Evidence map›Paper›PMID 39771721›Full record

ArticleSensors (Basel, Switzerland)2024

Optically Controlled Drug Delivery Through Microscale Brain-Machine Interfaces Using Integrated Upconverting Nanoparticles.

Levente Víg, Anita Zátonyi, Bence Csernyus, Ágoston C Horváth, Márton Bojtár, Péter Kele, Miklós Madarász, Balázs Rózsa, Péter Fürjes, Petra Hermann and 3 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Stimuli-Responsive Materials for Biomedical Applications.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Levente VígResearch Group for Implantable Microsystems, Faculty of Information Technology & Bionics, Pázmány Péter Catholic University, H-1083 Budapest, Hungary.ORCID 0009-0000-1473-2382
Anita ZátonyiResearch Group for Implantable Microsystems, Faculty of Information Technology & Bionics, Pázmány Péter Catholic University, H-1083 Budapest, Hungary.
Bence CsernyusResearch Group for Implantable Microsystems, Faculty of Information Technology & Bionics, Pázmány Péter Catholic University, H-1083 Budapest, Hungary.
Ágoston C HorváthResearch Group for Implantable Microsystems, Faculty of Information Technology & Bionics, Pázmány Péter Catholic University, H-1083 Budapest, Hungary.ORCID 0000-0003-2114-9309
Márton BojtárChemical Biology Research Group, Institute of Organic Chemistry, HUN-REN Research Centre for Natural Sciences, H-1117 Budapest, Hungary.ORCID 0000-0001-8459-4659
Péter KeleChemical Biology Research Group, Institute of Organic Chemistry, HUN-REN Research Centre for Natural Sciences, H-1117 Budapest, Hungary.ORCID 0000-0001-7169-5338
Miklós MadarászBrainVisionCenter, H-1094 Budapest, Hungary.ORCID 0000-0001-7057-303X
Balázs RózsaBrainVisionCenter, H-1094 Budapest, Hungary.
Péter FürjesMicrosystems Laboratory, Institute of Technical Physics and Materials Science, HUN-REN Centre for Energy Research, H-1121 Budapest, Hungary.ORCID 0000-0002-8022-4367
Petra HermannMicrosystems Laboratory, Institute of Technical Physics and Materials Science, HUN-REN Centre for Energy Research, H-1121 Budapest, Hungary.
Orsolya HakkelMicrosystems Laboratory, Institute of Technical Physics and Materials Science, HUN-REN Centre for Energy Research, H-1121 Budapest, Hungary.
László PéterComplex Fluid Research Department, Institute of Solid-State Physics and Optics, HUN-REN Wigner Research Centre for Physics, H-1121 Budapest, Hungary.ORCID 0000-0001-5604-0982
Zoltán FeketeResearch Group for Implantable Microsystems, Faculty of Information Technology & Bionics, Pázmány Péter Catholic University, H-1083 Budapest, Hungary.

Funding

Hungarian Academy of Sciences Bolyai Janos ScholarshipHungarian Academy of Sciences (NAP2022I-8/2022National Research, Development and Innovation Office 2020-2.1.1-ED-2022-00208National Research, Development and Innovation Office KFI-2018-00097National Research, Development and Innovation Office NKFIH FK 134403National Research, Development and Innovation Office TKP2021-EGA-04National Research, Development and Innovation Office TKP2021-EGA-42National Research, Development and Innovation Office VKE-2018-00032
6 · The paper itself

Abstract

The aim of this work is to incorporate lanthanide-cored upconversion nanoparticles (UCNP) into the surface of microengineered biomedical implants to create a spatially controlled and optically releasable model drug delivery device in an integrated fashion. Our approach enables silicone-based microelectrocorticography (ECoG) implants holding platinum/iridium recording sites to serve as a stable host of UCNPs. Nanoparticles excitable in the near-infrared (lower energy) regime and emitting visible (higher energy) light are utilized in a study. With the upconverted higher energy photons, we demonstrate the induction of photochemical (cleaving) reactions that enable the local release of specific dyes as a model system near the implant. The modified ECoG electrodes can be implanted in brain tissue to act as an uncaging system that releases small amounts of substance while simultaneously measuring the evoked neural response upon light activation. In this paper, several technological challenges like the surface modification of UCNPs, the immobilization of particles on the implantable platform, and measuring the stability of integrated UCNPs in in vitro and in vivo conditions are addressed in detail. Besides the chemical, mechanical, and optical characterization of the ready-to-use devices, the effect of nanoparticles on the original electrophysiological function is also evaluated. The results confirm that silicone-based brain-machine interfaces can be efficiently complemented with UCNPs to facilitate local model drug release.

Indexed as

Brain-Computer InterfacesDrug Delivery SystemsNanoparticlesAnimalsBrainRatsbiomedical implantbrain–machine interfacesdrug deliveryelectrocorticographyupconverting nanoparticles

Identifiers

PMID39771721
PMCPMC11680031

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.