Evidence map›Paper›PMID 25672521›Full record

ArticleScientific reports2015

A proof-of-principle study of multi-site real-time functional imaging at 3T and 7T: Implementation and validation.

Sebastian Baecke, Ralf Lützkendorf, Johannes Mallow, Michael Luchtmann, Claus Tempelmann, Jörg Stadler, Johannes Bernarding

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 32% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Leveraging ultra-high field (7T) MRI in psychiatric research.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  5. Review
  6. Article
  7. Review
  8. 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

7 authors at 2 institutions in 1 country.

Sebastian BaeckeInstitute for Biometry and Medical Informatics, Otto-von-Guericke-University Magdeburg.
Ralf LützkendorfInstitute for Biometry and Medical Informatics, Otto-von-Guericke-University Magdeburg.
Johannes MallowInstitute for Biometry and Medical Informatics, Otto-von-Guericke-University Magdeburg.
Michael LuchtmannDepartment of Neurosurgery, Otto-von-Guericke-University Magdeburg.
Claus TempelmannDepartment of Neurology, Otto-von-Guericke-University Magdeburg.
Jörg StadlerLeibniz Institute for Neurobiology Magdeburg.
Johannes BernardingInstitute for Biometry and Medical Informatics, Otto-von-Guericke-University Magdeburg.
Otto-von-Guericke University Magdeburg · DELeibniz Institute for Neurobiology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time functional Magnetic Resonance Imaging (rtfMRI) is used mainly for neurofeedback or for brain-computer interfaces (BCI). But multi-site rtfMRI could in fact help in the application of new interactive paradigms such as the monitoring of mutual information flow or the controlling of objects in shared virtual environments. For that reason, a previously developed framework that provided an integrated control and data analysis of rtfMRI experiments was extended to enable multi-site rtfMRI. Important new components included a data exchange platform for analyzing the data of both MR scanners independently and/or jointly. Information related to brain activation can be displayed separately or in a shared view. However, a signal calibration procedure had to be developed and integrated in order to permit the connecting of sites that had different hardware and to account for different inter-individual brain activation levels. The framework was successfully validated in a proof-of-principle study with twelve volunteers. Thus the overall concept, the calibration of grossly differing signals, and BCI functionality on each site proved to work as required. To model interactions between brains in real-time, more complex rules utilizing mutual activation patterns could easily be implemented to allow for new kinds of social fMRI experiments.

Indexed as

Brain-Computer InterfacesAdultBrainBrain MappingHumansMagnetic Resonance ImagingMaleYoung Adult

Identifiers

PMID25672521
PMCPMC4325335
OpenAlexW2010570459

What OpenQuestion holds

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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.