ArticleNeuroImage2013
Prospective active marker motion correction improves statistical power in BOLD fMRI.
Article in NeuroImage, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
The trial behind it
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
11 citing papers in PubMed.
- Reliability and validity of brain-gastric phase synchronization.Human brain mapping · 2023Article
- Quality control in resting-state fMRI: the benefits of visual inspection.Frontiers in neuroscience · 2023Article
- Resting State fMRI: Going Through the Motions.Frontiers in neuroscience · 2019Review
- Prospective motion correction improves the sensitivity of fMRI pattern decoding.Human brain mapping · 2018Article
- Methods for cleaning the BOLD fMRI signal.NeuroImage · 2017Review
- Prospective motion correction in functional MRI.NeuroImage · 2017Review
- Reduction of Motion Artifacts and Noise Using Independent Component Analysis in Task-Based Functional MRI for Preoperative Planning in Patients with Brain Tumor.AJNR. American journal of neuroradiology · 2017Article
- Quantitative Assessment of Head Motion toward Functional Magnetic Resonance Imaging during Stepping.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2016Article
- Prospective motion correction of 3D echo-planar imaging data for functional MRI using optical tracking.NeuroImage · 2015Article
- Prospective motion correction using inductively coupled wireless RF coils.Magnetic resonance in medicine · 2013Article
- Functional network endophenotypes unravel the effects of apolipoprotein E epsilon 4 in middle-aged adults.PloS one · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Group level statistical maps of blood oxygenation level dependent (BOLD) signals acquired using functional magnetic resonance imaging (fMRI) have become a basic measurement for much of systems, cognitive and social neuroscience. A challenge in making inferences from these statistical maps is the noise and potential confounds that arise from the head motion that occurs within and between acquisition volumes. This motion results in the scan plane being misaligned during acquisition, ultimately leading to reduced statistical power when maps are constructed at the group level. In most cases, an attempt is made to correct for this motion through the use of retrospective analysis methods. In this paper, we use a prospective active marker motion correction (PRAMMO) system that uses radio frequency markers for real-time tracking of motion, enabling on-line slice plane correction. We show that the statistical power of the activation maps is substantially increased using PRAMMO compared to conventional retrospective correction. Analysis of our results indicates that the PRAMMO acquisition reduces the variance without decreasing the signal component of the BOLD (beta). Using PRAMMO could thus improve the overall statistical power of fMRI based BOLD measurements, leading to stronger inferences of the nature of processing in the human brain.
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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.