Evidence map›Paper›PMID 32585883›Full record

ReviewCells2020

A Single-Neuron: Current Trends and Future Prospects.

Pallavi Gupta, Nandhini Balasubramaniam, Hwan-You Chang, Fan-Gang Tseng, Tuhin Subhra Santra

Abstract readReview
In one paragraph

Review in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Single neurons on microelectrode array chip: manipulation and analyses.Frontiers in bioengineering and biotechnology · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Hybrid Electrical and Optical Neural Interfaces.Journal of micromechanics and microengineering : structures, devices, and systems · 2021
    Article
  11. Review
  12. 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

5 authors.

Pallavi GuptaDepartment of Engineering Design, Indian Institute of Technology Madras, Tamil Nadu 600036, India.
Nandhini BalasubramaniamDepartment of Engineering Design, Indian Institute of Technology Madras, Tamil Nadu 600036, India.
Hwan-You ChangDepartment of Medical Science, National Tsing Hua University, Hsinchu 30013, Taiwan.
Fan-Gang TsengDepartment of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan.ORCID 0000-0001-7654-6905
Tuhin Subhra SantraDepartment of Engineering Design, Indian Institute of Technology Madras, Tamil Nadu 600036, India.ORCID 0000-0002-9403-2155

Funding

DBT-Wellcome Trust India Alliance IA/E/16/1/503062
6 · The paper itself

Abstract

The brain is an intricate network with complex organizational principles facilitating a concerted communication between single-neurons, distinct neuron populations, and remote brain areas. The communication, technically referred to as connectivity, between single-neurons, is the center of many investigations aimed at elucidating pathophysiology, anatomical differences, and structural and functional features. In comparison with bulk analysis, single-neuron analysis can provide precise information about neurons or even sub-neuron level electrophysiology, anatomical differences, pathophysiology, structural and functional features, in addition to their communications with other neurons, and can promote essential information to understand the brain and its activity. This review highlights various single-neuron models and their behaviors, followed by different analysis methods. Again, to elucidate cellular dynamics in terms of electrophysiology at the single-neuron level, we emphasize in detail the role of single-neuron mapping and electrophysiological recording. We also elaborate on the recent development of single-neuron isolation, manipulation, and therapeutic progress using advanced micro/nanofluidic devices, as well as microinjection, electroporation, microelectrode array, optical transfection, optogenetic techniques. Further, the development in the field of artificial intelligence in relation to single-neurons is highlighted. The review concludes with between limitations and future prospects of single-neuron analyses.

Indexed as

Artificial IntelligenceBrainHumansNeuronsTransfectionartificial intelligenceelectrophysiological recordingisolationmappingmicroelectrode arraymicro/nanofluidic devicessingle-neuron modelstherapytransfection

Identifiers

PMID32585883
PMCPMC7349798

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.