Evidence map›Paper›PMID 39466009›Full record

ArticleJournal of magnetic resonance imaging : JMRI2025

Characterization of Brain Abnormalities in Lactational Neurodevelopmental Poly I:C Rat Model of Schizophrenia and Depression Using Machine-Learning and Quantitative MRI.

Rona Haker, Coral Helft, Emilya Natali Shamir, Moni Shahar, Hadas Solomon, Noam Omer, Tamar Blumenfeld-Katzir, Sharon Zlotzover, Yael Piontkewitz, Ina Weiner and 1 more

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

11 authors.

Rona HakerSagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
Coral HelftSagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
Emilya Natali ShamirSchool of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.
Moni ShaharThe AI and Data Science Center, Tel Aviv University, Tel Aviv, Israel.
Hadas SolomonSagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
Noam OmerDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel.
Tamar Blumenfeld-KatzirDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel.
Sharon ZlotzoverDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel.
Yael PiontkewitzSchool of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.
Ina WeinerSagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
Noam Ben-EliezerSagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0003-2944-6412

Funding

The Sagol School of Neuroscience Interdisciplinary Partnership Grant N/A
6 · The paper itself

Abstract

backgroundA recent neurodevelopmental rat model, utilizing lactational exposure to polyriboinosinic-polyribocytidilic acid (Poly I:C) leads to mimics of behavioral phenotypes resembling schizophrenia-like symptoms in male offspring and depression-like symptoms in female offspring. PURPOSE: To identify mechanisms of neuronal abnormalities in lactational Poly I:C offspring using quantitative MRI (qMRI) tools. STUDY TYPE: Prospective. ANIMAL MODEL: Twenty Poly I:C rats and 20 healthy control rats, age 130 postnatal day. FIELD STRENGTH/SEQUENCE: 7 T. Multiflip-angle FLASH protocol for T ASSESSMENT: Nursing dams were injected with the viral mimic Poly I:C or saline (control group). In adulthood, quantitative maps of T STATISTICAL TESTS: Random forest machine learning (ML) tool was employed to identify MRI markers of disease and classify Poly I:C rats from healthy controls based on quantitative features.

resultsPoly I:C rats were identified from controls with an accuracy of 82.5 ± 25.9% for females and 85.0 ± 24.0% for males. Poly I:C females exhibited differences mainly in diffusion-derived parameters in the thalamus and the medial prefrontal cortex (MPFC), while males displayed changes primarily in diffusion-derived parameters in the corpus callosum and MPFC. DATA

conclusionqMRI shows potential for identifying sex-specific brain abnormalities in the Poly I:C model of neurodevelopmental disorders. LEVEL OF EVIDENCE: NA TECHNICAL EFFICACY: Stage 2.

Indexed as

BrainDepressionMachine LearningMagnetic Resonance ImagingPoly I-CSchizophreniaAnimalsDiffusion Tensor ImagingDisease Models, AnimalFemaleLactationMaleRatsRats, Sprague-DawleyPoly I-Canimal modelsdepressionneurodevelopmentPoly I:Cquantitative MRIrandom forestschizophrenia

Identifiers

PMID39466009
PMCPMC11987781

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.