""""""""Characterizing habitual and goal-directed behavioral control systems in the human brain using computational and multivariate fMRI"""""""". PI: Dr. John P. O'Doherty Institution: California Institute of Technology PROJECT SUMMARY While much is now known about the behavioral and neural mechanisms underlying goal-directed and habitual learning in rodents, much less is known about the brain structures involved in encoding the associations that support these two types of learning humans, and even less is known about the neural computations underlying their implementation. Even more critically, almost nothing is known about the mechanisms governing the transition in behavioral control between these two systems in humans. This project seeks to address these critical gaps in knowledge. To achieve this we will combine sophisticated behavioral protocols, inspired by animal studies of instrumental conditioning, with state-of-the-art fMRI data analysis. We first deploy multivariate pattern analysis techniques in order to establish the nature of associative encoding in candidate brain structures for goal-directed and habit learning such as the vmPFC, anterior and posterior striatum and supplementary motor cortex. Next, we apply sophisticated computational models to our behavioral and fMRI data in order to establish the nature of the computations underlying the implementation of these forms of learning in these brain areas. Once a clearer understanding of the neural implementation of goal-directed and habitual learning has been achieved, we turn our attention to the factors governing habitization, and to the neural systems involved in mediating the control of the habitual and goal-directed systems over behavior. For this we will apply a novel experimental paradigm developed in our laboratory that can induce behavioral habitization rapidly in human volunteers without the need for cumbersome over-training or other impractical procedures hitherto used to induce habits in humans. By combining this procedure with fMRI we will be able to directly identify brain structures engaged when behavior is under habitual control. This project will provide new insights into how habitual and goal-directed learning is implemented in the brain, and shed light on the mechanisms underlying the control of these systems over behavior. Ultimately this research has the potential to lead to the development of new mechanisms for inducing habitual control in order to achieve the maintenance of adaptive and healthful behaviors.
A fundamental issue in the search for new behavioral treatments for disorders such as obesity, addiction and other psychiatric diseases is how to habitize behaviors that lead to healthful consequences, and thus ensure their maintenance without dependence on the effortful process of rational decision- making. In spite of substantial evidence from animal conditioning experiments, very little is known about the psychological and neural processes that underlie habitual performance in humans and that determine its dominance over goal- directed action selection. In this proposal we aim to shed light on how habits are processed in the brain, and to investigate the neural mechanism by which habits can come to control human behavior.
|O'Doherty, John P; Cockburn, Jeffrey; Pauli, Wolfgang M (2017) Learning, Reward, and Decision Making. Annu Rev Psychol 68:73-100|
|McNamee, Daniel; Liljeholm, Mimi; Zika, Ondrej et al. (2015) Characterizing the associative content of brain structures involved in habitual and goal-directed actions in humans: a multivariate FMRI study. J Neurosci 35:3764-71|
|Liljeholm, Mimi; Dunne, Simon; O'Doherty, John P (2015) Differentiating neural systems mediating the acquisition vs. expression of goal-directed and habitual behavioral control. Eur J Neurosci 41:1358-71|
|Lee, Sang Wan; O'Doherty, John P; Shimojo, Shinsuke (2015) Neural computations mediating one-shot learning in the human brain. PLoS Biol 13:e1002137|
|O'Doherty, John P (2014) The problem with value. Neurosci Biobehav Rev 43:259-68|
|Lee, Sang Wan; Shimojo, Shinsuke; O'Doherty, John P (2014) Neural computations underlying arbitration between model-based and model-free learning. Neuron 81:687-99|
|Liljeholm, Mimi; Wang, Shuo; Zhang, June et al. (2013) Neural correlates of the divergence of instrumental probability distributions. J Neurosci 33:12519-27|
|Liljeholm, Mimi; Molloy, Ciara J; O'Doherty, John P (2012) Dissociable brain systems mediate vicarious learning of stimulus-response and action-outcome contingencies. J Neurosci 32:9878-86|
|Liljeholm, Mimi; O'Doherty, John P (2012) Contributions of the striatum to learning, motivation, and performance: an associative account. Trends Cogn Sci 16:467-75|