ArticleNeuroImage2019
Maximising BOLD sensitivity through automated EPI protocol optimisation.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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
10 citing papers in PubMed.
- Functional specialization of medial and lateral orbitofrontal cortex in inferential decision-making.iScience · 2024Article
- Forming cognitive maps for abstract spaces: the roles of the human hippocampus and orbitofrontal cortex.Communications biology · 2024Article
- Article
- Frequency dependent emotion differentiation and directional coupling in amygdala, orbitofrontal and medial prefrontal cortex network with intracranial recordings.Molecular psychiatry · 2023Article
- The ventromedial prefrontal cortex and emotion regulation: lost in translation?The Journal of physiology · 2023Review
- Automated slice-specific z-shimming for functional magnetic resonance imaging of the human spinal cord.Human brain mapping · 2022Article
- New acquisition techniques and their prospects for the achievable resolution of fMRI.Progress in neurobiology · 2021Review
- An isotropic EPI database and analytical pipelines for rat brain resting-state fMRI.NeuroImage · 2021Article
- Adaptive slice-specific z-shimming for 2D spoiled gradient-echo sequences.Magnetic resonance in medicine · 2021Article
- TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry.Frontiers in psychiatry · 2021Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Gradient echo echo-planar imaging (GE EPI) is used for most fMRI studies but can suffer substantially from image distortions and BOLD sensitivity (BS) loss due to susceptibility-induced magnetic field inhomogeneities. While there are various post-processing methods for correcting image distortions, signal dropouts cannot be recovered and therefore need to be addressed at the data acquisition stage. Common approaches for reducing susceptibility-related BS loss in selected brain areas are: z-shimming, inverting the phase encoding (PE) gradient polarity, optimizing the slice tilt and increasing spatial resolution. The optimization of these parameters can be based on atlases derived from multiple echo-planar imaging (EPI) acquisitions. However, this requires resource and time, which imposes a practical limitation on the range over which parameters can be optimised meaning that the chosen settings may still be sub-optimal. To address this issue, we have developed an automated method that can be used to optimize across a large parameter space. It is based on numerical signal simulations of the BS loss predicted by physical models informed by a large database of magnetic field (B
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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.