Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129.
Proc Natl Acad Sci U S A. 2014 Apr 22;111(16):6058-62. doi: 10.1073/pnas.1317424111. Epub 2014 Apr 7.
Individual differences in brain metrics, especially connectivity measured with functional MRI, can correlate with differences in motion during data collection. The assumption has been that motion causes artifactual differences in brain connectivity that must and can be corrected. Here we propose that differences in brain connectivity can also represent a neurobiological trait that predisposes to differences in motion. We support this possibility with an analysis of intra- versus intersubject differences in connectivity comparing high- to low-motion subgroups. Intersubject analysis identified a correlate of head motion consisting of reduced distant functional connectivity primarily in the default network in individuals with high head motion. Similar connectivity differences were not found in analysis of intrasubject data. Instead, this correlate of head motion was a stable property in individuals across time. These findings suggest that motion-associated differences in brain connectivity cannot fully be attributed to motion artifacts but rather also reflect individual variability in functional organization.
大脑指标的个体差异,特别是使用功能磁共振成像测量的连通性,可能与数据采集过程中的运动差异相关。人们一直认为,运动会导致脑连通性的人为差异,这些差异必须且可以得到纠正。在这里,我们提出,脑连通性的差异也可能代表一种神经生物学特征,使个体易于产生运动差异。我们通过对高运动组和低运动组的连通性进行比较,来支持这种可能性,即连通性的个体差异也可能代表一种神经生物学特征,使个体易于产生运动差异。在组间分析中,我们确定了一个与头部运动相关的指标,该指标主要由高头部运动个体的默认网络中远距离功能连通性降低组成。在分析受试者内数据时,没有发现类似的连通性差异。相反,在个体之间,这个与头部运动相关的指标是一个随时间稳定的特征。这些发现表明,与运动相关的脑连通性差异不能完全归因于运动伪影,而是反映了功能组织的个体差异。