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Gene–brain–behavior mechanisms underlying autism spectrum disorder: implications for precision psychiatry

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Fig. 1: Multimodal machine learning approach for investigating gene–brain–behavior mechanisms underlying phenotypic heterogeneity in autism spectrum disorder (ASD).


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AMB was supported by a Ford Foundation Postdoctoral Fellowship. Additionally, this work was supported by grants from the NIMH (MH118388, MH114976, MH123154, MH118451, MH109685, and MH109685-04S1), the National Institute on Drug Abuse (DA047851), the Hope for Depression Research Foundation, the Pritzker Neuropsychiatric Disorders Research Consortium, the Klingenstein–Simons Foundation Fund, the One Mind Institute, the Rita Allen Foundation, the Dana Foundation, the Foundation for OCD Research, the Hartwell Foundation, and the Brain and Behavior Research Foundation (NARSAD).

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AMB and CL wrote, edited, and approved the article. AMB illustrated Fig. 1.

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Correspondence to Amanda M. Buch or Conor Liston.

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Competing interests

CL is listed as an inventor for Cornell University patent applications on neuroimaging biomarkers for depression that are pending or in preparation. CL has served as a scientific advisor or consultant to Compass Pathways, Delix Therapeutics, and Brainify.AI. The authors declare no other competing interests.

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Buch, A.M., Liston, C. Gene–brain–behavior mechanisms underlying autism spectrum disorder: implications for precision psychiatry. Neuropsychopharmacol. (2023).

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