Dataset for "Sulcal Morphometry Predicts Mild Cognitive Impairment Conversion to Alzheimer's Disease"
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下载链接：
https://zenodo.org/record/11061262
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资源简介：
The dataset contains the numerical data described and analyzed in the paper "Sulcal Morphometry Predicts Mild Cognitive Impairment Conversion to Alzheimer’s Disease", Sighinolfi et al., J Alzheimers Dis, 2024, doi: 10.3233/JAD-231192.
It consists of the measures, performed using the Morphologist software, of the morphological properties of brain sulci in 87 subjects, as described in the paper.
If interested in the data, please contact the Corresponding Author: Prof. Caterina Tononcaterina.tonon@unibo.it
创建时间：
2024-04-24
