An Exploratory Study of Large-Scale Brain Networks during Gambling Using SEEG
Name
brainsci-14-00773.pdf
Size
2.45 MB
Format
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Checksum (MD5)
9ed2d451a5b091993644eb648277bec2
Author(s)
Taylor, Christopher
Breault, Macauley Smith
Dorman, Daniel
Greene, Patrick
Sacré, Pierre
Sampson, Aaron
Niebur, Ernst
Stuphorn, Veit
González-Martínez, Jorge
Sarma, Sridevi
Date Issued
July 31, 2024
Journal
Brain Sciences
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Taylor, C.; Breault, M.S.; Dorman, D.; Greene, P.; Sacré, P.; Sampson, A.; Niebur, E.; Stuphorn, V.; González-Martínez, J.; Sarma, S. An Exploratory Study of Large-Scale Brain Networks during Gambling Using SEEG. Brain Sci. 2024, 14, 773.
Version
Final published version
Abstract
Decision-making is a cognitive process involving working memory, executive function, and attention. However, the connectivity of large-scale brain networks during decision-making is not well understood. This is because gaining access to large-scale brain networks in humans is still a novel process. Here, we used SEEG (stereoelectroencephalography) to record neural activity from the default mode network (DMN), dorsal attention network (DAN), and frontoparietal network (FN) in ten humans while they performed a gambling task in the form of the card game, “War”. By observing these networks during a decision-making period, we related the activity of and connectivity between these networks. In particular, we found that gamma band activity was directly related to a participant’s ability to bet logically, deciding what betting amount would result in the highest monetary gain or lowest monetary loss throughout a session of the game. We also found connectivity between the DAN and the relation to a participant’s performance. Specifically, participants with higher connectivity between and within these networks had higher earnings. Our preliminary findings suggest that connectivity and activity between these networks are essential during decision-making.
MIT Department
Picower Institute for Learning and Memory
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/brainsci14080773
