Cited by 5,651Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index; 1 of the 66 sources its claims cite were checked for support.

The WU-Minn Human Connectome Project: An overview

Open access
Van Essen, David C., Smith, Stephen M., Barch, Deanna M., Behrens, Timothy E.J., Yacoub, Essa, Ugurbil, Kamil·2013·NeuroImage

Abstract

The Human Connectome Project consortium led by Washington University, University of Minnesota, and Oxford University is undertaking a systematic effort to map macroscopic human brain circuits and their relationship to behavior in a large population of healthy adults. This overview article focuses on progress made during the first half of the 5-year project in refining the methods for data acquisition and analysis. Preliminary analyses based on a finalized set of acquisition and preprocessing protocols demonstrate the exceptionally high quality of the data from each modality. The first quarterly release of imaging and behavioral data via the ConnectomeDB database demonstrates the commitment to making HCP datasets freely accessible. Altogether, the progress to date provides grounds for optimism that the HCP datasets and associated methods and software will become increasingly valuable resources for characterizing human brain connectivity and function, their relationship to behavior, and their heritability and genetic underpinnings.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2013.05.041

Cites

67 of 67 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

41 Not checked yet · 31 No basis given · 26 Own interpretation · 26 Own result · 7 Own method · 1 Supported

Verify all 65 references — free account
  • It may state two separate claims as one. 42
  • Probably not a substantial claim. 29
63 of 63
  • The paper relies on this without support.

    Many features of brain circuitry and behavior probably arise from small effects of many genes rather than from a few dominant genes.

    “Many aspects of brain circuitry and its relation to behavior are likely to involve small contributions from many genes, rather than dominant contributions from one or a few genes.”
  • The paper relies on this without support.

    Even small head movements can harm MR data quality across modalities.

    “Head movements, even small in magnitude, can have deleterious effects on MR data quality for all modalities.”
  • The paper relies on this without support.

    Raw MRI images always contain spatial distortions, lack a common anatomical space, and do not align across modalities.

    “Unprocessed images from MRI scanners invariably contain several types of spatial distortion, are not in a standard anatomical space, and are misaligned across modalities.”
  • The paper relies on this without support.

    Raw MRI images also contain noise, artifacts, and biases specific to each modality.

    “They also contain various types of modality-specific noise, artifacts, and biases.”
  • The paper relies on this without support.

    DZ twins are genetically as related as ordinary full siblings but share more childhood environment, including in utero.

    “Dizygotic (DZ) twins are no more related genetically than ordinary full siblings, but they share childhood environment, including in utero environment, to a greater degree.”
  • The paper relies on this without support.

    MZ twins are genetically nearly identical.

    “Monozygotic (MZ) twins should have the greatest similarity because they are genetically nearly identical.”
  • The paper relies on this without support.

    MEG has much higher temporal resolution than MRI but coarser spatial resolution.

    “The obvious advantage of MEG over MRI is the much higher temporal resolution (milliseconds vs seconds), but it occurs at the expense of coarser spatial resolution (centimeters instead of millimeters).”
  • The paper relies on this without support.

    Subcortical regions are important enough that they must be well integrated into HCP analyses of brain connectivity and function.

    “It is obviously very important that subcortical regions be well integrated into HCP analyses of brain connectivity and function.”
  • The paper relies on this without support.

    The restricted personal information (age, height and weight, handedness) is required for many scientific studies of the heritability of brain circuits and of links between brain circuits and behavioral and demographic traits.

    “On the other hand, this information will be needed for many types of scientific inquiry aimed at characterizing the heritability of brain circuits and relating brain circuits to behavioral and demographic phenotypes.”
  • The paper relies on this without support.

    fMRI scans can be affected by signal bleeding across opposing sulcal banks.

    “For example, fMRI scans can be impacted by signals “bleeding across” opposing banks of sulci.”
  • The paper relies on this without support.

    Tractography tends to show stronger connections with gyral blades than with sulcal banks and fundi.

    “Tractography has a bias for showing stronger connections with gyral blades compared to sulcal banks and fundi.”
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Citations

Cites

Show all 67 references

Research works printed but not linked: 3

  1. Moeller, 2008, fMRI with 16 fold reduction using multibanded multislice sampling, Proc. Int. Soc. Magn. Reson. Med., 16
  2. Van Essen, 2013, In vivo architectonics: a cortico-centric perspective, NeuroImage
  3. Wig, 2013, Parcellating an individual subject's cortical and subcortical brain structures using snowball sampling of resting-state correlations, Cereb. Cortex

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Metadata

Authors
Van Essen, D. C., Smith, S. M., Barch, D. M., Behrens, T. E. J., Yacoub, E., & Ugurbil, K.
Affiliations
  • University of Oxford (GB)
  • Washington University in St. Louis (US)
  • University of Minnesota (US)
Venue
NeuroImage
Publisher
Elsevier BV
Published
2013-10
Volume
80
Pages
62-79
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2024729467
Cited by
5,651
References
67
Citations by year
2026: 513 · 2025: 688 · 2024: 684 · 2023: 567 · 2022: 599 · 2021: 577 · 2020: 526 · 2019: 448 · 2018: 339 · 2017: 271 · 2016: 204 · 2015: 140 · 2014: 72 · 2013: 22
FWCI
12.41
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • UniTERAMO Research Catalog (University of Teramo) (submittedVersion)
  • Padua Research Archive (University of Padova) (submittedVersion)
Funders
  • NIH grant (1U54MH091657)
  • 16 NIH Institutes and Centers
  • McDonnell Center for Systems Neuroscience at Washington University
  • Biotechnology Research Center (BTRC) (P41 EB015894)
  • NIBIB
  • NINDS Institutional Center Core Grant (P30 NS076408)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
Human Connectome Project, human brain connectivity, neuroimaging preprocessing, open science, healthy adults, brain-behavior relationship
MeSH terms
Brain, Humans, Models, Anatomic, Models, Neurological, Nerve Net, Connectome

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