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

NeuroImage

Volumn 55, Issue 1, 2011, Pages 420-433

  Lacey, Simon ^a   Hagtvedt, Henrik ^b   Patrick, Vanessa M ^c   Anderson, Amy ^a   Stilla, Randall ^a   Deshpande, Gopikrishna ^d   Hu, Xiaoping ^e   Sato, João R ^f   Reddy, Srinivas ^g   Sathian, K ^a,h,i  

^a EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b BOSTON COLLEGE   (United States)

^c UNIVERSITY OF HOUSTON   (United States)

^d AUBURN UNIVERSITY   (United States)

^e GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^f UNIVERSIDADE FEDERAL DO ABC   (Brazil)

^g SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

^h EMORY UNIVERSITY   (United States)

ⁱ ATLANTA VA MEDICAL CENTER   (United States)

Author keywords

Effective connectivity; Esthetic preference; FMRI; Granger causality

Indexed keywords

ADULT; ART; ARTICLE; BRAIN FUNCTION; CORPUS STRIATUM; DECISION MAKING; ESTHETICS; EVOKED RESPONSE; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; HYPOTHALAMUS; MALE; ORBITAL CORTEX; PRIORITY JOURNAL; REWARD; STATISTICAL ANALYSIS; VISUAL ART; VISUAL CORTEX;

CORPUS STRIATUM; FEMALE; HUMANS; MALE; PAINTINGS; RECOGNITION (PSYCHOLOGY); REWARD; VISUAL PERCEPTION; YOUNG ADULT;

EID: 78951480368     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.11.027     Document Type: Article

References (65)

1. Bedny M., Aguirre G.K., Thompson-Schill S.L. Item analysis in functional magnetic resonance imaging. Neuroimage 2007, 35:1093-1102.
2. Binder J.R., Liebenthal E., Possing E.T., Medler D.A., Ward D. Neural correlates of sensory and decision processes in auditory object identification. Nat. Neurosci. 2004, 7:295-301.
3. Bourdieu P., Darbel A. The Love of Art: European Art Museums and their Public 1997, Blackwell, Oxford.
4. Camara E., Rodriguez-Fornells A., Ye Z., Munte T.F. Reward networks in the brain as captured by connectivity measures. Front. Neurosci. 2009, 3:350-362. 10.3389/neuro.01.034.2009.
5. Cela-Conde C.J., Marty G., Maestu F., Ortiz T., Munar E., Fernandez A., Roca M., Rossello J., Quesney F. Activation of the prefrontal cortex in the human visual aesthetic perception. Proc. Natl Acad. Sci. USA 2004, 101:6321-6325.
6. Cela-Conde C.J., Ayala F.J., Munar E., Maestu F., Nadal M., Capo M.A., del Rio D., Lopez-Ibor J.J., Ortiz T., Mirasso C., Marty G. Sex-related similarities and differences in the neural correlates of beauty. Proc. Natl Acad. Sci. USA 2009, 106:3847-3852.
7. Chen H., Yang Q., Liao W., Shen S. Evaluation of the effective connectivity of supplementary motor areas during motor imagery using Granger causality mapping. Neuroimage 2009, 47:1844-1853.
8. Clark H. The language-as-a-fixed-effect fallacy: critique of language statistics in psychological research. J. Verbal Learn. Verbal Behav. 1973, 12:335-359.
9. Clark V.P. Orthogonal polynomial regression for the detection of response variability in event-related fMRI. Neuroimage 2002, 17:344-363.
10. Daubechies I. Orthonormal bases of compactly supported wavelets. Commun. Pure Appl. Math. 1988, 41:909-996.
11. Deshpande G., Hu X., Lacey S., Stilla R., Sathian K. Object familiarity modulates effective connectivity during haptic shape perception. Neuroimage 2010, 49:1991-2000.
12. Deshpande G., Hu X., Stilla R., Sathian K. Effective connectivity during haptic perception: a study using Granger causality of functional magnetic resonance imaging data. Neuroimage 2008, 40:1807-1814.
13. Deshpande G., LaConte S., James G.A., Peltier S., Hu X. Multivariate Granger causality analysis of brain networks. Hum. Brain Mapp. 2009, 30:1361-1373.
14. Deshpande, G., Sathian, K., Hu, X., 2010b. Effect of hemodynamic variability on Granger causality analysis of fMRI. NeuroImage 52, 884-896.
15. Deshpande, G., Sathian, K., Hu, X., 2010c. Assessing and compensating for zero-lag correlation effects in time-lagged Granger causality analysis of fMRI. IEEE Transactions in Biomedical Engineering 57, 1446-1456.
16. Dewey J. "Having an Experience", in John Dewey: The Later Works, 1925-1953, Vol 10: Art as Experience, pp 42-63 Jo Ann Boydston, ed 1989, Southern Illinois University Press, Carbondale.
17. Di Dio C., Gallese V. Neuroaesthetics: a review. Curr. Opin. Neurobiol. 2009, 19:682-687.
18. Di Dio C., Macaluso E., Rizzolatti G. The golden beauty: brain responses to classical and renaissance sculptures. PLoS ONE 2007, 2:e1201.
19. Dutton D. The Art Instinct: Beauty, Pleasure and Human Evolution 2009, Bloomsbury Press, New York.
20. Duvernoy H.M. The Human Brain. Surface, Blood Supply and Three-Dimensional Sectional Anatomy 1999, Springer, New York.
21. Elliott R., Newman J.L., Longe O.A., Deakin J.F.W. Differential response patterns in the striatum and orbitofrontal cortex to financial reward in humans: a parametric functional magnetic resonance imaging study. J. Neurosci. 2003, 23:303-307.
22. Erk S., Spitzer M., Wunderlich A.P., Galley L., Walter H. Cultural objects modulate reward circuitry. NeuroReport 2002, 13:2499-2503.
23. Fairhall S.L., Ishai A. Neural correlates of object indeterminacy in art compositions. Conscious. Cogn. 2008, 17:923-932.
24. Forman S.D., Cohen J.D., Fitzgerald M., Eddy W.F., Mintun M.A., Noll D.C. Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold. Magn. Reson. Imaging Med. 1995, 33:636-647.
25. Ganjavi H., Shapiro C.M. Hypocretin/orexin: a molecular link between sleep, energy regulation and pleasure. J. Neuropsychiatry Clin. Neurosci. 2007, 19:413-419.
26. Gibbons R.D., Lazar N.A., Bhaumik D.K., Sclove S.L., Chen H.Y., Thulborn K.R., Sweeney J.A., Hur K., Patterson D. Estimation and classification of fMRI hemodynamic response patterns. Neuroimage 2004, 22:804-814.
27. Granger C.W.J. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 1969, 37:424-438.
28. Guilford J.P. Fundamental Statistics in Psychology and Education 1965, McGraw Hill, New York.
29. Hagtvedt H., Patrick V.M. Art infusion: the influence of visual art on the perception and evaluation of consumer products. J. Mark. Res. 2008, 45:379-389.
30. Hare T.A., O'Doherty J., Camerer C.F., Schultz W., Rangel A. Dissociating the role of the orbitofrontal cortex and the striatum in the computation of goal values and prediction errors. J. Neurosci. 2008, 28:5623-5630.
31. Heekeren H.R., Wartenburger I., Marschner A., Mell T., Villringer A., Reischies F.M. Role of ventral striatum in reward-based decision making. NeuroReport 2007, 18:951-955.
32. Hikosaka O., Bromberg-Martin E., Hong S., Matsumoto M. New insights on the subcortical representation of reward. Curr. Opin. Neurobiol. 2008, 18:203-208.
33. Kaminski M., Ding M., Truccolo W.A., Bressler S.L. Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance. Biol. Cybern. 2001, 85:145-157.
34. Kawabata H., Zeki S.J. Neural correlates of beauty. J. Neurophysiol. 2004, 91:1699-1705.
35. Kenning P., Plassmann H. How neuroscience can inform consumer research. IEEE Trans. Neural Syst. Rehabil. Eng. 2008, 16:532-538.
36. Kirk U. The neural basis of object-context relationships on aesthetic judgment. PLoS ONE 2008, 3:e3754. doi:10.1371/journal.pone.0003754.
37. Kirk U., Skov M., Hulme O., Christensen M.S., Zeki S. Modulation of aesthetic value by semantic context: an fMRI study. Neuroimage 2009, 44:1125-1132.
38. Kirk U., Skov M., Christensen M.S., Nygaard N. Brain correlates of aesthetic expertise: a parametric fMRI study. Brain Cogn. 2009, 69:306-315.
39. Knutson B., Rick S., Wimmer G.E., Prelec D., Loewenstein G. Neural predictors of purchases. Neuron 2007, 53:147-156.
40. Leder H., Belke B., Oeberst A., Augustin D. A model of aesthetic appreciation and aesthetic judgments. Br. J. Psychol. 2004, 95:489-508.
41. Lengger P.G., Fischmeister F.Ph.S., Leder H., Bauer H. Functional neuroanatomy of the perception of modern art: a DC-EEG study on the influence of stylistic information on aesthetic experience. Brain Res. 2007, 1158:93-102.
42. Li S., Dardzinski B.J., Collins C.M., Yang Q.X., Smith M.B. Three-dimensional mapping of the static magnetic field inside the human head. Magn. Reson. Med. 1996, 36:705-714.
43. Marinazzo, D., Liao, W., Chen, H. and Stramaglia, S. (2010). Nonlinear connectivity by Granger causality. NeuroImage, in press. doi:10.1016/j.neuroimage.2010.01.099.
44. Nadal M., Munar E., Capó M.A., Rosselló J., Cela-Conde C.J. Towards a framework for the study of the neural correlates of aesthetic preference. Spat. Vis. 2008, 21:379-396.
45. O'Doherty J. Reward representations and reward-related learning in the human brain: insights from neuroimaging. Curr. Opin. Neurobiol. 2004, 14:769-776.
46. O'Doherty J., Dayan P., Friston K., Critchley H., Dolan R.J. Temporal difference models and reward-related learning in the human brain. Neuron 2003, 28:329-337.
47. Plassmann H., Ambler T., Braeutigam S., Kenning P. What can advertisers learn from neuroscience?. Int. J. Advert. 2007, 26:151-175.
48. Raczkowski D., Kalat J.W., Nebes R. Reliability and validity of some handedness questionnaire items. Neuropsychologia 1974, 12:43-47.
49. Ramachandran V.S. A Brief Tour of Human Consciousness 2004, Pi Press, New York.
50. Roebroeck A., Formisano E., Goebel R. Mapping directed influence over the brain using Granger causality and fMRI. Neuroimage 2005, 25:230-242.
51. Sathian K., Lacey S., Anderson A., Stilla R., Hagtvedt H., Patrick V., Reddy S. Viewing art images activates reward and affective circuitry. Soc. Neurosci. Abstr. 2008, 189:10.
52. Sato J.R., Junior E.A., Takahashi D.Y., de Maria Felix M., Brammer M.J., Morettin P.A. A method to produce evolving functional connectivity maps during the course of an fMRI experiment using wavelet-based time-varying Granger causality. Neuroimage 2006, 31:187-196.
53. Schaefer M., Rotte M. Favorite brands as cultural objects modulate reward circuit. NeuroReport 2007, 18:141-145.
54. Schultz W. Behavioral theories and the neurophysiology of reward. Annu. Rev. Psychol. 2006, 57:87-115.
55. Stilla R., Deshpande G., LaConte S., Hu X., Sathian K. Posteromedial parietal cortical activity and inputs predict tactile spatial acuity. J. Neurosci. 2007, 27:11091-11102.
56. Stilla R., Hanna R., Hu X., Deshpande G., Sathian K. Neural processing underlying tactile microspatial discrimination in the blind: a functional magnetic resonance imaging study. Journal of Vision 2008, 8(10)(13):1-19.
57. Talairach J., Tournoux P. Co-planar Stereotaxic Atlas of the Brain 1988, Thieme Medical Publishers, New York.
58. Theiler J., Eubank S., Longtin A., Galdrikian B., Farmer D. Testing for non-linearity in time series: the method of surrogate data. Phys. D 1992, 58:77-94.
59. Thielscher A., Pessoa L. Neural correlates of perceptual choice and decision making during fear-disgust discrimination. J. Neurosci. 2007, 27:2908-2917.
60. Tobler P.N., Fletcher P.C., Bullmore E.T., Schultz W. Learning-related human brain activations reflecting individual finances. Neuron 2007, 54:167-175.
61. Vartanian O., Goel V. Neuroanatomical correlates of aesthetic preference for paintings. NeuroReport 2004, 15:893-897.
62. Wartenberg T.E. The Nature of Art: An Anthology 2006, Wadsworth, Belmont, CA. 2nd ed.
63. Yacubian J., Sommer T., Schroeder K., Gläscher J., Braus D.F., Büchel C. Subregions of the ventral striatum show preferential coding of reward magnitude and probability. Neuroimage 2007, 38:557-563.
64. Yonelinas A.P., Otten L.J., Shaw K.N., Rugg M.D. Separating the brain regions involved in recollection and familiarity in recognition memory. J. Neurosci. 2005, 25:3002-3008.
65. Zaidel D.W. Neuropsychology of Art: Neurological, Cognitive and Evolutionary Perspectives 2005, Psychology Press, Hove, UK.