Early detection of MCI and dementia using multidimensional analysis of structural MRI by computational methods

老年痴呆症是一个重大的公共卫生问题，而轻度认知障碍(MCI)更是常见。我们建议使用我们团队最新的计算解剖学算法来开发新的多维成像生物标记物，用于早期检测由于MCI痴呆引起的大脑解剖变化。我们的目标是识别MCI痴呆的早期特征，从而使早期治疗成为可能。本研究的完成将为临床医生提供早期诊断的新方法。

Dementia in elderly is a major public health problem, and mild cognitive impairment (MCI), is even more common. We propose to use recent computational anatomy algorithms from our group to develop novel multidimensional imaging biomarkers for early detection of brain anatomical changes due to MCI-dementia. We aim at identifying early signatures of MCI-dementia, thus making early treatment possible. The completion of our research will provide clinicians with new methods for the early diagnosis.