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Sjogren-Larsson syndrome brain volumetric reductions demonstrated with an automated software.
- Source :
-
Arquivos de neuro-psiquiatria [Arq Neuropsiquiatr] 2023 Sep; Vol. 81 (9), pp. 809-815. Date of Electronic Publication: 2023 Oct 04. - Publication Year :
- 2023
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Abstract
- Background: Sjogren-Larsson syndrome (SLS) is a neurocutaneous disease with an autosomal recessive inheritance, caused by mutations in the gene that encodes fatty aldehyde dehydrogenase ( ALDH3A2 ), clinically characterized by ichthyosis, spastic diplegia, and cognitive impairment. Brain imaging plays an essential role in the diagnosis, demonstrating a nonspecific leukoencephalopathy. Data regarding brain atrophy and grey matter involvement is scarce and discordant.<br />Objective: We performed a volumetric analysis of the brain of two siblings with SLS with the aim of detecting deep grey matter nuclei, cerebellar grey matter, and brainstem volume reduction in these patients.<br />Methods: Volume data obtained from the brain magnetic resonance imaging (MRI) of the two patients using an automated segmentation software (Freesurfer) was compared with the volumes of a healthy control group.<br />Results: Statistically significant volume reduction was found in the cerebellum cortex, the brainstem, the thalamus, and the pallidum nuclei.<br />Conclusion: Volume reduction in grey matter leads to the hypothesis that SLS is not a pure leukoencephalopathy. Grey matter structures affected in the present study suggest a dysfunction more prominent in the thalamic motor pathways.<br />Competing Interests: The authors have no conflict of interest to declare.<br /> (Academia Brasileira de Neurologia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution 4.0 International License, permitting copying and reproduction so long as the original work is given appropriate credit (https://creativecommons.org/licenses/by/4.0/).)
Details
- Language :
- English
- ISSN :
- 1678-4227
- Volume :
- 81
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Arquivos de neuro-psiquiatria
- Publication Type :
- Academic Journal
- Accession number :
- 37793403
- Full Text :
- https://doi.org/10.1055/s-0043-1772601