Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Laura Ponto"'
Publikováno v:
Brain Stimulation, Vol 14, Iss 6, Pp 1593- (2021)
Externí odkaz:
https://doaj.org/article/d252b3a0b8fb410bb6c9cf724dd7e127
Autor:
Ruben Smith, Bruce Miller, Oskar Hansson, Laura Ponto, Gregory Jicha, Peter Snyder, Yasser Iturria Medina, Matthew Senjem, Jonas Jögi, Thomas Olabode Obisesan, Adrian Preda, Michael Schöll, Rik Ossenkoppele, Markus Nilsson, Per Johansson
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-1 (2021)
Nature Communications
Nature communications, vol 12, iss 1
Nature Communications
Nature communications, vol 12, iss 1
Tau is a hallmark pathology of Alzheimer's disease, and animal models have suggested that tau spreads from cell to cell through neuronal connections, facilitated by β-amyloid (Aβ). We test this hypothesis in humans using an epidemic spreading model
Autor:
John Morris, Pauline Maillard, John Hsiao, Bruce Miller, Laura Ponto, Ging-Yuek Hsiung, Gregory Jicha, Peter Snyder, Matthew Senjem, Thomas Olabode Obisesan, Gwenaelle Catheline, Adrian Preda
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-1 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-1 (2020)
Numerous studies have proposed biomarkers based on magnetic resonance imaging (MRI) to detect and predict the risk of evolution toward Alzheimer's disease (AD). Most of these methods have focused on the hippocampus, which is known to be one of the ea
Publikováno v:
Neurology. 89:1028-1034
Objective:To clarify associations between APOE ε4 allele and age on longitudinal rates of β-amyloid (Aβ) accumulation within Aβ+ and Aβ− older individuals without dementia.Methods:We analyzed 595 older adults without dementia classified cross-
Autor:
Gerard Ridgway, Sebastien Ourselin, Laura Ponto, Ging-Yuek Hsiung, Gregory Jicha, Adrian Preda, Karl Friston
Publikováno v:
Europe PubMed Central
Neuroimage
Neuroimage
We introduce a mass-univariate framework for the analysis of whole-brain structural trajectories using longitudinal Voxel-Based Morphometry data and Bayesian inference. Our approach to developmental and aging longitudinal studies characterizes hetero
Publikováno v:
NeuroImage : Clinical
NeuroImage: Clinical, Vol 9, Iss C, Pp 625-639 (2015)
NeuroImage: Clinical, Vol 9, Iss C, Pp 625-639 (2015)
Resting-state functional magnetic resonance imaging (rs-fMRI) and other technologies have been offering evidence and insights showing that altered brain functional networks are associated with neurological illnesses such as Alzheimer's disease. Explo
Autor:
Tomasz Burzykowski, Laura Ponto, Ging-Yuek Hsiung, Gregory Jicha, Adrian Preda, Leandro Garcia Barrado
Publikováno v:
Statistics in Medicine. 35:595-608
Ignoring the fact that the reference test used to establish the discriminative properties of a combination of diagnostic biomarkers is imperfect can lead to a biased estimate of the diagnostic accuracy of the combination. In this paper, we propose a
Publikováno v:
Journal of Neuroscience Methods. 245:58-63
Background Classifying individuals based on magnetic resonance data is an important task in neuroscience. Existing brain network-based methods to classify subjects analyze data from a cross-sectional study and these methods cannot classify subjects b
Publikováno v:
Dowling, NM; Johnson, SC; Gleason, CE; & Jagust, WJ. (2015). The mediational effects of FDG hypometabolism on the association between cerebrospinal fluid biomarkers and neurocognitive function. NeuroImage, 105, 357-368. doi: 10.1016/j.neuroimage.2014.10.050. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/6rp1w85g
Positive cerebrospinal fluid (CSF) biomarkers of tau and amyloid beta42 suggest possible active underlying Alzheimer's disease (AD) including neurometabolic dysfunction and neurodegeneration leading to eventual cognitive decline. But the temporal rel
Autor:
Juan Eugenio Iglesias, Andrew Saykin, Laura Ponto, Ging-Yuek Hsiung, Gregory Jicha, Mert Sabuncu, Koen Van Leemput, Adrian Preda
Publikováno v:
Medical Image Analysis. 17:766-778
Many segmentation algorithms in medical image analysis use Bayesian modeling to augment local image appearance with prior anatomical knowledge. Such methods often contain a large number of free parameters that are first estimated and then kept fixed