Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 625

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Gannet: A batch‐processing tool for the quantitative analysis of gamma‐aminobutyric acid–edited MR spectroscopy spectra

Open access
Edden, Richard A.E., Puts, Nicolaas A.J., Harris, Ashley D., Barker, Peter B., Evans, C. John·2014·Journal of Magnetic Resonance Imaging

Abstract

Purpose: The purpose of this study is to describe the Gannet toolkit for the quantitative batch analysis of gamma‐aminobutyric acid (GABA) ‐edited MRS data. Materials and Methods: Using MEGA‐PRESS editing and standard acquisition parameters, four MEGA‐PRESS spectra were acquired in three brain regions in 10 healthy volunteers. These 120 datasets were processed without user intervention with Gannet, a Matlab‐based tool that takes raw time‐domain data input, processes it to generate the frequency‐domain edited spectrum, and applies a simple modeling procedure to estimate GABA concentration relative to the creatine or, if provided, the unsuppressed water signal. A comparison of four modeling approaches is also presented. Results: All data were successfully processed by Gannet. Coefficients of variation across subjects ranged from 11% for the occipital region to 17% for the dorsolateral prefrontal region. There was no clear difference in fitting performance between the simple Gaussian model used by Gannet and the other more complex models presented. Conclusion: Gannet, the GABA Analysis Toolkit, can be used to process and quantify GABA‐edited MRS spectra without user intervention. J. Magn. Reson. Imaging 2014;40:1445–1452. © 2013 Wiley Periodicals, Inc.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/jmri.24478

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 6 references

Cited by

See all 625

Metadata

Authors
Edden, R. A. E., Puts, N. A. J., Harris, A. D., Barker, P. B., & Evans, C. J.
Venue
Journal of Magnetic Resonance Imaging
Publisher
Wiley
Published
2013-11-13
Volume
40
Issue
6
Pages
1445-1452
ISSN
  • 1053-1807 (ISSN-L)
  • 1522-2586
OpenAlex
W1957708244
Cited by
625
References
6
FWCI
17.83
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Gannet: A batch‐processing tool for the quantitative analysis of gamma‐aminobutyric acid–edited MR spectroscopy spectra. https://app.cochat.ai/papers/10.1002/jmri.24478
The paper
Edden, R. A. E., Puts, N. A. J., Harris, A. D., Barker, P. B., & Evans, C. J. (2014). Gannet: A batch‐processing tool for the quantitative analysis of gamma‐aminobutyric acid–edited MR spectroscopy spectra. Journal of Magnetic Resonance Imaging. https://doi.org/10.1002/jmri.24478

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.