Goal-directed processing of naturalistic stimuli modulates large-scale functional connectivity
Goal-directed processing of naturalistic stimuli modulates large-scale functional connectivity
复制标题
自然刺激的目标导向处理调节大规模功能连接
DOI：
10.3389/fnins.2018.01003
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发表时间：
2019-01
影响因子：
4.3
通讯作者：
Li Yuanqing
中科院分区：
文献类型：
--
作者：
Wen Zhenfu;Yu Tianyou;Yang Xinbin;Li Yuanqing
人类根据自己的内部目标选择性地处理外部信息。先前的研究已经发现，大脑皮层的活动和特定皮层区域（如额顶叶区域）之间的相互作用受到行为目标的调节。然而，这些结果在很大程度上是基于简单的刺激和任务规则在实验室设置。在这里，我们研究了自上而下的目标如何调节全脑功能连接（FC）在自然的条件下。对公开可用的功能性磁共振成像（fMRI）数据集（OpenfMRI数据库，登录号：ds000233）进行分析，所述数据集收集在对包含在自然主义视频剪辑中的行为动物进行行为或分类判断的12名参与者上。任务诱发的FC模式的参与者使用一种新的主体间功能相关（ISFC）的方法，提高了信噪比检测任务引起的区域间相关性相比，标准FC分析提取。使用多变量模式分析（MVPA）方法，我们成功地预测了任务目标的参与者与ISFC模式，但不是与标准的FC模式，表明ISFC方法可能是一个有效的工具，探索微妙的网络之间的差异，大脑状态。我们进一步研究了几个典型的大脑网络的预测能力，发现许多网络内和跨网络的ISFC措施支持任务目标分类。我们的研究结果表明，自然刺激的目标导向处理系统地调节大规模的大脑网络，但不限于局部神经活动或特定区域的连接。
Humans selectively process external information according to their internal goals. Previous studies have found that cortical activity and interactions between specific cortical areas such as frontal-parietal regions are modulated by behavioral goals. However, these results are largely based on simple stimuli and task rules in laboratory settings. Here, we investigated how top-down goals modulate whole-brain functional connectivity (FC) under naturalistic conditions. Analyses were conducted on a publicly available functional magnetic resonance imaging (fMRl) dataset (OpenfMRl database, accession number: ds000233) collected on twelve participants who made either behavioral or taxonomic judgments of behaving animals containing in naturalistic video clips. The task-evoked FC patterns of the participants were extracted using a novel inter-subject functional correlation (ISFC) method that increases the signal-to-noise ratio for detecting task-induced inter-regional correlation compared with standard FC analysis. Using multivariate pattern analysis (MVPA) methods, we successfully predicted the task goals of the participants with ISFC patterns but not with standard FC patterns, suggests that the ISFC method may be an efficient tool for exploring subtle network differences between brain states. We further examined the predictive power of several canonical brain networks and found that many within-network and across-network ISFC measures supported task goals classification. Our findings suggest that goal-directed processing of naturalistic stimuli systematically modulates large-scale brain networks but is not limited to the local neural activity or connectivity of specific regions.
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影响因子：
5.7
作者：
Mišić B;Sporns O
通讯作者：
Sporns O
DOI：
10.1523/jneurosci.1776-08.2008
发表时间：
2008-10-01
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Bressler SL;Tang W;Sylvester CM;Shulman GL;Corbetta M
通讯作者：
Corbetta M
DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
3
作者：
Wendl MC
通讯作者：
Wendl MC
人脑的注意力系统：20年后。
影响因子：
13.9
作者：
Petersen SE;Posner MI
通讯作者：
Posner MI