Opendata, web and dolomites

CANSAS SIGNED

Clustering functional connectivity alterations in Autism Spectrum Disorders

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CANSAS" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

MetAeAvIm (2019)

The Role of the Metabolism in Mosquito Immunity against Dengue virus in Aedes aegypti

Read More  

InBPSOC (2020)

Increases biomass production and soil organic carbon stocks with innovative cropping systems under climate change

Read More  

SingleCellAI (2019)

Deep-learning models of CRISPR-engineered cells define a rulebook of cellular transdifferentiation

Read More