Event Abstract Back to Event Does Parkinson’s disease make subjects less Bayesian? Iris Vilares1*, James D. Howard2 and Konrad Körding1, 3, 4 1 Northwestern University and Rehabilitation Institute of Chicago, Department of Physical Medicine and Rehabilitation, United States 2 Northwestern University, Department of Neurology, United States 3 Northwestern University, Department of Physiology, United States 4 Northwestern University, Department of Applied Mathematics, United States Uncertainty shapes our perception of the world and the decisions we make. Two aspects of uncertainty are commonly distinguished: uncertainty in previously acquired knowledge (prior) and in current sensory information (likelihood). Several behavioral studies have shown that healthy subjects can often integrate information from both of these sources in a way that is close to the statistically optimal, combining them according to their respective uncertainties. However, it is still unclear how these parameters are represented in the brain. Recent work in our lab found that increased prior uncertainty was associated with stronger activations in the putamen. Furthermore, on a subject-by-subject basis, the magnitude of prior-related brain activity in the putamen significantly predicted individuals’ personal tendencies to rely more on prior or current information. These results led us hypothesize that putamen may play a critical role in signaling prior uncertainty and thus in deciding on how much weight to place in prior vs current information. To more directly address this hypothesis, we asked Parkinson Disease (PD) patients to perform a perceptual decision-making task, while varying prior and likelihood uncertainty. PD patients, because of the loss of dopamine-producing neurons, have strong deficits in information transmission from the putamen. Hence, we hypothesized that they would perform sub-optimally, not taking correctly into account prior uncertainty. Preliminary results suggest that this is indeed what happens. Together, our results suggest a causal role of putamen and/or dopamine in transmitting prior uncertainty, and shed a light into the mechanisms that might allow human Bayesian-optimal behavior. Keywords: Bayesian decision theory, Parkinson's disease, Visual Perception Conference: Neural Coding, Decision-Making & Integration in Time, Rauischholzhausen, Germany, 26 Apr - 29 Apr, 2012. Presentation Type: Poster Presentation Topic: Neural Coding, Decision-Making & Integration in Time Citation: Vilares I, Howard JD and Körding K (2012). Does Parkinson’s disease make subjects less Bayesian?. Front. Neurosci. Conference Abstract: Neural Coding, Decision-Making & Integration in Time. doi: 10.3389/conf.fnins.2012.86.00020 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 12 Jan 2012; Published Online: 16 Jan 2012. * Correspondence: Ms. Iris Vilares, Northwestern University and Rehabilitation Institute of Chicago, Department of Physical Medicine and Rehabilitation, Chicago, United States, irisvilares@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Iris Vilares James D Howard Konrad Körding Google Iris Vilares James D Howard Konrad Körding Google Scholar Iris Vilares James D Howard Konrad Körding PubMed Iris Vilares James D Howard Konrad Körding Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.
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