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Computational and Mathematical Methods in Medicine
Volume 2017, Article ID 5271627, 10 pages
https://doi.org/10.1155/2017/5271627
Research Article

Topological Measurements of DWI Tractography for Alzheimer’s Disease Detection

1Università degli Studi di Bari “A. Moro”, Via Orabona 4, 70123 Bari, Italy
2Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Via Orabona 4, 70123 Bari, Italy

Correspondence should be addressed to Nicola Amoroso; ti.nfni.ab@osoroma.alocin

Received 4 August 2016; Accepted 27 October 2016; Published 2 March 2017

Academic Editor: Ayman El-Baz

Copyright © 2017 Nicola Amoroso et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • R. Bellotti, A. Lombardi, C. Guaragnella, N. Amoroso, A. Tateo, and S. Tangaro, “Mild Traumatic Brain Injury Outcome Prediction Based on Both Graph and K-nn Methods,” Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, vol. 10154, pp. 271–281, 2017. View at Publisher · View at Google Scholar
  • Eufemia Lella, Nicola Amoroso, Roberto Bellotti, Marianna La Rocca, Tommaso Maggipinto, Alfonso Monaco, Domenico Diacono, and Sabina Tangaro, “Machine learning for the assessment of Alzheimer's disease through DTI,” Proceedings of SPIE - The International Society for Optical Engineering, vol. 10396, 2017. View at Publisher · View at Google Scholar
  • Marianna La Rocca, Nicola Amoroso, Alfonso Monaco, Roberto Bellotti, and Sabina Tangaro, “A novel approach to brain connectivity reveals early structural changes in Alzheimer’s disease,” Physiological Measurement, vol. 39, no. 7, pp. 074005, 2018. View at Publisher · View at Google Scholar
  • Qi Zhu, Jiashuang Huang, and Xijia Xu, “Non-negative discriminative brain functional connectivity for identifying schizophrenia on resting-state fMRI,” BioMedical Engineering OnLine, vol. 17, no. 1, 2018. View at Publisher · View at Google Scholar
  • Thais Guimarães Martins Nery, Esdras Matheus Silva, Raphael Tavares, and Fabio Passetti, “The Challenge to Search for New Nervous System Disease Biomarker Candidates: the Opportunity to Use the Proteogenomics Approach,” Journal of Molecular Neuroscience, 2018. View at Publisher · View at Google Scholar
  • Alberto Marcos, Cristina Gomez-Fernandez, Miguel Yus, Ana Barabash, Laura Marcos-Arribas, Cristina Lopez-Mico, Manuela Jorquera-Moya, Cristina Fernandez-Perez, Pedro Montejo, Jose Antonio Cabranes-Diaz, Juan Arrazola-García, and Fernando Maestu, “Diffusion tensor imaging measures of brain connectivity for the early diagnosis of Alzheimer’s disease,” Brain Connectivity, 2019. View at Publisher · View at Google Scholar