了解超声神经调节的高阶网络可塑性机制。

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
PLoS Computational Biology Pub Date : 2025-10-06 eCollection Date: 2025-10-01 DOI:10.1371/journal.pcbi.1013514
Marilyn Gatica, Cyril Atkinson-Clement, Carlos Coronel-Oliveros, Mohammad Alkhawashki, Pedro A M Mediano, Enzo Tagliazucchi, Fernando E Rosas, Marcus Kaiser, Giovanni Petri
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引用次数: 0

摘要

经颅超声刺激(TUS)是一种新兴的非侵入性神经调节技术,为精神和神经疾病的药物治疗提供了潜在的替代方案。虽然功能分析有助于表征TUS效应,但了解其在整个网络中的间接影响仍然具有挑战性。在这里,我们开发了一个全脑模型来表示功能变化,通过fMRI测量,使我们能够研究tus诱导的效应如何随着刺激强度的增加而在整个大脑中传播。我们实施了两种机制:一种基于解剖距离,另一种基于广播动力学,以探索特定大脑区域的可塑性驱动变化。最后,我们强调了高阶功能相互作用在两个目标区域(右丘脑和额叶下皮层)离线TUS空间效应定位中的作用,揭示了不同的功能重组模式。这项工作为TUS的机制认识和预测模型奠定了基础,促进了其潜在的临床应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding the high-order network plasticity mechanisms of ultrasound neuromodulation.

Transcranial ultrasound stimulation (TUS) is an emerging non-invasive neuromodulation technique, offering a potential alternative to pharmacological treatments for psychiatric and neurological disorders. While functional analysis has been instrumental in characterizing the TUS effects, understanding its indirect influence across the network remains challenging. Here, we developed a whole-brain model to represent functional changes as measured by fMRI, enabling us to investigate how TUS-induced effects propagate throughout the brain with increasing stimulus intensity. We implemented two mechanisms: one based on anatomical distance and another on broadcasting dynamics, to explore plasticity-driven changes in specific brain regions. Finally, we highlighted the role of higher-order functional interactions in localizing spatial effects of off-line TUS at two target areas-the right thalamus and inferior frontal cortex-revealing distinct patterns of functional reorganization. This work lays the foundation for mechanistic insights and predictive models of TUS, advancing its potential clinical applications.

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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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