Results 1 to 10 of about 307,566 (243)

The Human Connectome Project: A retrospective [PDF]

NeuroImage, 2021
The Human Connectome Project (HCP) was launched in 2010 as an ambitious effort to accelerate advances in human neuroimaging, particularly for measures of brain connectivity; apply these advances to study a large number of healthy young adults; and freely
Jennifer Stine Elam, Matthew F. Glasser, Michael P. Harms, Stamatios N. Sotiropoulos, Jesper L.R. Andersson, Gregory C. Burgess, Sandra W. Curtiss, Robert Oostenveld, Linda J. Larson-Prior, Jan-Mathijs Schoffelen, Michael R. Hodge, Eileen A. Cler, Daniel M. Marcus, Deanna M. Barch, Essa Yacoub, Stephen M. Smith, Kamil Ugurbil, David C. Van Essen   +17 more
doaj   +9 more sources

The Developing Human Connectome Project Neonatal Data Release [PDF]

Frontiers in Neuroscience, 2022
The Developing Human Connectome Project has created a large open science resource which provides researchers with data for investigating typical and atypical brain development across the perinatal period.
A. David Edwards, A. David Edwards, Daniel Rueckert, Daniel Rueckert, Stephen M. Smith, Samy Abo Seada, Amir Alansary, Jennifer Almalbis, Joanna Allsop, Jesper Andersson, Tomoki Arichi, Tomoki Arichi, Sophie Arulkumaran, Matteo Bastiani, Matteo Bastiani, Dafnis Batalle, Dafnis Batalle, Luke Baxter, Jelena Bozek, Jelena Bozek, Eleanor Braithwaite, Jacqueline Brandon, Olivia Carney, Andrew Chew, Daan Christiaens, Daan Christiaens, Raymond Chung, Kathleen Colford, Lucilio Cordero-Grande, Lucilio Cordero-Grande, Serena J. Counsell, Harriet Cullen, Harriet Cullen, John Cupitt, Charles Curtis, Alice Davidson, Maria Deprez, Maria Deprez, Louise Dillon, Konstantina Dimitrakopoulou, Konstantina Dimitrakopoulou, Ralica Dimitrova, Ralica Dimitrova, Eugene Duff, Shona Falconer, Seyedeh-Rezvan Farahibozorg, Sean P. Fitzgibbon, Jianliang Gao, Andreia Gaspar, Nicholas Harper, Sam J. Harrison, Emer J. Hughes, Jana Hutter, Jana Hutter, Mark Jenkinson, Saad Jbabdi, Emily Jones, Vyacheslav Karolis, Vyacheslav Karolis, Vanessa Kyriakopoulou, Gregor Lenz, Antonios Makropoulos, Antonios Makropoulos, Shaihan Malik, Shaihan Malik, Luke Mason, Filippo Mortari, Chiara Nosarti, Chiara Nosarti, Rita G. Nunes, Rita G. Nunes, Camilla O’Keeffe, Jonathan O’Muircheartaigh, Jonathan O’Muircheartaigh, Jonathan O’Muircheartaigh, Hamel Patel, Jonathan Passerat-Palmbach, Maximillian Pietsch, Maximillian Pietsch, Anthony N. Price, Anthony N. Price, Emma C. Robinson, Emma C. Robinson, Mary A. Rutherford, Andreas Schuh, Stamatios Sotiropoulos, Stamatios Sotiropoulos, Johannes Steinweg, Rui Pedro Azeredo Gomes Teixeira, Rui Pedro Azeredo Gomes Teixeira, Tencho Tenev, Jacques-Donald Tournier, Jacques-Donald Tournier, Nora Tusor, Alena Uus, Alena Uus, Katy Vecchiato, Logan Z. J. Williams, Robert Wright, Julia Wurie, Joseph V. Hajnal, Joseph V. Hajnal   +101 more
doaj   +12 more sources

Tractometry of the Human Connectome Project: resources and insights [PDF]

Frontiers in Neuroscience
IntroductionThe Human Connectome Project (HCP) has become a keystone dataset in human neuroscience, with a plethora of important applications in advancing brain imaging methods and an understanding of the human brain.
John Kruper, McKenzie P. Hagen, François Rheault, Isaac Crane, Asa Gilmore, Manjari Narayan, Keshav Motwani, Eardi Lila, Chris Rorden, Jason D. Yeatman, Ariel Rokem   +10 more
doaj   +5 more sources

Informatics and Data Mining Tools and Strategies for the Human Connectome Project [PDF]

Frontiers in Neuroinformatics, 2011
The Human Connectome Project (HCP) is a major endeavor that will acquire and analyze connectivity data plus other neuroimaging, behavioral, and genetic data from 1,200 healthy adults.
Mark Jenkinson, Timothy O Laumann, David C Van Essen   +2 more
exaly   +9 more sources

The psychosis human connectome project: An overview [PDF]

NeuroImage, 2021
Investigations within the Human Connectome Project have expanded to include studies focusing on brain disorders. This paper describes one of the investigations focused on psychotic psychopathology: The psychosis Human Connectome Project (P-HCP). The data
Caroline Demro, Bryon A. Mueller, Jerillyn S. Kent, Philip C. Burton, Cheryl A. Olman, Michael-Paul Schallmo, Kelvin O. Lim, Scott R. Sponheim   +7 more
doaj   +6 more sources

The Human Connectome Project of adolescent anxiety and depression dataset [PDF]

Scientific Data
This article describes primary data and resources available from the Boston Adolescent Neuroimaging of Depression and Anxiety (BANDA) study, a novel arm of the Human Connectome Project (HCP).
N. A. Hubbard, C. C. C. Bauer, V. Siless, R. P. Auerbach, J. S. Elam, I. R. Frosch, A. Henin, S. G. Hofmann, M. R. Hodge, R. Jones, P. Lenzini, N. Lo, A. T. Park, D. A. Pizzagalli, F. Vaz-DeSouza, J. D. E. Gabrieli, S. Whitfield-Gabrieli, A. Yendiki, S. S. Ghosh   +18 more
doaj   +6 more sources

The Developing Human Connectome Project: typical and disrupted perinatal functional connectivity. [PDF]

Brain, 2021
The Developing Human Connectome Project (dHCP) is an Open Science project which provides the first large sample of neonatal functional MRI (fMRI) data with high temporal and spatial resolution.
Eyre M, Fitzgibbon SP, Ciarrusta J, Cordero-Grande L, Price AN, Poppe T, Schuh A, Hughes E, O'Keeffe C, Brandon J, Cromb D, Vecchiato K, Andersson J, Duff EP, Counsell SJ, Smith SM, Rueckert D, Hajnal JV, Arichi T, O'Muircheartaigh J, Batalle D, Edwards AD.   +21 more
europepmc   +16 more sources

The Lifespan Human Connectome Project in Aging: An overview. [PDF]

Neuroimage, 2019
The original Human Connectome Project yielded a rich data set on structural and functional connectivity in a large sample of healthy young adults using improved methods of data acquisition, analysis, and sharing. More recent efforts are extending this approach to include infants, children, older adults, and brain disorders.
Bookheimer SY, Salat DH, Terpstra M, Ances BM, Barch DM, Buckner RL, Burgess GC, Curtiss SW, Diaz-Santos M, Elam JS, Fischl B, Greve DN, Hagy HA, Harms MP, Hatch OM, Hedden T, Hodge C, Japardi KC, Kuhn TP, Ly TK, Smith SM, Somerville LH, Uğurbil K, van der Kouwe A, Van Essen D, Woods RP, Yacoub E.   +26 more
europepmc   +10 more sources

Evaluation of Denoising Strategies to Address Motion-Correlated Artifacts in Resting-State Functional Magnetic Resonance Imaging Data from the Human Connectome Project [PDF]

Brain Connectivity, 2016
Like all resting-state functional connectivity data, the data from the Human Connectome Project (HCP) are adversely affected by structured noise artifacts arising from head motion and physiological processes.
Gregory C. Burgess, Sridhar Kandala, Dan Nolan, Timothy O. Laumann, Jonathan D. Power, Babatunde Adeyemo, Michael P. Harms, Steven E. Petersen, Deanna M. Barch   +8 more
semanticscholar   +5 more sources

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants

NeuroImage, 2020
The developing Human Connectome Project (dHCP) aims to create a detailed 4-dimensional connectome of early life spanning 20–45 weeks post-menstrual age.
Sean P. Fitzgibbon, Samuel J. Harrison, Mark Jenkinson, Luke Baxter, Emma C. Robinson, Matteo Bastiani, Jelena Bozek, Vyacheslav Karolis, Lucilio Cordero Grande, Anthony N. Price, Emer Hughes, Antonios Makropoulos, Jonathan Passerat-Palmbach, Andreas Schuh, Jianliang Gao, Seyedeh-Rezvan Farahibozorg, Jonathan O'Muircheartaigh, Judit Ciarrusta, Camilla O'Keeffe, Jakki Brandon, Tomoki Arichi, Daniel Rueckert, Joseph V. Hajnal, A. David Edwards, Stephen M. Smith, Eugene Duff, Jesper Andersson   +26 more
doaj   +3 more sources