Lin Ai-Ling, Laird Angela R, Fox Peter T, Gao Jia-Hong
Research Imaging Institute, The University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA.
Neurol Res Int. 2012;2012:907409. doi: 10.1155/2012/907409. Epub 2011 Sep 21.
Multimodal magnetic resonance imaging (MRI) techniques have been developed to noninvasively measure structural, metabolic, hemodynamic and functional changes of the brain. These advantages have made MRI an important tool to investigate neurodegenerative disorders, including diagnosis, disease progression monitoring, and treatment efficacy evaluation. This paper discusses recent findings of the multimodal MRI in the context of surrogate biomarkers for identifying the risk for AD in normal cognitive (NC) adults, brain anatomical and functional alterations in amnestic mild cognitive impairment (aMCI), and Alzheimer's disease (AD) patients. Further developments of these techniques and the establishment of promising neuroimaging biomarkers will enhance our ability to diagnose aMCI and AD in their early stages and improve the assessment of therapeutic efficacy in these diseases in future clinical trials.
多模态磁共振成像(MRI)技术已被开发用于无创测量大脑的结构、代谢、血流动力学和功能变化。这些优势使MRI成为研究神经退行性疾病的重要工具,包括诊断、疾病进展监测和治疗效果评估。本文讨论了多模态MRI在正常认知(NC)成年人中识别AD风险的替代生物标志物、遗忘型轻度认知障碍(aMCI)和阿尔茨海默病(AD)患者的脑解剖和功能改变方面的最新研究结果。这些技术的进一步发展以及有前景的神经影像学生物标志物的建立将提高我们在早期诊断aMCI和AD的能力,并在未来的临床试验中改善对这些疾病治疗效果的评估。