Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
Neuroimage. 2014 Jun;93 Pt 2:276-91. doi: 10.1016/j.neuroimage.2013.07.035. Epub 2013 Jul 19.
Resting State Functional Connectivity (RSFC) reveals properties related to the brain's underlying organization and function. Features related to RSFC signals, such as the locations where the patterns of RSFC exhibit abrupt transitions, can be used to identify putative boundaries between cortical areas (RSFC-Boundary Mapping). The locations of RSFC-based area boundaries are consistent across independent groups of subjects. RSFC-based parcellation converges with parcellation information from other modalities in many locations, including task-evoked activity and probabilistic estimates of cellular architecture, providing evidence for the ability of RSFC to parcellate brain structures into functionally meaningful units. We not only highlight a collection of these observations, but also point out several limitations and observations that mandate careful consideration in using and interpreting RSFC for the purposes of parcellating the brain's cortical and subcortical structures.
静息态功能连接 (RSFC) 揭示了与大脑潜在组织和功能相关的属性。与 RSFC 信号相关的特征，例如 RSFC 表现出突然转变的模式的位置，可用于识别皮质区域之间的假定边界（RSFC 边界映射）。基于 RSFC 的区域边界的位置在独立的受试者群体中是一致的。基于 RSFC 的分割与来自其他模态的分割信息在许多位置上是一致的，包括任务诱发活动和细胞结构的概率估计，为 RSFC 将大脑结构分割成具有功能意义的单元的能力提供了证据。我们不仅强调了这些观察结果的集合，还指出了在使用和解释 RSFC 进行大脑皮质和皮质下结构分割时需要谨慎考虑的几个限制和观察结果。
