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

The "Sign-tracker/Goal-tracker" (ST/GT) is an animal model of individual differences in learning and motivational processes attributable to distinctive conditioned responses to environmental cues. While GT rats value the reward-predictive cue as a mere predictor, ST rats attribute it with incentive salience, engaging in aberrant reward-seeking behaviors that mirror those of impulse control disorders. Given its potential clinical value, the present study aimed to map such model onto humans and investigated resting state functional magnetic resonance imaging correlates of individuals categorized as more disposed to sign-tracking or goal-tracking behavior. To do so, eye-tracking was used during a translationally informed Pavlovian paradigm to classify humans as STs (n = 36) GTs (n = 35) or as Intermediates (n = 33), depending on their eye-gaze towards the reward-predictive cue or the reward location. Using 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 STs, and dominant cortical involvement in GTs. 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.

Authors

Institutions

Publication Details

Journal
Translational Psychiatry
Published
2024-10-22
DOI
https://doi.org/10.1038/s41398-024-03162-w
Citations
7
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
2.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Ilenia Ceccarelli, Cristina Orsini, Chiara Parrillo, Marika Mauti et al.
7 citations
Translational Psychiatry
Functional Brain Connectivity Studies
2.40
article

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

Ilenia Ceccarelli, Cristina Orsini, Chiara Parrillo, Marika Mauti, Marialuisa Martelli, Cristina Ottaviani, Federico Giove, Antonio Napolitano, Martino Schettino
article en
7 citations

Abstract

The "Sign-tracker/Goal-tracker" (ST/GT) is an animal model of individual differences in learning and motivational processes attributable to distinctive conditioned responses to environmental cues. While GT rats value the reward-predictive cue as a mere predictor, ST rats attribute it with incentive salience, engaging in aberrant reward-seeking behaviors that mirror those of impulse control disorders. Given its potential clinical value, the present study aimed to map such model onto humans and investigated resting state functional magnetic resonance imaging correlates of individuals categorized as more disposed to sign-tracking or goal-tracking behavior. To do so, eye-tracking was used during a translationally informed Pavlovian paradigm to classify humans as STs (n = 36) GTs (n = 35) or as Intermediates (n = 33), depending on their eye-gaze towards the reward-predictive cue or the reward location. Using 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 STs, and dominant cortical involvement in GTs. 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.

Translational PsychiatryVol. 14(1)
Scuola Internazionale Superiore di Studi Avanzati (IT), Centro Ricerche Enrico Fermi (IT), Istituto delle Scienze Neurologiche di Bologna (IT), Bambino Gesù Children's Hospital (IT), Fondazione Santa Lucia (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Sapienza University of Rome (IT), University of Bologna (IT)
Reduced inequalities
Openalex Percentile: Top 11%
Functional Brain Connectivity Studies
2.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.