ArticleHuman brain mapping2022
Contribution of the multi-echo approach in accelerated functional magnetic resonance imaging multiband acquisition.
Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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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.
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Who cites it
7 citing papers in PubMed.
- Complex multi-echo fMRI dataset: New strategies in processing of multi-echo data.Scientific data · 2026Article
- Correction of Physiological Artifacts in Multi-Echo fMRI Data-Evaluation of Possible RETROICOR Implementations.Human brain mapping · 2025Article
- Article
- Comparing the effect of multi-gradient echo and multi-band fMRI during a semantic task.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Facial emotion processing in patients with borderline personality disorder as compared with healthy controls: an fMRI and ECG study.Borderline personality disorder and emotion dysregulation · 2024Article
- Neural correlates of social exclusion and overinclusion in patients with borderline personality disorder: an fMRI study.Borderline personality disorder and emotion dysregulation · 2023Article
- Contribution of the multi-echo approach in accelerated functional magnetic resonance imaging multiband acquisition.Human brain mapping · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We wanted to verify the effect of combining multi-echo (ME) functional magnetic resonance imaging (fMRI) with slice acceleration in simultaneous multi-slice acquisition. The aim was to shed light on the benefits of multiple echoes for various acquisition settings, especially for levels of slice acceleration and flip angle. Whole-brain ME fMRI data were obtained from 26 healthy volunteers (using three echoes; seven runs with slice acceleration 1, 4, 6, and 8; and two different flip angles for each of the first three acceleration factors) and processed as single-echo (SE) data and ME data based on optimal combinations weighted by the contrast-to-noise ratio. Global metrics (temporal signal-to-noise ratio, signal-to-noise separation, number of active voxels, etc.) and local characteristics in regions of interest were used to evaluate SE and ME data. ME results outperformed SE results in all runs; the differences became more apparent for higher acceleration, where a significant decrease in data quality is observed. ME fMRI can improve the observed data quality metrics over SE fMRI for a wide range of accelerated fMRI acquisitions.
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Registered trials
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.