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Lookup NU author(s): Professor Marcus Kaiser
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2024 Massachusetts Institute of Technology. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. Low-intensity transcranial ultrasound stimulation (TUS) is a noninvasive technique that safely alters neural activity, reaching deep brain areas with good spatial accuracy. We investigated the effects of TUS in macaques using a recent metric, the synergy minus redundancy rank gradient, which quantifies different kinds of neural information processing. We analyzed this high-order quantity on the fMRI data after TUS in two targets: the supplementary motor area (SMA-TUS) and the frontal polar cortex (FPC-TUS). The TUS produced specific changes at the limbic network at FPC-TUS and the motor network at SMA-TUS and altered the sensorimotor, temporal, and frontal networks in both targets, mostly consistent across macaques. Moreover, there was a reduction in the structural and functional coupling after both stimulations. Finally, the TUS changed the intrinsic high-order network topology, decreasing the modular organization of the redundancy at SMA-TUS and increasing the synergistic integration at FPC-TUS.
Author(s): Gatica M, Atkinson-Clement C, Mediano PAM, Alkhawashki M, Ross J, Sallet J, Kaiser M
Publication type: Article
Publication status: Published
Journal: Network Neuroscience
Year: 2024
Volume: 8
Issue: 4
Pages: 1032-1050
Online publication date: 10/12/2024
Acceptance date: 17/05/2024
Date deposited: 07/04/2025
ISSN (electronic): 2472-1751
Publisher: Massachusetts Institute of Technology
URL: https://doi.org/10.1162/netn_a_00388
DOI: 10.1162/netn_a_00388
Data Access Statement: Code availability: The data analysis was performed in MATLAB version 2022b. The MATLAB code to quantify synergy and redundancy from FID of time series with the Gaussian MMI solver is available at https://doi.org/10.1038/s41593-022-01070-0 (Luppi et al., 2022). The MATLAB code to assess the network analysis is freely available at http://www.brain-connectivity-toolbox.net/ (Rubinov & Sporns, 2010). We downloaded the 3D macaque brain template from the Scalable Brain Atlas web page (https://scalablebrainatlas.incf.org/; Bakker, Tiesinga, & Kötter, 2015; Markov et al., 2014).
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