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Todd S. Braver

8 papers in the library · 12 citations · publishing 2025-2026

Papers

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Meditation-Specific Neural Predictors of State Mindfulness During Eyes Open Meditation

Mindfulness May 11, 2026 Marne L. White, Yanli Lin, Todd S. Braver

Abstract Objectives Focused attention (FA) and open monitoring (OM) are distinct mindfulness practices that produce unique psychological effects. Prior research has frequently investigated the neural correlates of FA and OM states utilizing electroencephalographic (EEG) methods, focusing on changes in spectral power within theta and alpha bands. Yet the functional significance of these neural...

Neural dynamics of mindfulness training: A longitudinal EEG network analysis of focused attention and open monitoring meditation

Network Neuroscience March 13, 2026 Yanli Lin, Marne L. White, Jihong Zhang et al. 1 citation

Abstract Neural oscillatory activity within the alpha and theta bands have long been considered putative markers of state mindfulness, yet understanding of their functional role has been limited by the challenges of linking objective brain indices with subjective experience. To address this gap, the current study applied longitudinal network analysis to a unique dataset from 16 novices who...

The Mindfulness Internal Attention (MIA) Framework: Uncovering the Attentional Mechanisms of Mindfulness Training.

Annual Review of Psychology 2026 Yuval Hadash, Omer Dar, Iftach Amir et al.

Attention is theorized to have a definitive role in mindfulness and its salutary effects. Yet, findings from more than two decades of research testing this central theoretical premise have been surprisingly mixed. To account for this paradoxical disparity between theory and findings, we propose the Mindfulness Internal Attention (MIA) framework. We theorize and review initial findings...

Reconceptualizing the relationship between anxiety, mindfulness, and cognitive control.

Neuroscience and Biobehavioral Reviews June 1, 2025 Resh S Gupta, Wendy Heller, Todd S. Braver 3 citations

Prior research has provided initial support for the claim that cognitive control mediates the relationship between anxiety and mindfulness; however, findings are often inconsistent. In this review, we argue that the inconsistency may be due to a lack of both conceptual and methodological precision in terms of how anxiety, cognitive control, and mindfulness are operationalized and assessed, and...

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 is a family of ancient and contemporary contemplative mind-body practices that can modulate psychological processes, awareness, and mental states. Over the last 40 years, clinical science has manualized meditation practices and designed various meditation interventions that have shown therapeutic efficacy for disorders including depression, pain, addiction, and anxiety. Over the past...

Decoding Mindfulness With Multivariate Predictive Models.

Biological psychiatry. Cognitive neuroscience and neuroimaging April 1, 2025 Jarrod A Lewis-Peacock, Tor D Wager, Todd S. Braver 2 citations

Identifying the brain mechanisms that underlie the salutary effects of mindfulness meditation and related practices is a critical goal of contemplative neuroscience. Here, we suggest that the use of multivariate predictive models represents a promising and powerful methodology that could be better leveraged to pursue this goal. This approach incorporates key principles of multivariate decoding,...

Dynamical models reveal anatomically reliable attractor landscapes embedded in resting-state brain networks.

Imaging neuroscience (Cambridge, Mass.) 2025 Ruiqi Chen, Matthew Singh, Todd S. Braver et al.

Analyses of functional connectivity (FC) in resting-state brain networks (RSNs) have generated many insights into cognition. However, the mechanistic underpinnings of FC and RSNs are still not well-understood. It remains debated whether resting-state activity is best characterized as reflecting noise-driven fluctuations around a single stable state, or instead, as a nonlinear dynamical system...