weighted Gerchberg-Saxton algorithm leads to overall superior efficiency and uniformity in the focal spots, without significantly increasing the computational burden. By combining phased-array FUS and magnetic-resonance thermometry we experimentally demonstrate the simultaneous generation of tightly focused multifocal distributions in a tissue phantom, a first step towards patterned FUS neuro-modulation systems and devices.