Decision Making; Frontal Lobe/diagnostic imaging; Humans; Motivation; Prefrontal Cortex; Gambling; Anatomical locations; Functional magnetic resonance imaging; Local field potentials; Neural activation; Neuronal populations; Orbitofrontal cortices (OFC); Specific information; Temporal resolution; Signal Processing; Biomedical Engineering; Computer Vision and Pattern Recognition; Health Informatics
Abstract :
[en] During gambling, humans often begin by making decisions based on expected rewards and expected risks. However, expectations may not match actual outcomes. As gamblers keep track of their performance, they may feel more or less lucky, which then influences future betting decisions. Studies have identified the orbitofrontal cortex (OFC) as a brain region that plays a significant role during risky decision making in humans. However, most human studies infer neural activation from functional magnetic resonance imaging (fMRI), which has a poor temporal resolution. In particular, fMRI cannot detect activity from neuronal populations in the OFC, which may encode specific information about how a subject reacts to mismatched outcomes. In this preliminary study, four human subjects participated in a gambling task while local field potentials (LFPs), captured at a millisecond resolution, were recorded from the OFC. We analyzed high-frequency activity (HFA: >70 Hz) in the LFPs, as HFA has been shown to correlate to activation of neuronal populations. In 3 out of 4 subjects, HFA in OFC modulated between matched and mismatched trials as soon as the outcome of each bet was revealed, with modulations occurring at different times and directions depending on the anatomical location within the OFC.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Gunaratnam, Sejal; University of Michigan, Ann Arbor, United States
Talluri, Dinakar; University of Michigan, Ann Arbor, United States
Greene, Patrick; Johns Hopkins University, Baltimore, United States
Sacré, Pierre ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Robotique intelligente ; University of Michigan, Ann Arbor, United States
Gonzalez-Martinez, Jorge; University of Michigan, Ann Arbor, United States
Sarma, Sridevi V; Johns Hopkins University, Baltimore, United States
Language :
English
Title :
High Frequency Activity in the Orbital Frontal Cortex Modulates with Mismatched Expectations During Gambling in Humans.
Publication date :
2020
Journal title :
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
ISSN :
2375-7477
eISSN :
2694-0604
Publisher :
Institute of Electrical and Electronics Engineers Inc., United States
Pfister, H. R. & Böhm, G. The multiplicity of emotions: A framework of emotional functions in decision making. Judgment and decision making 3(1), 5-17 (2008).
Damasio, A. R. Descartes' Error: Emotion, Reason, and the Human Brain (Grosset/Putnam, New York, NY, 1994).
Lerner, J. & Keltner, D. Beyond valence: Toward a model of emotion-specific influences on judgement and choice. Cognition and Emotion 14(4), 473-493 (2000).
Padoa-Schioppa, C. & Assad, J. A. Neurons in the orbitofrontal cortex encode economic value. Nature 441(7090), 223-226 (2006).
Levy, D. J. & Glimcher, P. W. The root of all value: a neural common currency for choice. Current Opinion in Neurobiology 22(6), 1027-1038 (2012).
Chamberlain, S. R. et al. Orbitofrontal dysfunction in patients with obsessive-compulsive disorder and their unaffected relatives. Science 321(5887), 421-422 (2008).
Schoenbaum, G., Saddoris, M. P. & Stalnaker, T. A. Reconciling the roles of orbitofrontal cortex in reversal learning and the encoding of outcome expectancies. Annals of the New York Academy of Sciences 1121, 320-335 (2007).
Levy, D. J. & Glimcher, P. W. The root of all value: a neural common currency for choice. Current Opinion in Neurobiology 22(6), 1027-1038 (2012).
Walton, M. E., Behrens, T. E. J., Buckley, M. J., Rudebeck, P. H. & Rushworth, M. F. S. Separable Learning Systems in the Macaque Brain and the Role of Orbitofrontal Cortex in Contingent Learning. Neuron 65(6), 927-939 (2010).
Cossu, M. et al. Stereoelectroencephalography in the presurgical evaluation of focal epilepsy: a retrospective analysis of 215 procedures. Neurosurgery 57(4), 706-718 (2005).
Johnson, M. et al. Performing behavioral tasks in subjects with intracranial electrodes. Journal of Visualized Experiments (92), e51947 (2014).
Sacré P, Kerr MSD, Kahn K, González-Martínez J, Bulacio J, Park HJ, Johnson MA, Thompson S, Jones J, Chib VS, Gale JT, and Sarma SV. Lucky rhythms in orbitofrontal cortex bias gambling decisions in humans. Scientific Reports, 6:36206, 2016.
Sacré P, Subramanian S, Kerr MD, Kahn K, Fitgerald Z, Eden UT, Johnson MA, Gonzalez-Martinez J, Gale JT, Sarma SV. Risk-taking bias in human decision-making is encoded via a right-left brain push-pull system. Proc Natl Acad Sci U S A. 116 (4) 1404-1413, 2019.
Ray S, Crone NE, Niebur E, Franaszczuk PJ, Hsiao SS. Neural correlates of high-gamma oscillations (60-200 Hz) in macaque local field potentials and their potential implications in electrocorticography. The Journal of Neuroscience. 28(45):11526-11536 (2008).
Maris, E. & Oostenveld, R. Nonparametric statistical testing of EEGand MEG-data. Journal of Neuroscience Methods 164(1), 177-190
