Compagne Charline, Mayer Juliana Teti, Gabriel Damien, Comte Alexandre, Magnin Eloi, Bennabi Djamila, Tannou Thomas
UR LINC, Université de Franche-Comté, Besançon, France.
CIC-1431 INSERM, Centre Hospitalier Universitaire, Besançon, France.
Front Neurosci. 2023 Sep 18;17:1237734. doi: 10.3389/fnins.2023.1237734. eCollection 2023.
The Balloon Analog Risk Task (BART), a computerized behavioral paradigm, is one of the most common tools used to assess the risk-taking propensity of an individual. Since its initial behavioral version, the BART has been adapted to neuroimaging technique to explore brain networks of risk-taking behavior. However, while there are a variety of paradigms adapted to neuroimaging to date, no consensus has been reached on the best paradigm with the appropriate parameters to study the brain during risk-taking assessed by the BART. In this review of the literature, we aimed to identify the most appropriate BART parameters to adapt the initial paradigm to neuroimaging and increase the reliability of this tool.
A systematic review focused on the BART versions adapted to neuroimaging was performed in accordance with PRISMA guidelines.
A total of 105 articles with 6,879 subjects identified from the PubMed database met the inclusion criteria. The BART was adapted in four neuroimaging techniques, mostly in functional magnetic resonance imaging or electroencephalography settings.
First, to adapt the BART to neuroimaging, a delay was included between each trial, the total number of inflations was reduced between 12 and 30 pumps, and the number of trials was increased between 80 and 100 balloons, enabling us to respect the recording constraints of neuroimaging. Second, explicit feedback about the balloon burst limited the decisions under ambiguity associated with the first trials. Third, employing an outcome index that provides more informative measures than the standard average pump score, along with a model incorporating an exponential monotonic increase in explosion probability and a maximum explosion probability between 50 and 75%, can yield a reliable estimation of risk profile. Additionally, enhancing participant motivation can be achieved by increasing the reward in line with the risk level and implementing payment based on their performance in the BART. Although there is no universal adaptation of the BART to neuroimaging, and depending on the objectives of a study, an adjustment of parameters optimizes its evaluation and clinical utility in assessing risk-taking.
气球模拟风险任务（BART）是一种计算机化行为范式，是评估个体冒险倾向最常用的工具之一。自其最初的行为版本以来，BART已被应用于神经成像技术，以探索冒险行为的脑网络。然而，尽管到目前为止有多种适用于神经成像的范式，但对于在通过BART评估冒险行为时研究大脑的最佳范式及合适参数尚未达成共识。在这篇文献综述中，我们旨在确定最合适的BART参数，以使初始范式适用于神经成像并提高该工具的可靠性。
根据PRISMA指南对适用于神经成像的BART版本进行了系统综述。
从PubMed数据库中识别出的105篇文章共6879名受试者符合纳入标准。BART被应用于四种神经成像技术，主要是在功能磁共振成像或脑电图设置中。
首先，为使BART适用于神经成像，在每次试验之间设置了延迟，充气总数减少到12至30次泵压，试验次数增加到80至100个气球，这使我们能够遵守神经成像的记录限制。其次，关于气球爆裂的明确反馈限制了与最初试验相关的模糊性下的决策。第三，采用一个比标准平均泵压得分提供更多信息性测量的结果指数，以及一个包含爆炸概率指数单调增加和最大爆炸概率在50%至75%之间的模型，可以可靠地估计风险概况。此外，通过根据风险水平增加奖励并根据他们在BART中的表现实施支付，可以提高参与者的动机。虽然没有BART对神经成像的通用适配，并且根据研究目的，参数调整可优化其在评估冒险行为中的评估和临床效用。
