title: Necessary Contributions of Human Frontal Lobe Subregions to Reward Learning in a Dynamic, Multidimensional Environment.
abstract: Real-world decisions are typically made between options that vary along multiple dimensions, requiring prioritization of the important dimensions to support optimal choice. Learning in this setting depends on attributing decision outcomes to the dimensions with predictive relevance rather than to dimensions that are irrelevant and nonpredictive. This attribution problem is computationally challenging, and likely requires an interplay between selective attention and reward learning. Both these processes have been separately linked to the prefrontal cortex, but little is known about how they combine to support learning the reward value of multidimensional stimuli. Here, we examined the necessary contributions of frontal lobe subregions in attributing feedback to relevant and irrelevant dimensions on a trial-by-trial basis in humans. Patients with focal frontal lobe damage completed a demanding reward learning task where options varied on three dimensions, only one of which predicted reward. Participants with left lateral frontal lobe damage attributed rewards to irrelevant dimensions, rather than the relevant dimension. Damage to the ventromedial frontal lobe also impaired learning about the relevant dimension, but did not increase reward attribution to irrelevant dimensions. The results argue for distinct roles for these two regions in learning the value of multidimensional decision options under dynamic conditions, with the lateral frontal lobe required for selecting the relevant dimension to associate with reward, and the ventromedial frontal lobe required to learn the reward association itself.
  
  
  
  The real world is complex and multidimensional; how do we attribute rewards to predictive features when surrounded by competing cues? Here, we tested the critical involvement of human frontal lobe subregions in a probabilistic, multidimensional learning environment, asking whether focal lesions affected trial-by-trial attribution of feedback to relevant and irrelevant dimensions. The left lateral frontal lobe was required for filtering option dimensions to allow appropriate feedback attribution, while the ventromedial frontal lobe was necessary for learning the value of features in the relevant dimension. These findings argue that selective attention and associative learning processes mediated by anatomically distinct frontal lobe subregions are both critical for adaptive choice in more complex, ecologically valid settings.
authors.affiliation: Montreal Neurological Institute, Department of Neurology & Neurosurgery, McGill University, Montreal, Quebec H3A 2B4, Canada avinash.vaidya@mail.mcgill.ca.
authors.forename: Avinash R
authors.identifier: 0000-0001-5423-5655
authors.initials: AR
authors.lastname: Vaidya
authors.affiliation: Montreal Neurological Institute, Department of Neurology & Neurosurgery, McGill University, Montreal, Quebec H3A 2B4, Canada.
authors.forename: Lesley K
authors.identifier: 0000-0002-9144-092X
authors.initials: LK
authors.lastname: Fellows
mesh_terms: D000368:Aged; D000704:Analysis of Variance; D001288:Attention / Q000502:physiology; D001930:Brain Injuries / Q000150:complications / Q000473:pathology*; D001931:Brain Mapping; D002755:Choice Behavior / Q000502:physiology; D003072:Cognition Disorders; D005133:Eye Movements / Q000502:physiology; D025461:Feedback, Physiological; D005260:Female; D005625:Frontal Lobe / Q000503:physiopathology*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests; D012193:Reversal Learning / Q000502:physiology*; D012201:Reward
keywords: associative learning; attention; decision making; frontal lobe; neuropsychology; value