Opendata, web and dolomites


Postural networks: linking cognitive and motor control across the lifespan

Total Cost €


EC-Contrib. €






Project "POSTURENET" data sheet

The following table provides information about the project.


Organization address
address: Minderbroedersberg 4-6
postcode: 6200 MD

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 Netherlands [NL]
 Total cost 187˙572 €
 EC max contribution 187˙572 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2019
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2020
 Duration (year-month-day) from 2020-09-01   to  2022-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Almost every movement we make requires the coordination of multiple muscles. How the central nervous system coordinates these patterns of muscle activity remains largely unknown. Here I propose muscle networks as an innovative and principled approach towards neural interactions underlying coordinated movements and posture to address this outstanding problem. Recent findings show robust patterns of neural coupling across multiple muscles. Application of network theory has brought about a paradigm change in brain research and has been crucial for understanding how neurons and neuronal structures connect and communicate. Here I will extend the approach used to study brain networks to the neuromuscular system and investigate the neural interactions within the brain and spinal cord involved in postural control using network analysis of brain and muscle activity (EEG & EMG). By relating network structure to postural kinematics obtained using 3D motion-capture technology, I will investigate the functional role of postural networks in healthy participants performing postural tasks and to map changes in postural control across the lifespan. Cognitive control and sensorimotor functions will be assessed using standardized test and correlated with network metrics to explain variability in postural control and disentangle their role in organizing of postural networks. By combining advanced computational analyses with state-of-the-art recording techniques, the project will enable reconstructing functional interactions in the distributed motor system from non-invasive recordings. Postural networks hence offer a promising new perspective on a long-standing open question in movement neuroscience. The expertise of my supervisors and the excellent facilities at Maastricht University provide an ideal environment in which to conduct this project and establish my own research group at a leading research institute in Europe.

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

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