Literature DB >> 32892546

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

Sema Baykara1, Murat Baykara2, Osman Mermi1, Hanefİ Yildirim2, Murad Atmaca1.   

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. This work is licensed under a Creative Commons Attribution 4.0 International License.

Entities:  

Keywords:  Conversion disorder; corpus callosum; histogram; magnetic resonance imaging; somatoform disorders

Year:  2021        PMID: 32892546      PMCID: PMC7991863          DOI: 10.3906/sag-2004-252

Source DB:  PubMed          Journal:  Turk J Med Sci        ISSN: 1300-0144            Impact factor:   0.973


  37 in total

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