PREDICTABILITY OF INVESTMENT BEHAVIOR FROM BRAIN INFORMATION MEASURED BY FUNCTIONAL NEAR-INFRARED SPECTROSCOPY: A BAYESIAN NEURAL NETWORK MODEL

被引:21
作者
Shimokawa, T. [1 ]
Suzuki, K. [2 ]
Misawa, T. [3 ]
Miyagawa, K. [4 ]
机构
[1] Tokyo Univ Sci, Sch Management, Kuki, Saitama 3468512, Japan
[2] Univ Tokyo, Grad Sch Econ, Bunkyo Ku, Tokyo 1130033, Japan
[3] Toyama Univ, Fac Engn, Toyama 9308555, Japan
[4] Hitotsubashi Univ, Grad Sch Econ, Kunitachi, Tokyo 1868601, Japan
关键词
decision-making; risk; functional near-infrared spectroscopy; bayesian neural network model; medial prefrontal cortex; orbital cortex; ORBITOFRONTAL CORTEX; DECISION-MAKING; PREFRONTAL CORTEX; NEURONAL-ACTIVITY; REWARD VALUE; ACTIVATION; RISK; SIGNAL; REPRESENTATIONS; NEUROECONOMICS;
D O I
10.1016/j.neuroscience.2009.02.079
中图分类号
Q189 [神经科学];
学科分类号
071006 [神经生物学];
摘要
In line with previous studies using fMRI and as is apparent from experimental results, cerebral blood flow (oxygenated hemoglobin (oxyHb) concentration) in the medial prefrontal cortex (MPFC) and orbital cortex (OFC) as is observed with fNIRS (functional near-infrared spectroscopy) is presumed to be closely related to reward prediction and risk prediction as part of decision-making under risk. Results of analysis using a predictive model with a three-layer perceptron revealed that changes in the oxyHb concentration in cerebral blood as indicated by fNIRS observation include information to effectively predict investment behavior. This paper indicates that adding oxyHb concentration at the aforementioned sites in the brain as a predictive factor allows prediction of subjects' investment behavior with a considerable degree of precision. This fact indicates that information provided by fNIRS allows valid analysis of investment behavior and it also suggests a wide-ranging practical applicability for this information like investment assistance using fNIRS. (c) 2009 IBRO. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:347 / 358
页数:12
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