Evidence map›Paper›PMID 41617732›Full record

ArticleScientific data2026

Complex multi-echo fMRI dataset: New strategies in processing of multi-echo data.

Michal Mikl, Kateřina Ingrová, Martin Gajdoš, Marie Schejbalová, Anežka Kovářová, Radek Mareček, Tomáš Slavíček

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Michal MiklCEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic. michal.mikl@ceitec.muni.cz.ORCID http://orcid.org/0000-0003-1190-346X
Kateřina IngrováCEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Martin GajdošCEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Marie SchejbalováCEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Anežka KovářováCEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Radek MarečekCEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Tomáš SlavíčekCEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic.

Funding

Grantová Agentura České Republiky (Grant Agency of the Czech Republic) 23-06957SMinisterstvo Školství, Mládeže a Tělovýchovy (Ministry of Education, Youth and Sports) LM2023050
6 · The paper itself

Abstract

This publication introduces a novel, publicly available dataset designed to support the development and evaluation of advanced algorithms and processing workflows for complex multi-echo functional magnetic resonance imaging (fMRI) data. The dataset comprises multi-echo fMRI and electrophysiological recordings collected from 83 healthy, right-handed adult participants. Data was acquired with two 3 T MR scanners and is available on OpenNeuro under the title "Complex multi-echo fMRI dataset: New strategies in processing of multi-echo data".

Indexed as

BrainMagnetic Resonance ImagingAdultAlgorithmsHumansImage Processing, Computer-Assisted

Identifiers

PMID41617732
PMCPMC12960674

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.