ArticleNeuroImage2017
Hand classification of fMRI ICA noise components.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 296 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.
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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
296 citing papers in PubMed.
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- Multi-omics characterization of improved cognitive functions in Parkinson's disease patients after the combined metabolic activator treatment: a randomized, double-blinded, placebo-controlled phase II trial.Brain communications · 2025Trial
- General and anxiety-linked influences of acute serotonin reuptake inhibition on neural responses associated with attended visceral sensation.Translational psychiatry · 2024Trial
- Prenatal Magnesium Sulfate and Functional Connectivity in Offspring at Term-Equivalent Age.JAMA network open · 2024Trial
- Focal tDCS of auditory cortex in chronic tinnitus: A randomized controlled mechanistic trial.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024Trial
- A randomized controlled trial investigating the effect of liraglutide on self-reported liking and neural responses to food stimuli in participants with obesity.International journal of obesity (2005) · 2023Trial
- Cerebral Adaptation Associated with Peripheral Nerve Recovery in Neuralgic Amyotrophy: A Randomized Controlled Trial.Neurorehabilitation and neural repair · 2023Trial
- Clinical evaluation and resting state fMRI analysis of virtual reality based training in Parkinson's disease through a randomized controlled trial.Scientific reports · 2022Trial
- Brain functional connectivity in children with developmental coordination disorder following rehabilitation intervention.Pediatric research · 2022Trial
- Individualized Network Topography in Pre-adolescent Children and Adults Using Naturalistic Precision fMRI.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Orbitofrontal cortex and amygdala as key regions for the classification of small animal phobia: A structural MRI machine learning study.Cognitive, affective & behavioral neuroscience · 2026Article
- TE-aware state analysis and evolution in dynamic network connectivity.bioRxiv : the preprint server for biology · 2026Article
- Retinotopic coding organizes the interaction between internally and externally oriented brain networks.eLife · 2026Article
- Negative BOLD response to interictal discharges in epilepsy using intracranial EEG-fMRI.Neuroimage. Reports · 2026Article
- Functional connectivity changes in obsessive-compulsive disorder following exposure and response prevention.Translational psychiatry · 2026Article
- Article
- Auditory Network Discoherence in Chronic Tinnitus.medRxiv : the preprint server for health sciences · 2026Article
236 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
12 authors.
Funding
Abstract
We present a practical "how-to" guide to help determine whether single-subject fMRI independent components (ICs) characterise structured noise or not. Manual identification of signal and noise after ICA decomposition is required for efficient data denoising: to train supervised algorithms, to check the results of unsupervised ones or to manually clean the data. In this paper we describe the main spatial and temporal features of ICs and provide general guidelines on how to evaluate these. Examples of signal and noise components are provided from a wide range of datasets (3T data, including examples from the UK Biobank and the Human Connectome Project, and 7T data), together with practical guidelines for their identification. Finally, we discuss how the data quality, data type and preprocessing can influence the characteristics of the ICs and present examples of particularly challenging datasets.
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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.