Research

Examples of fUS imaging in a rostral (left) and sagittal (right) plans in an anaesthetized rat. The double correlation matrices on the right shows the correlation in fUS signal during the 10 min of acquisition in the regions of interest designated in the pictures.

In the field of neuroimaging, studies of functional connectivity (FC) have revealed important new insights in various neurological and psychiatric disorders. FC is a set of temporally correlated haemodynamic fluctuations that defines a neuronal network. FC can be studied by several techniques, such as EEG, MEG, fMRI, and fUS imaging and a large number of studies have described in human and rodents the existence of major networks delineated by FC: the default-mode network (DMN), somatosensory, visual, auditive and salience networks.

In neurological conditions, such as chronic pain, the study of FC using ultrafast ultrasound (fUS) imaging, is a unique approach to study the alterations in local hemodynamic responses and the alterations in all the brain networks at rest or during tasks.

We believe that plastic changes in the activation and coherent de-activation of the diverse networks are underlying the emotional and cognitive alterations observed in chronic pain conditions, and also the reason for the development of co-morbidities.

The aim of our current research project is to study the changes of spinal and cerebral networks (through the analysis of functional connectivity) in animal models of chronic pain disorders and to identify molecular mechanisms that may underlie such alterations.

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News

At the International Symposium NeuroFrance 2017, which took place from 17 to 19 May 2017 at the Palais des Congrès in Bordeaux, the PNA team (...) 

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National and international collaborations

Institut Langevin, Paris M. Tanter INSERM U766, Clermont Ferrand F. Marchand et A. Eschalier Strasbourg I. Yalcin Institut de (...) 

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Practical information

Unit Director
Thomas Preat
thomas.preat (arobase) espci.fr

Administrator chief
Stéphanie Ledoux
stephanie.ledoux (arobase) espci.fr

Administrator
Tu-Khanh Nguyen
tu-khanh.nguyen (arobase) espci.fr

Phone : +33 (0) 1 40 79 43 02

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