S
Steen Moeller
Researcher at University of Minnesota
Publications - 157
Citations - 16842
Steen Moeller is an academic researcher from University of Minnesota. The author has contributed to research in topics: Deep learning & Iterative reconstruction. The author has an hindex of 40, co-authored 142 publications receiving 13286 citations. Previous affiliations of Steen Moeller include University of California, Berkeley.
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Journal ArticleDOI
The Human Connectome Project: A data acquisition perspective
D. C. Van Essen,Kamil Ugurbil,Edward J. Auerbach,Timothy E.J. Behrens,Richard D. Bucholz,A. Chang,Liyong Chen,Maurizio Corbetta,Sandra W. Curtiss,S. Della Penna,David A. Feinberg,Matthew F. Glasser,Noam Harel,Andrew C. Heath,Linda J. Larson-Prior,Daniel S. Marcus,Georgios Michalareas,Steen Moeller,Robert Oostenveld,Steven E. Petersen,Fred W. Prior,Bradley L. Schlaggar,Stephen M. Smith,Abraham Z. Snyder,Junqian Xu,Essa Yacoub +25 more
TL;DR: The Human Connectome Project (HCP) as discussed by the authors is a 5-year effort to characterize brain connectivity and function and their variability in healthy adults using diffusion imaging (dMRI), resting-state fMRI, task-evoked fMRI (T-fMRI), T1-and T2-weighted MRI for structural and myelin mapping, plus combined magnetoencephalography (MEG/EEG).
Journal ArticleDOI
Multiband Multislice GE-EPI at 7 Tesla, With 16-Fold Acceleration Using Partial Parallel Imaging With Application to High Spatial and Temporal Whole-Brain FMRI
Steen Moeller,Essa Yacoub,Cheryl A. Olman,Edward J. Auerbach,John P. Strupp,Noam Harel,Kâmil Uğurbil +6 more
TL;DR: Parallel imaging in the form of multiband radiofrequency excitation, together with reduced k‐space coverage in the phase‐encode direction, was applied to human gradient echo functional MRI at 7 T for increased volumetric coverage and concurrent high spatial and temporal resolution.
Journal ArticleDOI
Resting-state fMRI in the Human Connectome Project
Stephen M. Smith,Christian F. Beckmann,Jesper L. R. Andersson,Edward J. Auerbach,Janine D. Bijsterbosch,Gwenaëlle Douaud,Eugene P. Duff,David A. Feinberg,Ludovica Griffanti,Ludovica Griffanti,Michael P. Harms,Michael E. Kelly,Timothy O. Laumann,Karla L. Miller,Steen Moeller,Steven E. Petersen,Jonathan D. Power,Gholamreza Salimi-Khorshidi,Abraham Z. Snyder,An T. Vu,An T. Vu,An T. Vu,Mark W. Woolrich,Junqian Xu,Essa Yacoub,Kamil Ugurbil,D. C. Van Essen,Matthew F. Glasser +27 more
TL;DR: The work behind, and rationale for, decisions taken regarding the rfMRI data acquisition protocol and pre-processing pipelines are outlined, and some initial results showing data quality and example functional connectivity analyses are presented.
Journal ArticleDOI
Multiplexed echo planar imaging for sub-second whole brain fmri and fast diffusion imaging
David A. Feinberg,David A. Feinberg,Steen Moeller,Stephen M. Smith,Edward J. Auerbach,Sudhir Ramanna,Matthew F. Glasser,Karla L. Miller,Kamil Ugurbil,Essa Yacoub +9 more
TL;DR: The novel M-EPI pulse sequence resulted in a significantly increased temporal resolution for whole brain fMRI, and as such, this new methodology can be used for studying non-stationarity in networks and generally for expanding and enriching the functional information.
Journal ArticleDOI
ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging
Ludovica Griffanti,Ludovica Griffanti,Gholamreza Salimi-Khorshidi,Christian F. Beckmann,Edward J. Auerbach,Gwenaëlle Douaud,Claire E. Sexton,Enikő Zsoldos,Klaus P. Ebmeier,Nicola Filippini,Clare E. Mackay,Steen Moeller,Junqian Xu,Essa Yacoub,Giuseppe Baselli,Kamil Ugurbil,Karla L. Miller,Stephen M. Smith +17 more
TL;DR: With the optimal cleaning procedures, functional connectivity results from accelerated data were statistically comparable or significantly better than the standard (unaccelerated) acquisition, and, crucially, with higher spatial and temporal resolution.