Evidence map›Paper›PMID 29027913›Full record

ReviewBrain sciences2017

Neural Hyperexcitability in Autism Spectrum Disorders.

Yukari Takarae, John Sweeney

Abstract readReview
In one paragraph

Review in Brain sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Cells · 2024
    Review
  18. Hyperexcitability in the Olfactory Bulb and Impaired Fine Odor Discrimination in theThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  19. Neural Processing of Speech Sounds in ASD and First-Degree Relatives.Journal of autism and developmental disorders · 2023
    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

2 authors.

Yukari TakaraeDepartment of Psychiatry, University of Texas Southwestern, Dallas, TX 75390, USA. Yukari.takarae@utsouthwestern.edu.
John SweeneyDepartment of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH 45220, USA. sweenej5@ucmail.uc.edu.

Funding

Neurophysiological and acute pharmacological studies in FXS patientsU54HD082008 · NICHD · UT SOUTHWESTERN MEDICAL CENTER · PI HUBER, KIMBERLY M. · 2014 to 2019
$9.8M
Electrophysiological Correlates of Cognitive Control in AutismK01MH087720 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TAKARAE, YUKARI · 2010 to 2014
$645k
NICHD NIH HHS U54 HD082008NIMH NIH HHS K01 MH087720
6 · The paper itself

Abstract

Despite the progress that has been made in research on autism spectrum disorders (ASD), the understanding of the biological basis of ASD to identify targets for novel, effective treatment remains limited. One of the leading biological theories of autism is a model of cortical hyperexcitability. While numerous genetic and epigenetic studies support this model, how this particular biological alteration relates to known phenotypes in ASD is not well established. Using examples of sensory processing alterations, this review illustrates how cortical excitability may affect neural processes to result eventually in some core clinical phenotypes in ASD. Applications of the cortical excitability model for translational research and drug development are also discussed.

Indexed as

autismindividual differencesinhibitionsensory abnormalitiessensory hypersensitivitysensory hyposensitivity

Identifiers

PMID29027913
PMCPMC5664056

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.