@article{8532274,
  abstract     = {Autistic spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits  in  social  interactions,  communication  and  stereotyped  behavior.  Recent  evidence  from neuroimaging  supports  the  hypothesis  that  ASD  deficits  in  adults  may  be  related  to abnormalities  in  a  specific  frontal - temporal  network  (Autism-specific  Structural  Network, ASN).  To  see  whether  these  results  extend  to  younger  children  and  to  better  characterize 
these  abnormalities,  we  applied  three  morphometric  methods  on  brain  grey  matter  of children with and without ASD. We  selected  39 sMRI images  of  male  children  with  ASD and  42  typically  developing  (TD) from  the  ABIDE  database.  We  used  Source -Based  Morphometry  (SoBM),  a  whole-brain multivariate  approach  to  identify  grey  matter  networks,  Voxel-Based  Morphometry  (VBM), a   voxel-wise   comparison   of   the   local grey   matter   concentration,   and   Surface-Based Morphometry (SuBM) for the estimation of the cortical parameters.
SoBM  showed  a  bilateral  frontal - parietal - temporal  network  different  between  groups, including the inferior - middle temporal gyrus, the inferior parietal lobule and the postcentral gyrus; VBM returned differences only in the right temporal lobe; SuBM returned a thinning in the right inferior temporal lobe thinner in ASD, a higher gyrification in the right superior parietal lobule in TD and in the middle frontal gyrus in ASD. },
  author       = {Pappaiani, Edoardo and Siugzdaite, Roma and Vettori, Sofie and Venuti, Paola and Job, Remo and Grecucci, Alessandro},
  issn         = {0953-816X},
  journal      = {EUROPEAN JOURNAL OF NEUROSCIENCE},
  language     = {eng},
  title        = {Three shades of grey : detecting brain abnormalities in children with autism by using Source-, Voxel- and Surface-based Morphometry},
  url          = {http://dx.doi.org/10.1111/ejn.13704},
  year         = {2017},
}

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