Constrained spherical deconvolution-based tractography and tract-based spatial statistics show abnormal microstructural organization in Asperger syndrome
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M. Sams | A. Leemans | T. N. Wendt | J. Salmi | S. Leppämäki | P. Tani | U. Roine | T. Roine | P. Rintahaka
[1] C. Beaulieu,et al. The basis of anisotropic water diffusion in the nervous system – a technical review , 2002, NMR in biomedicine.
[2] Do P. M. Tromp,et al. Diffusion Tensor Imaging in Autism Spectrum Disorder: A Review , 2012, Autism research : official journal of the International Society for Autism Research.
[3] Alexander Leemans,et al. The B‐matrix must be rotated when correcting for subject motion in DTI data , 2009, Magnetic resonance in medicine.
[4] Alexander Leemans,et al. Microstructural maturation of the human brain from childhood to adulthood , 2008, NeuroImage.
[5] Daniel Rueckert,et al. Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.
[6] Thomas R. Knösche,et al. White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI , 2013, NeuroImage.
[7] Alan Connelly,et al. Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution , 2007, NeuroImage.
[8] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[9] A. Leemans,et al. Comprehensive framework for accurate diffusion MRI parameter estimation , 2013, Magnetic resonance in medicine.
[10] J. Belliveau,et al. White matter integrity and pictorial reasoning in high-functioning children with autism , 2010, Brain and Cognition.
[11] E. Fombonne. Epidemiology of Pervasive Developmental Disorders , 2009, Pediatric Research.
[12] C. Arango,et al. Autism Spectrum Disorder: Does Neuroimaging Support the DSM-5 Proposal for a Symptom Dyad? A Systematic Review of Functional Magnetic Resonance Imaging and Diffusion Tensor Imaging Studies , 2011, Journal of Autism and Developmental Disorders.
[13] Nancy Kanwisher,et al. Spurious group differences due to head motion in a diffusion MRI study , 2013, NeuroImage.
[14] N. Ramsey,et al. Reliability of two clinically relevant fiber pathways reconstructed with constrained spherical deconvolution , 2013, Magnetic resonance in medicine.
[15] T Varilo,et al. Molecular genetics of the Finnish disease heritage. , 1999, Human molecular genetics.
[16] Jean Decety,et al. Atypical development of white matter microstructure in adolescents with autism spectrum disorders , 2010, NeuroImage.
[17] I. Koerte,et al. Diffusion Tensor Imaging , 2014 .
[18] Derek K. Jones,et al. White Matter Microstructure Predicts Autistic Traits in Attention-Deficit/Hyperactivity Disorder , 2014, Journal of Autism and Developmental Disorders.
[19] J. Cañive,et al. Assessment and quantification of head motion in neuropsychiatric functional imaging research as applied to schizophrenia , 2007, Journal of the International Neuropsychological Society.
[20] Douglas L. Rosene,et al. The Geometric Structure of the Brain Fiber Pathways , 2012, Science.
[21] Mara Cercignani,et al. Strategies for Patient–Control Comparison of Diffusion MR Data , 2010 .
[22] D. Skuse,et al. White matter microstructure correlates with autism trait severity in a combined clinical–control sample of high-functioning adults , 2013, NeuroImage: Clinical.
[23] F. Dell’Acqua,et al. Fronto-striatal circuitry and inhibitory control in autism: Findings from diffusion tensor imaging tractography , 2012, Cortex.
[24] A. Leemans,et al. Diffusion tensor MRI of chemotherapy-induced cognitive impairment in non-CNS cancer patients: a review , 2013, Brain Imaging and Behavior.
[25] Max A. Viergever,et al. The influence of complex white matter architecture on the mean diffusivity in diffusion tensor MRI of the human brain , 2012, NeuroImage.
[26] Max A. Viergever,et al. Partial volume effect as a hidden covariate in DTI analyses , 2011, NeuroImage.
[27] V. Wedeen,et al. Fiber crossing in human brain depicted with diffusion tensor MR imaging. , 2000, Radiology.
[28] Mikko Sams,et al. Increased Coherence of White Matter Fiber Tract Organization in Adults with Asperger Syndrome: A Diffusion Tensor Imaging Study , 2013, Autism research : official journal of the International Society for Autism Research.
[29] Talma Hendler,et al. Abnormal white matter integrity in young children with autism , 2011, Human brain mapping.
[30] S. Baron-Cohen,et al. The "Reading the Mind in the Eyes" Test revised version: a study with normal adults, and adults with Asperger syndrome or high-functioning autism. , 2001, Journal of child psychology and psychiatry, and allied disciplines.
[31] Randy L. Gollub,et al. Reproducibility of quantitative tractography methods applied to cerebral white matter , 2007, NeuroImage.
[32] Alan Connelly,et al. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution , 2004, NeuroImage.
[33] Timothy Edward John Behrens,et al. Training induces changes in white matter architecture , 2009, Nature Neuroscience.
[34] Nancy Kanwisher,et al. Differences in the right inferior longitudinal fasciculus but no general disruption of white matter tracts in children with autism spectrum disorder , 2014, Proceedings of the National Academy of Sciences.
[35] S. Folstein,et al. Genetics of austim: complex aetiology for a heterogeneous disorder , 2001, Nature Reviews Genetics.
[36] Jacques-Donald Tournier,et al. Diffusion tensor imaging and beyond , 2011, Magnetic resonance in medicine.
[37] Katherine A. Johnson,et al. Abnormal functional connectivity during visuospatial processing is associated with disrupted organisation of white matter in autism , 2013, Front. Hum. Neurosci..
[38] Marcel Adam Just,et al. Inter-Regional Brain Communication and Its Disturbance in Autism , 2011, Front. Syst. Neurosci..
[39] Talma Hendler,et al. Accelerated maturation of white matter in young children with autism: A high b value DWI study , 2007, NeuroImage.
[40] Sam Wass,et al. Distortions and disconnections: Disrupted brain connectivity in autism , 2011, Brain and Cognition.
[41] A. Dale,et al. Age-related alterations in white matter microstructure measured by diffusion tensor imaging , 2005, Neurobiology of Aging.
[42] Mara Cercignani,et al. Twenty‐five pitfalls in the analysis of diffusion MRI data , 2010, NMR in biomedicine.
[43] A. Estes,et al. Age-related abnormalities in white matter microstructure in autism spectrum disorders , 2012, Brain Research.
[44] Ann S. Choe,et al. Validation of diffusion tensor MRI in the central nervous system using light microscopy: quantitative comparison of fiber properties , 2012, NMR in biomedicine.
[45] G. Kindlmann,et al. Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images , 2006, Magnetic resonance in medicine.
[46] Jan Sijbers,et al. On the construction of an inter-subject diffusion tensor magnetic resonance atlas of the healthy human brain , 2008, NeuroImage.
[47] Jan Sijbers,et al. The effect of template selection on diffusion tensor voxel-based analysis results , 2011, NeuroImage.
[48] C. Betancur,et al. Etiological heterogeneity in autism spectrum disorders: More than 100 genetic and genomic disorders and still counting , 2011, Brain Research.
[49] A. Connelly,et al. White matter fiber tractography: why we need to move beyond DTI. , 2013, Journal of neurosurgery.
[50] Matteo Pardini,et al. Long-term Cognitive and Behavioral Therapies, Combined with Augmentative Communication, are Related to Uncinate Fasciculus Integrity in Autism , 2011, Journal of Autism and Developmental Disorders.
[51] P. Basser,et al. MR diffusion tensor spectroscopy and imaging. , 1994, Biophysical journal.
[52] Ruth A. Carper,et al. Autism and Abnormal Development of Brain Connectivity , 2004, The Journal of Neuroscience.
[53] O. Tervonen,et al. White matter in autism spectrum disorders – evidence of impaired fiber formation , 2011, Acta radiologica.
[54] Carl-Fredrik Westin,et al. Processing and visualization for diffusion tensor MRI , 2002, Medical Image Anal..
[55] Katharine N. Thakkar,et al. Response monitoring, repetitive behaviour and anterior cingulate abnormalities in autism spectrum disorders (ASD) , 2008, Brain : a journal of neurology.
[56] Wilfried Philips,et al. Isotropic non-white matter partial volume effects in constrained spherical deconvolution , 2014, Front. Neuroinform..
[57] Stephen M. Smith,et al. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.
[58] Saskia H. Aarnink,et al. Automated longitudinal intra-subject analysis (ALISA) for diffusion MRI tractography , 2014, NeuroImage.
[59] Declan G. M. Murphy,et al. Altered cerebellar feedback projections in Asperger syndrome , 2008, NeuroImage.
[60] S. Baron-Cohen,et al. The Empathy Quotient: An Investigation of Adults with Asperger Syndrome or High Functioning Autism, and Normal Sex Differences , 2004, Journal of autism and developmental disorders.
[61] Jan Sijbers,et al. Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution , 2011, Human brain mapping.
[62] Charles D. Smith,et al. Neuronal fiber pathway abnormalities in autism: An initial MRI diffusion tensor tracking study of hippocampo-fusiform and amygdalo-fusiform pathways , 2008, Journal of the International Neuropsychological Society.
[63] Katherine A. Johnson,et al. White Matter and Visuospatial Processing in Autism: A Constrained Spherical Deconvolution Tractography Study , 2013, Autism research : official journal of the International Society for Autism Research.
[64] Teresa K. W. Wong,et al. White matter fractional anisotrophy differences and correlates of diagnostic symptoms in autism. , 2009, Journal of child psychology and psychiatry, and allied disciplines.
[65] Agatha D. Lee,et al. Genetics of Brain Fiber Architecture and Intellectual Performance , 2009, The Journal of Neuroscience.
[66] Chun-Hung Yeh,et al. Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data , 2008, NeuroImage.
[67] Peter U. Tse,et al. White Matter Structure Changes as Adults Learn a Second Language , 2012, Journal of Cognitive Neuroscience.
[68] S. Baron-Cohen,et al. The Autism-Spectrum Quotient (AQ): Evidence from Asperger Syndrome/High-Functioning Autism, Malesand Females, Scientists and Mathematicians , 2001, Journal of autism and developmental disorders.
[69] Klaus H. Maier-Hein,et al. Methodological considerations on tract-based spatial statistics (TBSS) , 2014, NeuroImage.
[70] Simon Baron-Cohen,et al. The systemizing quotient: an investigation of adults with Asperger syndrome or high-functioning autism, and normal sex differences. , 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[71] Derek K. Jones,et al. White matter integrity in Asperger syndrome: a preliminary diffusion tensor magnetic resonance imaging study in adults , 2010, Autism research : official journal of the International Society for Autism Research.
[72] Derek K. Jones,et al. Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging , 2013, Human brain mapping.
[73] L. Nummenmaa,et al. The brains of high functioning autistic individuals do not synchronize with those of others☆ , 2013, NeuroImage: Clinical.
[74] D Mataix-Cols,et al. Voxel-based meta-analysis of regional white-matter volume differences in autism spectrum disorder versus healthy controls , 2010, Psychological Medicine.
[75] Derek K. Jones. Diffusion MRI: Theory, methods, and applications , 2011 .
[76] Daniel Rueckert,et al. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data , 2006, NeuroImage.
[77] Marlene Behrmann,et al. The anatomy of the callosal and visual-association pathways in high-functioning autism: A DTI tractography study , 2011, Cortex.
[78] Jan Sijbers,et al. ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data , 2009 .