Local functional overconnectivity in posterior brain regions is associated with symptom severity in autism spectrum disorders.

[1]  Daniel P. Kennedy,et al.  Largely typical patterns of resting-state functional connectivity in high-functioning adults with autism. , 2014, Cerebral cortex.

[2]  John O. Willis,et al.  Wechsler Abbreviated Scale of Intelligence , 2014 .

[3]  Abraham Z. Snyder,et al.  Steps toward optimizing motion artifact removal in functional connectivity MRI; a reply to Carp , 2013, NeuroImage.

[4]  R. Cameron Craddock,et al.  A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics , 2013, NeuroImage.

[5]  Joshua Carp,et al.  Optimizing the order of operations for movement scrubbing: Comment on Power et al. , 2013, NeuroImage.

[6]  Janet B W Williams,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[7]  Simon B. Eickhoff,et al.  An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data , 2013, NeuroImage.

[8]  Matthew W. State,et al.  The Emerging Biology of Autism Spectrum Disorders , 2012, Science.

[9]  Ralph-Axel Müller,et al.  Atypical lexicosemantic function of extrastriate cortex in autism spectrum disorder: Evidence from functional and effective connectivity , 2012, NeuroImage.

[10]  T. Zeffiro,et al.  Enhanced visual functioning in autism: An ALE meta‐analysis , 2012, Human brain mapping.

[11]  Guido Gerig,et al.  Differences in white matter fiber tract development present from 6 to 24 months in infants with autism. , 2012, The American journal of psychiatry.

[12]  Hang Joon Jo,et al.  Trouble at Rest: How Correlation Patterns and Group Differences Become Distorted After Global Signal Regression , 2012, Brain Connect..

[13]  J. Baio.  Prevalence of autism spectrum disorders--Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2008. , 2012, Morbidity and mortality weekly report. Surveillance summaries.

[14]  Abraham Z. Snyder,et al.  Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.

[15]  Marlies E. Vissers,et al.  Brain connectivity and high functioning autism: A promising path of research that needs refined models, methodological convergence, and stronger behavioral links , 2012, Neuroscience & Biobehavioral Reviews.

[16]  Mert R. Sabuncu,et al.  The influence of head motion on intrinsic functional connectivity MRI , 2012, NeuroImage.

[17]  E. Courchesne,et al.  Neuron number and size in prefrontal cortex of children with autism. , 2011, JAMA.

[18]  Y. S. Kim,et al.  Prevalence of autism spectrum disorders in a total population sample. , 2011, The American journal of psychiatry.

[19]  E. Courchesne,et al.  Brain growth across the life span in autism: Age-specific changes in anatomical pathology , 2011, Brain Research.

[20]  Ralph-Axel Müller,et al.  Tract-specific analyses of diffusion tensor imaging show widespread white matter compromise in autism spectrum disorder. , 2011, Journal of child psychology and psychiatry, and allied disciplines.

[21]  Клинические дисциплины.  Autism Diagnostic Observation Schedule , 2010 .

[22]  B. T. Thomas Yeo,et al.  The Organization of Local and Distant Functional Connectivity in the Human Brain , 2010, PLoS Comput. Biol..

[23]  Peter A. Bandettini,et al.  Sources of group differences in functional connectivity: An investigation applied to autism spectrum disorder , 2010, NeuroImage.

[24]  Archana Venkataraman,et al.  Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. , 2010, Journal of neurophysiology.

[25]  Lawrie S. McKay,et al.  Vision in autism spectrum disorders , 2009, Vision Research.

[26]  Manuel Casanova,et al.  Radial cytoarchitecture and patterns of cortical connectivity in autism , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.

[27]  Keith A. Johnson,et al.  Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease , 2009, The Journal of Neuroscience.

[28]  Kevin Murphy,et al.  The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? , 2009, NeuroImage.

[29]  D. Amaral,et al.  Neuroanatomy of autism , 2008, Trends in Neurosciences.

[30]  Caroline C Brown,et al.  Disordered connectivity in the autistic brain: challenges for the "new psychophysiology". , 2007, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[31]  D. Geschwind,et al.  Autism spectrum disorders: developmental disconnection syndromes , 2007, Current Opinion in Neurobiology.

[32]  J. Baio,et al.  Prevalence of Autism Spectrum Disorders: Autism and Developmental Disabilities Monitoring Network, United States, 2006. Morbidity and Mortality Weekly Report. Surveillance Summaries. Volume 58, Number SS-10. , 2009 .

[33]  B. Hubert,et al.  Enhanced Perceptual Functioning in Autism: An Update, and Eight Principles of Autistic Perception , 2006, Journal of autism and developmental disorders.

[34]  U. Frith,et al.  Vagaries of Visual Perception in Autism , 2005, Neuron.

[35]  Mark W. Woolrich,et al.  Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.

[36]  Ruth A. Carper,et al.  Autism and Abnormal Development of Brain Connectivity , 2004, The Journal of Neuroscience.

[37]  E K Perry,et al.  Autism as a disorder of neural information processing: directions for research and targets for therapy* , 2004, Molecular Psychiatry.

[38]  E. Hill.  Executive dysfunction in autism , 2004, Trends in Cognitive Sciences.

[39]  M. Merzenich,et al.  Model of autism: increased ratio of excitation/inhibition in key neural systems , 2003, Genes, brain, and behavior.

[40]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[41]  V. Haughton,et al.  Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data. , 2001, AJNR. American journal of neuroradiology.

[42]  Stephen M. Smith,et al.  A global optimisation method for robust affine registration of brain images , 2001, Medical Image Anal..

[43]  K. Sundet,et al.  PSYCHOMETRIC PROPERTIES OF A NORWEGIAN RESEARCH VERSION OF THE 'WECHSLER ABBREVIATED SCALE OF INTELLIGENCE' (WASI) , 2001 .

[44]  Stephen M. Smith,et al.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.

[45]  F. Happé.  Autism: cognitive deficit or cognitive style? , 1999, Trends in Cognitive Sciences.

[46]  R W Cox,et al.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.

[47]  Jonathan D. Cohen,et al.  Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold , 1995, Magnetic resonance in medicine.

[48]  R. C. Oldfield.  The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.