ArticleBioelectronic medicine2026
Resonant core-shell magnetoelectric nanoparticles as sensors of neural magnetic activity: a computational study.
Article in Bioelectronic medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
2 citing papers in PubMed.
- A Multi-Scale Computational Framework for Evaluating Wireless Neuromodulation Feasibility via Magnetoelectric Nanoparticles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Neural Interfaces for Bioelectronic Medicine.Bioelectronic medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Measuring the weak magnetic fields generated by spontaneous biological activity, such as those produced in the brain or heart, offers complementary information to conventional electrophysiological techniques, as electroencephalography and electrocardiography. Nevertheless, the widespread clinical use of biomagnetic sensing is hindered by the bulky and costly technology currently available, including SQUID-based and optically pumped magnetometers. In recent years magnetoelectric materials have been explored as highly sensitive, room-temperature magnetic field sensors, offering a compelling alternative to conventional approaches. Here, we investigate the feasibility of using resonant magnetoelectric nanoparticles (MENPs) as nanoscale magnetic sensors by exploiting the delta-E effect, in which magnetic-field-induced changes in elastic properties, i.e. Young's modulus, shift the nanoparticle's resonance frequency. Using a computational modeling approach, we first developed and characterized a core-shell MENP model. We then identified its natural resonance frequencies in the GHz range, evaluated its sensitivity to external magnetic field variations, and determined the optimal bias static magnetic field and core radius for maximum sensitivity. Finally, we assessed the performance of the optimized nanoparticle in detecting neural-level magnetic fields. Our simulations demonstrate that MENP can achieve a maximum sensitivity of 2.59 Hz/nT for a core diameter of 50 nm under a bias static magnetic field of 1000 Oe. These findings highlight both the feasibility of exploiting the delta-E effect in MENPs and the tunability of their structural parameters, which could be tailored for specific applications. In conclusion, this work set the theoretical groundwork for the development of cutting-edge, wireless and non-invasive nanoscale magnetic sensors for neural interfacing and biomedical signals sensing.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.