ReviewQuantitative imaging in medicine and surgery2019
Quality assurance of human functional magnetic resonance imaging: a literature review.
Review in Quantitative imaging in medicine and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessing MR-compatibility of somatosensory stimulation devices: A systematic review on testing methodologies.Frontiers in neuroscience · 2023Pooled it
- DIM: A diffusion instability measure for MRI quality assurance.Magnetic resonance in medicine · 2025Article
- Denoising strategies of functional connectivity MRI data in lesional and non-lesional brain diseases.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Efficacy and Central Mechanism of Acupuncture Treatment for Subacute Nonspecific Low Back Pain: A Clinical Neuroimaging Protocol.Journal of pain research · 2025Article
- Fast 3D fMRI acquisition with high spatial resolutions over a reduced FOV.Magnetic resonance in medicine · 2024Article
- The German research consortium for the study of bipolar disorder (BipoLife): a quality assurance protocol for MR neuroimaging data.International journal of bipolar disorders · 2024Article
- An implementation of integrated information theory in resting-state fMRI.Communications biology · 2023Article
- Classification of Migraine Using Static Functional Connectivity Strength and Dynamic Functional Connectome Patterns: A Resting-State fMRI Study.Brain sciences · 2023Article
- Functional connectivity MRI quality control procedures in CONN.Frontiers in neuroscience · 2023Article
- Real-time and Recursive Estimators for Functional MRI Quality Assessment.Neuroinformatics · 2022Article
- A Brief Survey on No-Reference Image Quality Assessment Methods for Magnetic Resonance Images.Journal of imaging · 2022Article
- Immediate acupuncture with GB34 for biliary colic: protocol for a randomised controlled neuroimaging trial.BMJ open · 2022Article
- Modulating swallowing-related functional connectivity and behaviorFrontiers in neurology · 2022Article
- The Function of the Autonomic Nervous System in Asian Patients With Chronic Migraine.Frontiers in neuroscience · 2022Article
- A functional MRI pre-processing and quality control protocol based on statistical parametric mapping (SPM) and MATLAB.Frontiers in neuroimaging · 2022Article
- Functional magnetic resonance imaging progressive deformable registration based on a cascaded convolutional neural network.Quantitative imaging in medicine and surgery · 2021Article
- Aberrant modulations of static functional connectivity and dynamic functional network connectivity in chronic migraine.Quantitative imaging in medicine and surgery · 2021Article
- The value of a shorter-delay arterial spin labeling protocol for detecting cerebrovascular impairment.Quantitative imaging in medicine and surgery · 2021Article
- Improvement in MR quality control workflow and outcomes with a web-based database.Journal of applied clinical medical physics · 2020Article
- The Status of the Quality Control in Neuroimaging Studies of Acupuncture Analgesia.Evidence-based complementary and alternative medicine : eCAM · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Functional magnetic resonance imaging (fMRI) has been a popular approach in brain research over the past 20 years. It offers a noninvasive method to probe the brain and uses blood oxygenation level dependent (BOLD) signal changes to access brain function. However, the BOLD signal only represents a small fraction of the total MR signal. System instability and various noise have a strong impact on the BOLD signal. Additionally, fMRI applies fast imaging technique to record brain cognitive process over time, requiring high temporal stability of MR scanners. Furthermore, data acquisition, image quality, processing, and statistical analysis methods also have a great effect on the results of fMRI studies. Quality assurance (QA) programs for fMRI can test the stability of MR scanners, evaluate the quality of fMRI and help to find errors during fMRI scanning, thereby greatly enhancing the success rate of fMRI. In this review, we focus on previous studies which developed QA programs and methods in SCI/SCIE citation peer-reviewed publications over the last 20 years, including topics on existing fMRI QA programs, QA phantoms, image QA metrics, quality evaluation of existing preprocessing pipelines and fMRI statistical analysis methods. The summarized studies were classified into four categories: QA of fMRI systems, QA of fMRI data, quality evaluation of data processing pipelines and statistical methods and QA of task-related fMRI. Summary tables and figures of QA programs and metrics have been developed based on the comprehensive review of the literature.
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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.