Molecular psychiatry
June 1, 2023
Jiahe Zhang, Jovicarole Raya, Francesca Morfini et al.
65 citations
Adolescents with a lifetime history of depression or anxiety (n = 9) participated in a proof-of-concept study using personalized mindfulness-based fMRI neurofeedback to reduce default mode network hyperconnectivity, a neural mechanism linked to depressive symptoms. After a resting state fMRI localizer to map each adolescent's default mode and central executive networks, a brief mindfulness training and neurofeedback session followed. The neurofeedback successfully engaged the target brain state, with participants spending more time with default mode network activation lower than central executive network activation. Within-default mode network connectivity decreased in all nine adolescents, correlating with increased state mindfulness after the session. Reduced within-default mode network connectivity mediated the link between better neurofeedback performance and increased state mindfulness, suggesting this non-invasive method can modulate networks involved in adolescent depression.
Journal of cognitive neuroscience
November 1, 2024
Isaac N Treves, Kannammai Pichappan, Jude Hammoud et al.
35 citations
Greater trait mindfulness, measured by self-report scales, is consistently linked with reduced amygdala reactivity to emotional stimuli, increased cortical thickness in frontal and insular regions, and decreased connectivity within the default-mode network, converging with findings from intervention studies and mindfulness experts. However, associations with EEG metrics and between-network resting-state fMRI remain inconclusive. The authors recommend larger samples, multivariate approaches, and careful reliability testing, urging a move away from simplistic explanations of mindfulness and brain function.
Biological psychiatry. Cognitive neuroscience and neuroimaging
April 1, 2025
Vaibhav Tripathi, Ishaan Batta, Andre Zamani et al.
23 citations
The default mode network (DMN) is linked to self-referential thinking, memory, and goal-directed cognition. Its functional connectivity with frontoparietal networks involved in attention and executive control may indicate cognitive health. This review examines DMN connectivity metrics as potential biomarkers across states like attention, mind wandering, and meditation, and in conditions such as Alzheimer's disease, Parkinson's disease, depression, and ADHD. It also addresses the reliability of network estimation and offers recommendations for using functional connectivity measures as biomarkers of cognitive health.
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.
Biological psychiatry. Cognitive neuroscience and neuroimaging
April 1, 2025
Ruchika S Prakash, Anita Shankar, Vaibhav Tripathi et al.
13 citations
Network neuroscience examines brain organization by mapping connections between its elements. This review describes how mindfulness meditation may alter structural and functional brain networks. Although evidence is preliminary, studies suggest mindfulness shifts connector hubs—the anterior cingulate cortex, thalamus, and mid-insula—and reduces intraconnectivity within the default mode network. Global connectivity findings are mixed. The authors call for rigorous study designs, open science, and diverse samples to better understand mindfulness's impact on brain networks.
bioRxiv : the preprint server for biology
September 15, 2024
Isaac N Treves, Keara D Greene, Zia Bajwa et al.
7 citations
preprint
A systematic review of EEG and fMRI studies combining mindfulness meditation with neurofeedback found that fMRI studies primarily aimed to downregulate the default-mode network (DMN). Although decreases in DMN activations were observed during neurofeedback, there is a lack of evidence for transfer effects, and most studies lacked adequate controls such as sham neurofeedback, so DMN decreases may be confounded by general task-related deactivation. EEG studies most robustly supported modulation of theta band activity. Both EEG and fMRI mindfulness-based neurofeedback have been implemented with high fidelity in clinical populations, but mental health benefits have not been established. The review recommends sham-controlled RCTs and clear reporting using CRED-NF guidelines.
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.
Biological psychiatry. Cognitive neuroscience and neuroimaging
April 1, 2025
Clemens C C Bauer, Daniel A Atad, Norman Farb et al.
3 citations
The observer effect—the idea that observing a phenomenon changes it—is often seen as a problem to control, but this paper argues it should be actively studied and used. Mindfulness practices, which cultivate present-moment, nonjudgmental awareness, are proposed as a way to account for and intentionally harness this effect. In research, mindfulness training may help participants give more precise self-reports by reducing reactive biases. Evidence suggests mindfulness improves interoceptive awareness and reduces automatic judgment, potentially increasing measurement validity. Clinically, therapies often aim to make unconscious patterns observable; mindfulness cultivates meta-awareness, allowing individuals to observe cravings or anxiety without reactivity, facilitating psychological change. The paper proposes developing an observer-effect index to code observer influence.