M
Matthew F. Glasser
Researcher at Washington University in St. Louis
Publications - 131
Citations - 32087
Matthew F. Glasser is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Human Connectome Project & Connectome. The author has an hindex of 56, co-authored 120 publications receiving 24115 citations. Previous affiliations of Matthew F. Glasser include University of Washington & Yerkes National Primate Research Center.
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Journal ArticleDOI
The minimal preprocessing pipelines for the Human Connectome Project.
Matthew F. Glasser,Stamatios N. Sotiropoulos,J. Anthony Wilson,Timothy S. Coalson,Bruce Fischl,Jesper L. R. Andersson,Junqian Xu,Saâd Jbabdi,Matthew A. Webster,Jonathan R. Polimeni,David C. Van Essen,Mark Jenkinson +11 more
TL;DR: The minimal preprocessing pipelines for structural, functional, and diffusion MRI that were developed by the HCP to accomplish many low level tasks, including spatial artifact/distortion removal, surface generation, cross-modal registration, and alignment to standard space are described.
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
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
Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers.
Gholamreza Salimi-Khorshidi,Gwenaëlle Douaud,Christian F. Beckmann,Matthew F. Glasser,Ludovica Griffanti,Stephen M. Smith +5 more
TL;DR: FIX ("FMRIB's ICA-based X-noiseifier"), which provides an automatic solution for denoising fMRI data via accurate classification of ICA components, and is being used in the default rfMRI processing pipeline for generating HCP connectomes.
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.