Literature DB >> 22366334

The Human Connectome Project: a data acquisition perspective.

D C Van Essen1, 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 Oostenveld, S E Petersen, F Prior, B L Schlaggar, S M Smith, A Z Snyder, J Xu, E Yacoub.   

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.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22366334      PMCID: PMC3606888          DOI: 10.1016/j.neuroimage.2012.02.018

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  61 in total

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Authors:  Steven M Nelson; Alexander L Cohen; Jonathan D Power; Gagan S Wig; Francis M Miezin; Mark E Wheeler; Katerina Velanova; David I Donaldson; Jeffrey S Phillips; Bradley L Schlaggar; Steven E Petersen
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Review 9.  The future of the human connectome.

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Review 10.  Complex brain networks: graph theoretical analysis of structural and functional systems.

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  609 in total

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5.  Population-averaged atlas of the macroscale human structural connectome and its network topology.

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6.  Cortical fibers orientation mapping using in-vivo whole brain 7 T diffusion MRI.

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Journal:  Neuroimage       Date:  2018-05-10       Impact factor: 6.556

7.  Distinct functional and structural neural underpinnings of working memory.

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Journal:  Neuroimage       Date:  2018-03-15       Impact factor: 6.556

8.  Stable Atlas-based Mapped Prior (STAMP) machine-learning segmentation for multicenter large-scale MRI data.

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9.  The impact of gradient strength on in vivo diffusion MRI estimates of axon diameter.

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10.  Functional MRI and resting state connectivity in white matter - a mini-review.

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