Decision-making under risk: A graph-based network analysis using functional MRI

NeuroImage

Volumn 60, Issue 4, 2012, Pages 2191-2205

  Minati, Ludovico ^a,b   Grisoli, Marina ^a   Seth, Anil K ^c   Critchley, Hugo D ^b,c,d  

^a DEPARTMENT OF NEUROSURGERY   (Italy)

^b BRIGHTON AND SUSSEX MEDICAL SCHOOL   (United Kingdom)

^c UNIVERSITY OF SUSSEX   (United Kingdom)

^d SUSSEX PARTNERSHIP NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

Decision making; Dynamic causal modeling (DCM); Functional MRI (fMRI); Graph theory; Networks; Prefrontal cortex; Psychophysiological interaction (PPI)

Indexed keywords

ADULT; AMYGDALOID NUCLEUS; ANGULAR GYRUS; ANTERIOR CINGULATE; ANTERIOR INSULA; ARTICLE; BEHAVIOR; BRAIN REGION; CAUDATE NUCLEUS; CORPUS STRIATUM; DECISION MAKING; FEMALE; FUNCTIONAL ANATOMY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HIPPOCAMPUS; HUMAN; HUMAN EXPERIMENT; INSULA; LENTICULAR NUCLEUS; MALE; MIDDLE CINGULATE; NORMAL HUMAN; OCCIPITAL CORTEX; ORBITAL CORTEX; PARAHIPPOCAMPAL GYRUS; POSTERIOR CINGULATE; PRECUNEUS; PREFRONTAL CORTEX; PRIMARY MOTOR CORTEX; PRIORITY JOURNAL; RISKY DECISION MAKING; SUPPLEMENTARY MOTOR AREA; THALAMUS; VENTROMEDIAL PREFRONTAL CORTEX;

ADULT; BRAIN; BRAIN MAPPING; DECISION MAKING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; NEURAL PATHWAYS; RISK;

EID: 84858738485     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.02.048     Document Type: Article

References (94)

1. Abdellaoui M., Bleichrodt H., Paraschiv C. Loss aversion under prospect theory: a parameter-free measurement. J. Manage. Sci. 2007, 53:1659-1674.
2. Alexander W.H., Brown J.W. Medial prefrontal cortex as an action-outcome predictor. Nat. Neurosci. 2011, 14(10):1338-1344.
3. Andersen R.A., Cui H. Intention, action planning, and decision making in parietal-frontal circuits. Neuron 2009, 63:568-583.
4. Badre D. Cognitive control, hierarchy, and the rostro-caudal organization of the frontal lobes. Trends Cogn. Sci. 2008, 12(5):193-200.
5. Barahona M., Pecora L.M. Synchronization in small-world systems. Phys. Rev. Lett. 2002, 89:054101.
6. Barbas H. Connections underlying the synthesis of cognition, memory, and emotion in primate prefrontal cortices. Brain Res. Bull. 2000, 52:319-330.
7. Barbey A.K., Grafman J. An integrative cognitive neuroscience theory of social reasoning and moral judgment. WIREs Cogn. Sci. 2011, 2:5567.
8. Barbey A.K., Krueger F., Grafman J. An evolutionarily adaptive neural architecture for social reasoning. Trends Neurosci. 2009, 32(12):603-610.
9. Barrat A., Barthelemy M., Vespignani A. Dynamical Processes on Complex Networks 2008, Cambridge University Press, Cambridge, UK.
10. Bassett D.S., Bullmore E. Small-world brain networks. Neuroscientist 2006, 12:512-523.
11. Bastian M., Heymann S., Jacomy M. Gephi: an open source software for exploring and manipulating networks. Int. AAAI Conf. Weblogs and Social Media 2009.
12. Bechara A., Damasio H., Damasio A.R., Lee G.P. Different contributions of the human amygdala and ventromedial prefrontal cortex to decision-making. J. Neurosci. 1999, 19:5473-5481.
13. Blondel V.D., Guillaume J.L., Lambiotte R., Lefebvre E. Fast unfolding of communities in large networks. J. Stat. Mech. 2008, 10:1000.
14. Botvinick M.M. Hierarchical models of behavior and prefrontal function. Trends Cogn. Sci. 2008, 12(5):201-208.
15. Brandes U. A faster algorithm for betweenness centrality. J. Math. Soc. 2001, 25:163-177.
16. Bressler S.L., Seth A.K. Wiener-Granger causality: a well established methodology. NeuroImage 2011, 58(2):323-329.
17. Brog J.S., Salyapongse A., Deutch A.Y., Zahm D.S. The patterns of afferent innervation of the core and shell in the "accumbens" part of the rat ventral striatum: immunohistochemical detection of retrogradely transported fluoro-gold. J. Comp. Neurol. 1993, 338(2):255-278.
18. Buckner R.L., Sepulcre J., Talukdar T., Krienen F.M., Liu H., Hedden T., Andrews-Hanna J.R., Sperling R.A., Johnson K.A. Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease. J. Neurosci. 2009, 29:1860-1873.
19. Bullmore E.T., Bassett D.S. Brain graphs: graphical models of the human brain connectome. Annu. Rev. Clin. Psychol. 2011, 7:113-140.
20. Camara E., Rodriguez-Fornells A., Münte T.F. Functional connectivity of reward processing in the brain. Front. Hum. Neurosci. 2008, 2:19.
21. Camara E., Rodriguez-Fornells A., Ye Z., Münte T.F. Reward networks in the brain as captured by connectivity measures. Front Neurosci. 2009, 3(3):350-362. Dec 15.
22. Chib V.S., Rangel A., Shimojo S., O'Doherty J.P. Evidence for a common representation of decision values for dissimilar goods in human ventromedial prefrontal cortex. J. Neurosci. 2009, 29:12315-12320.
23. Clark L. Decision-making during gambling: an integration of cognitive and psychobiological approaches. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2010, 365:319-330.
24. Clark L., Manes F., Antoun N., Sahakian B.J., Robbins T.W. The contributions of lesion laterality and lesion volume to decision-making impairment following frontal lobe damage. Neuropsychologia 2003, 41:1474-1483.
25. Clark L., Bechara A., Damasio H., Aitken M.R., Sahakian B.J., Robbins T.W. Differential effects of insular and ventromedial prefrontal cortex lesions on risky decision-making. Brain 2008, 131:1311-1322.
26. Critchley H.D. Neural mechanisms of autonomic, affective, and cognitive integration. J. Comp. Neurol. 2005, 493:154-166.
27. De Martino B., Camerer C.F., Adolphs R. Amygdala damage eliminates monetary loss aversion. Proc. Natl. Acad. Sci. U.S.A. 2010, 107(8):3788-3792.
28. Duann J.R., Jung T.P., Kuo W.J., Yeh T.C., Makeig S., Hsieh J.C., Sejnowski T.J. Single-trial variability in event-related BOLD signals. NeuroImage 2002, 15(4):823-835.
29. Friston K.J., Buechel C., Fink G.R., Morris J., Rolls E., Dolan R.J. Psychophysiological and modulatory interactions in neuroimaging. NeuroImage 1997, 6:218-229.
30. Friston K.J., Harrison L., Penny W. Dynamic causal modelling. NeuroImage 2003, 19:1273-1302.
31. Fuster J.M. The prefrontal cortex. Anatomy, Physiology, and Neuropsychology of the Frontal Lobe 1997, Lippincott-Raven.
32. Ginestet C.E., Nichols T.E., Bullmore E.T., Simmons A. Brain network analysis: separating cost from topology using cost-integration. PLoS One 2011, 6(7):e21570.
33. Gläscher J., Hampton A.N., O'Doherty J.P. Determining a role for ventromedial prefrontal cortex in encoding action-based value signals during reward-related decision making. Cereb. Cortex. 2009, 19:483-495.
34. Gneezy U., Rustichini A. Pay enough or don't pay at all. Q. J. Econ. 2000, 115:791-810.
35. Guimerà R., Mossa S., Turtschi A., Amaral L.A. The worldwide air transportation network: anomalous centrality, community structure, and cities' global roles. Proc. Natl. Acad. Sci. U.S.A. 2005, 102(22):7794-7799.
36. Hagmann P., Cammoun L., Gigandet X., Meuli R., Honey C.J., Wedeen V.J., Sporns O. Mapping the structural core of the human cerebral cortex. PLoS Biol. 2008, 6:e159.
37. Hare T.A., Camerer C.F., Knoepfle D.T., Rangel A. Value computations in ventral medial prefrontal cortex during charitable decision making incorporate input from regions involved in social cognition. J. Neurosci. 2010, 30:583-590.
38. Holm S. A simple sequentially rejective multiple test procedure. Scand. J. Stat. 1979, 6:65-70.
39. Hsu M., Krajbich I., Zhao C., Camerer C.F. Neural response to reward anticipation under risk is nonlinear in probabilities. J. Neurosci. 2009, 29(7):2231-2237.
40. Humphries M.D., Gurney K. Network 'small-world-ness': a quantitative method for determining canonical network equivalence. PLoS One 2008, 3:e0002051.
41. Kable J.W., Glimcher P.W. The neurobiology of decision: consensus and controversy. Neuron 2009, 63:733-745.
42. Kahneman D., Tversky A. Prospect theory: an analysis of decision under risk. Econometrica 1979, 4:263-291.
43. Latapy M. Main-memory triangle computations for very large (sparse power-law) graphs. Theor. Comp. Sci. 2008, 407:458-473.
44. Levine D.S. Brain pathways for cognitive-emotional decision making in the human animal. Neural Netw. 2009, 22:286-293.
45. Machina M.J. "Expected utility" analysis without the independence axiom. Econometrica 1982, 50:277-323.
46. Manes F., Sahakian B., Clark L., Rogers R., Antoun N., Aitken M., Robbins T. Decision-making processes following damage to the prefrontal cortex. Brain 2002, 125:624-639.
47. Mesulam M.M. From sensation to cognition. Brain 1998, 121:1013-1052.
48. Meyer K., Damasio A. Convergence and divergence in a neural architecture for recognition and memory. Trends Neurosci. 2009, 32:376-382.
49. Minati L., Piacentini S., Ferrè F., Nanetti L., Romito L., Mariotti C., Grisoli M., Medford N., Critchley H.D., Albanese A. Choice-option evaluation is preserved in early Huntington and Parkinson's disease. NeuroReport 2011, 22:753-757.
50. Minati L., Grisoli M., Franceschetti S., Epifani F., Granvillano A., Medford N., Harrison N.A., Piacentini S., Critchley H.D. Neural signatures of economic parameters during decision-making: a functional MRI (FMRI), electroencephalography (EEG) and autonomic monitoring study. Brain Topogr. 2012, 25:73-96.
51. Newman M. Networks: An Introduction 2010, Oxford University Press, Oxford, UK.
52. Niewenhuys R. The Human Central Nervous System: A Synopsis and Atlas 1996, Springer-Verlag, New York.
53. Oldfield R.C. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 1971, 9:97-113.
54. Ongür D., Price J.L. The organization of networks within the orbital and medial prefrontal cortex of rats, monkeys and humans. Cereb Cortex. 2000, 10(3):206-219.
55. Ongür D., Ferry A.T., Price J.L. Architectonic subdivision of the human orbital and medial prefrontal cortex. J. Comp. Neurol. 2003, 460(3):425-449.
56. Philiastides M.G., Biele G., Heekeren H.R. A mechanistic account of value computation in the human brain. Proc. Natl. Acad. Sci. U.S.A. 2010, 107:9430-9435.
57. Park S.Q., Kahnt T., Rieskamp J., Heekeren H.R. Neurobiology of value integration: when value impacts valuation. J. Neurosci. 2011, 31:9307-9314.
58. Platt M.L., Huettel S.A. Risky business: the neuroeconomics of decision making under uncertainty. Nat. Neurosci. 2008, 11:398-403.
59. Rajkowska G., Goldman-Rakic P.S. Cytoarchitectonic definition of prefrontal areas in the normal human cortex: II. Variability in locations of areas 9 and 46 and relationship to the Talairach coordinate system. Cereb Cortex 1995, 5:323-337.
60. Ramsey J.D., Hanson S.J., Hanson C., Halchenko Y.O., Poldrack R.A., Glymour C. Six problems for causal inference from fMRI. NeuroImage 2010, 49(2):1545-1558.
61. Rangel A., Hare T. Neural computations associated with goal-directed choice. Curr. Opin. Neurobiol. 2010, 20:262-270.
62. Rushworth M.F., Behrens T.E. Choice, uncertainty and value in prefrontal and cingulate cortex. Nat. Neurosci. 2008, 11:389-397.
63. Sakagami M., Pan X. Functional role of the ventrolateral prefrontal cortex in decision making. Curr. Opin. Neurobiol. 2007, 17(2):228-233.
64. Salvador R., Suckling J., Coleman M.R., Pickard J.D., Menon D., Bullmore E. Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb Cortex. 2005, 15:1332-1342.
65. Serences J.T. A comparison of methods for characterizing the event-related BOLD time series in rapid fMRI. NeuroImage 2004, 21(4):1690-1700.
66. Serences J.T. Value-based modulations in human visual cortex. Neuron 2008, 60:1169-1181.
67. Smith D.V., Hayden B.Y., Truong T.K., Song A.W., Platt M.L., Huettel S.A. Distinct value signals in anterior and posterior ventromedial prefrontal cortex. J. Neurosci. 2010, 30:2490-2495.
68. Sporns O. Networks of the Brain 2009, The MIT Press, Cambridge MA, USA.
69. Sporns O., Tononi G.M. Classes of network connectivity and dynamics. Complexity 2001, 7:28-38.
70. Sporns O., Tononi G., Edelman G.M. Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. Cereb Cortex 2000, 10:127-141.
71. Sporns O., Chialvo D.R., Kaiser M., Hilgetag C.C. Organization, development and function of complex brain networks. Trends Cogn. Sci. 2004, 8:418-425.
72. Stephan K.E. On the role of general system theory for functional neuroimaging. J. Anat. 2004, 205:443-470.
73. Stephan K.E., Harrison L.M., Kiebel S.J., David O., Penny W.D., Friston K.J. Dynamic causal models of neural system dynamics: current state and future extensions. J. Biosci. 2007, 32:129-144.
74. Stephan K.E., Penny W.D., Daunizeau J., Moran R.J., Friston K.J. Bayesian model selection for group studies. NeuroImage 2009, 46:1004-1017.
75. Tom S.M., Fox C.R., Trepel C., Poldrack R.A. The neural basis of loss aversion in decision-making under risk. Science 2007, 315:515-518.
76. Trepel C., Fox C.R., Poldrack R.A. Prospect theory on the brain? Toward a cognitive neuroscience of decision under risk. Cogn. Brain Res. 2005, 23:34-50.
77. Tversky A., Kahneman D. Advances in prospect theory cumulative representation of uncertainty. J Risk Uncertain 1992, 5:297-323.
78. Tzourio-Mazoyer N., Landeau B., Papathanassiou D., Crivello F., Etard O., Delcroix N., Mazoyer B., Joliot M. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 2002, 15:273-289.
79. Valdes-Sosa P.A., Roebroeck A., Daunizeau J., Friston K. Effective connectivity: influence, causality and biophysical modeling. NeuroImage 2011, 58(2):339-361.
80. Venkatraman V., Payne J.W., Bettman J.R., Luce M.F., Huettel S.A. Separate neural mechanisms underlie choices and strategic preferences in risky decision making. Neuron 2009, 62:593-602.
81. Vogt B.A. Pain and emotion interactions in subregions of the cingulate gyrus. Nat. Rev. Neurosci. 2005, 6:533-544.
82. von Neumann J., Morgenstern O. Theory of Games and Economic Behavior 1944, Princeton, USA, Princeton UP.
83. Vuilleumier P., Richardson M.P., Armony J.L., Driver J., Dolan R.J. Distant influences of amygdala lesion on visual cortical activation during emotional face processing. Nat. Neurosci. 2004, 7:1271-1278.
84. Wager T.D., Vazquez A., Hernandez L., Noll D.C. Accounting for nonlinear BOLD effects in fMRI: parameter estimates and a model for prediction in rapid event-related studies. NeuroImage 2005, 25(1):206-218.
85. Wallis J.D., Kennerley S.W. Heterogeneous reward signals in prefrontal cortex. Curr. Opin. Neurobiol. 2010, 20:191-198.
86. Wang X.J. Decision making in recurrent neuronal circuits. Neuron 2008, 60:215-234.
87. Wang J., Zuo X., He Y. Graph-based network analysis of resting-state functional MRI. Front. Syst. Neurosci. 2010, 4:16.
88. Watts D.J., Strogatz S.H. Collective dynamics of 'small-world' networks. Nature 1998, 393:440-442.
89. Weller J.A., Levin I.P., Shiv B., Bechara A. The effects of insula damage on decision-making for risky gains and losses. Soc. Neurosci. 2009, 4:347-358.
90. Wendt J., Weike A.I., Lotze M., Hamm A.O. The functional connectivity between amygdala and extrastriate visual cortex activity during emotional picture processing depends on stimulus novelty. Biol. Psychol. 2011, 86:203-209.
91. Wilkinson N. An Introduction to Behavioural Economics 2008, Palgrave-Macmillan, Basingstoke, UK.
92. Wunderlich K., Rangel A., O'Doherty J.P. Neural computations underlying action-based decision making in the human brain. Proc Natl Acad Sci USA 2009, 106:17199-17204.
93. Zamora-López G., Zhou C., Kurths J. Cortical hubs form a module for multisensory integration on top of the hierarchy of cortical networks. Front Neuroinform. 2010, 4:1.
94. Zemanová L., Zhou C.S., Kurths J. Structural and functional clusters of complex brain networks. Phy. D 2006, 224:202-212.