Distinct Patterns of Functional Connectivity During the Comprehension of Natural, Narrative Speech
Distinct Patterns of Functional Connectivity During the Comprehension of Natural, Narrative Speech
复制标题
理解自然叙事语音期间功能连接的独特模式
DOI：
10.1142/s0129065720500070
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发表时间：
2020-02
影响因子：
8
通讯作者：
Cong Fengyu
中科院分区：
文献类型：
--
作者：
Zhu Yongjie;Liu Jia;Ristaniemi Tapani;Cong Fengyu
最近的连续任务研究，如叙述性言语理解，表明与静息状态相比，大脑功能连接（FC）的波动被改变和增强。在这里，我们描述了语音理解和时间反转语音条件下FC的波动。利用源级脑电数据的希尔伯特包络的相关性来量化空间分离脑区之间的FC。在计算FC之前，采用对称多变量泄漏校正来解决信号泄漏问题。基于滑动时间窗估计动态FC。然后，对单独连接和临时连接的FC矩阵进行主成分分析（PCA）以识别FC模式。我们观察到由语音理解引起的FC模式可以用单一主成分来表征。条件特异性FC显示额叶和顶叶脑区之间的相关性降低，额叶和颞叶脑区之间的相关性增加。条件特异性FC的波动以较短的时间为特征，表明动态FC随时间也表现出条件特异性。在语音理解过程中，语域是动态重组的，语域动态模式沿单一变异模式变化。所提出的分析框架对于研究连续任务实验中大脑网络的重组具有一定的价值。
Recent continuous task studies, such as narrative speech comprehension, show that fluctuations in brain functional connectivity (FC) are altered and enhanced compared to the resting state. Here, we characterized the fluctuations in FC during comprehension of speech and time-reversed speech conditions. The correlations of Hilbert envelope of source-level EEG data were used to quantify FC between spatially separate brain regions. A symmetric multivariate leakage correction was applied to address the signal leakage issue before calculating FC. The dynamic FC was estimated based on a sliding time window. Then, principal component analysis (PCA) was performed on individually concatenated and temporally concatenated FC matrices to identify FC patterns. We observed that the mode of FC induced by speech comprehension can be characterized with a single principal component. The condition-specific FC demonstrated decreased correlations between frontal and parietal brain regions and increased correlations between frontal and temporal brain regions. The fluctuations of the condition-specific FC characterized by a shorter time demonstrated that dynamic FC also exhibited condition specificity over time. The FC is dynamically reorganized and FC dynamic pattern varies along a single mode of variation during speech comprehension. The proposed analysis framework seems valuable for studying the reorganization of brain networks during continuous task experiments.
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影响因子：
8
作者：
C. Schmidt;D. Piper;Britta Pester;A. Mierau;H. Witte
通讯作者：
C. Schmidt;D. Piper;Britta Pester;A. Mierau;H. Witte
影响因子：
2.7
作者：
N. Mammone;S. D. Salvo;C. Ieracitano;S. Marino;Angela Marra;F. Corallo;F. Morabito
通讯作者：
N. Mammone;S. D. Salvo;C. Ieracitano;S. Marino;Angela Marra;F. Corallo;F. Morabito
DOI：
10.1016/s0140-6736(55)93080-4
发表时间：
1955-12
期刊：
The Lancet
影响因子：
--
作者：
A. P. Bertwistle
通讯作者：
A. P. Bertwistle
DOI：
10.1523/jneurosci.3684-10.2011
发表时间：
2011-02-23
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Lerner Y;Honey CJ;Silbert LJ;Hasson U
通讯作者：
Hasson U
DOI：
--
发表时间：
--
期刊：
--
影响因子：
--
作者：
Tao Blockindeng
通讯作者：
Tao Blockindeng