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When attention falters: brain, breathing, and behavioral signals of lapses in interoceptive attention

Isaac N Treves, Clare Shaffer, Alexandra Decker, Nigel Jaffe, Anna O Tierney, Randy P Auerbach, Christian A. Webb

bioRxiv (Cold Spring Harbor Laboratory) February 10, 2026 preprint DOI: 10.64898/2026.02.07.704566 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational cohort
Sample size 93
Population Adolescents with depressive symptoms
Duration 20-minute breath counting task
Topics Default mode network
Keywords Interoception Breathing Mind-wandering Task project management Functional connectivity Cognitive psychology Sample material Audiology Attention network Amygdala Electroencephalography Neuroimaging Brain mapping
Key findings Timing and variability of button responses were the strongest predictors of interoceptive attention lapses, with brain connectivity models incorporating default-mode, attention, and somatomotor networks showing marginal improvement over behavior-only models.

Abstract

Mind body practices like meditation and yoga, which are widely used to support mental health, involve paying attention to internal bodily sensations like the breath. During these practices, individuals often report "interoceptive lapses," moments when attention drifts away from the body. While lapses in attention to the external world have been widely studied, far less is known about physiological and neural signals that temporally predict when attention to internal sensations falters. Interoceptive lapses may share markers with exteroceptive attention lapses-such as reaction time variability and changes in default-mode network (DMN) connectivity-but may also depend on distinct brain systems and breathing physiology. To test these possibilities, we examined behavioral, physiological and neural changes preceding lapses in a convenience sample of 93 adolescents with depressive symptoms. Participants performed a 20-minute breath counting task in the fMRI scanner with simultaneous breath recordings. Lapses were defined as moments when counting errors occurred. The sample was split into a training and validation sample, and machine learning models predicting attentional lapses were tested. The strongest predictors were timing and variability of button responses (AUCs > 0.75). Breathing variability and breathing-behavior coupling showed smaller but generalizable predictive value (AUCs < 0.65). Whole-brain connectivity models also predicted lapses (AUC ≈ 0.65) and incorporated regions within the DMN, dorsal, and ventral attention networks-overlapping with systems implicated in exteroceptive attention-as well as the somatomotor network. Further, models that included brain connectivity marginally outperformed behavior-only models. Together, these findings suggest that interoceptive lapses reflect both shared mechanisms with exteroceptive attention failures and additional contributions from brain systems involved in bodily representation and sensory pathways. Although generalizability is limited by the clinical sample and absence of an exteroceptive comparison task, these results highlight candidate brain-body markers of interoceptive attention that may inform real-time monitoring during mind-body interventions and improve understanding of interoceptive disturbance in affective disorders.

Comparable studies

Other observational and cohort studies on default mode network, most cited first.

Study Year Design Participants
A default mode of brain function Normal adult human brain 2001 Observational study
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network Healthy subjects 2008 Observational cohort
Meditation experience is associated with increased cortical thickness Participants with extensive Insight meditation experience and matched controls 2005 Observational cohort n = 20
Meditation experience is associated with differences in default mode network activity and connectivity Experienced meditators and matched meditation-naive controls 2011 Observational cohort
The precuneus/posterior cingulate cortex plays a pivotal role in the default mode network: Evidence from a partial correlation network analysis Healthy subjects 2008 Observational study

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