Magneto-electric nano-particles for non-invasive brain stimulation.
Open accessAbstract
This paper for the first time discusses a computational study of using magneto-electric (ME) nanoparticles to artificially stimulate the neural activity deep in the brain. The new technology provides a unique way to couple electric signals in the neural network to the magnetic dipoles in the nanoparticles with the purpose to enable a non-invasive approach. Simulations of the effect of ME nanoparticles for non-invasively stimulating the brain of a patient with Parkinson's Disease to bring the pulsed sequences of the electric field to the levels comparable to those of healthy people show that the optimized values for the concentration of the 20-nm nanoparticles (with the magneto-electric (ME) coefficient of 100 V cm(-1) Oe(-1) in the aqueous solution) is 3 × 10(6) particles/cc, and the frequency of the externally applied 300-Oe magnetic field is 80 Hz.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Magnetoelectric nanoparticles have already been utilized to control intrinsic fields deep within the mouse brain and have permitted the coupling of external magnetic fields to neuronal electric fields.
“Magnetoelectric nanoparticles have already been utilized to control intrinsic fields deep within the mouse brain and have permitted the coupling of external magnetic fields to neuronal electric fields.”
From Human Brain/Cloud Interface (2019) · cites this paper as Yue et al., 2012
The Introduction describes how ME nanoparticles could couple externally controlled magnetic fields to local electric activity deep in the brain. But the Abstract and Conclusions identify this as a computational study modeling brain stimulation in a patient with Parkinson’s disease, not an experimental use in mouse brains. The claim overstates the work as an accomplished application and assigns it a mouse setting the paper does not report. (LLM, conf=0.91)
Experimental — accuracy not yet measuredMagnetoelectric nanoparticles might also induce nanoparticles to traverse the blood-brain barrier by applying a direct-current magnetic field gradient to the cranial vault.
“Magnetoelectric nanoparticles might also induce nanoparticles to traverse the blood–brain barrier (BBB) by applying a direct-current magnetic field gradient to the cranial vault.”
From Human Brain/Cloud Interface (2019) · cites this paper as Yue et al., 2012
The Introduction (page not specified) proposes that magnetoelectric nanoparticles smaller than approximately 20 nm can penetrate the blood–brain barrier. It does not say that a direct-current magnetic field gradient applied to the cranial vault drives that crossing; the magnetic fields discussed are used to control nanoparticles or stimulate brain activity. (LLM, conf=0.88)
Experimental — accuracy not yet measuredMagnetoelectric nanoparticles may be employed to enhance coupling between external magnetic fields and localized electric fields that emanate from neural networks.
“One promising near-term technology that may enable an interface with brain-based neural networks is magnetoelectric nanoparticles, which may be employed to enhance coupling between external magnetic fields and localized electric fields that emanate from neural networks”
From Human Brain/Cloud Interface (2019) · cites this paper as Yue et al., 2012
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 9
- [1]Barker AT, Jalinous R, Freeston IL (1985) Non-invasive magnetic stimulation of human motor cortex. Lancet 1: 1106– 1107. 2860322
- [2]Pascual-Leone A, Bartres-Faz D, Keenan JP (1999) Transcranial magnetic stimulation: studying the brain-behaviour relationship by induction of ‘virtual lesions’. Philos Trans R Soc Lond B Biol Sci 354: 1229– 1238. 10466148 PMC1692644
- [3]Nitsche MA, Liebetanz D, Antal A, Lang N, Tergau F, Paulus W (2003) Modulation of cortical excitability by weak direct current stimulation—technical, safety and functional aspects. Suppl Clin Neurophysiol 56: 255– 276. 14677403
- [4]Nitsche MA, Paulus W (2001) Sustained excitability elevations induced by transcranial DC motor cortex stimulation in humans. Neurology 57: 1899– 1901. 11723286
- [5]Fregni F (2007) Pascual-Leone A (2007) Technology Insight: noninvasive brain stimulation in neurology—perspectives on the therapeutic potential of rTMS and tDCS. Nature Reviews Neurology 3: 383– 393. 17611487
- [6]Zangen A, Roth Y, Voller B, Hallett M (2005) Transcranial magnetic stimulation of deep brain regions: evidence for efficacy of the H-Coil. Clinical Neurophysiology 116 4: 775– 779. 15792886
- [7]Tokura Y, Seki S (2010) Multiferroics with Spiral Spin Orders. Adv Mater 22: 1554– 1558. 20496385
- [8]Fiebig M (2005) Topical Review: Revival of the magnetoelectric effect. J Phys D: Appl Phys 38: R123– R152.
- [11]So RQ, Kent AR, Grill WM (2011) Relative contributions of local cell and passing fiber activation and silencing to changes in thalamic fidelity during deep brain stimulation and lesioning: a computational modeling study. J Comput Neurosci 32 3: 499– 519. 21984318 PMC3288232
Cited by
Sorted by citations
Magnetoelectric materials for miniature, wireless neural stimulation at therapeutic frequencies
Singer, A., Dutta, S., Lewis, E., Chen, Z., Chen, J. C., Verma, N., Avants, B., Feldman, A. K., O’Malley, J., Beierlein, M., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.05.019 · Cited by 202 · see citing works
Martins, N. R. B., Angelica, A., Chakravarthy, K., Svidinenko, Y., Boehm, F. J., Opris, I., Lebedev, M. A., Swan, M., Garan, S. A., Rosenfeld, J. V., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00112 · Cited by 91 · see citing works
- Authors
- Yue, K., Guduru, R., Hong, J., Liang, P., Nair, M., & Khizroev, S.
- Affiliations
- Florida International University (US)
- University of California, Riverside (US)
- Corresponding author
- Khizroev, Sakhrat
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-09-05
- Volume
- 7
- Issue
- 9
- Pages
- e44040
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3434207
- OpenAlex
- W2021892437
- Cited by
- 161
- References
- 0
- Citations by year
- 2026: 18 · 2025: 22 · 2024: 20 · 2023: 12 · 2022: 15 · 2021: 10 · 2020: 11 · 2019: 8 · 2018: 10 · 2017: 12 · 2016: 11 · 2015: 5 · 2014: 3 · 2013: 4
- FWCI
- 1.48
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Florida International University Digital Commons (Florida International University) (submittedVersion)
- Florida International University Digital Commons (Florida International University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation (005084-002)
- U.S. Department of Defense (H940030920904)
- National Institutes of Health (027049)
- Defense Microelectronics Activity
- National Institute on Drug Abuse (DA # 027049)
- Topics
- Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Multiferroics and related materials
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Characterization and Applications of Magnetic Nanoparticles
- Keywords
- non-invasive brain stimulation, deep brain stimulation, Parkinson's disease, magnetic stimulation, electric field enhancement, nanoparticle concentration optimization, magnetic dipole coupling
- MeSH terms
- Brain, Computer Simulation, Humans, Magnetics, Nerve Net, Parkinson Disease, Nanotechnology, Deep Brain Stimulation, Nanoparticles, Magnetic Fields
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
