ArticleTurkish journal of medical sciences2021
Magnetic resonance imaging histogram analysis of corpus callosum in a functional neurological disorder
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.
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Who cites it
8 citing papers in PubMed.
- Exploratory SWI-based texture analysis of the substantia nigra on MRI in parkinson's disease.Medicine · 2026Article
- Corpus callosum texture analysis: a different perspective approach for diagnosing multiple sclerosis.Neuroradiology · 2025Article
- Biomarkers and Rehabilitation for Functional Neurological Disorder.Journal of personalized medicine · 2024Review
- Difference in Laterality of the Dorsal Striatum in Schizoaffective Disorder.Actas espanolas de psiquiatria · 2024Article
- Is the Caudate, Putamen, and Globus Pallidus the Delusional Disorder's Trio? A Texture Analysis Study.Actas espanolas de psiquiatria · 2024Article
- Evaluation of the corpus callosum using magnetic resonance imaging histogram analysis in autism spectrum disorder.The neuroradiology journal · 2022Article
- Texture analysis of dorsal striatum in functional neurological (conversion) disorder.Brain imaging and behavior · 2022Article
- Could computed tomography histogram analysis add value to the diagnosis of cholesteatoma?Turkish journal of medical sciences · 2022Article
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5 authors.
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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.
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