A NETWORK APPROACH TO UNDERSTAND THE NEUROBIOLOGY OF DISTRIBUTED PRACTICE EFFECT

Anno
2020
Proponente Andrea Mele - Professore Ordinario
Sottosettore ERC del proponente del progetto
LS5_5
Componenti gruppo di ricerca
Componente Categoria
Roberta Lattanzi Componenti strutturati del gruppo di ricerca / Structured participants in the research project
Sabrina Donatella Sonia Venditti Componenti strutturati del gruppo di ricerca / Structured participants in the research project
Aldo Badiani Componenti strutturati del gruppo di ricerca / Structured participants in the research project
Giorgio Camilloni Componenti strutturati del gruppo di ricerca / Structured participants in the research project
Componente Qualifica Struttura Categoria
Eleonora Centofante Post-doc CNR Altro personale aggregato Sapienza o esterni, titolari di borse di studio di ricerca / Other aggregate personnel Sapienza or other institution, holders of research scholarships
Abstract

The spacing of training experiences is known to lead to more robust memory formation as compared to training experiences with short time intervals. However, the neurological mechanisms underlying this rather counterintuitive phenomenon are still unknown. Here, we propose that the benefit of spaced training experience is supported by distinctive cellular properties within specific neuronal circuits.
To deepen this hypothesis, based on preliminary results demonstrating differential involvement of distinct striatal domain in the encoding and retrieval of information acquired through massed and spaced training, we will first try to understand pre- and post-synaptic contributions of corticostriatal parallel loops to this process. Next we will build a whole brain functional wiring diagram of spatial memory acquired through spaced and massed training. This should provide a holistic view of brain circuits activity revealing the network logic sustaining differences in training efficacy. Network analysis by graph theory tools will determine crucial nodes in the circuit and will put us in a position to selectively intervene on memory processing, by loss and gain of function manipulations. In particular, once identified hub regions essential in the spaced learning circuit by artificially priming neuronal ensemble in the region, by means of optogenetic stimulation, we will try to favour the formation of longer lasting memories after massed training.

ERC
LS5_5, LS5_2, LS5_1
Keywords:
NEUROSCIENZE, NEUROSCIENZE COMPORTAMENTALI, RETI NEURALI, COGNIZIONE SPAZIALE, MEMORIA

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