My European Research Council (ERC) Starting Grant - AUTISMS - focuses on using big data resources and a variety of different analytic approaches to better understand how multi-level heterogeneity manifests in autism.

Relevant Publications

Trakoshis, S., Martinez-Canada, P., et al., & Lombardo, M. V. (2020). Intrinsic excitation-inhibition imbalance affects medial prefrontal cortex differently in autistic men versus women. eLife, 9, e55684.

Lombardo, M. V., et al., (2020). Sex-specific impact of prenatal androgens on social brain default mode subsystems. Molecular Psychiatry, 25, 2175-2188.

Lombardo, M. V., Eyler, L., Moore, A., Datko, M., Barnes, C. C., Cha, D., Courchesne, E., & Pierce, K. (2019). Default mode-visual network hypoconnectivity in an autism subtype with pronounced social visual engagement difficulties.. eLife, 8, e47427. doi:10.7554/eLife.47427.

Lombardo, M. V., Lai, M. C., & Baron-Cohen, S. (2019). Big data approaches to decomposing heterogeneity across the autism spectrum. Molecular Psychiatry, 24, 1435-1450.

Lai, M. C., Lombardo, M. V., et al., (2019). Neural self-representation in autistic women and association with compensatory camouflaging. Autism, 23, 1210-1223.

Lombardo, M. V., et al., (2018). Large-scale associations between the leukocyte transcriptome and BOLD responses to speech differ in autism early language outcome subtypes. Nature Neuroscience, 21, 1680-1688.