Art for reward's sake: Visual art recruits the ventral striatum

A recent study showed that people evaluate products more positively when they are physically associated with art images than similar non-art images. Neuroimaging studies of visual art have investigated artistic style and esthetic preference but not brain responses attributable specifically to the artistic status of images. Here we tested the hypothesis that the artistic status of images engages reward circuitry, using event-related functional magnetic resonance imaging (fMRI) during viewing of art and non-art images matched for content. Subjects made animacy judgments in response to each image. Relative to non-art images, art images activated, on both subject- and item-wise analyses, reward-related regions: the ventral striatum, hypothalamus and orbitofrontal cortex. Neither response times nor ratings of familiarity or esthetic preference for art images correlated significantly with activity that was selective for art images, suggesting that these variables were not responsible for the art-selective activations. Investigation of effective connectivity, using time-varying, wavelet-based, correlation-purged Granger causality analyses, further showed that the ventral striatum was driven by visual cortical regions when viewing art images but not non-art images, and was not driven by regions that correlated with esthetic preference for either art or non-art images. These findings are consistent with our hypothesis, leading us to propose that the appeal of visual art involves activation of reward circuitry based on artistic status alone and independently of its hedonic value.

[1]  Helmut Leder,et al.  Functional neuroanatomy of the perception of modern art: A DC–EEG study on the influence of stylistic information on aesthetic experience , 2007, Brain Research.

[2]  Di Dio Cinzia,et al.  Neuroaesthetics: a review , 2009, Current Opinion in Neurobiology.

[3]  Xiaoping Hu,et al.  Multivariate Granger Causality Analysis of Brain Networks , 2007 .

[4]  James Theiler,et al.  Testing for nonlinearity in time series: the method of surrogate data , 1992 .

[5]  Tim Ambler,et al.  What can advertisers learn from neuroscience? , 2007 .

[6]  Sharon L. Thompson-Schill,et al.  Item analysis in functional magnetic resonance imaging , 2007, NeuroImage.

[7]  Hooman Ganjavi,et al.  Hypocretin/Orexin: a molecular link between sleep, energy regulation, and pleasure. , 2007, The Journal of neuropsychiatry and clinical neurosciences.

[8]  Pierre Bourdieu For the Love of Art: , 2021, Rembrandt, Vermeer, and the Gift in Seventeenth-Century Dutch Art.

[9]  P. Kenning,et al.  How Neuroscience Can Inform Consumer Research , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[10]  G. Loewenstein,et al.  Neural Predictors of Purchases , 2007, Neuron.

[11]  Karl J. Friston,et al.  Temporal Difference Models and Reward-Related Learning in the Human Brain , 2003, Neuron.

[12]  Marcos Nadal,et al.  Towards a framework for the study of the neural correlates of aesthetic preference. , 2008, Spatial vision.

[13]  V. Ramachandran A Brief Tour of Human Consciousness: From Impostor Poodles to Purple Numbers , 2004 .

[14]  João Ricardo Sato,et al.  A method to produce evolving functional connectivity maps during the course of an fMRI experiment using wavelet-based time-varying Granger causality , 2006, NeuroImage.

[15]  M. Preul The Human Brain: Surface, Blood Supply, and Three-Dimensional Sectional Anatomy , 2001 .

[16]  Rainer Goebel,et al.  Mapping directed influence over the brain using Granger causality and fMRI , 2005, NeuroImage.

[17]  A. Villringer,et al.  Role of ventral striatum in reward-based decision making , 2007, Neuroreport.

[18]  Qin Yang,et al.  Evaluation of the effective connectivity of supplementary motor areas during motor imagery using Granger causality mapping , 2009, NeuroImage.

[19]  Xiaoping Hu,et al.  Neural processing underlying tactile microspatial discrimination in the blind: a functional magnetic resonance imaging study. , 2008, Journal of vision.

[20]  R. Nebes,et al.  Reliability and validity of some handedness questionnaire items. , 1974, Neuropsychologia.

[21]  H. Leder,et al.  A model of aesthetic appreciation and aesthetic judgments. , 2004, British journal of psychology.

[22]  W. Schultz Behavioral theories and the neurophysiology of reward. , 2006, Annual review of psychology.

[23]  Michael Rotte,et al.  Favorite brands as cultural objects modulate reward circuit , 2007, Neuroreport.

[24]  H. H. Clark The language-as-fixed-effect fallacy: A critique of language statistics in psychological research. , 1973 .

[25]  L. Pessoa,et al.  Neural Correlates of Perceptual Choice and Decision Making during Fear–Disgust Discrimination , 2007, The Journal of Neuroscience.

[26]  Henrik Walter,et al.  Cultural objects modulate reward circuitry , 2002, Neuroreport.

[27]  G. Rizzolatti,et al.  The Golden Beauty: Brain Response to Classical and Renaissance Sculptures , 2007, PloS one.

[28]  M. Torrens Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268 , 1990 .

[29]  S Li,et al.  Three‐dimensional mapping of the static magnetic field inside the human head , 1996, Magnetic resonance in medicine.

[30]  Oliver J. Hulme,et al.  Modulation of aesthetic value by semantic context: An fMRI study , 2009, NeuroImage.

[31]  C. Mirasso,et al.  Sex-related similarities and differences in the neural correlates of beauty , 2009, Proceedings of the National Academy of Sciences.

[32]  Oshin Vartanian,et al.  Neuroanatomical correlates of aesthetic preference for paintings , 2004, Neuroreport.

[33]  Xiaoping Hu,et al.  Multivariate Granger causality analysis of fMRI data , 2009, Human brain mapping.

[34]  R. Elliott,et al.  Differential Response Patterns in the Striatum and Orbitofrontal Cortex to Financial Reward in Humans: A Parametric Functional Magnetic Resonance Imaging Study , 2003, The Journal of Neuroscience.

[35]  David A. Medler,et al.  Neural correlates of sensory and decision processes in auditory object identification , 2004, Nature Neuroscience.

[36]  Simon Hong,et al.  New Insights on the Subcortical Representation of Reward This Review Comes from a Themed Issue on Cognitive Neuroscience Edited Lateral Habenula Serotonin Neurons , 2022 .

[37]  Henrik Hagtvedt,et al.  Art Infusion: The Influence of Visual Art on the Perception and Evaluation of Consumer Products , 2008 .

[38]  Dahlia W. Zaidel,et al.  Neuropsychology of Art: Neurological, Cognitive, and Evolutionary Perspectives , 2013 .

[39]  Xiaoping Hu,et al.  Effective connectivity during haptic perception: A study using Granger causality analysis of functional magnetic resonance imaging data , 2008, NeuroImage.

[40]  Jonathan D. Cohen,et al.  Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold , 1995, Magnetic resonance in medicine.

[41]  Xiaoping Hu,et al.  Object familiarity modulates effective connectivity during haptic shape perception , 2010, NeuroImage.

[42]  S. Zeki,et al.  Neural correlates of beauty. , 2004, Journal of neurophysiology.

[43]  Ulrich Kirk,et al.  The Neural Basis of Object-Context Relationships on Aesthetic Judgment , 2008, PloS one.

[44]  Wei Liao,et al.  Nonlinear connectivity by Granger causality , 2011, NeuroImage.

[45]  Thomas E. Wartenberg The nature of art : an anthology , 2012 .

[46]  Vincent P. Clark,et al.  Orthogonal Polynomial Regression for the Detection of Response Variability in Event-Related fMRI , 2002, NeuroImage.

[47]  Tobias Sommer,et al.  Subregions of the ventral striatum show preferential coding of reward magnitude and probability , 2007, NeuroImage.

[48]  Xiaoping Hu,et al.  Assessing and Compensating for Zero-Lag Correlation Effects in Time-Lagged Granger Causality Analysis of fMRI , 2010, IEEE Transactions on Biomedical Engineering.

[49]  Stanley L. Sclove,et al.  Estimation and classification of fMRI hemodynamic response patterns , 2004, NeuroImage.

[50]  A. Rodríguez-Fornells,et al.  Reward Networks in the Brain as Captured by Connectivity Measures , 2009, Front. Neurosci..

[51]  C. Granger Investigating causal relations by econometric models and cross-spectral methods , 1969 .

[52]  Mingzhou Ding,et al.  Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance , 2001, Biological Cybernetics.

[53]  W. Schultz,et al.  Learning-Related Human Brain Activations Reflecting Individual Finances , 2007, Neuron.

[54]  Alberto Fernández,et al.  Activation of the prefrontal cortex in the human visual aesthetic perception. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[55]  P. Bourdieu,et al.  The Love of Art: European Art Museums and Their Public , 1992 .

[56]  J. O'Doherty,et al.  Reward representations and reward-related learning in the human brain: insights from neuroimaging , 2004, Current Opinion in Neurobiology.

[57]  Scott L. Fairhall,et al.  Neural correlates of object indeterminacy in art compositions , 2008, Consciousness and Cognition.

[58]  Xiaoping Hu,et al.  Posteromedial Parietal Cortical Activity and Inputs Predict Tactile Spatial Acuity , 2007, The Journal of Neuroscience.

[59]  I. Daubechies Orthonormal bases of compactly supported wavelets , 1988 .

[60]  M. Rugg,et al.  Separating the Brain Regions Involved in Recollection and Familiarity in Recognition Memory , 2005, The Journal of Neuroscience.

[61]  Colin Camerer,et al.  Dissociating the Role of the Orbitofrontal Cortex and the Striatum in the Computation of Goal Values and Prediction Errors , 2008, The Journal of Neuroscience.

[62]  Xiaoping Hu,et al.  Effect of hemodynamic variability on Granger causality analysis of fMRI , 2010, NeuroImage.

[63]  W. Holtzman Fundamental statistics in psychology and education. , 1951 .

[64]  R. Hickman The Art Instinct: Beauty, Pleasure, and Human Evolution , 2010 .

[65]  Martin Skov,et al.  Brain correlates of aesthetic expertise: A parametric fMRI study , 2009, Brain and Cognition.