Neuromodulation with Ultrasound: Hypotheses on the Directionality of Effects and Community Resource Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.7554/elife.100827.3
Low-intensity Transcranial Ultrasound Stimulation is a promising non-invasive technique for brain stimulation and focal neuromodulation. Research with humans and animal models has raised the possibility that TUS can be biased towards enhancing or suppressing neural function. Here, we first collate a set of hypotheses on the directionality of TUS effects and conduct an initial meta-analysis on available healthy human participant TUS studies reporting stimulation parameters and outcomes (n = 47 studies, 52 experiments). In initial exploratory analyses with univariate tests, we find that parameters such as the intensity and continuity of stimulation (duty cycle) show statistical trends towards likely TUS neural enhancement or suppression of function. Machine-learning analyses were limited by the currently small sample size. Given that human TUS sample sizes are expected to increase, predictability on the directionality of TUS effects could improve if a database is available. Therefore, we establish an inTUS database and resource for the systematic reporting of TUS parameters and outcomes to assist in greater precision in TUS use for brain stimulation and neuromodulation. The paper concludes with a selective review of human clinical TUS studies illustrating how hypotheses on the directionality of TUS effects could be developed for empirical testing in the intended clinical application, not limited to the examples provided.
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- Type
- preprint
- Landing Page
- https://doi.org/10.7554/elife.100827.3
- OA Status
- gold
- Cited By
- 1
- References
- 162
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4415436218Canonical identifier for this work in OpenAlex
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https://doi.org/10.7554/elife.100827.3Digital Object Identifier
- Title
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Neuromodulation with Ultrasound: Hypotheses on the Directionality of Effects and Community ResourceWork title
- Type
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preprintOpenAlex work type
- Publication year
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2025Year of publication
- Publication date
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2025-10-22Full publication date if available
- Authors
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Hugo Caffaratti, Ben Slater, Nour Shaheen, Ariane E. Rhone, Ryan Calmus, Michael Kritikos, Sukhbinder Kumar, Brian J. Dlouhy, Hiroyuki Oya, Timothy D. Griffiths, Aaron D. Boes, Nicholas T. Trapp, Marcus Kaiser, Jérôme Sallet, Matthew I. Banks, Matthew A. Howard, Mario Zanaty, Christopher I. PetkovList of authors in order
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.7554/elife.100827.3Direct OA link when available
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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162Number of works referenced by this work
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