Evidence map›Paper›PMID 32892546›Full record

ArticleTurkish journal of medical sciences2021

Magnetic resonance imaging histogram analysis of corpus callosum in a functional neurological disorder

Sema Baykara, Murat Baykara, Osman Mermi, Hanefİ Yildirim, Murad Atmaca

Abstract read
In one paragraph

Article in Turkish journal of medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

5 authors.

Sema BaykaraDepartment of Psychiatry, Faculty of Medicine, Fırat University, Elazığ, TurkeyORCID 0000-0002-4683-0945
Murat BaykaraDepartment of Radiology, Faculty of Medicine, Fırat University, Elazığ, TurkeyORCID 0000-0003-2588-9013
Osman MermiDepartment of Psychiatry, Faculty of Medicine, Fırat University, Elazığ, TurkeyORCID 0000-0003-1616-3341
Hanefİ YildirimDepartment of Radiology, Faculty of Medicine, Fırat University, Elazığ, TurkeyORCID 0000-0002-6204-6392
Murad AtmacaDepartment of Psychiatry, Faculty of Medicine, Fırat University, Elazığ, TurkeyORCID 0000-0003-2772-4124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: The aim of the present study was to examine and compare the corpus callosum (CC) via histogram analysis (HA) on T1-weighted MR images of patients diagnosed with Functional Neurological Disorder (FND) and healthy controls. Materials and methods: The study group included 19 female patients diagnosed with FND, and the control group included 20 healthy subjects. All participants were scanned with a 1.5 T MR scanner. A high-resolution structural image of the entire brain was obtained with sagittal 3D spiral fast spin echo T1-weighted images. Gray level intensity, standard deviation of the histogram, entropy, uniformity, skewness, and kurtosis values were determined with texture analysis. A student’s t-test was used to compare the group data. P < 0.05 was accepted as statistically significant. Results: It was determined that the mean gray level intensity, standard deviation of the histogram, entropy calculated by the maximum, median and variance and size M percentage values were higher in patients with FND. Kurtosis and size U percentages values were lower in patients with FND. Conclusion: In the present study, analysis of CC with T1-weighted MR image HA demonstrated significant differences between FND patients and healthy controls. The study findings indicated that HA is a beneficial technique for demonstrating textural variations between the CCs of patients with FND and healthy controls using MR images.

Indexed as

Corpus CallosumNervous System DiseasesSomatoform DisordersAdultBrainFemaleHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingYoung AdultConversion disordercorpus callosumhistogrammagnetic resonance imagingsomatoform disorders

Identifiers

PMID32892546
PMCPMC7991863

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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.