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

• Authors: MIKL Michal; INGROVÁ Kateřina; GAJDOŠ Martin; SCHEJBALOVÁ Marie; KOVÁŘOVÁ Anežka; MAREČEK Radek; SLAVÍČEK Tomáš
• Year of publication: 2026
• Type: Peer-reviewed scientific article
• Magazine / Source: Scientific Data
• MU Faculty or unit: Central European Institute of Technology
• web: https://www.nature.com/articles/s41597-026-06694-6
• Doi: https://doi.org/10.1038/s41597-026-06694-6
• Keywords: multi-echo fMRI; neuroimaging; data processing; functional MRI analysis; advanced MRI techniques
• Description: 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".

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