Applying Reinforcement Meta-Learning framework to precision medicine of major depressive disorder - Achlys (DUS.AD016.135)

Area tematica

Scienze umane e sociali, patrimonio culturale

Area progettuale

Struttura responsabile del progetto di ricerca

Istituto di scienze e tecnologie della cognizione (ISTC)

Responsabile di progetto

MASSIMO SILVETTI
Telefono: 0644595231
E-mail: massimo.silvetti@istc.cnr.it

Abstract

Major depressive disorder (MDD) is a debilitating psychiatric disorder with high prevalence and high social and economic burden. Given its severe impact on public health, this is one of the most investigated psychiatric disorders. Nonetheless there is still a lack of comprehensive theory integrating the multifaceted findings on MDD pathophysiology, explaining how cortical-subcortical components interact to contribute to depressive symptoms and how neural dynamics interact with the environment for the development of this disorder. Achlys is a research project exploiting the most recent advancement in computational modeling (based on Reinforcement Meta-Learning framework) of prefrontal circuits and subcortical monoamine nuclei for investigating the pathophysiology of unipolar depression. Achlys will combine neuro-computational modeling with model-based neuroimaging techniques and infrared pupillometry, to provide a complete computational theory of.

Obiettivi

studio delle basi patologiche della depressione maggiore, sviluppo di software per assistenza alla diagnosi e alla terapia.

Data inizio attività

01/01/2021

Parole chiave

depressive disorder, psychiatric disorders, computational modeling

Ultimo aggiornamento: 04/05/2024