ArticleNature communications2026
Soft sonocapacitor with topologically integrated piezodielectric nanospheres enables wireless epidural closed-loop neuromodulation.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Capacitively coupled electrical stimulation modulates neuronal activity through reversible charging and without charge transfer reactions. This represents a promising and safe neuromodulation scheme but achieving wireless and high capacitive charge density injection remains challenging. Here, we developed a topological fibrous-architecture sonocapacitor (SonoCap) that assembled from piezoelectric-dielectric composite nanosphere (UCapT) and two-dimensional cellulose. UCapT features a unique piezoelectric core-hollow cavity-dielectric cage structure that can efficiently couples ultrasound excitation to achieve piezoelectric electron-capacitance transfer, and its highly assembled SonoCap achieves cumulative charge storage, a high ion-accessible surface area, and macroscopic softness, thereby enabling wireless and high capacitive charge density injection. SonoCap can achieve a capacitive charge density output of up to 9.7 mC cm
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.