Skip to content

Isaac N Treves

Meditation Research Program, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

12 papers in the library · 98 citations · publishing 2023-2025

Papers

The Mindful Brain: A Systematic Review of the Neural Correlates of Trait Mindfulness.

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.

At-home use of app-based mindfulness for children: A randomized active-controlled trial.

Mindfulness November 1, 2023 Isaac N Treves, Halie A Olson, Ola Ozernov-Palchik et al. 15 citations

An 8-week randomized controlled trial with 279 U.S. children ages 8-10 tested a remote, app-based mindfulness intervention (Inner Explorer) against two audiobook control groups. Over 80% of children completed the intervention. Children who used the mindfulness app reported reduced self-perceived stress, and parents reported reduced negative affect in their children. However, no significant reductions in anxiety or depression symptoms were found. Between-group effect sizes were small. Regular use—at least 30 days of practice within the study period—was linked to lower child negative affect (by parental report), lower parental stress, and lower child self-perceived stress. The findings suggest that home use of a mindfulness app can benefit children's emotional well-being if used regularly.

Mindfulness, cognition, and long-term meditators: Toward a science of advanced meditation.

Imaging neuroscience (Cambridge, Mass.) January 1, 2025 Sebastian Ehmann, Idil Sezer, Isaac N Treves et al. 9 citations

Long-term meditators show a distinct pattern of cognitive and neural changes from prolonged mindfulness practice, including enhanced sensory integration, reduced negative emotional responses to pain, more rational decision-making, and altered self-awareness. Neuroimaging reveals increased activation in brain networks linked to interoception and pain (salience network), reduced connectivity between executive and salience networks, diminished fear and amygdala activation, and altered default-mode network activity associated with emotional neutrality and non-ordinary states of consciousness. Methodological limitations prevent firm conclusions about lasting trait effects, and a unified neurophenomenological framework is needed to systematically study advanced meditation's states and stages.

Connectome-Based Predictive Modeling of Trait Mindfulness.

Human brain mapping January 1, 2025 Isaac N Treves, Aaron Kucyi, Madelynn Park et al. 8 citations

Trait mindfulness—the tendency to attend to present experience non-judgmentally—is linked to better mental health, but its neural basis remains unclear. In the largest resting-state fMRI study of trait mindfulness to date, involving 367 meditation-naïve adults across three sites, no connections predicted overall trait mindfulness. However, neural models for two subscales, Acting with Awareness and Non-judging, were identified. Positive networks for these subscales involved distinct fronto-parietal and default-mode networks, while negative networks overlapped across subscales and included somatomotor, visual, and default-mode regions. Only negative networks generalized to predict subscale scores in some out-of-sample tests. Predictions negatively correlated with a mind-wandering model. The findings provide preliminary evidence for generalizable connectivity models of mindfulness facets, but incomplete generalization across sites and model overlap highlight the challenge of identifying robust brain markers.

Mindfulness-based Neurofeedback: A Systematic Review of EEG and fMRI studies.

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.

ENIGMA-Meditation: Worldwide Consortium for Neuroscientific Investigations of Meditation Practices.

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.

Dynamic brain states underlying advanced concentrative absorption meditation: A 7-T fMRI-intensive case study.

Network neuroscience (Cambridge, Mass.) January 1, 2025 Isaac N Treves, Winson F Z Yang, Terje Sparby et al. 6 citations

Advanced meditation involves states and stages that develop with experience. A case study using 7-T fMRI and dynamic functional connectivity analysis of a meditator practicing jhāna advanced absorptive concentration meditation (ACAM-J) identified three distinct brain states: a default-mode network (DMN)-anticorrelated state, a hyperconnected state, and a sparsely connected state. The DMN-anticorrelated state was more prevalent during ACAM-J than control conditions and increased with deeper meditation. The hyperconnected state, marked by elevated thalamocortical and somatomotor connectivity, was also more common during ACAM-J but decreased over the session, corresponding to reports of wider attention and reduced physical sensations. This suggests that functional neuroimaging can track the dynamics of altered states of consciousness in advanced meditators.

Limited Validity of Breath-Counting as a Measure of Mindfulness in Ruminative Adolescents.

Psychophysiology May 1, 2025 Isaac N Treves, Anna O Tierney, Simon B Goldberg et al. 5 citations

A breath-counting task designed to measure mindfulness in adults was tested in 78 adolescents with high rumination. The task showed fair reliability but did not correlate positively with self-reported mindfulness, either as a trait or in daily life. Unexpectedly, more mindful adolescents performed worse on breath counting, and the task showed negative correlations with observing emotions and body sensations and with nonreactivity. Breath-counting performance was also unrelated to clinical, personality, and executive functioning measures. The findings indicate that, in this population, breath counting may measure only a narrow form of sustained attention and may not capture broader mindfulness qualities or have predictive validity.

Mindful young brains and minds: a systematic review of the neural correlates of mindfulness-based interventions in youth.

Brain imaging and behavior April 1, 2025 Jovan Jande, Isaac N Treves, Samantha L Ely et al. 4 citations

A systematic narrative review of neuroimaging studies on mindfulness-based interventions in youth (ages 5–18) found that such interventions may alter brain connectivity and activity. Analyzing 13 studies with 467 participants, most used a pre-post design with resting-state fMRI. Consistent patterns included increased functional connectivity within and between the salience, frontoparietal, and default mode networks, enhancements in white matter microstructure, and decreased default mode network activation with heightened salience network reactivity during mindfulness practice. These changes may support self-regulation and cognitive control, but methodological variability and small sample sizes limit generalizability.

Attention and meditative development: A review and synthesis of long-term meditators and outlook for the study of advanced meditation.

NeuroImage November 19, 2025 Sebastian Ehmann, Idil Sezer, Arielle S Keller et al. 2 citations

Attention regulation is a core mechanism of mindfulness meditation. Long-term meditation enhances trait-level improvements in executive attention, sustained attention, orienting, and reduces the attentional blink. Preliminary evidence also shows improvements in response inhibition, alertness, and less mind-wandering. Alertness benefits most from long-term and intensive practice. Attention-based techniques outperform non-attention-based ones, while observe-and-release techniques aid orienting and detection of closely spaced stimuli. These findings suggest that meditation enhances attention according to training specificity, but meditative development is non-linear and multidimensional, requiring balanced cultivation of multiple faculties. Methodological limitations, such as heterogeneous designs and insufficient state-trait differentiation, complicate interpretations.

Dynamic functional connectivity signatures of focused attention on the breath in adolescents.

Cerebral cortex (New York, N.Y. : 1991) February 5, 2025 Isaac N Treves, Aaron K Kucyi, Anna O Tierney et al. 1 citation

During a breath-counting task, 72 adolescents showed increased static connectivity within attention-direction and orienting networks and anticorrelations between attention networks and the default mode network compared to rest. Dynamic connectivity analysis revealed four distinct brain states, including one anticorrelated with the default mode network that was proportionally more present during the task. Brain state markers distinguished breathing tasks from rest and momentary on-task from off-task attention, but no brain states reflected between-individual behavioral variability.

Minding the Body: A Meta-analysis of the Effects of Mindfulness Meditation Training on Self-reported Interoception.

Research square June 4, 2025 Isaac N Treves, Ya-Yun Chen, Caitlyn L Wilson et al.

Mindfulness-based interventions produce small-to-medium improvements in self-reported interoceptive awareness, according to a meta-analysis of 29 randomized controlled trials involving 2,191 participants (77.8% female, mean age 32.8 years). The overall effect size was g = 0.31, with mindfulness-based programs showing the largest effects (g = 0.41). Improvements in interoception were similar in size to improvements in self-reported mindfulness and were linked to reductions in psychological distress. No evidence of publication bias was found, and no other moderators—such as practice dosage or clinical sample—were significant. The findings suggest that mindfulness training leads to adaptive changes in how people subjectively experience bodily signals, which may contribute to better mental wellbeing.