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Bradford A. Moffat

3 papers in the library · 7 citations · publishing 2023-2025

Papers

Neurofeedback Training Facilitates Awareness and Enhances Emotional Well-being Associated with Real-World Meditation Practice: A 7-T MRI Study.

Mindfulness (N Y) September 26, 2025 Saampras Ganesan, Nicholas T. Van Dam, Sunjeev K. Kamboj et al. 3 citations

A 7-Tesla MRI study found that neurofeedback training (NFT) helps people become more aware of their mental states and boosts emotional well-being during real-world meditation. Participants who received NFT showed improved self-awareness and greater emotional benefits from meditation compared to those who did not receive NFT. The results suggest that NFT can enhance the positive effects of meditation practice.

High-precision neurofeedback-guided meditation training optimises real-world self-guided meditation practice for well-being

bioRxiv (Cold Spring Harbor Laboratory) October 26, 2024 Saampras Ganesan, Nicholas T. van Dam, Sunjeev K. Kamboj et al. 3 citations preprint

Personalized high-precision neurofeedback (NF) can help novice meditators better disengage from mental activity during meditation, improving emotional well-being and mindful awareness. In a single-blind, controlled study, 40 novices received two days of meditation training with feedback from either their own or a matched participant's posterior cingulate cortex (PCC) activity, measured using 7 Tesla fMRI. The experimental group showed stronger functional decoupling of PCC from dorsolateral prefrontal cortex, indicating improved control over disengagement. This led to greater improvements in emotional well-being and mindful awareness during a week of real-world self-guided meditation, supporting the utility of NF-guided meditation training.

Meditation attenuates Default-mode activity: a pilot study using ultra-high strength MRI

bioRxiv (Cold Spring Harbor Laboratory) January 3, 2023 Saampras Ganesan, Bradford A. Moffat, Nicholas T. van Dam et al. 1 citation preprint

Using ultra-high strength 7 Tesla fMRI, a pilot study scanned 10 beginner meditators during focused attention meditation and rest. Meditation significantly reduced activity in Default-mode network hubs—antero-medial prefrontal cortex, posterior cingulate cortex, precuneus—and in visual and thalamic regions, even after adjusting for physiological differences between conditions. State Mindfulness Scale scores significantly increased after the meditation session and remained elevated at a two-week follow-up. The findings support that focused attention meditation attenuates default-mode activity linked to self-referential processing, establishing the feasibility of 7 Tesla fMRI for meditation research.