Impaired White Matter Integrity and Social Cognition in High-Function Autism: Diffusion Tensor Imaging Study
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objective It is known that many of the cognitive and social deficits associated with autism can arise from abnormal functional connectivity between brain networks. This aberrant functional connectivity in autism spectrum disorders (ASD) can be explained by impaired integrity of white matter tracts that link distant regions of the networks. Methods We investigated white matter in 9 children with high-function autism (HFA) compared to 13 typically developing controls using diffusion tensor imaging (DTI). The aim of this research is to provide supporting evidence for abnormalities in neural connectivity as an underlying pathophysiology of the main characteristics of ASD. Results We found impairment of neural connectivity, mainly in association fiber tracts as evidenced by decreased fractional anisotropy (FA), the index of white matter integrity, of these tracts. Among them, inferior fronto-occipital fasciculus (IFOF) had a significant relationship with ADI-R score. The inferior longitudinal fasciculus (ILF) and superior longitudinal fasciculus (SLF) also showed decreased FA. Decreased FA of ILF and SLF had negative correlations with scores of social interaction. Conclusion These findings suggest that widespread abnormalities in association fiber tracts may contribute to both core and associated symptoms of ASD.
Abstract
Objective It is known that many of the cognitive and social deficits associated with autism can arise from abnormal functional connectivity between brain networks. This aberrant functional connectivity in autism spectrum disorders (ASD) can be explained by impaired integrity of white matter tracts that link distant regions of the networks. Methods We investigated white matter in 9 children with high-function autism (HFA) compared to 13 typically developing controls using diffusion tensor imaging (DTI). The aim of this research is to provide supporting evidence for abnormalities in neural connectivity as an underlying pathophysiology of the main characteristics of ASD. Results We found impairment of neural connectivity, mainly in association fiber tracts as evidenced by decreased fractional anisotropy (FA), the index of white matter integrity, of these tracts. Among them, inferior fronto-occipital fasciculus (IFOF) had a significant relationship with ADI-R score. The inferior longitudinal fasciculus (ILF) and superior longitudinal fasciculus (SLF) also showed decreased FA. Decreased FA of ILF and SLF had negative correlations with scores of social interaction. Conclusion These findings suggest that widespread abnormalities in association fiber tracts may contribute to both core and associated symptoms of ASD.
참고문헌 (54)
- American Psychiatric Association, "Diagnostic and Statistical Manual of Mental Disorders, DSM-5" (2013)
- Castelli F, "Autism, Asperger syndrome and brain mechanisms for the attribution of mental states to animated shapes", Brain, 125, pp.1839~1849 (2002)[DOI]
- Just MA, "Cortical activation and synchronization during sentence comprehension in high-functioning autism: evidence of underconnectivity", Brain, 127, pp.1811~1821 (2004)[DOI]
- Kennedy DP, "Failing to deactivate: resting functional abnormalities in autism", Proc Natl Acad Sci U S A, 103, pp.8275~8280 (2006)[DOI]
- Villalobos ME, "Reduced functional connectivity between V1 and inferior frontal cortex associated with visuomotor performance in autism", Neuroimage, 25, pp.916~925 (2005)[DOI]
- Ameis SH, "Impaired structural connectivity of socio-emotional circuits in autism spectrum disorders: a diffusion tensor imaging study", PLoS One, 6, pp.e28044~ (2011)[DOI]
- Basser PJ, "Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI", J Magn Reson, 213, pp.560~570 (1996)
- Barnea-Goraly N, "White matter structure in autism: preliminary evidence from diffusion tensor imaging", Biol Psychiatry, 55, pp.323~326 (2004)[DOI]
- Lee JE, "Diffusion tensor imaging of white matter in the superior temporal gyrus and temporal stem in autism", Neurosci Lett, 424, pp.127~132 (2007)[DOI]
- Alexander AL, "Diffusion tensor imaging of the corpus callosum in autism", Neuroimage, 34, pp.61~73 (2007)[DOI]
- Cheung C, "White matter fractional anisotrophy differences and correlates of diagnostic symptoms in autism", J Child Psychol Psychiatry, 50, pp.1102~1112 (2009)[DOI]
- Smith SM, "Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data", Neuroimage, 31, pp.1487~1505 (2006)[DOI]
- Jones DK, "The effect of filter size on VBM analyses of DT-MRI data", Neuroimage, 26, pp.546~554 (2005)[DOI]
- Jou RJ, "Structural neural phenotype of autism: preliminary evidence from a diffusion tensor imaging study using tract-based spatial statistics", AJNR Am J Neuroradiol, 32, pp.1607~1613 (2011)[DOI]
- Walker L, "Diffusion tensor imaging in young children with autism: biological effects and potential confounds", Biol Psychiatry, 72, pp.1043~1051 (2012)[DOI]
- Wechsler D, "The Wechsler Intelligence Scale for Children-fourth edition" (2004), Pearson Assessment
- 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)[DOI]
- Lord C, "Autism Diagnostic Interview-Revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders", J Autism Dev Disord, 24, pp.659~685 (1994)[DOI]
- Kim DJ, "How does distortion correction correlate with anisotropic indices? A diffusion tensor imaging study", Magn Reson Imaging, 4, pp.1369~1376 (2006)
- Anjari M, "Diffusion tensor imaging with tract-based spatial statistics reveals local white matter abnormalities in preterm infants", Neuroimage, 35, pp.1021~1027 (2007)[DOI]
- Nichols TE, "Nonparametric permutation tests for functional neuroimaging: a primer with examples", Hum Brain Mapp, 15, pp.1~25 (2002)[DOI]
- Smith SM, "Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localization in cluster inference", Neuroimage, 44, pp.83~98 (2009)[DOI]
- Hua K, "Tract probability maps in stereotaxic spaces: analysis of white matter anatomy and tract-specific quantification", NeuroImage, 39, pp.336~347 (2008)[DOI]
- Perkins TJ, "Increased left hemisphere impairment in high-functioning autism: a tract based spatial statistics study", Psychiatry Res, 224, pp.119~123 (2014)[DOI]
- 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)[DOI]
- Jou RJ, "Diffusion tensor imaging in autism spectrum disorders: preliminary evidence of abnormal neural connectivity", Aust N Z J Psychiatry, 45, pp.153~162 (2011)[DOI]
- 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)[DOI]
- Catani M, "Occipito-temporal connections in the human brain", Brain, 126, pp.2093~2107 (2003)[DOI]
- Martino J, "Anatomic dissection of the inferior fronto-occipital fasciculus revisited in the lights of brain stimulation data", Cortex, 46, pp.691~699 (2010)[DOI]
- Thomas C, "Reduced structural connectivity in ventral visual cortex in congenital prosopagnosia", Nat Neurosci, 12, pp.29~31 (2009)[DOI]
- Rizzolatti G, "Two different streams from the dorsal visual system", Exp Brain Res, 153, pp.146~157 (2003)[DOI]
- Catani M, "Occipito-temporal connections in the human brain", Brain, 126, pp.2093~2107 (2003)[DOI]
- Wakana S, "Fiber tract based atlas of human white matter anatomy", Radiology, 230, pp.77~87 (2004)[DOI]
- Thiebaut de Schotten M, "Monkey to human comparative anatomy of the frontal lobe association tracts", Cortex, 48, pp.82~96 (2012)[DOI]
- Philippi CL, "Damage to association fiber tracts impairs recognition of the facial expression of emotion", J Neurosci, 29, pp.15089~15099 (2009)[DOI]
- Boucher J, "Putting theory of mind in its place: psychological explanations of the socio-emotional-communicative impairments in autistic spectrum disorder", Autism, 16, pp.226~246 (2012)[DOI]
- Losh M, "Neuropsychological profile of autism and the broad autism phenotype", Arch Gen Psychiatry, 66, pp.518~526 (2009)[DOI]
- Weng SJ, "Neural activation to emotional faces in adolescents with autism spectrum disorders", J Child Psychol Psychiatry, 52, pp.296~305 (2011)[DOI]
- Pelphrey KA, "Charting the typical and atypical development of the social brain", Dev Psychopathol, 20, pp.1081~1102 (2008)[DOI]
- Adolphs R, "Intact recognition of emotional prosody following amygdala damage", Neuropsychologia, 37, pp.1285~1292 (1999)[DOI]
- Celani G, "The understanding of the emotional meaning of facial expressions in people with autism", J Autism Dev Disord, 29, pp.57~66 (1999)[DOI]
- Gross TF, "The perception of four basic emotions in human and nonhuman faces by children with autism and other developmental disabilities", J Abnorm Child Psychol, 32, pp.469~480 (2004)[DOI]
- Harms MB, "Facial emotion recognition in autism spectrum disorders: a review of behavioral and neuroimaging studies", Neuropsychol Rev, 20, pp.290~322 (2010)[DOI]
- Klin A, "Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in individuals with autism", Arch Gen Psychiatry, 59, pp.809~816 (2002)[DOI]
- Barnea-Goraly N, "Similar white matter aberrations in children with autism and their unaffected siblings: a diffusion tensor imaging study using tract-based spatial statistics", Arch Gen Psychiatry, 67, pp.1052~1060 (2010)[DOI]
- Sahyoun CP, "White matter integrity and pictorial reasoning in high-functioning children with autism", Brain Cogn, 73, pp.180~188 (2010)[DOI]
- Fletcher PT, "Microstructural connectivity of the arcuate fasciculus in adolescents with high-functioning autism", Neuroimage, 51, pp.1117~1125 (2010)[DOI]
- Catani M, "Perisylvian language networks of the human brain", Ann Neurol, 57, pp.8~16 (2005)[DOI]
- Kaiser MD, "Neural signatures of autism", Proc Natl Acad Sci U S A, 107, pp.21223~21228 (2010)[DOI]
- Kumar A, "Alterations in frontal lobe tracts and corpus callosum in young children with autism spectrum disorder", Cereb Cortex, 20, pp.2103~2113 (2010)[DOI]
- Cheng Y, "Atypical development of white matter microstructure in adolescents with autism spectrum disorders", Neuroimage, 50, pp.873~882 (2010)[DOI]
- Assis ZA, "Childhood autism in India: a case-control study using tract-based spatial statistics analysis", Indian J Psychiatry, 57, pp.272~277 (2015)[DOI]
- Billeci L, "White matter connectivity in children with autism spectrum disorders: a tract-based spatial statistics study", BMC Neurol, 12, pp.148~ (2012)[DOI]
- Bradstreet LE, "Associations between autistic traits and fractional anisotropy values in white matter tracts in a nonclinical sample of young adults", Exp Brain Res, 235, pp.259~267 (2017)[DOI]
