Re-visiting Riemannian geometry of symmetric positive definite matrices for the analysis of functional connectivity.

You, Kisung; Park, Hae-Jeong

You, Kisung; Park, Hae-Jeong.

You K; Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, USA.
Park HJ; Department of Nuclear Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; BK21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Cognitive Science, Yonsei University, Seoul, Republic of Korea; Center for Systems Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, 50-1, Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722 Republic of Korea. Electronic address: parkhj@yonsei

Neuroimage ; 225: 117464, 2021 01 15.

Article en En | MEDLINE | ID: mdl-33075555

Asunto(s)

Conectoma/instrumentación; Imagen por Resonancia Magnética/métodos; Algoritmos; Interpretación Estadística de Datos; Bases de Datos Factuales; Humanos; Análisis de Regresión; Procesamiento de Señales Asistido por Computador

Palabras clave

Functional connectivity; Principal geodesic analysis; Riemannian manifold; Symmetric positive definite

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Conectoma Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

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