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The anterior insula tracks behavioral entropy during an interpersonal competitive game

The anterior insula tracks behavioral entropy during an interpersonal competitive game
The anterior insula tracks behavioral entropy during an interpersonal competitive game
In competitive situations, individuals need to adjust their behavioral strategy dynamically in response to their opponent's behavior. In the present study, we investigated the neural basis of how individuals adjust their strategy during a simple, competitive game of matching pennies. We used entropy as a behavioral index of randomness in decision-making, because maximizing randomness is thought to be an optimal strategy in the game, according to game theory. While undergoing functional magnetic resonance imaging (fMRI), subjects played matching pennies with either a human or computer opponent in each block, although in reality they played the game with the same computer algorithm under both conditions. The winning rate of each block was also manipulated. Both the opponent (human or computer), and the winning rate, independently affected subjects' block-wise entropy during the game. The fMRI results revealed that activity in the bilateral anterior insula was positively correlated with subjects' (not opponent's) behavioral entropy during the game, which indicates that during an interpersonal competitive game, the anterior insula tracked how uncertain subjects' behavior was, rather than how uncertain subjects felt their opponent's behavior was. Our results suggest that intuitive or automatic processes based on somatic markers may be a key to optimally adjusting behavioral strategies in competitive situations.
1932-6203
Takahashi, Hideyuki
e07005b6-0c7f-4ede-abf4-12bf7bcf963e
Izuma, Keise
67894464-b2eb-4834-9727-c2a870587e5a
Matsumoto, Madoka
fce773d5-53c8-49eb-b481-e1e5db38d436
Matsumoto, Kenji
df068ed2-7c79-4c79-9e8d-ac73bfcfbeeb
Omori, Takashi
32668d30-eaf5-4b59-bcc1-8d172ddb0da5
Takahashi, Hideyuki
e07005b6-0c7f-4ede-abf4-12bf7bcf963e
Izuma, Keise
67894464-b2eb-4834-9727-c2a870587e5a
Matsumoto, Madoka
fce773d5-53c8-49eb-b481-e1e5db38d436
Matsumoto, Kenji
df068ed2-7c79-4c79-9e8d-ac73bfcfbeeb
Omori, Takashi
32668d30-eaf5-4b59-bcc1-8d172ddb0da5

Takahashi, Hideyuki, Izuma, Keise, Matsumoto, Madoka, Matsumoto, Kenji and Omori, Takashi (2015) The anterior insula tracks behavioral entropy during an interpersonal competitive game. PLoS ONE, 10 (6). (doi:10.1371/journal.pone.0123329).

Record type: Article

Abstract

In competitive situations, individuals need to adjust their behavioral strategy dynamically in response to their opponent's behavior. In the present study, we investigated the neural basis of how individuals adjust their strategy during a simple, competitive game of matching pennies. We used entropy as a behavioral index of randomness in decision-making, because maximizing randomness is thought to be an optimal strategy in the game, according to game theory. While undergoing functional magnetic resonance imaging (fMRI), subjects played matching pennies with either a human or computer opponent in each block, although in reality they played the game with the same computer algorithm under both conditions. The winning rate of each block was also manipulated. Both the opponent (human or computer), and the winning rate, independently affected subjects' block-wise entropy during the game. The fMRI results revealed that activity in the bilateral anterior insula was positively correlated with subjects' (not opponent's) behavioral entropy during the game, which indicates that during an interpersonal competitive game, the anterior insula tracked how uncertain subjects' behavior was, rather than how uncertain subjects felt their opponent's behavior was. Our results suggest that intuitive or automatic processes based on somatic markers may be a key to optimally adjusting behavioral strategies in competitive situations.

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journal.pone.0123329 - Version of Record
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More information

Accepted/In Press date: 2 March 2015
e-pub ahead of print date: 3 June 2015
Published date: 2015

Identifiers

Local EPrints ID: 425203
URI: https://eprints.soton.ac.uk/id/eprint/425203
ISSN: 1932-6203
PURE UUID: 5dc4c252-1d51-4e1f-82a6-095792f083db

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Date deposited: 11 Oct 2018 16:30
Last modified: 25 Nov 2019 17:56

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Contributors

Author: Hideyuki Takahashi
Author: Keise Izuma
Author: Madoka Matsumoto
Author: Kenji Matsumoto
Author: Takashi Omori

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