Taylor Christopher, Breault Macauley Smith, Dorman Daniel, Greene Patrick, Sacré Pierre, Sampson Aaron, Niebur Ernst, Stuphorn Veit, González-Martínez Jorge, Sarma Sridevi
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Brain Sci. 2024 Jul 31;14(8):773. doi: 10.3390/brainsci14080773.
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.
决策是一个涉及工作记忆、执行功能和注意力的认知过程。然而，决策过程中大规模脑网络的连通性尚未得到充分理解。这是因为在人类中获取大规模脑网络仍然是一个新的过程。在这里，我们使用立体脑电图（SEEG）记录了10名人类在进行纸牌游戏“战争”形式的赌博任务时，默认模式网络（DMN）、背侧注意网络（DAN）和额顶叶网络（FN）的神经活动。通过在决策期观察这些网络，我们关联了这些网络之间的活动和连通性。特别是，我们发现伽马波段活动与参与者进行逻辑下注的能力直接相关，即在整个游戏过程中决定何种下注金额将带来最高货币收益或最低货币损失。我们还发现了DAN与参与者表现之间的连通性。具体而言，这些网络之间及内部连通性较高的参与者收益更高。我们的初步研究结果表明，这些网络之间的连通性和活动在决策过程中至关重要。
