Tonic Activity Level in the Right Prefrontal Cortex Predicts Individuals' Risk Taking

Human risk taking is characterized by a large amount of individual heterogeneity. In this study, we applied resting-state electroencephalography, which captures stable individual differences in neural activity, before subjects performed a risk-taking task. Using a source-localization technique, we found that the baseline cortical activity in the right prefrontal cortex predicts individual risk-taking behavior. Individuals with higher baseline cortical activity in this brain area display more risk aversion than do other individuals. This finding demonstrates that neural characteristics that are stable over time can predict a highly complex behavior such as risk-taking behavior and furthermore suggests that hypoactivity in the right prefrontal cortex might serve as a dispositional indicator of lower regulatory abilities, which is expressed in greater risk-taking behavior.

[1]  Valerie M. Chase,et al.  How to keep children safe in traffic: find the daredevils early. , 2003, Journal of experimental psychology. Applied.

[2]  V. Reyna,et al.  Risk and Rationality in Adolescent Decision Making , 2006, Psychological science in the public interest : a journal of the American Psychological Society.

[3]  Xiao-Li Meng,et al.  Comparing correlated correlation coefficients , 1992 .

[4]  G. Comi,et al.  IFCN standards for digital recording of clinical EEG. The International Federation of Clinical Neurophysiology. , 1998, Electroencephalography and clinical neurophysiology. Supplement.

[5]  A. Kondacs,et al.  Long-term intra-individual variability of the background EEG in normals , 1999, Clinical Neurophysiology.

[6]  G. Comi,et al.  IFCN standards for digital recording of clinical EEG. International Federation of Clinical Neurophysiology. , 1998, Electroencephalography and clinical neurophysiology.

[7]  T. Robbins,et al.  Decision making and neuropsychiatry , 2001, Trends in Cognitive Sciences.

[8]  Suzanne E. Welcome,et al.  Mapping cortical change across the human life span , 2003, Nature Neuroscience.

[9]  G. Knyazev.  Motivation, emotion, and their inhibitory control mirrored in brain oscillations , 2007, Neuroscience & Biobehavioral Reviews.

[10]  Luke Clark,et al.  The contributions of lesion laterality and lesion volume to decision-making impairment following frontal lobe damage , 2003, Neuropsychologia.

[11]  P. Slovic.  Risk-taking in children: Age and sex differences. , 1966 .

[12]  E. Harmon-Jones.  Contributions from research on anger and cognitive dissonance to understanding the motivational functions of asymmetrical frontal brain activity , 2004, Biological Psychology.

[13]  Gordon G. Gallup,et al.  Variation in Risk Taking Behavior Among Female College Students as a Function of the Menstrual Cycle , 1998 .

[14]  R. Baumeister,et al.  High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. , 2004, Journal of personality.

[15]  Lorena R. R. Gianotti,et al.  Disruption of Right Prefrontal Cortex by Low-Frequency Repetitive Transcranial Magnetic Stimulation Induces Risk-Taking Behavior , 2006, The Journal of Neuroscience.

[16]  R D Pascual-Marqui,et al.  Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. , 2002, Methods and findings in experimental and clinical pharmacology.

[17]  E. Weber,et al.  Predicting Risk-Sensitivity in Humans and Lower Animals: Risk as Variance or Coefficient of Variation , 2004, Psychological review.

[18]  Gregory L. Stuart,et al.  Evaluation of a behavioral measure of risk taking: the Balloon Analogue Risk Task (BART). , 2002, Journal of experimental psychology. Applied.

[19]  J. Richards,et al.  Dimensions of impulsive behavior: Personality and behavioral measures , 2006 .

[20]  John J. B. Allen,et al.  Manipulation of frontal EEG asymmetry through biofeedback alters self-reported emotional responses and facial EMG. , 2001, Psychophysiology.

[21]  J. Patton,et al.  Factor structure of the Barratt impulsiveness scale. , 1995, Journal of clinical psychology.

[22]  R. Davidson.  What does the prefrontal cortex “do” in affect: perspectives on frontal EEG asymmetry research , 2004, Biological Psychology.

[23]  D. Pizzagalli,et al.  Functional but not structural subgenual prefrontal cortex abnormalities in melancholia , 2004, Molecular Psychiatry.

[24]  H. de Wit,et al.  Reward discounting as a measure of impulsive behavior in a psychiatric outpatient population. , 2000, Experimental and clinical psychopharmacology.

[25]  W M Herrmann,et al.  Reflections on the topics: EEG frequency bands and regulation of vigilance. , 1979, Pharmakopsychiatrie, Neuro-Psychopharmakologie.

[26]  Christine L Larson,et al.  Functional coupling of simultaneous electrical and metabolic activity in the human brain , 2004, Human brain mapping.

[27]  Antonio Damasio,et al.  The somatic marker hypothesis: A neural theory of economic decision , 2005, Games Econ. Behav..

[28]  D. Yarnitsky,et al.  Neurophysiology of the cortical pain network: revisiting the role of S1 in subjective pain perception via standardized low-resolution brain electromagnetic tomography (sLORETA). , 2008, Journal of Pain.

[29]  Will M Aklin,et al.  Evaluation of the Balloon Analogue Risk Task (BART) as a predictor of adolescent real-world risk-taking behaviours. , 2003, Journal of adolescence.

[30]  Leanne M Williams,et al.  Resting EEG theta activity predicts cognitive performance in attention-deficit hyperactivity disorder. , 2005, Pediatric neurology.

[31]  P. Ekman,et al.  Approach-withdrawal and cerebral asymmetry: emotional expression and brain physiology. I. , 1990, Journal of personality and social psychology.