Biological psychiatry global open science
November 1, 2024
Isaac N Treves, Hilary A Marusak, Alexandra Decker et al.
7 citations
A significant finding reveals that adolescents with higher trait mindfulness experience lower anxiety and depression symptoms. An analysis of 106 adolescents, ages 12 to 15, identified a reliable brain state characterized by hyperconnectivity, showing an intraclass correlation coefficient of 0.65. This state, marked by elevated positive connectivity between networks, was positively correlated with self-reported trait mindfulness. While most dynamic brain states were unreliable across scans, this hyperconnected state may reflect enhanced awareness and arousal in those exhibiting higher mindfulness traits.
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.
bioRxiv : the preprint server for biology
July 4, 2024
Isaac N Treves, Hilary A Marusak, Alexandra Decker et al.
3 citations
preprint
A highly reliable brain state linked to trait mindfulness was identified in adolescents, highlighting its potential role in mental health. In a study of 106 participants aged 12 to 15, one hyperconnected state showed good reliability (ICC=0.65) and correlated positively with self-reported trait mindfulness. Adolescents exhibiting higher trait mindfulness experienced lower anxiety and depression symptoms. While most dynamic brain states were unreliable across scans, this particular state suggests that increased mindfulness may enhance awareness and arousal, offering insights into adolescent mental well-being.
European archives of psychiatry and clinical neuroscience
May 21, 2024
Zack Y Shan, Adem T Can, Abdalla Z Mohamed et al.
3 citations
Ketamine treatment for chronic suicidality alters how brain networks synchronize and transition over time. In a 6-week open-label trial with 29 patients, those who received ketamine showed significantly more transitions among whole-brain connectivity states after treatment. At a 10-week follow-up, patients spent more time in and more frequently visited a highly synchronized brain state, and these changes correlated with reduced suicidal ideation scores. Patients who persistently responded to ketamine had a higher baseline fraction of a cognitive control network state with strong connections, suggesting that pre-treatment brain connectivity patterns may help predict who will benefit from ketamine therapy. These findings point to a biological mechanism for ketamine's suicide-prevention effects.
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.