Evidence map›Paper›PMID 41674830›Full record

ArticleResearch square2026

Graph Theory Identifies Autistic Patterns in the Prefrontal Circuit of a Mouse Model of Autism.

Rongsong Liu, Yan Zhang, Mallory Lai, Viyaleta Davydzenka, Casey Moffitt, Nathaniel England, Giovanni Barbera, Rong Chen, Da-Ting Lin, Yun Li

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Rongsong LiuDepartment of Mathematics and Statistics, University of Wyoming, 1000 E. University Ave, Laramie, WY 82071, USA.
Yan ZhangIntramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA.
Mallory LaiDepartment of Mathematics and Statistics, University of Wyoming, 1000 E. University Ave, Laramie, WY 82071, USA.
Viyaleta DavydzenkaDepartment of Zoology and Physiology, University of Wyoming, 1000 E. University Ave, Laramie, WY 82071, USA.
Casey MoffittIntramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA.
Nathaniel EnglandDepartment of Zoology and Physiology, University of Wyoming, 1000 E. University Ave, Laramie, WY 82071, USA.
Giovanni BarberaIntramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA.ORCID 0000-0001-6406-6592
Rong ChenDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 100 N. Greene St., Baltimore, MD 21201, USA.
Da-Ting LinIntramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA.ORCID 0000-0003-0538-7892
Yun LiDepartment of Zoology and Physiology, University of Wyoming, 1000 E. University Ave, Laramie, WY 82071, USA.ORCID 0000-0002-5251-747X

Funding

Zebrafish Models of CNS Injury and Locomotor RecoveryP20GM121310 · NIGMS · UNIVERSITY OF WYOMING · PI Qian-Quan Sun · 2017 to 2026
$27.2M
Loss of TDP-43 disrupts the prefrontal neural activity and circuitry: relevance for TDP-43 linked ADRDRF1NS129878 · NINDS · UNIVERSITY OF WYOMING · PI LI, YUN, WONG, PHILIP C · 2022 to 2022
$2.3M
Integrating Experimental and Computational Models to Study the Prefrontal Microcircuit Changes During Aging and Alzheimer's DiseaseR21AG087909 · NIA · UNIVERSITY OF WYOMING · PI CHEN, RONG, LI, YUN · 2024 to 2025
$386k
NIA NIH HHS R21 AG087909NIGMS NIH HHS P20 GM121310NINDS NIH HHS RF1 NS129878
6 · The paper itself

Abstract

As a well-developed branch of mathematics, graph theory provides unique tools to quantifiably assess various properties of complex networks. Applied to brain circuits, network-level analyses can illustrate disruptions to brain organization that yield both mechanistic and diagnostic insights. Previously, graph theory has been used with functional magnetic resonance imaging datasets to quantify connections among different brain regions, readily capturing the macroscopic-scaled differences in brain networks between healthy and Alzheimer's subjects. Here, we applied graph theory on the microscopic scale, using miniscope-based calcium imaging from the freely behaving wild type (WT) and

Identifiers

PMID41674830
PMCPMC12889843

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.