BMC psychiatry
October 17, 2023
Paul A Bloom, David Pagliaccio, Jiahe Zhang et al.
17 citations
Adolescents with major depressive disorder (MDD) may benefit from a non-invasive technique that combines mindfulness with real-time fMRI neurofeedback (mbNF) to reduce activity in the default mode network (DMN), a brain network linked to rumination. In a planned trial, 90 adolescents aged 13–18 with MDD will be randomly assigned to receive either 15 or 30 minutes of mbNF. During the procedure, participants practice mindfulness while a ball on a screen moves based on their brain activity, targeting the frontoparietal network relative to the DMN. The study will test whether mbNF reduces functional connectivity within the DMN and whether longer dosing produces greater effects, with secondary outcomes including changes in depressive symptoms and rumination.
Journal of medical Internet research
April 17, 2025
Isaac Treves, Zia Bajwa, Keara D Greene et al.
8 citations
Consumer-grade neurofeedback devices used during meditation produce a modest reduction in psychological distress compared to control conditions, but no improvements in cognition, mindfulness, or physiological health. A systematic review and meta-analysis of 21 randomized studies (763 participants in training trials, 167 in within-participant designs) found a small effect for distress reduction (g=-0.16) but no evidence that the devices help users modulate brain targets or deepen meditation. Most studies used the Muse device and mindfulness apps as controls. The authors suggest observed benefits may stem from placebo effects (neurosuggestion) rather than genuine neurofeedback. Adverse effects were rarely assessed.
bioRxiv Preprint Server
January 20, 2024
Aaron Kucyi, Nathan Anderson, Tiara Bounyarith et al.
2 citations
preprint
Mind-wandering, a common daily mental activity, varies uniquely from person to person. In three individuals who each reported hundreds of mind-wandering episodes during multiple fMRI sessions, reliable links between mind-wandering and default mode network (DMN) activation emerged when brain networks were analyzed within each person. However, the timing of spontaneous DMN activity relative to subjective reports, and the broader networks activated or deactivated during mind-wandering, differed across individuals. Whole-brain connectivity patterns that predicted mind-wandering within an individual did not fully generalize to others, and predictive models from larger datasets largely failed when applied to these densely-sampled individuals. This work demonstrates both conserved and variable neural representations of mind-wandering, highlighting the value of personalized approaches.