T
Timothy O. Laumann
Researcher at Washington University in St. Louis
Publications - 75
Citations - 19996
Timothy O. Laumann is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Resting state fMRI & Default mode network. The author has an hindex of 36, co-authored 63 publications receiving 13404 citations. Previous affiliations of Timothy O. Laumann include University of Washington.
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Journal ArticleDOI
Functional network organization of the human brain
Jonathan D. Power,Alexander L. Cohen,Steven M. Nelson,Gagan S. Wig,Kelly Anne Barnes,Jessica A. Church,Alecia C. Vogel,Timothy O. Laumann,F.M. Miezin,Bradley L. Schlaggar,Steven E. Petersen +10 more
TL;DR: In this article, the authors studied functional brain organization in healthy adults using resting state functional connectivity MRI and proposed two novel brain wide graphs, one of 264 putative functional areas, the other a modification of voxelwise networks that eliminates potentially artificial short-distance relationships.
Journal ArticleDOI
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Jonathan D. Power,Anish Mitra,Timothy O. Laumann,Abraham Z. Snyder,Bradley L. Schlaggar,Steven E. Petersen +5 more
TL;DR: It is found that motion-induced signal changes are often complex and variable waveforms, often shared across nearly all brain voxels, and often persist more than 10s after motion ceases, which increase observed RSFC correlations in a distance-dependent manner.
Journal ArticleDOI
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
Alexander Schaefer,Ru Kong,Evan M. Gordon,Timothy O. Laumann,Xi-Nian Zuo,Avram J. Holmes,Simon B. Eickhoff,B.T. Thomas Yeo,B.T. Thomas Yeo +8 more
TL;DR: The results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data.
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
Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations
Evan M. Gordon,Timothy O. Laumann,Babatunde Adeyemo,Jeremy F. Huckins,William M. Kelley,Steven E. Petersen +5 more
TL;DR: The boundary map- derived parcellation contained parcels that overlapped with architectonic mapping of areas 17, 2, 3, and 4, and their connectivity patterns were reliable across individual subjects, suggesting that RSFC-boundary map-derived parcels provide information about the location and extent of human cortical areas.