Evidence map›Paper›PMID 38318427›Full record

ArticlePhotoacoustics2024

Photoacoustic viscoelasticity assessment of prefrontal cortex and cerebellum in normal and prenatal valproic acid-exposed rats.

Zahra Hosseindokht, Shima Davoudi, Mona Rahdar, Mahyar Janahmadi, Mohammadreza Kolahdouz, Pezhman Sasanpoour

Abstract read
In one paragraph

Article in Photoacoustics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Depth-dependent fluence compensation withoutJournal of biomedical optics · 2025
    Article
  2. Image-Based Monitoring of Thermal Ablation.Bioengineering (Basel, Switzerland) · 2025
    Review
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

6 authors.

Zahra HosseindokhtSchool of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Shima DavoudiDepartment of Physiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mona RahdarDepartment of Physiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mahyar JanahmadiDepartment of Physiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammadreza KolahdouzSchool of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Pezhman SasanpoourDepartment of Medical Physics and Biomedical Engineering, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical properties of brain tissues are from principal features from different points of view; diagnosis, the performance of the brain and neurological disorders. Particularly viscoelastic properties of the brain tissues are determinative. In this study based on a proposed accurate and non-invasive method, we have measured the viscoelastic properties of prefrontal cortex and cerebellum, two important brain regions involved in motor learning and pathophysiology of autism spectrum disorder (ASD). In this regard, using photoacoustic systems, viscoelastic properties of tissues from the cerebellum and prefrontal cortex of normal and prenatal VPA (Valproic acid)-exposed (i.e. autistic-like) offspring rats are measured. Results of our study show that the cerebellums of normal tissues are stiffer than the tissue obtained from autistic-like rats, while the viscoelasticity of the prefrontal cortex of normal tissues is higher than that of autistic ones. The proposed method for the measurement of viscoelastic properties of the brain tissue has the potential not only for the fundamental studies but as a diagnosis technique.

Indexed as

AutismBrain TissuePhotoacousticPhotoacoustic ViscoelasticityValproic acidViscoelasticity

Identifiers

PMID38318427
PMCPMC10839762

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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.