Evidence map›Paper›PMID 34107793›Full record

ArticleAutism : the international journal of research and practice2021

Neuronal and glial cell number is altered in a cortical layer-specific manner in autism.

Carmen Falcone, Natalie-Ya Mevises, Tiffany Hong, Brett Dufour, Xiaohui Chen, Stephen C Noctor, Verónica Martínez Cerdeño

Abstract read
In one paragraph

Article in Autism : the international journal of research and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  11. Multi-omic analysis of the ciliogenic transcription factorbioRxiv : the preprint server for biology · 2025
    Article
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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

7 authors.

Carmen FalconeUC Davis School of Medicine, USA.
Natalie-Ya MevisesUC Davis School of Medicine, USA.ORCID 0000-0002-1678-3295
Tiffany HongUC Davis School of Medicine, USA.ORCID 0000-0002-4396-7524
Brett DufourUC Davis School of Medicine, USA.
Xiaohui ChenUC Davis School of Medicine, USA.
Stephen C NoctorUC Davis School of Medicine, USA.
Verónica Martínez CerdeñoUC Davis School of Medicine, USA.ORCID 0000-0002-9613-3603

Funding

Cortical and subcortical chandelier cell pathophysiology and symptomatology in autismR01MH094681 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Veronica Martinez-Cerdeno · 2011 to 2026
$6.5M
Fragile X-associated tremor/ataxia syndrome (FXTAS) pathology and anatomy: imaging and clinical correlatesR01NS107131 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MARTINEZ-CERDENO, VERONICA · 2018 to 2022
$2.6M
NIMH NIH HHS R01 MH094681NINDS NIH HHS R01 NS107131
6 · The paper itself

Abstract

lay abstractThe cerebral cortex affected with autism spectrum disorder presents changes in the number of neurons and glia cells, possibly leading to a dysregulation of brain circuits and affecting behavior. However, little is known about cell number alteration in specific layers of the cortex in autism spectrum disorder. We found an increase in the number of neurons and a decrease in the number of astrocytes in specific layers of the prefrontal cortex in postmortem human brains from autism spectrum disorder cases. We hypothesize that this may be due to a failure in neural stem cells to shift differentiation from neurons to glial cells during prenatal brain development. These data provide key anatomical findings that contribute to the bases of autism spectrum disorder pathogenesis.

Indexed as

Autism Spectrum DisorderAutistic DisorderCell CountCerebral CortexHumansNeurogliaNeuronsanatomyautismcerebral cortexpostmortem

Identifiers

PMID34107793
PMCPMC9762515

What OpenQuestion holds

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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.