Results 51 to 60 of about 320,056 (253)

The minimal preprocessing pipelines for the Human Connectome Project [PDF]

NeuroImage, 2013
The Human Connectome Project (HCP) faces the challenging task of bringing multiple magnetic resonance imaging (MRI) modalities together in a common automated preprocessing framework across a large cohort of subjects. The MRI data acquired by the HCP differ in many ways from data acquired on conventional 3 Tesla scanners and often require newly ...
M. Glasser, S. Sotiropoulos, J. A. Wilson, Timothy S. Coalson, B. Fischl, J. Andersson, Junqian Xu, S. Jbabdi, Matthew A. Webster, J. Polimeni, D. C. Essen, M. Jenkinson   +11 more
semanticscholar   +7 more sources

Brain decoding of the Human Connectome Project tasks in a dense individual fMRI dataset

NeuroImage, 2023
Shima Rastegarnia, Marie St‐Laurent, Elizabeth DuPré, Basile Pinsard, Pierre Bellec   +4 more
openalex   +2 more sources

White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project. [PDF]

Neuroimage, 2022
Zekelman LR, Zhang F, Makris N, He J, Chen Y, Xue T, Liera D, Drane DL, Rathi Y, Golby AJ, O'Donnell LJ.   +10 more
europepmc   +2 more sources

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project

NeuroImage, 2018
Matteo Bastiani, Jesper Andersson, Lucilio Cordero‐Grande, Maria Murgasova, Jana Hutter, Anthony N. Price, Antonios Makropoulos, Sean P. Fitzgibbon, Emer Hughes, Daniel Rueckert, Suresh Victor, Mary Rutherford, A. David Edwards, Stephen M. Smith, Jacques‐Donald Tournier, Joseph V. Hajnal, Saâd Jbabdi, Stamatios N. Sotiropoulos   +17 more
openalex   +2 more sources

PPA: Principal parcellation analysis for brain connectomes and multiple traits

NeuroImage, 2023
Our understanding of the structure of the brain and its relationships with human traits is largely determined by how we represent the structural connectome. Standard practice divides the brain into regions of interest (ROIs) and represents the connectome
Rongjie Liu, Meng Li, David B. Dunson
doaj   +1 more source

Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects [PDF]

NeuroImage, 2018
The Human Connectome Projects in Development (HCP-D) and Aging (HCP-A) are two large-scale brain imaging studies that will extend the recently completed HCP Young-Adult (HCP-YA) project to nearly the full lifespan, collecting structural, resting-state fMRI, task-fMRI, diffusion, and perfusion MRI in participants from 5 to 100+ years of age.
M. Harms, L. Somerville, B. Ances, J. Andersson, D. Barch, M. Bastiani, S. Bookheimer, Timothy Brown, R. Buckner, G. C. Burgess, Timothy S. Coalson, M. Chappell, M. Dapretto, G. Douaud, B. Fischl, M. Glasser, D. Greve, Cynthia Hodge, K. Jamison, S. Jbabdi, S. Kandala, Xiufeng Li, R. Mair, S. Mangia, D. Marcus, Daniele Mascali, S. Moeller, Thomas E. Nichols, E. Robinson, D. Salat, Stephen M. Smith, S. Sotiropoulos, M. Terpstra, K. Thomas, M. Tisdall, K. Uğurbil, A. Kouwe, R. Woods, Lilla Zöllei, D. C. Essen, E. Yacoub   +40 more
semanticscholar   +7 more sources

540. INFLAMMATION AND AGING IN PSYCHOSIS – A TRANSDIAGNOSTIC PROTEOMICS STUDY USING THE HUMAN CONNECTOME PROJECT FOR EARLY PSYCHOSIS (HCP-EP) [PDF]

Int J Neuropsychopharmacol
Johanna Seitz‐Holland, Michael Haaf, Ana Paula Mendes‐Silva, Nora Penzel, Christine Berberich, Lauren Breithaupt, Gregor Leicht, Sylvain Bouix, Michael Coleman, Elana Kotler, Nayoung Kim, Kathryn E. Lewandowski, David Holt, M.S. Keshavan, Döst Öngür, Alan Breier, Martha E. Shenton, Breno S. Diniz, Steven E. Arnold, Marek Kubicki   +19 more
europepmc   +3 more sources

Ensemble tractography [PDF]

, 2016
Fiber tractography uses diffusion MRI to estimate the trajectory and cortical projection zones of white matter fascicles in the living human brain. There are many different tractography algorithms and each requires the user to set several parameters ...
Caiafa, César Federico, Pestilli, Franco, Takemura, Hiromasa, Wandell, Brian A.   +3 more
core   +8 more sources

Cortical gradient of a human functional similarity network captured by the geometry of cytoarchitectonic organization

Communications Biology, 2022
Analysis of functional MRI data from the Human Connectome Project reveals the presence of a cortical gradient, which reflects functional topology and links the macroscale functional landscape with mesoscale laminar differentiation principles.
Yao Meng, Siqi Yang, Jinming Xiao, Yaxin Lu, Jiao Li, Huafu Chen, Wei Liao   +6 more
doaj   +1 more source

Cannabis involvement and neuropsychological performance: findings from the Human Connectome Project [PDF]

J Psychiatry Neurosci, 2019
Petker T, Owens MM, Amlung MT, Oshri A, Sweet LH, MacKillop J.   +5 more
europepmc   +3 more sources