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CANSAS SIGNED

Clustering functional connectivity alterations in Autism Spectrum Disorders

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 CANSAS project word cloud

Explore the words cloud of the CANSAS project. It provides you a very rough idea of what is the project "CANSAS" about.

translationally    resting    spectrum    cluster    gene    mouse    significance    cohorts    critical    profiling    contrasting    asd    ground    neurobiological    origin    autism    functional    combine    rsfmri    validated    divergences    genetic    unclear    clusters    patients    heritable    mutations    deficits    disorders    dysfunctional    recapitulating    first    etiologically    heterogeneous    clustering    socio    clinically    explore    stratification    sub    fingerprints    comprising    cognitive    rare    employed    revealed    fostered    network    ontologies    guide    deconstruction    datasets    homogeneous    heterogeneity    biological    synchronization    connectional    clinical    prediction    probe    mapping    brain    inconsistent    investigations    identification    statistical    therapeutic    underpinnings    truth    treatment    collection    leverages    advent    types    connectivity    fmri    human    homogeneity    patterns    decomposition    alterations    biologically    neural    patient    deconstruct    amenable    precise    developmental   

Project "CANSAS" 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 269˙002 €
 EC max contribution 269˙002 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-GF
 Starting year 2020
 Duration (year-month-day) from 2020-04-01   to  2023-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA IT (GENOVA) coordinator 269˙002.00
2    CHILD MIND INSTITUTE, INC US (NEW YORK) partner 0.00

Map

 Project 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.

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The information about "CANSAS" are provided by the European Opendata Portal: CORDIS opendata.

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