Van Essen, D. C., Smith, S. M., Barch, D. M., Behrens, T. E. J., Yacoub, E., Ugurbil, K., & WU-Minn HCP Consortium. (2013). The WU-Minn Human Connectome Project: An overview. NeuroImage, 80, 62–79. https://doi.org/10.1016/j.neuroimage.2013.05.041

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Van Essen et al. (2013)

Core argument: This is the primary overview paper for the WU-Minn Human Connectome Project. It describes the scientific goals, acquisition protocols, preprocessing pipelines, and data-sharing infrastructure of the HCP. It is the standard citation for any study using HCP data.

Key details relevant to thesis:

  • Introduces the HCP 3T Connectome Skyra scanner and the customized acquisition sequences (including the rs-fMRI parameters: TR=720ms, TE=33.1ms, 2mm isotropic, multi-band factor=8)
  • Describes the minimal preprocessing pipeline (spatial distortion correction, motion correction, B0 field correction, surface registration via MSMAll)
  • Introduces the fs_LR 32k grayordinate space used for CIFTI dense time series
  • Justifies the large-sample design (N=1200 subjects, twin/sibling family structure) for heritability and individual differences analyses
  • Companion paper to Glasser et al. (2016), Barch et al. (2013), and Smith et al. (2013) — together these four form the core HCP citation cluster

How to cite:

  • §3.1.1: cite alongside Wu-Minn HCP Consortium (2018) when introducing the HCP S1200 dataset — Van Essen (2013) for the project overview/design, Wu-Minn (2018) for the specific S1200 release manual
  • Soyuhos (2026) cites Van Essen (2013) as the primary HCP reference; all HCP-based papers standardly cite this paper

PDF: Not yet in Zotero. DOI: 10.1016/j.neuroimage.2013.05.041 — download from NeuroImage/Elsevier and add to Zotero.

BibTeX key: vanEssen2013

@article{vanEssen2013,
  author    = {Van Essen, David C. and Smith, Stephen M. and Barch, Deanna M. and
               Behrens, Timothy E. J. and Yacoub, Essa and Ugurbil, Kamil and
               {WU-Minn HCP Consortium}},
  title     = {The {WU-Minn} {Human Connectome Project}: An overview},
  journal   = {NeuroImage},
  year      = {2013},
  volume    = {80},
  pages     = {62--79},
  doi       = {10.1016/j.neuroimage.2013.05.041}
}

see also

3.1 Data Acquisition & Preprocessing
Glasser et al. (2016) - Nature
Barch et al. (2013)
Tags: neuroscience science source