Structural brain alterations of Down’s syndrome in early childhood evaluation by DTI and volumetric analyses
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To provide an initial assessment of white matter (WM) integrity with diffusion tensor imaging (DTI) and the accompanying volumetric changes in WM and grey matter (GM) through volumetric analyses of young children with Down’s syndrome (DS).
Ten children with DS and eight healthy control subjects were included in the study. Tract-based spatial statistics (TBSS) were used in the DTI study for whole-brain voxelwise analysis of fractional anisotropy (FA) and mean diffusivity (MD) of WM. Volumetric analyses were performed with an automated segmentation method to obtain regional measurements of cortical volumes.
Children with DS showed significantly reduced FA in association tracts of the fronto-temporo-occipital regions as well as the corpus callosum (CC) and anterior limb of the internal capsule (p < 0.05). Volumetric reductions included total cortical GM, cerebellar GM and WM volume, basal ganglia, thalamus, brainstem and CC in DS compared with controls (p < 0.05).
These preliminary results suggest that DTI and volumetric analyses may reflect the earliest complementary changes of the neurodevelopmental delay in children with DS and can serve as surrogate biomarkers of the specific elements of WM and GM integrity for cognitive development.
• DS is the most common genetic cause of intellectual disability.
• WM and GM structural alterations represent the neurological features of DS.
• DTI may identify the earliest aging process changes.
• DTI-volumetric analyses can serve as surrogate biomarkers of neurodevelopment in DS.
KeywordsDown’s syndrome Brain MRI DTI Volumetry
This paper was presented as an oral presentation at ECR 2016. The scientific guarantor of this publication is Hediye Pınar Gunbey. The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. The authors state that this work has not received any funding. Aslıhan Alhan kindly provided statistical advice for this manuscript. Institutional Review Board approval was obtained. Written informed consent was obtained from all subjects (patients) in this study. Methodology: prospective, cross-sectional study, performed at one institution.
- 5.Dodd B (1975) Recognition and reproduction of words by down’s syndrome and non-down’s syndrome retarded children. Am J Ment Defic 80:306–311Google Scholar
- 6.Fowler A, Gelman R, Gleitman LR (1994) The course of language learning in children with Down syndrome. In: Tager-Flusberg H (ed) Constraints on language acquisition studies of atypical children. NJ Lawrence Erlbaum Associates, HillsdaleGoogle Scholar
- 18.Lee NR, Adeyemi EI, Lin A et al (2015) Dissociations in cortical morphometry in youth with down syndrome: evidence for reduced surface area but increased thickness. Cereb Cortex 26:2982–2990Google Scholar
- 29.Karlsen AS, Pakkenberg B (2011) Total numbers of neurons and glial cells in cortex and basal ganglia of aged brains with down syndrome—a stereological study. Cereb Cortex 21:2519–2524Google Scholar
- 31.Teipel SJ et al (2003) Relation of corpus callosum and hippocampal size to age in nondemented adults with down’s syndrome. Am J Psychiatr 160:1870–1878Google Scholar
- 36.Shukla DK et al (2010) White matter compromise of callosal and subcortical fiber tracts in children with autism spectrum disorder: a diffusion tensor imaging study. Journal of the American Academy of Child & Adolescent Psychiatry 49:1269–1278, e2 Google Scholar
- 47.Chan KC et al (2011) In vivo manganese-enhanced MRI and diffusion tensor imaging of developing and impaired visual brains. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE. p. 7005-7008Google Scholar