Whole-brain connectivity dynamics reflect both task-specific and individual-specific modulation: A multitask study.

Whole-brain connectivity dynamics reflect both task-specific and individual-specific modulation: A multitask study.
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DOI:
10.1016/j.neuroimage.2017.05.050
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发表时间:
2018-10-15
期刊:
影响因子:
5.7
通讯作者:
Mitra S
Mitra S
中科院分区:
医学1区
文献类型:
--
作者:
Xie H;Calhoun VD;Gonzalez-Castillo J;Damaraju E;Miller R;Bandettini PA;Mitra S

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功能连通性(Function Connection,FC)已被广泛用于研究时间相关和空间分布的脑区的功能组织。最近对FC动力学的研究,通过窗口相关性进行量化,为分析动态的、上下文相关的脑网络重构提供了新的见解。已经确定了一组重复出现的静止全脑连接模式,称为FC状态,假设反映了潜在的认知过程或精神状态。我们假设,给定受试者的平均FC信息代表着对组水平FC动态的重大贡献。我们表明,被试特定的FC特征,称为FC个性,可以被移除以增加对认知相关FC状态的敏感性。为了评估FC个性和任务特定的FC调制对群体水平FC动力学分析的影响,我们生成并分析了四个被试在四种认知条件下(休息、简单数学、两背记忆和视觉注意任务)的小组研究。我们还提出了一个模型来定量评估两个因素,即被试特定的调制和任务特定的调制对FC动力学的影响。我们发现,FC个性是群体水平FC变异性的一个主要因素,并且在移除个体的连接性配置文件后,嵌入的认知相关的FC状态是清晰可见的。我们的结果挑战了目前对FC状态的理解,并强调了个体异质性在连通性动力学分析中的重要性。
Functional connectivity (FC) has been widely used to study the functional organization of temporally correlated and spatially distributed brain regions. Recent studies of FC dynamics, quantified by windowed correlations, provide new insights to analyze dynamic, context-dependent reconfiguration of brain networks. A set of reoccurring whole-brain connectivity patterns at rest, referred to as FC states, have been identified, hypothetically reflecting underlying cognitive processes or mental states. We posit that the mean FC information for a given subject represents a significant contribution to the group-level FC dynamics. We show that the subject-specific FC profile, termed as FC individuality, can be removed to increase sensitivity to cognitively relevant FC states. To assess the impact of the FC individuality and task-specific FC modulation on the group-level FC dynamics analysis, we generate and analyze group studies of four subjects engaging in four cognitive conditions (rest, simple math, two-back memory, and visual attention task). We also propose a model to quantitatively evaluate the effect of two factors, namely, subject-specific and task-specific modulation on FC dynamics. We show that FC individuality is a predominant factor in group-level FC variability, and the embedded cognitively relevant FC states are clearly visible after removing the individual’s connectivity profile. Our results challenge the current understanding of FC states and emphasize the importance of individual heterogeneity in connectivity dynamics analysis.
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