SynthesisBrain imaging and behavior2019
A resting state fMRI analysis pipeline for pooling inference across diverse cohorts: an ENIGMA rs-fMRI protocol.
Synthesis in Brain imaging and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses 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.
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Who cites it
43 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Diffusion-Weighted Imaging in Mild Traumatic Brain Injury: A Systematic Review of the Literature.Neuropsychology review · 2023Pooled it
- Challenges and opportunities for neuroimaging in young patients with traumatic brain injury: a coordinated effort towards advancing discovery from the ENIGMA pediatric moderate/severe TBI group.Brain imaging and behavior · 2021Pooled it
- The ENIGMA Brain Injury working group: approach, challenges, and potential benefits.Brain imaging and behavior · 2021Pooled it
- Effects of ketamine and midazolam on resting state connectivity and comparison with ENIGMA connectivity deficit patterns in schizophrenia.Human brain mapping · 2020Trial
- Age-Related Low Frequency Amplitude Differences in Resting-State Blood Oxygenation Level-Dependent Signal in the Cerebellum.Human brain mapping · 2026Article
- Systematic fMRI signal differences across cohorts alter lifespan trajectories of functional brain networks.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Harnessing Dietary Tryptophan: Bridging the Gap Between Neurobiology and Psychiatry in Depression Management.International journal of molecular sciences · 2026Review
- Structurally constrained functional connectivity reveals efficient visuomotor decision-making mechanisms in action video gamers.Scientific reports · 2025Article
- ENIGMA's simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury.NeuroImage. Clinical · 2024Review
- Reliability of resting-state functional connectivity in the human spinal cord: Assessing the impact of distinct noise sources.NeuroImage · 2023Article
- Reduced vmPFC-insula functional connectivity in generalized anxiety disorder: a Bayesian confirmation study.Scientific reports · 2023Article
- Evaluating increases in sensitivity from NORDIC for diverse fMRI acquisition strategies.NeuroImage · 2023Article
- Aberrant olfactory network functional connectivity in people with olfactory dysfunction following COVID-19 infection: an exploratory, observational study.EClinicalMedicine · 2023Article
- A highly replicable decline in mood during rest and simple tasks.Nature human behaviour · 2023Article
- Five negative symptom domains are differentially associated with resting state amplitude of low frequency fluctuations in Schizophrenia.Psychiatry research. Neuroimaging · 2023Article
- An examination of the reliability of seed-to-seed resting state functional connectivity in tinnitus patients.Neuroimage. Reports · 2023Article
- Resting-state functional MRI in multicenter studies on multiple sclerosis: a report on raw data quality and functional connectivity features from the Italian Neuroimaging Network Initiative.Journal of neurology · 2023Article
- Efficient PCA denoising of spatially correlated redundant MRI data.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity.IEEE transactions on bio-medical engineering · 2023Article
- Cerebral blood flow and cardiovascular risk effects on resting brain regional homogeneity.NeuroImage · 2022Article
Corrections and comments
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Authors and funding
33 authors.
Funding
Abstract
Large-scale consortium efforts such as Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) and other collaborative efforts show that combining statistical data from multiple independent studies can boost statistical power and achieve more accurate estimates of effect sizes, contributing to more reliable and reproducible research. A meta- analysis would pool effects from studies conducted in a similar manner, yet to date, no such harmonized protocol exists for resting state fMRI (rsfMRI) data. Here, we propose an initial pipeline for multi-site rsfMRI analysis to allow research groups around the world to analyze scans in a harmonized way, and to perform coordinated statistical tests. The challenge lies in the fact that resting state fMRI measurements collected by researchers over the last decade vary widely, with variable quality and differing spatial or temporal signal-to-noise ratio (tSNR). An effective harmonization must provide optimal measures for all quality data. Here we used rsfMRI data from twenty-two independent studies with approximately fifty corresponding T1-weighted and rsfMRI datasets each, to (A) review and aggregate the state of existing rsfMRI data, (B) demonstrate utility of principal component analysis (PCA)-based denoising and (C) develop a deformable ENIGMA EPI template based on the representative anatomy that incorporates spatial distortion patterns from various protocols and populations.
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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.