Hartzell James F, Tobia Michael J, Davis Ben, Cashdollar Nathan M, Hasson Uri
Center for Mind/Brain Sciences (CIMeC), University of Trento, Italy.
Hum Brain Mapp. 2015 Feb;36(2):519-37. doi: 10.1002/hbm.22644. Epub 2014 Oct 8.
Neuroimaging studies have shown that task demands affect connectivity patterns in the human brain not only during task performance but also during subsequent rest periods. Our goal was to determine whether ongoing connectivity patterns during rest contain information about both the current rest state, as well as the recently terminated task. Our experimental design consisted of two types of active tasks that were followed by two types of low-demand rest states. Using this design, we examined whether hippocampal functional connectivity during wakeful rest reflects both features of a recently terminated task and those of the current resting-state condition. We identified four types of networks: (i) one whose connectivity with the hippocampus was determined only by features of a recently terminated task, (ii) one whose connectivity was determined only by features of the current resting-state, (iii) one whose connectivity reflected aspects of both the recently terminated task and ongoing resting-state features, and (iv) one whose connectivity with the hippocampus was strong, but not affected by any external factor. The left and right hippocampi played distinct roles in these networks. These findings suggest that ongoing hippocampal connectivity networks mediate information integration across multiple temporal scales, with hippocampal laterality moderating these connectivity patterns.
神经影像学研究表明，任务需求不仅会在任务执行期间，还会在随后的休息期间影响人类大脑的连接模式。我们的目标是确定休息期间持续的连接模式是否包含有关当前休息状态以及最近终止任务的信息。我们的实验设计包括两种类型的主动任务，随后是两种类型的低需求休息状态。使用这种设计，我们研究了清醒休息期间海马体的功能连接是否反映了最近终止任务的特征和当前休息状态条件的特征。我们确定了四种类型的网络：（i）一种与海马体的连接仅由最近终止任务的特征决定；（ii）一种其连接仅由当前休息状态的特征决定；（iii）一种其连接反映了最近终止任务和正在进行的休息状态特征的方面；（iv）一种与海马体的连接很强，但不受任何外部因素影响。左右海马体在这些网络中发挥着不同的作用。这些发现表明，持续的海马体连接网络介导了跨多个时间尺度的信息整合，海马体的偏侧性调节了这些连接模式。
