ArticleHuman brain mapping2017
False fMRI activation after motion correction.
Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06779825 (Impact of Stimulants and In-Scanner Motion on FMRI Neurofeedback and Task Performance in ADHD), which is not on this map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Impact of Stimulants and In-Scanner Motion on FMRI Neurofeedback and Task Performance in ADHD
Who cites it
10 citing papers in PubMed.
- Active head motion reduction in magnetic resonance imaging using tactile feedback.Human brain mapping · 2019Trial
- Increasing the Reliability of Functional Connectivity by Predicting Long-Scan Functional Connectivity based on Short-Scan Functional Connectivity: Model Exploration, Explanation, Validation, and Application.Neuroinformatics · 2026Article
- Cross-sectional observational study evaluating social brain health in HIV using a research domain criteria-based approach: a protocol.BMJ open · 2026Article
- Nonlinear kernel-based fMRI activation detection.Frontiers in neuroimaging · 2025Article
- Comparison of MRI head motion indicators in 40,969 subjects informs neuroimaging study design.Scientific reports · 2024Article
- A numerical human brain phantom for dynamic glucose-enhanced (DGE) MRI: On the influence of head motion at 3T.Magnetic resonance in medicine · 2023Article
- Improved localization of language areas using single voxel signal analysis of unprocessed fMRI data.Frontiers in radiology · 2022Article
- Functional Dynamics of Deafferented Early Visual Cortex in Glaucoma.Frontiers in neuroscience · 2021Article
- Measurement of microvascular cerebral blood volume changes over the cardiac cycle with ferumoxytol-enhanced TMagnetic resonance in medicine · 2019Article
- Nonlinear KCCA in fMRI activation analysis: Self-supervised optimization and robust back-reconstruction.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Motion correction of echo-planar imaging (EPI) data used in functional MRI (fMRI) is an essential preprocessing step performed prior to statistical analysis. At ultra-high resolution fMRI, current requirements regarding translational and rotational motion may no longer be acceptable. This prompts the need for a systematic investigation of the effects of motion correction procedures with in vivo fMRI data. Here we systematically evaluated the effect of retrospective motion correction with freely available fMRI analysis software packages (FSL, AFNI, and SPM) on activation maps using fMRI data acquired with prospective motion detection, to identify and quantify confounding effects of retrospective motion correction, and to evaluate its dependence on spatial resolution and motion correction algorithms. Brain activation maps were obtained for two different resolutions, an ultrahigh, that is, 0.65
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What OpenQuestion holds
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.