Improvements in task performance after practice are associated with scale-free dynamics of brain activity.

Improvements in task performance after practice are associated with scale-free dynamics of brain activity.
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DOI:
10.1162/netn_a_00319
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发表时间:
2023
影响因子:
4.7
通讯作者:
Berman, Marc G. G.
Berman, Marc G. G.
中科院分区:
医学3区
文献类型:
--
作者:
Kardan, Omid;Stier, Andrew J. J.;Layden, Elliot A. A.;Choe, Kyoung Whan;Lyu, Muxuan;Zhang, Xihan;Beilock, Sian L. L.;Rosenberg, Monica D. D.;Berman, Marc G. G.

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虽然练习一项任务通常有利于以后在同一任务上的表现,但练习效果存在个体差异。模拟这种差异的一个途径来自研究表明,大脑网络从临界状态附近的操作中提取功能优势,在临界状态下,大脑网络活动更具无标度性。我们假设,更高的无标度信号从功能磁共振成像数据,测量与赫斯特指数(H),表明更接近临界状态。我们测试了在重复任务表现中具有较高H的个体是否会表现出更大的练习效果。在研究1中,参与者在MRI期间进行了两次双n背任务(DNB)(n = 56)。在研究2中,我们使用了来自人类连接组项目样本(n = 599)的两次n-back任务(NBK)数据。在研究3中,参与者在六次运行(n = 44)中执行单词完成任务(CAST)。在所有三项研究中,多变量分析被用来测试是否更高的H与更大的实践相关的性能改善。支持我们的假设,我们发现在所有三项研究中,较高的H模式与参与者的更大表现改善可靠相关。然而,预测的大脑区域是不同的,这表明特定的空间H↑模式不是一般的任务。每个人在重复一项任务时提高的程度不同,这被称为练习效果。研究表明,无标度大脑活动与大脑网络的有利功能特性之间存在关系。因此,我们想知道练习效果是否与这些无标度的大脑动力学有关。我们假设,个体具有更多的无标度功能磁共振成像活动,测量赫斯特指数(H),当重复任务将显示更大的实践效果。在包括不同任务和个体的三个数据集中,我们发现更高的fMRI H与更大的任务绩效改善相关。我们的结论是,表现出更有效的信息处理时,执行认知任务可能是由更高的功能磁共振成像无标度活动指标,并预测进一步改善任务的性能。
Although practicing a task generally benefits later performance on that same task, there are individual differences in practice effects. One avenue to model such differences comes from research showing that brain networks extract functional advantages from operating in the vicinity of criticality, a state in which brain network activity is more scale-free. We hypothesized that higher scale-free signal from fMRI data, measured with the Hurst exponent (H), indicates closer proximity to critical states. We tested whether individuals with higher H during repeated task performance would show greater practice effects. In Study 1, participants performed a dual-n-back task (DNB) twice during MRI (n = 56). In Study 2, we used two runs of n-back task (NBK) data from the Human Connectome Project sample (n = 599). In Study 3, participants performed a word completion task (CAST) across six runs (n = 44). In all three studies, multivariate analysis was used to test whether higher H was related to greater practice-related performance improvement. Supporting our hypothesis, we found patterns of higher H that reliably correlated with greater performance improvement across participants in all three studies. However, the predictive brain regions were distinct, suggesting that the specific spatial H↑ patterns are not task-general. Individuals vary in the degree to which they improve on a task upon repeating it, referred to as practice effects. Research has shown a relationship between scale-free brain activity and advantageous functional properties for the brain networks. Therefore, we asked if practice effects are related to these scale-free brain dynamics. We hypothesized that individuals with more scale-free fMRI activity, measured with Hurst exponent (H), when repeating tasks would show larger practice effects. Across three datasets including different tasks and individuals, we found that higher fMRI H was associated with greater task performance improvement. We conclude that exhibiting more efficient information processing when performing a cognitive task may be indexed by higher fMRI scale-free activity and predict further improvement in task performance.
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