ArticleMagnetic resonance in medicine2022
Model-based dynamic off-resonance correction for improved accelerated fMRI in awake behaving nonhuman primates.
Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Brain activity, disruption and connectivity comparisons identify origins of human metacognition in other primates.Nature human behaviour · 2026Article
- Dorsal raphe nucleus controls motivation-state transitions in monkeys.Science advances · 2025Article
- A frontopolar-temporal circuit determines the impact of social information in macaque decision making.Neuron · 2024Article
- Dynamic off-resonance correction improves functional image analysis in fMRI of awake behaving non-human primates.Frontiers in neuroimaging · 2024Article
- Model-based dynamic off-resonance correction for improved accelerated fMRI in awake behaving nonhuman primates.Magnetic resonance in medicine · 2022Article
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
Abstract
purposeTo estimate dynamic off-resonance due to vigorous body motion in accelerated fMRI of awake behaving nonhuman primates (NHPs) using the echo-planar imaging reference navigator, in order to attenuate the effects of time-varying off-resonance on the reconstruction.
methodsIn NHP fMRI, the animal's head is usually head-posted, and the dynamic off-resonance is mainly caused by motion in body parts that are distant from the brain and have low spatial frequency. Hence, off-resonance at each frame can be approximated as a spatially linear perturbation of the off-resonance at a reference frame, and is manifested as a relative linear shift in k-space. Using GRAPPA operators, we estimated these shifts by comparing the navigator at each time frame with that at the reference frame. Estimated shifts were then used to correct the data at each frame. The proposed method was evaluated in phantom scans, simulations, and in vivo data.
resultsThe proposed method is shown to successfully estimate spatially low-order dynamic off-resonance perturbations, including induced linear off-resonance perturbations in phantoms, and is able to correct retrospectively corrupted data in simulations. Finally, it is shown to reduce ghosting artifacts and geometric distortions by up to 20% in simultaneous multislice in vivo acquisitions in awake-behaving NHPs.
conclusionA method is proposed that does not need sequence modification or extra acquisitions and makes accelerated awake behaving NHP imaging more robust and reliable, reducing the gap between what is possible with NHP protocols and state-of-the-art human imaging.
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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.