Evidence map›Paper›PMID 37434349›Full record

ArticleAdvanced healthcare materials2023

Toward the Next Generation of Neural Iontronic Interfaces.

Csaba Forró, Simon Musall, Viviana Rincón Montes, John Linkhorst, Peter Walter, Matthias Wessling, Andreas Offenhäusser, Sven Ingebrandt, Yvonne Weber, Angelika Lampert and 1 more

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
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

11 authors.

Csaba ForróInstitute for Biological Information Processing - Bioelectronics IBI-3, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.
Simon MusallInstitute for Biological Information Processing - Bioelectronics IBI-3, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.
Viviana Rincón MontesInstitute for Biological Information Processing - Bioelectronics IBI-3, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.
John LinkhorstChemical Process Engineering, RWTH Aachen, Forckenbeckstr. 51, 52074, Aachen, Germany.
Peter WalterDepartment of Ophthalmology, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.
Matthias WesslingChemical Process Engineering, RWTH Aachen, Forckenbeckstr. 51, 52074, Aachen, Germany.
Andreas OffenhäusserInstitute for Biological Information Processing - Bioelectronics IBI-3, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.
Sven IngebrandtInstitute of Materials in Electrical Engineering 1, RWTH Aachen, Sommerfeldstr. 24, 52074, Aachen, Germany.
Yvonne WeberDepartment of Epileptology, Neurology, RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.
Angelika LampertInstitute of Neurophysiology, Uniklinik RWTH Aachen, Pauwelsstrasse 30, 52074, Aachen, Germany.ORCID 0000-0001-6319-6272
Francesca SantoroInstitute for Biological Information Processing - Bioelectronics IBI-3, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.ORCID 0000-0001-7323-9504

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural interfaces are evolving at a rapid pace owing to advances in material science and fabrication, reduced cost of scalable complementary metal oxide semiconductor (CMOS) technologies, and highly interdisciplinary teams of researchers and engineers that span a large range from basic to applied and clinical sciences. This study outlines currently established technologies, defined as instruments and biological study systems that are routinely used in neuroscientific research. After identifying the shortcomings of current technologies, such as a lack of biocompatibility, topological optimization, low bandwidth, and lack of transparency, it maps out promising directions along which progress should be made to achieve the next generation of symbiotic and intelligent neural interfaces. Lastly, it proposes novel applications that can be achieved by these developments, ranging from the understanding and reproduction of synaptic learning to live-long multimodal measurements to monitor and treat various neuronal disorders.

Indexed as

NeuronsSemiconductorsbiomimeticsiontronicsneural interfacesneuromorphic devicesseamless integration

Identifiers

PMID37434349
PMCPMC11468917

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.