본문 바로가기
KERD
논문KCI 등재

White Matter Tract-Cognitive Relationships in Children with High-Functioning Autism Spectrum Disorder

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류정신과학

초록

Objective The purpose of the present study was to clarify the relationship between white matter tracts and cognitive symptoms in children with high-functioning autism spectrum disorder (ASD). Methods We examined the cognitive functions of 17 children with high-functioning ASD and 18 typically developing (TD) controls and performed diffusion tensor imaging (DTI) tractography. We compared the results between the groups and investigated the correlations between the cognitive scores and DTI parameters within each group. Results The Comprehension scores in the ASD group exhibited a positive correlation with mean diffusivity (MD) in the forceps minor (F minor). In the TD group, the Comprehension scores were positively correlated with fractional anisotropy (FA) in the right inferior fronto-occipital fasciculus (IFO) and left anterior thalamic radiation (ATR), and negatively correlated with MD in the left ATR, radial diffusivity (RD) in the right IFO, and RD in the left ATR. Additionally, a positive correlation was observed between the Matching Numbers scores and MD in the left uncinate fasciculus and F minor, and RD in the F minor. Furthermore, the Sentence Questions scores exhibited a positive correlation with RD in the right inferior longitudinal fasciculus. Relative to TD controls, the specific tract showing a strong correlation with the cognitive scores was reduced in the ASD group. Conclusion Our findings indicate that white matter tracts connecting specific brain areas may exhibit a weaker relationship with cognitive functions in children with ASD, resulting in less efficient cognitive pathways than those observed in TD children.

Abstract

Objective The purpose of the present study was to clarify the relationship between white matter tracts and cognitive symptoms in children with high-functioning autism spectrum disorder (ASD). Methods We examined the cognitive functions of 17 children with high-functioning ASD and 18 typically developing (TD) controls and performed diffusion tensor imaging (DTI) tractography. We compared the results between the groups and investigated the correlations between the cognitive scores and DTI parameters within each group. Results The Comprehension scores in the ASD group exhibited a positive correlation with mean diffusivity (MD) in the forceps minor (F minor). In the TD group, the Comprehension scores were positively correlated with fractional anisotropy (FA) in the right inferior fronto-occipital fasciculus (IFO) and left anterior thalamic radiation (ATR), and negatively correlated with MD in the left ATR, radial diffusivity (RD) in the right IFO, and RD in the left ATR. Additionally, a positive correlation was observed between the Matching Numbers scores and MD in the left uncinate fasciculus and F minor, and RD in the F minor. Furthermore, the Sentence Questions scores exhibited a positive correlation with RD in the right inferior longitudinal fasciculus. Relative to TD controls, the specific tract showing a strong correlation with the cognitive scores was reduced in the ASD group. Conclusion Our findings indicate that white matter tracts connecting specific brain areas may exhibit a weaker relationship with cognitive functions in children with ASD, resulting in less efficient cognitive pathways than those observed in TD children.

참고문헌 (75)

  1. American Psychiatric Association, "Diagnostic and Statistical Manual of Mental Disorders, DSM-5" (2013), American Psychiatric Association
  2. Lai MC, "Autism", Lancet, 383, pp.896~910 (2014)
  3. Durrleman S, "Complex syntax in autism spectrum disorders : a study of relative clauses", Int J Lang Commun Disord, 50, pp.260~267 (2015)
  4. Ozonoff S, "Executive function deficits in high-functioning autistic individuals : relationship to theory of mind", J Child Psychol Psychiatry, 32, pp.1081~1105 (1991)
  5. Hill EL, "Executive dysfunction in autism", Trends Cogn Sci, 8, pp.26~32 (2004)
  6. Sinzig J, "Inhibition, flexibility, working memory and planning in autism spectrum disorders with and without comorbid ADHD-symptoms", Child Adolesc Psychiatry Ment Health, 2, pp.4~ (2008)
  7. Steele SD, "Spatial working memory deficits in autism", J Autism Dev Disord, 37, pp.605~612 (2007)
  8. Mottron L, "Matching strategies in cognitive research with individuals with high-functioning autism : current practices, instrument biases, and recommendations", J Autism Dev Disord, 34, pp.19~27 (2004)
  9. Mayes SD, "WISC-IV and WIAT-II profiles in children with high-functioning autism", J Autism Dev Disord, 38, pp.428~439 (2008)
  10. Oliveras-Rentas RE, "WISC-IV profile in high-functioning autism spectrum disorders : impaired processing speed is associated with increased autism communication symptoms and decreased adaptive communication abilities", J Autism Dev Disord, 42, pp.655~664 (2012)
  11. Nader AM, "Discrepancy between WISC-III and WISC-IV cognitive profile in autism spectrum: what does it reveal about autistic cognition?", PLoS ONE, 10, pp.e0144645~ (2015)
  12. Das JP, "Assessment of Cognitive Processes: the PASS Theory of Intelligence" (1994), Allyn and Bacon
  13. Naglieri JA, "Cognitive Assessment System" (1997), Riverside Publishing
  14. Naglieri JA, "Essentials of CAS Assessment" (1999), John Wiley and Sons
  15. McCrea SM, "A cognitive neuropsychological examination of the Das-Naglieri Cognitive Assessment System subtests : a report of three stroke cases studied longitudinally during recovery", Int J Neurosci, 119, pp.553~599 (2009)
  16. Taddei S, "Brief Report: Cognitive performance in autism and Asperger’s syndrome: what are the differences?", J Autism Dev Disord, 43, pp.2977~2983 (2013)
  17. Le Bihan D, "Looking into the functional architecture of the brain with diffusion MRI", Nat Rev Neurosci, 4, pp.469~480 (2003)
  18. Mori S, "Principles of diffusion tensor imaging and its applications to basic neuroscience research", Neuron, 51, pp.527~539 (2006)
  19. Le Bihan D, "Diffusion MRI at 25 : exploring brain tissue structure and function", Neuroimage, 61, pp.324~341 (2012)
  20. Beaulieu C, "The basis of anisotropic water diffusion in the nervous system – a technical review", NMR Biomed, 15, pp.435~455 (2002)
  21. Feldman HM, "Diffusion tensor imaging : a review for pediatric researchers and clinicians", J Dev Behav Pediatr, 31, pp.346~356 (2010)
  22. Alexander AL, "Characterization of cerebral white matter properties using quantitative magnetic resonance imaging stains", Brain Connect, 1, pp.423~446 (2011)
  23. Tournier JD, "Diffusion tensor imaging and beyond", Magn Reson Med, 65, pp.1532~1556 (2011)
  24. Basser PJ, "Estimation of the effective self-diffusion tensor from the NMR spin echo", J Magn Reson B, 103, pp.247~254 (1994)
  25. Pierpaoli C, "Diffusion tensor MR imaging of the human brain", Radiology, 201, pp.637~648 (1996)
  26. Sbardella E, "DTI measurements in multiple sclerosis : evaluation of brain damage and clinical implications", Mult Scler Int, 2013, pp.671730~ (2013)
  27. Song SK, "Dysmyelination revealed through MRI as increased radial(but unchanged axial)diffusion of water", Neuroimage, 17, pp.1429~1436 (2002)
  28. Wu YC, "High b-value and diffusion tensor imaging in a canine model of dysmyelination and brain maturation", Neuroimage, 58, pp.829~837 (2011)
  29. Huang H, "Analysis of noise effects on DTIbased tractography using the brute-force and multi-ROI approach", Magn Reson Med, 52, pp.559~565 (2004)
  30. Froeling M, "Diffusion Tensor Imaging: A Practical Handbook", pp.175~182 (2016), Springer New York
  31. Smith SM, "Tract-based spatial statistics : voxelwise analysis of multi-subject diffusion data", Neuroimage, 31, pp.1487~1505 (2006)
  32. Cheon KA, "Involvement of the anterior thalamic radiation in boys with high functioning autism spectrum disorders : a diffusion tensor imaging study", Brain Res, 1417, pp.77~86 (2011)
  33. Shukla DK, "Tract-specific analyses of diffusion tensor imaging show widespread white matter compromise in autism spectrum disorder", J Child Psychol Psychiatry, 52, pp.286~295 (2011)
  34. Bakhtiari R, "Differences in white matter reflect atypical developmental trajectory in autism : a tract-based spatial statistics study", Neuroimage Clin, 1, pp.48~56 (2012)
  35. Chang YS, "Autism and sensory processing disorders : shared white matter disruption in sensory pathways but divergent connectivity in social-emotional pathways", PLoS ONE, 9, pp.e103038~ (2014)
  36. Roine U, "Constrained spherical deconvolution-based tractography and tract-based spatial statistics show abnormal microstructural organization in Asperger syndrome", Mol Autism, 6, pp.4~ (2015)
  37. Catani M, "Frontal networks in adults with autism spectrum disorder", Brain, 139, pp.616~630 (2016)
  38. Bendlin BB, "White matter in aging and cognition : a cross-sectional study of microstructure in adults aged eighteen to eighty-three", Dev Neuropsychol, 35, pp.257~277 (2010)
  39. Madhavan KM, "Superior longitudinal fasciculus and language functioning in healthy aging", Brain Res, 1562, pp.11~22 (2014)
  40. Wong FCK, "White matter anisotropy in the ventral language pathway predicts sound-to-word learning success", J Neurosci, 31, pp.8780~8785 (2011)
  41. de Zubicaray GI, "The structure and connectivity of semantic memory in the healthy older adult brain", Neuroimage, 54, pp.1488~1494 (2011)
  42. Mabbott DJ, "The relations between white matter and declarative memory in older children and adolescents", Brain Res, 1294, pp.80~90 (2009)
  43. Martínez K, "Atypical age-dependency of executive function and white matter microstructure in children and adolescents with autism spectrum disorders", Eur Child Adolesc Psychiatry, 26, pp.1361~1376 (2017)
  44. Zahr NM, "Problem solving, working memory, and motor correlates of association and commissural fiber bundles in normal aging : a quantitative fiber tracking study", Neuroimage, 44, pp.1050~1062 (2009)
  45. Fryer SL, "Microstructural integrity of the corpus callosum linked with neuropsychological performance in adolescents", Brain Cogn, 67, pp.225~233 (2008)
  46. Alexander AL, "Diffusion tensor imaging of the corpus callosum in Autism", Neuroimage, 34, pp.61~73 (2007)
  47. Hanaie R, "Abnormal corpus callosum connectivity, socio-communicative deficits, and motor deficits in children with autism spectrum disorder : a diffusion tensor imaging study", J Autism Dev Disord, 44, pp.2209~2220 (2014)
  48. Nagy Z, "Maturation of white matter is associated with the development of cognitive functions during childhood", J Cogn Neurosci, 16, pp.1227~1233 (2004)
  49. Yeatman JD, "Lifespan maturation and degeneration of human brain white matter", Nat Commun, 5, pp.4932~4932 (2014)
  50. Oldfield RC, "The assessment and analysis of handedness : the Edinburgh inventory", Neuropsychologia, 9, pp.97~113 (1971)
  51. Lord C, "The autism diagnostic observation schedule—generic : a standard measure of social and communication deficits associated with the spectrum of autism", J Autism Dev Disord, 30, pp.205~223 (2000)
  52. Berument SK, "Autism screening questionnaire : diagnostic validity", Br J Psychiatry, 175, pp.444~451 (1999)
  53. Dairoku H, "Development of Japanese version of autism screening questionnaire", Kokuritsu Tokushu Kyoiku Kenkyusho Ippan Kenkyu Houkokusho, 7, pp.19~34 (2004)
  54. Wechsler D, "Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) San Antonio" (2003), The Psychological Corporation
  55. Flanagan DP, "Essentials of WISC-IV Assessment" (2009), John Wiley & Sons International
  56. Maekawa H, "The Das-Naglieri Cognitive Assessment System" (2007), Nihon Bunka Kagakusha
  57. Leemans A, "The B-matrix must be rotated when correcting for subject motion in DTI data", Magn Reson Med, 61, pp.1336~1349 (2009)
  58. Basser PJ, "In vivo fiber tractography using DT-MRI data", Magn Reson Med, 44, pp.625~632 (2000)
  59. Jeurissen B, "Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution", Hum Brain Mapp, 32, pp.461~479 (2011)
  60. Wakana S, "Reproducibility of quantitative tractography methods applied to cerebral white matter", Neuroimage, 36, pp.630~644 (2007)
  61. Catani M, "Virtual in vivo interactive dissection of white matter fasciculi in the human brain", Neuroimage, 17, pp.77~94 (2002)
  62. StataCorp, "Stata Statistical Software: Release 14", StataCorp LP, ~ (2015)
  63. Kover ST, "Sentence comprehension in boys with autism spectrum disorder", Am J Speech Lang Pathol, 23, pp.385~394 (2014)
  64. Fitsiori A, "The corpus callosum : white matter or terra incognita", Br J Radiol, 84, pp.5~18 (2011)
  65. Kerchner GA, "Cognitive processing speed in older adults : relationship with white matter integrity", PLoS ONE, 7, pp.e50425~ (2012)
  66. Voineskos AN, "Age-related decline in white matter tract integrity and cognitive performance : a DTI tractography and structural equation modeling study", Neurobiol Aging, 33, pp.21~34 (2012)
  67. Saur D, "Combining functional and anatomical connectivity reveals brain networks for auditory language comprehension", Neuroimage, 49, pp.3187~3197 (2010)
  68. Antonenko D, "Functional and structural syntax networks in aging", Neuroimage, 83, pp.513~523 (2013)
  69. Just MA, "Cortical activation and synchronization during sentence comprehension in high-functioning autism : evidence of underconnectivity", Brain, 127, pp.1811~1821 (2004)
  70. Wang AT, "Neural basis of irony comprehension in children with autism : the role of prosody and context", Brain, 129, pp.932~943 (2006)
  71. Knaus TA, "fMRI activation during a language task in adolescents with ASD", J Int Neuropsychol Soc, 14, pp.967~979 (2008)
  72. Luna B, "Maturation of executive function in autism", Biol Psychiatry, 61, pp.474~481 (2007)
  73. Eigsti IM, "Language comprehension and brain function in individuals with an optimal outcome from autism", Neuroimage Clin, 10, pp.182~191 (2016)
  74. Andersen SL, "Trajectories of brain development: point of vulnerability or window of opportunity?", Neurosci Biobehav Rev, 27, pp.3~18 (2003)
  75. Howe YJ, "Female autism phenotypes investigated at different levels of language and developmental abilities", J Autism Dev Disord, 45, pp.3537~3549 (2015)

이 간행물의 다른 논문 (10건)