Výsledky vyhledávání - "M. W. Woolrich"

Akademický článek

Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep

Autor: A. B. A. Stevner, D. Vidaurre, J. Cabral, K. Rapuano, S. F. V. Nielsen, E. Tagliazucchi, H. Laufs, P. Vuust, G. Deco, M. W. Woolrich, E. Van Someren, M. L. Kringelbach

Publikováno v: Nature Communications, Vol 10, Iss 1, Pp 1-14 (2019)

Sleep is composed of a number of different stages, each associated with a different pattern of brain activity. Here, using a data-driven Hidden Markov Model (HMM) of fMRI data, the authors discover a more complex set of neural activity states underly

Externí odkaz: https://doaj.org/article/6a01557f740a48f48cad86a10ab82ea4

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How reliable are MEG resting-state connectivity metrics?

Autor: G L, Colclough, M W, Woolrich, P K, Tewarie, M J, Brookes, A J, Quinn, S M, Smith

Publikováno v: Neuroimage

MEG offers dynamic and spectral resolution for resting-state connectivity which is unavailable in fMRI. However, there are a wide range of available network estimation methods for MEG, and little in the way of existing guidance on which ones to emplo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::45976de0145607c4bb6727c96fb6b18d
https://pubmed.ncbi.nlm.nih.gov/27262239

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Probabilistic non-linear registration with spatially adaptive regularisation

Autor: I J A, Simpson, M J, Cardoso, M, Modat, D M, Cash, M W, Woolrich, J L R, Andersson, J A, Schnabel, S, Ourselin

Publikováno v: Medical image analysis. 26(1)

This paper introduces a novel method for inferring spatially varying regularisation in non-linear registration. This is achieved through full Bayesian inference on a probabilistic registration model, where the prior on the transformation parameters i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::8a9737c163f19d635bf757a6bf986018
https://pubmed.ncbi.nlm.nih.gov/26462231

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A probabilistic approach to non-rigid medical image registration

Autor: Ivor James Alexander Simpson, J. A. Schnabel, M. W. Woolrich

Non-rigid image registration is an important tool for analysing morphometric differences in subjects with Alzheimer's disease from structural magnetic resonance images of the brain. This thesis describes a novel probabilistic approach to non-rigid re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1064::a9f54f7e3744d6b17260aa159d8d75c4
http://ora.ox.ac.uk/objects/uuid:7824e67a-5403-48b1-8b54-cb714eef5055

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Partial volume correction of multiple inversion time arterial spin labeling MRI data

Autor: M A, Chappell, A R, Groves, B J, MacIntosh, M J, Donahue, P, Jezzard, M W, Woolrich

Publikováno v: Magnetic resonance in medicine. 65(4)

The accuracy of cerebral blood flow (CBF) estimates from arterial spin labeling (ASL) is affected by the presence of both gray matter (GM) and white matter within any voxel. Recently a partial volume (PV) correction method for ASL has been demonstrat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::914c29dbf1e83c80039d1fe1103571c3
https://pubmed.ncbi.nlm.nih.gov/21337417

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