Skip to main content
Go to the home page of the European Commission (opens in new window)
English en
CORDIS - EU research results
CORDIS

Clustering functional connectivity alterations in Autism Spectrum Disorders

Project description

Unveiling sub-types in autism

Autism spectrum disorder (ASD) is a heritable, neurodevelopmental disability affecting social, communication and behavioural functioning, often accompanied by additional co-morbidities. High heterogeneity of its clinical presentation, its unknown underlying pathophysiology, origin and significance of such diversity of its patterns do not allow selection of sub-types to effective clusters. Today that poses a serious challenge to effective early diagnosis and treatment. The EU-funded CANSAS project proposes a deconstruction of the connectional and clinical ASD heterogeneity. It will use translationally relevant mouse brain rsfMRI measurements for the first decomposing of the human ASD rsfMRI datasets into homogeneous subtypes and will recapitulate biologically-validated information provided by direct observation.

Objective

Autism spectrum disorders (ASD) are among the most heritable developmental disorders, associated with a large number of rare genetic alterations. A critical goal of current ASD research is to deconstruct its heterogeneity into clinically homogeneous sub-set of patients, characterized by distinct neurobiological or functional deficits, amenable to precise therapeutic targeting. Fostered by the advent of resting-state fMRI (rsfMRI), human brain mapping has revealed highly heterogeneous patterns of neural synchronization (i.e. “functional connectivity”) in ASD, with evidence of inconsistent, often contrasting, patterns of over- and under-connectivity across patient cohorts. However, the origin and significance of these highly heterogeneous findings remain unclear: does genetic heterogeneity account for the observed network divergences? And can we use functional connectivity fingerprints to cluster ASD into clinically relevant sub-types? The present project leverages translationally-relevant mouse brain rsfMRI measurements to propose a first-of-its-kind decomposition of human ASD rsfMRI datasets into homogeneous sub-types, recapitulating biologically-validated “ground truth” network features identified in the mouse. To this aim, I will use a set of etiologically-relevant rsfMRI fingerprints identified in a unique mouse datasets comprising 20 ASD-associated mutations to guide clustering of a large collection of human rsfMRI datasets. Socio-cognitive profiling will be employed to probe the clinical significance and homogeneity of the identified clusters. I will next combine advanced statistical modelling and gene ontologies to explore the biological underpinnings of each identified connectivity sub-type. These investigations will lead to a novel, etiologically-relevant deconstruction of the connectional and clinical heterogeneity of ASD that may improve patient stratification, guide the identification of dysfunctional pathways and help prediction of treatment response.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

See all projects funded under this funding scheme

Call for proposal

(opens in new window) H2020-MSCA-IF-2018

See all projects funded under this call

Coordinator

FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
Net EU contribution
€ 269 002,56
Address
VIA MOREGO 30
16163 Genova
Italy
Region
Nord-Ovest Liguria Genova
Activity type
Research Organisations
Links
Total cost
€ 269 002,56

Partners (1)