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AUTISMS SIGNED

Decomposing Heterogeneity in Autism Spectrum Disorders

Total Cost €

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EC-Contrib. €

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Partnership

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Project "AUTISMS" data sheet

The following table provides information about the project.

Coordinator
FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA 

Organization address
address: VIA MOREGO 30
city: GENOVA
postcode: 16163
website: www.iit.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 1˙499˙444 €
 EC max contribution 1˙499˙444 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA IT (GENOVA) coordinator 1˙122˙969.00
2    THE REGENTS OF THE UNIVERSITY OF CALIFORNIA US (OAKLAND CA) participant 281˙250.00
3    UNIVERSITY OF CYPRUS CY (NICOSIA) participant 95˙224.00

Map

 Project objective

Autism spectrum disorders (ASD) affect 1-2% of the population and are a major public health issue. Heterogeneity between affected ASD individuals is substantial both at clinical and etiological levels, thus warranting the idea that we should begin characterizing the ASD population as multiple kinds of ‘autisms’. Without an advanced understanding of how heterogeneity manifests in ASD, it is likely that we will not make pronounced progress towards translational research goals that can have real impact on patient’s lives. This research program is focused on decomposing heterogeneity in ASD at multiple levels of analysis. Using multiple ‘big data’ resources that are both ‘broad’ (large sample size) and ‘deep’ (multiple levels of analysis measured within each individual), I will examine how known variables such as sex, early language development, early social preferences, and early intervention treatment response may be important stratification variables that differentiate ASD subgroups at phenotypic, neural systems/circuits, and genomic levels of analysis. In addition to examining known stratification variables, this research program will engage in data-driven discovery via application of advanced unsupervised computational techniques that can highlight novel multivariate distinctions in the data that signal important ASD subgroups. These data-driven approaches may hold promise for discovering novel ASD subgroups at biological and phenotypic levels of analysis that may be valuable for prioritization in future work developing personalized assessment, monitoring, and treatment strategies for subsets of the ASD population. By enhancing the precision of our understanding about multiple subtypes of ASD this work will help accelerate progress towards the ideals of personalized medicine and help to reduce the burden of ASD on individuals, families, and society.

 Publications

year authors and title journal last update
List of publications.
2019 Saashi A. Bedford, Min Tae M. Park, Gabriel A. Devenyi, Stephanie Tullo, Jurgen Germann, Raihaan Patel, Evdokia Anagnostou, Simon Baron-Cohen, Edward T. Bullmore, Lindsay R. Chura, Michael C. Craig, Christine Ecker, Dorothea L. Floris, Rosemary J. Holt, Rhoshel Lenroot, Jason P. Lerch, Michael V. Lombardo, Declan G. M. Murphy, Armin Raznahan, Amber N. V. Ruigrok, Elizabeth Smith, Michael D. Spence
Large-scale analyses of the relationship between sex, age and intelligence quotient heterogeneity and cortical morphometry in autism spectrum disorder
published pages: , ISSN: 1359-4184, DOI: 10.1038/s41380-019-0420-6
Molecular Psychiatry 2020-01-30
2019 Julian Tillmann, Antonia San José Cáceres, Chris H. Chatham, Daisy Crawley, Rosemary Holt, Bethany Oakley, Tobias Banaschewski, Simon Baron-Cohen, Sven Bölte, Jan K. Buitelaar, Sarah Durston, Lindsay Ham, Eva Loth, Emily Simonoff, Will Spooren, Declan G. Murphy, Tony Charman
Investigating the factors underlying adaptive functioning in autism in the EU-AIMS Longitudinal European Autism Project
published pages: , ISSN: 1939-3792, DOI: 10.1002/aur.2081
Autism Research 2020-01-30
2019 Eric Courchesne, Tiziano Pramparo, Vahid H. Gazestani, Michael V. Lombardo, Karen Pierce, Nathan E. Lewis
The ASD Living Biology: from cell proliferation to clinical phenotype
published pages: 88-107, ISSN: 1359-4184, DOI: 10.1038/s41380-018-0056-y
Molecular Psychiatry 24/1 2020-01-30
2019 Marianne Oldehinkel, Maarten Mennes, Andre Marquand, Tony Charman, Julian Tillmann, Christine Ecker, Flavio Dell’Acqua, Daniel Brandeis, Tobias Banaschewski, Sarah Baumeister, Carolin Moessnang, Simon Baron-Cohen, Rosemary Holt, Sven Bölte, Sarah Durston, Prantik Kundu, Michael V. Lombardo, Will Spooren, Eva Loth, Declan G.M. Murphy, Christian F. Beckmann, Jan K. Buitelaar, Jumana Ahmad, Sara A
Altered Connectivity Between Cerebellum, Visual, and Sensory-Motor Networks in Autism Spectrum Disorder: Results from the EU-AIMS Longitudinal European Autism Project
published pages: 260-270, ISSN: 2451-9022, DOI: 10.1016/j.bpsc.2018.11.010
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 4/3 2020-01-30
2019 Michael V. Lombardo, Bonnie Auyeung, Tiziano Pramparo, Angélique Quartier, Jérémie Courraud, Rosemary J. Holt, Jack Waldman, Amber N. V. Ruigrok, Natasha Mooney, Richard A. I. Bethlehem, Meng-Chuan Lai, Prantik Kundu, Edward T. Bullmore, Jean-Louis Mandel, Amélie Piton, Simon Baron-Cohen
Sex-specific impact of prenatal androgens on social brain default mode subsystems
published pages: , ISSN: 1359-4184, DOI: 10.1038/s41380-018-0198-y
Molecular Psychiatry 2020-01-30
2018 Meng-Chuan Lai, Michael V Lombardo, Bhismadev Chakrabarti, Amber NV Ruigrok, Edward T Bullmore, John Suckling, Bonnie Auyeung, Francesca Happé, Peter Szatmari, Simon Baron-Cohen, Anthony J Bailey, Patrick F Bolton, Sarah Carrington, Marco Catani, Michael C Craig, Eileen M Daly, Sean CL Deoni, Christine Ecker, Julian Henty, Peter Jezzard, Patrick Johnston, Derek K Jones, Anya Madden, Diane Mullins
Neural self-representation in autistic women and association with ‘compensatory camouflaging’
published pages: 136236131880715, ISSN: 1362-3613, DOI: 10.1177/1362361318807159
Autism 2020-01-30
2018 Michael V. Lombardo, Tiziano Pramparo, Vahid Gazestani, Varun Warrier, Richard A. I. Bethlehem, Cynthia Carter Barnes, Linda Lopez, Nathan E. Lewis, Lisa Eyler, Karen Pierce, Eric Courchesne
Large-scale associations between the leukocyte transcriptome and BOLD responses to speech differ in autism early language outcome subtypes
published pages: 1680-1688, ISSN: 1097-6256, DOI: 10.1038/s41593-018-0281-3
Nature Neuroscience 21/12 2020-01-30
2018 Juan M. Górriz, Javier Ramírez, F. Segovia, Francisco J. Martínez, Meng-Chuan Lai, Michael V. Lombardo, Simon Baron-Cohen, John Suckling
A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms
published pages: 1850058, ISSN: 0129-0657, DOI: 10.1142/s0129065718500582
International Journal of Neural Systems 2020-01-30
2018 Caroline Mann, Anke Bletsch, Derek Andrews, Eileen Daly, Clodagh Murphy, Declan Murphy, Christine Ecker
The effect of age on vertex-based measures of the grey-white matter tissue contrast in autism spectrum disorder
published pages: , ISSN: 2040-2392, DOI: 10.1186/s13229-018-0232-6
Molecular Autism 9/1 2020-01-30
2019 Michael V. Lombardo, Meng-Chuan Lai, Simon Baron-Cohen
Big data approaches to decomposing heterogeneity across the autism spectrum
published pages: , ISSN: 1359-4184, DOI: 10.1038/s41380-018-0321-0
Molecular Psychiatry 2020-01-30

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