Department of Neuroscience and Behavoral Sciences, FMRP, University of Sao Paulo, Ribeirao Preto, Brazil.
Stroke. 2010 Sep;41(9):1921-6. doi: 10.1161/STROKEAHA.110.590471. Epub 2010 Aug 12.
Functional MRI is a powerful tool to investigate recovery of brain function in patients with stroke. An inherent assumption in functional MRI data analysis is that the blood oxygenation level-dependent (BOLD) signal is stable over the course of the examination. In this study, we evaluated the validity of such assumption in patients with chronic stroke.
Fifteen patients performed a simple motor task with repeated epochs using the paretic and the unaffected hand in separate runs. The corresponding BOLD signal time courses were extracted from the primary and supplementary motor areas of both hemispheres. Statistical maps were obtained by the conventional General Linear Model and by a parametric General Linear Model.
Stable BOLD amplitude was observed when the task was executed with the unaffected hand. Conversely, the BOLD signal amplitude in both primary and supplementary motor areas was progressively attenuated in every patient when the task was executed with the paretic hand. The conventional General Linear Model analysis failed to detect brain activation during movement of the paretic hand. However, the proposed parametric General Linear Model corrected the misdetection problem and showed robust activation in both primary and supplementary motor areas.
The use of data analysis tools that are built on the premise of a stable BOLD signal may lead to misdetection of functional regions and underestimation of brain activity in patients with stroke. The present data urge the use of caution when relying on the BOLD response as a marker of brain reorganization in patients with stroke.
功能磁共振成像(fMRI)是研究脑卒中患者脑功能恢复的有力工具。在 fMRI 数据分析中,一个固有假设是血氧水平依赖(BOLD)信号在检查过程中是稳定的。在这项研究中,我们评估了这一假设在慢性脑卒中患者中的有效性。
15 名患者在单独的运行中使用瘫痪侧和非瘫痪侧手进行了简单的运动任务,重复多个时段。从双侧大脑的初级运动区和辅助运动区提取相应的 BOLD 信号时间序列。通过传统的一般线性模型和参数化一般线性模型获得统计图谱。
当使用非瘫痪侧手执行任务时,观察到稳定的 BOLD 幅度。相反,当使用瘫痪侧手执行任务时,每位患者的初级和辅助运动区的 BOLD 信号幅度都逐渐减弱。传统的一般线性模型分析未能检测到瘫痪手运动时的大脑激活。然而,所提出的参数化一般线性模型纠正了误检问题,并显示出初级和辅助运动区的稳健激活。
使用基于 BOLD 信号稳定前提的数据分析工具可能导致脑卒中患者的功能区域误检和大脑活动低估。本研究数据提醒在依赖 BOLD 反应作为脑卒中患者脑重组标志物时要谨慎使用。