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      Beyond reward prediction errors: the role of dopamine in movement kinematics

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          Abstract

          We recorded activity of dopamine (DA) neurons in the substantia nigra pars compacta in unrestrained mice while monitoring their movements with video tracking. Our approach allows an unbiased examination of the continuous relationship between single unit activity and behavior. Although DA neurons show characteristic burst firing following cue or reward presentation, as previously reported, their activity can be explained by the representation of actual movement kinematics. Unlike neighboring pars reticulata GABAergic output neurons, which can represent vector components of position, DA neurons represent vector components of velocity or acceleration. We found neurons related to movements in four directions—up, down, left, right. For horizontal movements, there is significant lateralization of neurons: the left nigra contains more rightward neurons, whereas the right nigra contains more leftward neurons. The relationship between DA activity and movement kinematics was found on both appetitive trials using sucrose and aversive trials using air puff, showing that these neurons belong to a velocity control circuit that can be used for any number of purposes, whether to seek reward or to avoid harm. In support of this conclusion, mimicry of the phasic activation of DA neurons with selective optogenetic stimulation could also generate movements. Contrary to the popular hypothesis that DA neurons encode reward prediction errors, our results suggest that nigrostriatal DA plays an essential role in controlling the kinematics of voluntary movements. We hypothesize that DA signaling implements gain adjustment for adaptive transition control, and describe a new model of the basal ganglia (BG) in which DA functions to adjust the gain of the transition controller. This model has significant implications for our understanding of movement disorders implicating DA and the BG.

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          Most cited references55

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          Parallel organization of functionally segregated circuits linking basal ganglia and cortex.

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            Modulation of striatal projection systems by dopamine.

            The basal ganglia are a chain of subcortical nuclei that facilitate action selection. Two striatal projection systems--so-called direct and indirect pathways--form the functional backbone of the basal ganglia circuit. Twenty years ago, investigators proposed that the striatum's ability to use dopamine (DA) rise and fall to control action selection was due to the segregation of D(1) and D(2) DA receptors in direct- and indirect-pathway spiny projection neurons. Although this hypothesis sparked a debate, the evidence that has accumulated since then clearly supports this model. Recent advances in the means of marking neural circuits with optical or molecular reporters have revealed a clear-cut dichotomy between these two cell types at the molecular, anatomical, and physiological levels. The contrast provided by these studies has provided new insights into how the striatum responds to fluctuations in DA signaling and how diseases that alter this signaling change striatal function.
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              Neuronal population coding of movement direction.

              Although individual neurons in the arm area of the primate motor cortex are only broadly tuned to a particular direction in three-dimensional space, the animal can very precisely control the movement of its arm. The direction of movement was found to be uniquely predicted by the action of a population of motor cortical neurons. When individual cells were represented as vectors that make weighted contributions along the axis of their preferred direction (according to changes in their activity during the movement under consideration) the resulting vector sum of all cell vectors (population vector) was in a direction congruent with the direction of movement. This population vector can be monitored during various tasks, and similar measures in other neuronal populations could be of heuristic value where there is a neural representation of variables with vectorial attributes.
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                Author and article information

                Contributors
                Journal
                Front Integr Neurosci
                Front Integr Neurosci
                Front. Integr. Neurosci.
                Frontiers in Integrative Neuroscience
                Frontiers Media S.A.
                1662-5145
                27 May 2015
                2015
                : 9
                : 39
                Affiliations
                Department of Psychology and Neuroscience, Department of Neurobiology, Center for Cognitive Neuroscience, Duke University Durham, NC, USA
                Author notes

                Edited by: Elizabeth B. Torres, Rutgers University, USA

                Reviewed by: Sean B. Ostlund, University of California at Irvine School of Medicine, USA; Shinsuke Suzuki, California Institute of Technology, USA

                *Correspondence: Henry H. Yin, Duke University, Genome Sciences Research Building II, 103 Research Drive, Box 91050, Durham, NC 27708, USA hy43@ 123456duke.edu
                Article
                10.3389/fnint.2015.00039
                4444742
                26074791
                16380644-514e-409a-b5bb-f40db9128744
                Copyright © 2015 Barter, Li, Lu, Bartholomew, Rossi, Shoemaker, Salas-Meza, Gaidis and Yin.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 12 April 2015
                : 06 May 2015
                Page count
                Figures: 15, Tables: 1, Equations: 0, References: 76, Pages: 22, Words: 13462
                Categories
                Neuroscience
                Original Research

                Neurosciences
                dopamine,substantia nigra,basal ganglia,movement,reward prediction error,striatum
                Neurosciences
                dopamine, substantia nigra, basal ganglia, movement, reward prediction error, striatum

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