Results 131 to 140 of about 2,193,761 (259)
Genetic Resilience and Resistance in Alzheimer's Disease Diagnosis and Pathology
Objective Some individuals avoid Alzheimer's disease (AD) pathology as they age, or retain cognition despite substantial pathology, suggesting mechanisms of resistance or resilience to neurodegeneration. Educational attainment (EA) is associated with reduced risk of cognitive decline, although the underlying mechanisms remain unclear.
Ganna Leonenko +8 more
wiley +1 more source
Identifying microbial drivers in biological phenotypes with a Bayesian network regression model
In Bayesian Network Regression models, networks are considered the predictors of continuous responses. These models have been successfully used in brain research to identify regions in the brain that are associated with specific human traits, yet their ...
Samuel Ozminkowski +1 more
doaj +1 more source
Commentary: A Computational Theory of Mindfulness Based Cognitive Therapy from the "Bayesian Brain" Perspective. [PDF]
Verdonk C, Trousselard M.
europepmc +1 more source
Objective The ALS Functional Rating Scale–Revised decline rate compresses trajectory shape into a single number, potentially missing distinct phenotypes. We tested whether shape identifies phenotypes that rate does not distinguish, and whether post‐hoc analysis recovers a hidden ultrarapid subgroup. Methods From the Piemonte and Valle d'Aosta register (
Andrea Calvo +20 more
wiley +1 more source
Bayesian attenuation of offset analgesia filters out random disturbances in noxious stimuli
. Introduction:. Offset analgesia (OA), an endogenous pain inhibition after an abrupt decrease in noxious stimulation, provides a paradigm to study dynamic interaction between ascending and descending pain pathways.
Ryota Ishikawa +2 more
doaj +1 more source
Radiative Hybrid Nanofluid Flow Over a Porous Riga Surface: A Fuzzy–ANN Modeling Approach
ABSTRACT This study proposes a fuzzy–ANN model to investigate the nonlinear thermal transport in a tangent hyperbolic (Tanh) hybrid nanofluid flow past a porous Riga surface, considering the effects of Rosseland diffusion, chemical reactions, and internal volumetric heating.
Azad Hussain, Rabia Zetoon, Reeha Iqbal
wiley +1 more source
Constructing Hierarchical Bayesian Networks With Pooling
Inspired by the Bayesian brain hypothesis and deep learning, we develop a Bayesian autoencoder, a method of constructing recognition systems using a Bayesian network.
Nishino, Kaneharu +3 more
core +1 more source
Craniofacial growth, modeling, and estimation of milestones
Abstract Understanding craniofacial growth is foundational for research into intra‐ and interspecies variation, evolution, and clinical care. The Craniofacial Growth Consortium Study (CGCS), combines cephalographs from historical growth studies to create a dense longitudinal record of growth from 6 to 22 years of age.
Richard J. Sherwood +6 more
wiley +1 more source
Data for "BayesCMD: A Bayesian framework for the analysis of systems biology models of the brain"
Data for the "BayesCMD: A Bayesian framework for the analysis of systems biology models of the brain". All files except 'simulated_hypoxia.csv' contains both input and output data.
Tachtsidis, Ilias +5 more
core +1 more source
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair +5 more
wiley +1 more source

