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

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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.