Evidence map›Paper›PMID 21743807›Full record

ArticleFrontiers in neuroinformatics2011

Informatics and data mining tools and strategies for the human connectome project.

Daniel S Marcus, John Harwell, Timothy Olsen, Michael Hodge, Matthew F Glasser, Fred Prior, Mark Jenkinson, Timothy Laumann, Sandra W Curtiss, David C Van Essen

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07024875 (Precision Neuroimaging of Parkinson's Disease), which is not on this map. Cited by 432 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
432citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07024875 recruitingnot on this mapstarted 2025, after this paper: background citation

Precision Neuroimaging of Parkinson's Disease

Typeobservational_patient_registrySponsorWashington University School of MedicineRan2025 to 2031Enrolled120ConditionsParkinsons Disease (PD)
3 · Its place in the literature

Who cites it

432 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Increased Attentive Use Is Linked to More Idiosyncratic Functional Connections.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  6. Article
  7. Article
  8. Heritable and experience-dependent cortical traits of reading ability.Cerebral cortex (New York, N.Y. : 1991) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The intrinsic cortical geometry of reading.bioRxiv : the preprint server for biology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Skill Memory Expansion Shapes Micro-Scale Dynamics of Skill Learning.bioRxiv : the preprint server for biology · 2026
    Article

372 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Daniel S MarcusDepartment of Radiology, Washington University School of Medicine St. Louis, MO, USA.
John Harwell
Timothy Olsen
Michael Hodge
Matthew F Glasser
Fred Prior
Mark Jenkinson
Timothy Laumann
Sandra W Curtiss
David C Van Essen

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
THE XNAT IMAGING INFORMATICS PLATFORMR01EB009352 · NIBIB · WASHINGTON UNIVERSITY · PI Daniel Scott Marcus · 2009 to 2026
$9.3M
proj 3 - NINDS INSTIUTIONAL CENTER CORE GRANTS TO SUPPORT NEUROSCIENCE RESEARP30NS048056 · NINDS · WASHINGTON UNIVERSITY · PI MARCUS, DANIEL SCOTT · 2004 to 2014
$7.4M
HIGH PERFORMANCE BIOMEDICAL IMAGING COMPUTER RESOURCESS10RR022984 · NCRR · WASHINGTON UNIVERSITY · PI PRIOR, FRED WILLIAM · 2009 to 2009
$1.9M
Biotechnology and Biological Sciences Research Council BB/C519938/1Medical Research Council G0700399NCRR NIH HHS S10 RR022984NIBIB NIH HHS R01 EB009352NIMH NIH HHS U54 MH091657NINDS NIH HHS P30 NS048056
6 · The paper itself

Abstract

The Human Connectome Project (HCP) is a major endeavor that will acquire and analyze connectivity data plus other neuroimaging, behavioral, and genetic data from 1,200 healthy adults. It will serve as a key resource for the neuroscience research community, enabling discoveries of how the brain is wired and how it functions in different individuals. To fulfill its potential, the HCP consortium is developing an informatics platform that will handle: (1) storage of primary and processed data, (2) systematic processing and analysis of the data, (3) open-access data-sharing, and (4) mining and exploration of the data. This informatics platform will include two primary components. ConnectomeDB will provide database services for storing and distributing the data, as well as data analysis pipelines. Connectome Workbench will provide visualization and exploration capabilities. The platform will be based on standard data formats and provide an open set of application programming interfaces (APIs) that will facilitate broad utilization of the data and integration of HCP services into a variety of external applications. Primary and processed data generated by the HCP will be openly shared with the scientific community, and the informatics platform will be available under an open source license. This paper describes the HCP informatics platform as currently envisioned and places it into the context of the overall HCP vision and agenda.

Indexed as

brain parcellationcaretconnectomicsdiffusion imagingHuman Connectome Projectnetwork analysisresting state fMRIXNAT

Identifiers

PMID21743807
PMCPMC3127103

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.