The minimal preprocessing pipelines for the Human Connectome Project

• Published in: NeuroImage (Orlando, Fla.) Vol. 80; pp. 105 - 124
• Main Authors: Glasser, Matthew F., Sotiropoulos, Stamatios N., Wilson, J. Anthony, Coalson, Timothy S., Fischl, Bruce, Andersson, Jesper L., Xu, Junqian, Jbabdi, Saad, Webster, Matthew, Polimeni, Jonathan R., Van Essen, David C., Jenkinson, Mark
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.10.2013; Elsevier Limited
• Subjects: Acquisitions & mergers; Algorithms; Brain; Brain - anatomy & histology; Brain - physiology; CIFTI; Connectome - methods; Cross-modal; Diffusion Tensor Imaging - methods; Grayordinates; Human Connectome Project; Humans; Image analysis pipeline; Image Interpretation, Computer-Assisted - methods; Medical imaging; Models, Anatomic; Models, Neurological; Multi-modal data integration; Nerve Net - anatomy & histology; Nerve Net - physiology; Neurosciences; Surface-based analysis; Human Connectome Project; Surface-based analysis; Image analysis pipeline; Multi-modal data integration; Grayordinates; CIFTI

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 conventi...