ArticleHuman brain mapping2023
A comparison of multiband and multiband multiecho gradient-echo EPI for task fMRI at 3 T.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- From Contrasts to Representations: Rethinking fMRI Approaches for Cortico-Cerebellar Networks.Cerebellum (London, England) · 2026Review
- Timing Is Everything: How Subtle Timing Changes in MRI Echo Planar Imaging Can Significantly Alter Mechanical Vibrations and Sound Level.Magnetic resonance in medicine · 2026Article
- Brain idiosyncrasy during biological-motion perception is amplified in autistic individuals with intellectual impairment.Journal of neurodevelopmental disorders · 2026Article
- Neural Mechanisms and Alterations of Sweet Sensing: Insights from Functional Magnetic Resonance Imaging Studies.Life (Basel, Switzerland) · 2025Review
- Comparing the effect of multi-gradient echo and multi-band fMRI during a semantic task.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- How Distributed Subcortical Integration of Reward and Threat May Inform Subsequent Approach-Avoidance Decisions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- How do tasks impact the reliability of fMRI functional connectivity?Human brain mapping · 2024Article
- Application of Deep Learning for Prediction of Alzheimer's Disease in PET/MR Imaging.Bioengineering (Basel, Switzerland) · 2023Review
- Enhancing precision in human neuroscience.eLife · 2023Review
- A comparison of multiband and multiband multiecho gradient-echo EPI for task fMRI at 3 T.Human brain mapping · 2023Article
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7 authors.
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Abstract
A multiband (MB) echo-planar imaging (EPI) sequence is compared to a multiband multiecho (MBME) EPI protocol to investigate differences in sensitivity for task functional magnetic resonance imaging (fMRI) at 3 T. Multiecho sampling improves sensitivity in areas where single-echo-EPI suffers from dropouts. However, It requires in-plane acceleration to reduce the echo train length, limiting the slice acceleration factor and the temporal and spatial resolution Data were acquired for both protocols in two sessions 24 h apart using an adapted color-word interference Stroop task. Besides protocol comparison statistically, we performed test-retest reliability across sessions for different protocols and denoising methods. We evaluated the sensitivity of two different echo-combination strategies for MBME-EPI. We examined the performance of three different data denoising approaches: "Standard," "AROMA," and "FIX" for MB and MBME, and assessed whether a specific method is preferable. We consider using an appropriate autoregressive model order within the general linear model framework to correct TR differences between the protocols. The comparison between protocols and denoising methods showed at group level significantly higher mean z-scores and the number of active voxels for MBME in the motor, subcortical and medial frontal cortices. When comparing different echo combinations, our results suggest that a contrast-to-noise ratio weighted echo combination improves sensitivity in MBME compared to simple echo-summation. This study indicates that MBME can be a preferred protocol in task fMRI at spatial resolution (≥2 mm), primarily in medial prefrontal and subcortical areas.
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