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Neural drivers of functional disconnectivity in brain disorders

Total Cost €


EC-Contrib. €






 DisConn project word cloud

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

index    brain    unifying    plasticity    macroscale    resting    schizophrenia    link    regions    models    manipulate    hubs    imbalances    drivers    map    patterns    causal    fostered    cortical    probe    regional    disconnectivity    aberrant    deficits    coupling    fmri    excitatory    recordings    uncover    mouse    almost    advent    psychiatric    populations    generation    awake    substrates    understand    peripheral    physiologically    network    diagnose    invariably    connectopathies    mechanisms    mysterious    pathophysiological    shared    elucidate    neural    neurophysiological    developmental    hierarchical    interpretable    learning    synaptic    breakdown    inhibitory    pave    organization    back    description    vulnerable    revealed    expanding    occurrence    hallmark    basis    manipulations    cellular    relationships    drives    severe    events    directionally    neuroimaging    disorders    silencing    combination    spontaneous    rsfmri    canonical    disruption    perturbational    translation    functional    treat    communication    autism    synchronization    co    impaired    disrupted    mechanistic    connectivity   

Project "DisConn" data sheet

The following table provides information about the project.


Organization address
address: VIA MOREGO 30
city: GENOVA
postcode: 16163

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 1˙498˙125 €
 EC max contribution 1˙498˙125 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-02-01   to  2024-01-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

A rapidly expanding approach to understanding neural organization is to map patterns of spontaneous neural activity as an index of functional communication and connectivity across brain regions. Fostered by the advent of neuroimaging methods like resting-state fMRI (rsfMRI), this approach has revealed that functional connectivity is almost invariably disrupted in severe psychiatric disorders, such as autism or schizophrenia. However, the neural basis of such functional disconnectivity remains mysterious. What drives brain-wide functional synchronization? And are there shared pathophysiological mechanisms leading to impaired large-scale neural coupling? This project aims to elucidate the neural drivers of macroscale functional connectivity, as well as its breakdown in brain connectopathies. To achieve this goal, I propose a multi-scale perturbational approach to establish causal relationships between specific neural events and brain-wide functional connectivity via a novel combination of rsfMRI and advanced neural manipulations and recordings in the awake mouse. By directionally silencing functional hubs as well as more peripheral cortical regions, I will provide a hierarchical description of spontaneous network organization that will uncover regional substrates vulnerable to network disruption. I will also manipulate physiologically-distinct excitatory or inhibitory populations to probe a unifying mechanistic link between excitatory/inhibitory imbalances and aberrant functional connectivity. Finally, to account for the hallmark co-occurrence of synaptic deficits and functional disconnectivity in developmental disorders, I will link cellular mechanisms of synaptic plasticity and learning to the generation of canonical and aberrant spontaneous activity patterns. These studies will pave the way to a back-translation of aberrant functional connectivity into interpretable neurophysiological events and models that can help understand, diagnose or treat brain disorders.

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

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