Mrinalini Srivastava1, Pankaj Pankaj2, S Senthil Kumaran2, Gagan Sharma1, and Achal Srivastava3
1University School of Management Studies, Guru Gobind Singh Indraprastha University, New Delhi, India, 2Department of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 3Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
Synopsis
The neural
underpinnings of financial behaviour using modified Iowa Gambling Task (IGT) was
assessed through fMRI technique. Data was processed using SPM 12. The results reveal
differential brain activation in fronto-parietal lesion patients (n=3,
mean age: 47 ±12 years) with respect to controls (n=6, mean
age:42±17years).
IGT results demonstrated activations during experience of majorly four
conditions viz. gains, losses, draws and penalty. The decision-making
and associated tasks invoked memory, attention and execution networks providing
the insights about the underlying structures of financial investment behaviour.
INTRODUCTION
Financial decision-making process (study in Neurofinance)
is emerging as an intriguing field of research, as it is subjected to the
evaluation of risk, reward and penalty involved (1). Iowa
Gambling Task (IGT) has been used for deducing financial behavior through
actual behavior in real time decision-making (1–4). The use
of game theory in neuroeconomics explains the rewarding and learning structures
that work and interact with each other to determine strategic and optimal choices
during investment (5). IGT estimates
the utilisation of return distribution through description and learning of
outcomes (probability for reward) and may be taken as a proxy for financial
market investment. This can be further supported by the fact that in financial
markets, probabilistic description about the risk-reward determination is
available and investors invest on the basis of experience and learning. IGT has been widely used for understanding
the decision-making (3,4,6). The
task has been modified for use in analysing the concept of decision-making with
varying objectives (3,4,7,8). The
present study investigates the neurobiology of the decision-making process
through fMRI technique using Iowa Gambling task.METHODS
The study is carried out in frontoparietal lesion
patients (n=3, mean age: 47 ±12 years) and controls (n=6, mean age: 42±17years).
IGT task is presented using Superlab 5.0 (Cedrus Corporation, San Pedro, CA,
USA) to suit fMRI requirements with MR compatible joystick (Current Designs,
USA) usage, modified from the IOWA Gambling task, designed by Bechara, Damasio, Damasio, & Anderson (1) and
later by SuperLab community.
The
task consists of four deck of cards with hundred trials and each trial is
subjected to reward and penalties. However, two deck of cards are advantageous
in longer run and the other two prove to be advantageous in shorter run but
disadvantageous in longer run. In our study, we have separated the 100 trials
in 50-50 trials in block design form. The first 50 trials are representative of
training and assessing the possible outcome of reward and penalty by the
subjects.
We have used block design method for IGT trials to
assess the brain activity that may transpire for a longer duration during
gambling (5).
Secondly, the pre and post training effect in gambling can be determined where
a baseline effect (to knock off the card effect) is created after 50 trials and
also in the beginning of the experiment. The baseline is scheduled for 28
seconds wherein 14 seconds are devoted to depict the display of cards (at any
of the four card locations) and the other 14 seconds presents for fixation (Plus
(+) sign). Each trial event is separated by six seconds for stimulus
representation, motor response, planning and execution of the decision.
Scans are carried out using 32 channel head coil in
Ingenia 3T (M/s Philips Medical Systems), and the response of the joystick
coupled to Lumina Controller (Cedrus 3G, USA) were recorded. Whole brain 3D
T1W1 using TFE sequence is used for overlaying BOLD activation. The data is
processed using SPM (Statistical Parametric Mapping, version SPM12) using
standard pipeline (9).RESULTS
The IGT results
demonstrated activations during experience of four conditions viz. gains,
losses, draws and penalty. During decision-making, trials with respect to only
card effect (IGT trials minus card effect) revealed activations in middle
temporal gyrus, paracentral lobule, precuneus, superior temporal gyrus,
inferior frontal gyrus and supramarginal gyrus in patients with respect to
controls (Table 1, Figure 1A). Decision-making with respect to card effect and
fixation (IGT trials minus card effect and fixation) exhibited activations in superior
temporal gyrus, middle temporal gyrus, inferior frontal gyrus, superior frontal
gyrus, insula and middle frontal gyrus in patients in comparison with controls (Table
2, Figure 1B).DISCUSSION
IGT represents
probabilistic determination of outcome rewards and penalties with learning and
experience as other important factors. In this, pre-training phase of IGT 1,
out of three patients; A and B performed poorly making a gain of $1950 and
$3150 respectively. While patient C performed well in IGT 1 with a gain of $2200.
Patients A and B made significant gains in IGT 2 with $3150 and $3100
respectively while patient C performed poorly in IGT 2 with $1500. The
task-related activations may be attributed to experience, working memory and
decision-making. The activation of superior temporal gyrus (STG) and precuneus may
be associated with the shifting to other deck of cards and guide the decisions during
winning and/or losing concurrent with literature (3,10). Right superior frontal gyrus activation
may be associated with the working memory and cognitive functions. Insula
activation may be associated with the planning and execution phase of the decision-making
task (11).CONCLUSION
The
decision-making and associated tasks invoked memory, attention and execution
networks providing the insights about the underlying structures of financial
investment behaviour.Acknowledgements
No acknowledgement found.References
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