Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Marcela I Cespedes"'
Autor:
Marcela I Cespedes, James McGree, Christopher C Drovandi, Kerrie Mengersen, James D Doecke, Jurgen Fripp, Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0198583 (2018)
Often derived from partial correlations or many pairwise analyses, covariance networks represent the inter-relationships among regions and can reveal important topological structures in brain measures from healthy and pathological subjects. However b
Externí odkaz:
https://doaj.org/article/e5aad8d02bc74865a7bcc658232bcabe
Autor:
Jurgen Fripp, Marcela I. Cespedes, James D. Doecke, Kerrie Mengersen, Christopher C. Drovandi, James McGree
Publikováno v:
Statistics in Medicine. 39:2695-2713
The degeneration of the human brain is a complex process, which often affects certain brain regions due to healthy aging or disease. This degeneration can be evaluated on regions of interest (ROI) in the brain through probabilistic networks and morph
Autor:
Shantel L. Duffy, Marcela I. Cespedes, Jake R. Palmer, Jonathon Pye, Susanne Meares, Ian B. Hickie, Fernando Calamante, Sharon L. Naismith
Publikováno v:
Sleep. 44(7)
Study Objectives Growing evidence demonstrates pronounced alterations in rest–activity functioning in older adults at-risk for dementia. White matter degeneration, poor cardiometabolic functioning, and depression have also been linked to a greater
Publikováno v:
NeuroImage, Vol 211, Iss, Pp 116646-(2020)
Diffusion MRI tractography is commonly used to delineate white matter tracts. These delineations can be used for planning neurosurgery or for identifying regions of interest from which microstructural measurements can be taken. Probabilistic tractogr
Autor:
Jurgen Fripp, James McGree, James D. Doecke, Kerrie Mengersen, Marcela I. Cespedes, Lee B. Reid, Christopher C. Drovandi
Publikováno v:
Case Studies in Applied Bayesian Data Science ISBN: 9783030425524
Estimation of structural biomarkers and covariance networks from MRI have provided valuable insight into the morphological processes and organisation of the human brain. State-of-the-art analyses such as linear mixed effects (LME) models and pairwise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93d473e5c15a232c65b7e8ef58a1ce47
https://doi.org/10.1007/978-3-030-42553-1_7
https://doi.org/10.1007/978-3-030-42553-1_7
Autor:
Marcela I. Cespedes
Publikováno v:
Bulletin of the Australian Mathematical Society. 99:174-176
This thesis develops and applies statistical methodologies to model brain atrophy in humans among multiple brain regions and how this may change over time. Throughout this work, Bayesian multilevel models are progressively developed for single and mu
Publikováno v:
Repositorio Abierto de la UdL
Universitad de Lleida
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitad de Lleida
Recercat. Dipósit de la Recerca de Catalunya
instname
This paper investigates the complex factors that lead to early career teachers (ECTs) deciding to leave the profession. It extends prior studies to show the associations that different elements of preservice education (PSE), early career support, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4da8903c4d0d19f12502f157b1f3ab24
https://hdl.handle.net/10459.1/68298
https://hdl.handle.net/10459.1/68298
Autor:
Marcela I. Cespedes, James D. Doecke
Publikováno v:
Alzheimer's & Dementia. 15:P601-P602
Autor:
Kerrie Mengersen, Marcela I. Cespedes, James D. Doecke, Christopher C. Drovandi, Jurgen Fripp, James McGree
Publikováno v:
BMJ Open
Objectives In recent years, large-scale longitudinal neuroimaging studies have improved our understanding of healthy ageing and pathologies including Alzheimer's disease (AD). A particular focus of these studies is group differences and identificatio