Evidence map›Paper›PMID 25977808›Full record

ArticleScientific data2015

A multi-subject, multi-modal human neuroimaging dataset.

Daniel G Wakeman, Richard N Henson

Abstract readDataset
In one paragraph

Article in Scientific data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

53 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. SPM-30 years and beyond.Cerebral cortex (New York, N.Y. : 1991) · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Joint estimation of source dynamics and interactions from MEG data.Network neuroscience (Cambridge, Mass.) · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Dynamic network analysis of electrophysiological task data.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  14. Article
  15. EEG is better left alone.Scientific reports · 2023
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

2 authors.

Daniel G WakemanAthinoula A. Martinos Center for Biomedical Imaging , Charlestown, Massachusetts 02129, USA ; MRC Cognition & Brain Sciences Unit , Cambridge CB2 7EF, England.
Richard N HensonMRC Cognition & Brain Sciences Unit , Cambridge CB2 7EF, England.

Funding

Medical Research Council MC_U105579226
6 · The paper itself

Abstract

We describe data acquired with multiple functional and structural neuroimaging modalities on the same nineteen healthy volunteers. The functional data include Electroencephalography (EEG), Magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI) data, recorded while the volunteers performed multiple runs of hundreds of trials of a simple perceptual task on pictures of familiar, unfamiliar and scrambled faces during two visits to the laboratory. The structural data include T1-weighted MPRAGE, Multi-Echo FLASH and Diffusion-weighted MR sequences. Though only from a small sample of volunteers, these data can be used to develop methods for integrating multiple modalities from multiple runs on multiple participants, with the aim of increasing the spatial and temporal resolution above that of any one modality alone. They can also be used to integrate measures of functional and structural connectivity, and as a benchmark dataset to compare results across the many neuroimaging analysis packages. The data are freely available from https://openfmri.org/.

Indexed as

Functional NeuroimagingAdultBrainBrain MappingElectroencephalographyFemaleHealthy VolunteersHumansMagnetic Resonance ImagingMagnetoencephalographyMaleTask Performance and Analysis

Identifiers

PMID25977808
PMCPMC4412149

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.