Evidence map›Paper›PMID 23658643›Full record

ArticlePloS one2013

On the origins of signal variance in FMRI of the human midbrain at high field.

Robert L Barry, Mariam Coaster, Baxter P Rogers, Allen T Newton, Jay Moore, Adam W Anderson, David H Zald, John C Gore

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Sensitivity of the resting-state haemodynamic response function estimation to autonomic nervous system fluctuations.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016
    Article
  10. Brain-heart interactions: challenges and opportunities with functional magnetic resonance imaging at ultra-high field.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016
    Review
  11. Article
  12. 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

8 authors at 2 institutions in 1 country.

Robert L BarryVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA. robert.barry@vanderbilt.edu
Mariam Coaster
Baxter P Rogers
Allen T Newton
Jay Moore
Adam W Anderson
David H Zald
John C Gore
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

Integrated Imaging of Brain Function at 7 TeslaR01EB000461 · NIBIB · VANDERBILT UNIVERSITY · PI GORE, JOHN C · 2002 to 2012
$9.4M
Postdoctoral Training in Biomedical MRI and MRST32EB001628 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI John C Gore · 2003 to 2026
$7.0M
NIBIB NIH HHS R01 EB000461NIBIB NIH HHS R01EB000461NIBIB NIH HHS T32 EB001628
6 · The paper itself

Abstract

Functional Magnetic Resonance Imaging (fMRI) in the midbrain at 7 Tesla suffers from unexpectedly low temporal signal to noise ratio (TSNR) compared to other brain regions. Various methodologies were used in this study to quantitatively identify causes of the noise and signal differences in midbrain fMRI data. The influence of physiological noise sources was examined using RETROICOR, phase regression analysis, and power spectral analyses of contributions in the respiratory and cardiac frequency ranges. The impact of between-shot phase shifts in 3-D multi-shot sequences was tested using a one-dimensional (1-D) phase navigator approach. Additionally, the effects of shared noise influences between regions that were temporally, but not functionally, correlated with the midbrain (adjacent white matter and anterior cerebellum) were investigated via analyses with regressors of 'no interest'. These attempts to reduce noise did not improve the overall TSNR in the midbrain. In addition, the steady state signal and noise were measured in the midbrain and the visual cortex for resting state data. We observed comparable steady state signals from both the midbrain and the cortex. However, the noise was 2-3 times higher in the midbrain relative to the cortex, confirming that the low TSNR in the midbrain was not due to low signal but rather a result of large signal variance. These temporal variations did not behave as known physiological or other noise sources, and were not mitigated by conventional strategies. Upon further investigation, resting state functional connectivity analysis in the midbrain showed strong intrinsic fluctuations between homologous midbrain regions. These data suggest that the low TSNR in the midbrain may originate from larger signal fluctuations arising from functional connectivity compared to cortex, rather than simply reflecting physiological noise.

Indexed as

ArtifactsAdultBrain MappingFemaleHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMesencephalonRegression AnalysisSignal-To-Noise RatioVisual Cortex

Identifiers

PMID23658643
PMCPMC3637217
OpenAlexW2005488868

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.