North Florida/South Georgia Veterans Health System, Gainesville, FL, USA; Department of Psychiatry, University of Florida, Gainesville, FL, USA.
Department of Statistics, University of Florida, Gainesville, FL, USA.
Neuroimage. 2013 Jul 15;75:249-261. doi: 10.1016/j.neuroimage.2011.06.056. Epub 2011 Sep 6.
Parkinson disease (PD) is characterized by a number of motor and behavioral abnormalities that could be considered deficits of a "no task" or "resting" state, including resting motor findings and defects in emerging from a resting state (e.g., resting tremor, elevated resting tone, abulia, akinesia, apathy). PET imaging, and recently, the MRI technique of continuous arterial spin labeling (CASL) have shown evidence of changes in metabolic patterns in individuals with PD. The purpose of this study was to learn if the presence of PD could be "predicted" based on resting fluctuations of the BOLD signal. Participants were 15 healthy controls, 14 subjects with PD, and 1 subject who presented as a control but later developed PD. The amplitude of the low frequency fluctuation (ALFF) was used as an index of brain activity level in the resting state. Participants with PD using this index showed a reliable decrease in activity in a number of regions, including the supplementary motor cortex, the mesial prefrontal cortex, the right middle frontal gyrus, and the left cerebellum (lobule VII/VIII) as well as increased activity in the right cerebellum (lobule IV/V). Using a cross validation approach we term "Reliability Mapping of Regional Differences" (RMRD) to analyze our sample, we were able to reliably distinguish participants with PD from controls with 92% sensitivity and 87% specificity. Our "pre-diagnostic" subject segregated in our analysis with the PD group. These results suggest that resting fMRI should be considered for development as a biomarker and analytical tool for evaluation of PD.
帕金森病（PD）的特征是许多运动和行为异常，这些异常可被视为“无任务”或“休息”状态的缺陷，包括休息时的运动表现和从休息状态中恢复的缺陷（例如，静止性震颤、静息张力增高、意志缺失、运动不能、淡漠）。正电子发射断层扫描（PET）成像，以及最近的磁共振成像技术（连续动脉自旋标记，CASL），已经显示出 PD 患者代谢模式的变化证据。本研究旨在了解是否可以根据 BOLD 信号的静息波动来“预测” PD 的存在。参与者包括 15 名健康对照者、14 名 PD 患者和 1 名表现为对照者但后来发展为 PD 的患者。低频波动幅度（ALFF）被用作静息状态下大脑活动水平的指标。使用该指标的 PD 患者表现出多个区域活动的可靠下降，包括辅助运动皮层、内侧前额叶皮层、右侧额中回和左侧小脑（VII/VIII 叶），以及右侧小脑（IV/V 叶）的活动增加。使用交叉验证方法，我们称之为“区域差异可靠性映射”（RMRD）来分析我们的样本，我们能够以 92%的敏感性和 87%的特异性可靠地区分 PD 患者和对照组。我们的“预诊断”患者在我们的分析中与 PD 组分开。这些结果表明，静息 fMRI 应该被考虑作为一种生物标志物和分析工具来评估 PD。
