Evidence map›Paper›PMID 30891437›Full record

ReviewFrontiers in pediatrics2019

Modeling Human Brain Circuitry Using Pluripotent Stem Cell Platforms.

Annalisa M Hartlaub, Craig A McElroy, Nathalie L Maitre, Mark E Hester

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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  7. Advances in currentFrontiers in bioengineering and biotechnology · 2023
    Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Engineering Organoids forFrontiers in molecular neuroscience · 2021
    Review
  13. Article
  14. Review
  15. 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 at 2 institutions in 1 country.

Annalisa M HartlaubCenter for Perinatal Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, United States.
Craig A McElroyCollege of Pharmacy, The Ohio State University, Columbus, OH, United States.
Nathalie L MaitreCenter for Perinatal Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, United States.
Mark E HesterCenter for Perinatal Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, United States.
Nationwide Children's Hospital · USThe Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural circuits are the underlying functional units of the human brain that govern complex behavior and higher-order cognitive processes. Disruptions in neural circuit development have been implicated in the pathogenesis of multiple neurodevelopmental disorders such as autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), and schizophrenia. Until recently, major efforts utilizing neurological disease modeling platforms based on human induced pluripotent stem cells (hiPSCs), investigated disease phenotypes primarily at the single cell level. However, recent advances in brain organoid systems, microfluidic devices, and advanced optical and electrical interfaces, now allow more complex hiPSC-based systems to model neuronal connectivity and investigate the specific brain circuitry implicated in neurodevelopmental disorders. Here we review emerging research advances in studying brain circuitry using

Indexed as

brain organoidcerebral organoidhuman induced pluripotent stem cell (hiPSC)microfluidicneural circuitneurodevelopment

Identifiers

PMID30891437
PMCPMC6411708
OpenAlexW2919683108

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.