Evidence map›Paper›PMID 40800804›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Multi-echo versus single-echo EPI sequences for task-fMRI: A comparative study.

Alice Giubergia, Giulio Ferrazzi, Marco Castellaro, Sara Mascheretti, Valentina Lampis, Florian Montano, Alessandra Bertoldo, Denis Peruzzo

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  4. Review
  5. 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.

Alice GiubergiaScientific Institute IRCCS Eugenio Medea, Neuroimaging Unit, Bosisio Parini, Italy.ORCID https://orcid.org/0000-0002-7084-4220
Giulio FerrazziPhilips Healthcare, Milan, Italy.
Marco CastellaroUniversity of Padova, Department of Information Engineering, Padova, Italy.ORCID https://orcid.org/0000-0002-1203-2670
Sara MascherettiScientific Institute IRCCS Eugenio Medea, Neuroimaging Unit, Bosisio Parini, Italy.
Valentina LampisScientific Institute IRCCS Eugenio Medea, Neuroimaging Unit, Bosisio Parini, Italy.
Florian MontanoScientific Institute IRCCS Eugenio Medea, Radiology & Neuroradiology Unit, Bosisio Parini, Italy.
Alessandra BertoldoUniversity of Padova, Department of Information Engineering, Padova, Italy.
Denis PeruzzoScientific Institute IRCCS Eugenio Medea, Neuroimaging Unit, Bosisio Parini, Italy.ORCID https://orcid.org/0000-0002-9480-379X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional magnetic resonance imaging (fMRI) studies in cognitive and clinical neuroscience rely on blood oxygenation level-dependent (BOLD) contrast, measured with single-shot gradient-echo-planar imaging. However, conventional schemes encompass the acquisition of single-echo fMRI, which samples a single echo at a single-echo time (TE), facing limitations in disentangling neural signals from artifacts. Multi-echo (ME) fMRI captures images at multiple echo times within a single repetition time (TR) period and enables the separation of BOLD and non-BOLD signal components. Previous studies have highlighted the benefits of ME-fMRI but often relied on comparisons with suboptimal single-echo data derived from ME acquisitions, limiting the validity of these evaluations. This study performs a more rigorous comparison between three datasets: the data acquired with an optimized single-echo (OSE) fMRI sequence at the highest possible temporal resolution, those acquired with an ME-fMRI sequence, and, as previously reported in the literature, the echo-2 time-series extracted from the ME-fMRI data itself. ME-fMRI

Indexed as

fMRImulti-echo fMRIreading tasktask-fMRI

Identifiers

PMID40800804
PMCPMC12330833

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Registered trials

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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.