ArticleNeuroImage2020
Connectome-based neurofeedback: A pilot study to improve sustained attention.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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.
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
24 citing papers in PubMed.
- Effects of mindfulness training on sustained attention and mind-wandering in older adults: results from the HealthyAgers randomized controlled trial.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026Trial
- Whole-brain mechanism of neurofeedback therapy: predictive modeling of neurofeedback outcomes on repetitive negative thinking in depression.Translational psychiatry · 2024Trial
- Feasibility of training the dorsolateral prefrontal-striatal network by real-time fMRI neurofeedback.Scientific reports · 2022Trial
- Real-Time Neurofeedback Training to Modulate Glutamate-Glutamine Concentration Using Functional Magnetic Resonance Spectroscopy.NMR in biomedicine · 2026Article
- Neurofeedback, Biofeedback, and Basic Learning Theory: Revisiting the 2011 Conceptual Framework.Applied psychophysiology and biofeedback · 2026Review
- Paving the way for precision treatment of psychiatric symptoms with functional connectivity neurofeedback.Translational psychiatry · 2026Article
- Task-Based EEG Neurofeedback Enhances Training Effects in Dynamic Visual Search.Applied psychophysiology and biofeedback · 2026Article
- Neural Mechanisms of Feedback Processing and Regulation Recalibration During Neurofeedback Training.Human brain mapping · 2025Article
- Clinical response to neurofeedback in major depression relates to subtypes of whole-brain activation patterns during training.Molecular psychiatry · 2025Article
- Systematic review and meta-analysis of neurofeedback training efficacy and neural mechanisms in the treatment of posttraumatic stress disorder.Frontiers in neuroscience · 2025Article
- Brain-based graph-theoretical predictive modeling to map the trajectory of anhedonia, impulsivity, and hypomania from the human functional connectome.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Article
- Edge-centric network control on the human brain structural network.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Distinct neural networks predict cocaine versus cannabis treatment outcomes.Molecular psychiatry · 2023Article
- Computationally Informed Interventions for Targeting Compulsive Behaviors.Biological psychiatry · 2023Review
- Connectome-based predictive modelling of cognitive reserve using task-based functional connectivity.The European journal of neuroscience · 2023Article
- A feasibility study of goal-directed network-based real-time fMRI neurofeedback for anhedonic depression.Frontiers in psychiatry · 2023Article
- Review
- Unravelling the link between media multitasking and attention across three samples.Technology, mind, and behavior · 2023Article
- Predicting the future of neuroimaging predictive models in mental health.Molecular psychiatry · 2022Review
- Improving Attention through Individualized fNIRS Neurofeedback Training: A Pilot Study.Brain sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback is a non-invasive, non-pharmacological therapeutic tool that may be useful for training behavior and alleviating clinical symptoms. Although previous work has used rt-fMRI to target brain activity in or functional connectivity between a small number of brain regions, there is growing evidence that symptoms and behavior emerge from interactions between a number of distinct brain areas. Here, we propose a new method for rt-fMRI, connectome-based neurofeedback, in which intermittent feedback is based on the strength of complex functional networks spanning hundreds of regions and thousands of functional connections. We first demonstrate the technical feasibility of calculating whole-brain functional connectivity in real-time and provide resources for implementing connectome-based neurofeedback. We next show that this approach can be used to provide accurate feedback about the strength of a previously defined connectome-based model of sustained attention, the saCPM, during task performance. Although, in our initial pilot sample, neurofeedback based on saCPM strength did not improve performance on out-of-scanner attention tasks, future work characterizing effects of network target, training duration, and amount of feedback on the efficacy of rt-fMRI can inform experimental or clinical trial designs.
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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.