Department of Psychology, Center for Brain Science, Harvard University, Cambridge Massachusetts, USA.
Nat Neurosci. 2013 Jul;16(7):832-7. doi: 10.1038/nn.3423. Epub 2013 Jun 25.
Intrinsic functional connectivity magnetic resonance imaging (fcMRI) has emerged as a powerful tool for mapping large-scale networks in the human brain. Robust and reliable functionally coupled networks can be detected in individuals that echo many known features of anatomical organization. Features of brain organization have been discovered, including descriptions of distributed large-scale networks interwoven throughout association cortex, interactions (including anticorrelations) between brain networks and insights into the topography of subcortical structures. But interpreting fcMRI is complicated by several factors. Functional coupling changes dynamically, suggesting that it is constrained by, but not fully dictated by, anatomic connectivity. Critically to study of between-group differences, fcMRI is sensitive to head motion and to differences in the mental states of participants during the scans. We discuss the potential of fcMRI in the context of its limitations.
静息态功能磁共振成像（fcMRI）已成为一种强大的工具，可用于绘制人类大脑的大规模网络图谱。在个体中可以检测到稳健可靠的功能耦合网络，这些网络反映了许多已知的解剖组织特征。已经发现了大脑组织的特征，包括对分布在联合皮层中的大型网络的描述、大脑网络之间的相互作用（包括反相关）以及对皮质下结构拓扑的深入了解。但 fcMRI 的解释受到多种因素的影响。功能耦合是动态变化的，这表明它受到解剖连接的限制，但不是完全由其决定。对于组间差异的研究至关重要的是，fcMRI 对头部运动以及参与者在扫描过程中的精神状态差异敏感。我们在讨论其局限性的背景下探讨了 fcMRI 的潜力。
