Resting-state brain activation patterns and network topology distinguish human sign and goal trackers-Reference-Cited by-同舟云学术

Resting-state brain activation patterns and network topology distinguish human sign and goal trackers

Published:2023-11-26 Issue: Volume: Page:
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Author:

Schettino Martino¹^ORCID,Mauti Marika²^ORCID,Parrillo Chiara³,Ceccarelli Ilenia⁴,Giove Federico⁵^ORCID,Napolitano Antonio³,Ottaviani Crisitina¹^ORCID,Martelli Marialuisa⁶,Orsini Cristina⁶

Affiliation:

1. Department of Psychology, Sapienza University of Rome, Rome, Italy; IRCCS Santa Lucia Foundation, Rome, Italy

2. Department of Psychology, Sapienza University of Rome, Rome, Italy; Area of Neuroscience, SISSA, Trieste, Italy

3. Bambino Gesù Children’s Hospital, Rome, Italy

4. Department of Medical and Surgical Sciences, University of Bologna, Italy

5. IRCCS Santa Lucia Foundation, Rome, Italy; Centro di Studi e Ricerche Enrico Fermi, Rome, Italy

6. Department of Psychology, Sapienza University of Rome, Rome, Italy

Abstract

Abstract The Sign-Tracking/Goal-tracking (ST/GT) is an animal model of individual differences in cue-reward learning offering a translational approach to investigate the vulnerability to impulse control disorders. In the present study, we mapped such model onto humans, on the one hand by adopting a new translational relevant Pavlovian paradigm and on the other by investigating resting state functional magnetic resonance imaging correlates in individuals categorized as more disposed to ST or GT. To do so, eye-tracking was used to classify humans as prone to STs (n = 36) or GTs (n = 35) or as intermediates (n = 33), depending on their eye-gaze towards the reward-related cue versus the reward location. Using both connectivity and network-based approach, measures of resting state functional connectivity and centrality (role of a node as a hub) replicated preclinical findings, suggesting a major involvement of subcortical areas in the ST phenotype, and a more cortical involvement in the GT phenotype. Overall, the study strengthens the translational value of the ST/GT model, with important implications for the early identification of vulnerable phenotypes for psychopathological conditions such as substance use disorder. Martino Schettino and Marika Mauti share co-first authorship.

Publisher

Research Square Platform LLC

Reference58 articles.

1. Dissociating the predictive and incentive motivational properties of reward-related cues through the study of individual differences;Robinson TE;Biol Psychiatry,2009

2. On the motivational properties of reward cues: individual differences;Robinson TE;Neuropharmacol,2014

3. A selective role for dopamine in stimulus-reward learning;Flagel SB;Nature,2011

4. Modelling individual differences in the form of Pavlovian conditioned approach responses: a dual learning systems approach with factored representations;Lesaint F;PLoS Comput Biol,2015

5. Clark JJ, Hollon NG, Phillips PEM. Pavlovian valuation systems in learning and decision making. Curr Op Neurobiol http://dx.doi.org/10.1016/j.conb.2012.06.004 (2012).