ArticleNetwork neuroscience (Cambridge, Mass.)2020
Brain network topology predicts participant adherence to mental training programs.
Article in Network neuroscience (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Social determinants of health and brain connectivity predict physical activity behavior change after new cardiovascular diagnosis.PNAS nexus · 2025Article
- Mindfulness Meditation and Network Neuroscience: Review, Synthesis, and Future Directions.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Review
- Resting-state MRI functional connectivity as a neural correlate of multidomain lifestyle adherence in older adults at risk for Alzheimer's disease.Scientific reports · 2023Article
- Article
- Resting state functional connectivity in SLE patients and association with cognitive impairment and blood-brain barrier permeability.Rheumatology (Oxford, England) · 2023Article
- Adherence to cognitive and physical exercise engagement: a challenge to successful dementia risk reduction and prevention efforts.Frontiers in dementia · 2023Article
- Individual-specific networks for prediction modelling - A scoping review of methods.BMC medical research methodology · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Adherence determines the success and benefits of mental training (e.g., meditation) programs. It is unclear why some participants engage more actively in programs for mental training than others. Understanding neurobiological factors that predict adherence is necessary for understanding elements of learning and to inform better designs for new learning regimens. Clustering patterns in brain networks have been suggested to predict learning performance, but it is unclear whether these patterns contribute to motivational aspects of learning such as adherence. This study tests whether configurations of brain connections in resting-state fMRI scans can be used to predict adherence to two programs: meditation and creative writing. Results indicate that greater system segregation and clustering predict the number of practice sessions and class participation in both programs at a wide range of network thresholds (corrected
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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.