Skip to main content
Neuropsychopharmacology logoLink to Neuropsychopharmacology
. 2017 Dec 1;43(1):228–229. doi: 10.1038/npp.2017.196

A Translational Model to Assess Sign-Tracking and Goal-Tracking Behavior in Children

Michelle A Joyner 1, Ashley N Gearhardt 1, Shelly B Flagel 2,3,*
PMCID: PMC5719104  PMID: 29192653

Cues or stimuli in the environment can guide behavior in adaptive ways, bringing one in close proximity to valuable resources (for example, food). For some individuals, however, environmental stimuli may acquire inordinate control over behavior and elicit maladaptive tendencies or intrusive thoughts. Thus, the way an individual responds to cues in the environment may be a key determinant of psychopathology. For example, in addiction, relapse is most often triggered by exposure to stimuli (for example, paraphernalia or places) previously associated with the drug-taking experience, and people suffering from post-traumatic stress disorder (PTSD) experience extreme anxiety or flashbacks upon exposure to stimuli reminiscent of a traumatic event. Furthermore, in patients with schizophrenia, psychosis is believed to result from aberrant attribution of motivational salience to environmental stimuli (Kapur, 2003). Such stimuli are able to elicit complex emotional and motivational states via Pavlovian learning, and in recent years we have come to rely on an animal model to better understand these processes (for review see Robinson et al, 2014).

When exposed to a Pavlovian conditioning paradigm wherein the presentation of a lever (conditioned stimulus, CS) is followed by delivery of a food reward (unconditioned stimulus, US), some rats, termed ‘goal-trackers’ (GT), attribute predictive value to the lever-cue and go to the location of food delivery upon cue presentation. Others, termed ‘sign-trackers’ (ST), also attribute incentive salience to the lever-cue, as evidenced by their approach towards the cue and the ability of the cue alone to act as a reinforcer (for review see Robinson et al, 2014). That is, for ST the reward cue attains excessive incentive motivational value and gains inordinate control, leading to maladaptive behaviors. Indeed, relative to GT, ST have also been shown to be more impulsive, more likely to exhibit cue-induced relapse to drug-seeking behavior after relatively little drug exposure, and more susceptible to abnormal fear responses upon exposure to aversive stimuli (for review see Robinson et al, 2014). Thus, examining the translational relevance of the sign-tracker/goal-tracker model may prove critical to our understanding of a number of cue-motivated psychopathologies, including impulse control disorders, addiction and post-traumatic stress disorder.

To-date, little research has directly examined sign- and goal-tracking behavior in humans (Garofalo and di Pellegrino, 2015), and, to our knowledge, none with children. Due to the delayed development of the prefrontal cortex (Casey et al, 2000), children may be more likely to exhibit sign-tracking behavior. Indeed, the lack of cortical control and associated attentional deficits and impulsive behavior evident in children is akin to that characteristic of sign-trackers in the animal literature (for review see Flagel and Robinson, 2017; see also Koshy Cherian et al, 2017). Capturing individual variation in cue-motivated behaviors in children may therefore provide a means to identify risk profiles for psychopathology early in life and thus offer earlier opportunities for intervention. In this regard, we have developed a novel apparatus to investigate sign-tracking and goal-tracking behaviors in children. The Pavlovian conditioning paradigm that we utilize is similar to that used in rodents (Figure 1) and consists of paired presentations of a lever (CS) with the delivery of candy (US). As in the animal paradigm, the children are allowed to freely move and manipulate the apparatus, and interaction with the lever-CS and candy tray are recorded. Using this paradigm, we have been able to observe both sign- and goal-tracking behavior (data not shown; to be published in a full-length manuscript). Ongoing studies are optimizing the behavioral output measures being assessed and examining the relationship between the propensity to exhibit a sign- or goal-tracking response and the development of psychopathology, including substance abuse and overeating. It is hoped that this translational model will prove invaluable for parsing the myriad of factors (for example, developmental, genetic, environmental, neurobiological) that render an individual more susceptible to cue-motivated psychopathologies and lead to novel therapeutic interventions.

Figure 1.

Figure 1

Pavlovian conditioning apparatus and resultant behavior. The Pavlovian conditioning apparatus consists of two child-friendly plastic Lego boxes. The CS box (left) contains a lever, which illuminates and extends from the box. The US box (right) contains a small metal tray into which candy is dispensed. The boxes are powered using an Arduino program controlled by a researcher on a laptop using MATLAB. For each trial, the lever-CS illuminates and extends for 8 s, then darkens and retracts back into the box. Immediately upon CS retraction, the US box dispenses one piece of candy. Subjects are exposed to 4 blocks of 10 trials each. Following each trial is an intertrial interval (ITI) period, lasting 8, 16, 24 o 32 s (randomly chosen). The number of contacts with the lever-CS and US food cup, and the latency with which these occur during CS presentation are all recorded by the MATLAB program. Responses during the ITI are also recorded. Upon completion of each block the children are given a 45-second break.

Funding and Disclosure

This work was supported by funds from the Department of Psychology at the University of Michigan (MAJ and ANG) and funds from the Department of Psychiatry at The University of Michigan (SBF). The authors declare no conflict of interest.

Acknowledgments

We thank Marc Bradshaw for building the testing apparatus and Chris Broussard and Igor Belopolsky for assistance with the computer programming. In addition, we would like to thank Dr. Paolo Campus for generating the schematic in Figure 1.

References

  1. Casey BJ, Giedd JN, Thomas KM (2000). Structural and functional brain development and its relation to cognitive development. Biol Psychol 54: 241–257. [DOI] [PubMed] [Google Scholar]
  2. Flagel SB, Robinson TE (2017). Neurobiological basis of individual variation in stimulus-reward learning. Curr Opin Behav Sci 13: 178–185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Garofalo S, di Pellegrino G (2015). Individual differences in the influence of task-irrelevant Pavlovian cues on human behavior. Front Behav Neurosci 9: 163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Kapur S (2003). Psychosis as a state of aberrant salience: a framework linking biology, phenomenology and pharmacology in schizophrenia. Am J Psychiatry 160: 13–23. [DOI] [PubMed] [Google Scholar]
  5. Koshy Cherian A, Kucinski A, Pitchers K, YEgla B, Parikh V, Kim Y et al (2017). Unresponsive choline transporter as a trait neuromarker and a causal mediator of bottom-up attentional biases. J Neurosci 37: 2947–2959. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Robinson TE, Yager LM, Cogan ES, Saunders BT (2014). On the motivational properties of reward cues: individual differences. Neuropharmacology 76(Part B): 450–459. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Neuropsychopharmacology are provided here courtesy of Nature Publishing Group

RESOURCES