Evidence map›Paper›PMID 22896805›Full record

ReviewACS chemical neuroscience2012

Carbon nanotubes: artificial nanomaterials to engineer single neurons and neuronal networks.

Alessandra Fabbro, Susanna Bosi, Laura Ballerini, Maurizio Prato

Abstract readReview
In one paragraph

Review in ACS chemical neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Advances in Engineering Human Tissue Models.Frontiers in bioengineering and biotechnology · 2020
    Pooled it
  2. Review
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  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
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  11. Review
  12. Article
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  16. Review
  17. Nanotechnology Facilitated Cultured Neuronal Network and Its Applications.International journal of molecular sciences · 2021
    Review
  18. Review
  19. Article
  20. 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

4 authors.

Alessandra FabbroDepartment of Chemical and Pharmaceutical Sciences and Life Science Department, University of Trieste, Trieste, Italy;
Susanna Bosi
Laura Ballerini
Maurizio Prato

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past decade, nanotechnology applications to the nervous system have often involved the study and the use of novel nanomaterials to improve the diagnosis and therapy of neurological diseases. In the field of nanomedicine, carbon nanotubes are evaluated as promising materials for diverse therapeutic and diagnostic applications. Besides, carbon nanotubes are increasingly employed in basic neuroscience approaches, and they have been used in the design of neuronal interfaces or in that of scaffolds promoting neuronal growth in vitro. Ultimately, carbon nanotubes are thought to hold the potential for the development of innovative neurological implants. In this framework, it is particularly relevant to document the impact of interfacing such materials with nerve cells. Carbon nanotubes were shown, when modified with biologically active compounds or functionalized in order to alter their charge, to affect neurite outgrowth and branching. Notably, purified carbon nanotubes used as scaffolds can promote the formation of nanotube-neuron hybrid networks, able per se to affect neuron integrative abilities, network connectivity, and synaptic plasticity. We focus this review on our work over several years directed to investigate the ability of carbon nanotube platforms in providing a new tool for nongenetic manipulations of neuronal performance and network signaling.

Indexed as

NanostructuresNanotubes, CarbonNeural Networks, ComputerAnimalsCells, CulturedHumansNeuronal PlasticityNeuronsPatch-Clamp TechniquesSynapsesTissue EngineeringNanotubes, Carbon

Identifiers

PMID22896805
PMCPMC3419456

What OpenQuestion holds

Textmetadata
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.