Beason-Held Lori L, Hohman Timothy J, Venkatraman Vijay, An Yang, Resnick Susan M
Laboratory of Behavioral Neuroscience, National Institute on Aging, NIH, 251 Bayview Blvd., Baltimore, MD, 21224-6825, USA.
Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Ave South, Nashville, TN, 37212, USA.
Brain Imaging Behav. 2017 Jun;11(3):859-873. doi: 10.1007/s11682-016-9560-3.
One theory of age-related cognitive decline proposes that changes within the default mode network (DMN) of the brain impact the ability to successfully perform cognitive operations. To investigate this theory, we examined functional covariance within brain networks using regional cerebral blood flow data, measured by O-water PET, from 99 participants (mean baseline age 68.6 ± 7.5) in the Baltimore Longitudinal Study of Aging collected over a 7.4 year period. The sample was divided in tertiles based on longitudinal performance on a verbal recognition memory task administered during scanning, and functional covariance was compared between the upper (improvers) and lower (decliners) tertile groups. The DMN and verbal memory networks (VMN) were then examined during the verbal memory scan condition. For each network, group differences in node-to-network coherence and individual node-to-node covariance relationships were assessed at baseline and in change over time. Compared with improvers, decliners showed differences in node-to-network coherence and in node-to-node relationships in the DMN but not the VMN during verbal memory. These DMN differences reflected greater covariance with better task performance at baseline and both increasing and declining covariance with declining task performance over time for decliners. When examined during the resting state alone, the direction of change in DMN covariance was similar to that seen during task performance, but node-to-node relationships differed from those observed during the task condition. These results suggest that disengagement of DMN components during task performance is not essential for successful cognitive performance as previously proposed. Instead, a proper balance in network processes may be needed to support optimal task performance.
一种与年龄相关的认知衰退理论认为,大脑默认模式网络(DMN)内的变化会影响成功执行认知操作的能力。为了探究这一理论,我们使用由O-水PET测量的局部脑血流量数据,对在7.4年期间收集的巴尔的摩衰老纵向研究中的99名参与者(平均基线年龄68.6±7.5)的脑网络内的功能协方差进行了检查。根据扫描期间进行的言语识别记忆任务的纵向表现,将样本分为三个三分位数组,并比较了上三分位数组(改善者)和下三分位数组(衰退者)之间的功能协方差。然后在言语记忆扫描条件下检查DMN和言语记忆网络(VMN)。对于每个网络,在基线以及随时间的变化中评估节点与网络的相干性以及各个节点与节点之间的协方差关系的组间差异。与改善者相比,衰退者在言语记忆期间DMN中的节点与网络的相干性以及节点与节点的关系上存在差异,但在VMN中没有差异。这些DMN差异反映出,在基线时,衰退者与更好的任务表现具有更大的协方差,并且随着时间的推移,随着任务表现下降,协方差既有增加又有下降。当仅在静息状态下进行检查时,DMN协方差的变化方向与任务执行期间观察到的相似,但节点与节点的关系与任务条件下观察到的不同。这些结果表明,如先前提出的那样,任务执行期间DMN组件的脱离对成功的认知表现并非必不可少。相反,可能需要网络过程中的适当平衡来支持最佳任务表现。