The Human Connectome Project: A data acquisition perspective

D. C. Van Essen, K. Ugurbil, E. Auerbach, D. Barch, T. E.J. Behrens, R. Bucholz, A. Chang, L. Chen, M. Corbetta, S. W. Curtiss, S. Della Penna, D. Feinberg, M. F. Glasser, N. Harel, A. C. Heath, L. Larson-Prior, D. Marcus, G. Michalareas, S. Moeller, R. OostenveldS. E. Petersen, F. Prior, B. L. Schlaggar, S. M. Smith, A. Z. Snyder, J. Xu, E. Yacoub

Research output: Contribution to journalReview articlepeer-review

825 Scopus citations

Abstract

The Human Connectome Project (HCP) is an ambitious 5-year effort to characterize brain connectivity and function and their variability in healthy adults. This review summarizes the data acquisition plans being implemented by a consortium of HCP investigators who will study a population of 1200 subjects (twins and their non-twin siblings) using multiple imaging modalities along with extensive behavioral and genetic data. The imaging modalities will include diffusion imaging (dMRI), resting-state fMRI (R-fMRI), task-evoked fMRI (T-fMRI), T1- and T2-weighted MRI for structural and myelin mapping, plus combined magnetoencephalography and electroencephalography (MEG/EEG). Given the importance of obtaining the best possible data quality, we discuss the efforts underway during the first two years of the grant (Phase I) to refine and optimize many aspects of HCP data acquisition, including a new 7T scanner, a customized 3T scanner, and improved MR pulse sequences.

Original languageEnglish
Pages (from-to)2222-2231
Number of pages10
JournalNeuroImage
Volume62
Issue number4
DOIs
StatePublished - Oct 1 2012

Keywords

  • Behavior
  • Connectivity
  • Diffusion imaging
  • FMRI
  • MEG/EEG
  • Twins

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