Morphometric mapping of the macrostructural abnormalities of midsagittal corpus callosum in Wilson's disease
- PMID: 35936213
- PMCID: PMC7613241
- DOI: 10.4103/AOMD.AOMD_41_20
Morphometric mapping of the macrostructural abnormalities of midsagittal corpus callosum in Wilson's disease
Abstract
Background and purpose: The corpus callosum (CC) consists of topographically arranged white matter (WM) fibers. Previous studies have indicated the CC to be discretely involved in WD. In this study, we strived to characterize the macrostructural properties of the CC using midsagittal cross-sectional area and thickness profile measurements.
Materials and methods: This study was performed using archived magnetic resonance imaging (MRI) scans of 14 patients with WD and 14 age- and gender-matched healthy controls. Using an automated software pipeline for morphometric profiling, the midsagittal CC was segmented into five sub-regions (CC1-5) according to the Hofer-Frahm scheme. The mean thickness and area of different CC segments and their clinical and cognitive correlates were identified.
Results: The mean area was significantly different only in CC2 segment (94.2 ± 25.5 vs. 118.6 ± 19.7 mm2, corrected P < 0.05). The mean thickness was significantly different in CC1 (5.06 ± 1.15 vs. 6.93 ± 0.89 mm, corrected P < 0.05), CC2 (3.73 ± 0.96 vs. 4.87 ± 1.01 mm, corrected P < 0.05), and CC3 segments (3.42 ± 0.84 vs. 3.94 ± 0.72 mm, corrected P < 0.05). The age at onset of neurological symptoms and MMSE score was significantly correlated with the morphometric changes of CC1 and CC2 segments.
Conclusion: Morphological changes of the CC are discrete in WD. Morphometric loss of CC was associated with an earlier onset of neurological symptoms and cognitive dysfunction in WD.
Keywords: Cognitive dysfunction; MMSE; Wilson disease; corpus callosum; magnetic resonance imaging; white matter.
Conflict of interest statement
Conflicts of interest There are no conflicts of interest.
Figures


Similar articles
-
Characteristics of neurological Wilson's disease with corpus callosum abnormalities.BMC Neurol. 2019 May 3;19(1):85. doi: 10.1186/s12883-019-1313-7. BMC Neurol. 2019. PMID: 31053106 Free PMC article.
-
Application of super-resolution track-density technique: Earlier detection of aging-related subtle alterations than morphological changes in corpus callosum from normal population?J Magn Reson Imaging. 2019 Jan;49(1):164-175. doi: 10.1002/jmri.26051. Epub 2018 Aug 30. J Magn Reson Imaging. 2019. PMID: 30160331
-
Corpus callosum abnormalities in Wilson's disease.J Neurol Neurosurg Psychiatry. 2011 Oct;82(10):1119-21. doi: 10.1136/jnnp.2009.204651. Epub 2010 Jul 26. J Neurol Neurosurg Psychiatry. 2011. PMID: 20660913
-
Midsagittal structural differences and sexual dimorphism of the corpus callosum in obsessive-compulsive disorder.Psychiatry Res. 2011 Jun 30;192(3):147-53. doi: 10.1016/j.pscychresns.2010.12.003. Epub 2011 May 2. Psychiatry Res. 2011. PMID: 21543190
-
A case of Wilson's disease combined with intracranial lipoma and dysplasia of the corpus callosum with review of the literature.BMC Neurol. 2024 Jan 25;24(1):44. doi: 10.1186/s12883-024-03541-2. BMC Neurol. 2024. PMID: 38273263 Free PMC article. Review.
Cited by
-
Altered interhemispheric connectivity in Huntington's Disease.Neuroimage Clin. 2024;44:103670. doi: 10.1016/j.nicl.2024.103670. Epub 2024 Sep 12. Neuroimage Clin. 2024. PMID: 39293356 Free PMC article.
-
Exploring interhemispheric connectivity using the directional tract density patterns of the corpus callosum.Neuroimage Rep. 2023 Jun;3(2):100174. doi: 10.1016/j.ynirp.2023.100174. Epub 2023 Jun 3. Neuroimage Rep. 2023. PMID: 37388455 Free PMC article.
References
-
- Huang H, Zhang J, Jiang H, Wakana S, Poetscher L, Miller MI, et al. DTI tractography based parcellation of white matter: Application to the mid-sagittal morphology of corpus callosum. Neuroimage. 2005;26:195–205. - PubMed
-
- Aboitiz F, Scheibel AB, Fisher RS, Zaidel E. Fiber composition of the human corpus callosum. Brain Res. 1992;598:143–53. - PubMed
-
- Lebel C, Caverhill-Godkewitsch S, Beaulieu C. Age-related regional variations of the corpus callosum identified by diffusion tensor tractography. Neuroimage. 2010;52:20–31. - PubMed
Grants and funding
LinkOut - more resources
Full Text Sources