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.

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

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.)

RipGEESE (2020)

Identifying the ripples of gene regulation evolution in the evolution of gene sequences to determine when animal nervous systems evolved

Read More  

DEF2DEV (2019)

Identification of the mode of action of plant defensins during root development and plant defense responses.

Read More  

GrowthDevStability (2020)

Characterization of the developmental mechanisms ensuring a robust symmetrical growth in the bilateral model organism Drosophila melanogaster

Read More