Feeling before knowing why: The role of the orbitofrontal cortex in intuitive judgments—an MEG study

Cognitive, Affective and Behavioral Neuroscience

Volumn 14, Issue 4, 2014, Pages 1271-1285

  Horr, Ninja K ^a,c   Braun, Christoph ^a,b   Volz, Kirsten G ^a  

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b UNIVERSITY OF TRENTO   (Italy)

^c UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Coherence judgments; Decision making; Intuition; Magnetoencephalography; Orbitofrontal cortex

Indexed keywords

ADOLESCENT; ADULT; BRAIN MAPPING; DECISION MAKING; EMOTION; FEMALE; HUMAN; INTUITION; MAGNETOENCEPHALOGRAPHY; MALE; PHOTOSTIMULATION; PHYSIOLOGY; PREFRONTAL CORTEX; TIME; YOUNG ADULT;

ADOLESCENT; ADULT; BRAIN MAPPING; EMOTIONS; FEMALE; HUMANS; INTUITION; JUDGMENT; MAGNETOENCEPHALOGRAPHY; MALE; PHOTIC STIMULATION; PREFRONTAL CORTEX; TIME FACTORS; YOUNG ADULT;

EID: 84931431311     PISSN: 15307026     EISSN: None     Source Type: Journal    
DOI: 10.3758/s13415-014-0286-7     Document Type: Article

References (33)

1. Abdi, G. (2007). Signal detection theory (SDT). In N. J. Salkind (Ed.), Encyclopedia of measurement and statistics. Thousand Oaks: Sage.
2. Bar, M., Kassam, K. S., Ghuman, A.S., Boshyan, J., Schmid, A. M., Dale, A. M., …, & Halgren, E. (2006). Top-down facilitation of visual recognition. Proceedings of the National Academy of Sciences of the United States of America, 103, 449-454.
3. Bar, M., Tootell, R. B. H., Schacter, D., L., Greve, D. N., Fischl, B., Mendola, J. D., …, & Dale, A., M. (2001). Cortical mechanisms specific to explicit visual object recognition. Neuron, 29, 529-535
4. Bolte, A., & Goschke, T. (2008). Intuition in the context of object perception: Intuitive gestalt judgments rest on the unconscious activation of semantic representations. Cognition, 108, 608–616.
5. Bolte, A., Goschke, T., & Kuhl, J. (2003). Emotion and Intuition: Effects of Positive and Negative Mood on Implicit Judgments of Semantic Coherence. Psychological Science, 14, 416–421.
6. Bookheimer, S. (2002). Functional MRI of language: New approaches to understanding the cortical organization of semantic processing. Annual Review of Neuroscience, 25, 151–188.
7. Bowers, K. S., Regehr, G., Balthazard, C., & Parker, K. (1990). Intuition in the Context of Discovery. Cognitive Psychology, 22, 72–110.
8. Chao, L. L., Haxby, J. V., & Martin, A. (1999). Attribute-based neural substrates in temporal cortex for perceiving and knowing about objects. Nature Neuroscience, 2, 913–919.
9. Dale, A. M., Liu, B., Fischl, B. R., Buckner, R. L., Belliveau, J. W., Lewine, J. D., & Halgren, E. (2000). Dynamic statistical parametric mapping: Combining fMRI and MEG for high-resolution imaging of cortical activity. Neuron, 26, 55–67.
10. Evans, J. S. (2008). Dual-processing accounts of reasoning, judgment, and social cognition. Annual Review of Psychology, 59, 255–278.
11. Gluth, S., Rieskamp, J., & Büchel, C. (2012). Deciding when to decide: Time-variant sequential sampling models explain the emergence of value-based decisions in the human brain. The Journal of Neuroscience, 32, 10686–10698.
12. Grill-Spector, K., & Malach, R. (2004). The human visual cortex. Annual Review of Neuroscience, 27, 649–677.
13. Hämäläinen, M. S., & Ilmoniemi, R. J. (1994). Interpreting magnetic fields of the brain: Minimum norm estimates. Medical and Biological Engineering and Computing, 32, 35–42.
14. Huang, M. X., Mosher, J. C., & Leahy, R. M. (1999). A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG. Physics in Medicine and Biology, 44, 423–440.
15. Knight, F. H. (1921). Risk, Uncertainty, and Profit. New York: Houghton Mifflin.
16. Kruglanski, A. W., & Gigerenzer, G. (2011). Intuitive and deliberate judgments are based on common principles. Psychological Review, 118, 97–109.
17. Leahy, R. M., Mosher, J. C., Spencer, M. E., Huang, M. X., & Lewine, J. F. (1998). A study of dipole localization accuracy for MEG and EEG using a human skull phantom. Electroencephalography and Clinical Neurophysiology, 107, 159–173.
18. Luu, P., Geyer, A., Fidopiastis, C., Campbell, G., Wheeler, T., Cohn, J., & Tucker, D. (2010). Reentrant processing in intuitive perception. PloS One, 5, 1–10.
19. Martin, A., & Chao, L. L. (2001). Semantic memory and the brain: Structure and processes. Current Opinions in Neurobiology, 11, 194–201.
20. O'Doherty, J., & Dolan, R. J. (2006). The role of human orbitofrontal cortex in reward prediction and behavioural choice: Insights from neuroimaging. In D. H. Zald & S. L. Rauch (Eds.), The Orbitofrontal Cortex (kindle edition). Oxford: Oxford University Press.
21. Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011). FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data. Computational Intelligence and Neuroscience, 2011, 1–9.
22. Peters, J., & Büchel, C. (2010). Neural representations of subjective reward value. Behavioural Brain Research, 213, 135–141.
23. Plailly, J., Howard, J. D., Gitelman, D. R., & Gottfried, J. (2008). Attention to odor modulates thalamocortical connectivity in the human brain. The Journal of Neuroscience, 28, 5257–5267.
24. Price, J. L. (2006a). Architectonic structure of the orbital and medial prefrontal cortex. In D. H. Zald & S. L. Rauch (Eds.), The Orbitofrontal Cortex [kindle edition]. Oxford: Oxford University Press.
25. Price, J. L. (2006b). Connection of the orbital cortex. In D. H. Zald & S. L. Rauch (Eds.), The Orbitofrontal Cortex [kindle edition]. Oxford: Oxford University Press.
26. Rolls, E. T., & Grabenhorst, F. (2008). The orbitofrontal cortex and beyond: From affect to decision-making. Progress in Neurobiology, 86, 216–244.
27. Satpute, A. B., & Lieberman, M. D. (2009). Integrating automatic and controlled processes into neurocognitive models of social cognition. Brain Research, 1079, 86–97.
28. Snodgrass, J. G., & Vanderwart, M. (1980). A standardized set of 260 pictures: Norms for name agreement, image agreement, familiarity, and visual complexity. Journal of Experimental Psychology: Learning, Memory, and Cognition, 6, 174–215.
29. Tadel, F., Baillet, S., Mosher, J. C., Pantazis, D., & Leahy, R. M. (2011). Brainstorm: A User-Friendly Application for MEG/EEG Analysis. Computational Intelligence and Neuroscience, 2011, 1–13.
30. Topolinski, S., & Strack, F. (2009). The architecture of intuition: Fluency and affect determine intuitive judgments of semantic and visual coherence and judgments of grammaticality in artificial grammar learning. Journal of Experimental Psychology: General, 138, 39–63.
31. Volz, K. G., Rübsamen, R., & von Cramon, D. Y. (2008). Cortical regions activated by the subjective sense of perceptual coherence of environmental sounds: A proposal for a neuroscience of intuition. Cognitive, Affective, & Behavioral Neuroscience, 8, 318–328.
32. Volz, K. G., & von Cramon, D. Y. (2006). What Neuroscience Can Tell about Intuitive Processes in the Context of Perceptual Discovery. Journal of Cognitive Neuroscience, 18, 2077–2087.
33. Whatmough, C., Chertkow, H., Murtha, S., & Hanratty, K. (2002). Dissociable brain regions process object meaning and object structure during picture naming. Neuropsychologia, 40, 174–184.