[en] 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.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Taylor, Christopher; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
Breault, Macauley Smith ; The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Dorman, Daniel ; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
Greene, Patrick; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
Sacré, Pierre ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Robotique intelligente
Sampson, Aaron; Solomon Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, USA
Niebur, Ernst; Solomon Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, USA
Stuphorn, Veit; Solomon Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, USA
González-Martínez, Jorge; School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
Sarma, Sridevi; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
Language :
English
Title :
An Exploratory Study of Large-Scale Brain Networks during Gambling Using SEEG
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