Literature DB >> 30690146

Surface- and voxel-based brain morphologic study in Rett and Rett-like syndrome with MECP2 mutation.

Tadashi Shiohama1, Jacob Levman2, Emi Takahashi3.   

Abstract

Rett syndrome (RTT) is a rare congenital disorder which in most cases (95%) is caused by methyl-CpG binding protein 2 (MECP2) mutations. RTT is characterized by regression in global development, epilepsy, autistic features, acquired microcephaly, habitual hand clapping, loss of purposeful hand skills, and autonomic dysfunctions. Although the literature has demonstrated decreased volumes of the cerebrum, cerebellum, and the caudate nucleus in RTT patients, surface-based brain morphology including cortical thickness and cortical gyrification analyses are lacking in RTT. We present quantitative surface- and voxel-based morphological measurements in young children with RTT and Rett-like syndrome (RTT-l) with MECP2 mutations. The 8 structural T1-weighted MR images were obtained from 7 female patients with MECP2 mutations (3 classic RTT, 2 variant RTT, and 2 RTT-l) (mean age 5.2 [standard deviation 3.3] years old). Our analyses demonstrated decreased total volumes of the cerebellum in RTT/RTT-l compared to gender- and age-matched controls (t (22)=-2.93, p = .008, Cohen's d = 1.27). In contrast, global cerebral cortical surface areas, global/regional cortical thicknesses, the degree of global gyrification, and global/regional gray and white matter volumes were not statistically significantly different between the two groups. Our findings, as well as literature findings, suggest that early brain abnormalities associated with RTT/RTT-l (with MECP2 mutations) can be detected as regionally decreased cerebellar volumes. Decreased cerebellar volume may be helpful for understanding the etiology of RTT/RTT-l.
Copyright © 2019 ISDN. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cerebellum; MECP2; Rett syndrome; Structural brain MRI

Mesh:

Substances:

Year:  2019        PMID: 30690146      PMCID: PMC6377336          DOI: 10.1016/j.ijdevneu.2019.01.005

Source DB:  PubMed          Journal:  Int J Dev Neurosci        ISSN: 0736-5748            Impact factor:   2.457


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