神经影像学
磁共振成像
疾病
医学
预测(人工智能)
神经科学
阿尔茨海默病
放射科
心理学
病理
计算机科学
人工智能
作者
Arosh S. Perera Molligoda Arachchige,Anton Kristoffer Garner
出处
期刊:AIMS neuroscience
[AIMS Press]
日期:2023-01-01
卷期号:10 (4): 401-422
被引量:8
标识
DOI:10.3934/neuroscience.2023030
摘要
Seven tesla magnetic resonance imaging (7T MRI) is known to offer a superior spatial resolution and a signal-to-noise ratio relative to any other non-invasive imaging technique and provides the possibility for neuroimaging researchers to observe disease-related structural changes, which were previously only apparent on post-mortem tissue analyses. Alzheimer's disease is a natural and widely used subject for this technology since the 7T MRI allows for the anticipation of disease progression, the evaluation of secondary prevention measures thought to modify the disease trajectory, and the identification of surrogate markers for treatment outcome. In this editorial, we discuss the various neuroimaging biomarkers for Alzheimer's disease that have been studied using 7T MRI, which include morphological alterations, molecular characterization of cerebral T2*-weighted hypointensities, the evaluation of cerebral microbleeds and microinfarcts, biochemical changes studied with MR spectroscopy, as well as some other approaches. Finally, we discuss the limitations of the 7T MRI regarding imaging Alzheimer's disease and we provide our outlook for the future.
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