Brain structural underpinnings of autism spectrum disorder revealed by sulcus-based morphometry
暂无分享,去创建一个
Guillaume Auzias | Sylvain Takerkart | Christine Deruelle | Nadine Girard | David Da Fonseca | Marine Viellard | Nathalie Villeneuve | François Poinso | C. Deruelle | G. Auzias | D. Fonseca | N. Girard | S. Takerkart | N. Villeneuve | M. Viellard | F. Poinso
[1] Osamu Abe,et al. Diminished Medial Prefrontal Activity behind Autistic Social Judgments of Incongruent Information , 2012, PloS one.
[2] Daniel P. Kennedy,et al. Mapping Early Brain Development in Autism , 2007, Neuron.
[3] D. Louis Collins,et al. Object-based morphometry of the cerebral cortex , 2004, IEEE Transactions on Medical Imaging.
[4] D. V. van Essen,et al. Cortical Folding Abnormalities in Autism Revealed by Surface-Based Morphometry , 2007, The Journal of Neuroscience.
[5] Karl J. Friston,et al. Unified segmentation , 2005, NeuroImage.
[6] Barrie Condon,et al. Changes in the Sulcal Size Associated With Autism Spectrum Disorder Revealed by Sulcal Morphometry , 2012, Autism research : official journal of the International Society for Autism Research.
[7] D. Segal. Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR) , 2010 .
[8] Pierrick Coupé,et al. Author manuscript, published in "Journal of Magnetic Resonance Imaging 2010;31(1):192-203" DOI: 10.1002/jmri.22003 Adaptive Non-Local Means Denoising of MR Images with Spatially Varying Noise Levels , 2010 .
[9] Jay N. Giedd,et al. Mapping cortical anatomy in preschool aged children with autism using surface-based morphometry☆ , 2012, NeuroImage: Clinical.
[10] Steven C. R. Williams,et al. Describing the Brain in Autism in Five Dimensions—Magnetic Resonance Imaging-Assisted Diagnosis of Autism Spectrum Disorder Using a Multiparameter Classification Approach , 2010, The Journal of Neuroscience.
[11] P. Ellen Grant,et al. Quantitative comparison and analysis of sulcal patterns using sulcal graph matching: A twin study , 2011, NeuroImage.
[12] Jean-Francois Mangin,et al. Cortical sulci recognition and spatial normalization , 2011, Medical Image Anal..
[13] Simon B Eickhoff,et al. Brain structure anomalies in autism spectrum disorder—a meta‐analysis of VBM studies using anatomic likelihood estimation , 2012, Human brain mapping.
[14] A. Dale,et al. Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.
[15] Jean-Francois Mangin,et al. Identification of Growth Seeds in the Neonate Brain through Surfacic Helmholtz Decomposition , 2009, IPMI.
[16] Alex Martin,et al. Increased gyrification, but comparable surface area in adolescents with autism spectrum disorders. , 2013, Brain : a journal of neurology.
[17] D. Amaral,et al. Neuroanatomy of autism , 2008, Trends in Neurosciences.
[18] Arthur W Toga,et al. Cortical sulcal maps in autism. , 2003, Cerebral cortex.
[19] Jin Fan,et al. Effects of age and symptomatology on cortical thickness in autism spectrum disorders. , 2013, Research in autism spectrum disorders.
[20] I. Ikuta,et al. Gyrification patterns in monozygotic twin pairs varying in discordance for autism , 2009, Autism research : official journal of the International Society for Autism Research.
[21] Justin H G Williams,et al. Self–other relations in social development and autism: multiple roles for mirror neurons and other brain bases , 2008, Autism research : official journal of the International Society for Autism Research.
[22] Meritxell Bach Cuadra,et al. A Surface-Based Approach to Quantify Local Cortical Gyrification , 2008, IEEE Transactions on Medical Imaging.