Biological psychiatry. Cognitive neuroscience and neuroimaging
April 1, 2025
Saampras Ganesan, Fernando A Barrios, Ishaan Batta et al.
6 citations
Meditation practices, which have shown therapeutic benefits for conditions like depression, pain, addiction, and anxiety, have been studied with neuroimaging over the past decade. However, existing neuroscientific models are based on small, heterogeneous datasets, limiting generalizability and replicability. The ENIGMA-Meditation consortium is the first worldwide collaborative effort to conduct systematic meta- and mega-analyses of globally distributed neuroimaging data using standardized methods. This framework aims to improve statistical power and address multidomain heterogeneity in meditation practice types, experience, and experimental design. The consortium will generate rigorous neuroscientific insights into the mechanisms underlying meditation's therapeutic effects on psychological and cognitive attributes.
Translational psychiatry
July 13, 2025
Xiaoqian Yu, Aki Tsuchiyagaito, Masaya Misaki et al.
4 citations
Adolescents who experienced early life adversity (ELA) show greater difficulty down-regulating the posterior cingulate cortex (PCC), a key node of the default mode network, compared to healthy controls. A neurofeedback-augmented mindfulness training combining breath focus with real-time fMRI neurofeedback targeting the PCC was tested in 43 ELA-exposed and 40 healthy adolescents. Those with ELA were randomly assigned to active or sham neurofeedback. Both active and sham groups showed similar PCC down-regulation, and all adolescents reported increased state mindfulness after training. ELA-exposed adolescents reported greater improvements in positive affect, negative affect, and stress at one-week follow-up relative to controls, but there was no difference between active and sham neurofeedback on self-reported measures. The approach was feasible and acceptable for ELA-exposed adolescents but may not enhance mindfulness training beyond sham.
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.
Frontiers in neuroscience
January 1, 2024
Kelly T Cosgrove, Aki Tsuchiyagaito, Zsofia P Cohen et al.
3 citations
A pilot study tested whether a single session of neurofeedback-augmented mindfulness training (NAMT) altered resting-state functional connectivity of the posterior cingulate cortex (PCC) in typically developing adolescents. Thirty-one adolescents (average age 14.8 years; 45% female) underwent resting-state fMRI before and after the NAMT task. The hypothesized decrease in connectivity between the PCC and other default mode network regions was not supported. However, functional connectivity between the PCC and a cluster including the left hippocampus and amygdala increased significantly after the task (Fisher's Z from 0.16 to 0.26). This preliminary finding suggests NAMT may strengthen connectivity between default mode and salience regions, potentially supporting self-referential and emotional processing.
April 8, 2024
Saampras Ganesan, Aki Tsuchiyagaito, Greg J. Siegle et al.
2 citations
preprint
Meditation practices, which have been adapted into manualized interventions for conditions like depression, pain, addiction, and anxiety, show therapeutic promise, but their neuroscientific basis remains unclear. Current neuroimaging studies rely on small, heterogeneous datasets that vary in practice types, participant experience, clinical targets, and imaging methods, limiting generalizability and replicability. To address this, the ENIGMA-Meditation consortium was formed as a global collaboration to conduct systematic meta- and mega-analyses of distributed neuroimaging data using standardized methods. This framework aims to improve statistical power and rigorously characterize the neural mechanisms underlying meditation's effects on psychological and cognitive attributes, advancing the field of contemplative neuroscience.