Philippe Domenech PHU
We seek to understand how neural networks in the brain produce complex cognition. Specifically we take established knowledge about simple systems in the brain and understand how it can be applied to higher cognitive functions, often referred to as executive functions. These are functions that allow flexible behaviours that can be readily adapted in volatile environments. So for example neural firing rate, neural synchronization and oscillations are mechanisms by which the brain stores, transmits, and manipulates distributed information in simple perceptual functions. But how these mechanisms apply to higher cognitive functions it little understood.
We know that executive functions require appropriate interactions between large-scale neural networks, as well as modulation by monoaminergic systems. Our research targets the mechanisms of these processes, in particular in primate species. Executive functions, and their neural bases, have unique characteristics in primate species, and in humans in particular.
Our current projects aim at exploring how cognitive processes are specified by neural activity and dynamical interactions between frontal cortical areas, how neuromodulation contributes, and how network interactions change during adaptive behaviours. The frontal cortex has particularly evolved across mammals and in primates in particular. Our research also seeks to identify anatomical and functional principles of the frontal cortex that are conserved or that differ between primate species. Finally, we study the neural basis of the acquisition of these executive processes. We want to understand how the way in which executive functions are learned and acquired in the brain influences later cognition, with implications in a number of fields.
To address these questions we use multiple techniques (anatomy of connectivity, multiple-microelectrodes, ECoG, EEG, fMRI) to describe the anatomy and function of networks involved in higher cognitive functions in primates. We therefore employ a multi-level and comparative approach to studying cognitive processes. We build upon methods and techniques established at SBRI, as well as developing new theoretical, anatomical and technological approaches in collaboration with colleagues all over the world.
|2016||7:11990||Specific frontal neural dynamics contribute to decisions to check||Stoll FM, Fontanier V, Procyk E||Nat Commun||-|
|2016||14(11):e1002576||Prefrontal Markers and Cognitive Performance Are Dissociated during Progressive Dopamine Lesion||Wilson CR, Vezoli J, Stoll FM, Faraut MC, Leviel V, Knoblauch K, Procyk E||PLoS Biol|
|2016||26(4):1715-32||The Effects of Cognitive Control and Time on Frontal Beta Oscillations||Stoll FM, Wilson CR, Faraut MC, Vezoli J, Knoblauch K, Procyk E||Cereb Cortex||-|
|2016||26(2):467-76||Midcingulate Motor Map and Feedback Detection: Converging Data from Humans and Monkeys||Procyk E, Wilson CR, Stoll FM, Faraut MC, Petrides M, Amiez C||Cereb Cortex|
|2015||25(9):3197-218||Behavioral Regulation and the Modulation of Information Coding in the Lateral Prefrontal and Cingulate Cortex||Khamassi M, Quilodran R, Enel P, Dominey PF, Procyk E||Cereb Cortex|
|2014||24(3):563-78||Neuroimaging evidence of the anatomo-functional organization of the human cingulate motor areas||Amiez C, Petrides M||Cereb Cortex||-|
|2013||33(5):2217-28||The location of feedback-related activity in the midcingulate cortex is predicted by local morphology||Amiez C, Neveu R, Warrot D, Petrides M, Knoblauch K, Procyk E||J Neurosci||-|
|2008||57(2):314-25||Behavioral shifts and action valuation in the anterior cingulate cortex||Quilodran R, Rothé M, Procyk E||Neuron|
|2006||16(7):1040-55||Reward encoding in the monkey anterior cingulate cortex||Amiez C, Joseph JP, Procyk E||Cereb Cortex|
|2005||21(12):3447-52||Anterior cingulate error-related activity is modulated by predicted reward||Amiez C, Joseph JP, Procyk E||Eur J Neurosci|