Investigating microstructural variation in the human hippocampus using non-negative matrix factorization

• Published in: NeuroImage (Orlando, Fla.) Vol. 207; p. 116348
• Main Authors: Patel, Raihaan, Steele, Christopher J., Chen, Anthony G.X., Patel, Sejal, Devenyi, Gabriel A., Germann, Jürgen, Tardif, Christine L., Chakravarty, M. Mallar
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.02.2020; Elsevier Limited; Elsevier
• Subjects: Algorithms; Anisotropy; Brain - pathology; Cognition & reasoning; Decomposition; Diffusion Magnetic Resonance Imaging - methods; Female; Hippocampus; Hippocampus - pathology; Humans; Image Processing, Computer-Assisted - methods; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Medical imaging; Microstructure; MRI; Multimodal; Neuroimaging; Neuroimaging - methods; Non-negative matrix factorization; Population; Principal components analysis; Studies; White Matter - pathology; Multimodal; Non-negative matrix factorization; Microstructure; MRI; Hippocampus

In this work we use non-negative matrix factorization to identify patterns of microstructural variance in the human hippocampus. We utilize high-resolution structural and diffusion magnetic resonance imaging data from the Human Connectome Project to query hippocampus microstructure on a multivariate...