ArticleNeuroImage2019
The effects of psychiatric history and age on self-regulation of the default mode network.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses 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.
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
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?Human brain mapping · 2020Pooled it
- A systematic review of fMRI neurofeedback reporting and effects in clinical populations.NeuroImage. Clinical · 2020Pooled it
- Brain Structural and Functional Neuroimaging Features are Associated With Improved Auditory Hallucinations in Patients With Schizophrenia After Real-Time fMRI Neurofeedback.Depression and anxiety · 2025Trial
- Aesthetics, illusion of success and age interactions: disentangling effects in the closed-loop design with sham neurofeedback training.Frontiers in human neuroscience · 2025Article
- Neurofeedback training of executive function in autism spectrum disorder: distinct effects on brain activity levels and compensatory connectivity changes.Journal of neurodevelopmental disorders · 2024Article
- Functional and structural connectivity success predictors of real-time fMRI neurofeedback targeting DLPFC: Contributions from central executive, salience, and default mode networks.Network neuroscience (Cambridge, Mass.) · 2024Article
- The impact of aging on morphometric changes in the cerebellum: A voxel-based morphometry study.Frontiers in aging neuroscience · 2023Article
- Real-time neurofeedback to alter interpretations of a naturalistic narrative.Neuroimage. Reports · 2022Article
- Neurofeedback and neural self-regulation: a new perspective based on allostasis.Reviews in the neurosciences · 2022Review
- Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks.Scientific reports · 2021Article
- Earliest amyloid and tau deposition modulate the influence of limbic networks during closed-loop hippocampal downregulation.Brain : a journal of neurology · 2020Article
- Real-time fMRI neurofeedback reduces auditory hallucinations and modulates resting state connectivity of involved brain regions: Part 2: Default mode network -preliminary evidence.Psychiatry research · 2020Article
- Neuromodulation of brain activation associated with addiction: A review of real-time fMRI neurofeedback studies.NeuroImage. Clinical · 2020Review
- Mental Imagery and Brain Regulation-New Links Between Psychotherapy and Neuroscience.Frontiers in psychiatry · 2019Review
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 at 2 institutions in 3 countries.
Funding
Abstract
Real-time neurofeedback enables human subjects to learn to regulate their brain activity, effecting behavioral changes and improvements of psychiatric symptomatology. Neurofeedback up-regulation and down-regulation have been assumed to share common neural correlates. Neuropsychiatric pathology and aging incur suboptimal functioning of the default mode network. Despite the exponential increase in real-time neuroimaging studies, the effects of aging, pathology and the direction of regulation on neurofeedback performance remain largely unknown. Using real-time fMRI data shared through the Rockland Sample Real-Time Neurofeedback project (N = 136) and open-access analyses, we first modeled neurofeedback performance and learning in a group of subjects with psychiatric history (n
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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.