1. Brain status modeling with non-negative projective dictionary learning
- Author
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Zhang, M. (Mingli), Desrosiers, C. (Christian), Guo, Y. (Yuhong), Khundrakpam, B. (Budhachandra), Al-Sharif, N. (Noor), Kiar, G. (Greg), Valdes-Sosa, P. (Pedro), Poline, J.-B. (Jean-Baptiste), Evans, A. (Alan), Zhang, M. (Mingli), Desrosiers, C. (Christian), Guo, Y. (Yuhong), Khundrakpam, B. (Budhachandra), Al-Sharif, N. (Noor), Kiar, G. (Greg), Valdes-Sosa, P. (Pedro), Poline, J.-B. (Jean-Baptiste), and Evans, A. (Alan)
- Abstract
Accurate prediction of individuals’ brain age is critical to establish a baseline for normal brain development. This study proposes to model brain development with a novel non-negative projective dictionary learning (NPDL) approach, which learns a discriminative representation of multi-modal neuroimaging data for predicting brain age. Our approach encodes the variability of subjects in different age groups using separate dictionaries, projecting features into a low-dimensional manifold such that information is preserved only for the corresponding age group. The proposed framework improves upon previous discriminative dictionary learning methods by inco
- Published
- 2019
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