C
Christian F. Beckmann
Researcher at Radboud University Nijmegen
Publications - 348
Citations - 77082
Christian F. Beckmann is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Resting state fMRI & Default mode network. The author has an hindex of 78, co-authored 304 publications receiving 65167 citations. Previous affiliations of Christian F. Beckmann include John Radcliffe Hospital & Imperial College London.
Papers
More filters
Journal ArticleDOI
Advances in functional and structural MR image analysis and implementation as FSL.
Stephen M. Smith,Mark Jenkinson,Mark W. Woolrich,Mark W. Woolrich,Christian F. Beckmann,Behrens Tej.,Heidi Johansen-Berg,Peter R. Bannister,M De Luca,Ivana Drobnjak,D E Flitney,Rami K. Niazy,J Saunders,J Vickers,Yongyue Zhang,N. De Stefano,J M Brady,Paul M. Matthews +17 more
TL;DR: A review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB) on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data.
Journal ArticleDOI
Correspondence of the brain's functional architecture during activation and rest.
Stephen M. Smith,Peter T. Fox,Karla L. Miller,David C. Glahn,P. Mickle Fox,Clare E. Mackay,Nicola Filippini,Kate E. Watkins,Roberto Toro,Angela R. Laird,Christian F. Beckmann,Christian F. Beckmann +11 more
TL;DR: It is concluded that the full repertoire of functional networks utilized by the brain in action is continuously and dynamically “active” even when at “rest.”
Journal ArticleDOI
Consistent resting-state networks across healthy subjects
Jessica S. Damoiseaux,Serge A.R.B. Rombouts,Frederik Barkhof,Philip Scheltens,Cornelis J. Stam,Stephen M. Smith,Christian F. Beckmann +6 more
TL;DR: Findings show that the baseline activity of the brain is consistent across subjects exhibiting significant temporal dynamics, with percentage BOLD signal change comparable with the signal changes found in task-related experiments.
Journal ArticleDOI
A multi-modal parcellation of human cerebral cortex
Matthew F. Glasser,Timothy S. Coalson,Emma C. Robinson,Emma C. Robinson,Carl D. Hacker,John W. Harwell,Essa Yacoub,Kamil Ugurbil,Jesper L. R. Andersson,Christian F. Beckmann,Mark Jenkinson,Stephen Smith,David C. Van Essen +12 more
TL;DR: Using multi-modal magnetic resonance images from the Human Connectome Project and an objective semi-automated neuroanatomical approach, 180 areas per hemisphere are delineated bounded by sharp changes in cortical architecture, function, connectivity, and/or topography in a precisely aligned group average of 210 healthy young adults.
Journal ArticleDOI
Investigations into resting-state connectivity using independent component analysis
TL;DR: A probabilistic independent component analysis approach, optimized for the analysis of fMRI data, is reviewed and it is demonstrated that this is an effective and robust tool for the identification of low-frequency resting-state patterns from data acquired at various different spatial and temporal resolutions.