Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

CANSAS

Financiado

Cerrado

Clustering functional connectivity alterations in Autism Spectrum Disorders

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 cli... ver más

30/12/2024

IIT

269K€

Presupuesto del proyecto: 269K€

Líder del proyecto

FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 3 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-12-30

MSCA-IF-2018: Individual Fellowships

I+D

Cerrada hace 6 años

0% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

3 Participantes

IIT

269.00K€ | Lider

CHILD MIND INSTITUTE, INC

Child Mind Institute, Inc.

177.27K€ | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

PCI2019-103712 ALTERACION DE LA COMUNICACION ESPACIO-TEMPORAL ENTRE NEURONA... 190K€ Cerrado

PhenoConnectomics Pheno connectomics of human neurodevelopmental diseases 174K€ Cerrado

COSYN Comorbidity and Synapse Biology in Clinically Overlapping Ps... 6M€ Cerrado

Syn2Psy Synaptic Dysfunction in Neuropsychiatric Disorders 4M€ Cerrado

CANDY Comorbid Analysis of Neurodevelopmental Disorders and Epilep... 6M€ Cerrado

DisConn Neural drivers of functional disconnectivity in brain disord... 1M€ Cerrado

Duración del proyecto: 68 meses Fecha Inicio: 2019-04-02
Fecha Fin: 2024-12-30

Líder del proyecto

FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 269K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores