ReviewNeuroimaging clinics of North America2017
Ten Key Observations on the Analysis of Resting-state Functional MR Imaging Data Using Independent Component Analysis.
Review in Neuroimaging clinics of North America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.
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.
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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
73 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Dysconnectivity of Multiple Brain Networks in Schizophrenia: A Meta-Analysis of Resting-State Functional Connectivity.Frontiers in psychiatry · 2019Pooled it
- Aberrant salience is selectively associated with ventral midbrain connectivity to the dorsal but not ventral striatum.Schizophrenia (Heidelberg, Germany) · 2026Article
- Functional connectivity changes in obsessive-compulsive disorder following exposure and response prevention.Translational psychiatry · 2026Article
- NeuroMark-DyFICA: NeuroMark dynamic frequency-informed ICA with high-frequency spatial filtering for windowed fMRI analysis.Network neuroscience (Cambridge, Mass.) · 2026Article
- Parallel multilink group joint ICA (pmg-jICA): Fusion of 3D structural and 4D functional data across multiple resting fMRI networks.Network neuroscience (Cambridge, Mass.) · 2026Article
- Group Information Guided Smooth Independent Component Analysis Method for Multi-Subject fMRI Data Analysis.IEEE journal of biomedical and health informatics · 2026Article
- Unraveling the Neural Landscape of Mental Disorders Using Double Functional Independent Primitives.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Neurobiology-based cognitive biotypes using multi-scale intrinsic connectivity networks in psychotic disorders.Schizophrenia (Heidelberg, Germany) · 2025Article
- Article
- Robustness, spatial detail, and pitfalls of fixed ICA dimensionality in resting-state fMRI networks at 1.5, 3, and 7 T.Frontiers in neuroscience · 2025Article
- Effective connectivity analysis of response inhibition functional network.Frontiers in neuroscience · 2025Article
- A telescopic independent component analysis on functional magnetic resonance imaging dataset.Network neuroscience (Cambridge, Mass.) · 2025Article
- Alterations of the resting-state brain network connectivity and gray matter volume in patients with fibromyalgia in comparison to ankylosing spondylitis.Scientific reports · 2024Article
- Altered Function and Structure of the Cerebellum Associated with Gut-Brain Regulation in Crohn's Disease: a Structural and Functional MRI Study.Cerebellum (London, England) · 2024Article
- Individualized rTMS Intervention Targeting Sleep Deprivation-Induced Vigilance Decline: Task fMRI-Guided Approach.CNS neuroscience & therapeutics · 2024Article
- Relationship between central autonomic effective connectivity and heart rate variability: A Resting-state fMRI dynamic causal modeling study.NeuroImage · 2024Article
- Association of Normative and Non-Normative Brain Networks With Cognitive Function in Patients With Temporal Lobe Epilepsy.Neurology · 2024Article
- Unraveling the Neural Landscape of Mental Disorders using Double Functional Independent Primitives (dFIPs).bioRxiv : the preprint server for biology · 2024Article
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.bioRxiv : the preprint server for biology · 2024Article
- Hierarchical Principal Components for Data-Driven Multiresolution fMRI Analyses.Brain sciences · 2024Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
For more than 20 years, the powerful, flexible family of independent component analysis (ICA) techniques has been used to examine spatial, temporal, and subject variation in functional magnetic resonance (fMR) imaging data. This article provides an overview of 10 key principles in the basic and advanced application of ICA to resting-state fMR imaging. ICA's core advantages include robustness to artifact; false-positives and autocorrelation; adaptability to variant study designs; agnosticism to the temporal evolution of fMR imaging signals; and ability to extract, identify, and analyze neural networks. ICA remains in the vanguard of fMRI methods development.
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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.