Our group is interested in the development and evolution of brain anatomy. Our main tools are mathematical modelling, magnetic resonance imaging and human genetics. We develop computational neuroanatomy methods base on our theoretical models which we use to analyse the normal diversity of human brain anatomy, as well as to look for differences associated with neurodevelopmental pathologies. We are particularly interested in Autism Spectrum Disorders.
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2019Morning Plasma Melatonin Differences in Autism: Beyond the Impact of Pineal Gland Volume, Front Psychiatry. 2019 Feb 6;10:11.
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2018Measuring and Estimating the Effect Sizes of Copy Number Variants on General Intelligence in Community-Based Samples, JAMA Psychiatry 2018 Mar;.
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2018Genome-wide analyses of self-reported empathy: correlations with autism, schizophrenia, and anorexia nervosa, Transl Psychiatry 2018 Mar;8(1):35.
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2017A framework to identify contributing genes in patients with Phelan-McDermid syndrome, NPJ Genom Med 2017;2:32.
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2017Genome-wide meta-analysis of cognitive empathy: heritability, and correlates with sex, neuropsychiatric conditions and cognition, Mol Psychiatry. 2017 Jun 6..
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201511q24.2-25 micro-rearrangements in autism spectrum disorders: Relation to brain structures, Am. J. Med. Genet. A 2015 Dec;167A(12):3019-30.
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2015Neuroanatomical Diversity of Corpus Callosum and Brain Volume in Autism: Meta-analysis, Analysis of the Autism Brain Imaging Data Exchange Project, and Simulation, Biol. Psychiatry 2015 Jul;78(2):126-34.
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2014Meta-analysis of SHANK Mutations in Autism Spectrum Disorders: a gradient of severity in cognitive impairments, PLoS Genet. 2014 Sep;10(9):e1004580.
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2013Progress toward treatments for synaptic defects in autism, Nat. Med. 2013 Jun;19(6):685-94.
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2012Autistic-like behaviours and hyperactivity in mice lacking ProSAP1/Shank2, Nature 2012 Jun;486(7402):256-60.
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