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Valentina Lorenzetti

5 papers in the library · 20 citations · publishing 2023-2026

Papers

Meditation attenuates default-mode activity: A pilot study using ultra-high field 7 Tesla MRI.

Brain research bulletin October 15, 2023 Saampras Ganesan, Bradford A Moffat, Nicholas T Van Dam et al. 13 citations

Using 7 Tesla functional MRI, a pilot study scanned 10 beginner meditators during focused attention meditation (attending to breathing) and non-focused rest. After adjusting for physiological differences, meditation reduced activity in default-mode network hubs (antero-medial prefrontal and posterior cingulate cortices, precuneus) and visual and thalamic regions compared to rest. These reductions survived stringent corrections for physiological fluctuations. State mindfulness scores rose significantly after the session and remained elevated at a 2-week follow-up. The findings support evidence that focused attention meditation dampens default-mode activity tied to self-referential processing and demonstrate the feasibility of ultra-high field fMRI for meditation research.

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.

What Do Thirty Years of Neuroimaging Research Tell Us About Recreational Cannabis Use and Brain Integrity? A Narrative Review of the Multimodal Neuroimaging Evidence to Date.

Substance abuse and rehabilitation January 1, 2026 Ethan Murphy, Chao Suo, Govinda Poudel et al.

Acute intoxication with delta-9-tetrahydrocannabinol (THC) is consistently associated with greater brain activity in fronto-striatal pathways. Regular cannabis users, compared to non-users, show lower hippocampal volume, reduced white matter microstructure in the superior longitudinal fasciculus, and altered fronto-striatal activity and connectivity during cue-reactivity tasks and at rest. Emerging evidence from Positron Emission Tomography studies indicates lower N-acetyl aspartate, reduced glucose metabolism in the frontal cortex, and lower density of cannabinoid receptors in fronto-striatal pathways, which may reverse with abstinence. Longitudinal multimodal neuroimaging studies are needed to determine whether these brain differences precede or follow cannabis use and whether they dissipate with abstinence.