Results 241 to 250 of about 1,020,465 (280)

Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron, Nicholas E. Clifton, Daniel Cabezas de la Fuente, Peter Holmans, Nicholas J. Bray, Kathryn J. Peall   +5 more
wiley   +1 more source

Patterns of Postictal Abnormalities in Relation to Status Epilepticus in Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Abnormalities on peri‐ictal diffusion‐weighted magnetic resonance imaging (DWI‐PMAs) are well‐established for patients with status epilepticus (SE), but knowledge on patterns of DWI‐PMAs and their prognostic impact is sparse. Methods This systematic review and individual participant data meta‐analysis included observational studies ...
Andrea Enerstad Bolle, Silvana Sarria‐Estrada, Thomas Bonduelle, Bertram Daniel Dynesen, Manuel Toledo, Zhu Chung Che, Kjell Heuser, Anastasios Chatzikonstantinou, Jérôme Aupy, Udaya Seneviratne, Estevo Santamarina Perez, Christoph Patrick Beier   +11 more
wiley   +1 more source

Data-driven frailty and reserve phenotypes in older outpatients: a cluster analysis of complementary geriatric assessment. [PDF]

Front Aging
Belfiori M, Salis F, Puxeddu B, Mulas M, Puligheddu M, Mandas A.   +5 more
europepmc   +1 more source

Structural and functional coupling alterations in autism spectrum disorder with and without comorbid attention deficit hyperactivity disorder. [PDF]

Front Psychiatry
Zhang X, Zhou Y, Hu L, Yan J, Yin X.
europepmc   +1 more source

Dimensions of Self-Perceived Functionality in Older Adults Based on the Brazilian National Health Survey. [PDF]

Int J Environ Res Public Health
Nascimento JASD, Guedes TSR, Assis SJC, Souza CG, Souza MC, Cavalcanti RL, Silva KED, Araujo DN, Lopes JM, Guedes MBOG.   +9 more
europepmc   +1 more source

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Principal Components Analysis of Sampled Functions

Psychometrika, 1986
This paper describes a technique for principal components analysis of data consisting of n functions each observed at p argument values. This problem arises particularly in the analysis of longitudinal data in which some behavior of a number of subjects is measured at a number of points in time.
Besse, Philippe, Ramsay, J. O.
openaire   +1 more source

Supervised functional principal component analysis

Statistics and Computing, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yunlong Nie, Liangliang Wang, Baisen Liu, Jiguo Cao   +3 more
openaire   +1 more source

Sensitivity analysis in functional principal component analysis

Computational Statistics, 2005
Penalized functional principal components analysis (PCA) is considered. Sensitivity analysis based on the empirical influence functions (EIF) is discussed. EIFs are calculated for a fixed penalty parameter \(\lambda\) and for \(\lambda\) obtained by cross-validation. Cook's distances are proposed for single-case diagnostics.
Yamanishi, Yoshihiro, Tanaka, Yutaka
openaire   +2 more sources

Uncertainty in functional principal component analysis

Journal of Applied Statistics, 2016
ABSTRACTPrincipal component analysis (PCA) and functional principal analysis are key tools in multivariate analysis, in particular modelling yield curves, but little attention is given to questions of uncertainty, neither in the components themselves nor in any derived quantities such as scores.
James Sharpe, Nick Fieller
openaire   +1 more source

Robust Functional Principal Component Analysis

2014
When dealing with multivariate data robust principal component analysis (PCA), like classical PCA, searches for directions with maximal dispersion of the data projected on it. Instead of using the variance as a measure of dispersion, a robust scale estimator s n may be used in the maximization problem.
Juan Lucas Bali, Graciela Boente
openaire   +1 more source