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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2024Multitrait analysis to decipher the intertwined genetic architecture of neuroanatomical phenotypes and psychiatric disorders., Biol Psychiatry Cogn Neurosci Neuroimaging 2024 Sep; (): .
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2023Diversity and evolution of cerebellar folding in mammals., Elife 2023 Sep; 12(): .
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2023Phenotypic effects of genetic variants associated with autism., Nat Med 2023 Jun; (): .
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2022Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery., Neuroimage 2022 Jul; 255(): 119171.
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2021Sex differences in the brain are not reduced to differences in body size., Neurosci Biobehav Rev 2021 11; 130(): 509-511.
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2021Neuroanatomical norms in the UK Biobank: The impact of allometric scaling, sex, and age., Hum Brain Mapp 2021 Oct; 42(14): 4623-4642.
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2021Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective., Gigascience 2021 Aug; 10(8): .
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2021Brainhack: Developing a culture of open, inclusive, community-driven neuroscience., Neuron 2021 Jun; 109(11): 1769-1775.
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2021Imaging evolution of the primate brain: the next frontier?, Neuroimage 2021 Mar; 228(): 117685.
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2021A collaborative resource platform for non-human primate neuroimaging., Neuroimage 2021 Feb; 226(): 117519.
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