Center for Neurodevelopmental Disorders, New York University Child Study Center, New York, NY, USA,
Neuropsychol Rev. 2014 Mar;24(1):63-76. doi: 10.1007/s11065-014-9252-y. Epub 2014 Feb 5.
The ascendancy of functional neuroimaging has facilitated the addition of network-based approaches to the neuropsychologist's toolbox for evaluating the sequelae of brain insult. In particular, intrinsic functional connectivity (iFC) mapping of resting state fMRI (R-fMRI) data constitutes an ideal approach to measuring macro-scale networks in the human brain. Beyond the value of iFC mapping for charting how the functional topography of the brain is altered by insult and injury, iFC analyses can provide insights into experience-dependent plasticity at the macro level of large-scale functional networks. Such insights are foundational to the design of training and remediation interventions that will best facilitate recovery of function. In this review, we consider what is currently known about the origin and function of iFC in the brain, and how this knowledge is informative in neuropsychological settings. We then summarize studies that have examined experience-driven plasticity of iFC in healthy control participants, and frame these findings in terms of a schema that may aid in the interpretation of results and the generation of hypotheses for rehabilitative studies. Finally, we outline some caveats to the R-fMRI approach, as well as some current developments that are likely to bolster the utility of the iFC paradigm for neuropsychology.
功能神经影像学的兴起促进了基于网络的方法在神经心理学家评估脑损伤后遗症的工具包中的应用。特别是,静息态 fMRI(R-fMRI)数据的内在功能连接(iFC)图构成了测量人类大脑宏观网络的理想方法。除了 iFC 映射在描绘大脑功能拓扑结构如何因损伤和损伤而改变的价值之外,iFC 分析还可以深入了解宏观水平上大规模功能网络的经验依赖性可塑性。这些见解是设计培训和修复干预措施的基础,这些措施将最有助于促进功能恢复。在这篇综述中,我们考虑了目前已知的大脑中 iFC 的起源和功能,以及这些知识在神经心理学环境中的信息性。然后,我们总结了研究健康对照组中 iFC 的经验驱动可塑性的研究,并根据一个可能有助于解释结果和产生康复研究假设的方案来阐述这些发现。最后,我们概述了 R-fMRI 方法的一些注意事项,以及一些可能增强 iFC 范式在神经心理学中效用的当前发展。