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Mild Cognitive Impairment, a transitional stage in which the patient is not cognitively normal but do not meet the criteria for specific dementia, is associated with high risk for development of Alzheimer\u2019s disease. Thus, non-invasive techniques to predict the individual\u2019s risk to develop Alzheimer\u2019s disease can be very helpful, considering the possibility of early treatment. Diffusion Tensor Imaging, as an indicator of cerebral white matter integrity, may detect and track earlier evidence of white matter abnormalities in patients developing Alzheimer\u2019s disease. Here we performed a voxel-based analysis of fractional anisotropy in three classes of subjects: Alzheimer\u2019s disease patients, Mild Cognitive Impairment patients, and healthy controls. We performed Support Vector Machine classification between the three groups, using Fisher Score feature selection and Leave-one-out cross-validation. Bilateral intersection of hippocampal cingulum and parahippocampal gyrus (referred as parahippocampal cingulum) is the region that best discriminates Alzheimer\u2019s disease fractional anisotropy values, resulting in an accuracy of 93% for discriminating between Alzheimer\u2019s disease and controls, and 90% between Alzheimer\u2019s disease and Mild Cognitive Impairment. These results suggest that pattern classification of Diffusion Tensor Imaging can help diagnosis of Alzheimer\u2019s disease, specially when focusing on the parahippocampal cingulum.<\/jats:p>","DOI":"10.1038\/s41598-020-59327-2","type":"journal-article","created":{"date-parts":[[2020,2,14]],"date-time":"2020-02-14T06:02:41Z","timestamp":1581660161000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":53,"title":["Fractional Anisotropy changes in Parahippocampal Cingulum due to Alzheimer\u2019s Disease"],"prefix":"10.1038","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8939-6395","authenticated-orcid":false,"given":"Josu\u00e9 Luiz","family":"Dalboni da Rocha","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8721-9053","authenticated-orcid":false,"given":"Ivanei","family":"Bramati","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabriel","family":"Coutinho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fernanda","family":"Tovar Moll","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ranganatha","family":"Sitaram","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,2,14]]},"reference":[{"key":"59327_CR1","doi-asserted-by":"publisher","unstructured":"Alzheimer\u2019s Association Alzheimer\u2019s Disease Facts and Figures. 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