Correlation Between DTI Findings and Volume of Corpus Callosum in Children with AUTISM

Author(s): Hafize Otcu Temur*, Ismail Yurtsever, Gozde Yesil, Rasul Sharifov, Fatih Temel Yilmaz, Tolga Turan Dundar, Alpay Alkan.

Journal Name: Current Medical Imaging
Formerly: Current Medical Imaging Reviews

Volume 15 , Issue 9 , 2019

Become EABM
Become Reviewer

Graphical Abstract:


Abstract:

Background: Autism Spectrum Disorder (ASD) is a complex developmental disorder in which neurological basis is largely unknown. The Corpus Callosum (CC) is the main commissure that connects the cerebral hemispheres. Previous evidence suggests the involvement of the CC in the pathophysiology of autism.

Aim: The aim of our study is to assess whether there were any changes in Corpus Callosum (CC) area and volume and to reveal the relationship between Diffusion Tensor Imaging (DTI) features in genu and splenium of corpus callosum in children with ASD.

Methods: Eighteen patient and 15 controls were recruited. The volumetric sagittal TI images were used to provide measurements of midsagittal corpus callosum surface area while FA, MD, RD, and ADC values were extracted from genu and splenium of corpus callosum after which the correlation in the area and volume in ASD children was examined.

Results: CC area and volume in children with ASD were decreased than controls. FA values obtained from the genu and splenum of CC were significantly lower and RD values were significantly higher. A positive correlation was observed between the FA of the genu and splenium and area and volume of the CC. There was a negative correlation between ADC, MD and RD of CC and area and volume measurements.

Conclusion: The conclusions in the interrelations of morphometric and DTI data may demonstrate a likelihood of damages in the axons and cortical neurons. The results showed that there existed microstructural damages from the DTI findings. Furthermore, the decrease in FA could be a representation of the reduction in the myelination in nerve pathways, impaired integrity, reduced axonal density, and organization. Indeed, the changes in volumetric and microstructural of CC could be useful in evaluating underlying pathophysiology in children with autism.

Keywords: Autism, ASD, DTI, corpus callosum, hemisphere, axons.

[1]
American Psychiatric Association. Diagnostic and statistical manual of mental disorders 4. Washington, DC: American Psychiatric Association 2000.
[2]
Levy SE, Mandell DS, Schultz RT. Autism. Lancet 2009; 374(9701): 1627-38.
[http://dx.doi.org/10.1016/S0140-6736(09)61376-3] [PMID: 19819542]
[3]
Williams E, Thomas K, Sidebotham H, Emond A. Prevalence and characteristics of autistic spectrum disorders in the ALSPAC cohort. Dev Med Child Neurol 2008; 50(9): 672-7.
[http://dx.doi.org/10.1111/j.1469-8749.2008.03042.x] [PMID: 18754916]
[4]
Williams JG, Allison C, Scott FJ, et al. The childhood autism spectrum test (CAST): sex differences. J Autism Dev Disord 2008; 38(9): 1731-9.
[http://dx.doi.org/10.1007/s10803-008-0558-6] [PMID: 18408991]
[5]
Anagnostou E, Taylor MJ. Review of neuroimaging in autism spectrum disorders: What have we learned and where we go from here. Mol Autism 2011; 2(1): 4.
[http://dx.doi.org/10.1186/2040-2392-2-4] [PMID: 21501488]
[6]
Alexander AL, Lee JE, Lazar M, et al. Diffusion tensor imaging of the corpus callosum in autism. Neuroimage 2007; 34(1): 61-73.
[7]
Itahashi T, Yamada T, Nakamura M, et al. Linked alterations in gray and white matter morphology in adults with high-functioning autism spectrum disorder: A multimodal brain imaging study. Neuroimage Clin 2014; 7: 155-69.
[http://dx.doi.org/10.1016/j.nicl.2014.11.019] [PMID: 25610777]
[8]
Ogur T, Boyunaga OL. Relation of behavior problems with findings of cranial diffusion tensor MRI and MR spectroscopy in autistic children. Int J Clin Exp Med 2015; 8(4): 5621-30.
[PMID: 26131145]
[9]
Just MA, Cherkassky VL, Keller TA, Kana RK, Minshew NJ. Functional and anatomical cortical underconnectivity in autism: Evidence from an FMRI study of an executive function task and corpus callosum morphometry. Cerebral Cortex (New York, NY: 1991) 2007; 17(4): 951-61.
[10]
Witelson SF. Hand and sex differences in the isthmus and genu of the human corpus callosum. A postmortem morphological study. Brain 1989; 112(Pt 3): 799-835.
[http://dx.doi.org/10.1093/brain/112.3.799] [PMID: 2731030]
[11]
Paul LK, Brown WS, Adolphs R, et al. Agenesis of the corpus callosum: Genetic, developmental and functional aspects of connectivity. Nat Rev Neurosci 2007; 8(4): 287-99.
[http://dx.doi.org/10.1038/nrn2107] [PMID: 17375041]
[12]
Goldstein A, Mesfin FB. Neuroanatomy, Corpus Callosum [Updated 2017 Oct 6]. Available from: https://www.ncbi.nlm.nih.gov/books/NBK448209/
[13]
Maximo JO, Cadena EJ, Kana RK. The implications of brain connectivity in the neuropsychology of autism. Neuropsychol Rev 2014; 24(1): 16-31.
[http://dx.doi.org/10.1007/s11065-014-9250-0] [PMID: 24496901]
[14]
Bellani M, Fornasari L, Chittaro L, Brambilla P. Virtual reality in autism: State of the art. Epidemiol Psychiatr Sci 2011; 20(3): 235-8.
[http://dx.doi.org/10.1017/S2045796011000448] [PMID: 21922965]
[15]
Jou RJ, Mateljevic N, Kaiser MD, Sugrue DR, Volkmar FR, Pelphrey KA. Structural neural phenotype of autism: preliminary evidence from a diffusion tensor imaging study using tract-based spatial statistics. AJNR Am J Neuroradiol 2011; 32(9): 1607-13.
[http://dx.doi.org/10.3174/ajnr.A2558] [PMID: 21799040]
[16]
Doherty D, Tu S, Schilmoeller K, Schilmoeller G. Health-related issues in individuals with agenesis of the corpus callosum. Child Care Health Dev 2006; 32(3): 333-42.
[http://dx.doi.org/10.1111/j.1365-2214.2006.00602.x] [PMID: 16634978]
[17]
Brown LN, Sainsbury RS. Hemispheric equivalence and age-related differences in judgments of simultaneity to somatosensory stimuli. J Clin Exp Neuropsychol 2000; 22(5): 587-98.
[http://dx.doi.org/10.1076/1380-3395(200010)22:5;1-9;FT587] [PMID: 11094394]
[18]
David AS, Wacharasindhu A, Lishman WA. Severe psychiatric disturbance and abnormalities of the corpus callosum: review and case series. J Neurol Neurosurg Psychiatry 1993; 56(1): 85-93.
[http://dx.doi.org/10.1136/jnnp.56.1.85] [PMID: 8429328]
[19]
Travers BG, Adluru N, Ennis C, et al. Diffusion tensor imaging in autism spectrum disorder: A review. Autism Res 2012; 5(5): 289-313.
[http://dx.doi.org/10.1002/aur.1243] [PMID: 22786754]
[20]
Hardan AY, Minshew NJ, Keshavan MS. Corpus callosum size in autism. Neurology 2000; 55(7): 1033-6.
[http://dx.doi.org/10.1212/WNL.55.7.1033] [PMID: 11061265]
[21]
Prigge MBD, Lange N, Bigler ED, et al. Corpus callosum area in children and adults with autism. Res Autism Spectr Disord 2013; 7(2): 221-34.
[http://dx.doi.org/10.1016/j.rasd.2012.09.007] [PMID: 23130086]
[22]
Keary CJ, Minshew NJ, Bansal R, et al. Corpus callosum volume and neurocognition in autism. J Autism Dev Disord 2009; 39(6): 834-41.
[http://dx.doi.org/10.1007/s10803-009-0689-4] [PMID: 19165587]
[23]
Vidal CN, Nicolson R, DeVito TJ, et al. Mapping corpus callosum deficits in autism: an index of aberrant cortical connectivity. Biol Psychiatry 2006; 60(3): 218-25.
[http://dx.doi.org/10.1016/j.biopsych.2005.11.011] [PMID: 16460701]
[24]
Lefebvre A, Beggiato A, Bourgeron T, Toro R. Neuroanatomical diversity of corpus callosum and brain volume in autism: meta-analysis, analysis of the autism brain imaging data exchange project, and simulation. Biol Psychiatry 2015; 78(2): 126-34.
[http://dx.doi.org/10.1016/j.biopsych.2015.02.010] [PMID: 25850620]
[25]
Boger-Megiddo I, Shaw DWW, Friedman SD, et al. Corpus callosum morphometrics in young children with autism spectrum disorder. J Autism Dev Disord 2006; 36(6): 733-9.
[http://dx.doi.org/10.1007/s10803-006-0121-2] [PMID: 16625438]
[26]
Frazier TW, Keshavan MS, Minshew NJ, Hardan AY. A two-year longitudinal MRI study of the corpus callosum in autism. J Autism Dev Disord 2012; 42(11): 2312-22.
[http://dx.doi.org/10.1007/s10803-012-1478-z] [PMID: 22350341]
[27]
Alexander AL, Hasan K, Kindlmann G, Parker DL, Tsuruda JS. A geometric analysis of diffusion tensor measurements of the human brain. ISMRM 2000; 44(2): 283-91.
[http://dx.doi.org/10.1002/1522-2594(200008)44:2<283:AID-MRM16>3.0.CO;2-V]
[28]
Harsan LA, Poulet P, Guignard B, et al. Brain dysmyelination and recovery assessment by noninvasive in vivo diffusion tensor magnetic resonance imaging. J Neurosci Res 2006; 83(3): 392-402.
[http://dx.doi.org/10.1002/jnr.20742] [PMID: 16397901]
[29]
Song SK, Yoshino J, Le TQ, et al. Demyelination increases radial diffusivity in corpus callosum of mouse brain. Neuroimage 2005; 26(1): 132-40.
[http://dx.doi.org/10.1016/j.neuroimage.2005.01.028] [PMID: 15862213]
[30]
Wang L, Goldstein FC, Veledar E, et al. Alterations in cortical thickness and white matter integrity in mild cognitive impairment measured by whole-brain cortical thickness mapping and diffusion tensor imaging. AJNR Am J Neuroradiol 2009; 30(5): 893-9.
[http://dx.doi.org/10.3174/ajnr.A1484] [PMID: 19279272]
[31]
Aydin S, Kurtcan S, Alkan A, et al. Relationship between the corpus callosum and neurocognitive disabilities in children with NF-1: Diffusion tensor imaging features. Clin Imaging 2016; 40(6): 1092-5.
[http://dx.doi.org/10.1016/j.clinimag.2016.06.013] [PMID: 27423006]
[32]
Cheng Y, Chou KH, Chen IY, Fan YT, Decety J, Lin CP. Atypical development of white matter microstructure in adolescents with autism spectrum disorders. Neuroimage 2010; 50(3): 873-82.
[http://dx.doi.org/10.1016/j.neuroimage.2010.01.011] [PMID: 20074650]
[33]
Cheung C, Chua SE, Cheung V, et al. White matter fractional anisotrophy differences and correlates of diagnostic symptoms in autism. J Child Psychol Psychiatry 2009; 50(9): 1102-12.
[http://dx.doi.org/10.1111/j.1469-7610.2009.02086.x] [PMID: 19490309]
[34]
Hong S, Ke X, Tang T, et al. Detecting abnormalities of corpus callosum connectivity in autism using magnetic resonance imaging and diffusion tensor tractography. Psychiatry Res 2011; 194(3): 333-9.
[http://dx.doi.org/10.1016/j.pscychresns.2011.03.009] [PMID: 22047729]
[35]
Thomas C, Humphreys K, Jung KJ, Minshew N, Behrmann M. The anatomy of the callosal and visual-association pathways in high-functioning autism: a DTI tractography study. Cortex 2011; 47(7): 863-73.
[http://dx.doi.org/10.1016/j.cortex.2010.07.006] [PMID: 20832784]
[36]
Weinstein M, Ben-Sira L, Levy Y, et al. Abnormal white matter integrity in young children with autism. Hum Brain Mapp 2011; 32(4): 534-43.
[http://dx.doi.org/10.1002/hbm.21042] [PMID: 21391246]
[37]
Ben Bashat D, Kronfeld-Duenias V, Zachor DA, et al. Accelerated maturation of white matter in young children with autism: A high b value DWI study. Neuroimage 2007; 37(1): 40-7.
[http://dx.doi.org/10.1016/j.neuroimage.2007.04.060] [PMID: 17566764]
[38]
Kumar M, Duda JT, Hwang WT, et al. High resolution magnetic resonance imaging for characterization of the neuroligin-3 knock-in mouse model associated with autism spectrum disorder. PLoS One 2014; 9(10)e109872
[http://dx.doi.org/10.1371/journal.pone.0109872] [PMID: 25299583]
[39]
Jeong JW, Kumar AK, Sundaram SK, Chugani HT, Chugani DC. Sharp curvature of frontal lobe white matter pathways in children with autism spectrum disorders: tract-based morphometry analysis. AJNR Am J Neuroradiol 2011; 32(9): 1600-6.
[http://dx.doi.org/10.3174/ajnr.A2557] [PMID: 21757519]


Rights & PermissionsPrintExport Cite as

Article Details

VOLUME: 15
ISSUE: 9
Year: 2019
Page: [895 - 899]
Pages: 5
DOI: 10.2174/1573405614666181005114315
Price: $58

Article Metrics

PDF: 15
HTML: 1