BROVELLI Andrea

Nom : BROVELLI
Prénom : Andrea
Téléphone : 04 91 32 40 31
Fonction : Chercheur
Grade : CR1
Bureau : 3.06

Présentation

Current position
- Chargé de Recherche CR1 CNRS, section 26 « Comportement, Cognition, cerveau »

Education
- 2002 : PhD in Cognitive Neuroscience, SISSA-ISAS, Trieste, Italy
- 1998 : MSc in Physics, Imperal College, London, UK

Research Experience
- 2004-2008 : Post-doc at the INCM, CNRS, Marseille
- 2003-2004 : Post-doc at the ISC, CNRS, Lyon
- 2003 : Post-doc at the Florida Univ, Boca Raton, FL, USA

RESEARCH INTERESTS

I study the brain networks supporting learning. I use multimodal neuroimaging techniques (MEG, iEEG and fMRI) to characaterise the functional connectivity of cortico-cortical and cortico-striatal circuits during learning . My focus is on goal-directed learning and on computational models of reward-based learning. Here is representative publication list :

Functional Connectivity analysis and large-scale brain networks
- Brovelli A, Badier JM, Bonini F, Bartolomei F, Coulon O, Auzias G (2017). Dynamic reconfiguration of visuomotor-related functional connectivity networks . Journal of Neuroscience, 37 (4) 839-853.
- Brovelli A, Chicharro D, Badier J-M, Wang H, Jirsa V (2015). Characterization of cortical networks and corticocortical functional connectivity mediating arbitrary visuomotor mapping. Journal of Neuroscience, 35(37):12643–12658.
- Brovelli A (2012). Statistical analysis of single-trial Granger causality spectra. Computational and Mathematical Methods in Medicine, vol. 2012
- Brovelli A, Ding M, Ledberg A, Chen Y, Nakamura R, Bressler SL (2004). Beta oscillations in a large-scale sensorimotor cortical network : directional influences revealed by Granger causality. Proc. Natl. Acad. Sci. USA. 101:9849-9854.

Reward-based learning : neural bases and computational mechanisms
- Viejo G, Khamassi M, Brovelli A, Girard B (2015). Modelling choice and reaction time during arbitrary visuomotor learning through the coordination of adaptive working memory and reinforcement learning. Front. Behav. Neurosci., 26 August 2015
- Brovelli A, Nazarian B, Meunier M, Boussaoud D (2011). Differential roles of caudate nucleus and putamen during instrumental learning. NeuroImage 57(4):1580-90
- Brovelli A, Laksiri N, Nazarian B, Meunier M, Boussaoud D (2008). Understanding the neural computations of arbitrary visuomotor learning through fMRI and associative learning theory. Cereb Cortex. 18(7):1485-95.

High-gamma activity and functional mapping
- Auzias G, Coulon O, Brovelli A (2016) MarsAtlas : A cortical parcellation atlas for functional mapping Human Brain Mapping 37:1573–1592 (2016)
- Brovelli A, Lachaux JP, Kahane P, Boussaoud D (2005).High gamma frequency oscillatory activity dissociates attention from intention in the human premotor cortex. NeuroImage. 28:154-64.

Software development
- Matlab code for covariance-based Granger causality (Brovelli et al, J Neurosci 2015)
- MarsAtlas (Auzias et al, HBM 2016) has been developed in collaboration with Olivier Coulon and Guillaume Auzias from the MeCa team at the INT and it is currently implemented in BrainVisa 4.5.

Full publication list

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