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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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0

 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.

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

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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