Evidence map›Paper›PMID 38334667›Full record

ArticleCells2024

Deep-Learning-Based Analysis Reveals a Social Behavior Deficit in Mice Exposed Prenatally to Nicotine.

Mengyun Zhou, Wen Qiu, Nobuhiko Ohashi, Lihao Sun, Marie-Louis Wronski, Emi Kouyama-Suzuki, Yoshinori Shirai, Toru Yanagawa, Takuma Mori, Katsuhiko Tabuchi

Open access · goldAbstract read
In one paragraph

Article in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Social attachment shapes interbrain synchrony.bioRxiv : the preprint server for biology · 2026
    Article
  4. Imaging [bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Review
  7. 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

10 authors at 3 institutions in 3 countries.

Mengyun ZhouDepartment of Molecular and Cellular Physiology, Shinshu University School of Medicine, Matsumoto 390-8621, Japan.ORCID 0000-0001-8095-7133
Wen QiuDepartment of Molecular and Cellular Physiology, Shinshu University School of Medicine, Matsumoto 390-8621, Japan.
Nobuhiko OhashiDepartment of Molecular and Cellular Physiology, Shinshu University School of Medicine, Matsumoto 390-8621, Japan.
Lihao SunDepartment of Molecular and Cellular Physiology, Shinshu University School of Medicine, Matsumoto 390-8621, Japan.
Marie-Louis WronskiDepartment of Molecular and Cellular Physiology, Shinshu University School of Medicine, Matsumoto 390-8621, Japan.ORCID 0000-0002-3907-6630
Emi Kouyama-SuzukiDepartment of Molecular and Cellular Physiology, Shinshu University School of Medicine, Matsumoto 390-8621, Japan.
Yoshinori ShiraiDepartment of Molecular and Cellular Physiology, Shinshu University School of Medicine, Matsumoto 390-8621, Japan.ORCID 0000-0002-3263-4986
Toru YanagawaDepartment of Oral and Maxillofacial Surgery, Faculty of Medicine, University of Tsukuba, Tsukuba 305-8575, Japan.ORCID 0000-0003-0868-2563
Takuma MoriDepartment of Molecular and Cellular Physiology, Shinshu University School of Medicine, Matsumoto 390-8621, Japan.ORCID 0000-0002-4195-2804
Katsuhiko TabuchiDepartment of Molecular and Cellular Physiology, Shinshu University School of Medicine, Matsumoto 390-8621, Japan.ORCID 0000-0002-1673-4637
Shinshu University · JPHarvard University · USUniversity of Tsukuba · JP

Funding

Hokuto Foundation Takuma MoriJapan Epilepsy Research Foundation Takuma MoriJapan Science and Technology Agency JPMJSP2144Japan Society for the Promotion of Science 21H05685Japan Society for the Promotion of Science 21K07293Japan Society for the Promotion of Science 23H02575Japan Society for the Promotion of Science 23H04227Mochida Pharmaceutical (Japan) Takuma MoriNaito Foundation Takuma MoriTakeda Science Foundation Katsuhiko TabuchiTakeda Science Foundation Takuma Mori
6 · The paper itself

Abstract

Cigarette smoking during pregnancy is known to be associated with the incidence of attention-deficit/hyperactive disorder (ADHD). Recent developments in deep learning algorithms enable us to assess the behavioral phenotypes of animal models without cognitive bias during manual analysis. In this study, we established prenatal nicotine exposure (PNE) mice and evaluated their behavioral phenotypes using DeepLabCut and SimBA. We optimized the training parameters of DeepLabCut for pose estimation and succeeded in labeling a single-mouse or two-mouse model with high fidelity during free-moving behavior. We applied the trained network to analyze the behavior of the mice and found that PNE mice exhibited impulsivity and a lessened working memory, which are characteristics of ADHD. PNE mice also showed elevated anxiety and deficits in social interaction, reminiscent of autism spectrum disorder (ASD). We further examined PNE mice by evaluating adult neurogenesis in the hippocampus, which is a pathological hallmark of ASD, and demonstrated that newborn neurons were decreased, specifically in the ventral part of the hippocampus, which is reported to be related to emotional and social behaviors. These results support the hypothesis that PNE is a risk factor for comorbidity with ADHD and ASD in mice.

Indexed as

Attention Deficit Disorder with HyperactivityAutism Spectrum DisorderDeep LearningAnimalsFemaleMiceNicotinePregnancySocial BehaviorNicotineADHDASDDeepLabCutdeep learningprenatal nicotine exposureSimBA

Identifiers

PMID38334667
PMCPMC10855062
OpenAlexW4391430495

What Socratic 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 Socratic graph.