Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Keith J. Worsley"'
Publikováno v:
Hum Brain Mapp
Electrophysiological (EEG/MEG) imaging challenges statistics by providing two views of the same underlying spatio‐temporal brain activity: a topographic view (EEG/MEG) and tomographic view (EEG/MEG source reconstructions). It is a common practice t
Publikováno v:
Computational Statistics & Data Analysis. 53:3291-3304
The goal of this paper is to assess the P-value of local maxima of time-varying cross-correlation random fields. The motivation for this comes from an electroencephalography (EEG) experiment, where one seeks connectivity between all pairs of voxels i
Autor:
Alan C. Evans, Daniel A. Rozen, Neda Bernasconi, Keith J. Worsley, Andrea Bernasconi, Boris C. Bernhardt
Publikováno v:
NeuroImage. 46:373-381
Epileptic activity underlying idiopathic generalized epilepsy (IGE) is related to abnormal thalamo–cortical interactions. Our purpose was to map in vivo the organization of the thalamo–cortical network in IGE. We measured cortical thickness and t
Autor:
Yong He, Arnaud Charil, Alex P. Zijdenbos, Alain Dagher, Keith J. Worsley, Zhang Chen, Alan C. Evans
Publikováno v:
Brain. 132:3366-3379
White matter tracts, which play a crucial role in the coordination of information flow between different regions of grey matter, are particularly vulnerable to multiple sclerosis. Many studies have shown that the white matter lesions in multiple scle
Publikováno v:
Statistics & Probability Letters. 79:780-788
One of the most interesting problems studied in Random Field Theory (RFT) is to approximate the distribution of the maximum of a random field. This problem usually appears in a general hypothesis testing framework, where the statistics of interest ar
Autor:
Felix Carbonell, Keith J. Worsley
Publikováno v:
Statistics & Probability Letters. 78:3129-3134
Studying the geometry of random fields (RF) has become a well established tool for dealing with the statistical problem of multiple comparisons. This has led to an increasing number of applications in medical imaging and astrophysics mainly. In parti
Publikováno v:
Annals of the Institute of Statistical Mathematics. 63:1-27
The statistical problem addressed in this paper is to approximate the P value of the maximum of a smooth random field of Wilks’s Λ statistics. So far results are only available for the usual univariate statistics (Z, t, χ2, F) and a few multivari
Autor:
Boris C. Bernhardt, Luis Concha, Keith J. Worsley, Jason P. Lerch, Pierre Besson, Neda Bernasconi, Alan C. Evans
Publikováno v:
NeuroImage. 42:515-524
Temporal lobe epilepsy (TLE) is considered primarily a limbic disorder. Our purpose was to map limbic network organization in TLE and to statistically relate it to neocortical atrophy. We performed MRI-based cortical thickness analysis in 110 TLE pat
Autor:
Russell A. Poldrack, Paul C. Fletcher, Matthew Brett, Keith J. Worsley, Thomas E. Nichols, Richard N. Henson
Publikováno v:
Neuroimage
In this editorial, we outline a set of guidelines for the reporting of methods and results in functional magnetic resonance imaging studies and provide a checklist to assist authors in preparing manuscripts that meet these guidelines.
Autor:
Keith J Worsley, Jonathan Taylor
Publikováno v:
Journal of the American Statistical Association. 102:913-928
Brain mapping data have been modeled as Gaussian random fields, and local increases in mean are detected by local maxima of a random field of test statistics derived from these data. Accurate p values for local maxima are readily available for isotro