Changing brain connectivity dynamics: From early childhood to adulthood.
Changing brain connectivity dynamics: From early childhood to adulthood.
复制标题
DOI：
10.1002/hbm.23896
复制
发表时间：
2018-03
影响因子：
4.8
通讯作者：
Calhoun VD
中科院分区：
文献类型：
--
作者：
Faghiri A;Stephen JM;Wang YP;Wilson TW;Calhoun VD
大脑在青春期期间的成熟一直是最近研究的主题。以前的工作已经评估了形态计量学的变化和功能连接性的变化。然而，大多数静息状态的fMRI研究都集中在静态连接上。在这里，我们研究了年龄/成熟度与大脑功能连通性动态之间的关系。利用来自PING研究的421名年龄在3-22岁之间的受试者的静息fMRI数据集，我们首先进行分组ICA以提取独立分量及其时间过程。接下来，通过滑动窗口计算动态功能网络连通性(DFNC)，然后将连通性模式聚类成5种状态。最后，我们评估了年龄与每个参与者在每个状态花费的时间以及不同状态之间的转换之间的关系。结果显示，年龄较大的参与者倾向于花更多的时间处于反映整个大脑更强的连接模式的状态。此外，年龄与状态转变之间的关系是对称的。这可能意味着个体在一组特定的状态中会随着时间的推移而改变功能连接。总体而言，结果表明，在检查儿童时期的大脑发育时，动态功能连接是一个重要因素。
Brain maturation through adolescence has been the topic of recent studies. Previous works have evaluated changes in morphometry and also changes in functional connectivity. However, most resting state fMRI studies have focused on static connectivity. Here we examine the relationship between age/maturity and the dynamics of brain functional connectivity. Utilizing a resting fMRI dataset comprised of 421 subjects ages 3–22 from the PING study, we first performed group ICA to extract independent components and their timecourses. Next, dynamic functional network connectivity (dFNC) was calculated via a sliding window followed by clustering of connectivity patterns into 5 states. Finally, we evaluated the relationship between age and the amount of time each participant spent in each state as well as the transitions among different states. Results showed that older participants tend to spend more time in states which reflect overall stronger connectivity patterns throughout the brain. In addition, the relationship between age and state transition is symmetric. This can mean individuals change functional connectivity through time within a specific set of states. On the whole, results indicated that dynamic functional connectivity is an important factor to consider when examining brain development across childhood.
登录
查看更多内容
影响因子：
3.7
作者：
Fransson, Peter;Aden, Ulrika;Lagercrantz, Hugo
通讯作者：
Lagercrantz, Hugo
影响因子：
3.7
作者：
Allen, Elena A.;Damaraju, Eswar;Calhoun, Vince D.
通讯作者：
Calhoun, Vince D.
用于 fMRI 数据分析的群体信息引导 ICA
影响因子：
5.7
作者：
Du, Yuhui;Fan, Yong
通讯作者：
Fan, Yong
影响因子：
17.6
作者：
Calhoun VD;Adalı T
通讯作者：
Adalı T
影响因子：
16.2
作者：
Calhoun, Vince D.;Miller, Robyn;Pearlson, Godfrey;Adali, Tulay
通讯作者：
Adali, Tulay