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Abstract #2283

Prediction of MCI conversion using sulcal morphometry

Giovanni Sighinolfi1, Micaela Mitolo2,3, Fabrizio Pizzagalli4, Raffaele Lodi1,2, Michelangelo Stanzani-Maserati5, Daniel Remondini6, Sabina Capellari1,5, Rocco Liguori1,5, Caterina Tonon1,2, and Claudia Testa2,6
1Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy, 2Functional and Molecular Neuroimaging Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy, 3Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy, 4Department of Neurosciences "Rita Levi Montalcini", University of Torino, Torino, Italy, 5UOC Clinica Neurologica, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy, 6Department of Physics and Astronomy, University of Bologna, Bologna, Italy


We investigated the capabilities of brain sulcal morphometry and cortical thickness (CT) to predict the conversion from MCI stage to AD and explored the correlation with neuropsychological performance. Sulcal surface, mean depth, length and width were analysed. The width showed the best capability to discriminate between HC, MCI and AD (also in comparison to CT), and was able to distinguish at baseline converter MCI from non-converter MCI. Moreover, the width of specific frontal sulci correlated with memory and language performance.

Sulcal morphometry emerged as a useful tool, capable of providing potential biomarkers for MCI conversion.

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