Schultz, K. E. | bioRxiv Science

bioRxiv2026

EEG Oscillations in Guided Mindfulness versus Mind-Wandering in Young Adults: Effects of Auditory Task Instruction and Naturalistic Video

Alpha and theta band EEG oscillations have been implicated in states of mindfulness meditation. However, results are inconsistent and the influence of testing environment variables is not well-characterized. We used EEG to measure the amplitude of brain oscillations in a mindful-attention versus mind-wandering condition, in which guided auditory instructions were interleaved with periods of silence, with and without accompanying naturalistic video projections. We generated precise measures of alpha and theta in a sample of 20 young-adult non-expert meditators, by identifying each participant's individual alpha peak frequency (IAF) from posterior EEG electrodes and using it to define four individualized frequency bands: two low alpha bands (in 2 Hz increments below the IAF), one upper alpha band (from IAF to 2 Hz above IAF), and one theta band (4 Hz - 6 Hz below IAF). We found that the mindfulness manipulation significantly increased power in alpha ranging between 2 Hz below to 2 Hz above IAF, including peak alpha amplitude, compared with mind-wandering. Meanwhile, central theta amplitude was larger when auditory instructions were on versus off, and naturalistic video did not reliably modulate the EEG effects of mindfulness. We conclude that the acute effects of mindfulness in non-expert meditators are most consistently observed as increases of posterior alpha-band activity, and that auditory task-instructions should be accounted for in studies of guided meditation. Observed alpha increases may reflect induced states of calm or relaxation induced by mindfulness practice, as proposed in previous studies. These results may apply to mindfulness training or biofeedback therapies.

neuroscience↗

bioRxiv2021

STOPPING A CONTINUOUS MOVEMENT: A NOVEL APPROACH TO INVESTIGATING MOTOR CONTROL

Flexible, adaptive behavior is critically dependent on inhibitory control. For example, if you suddenly notice you are about to step on a tack and would prefer not to, the ability to halt your ongoing movement is critical. To address limitations in existing approaches for studying your ability to rapidly terminate your movement ("stopping"), we developed a novel stop task. This task requires termination of ongoing motor programs, provides a direct measure of SSRT, and allows for comparison of the same behavior (stopping) in conditions that elicit either prepared or reactive inhibitory control. Here, we present and evaluate our novel Continuous Movement Stop Task (CMST). We examined several versions of the task in a total of 49 participants. Our data reveal that the CMST is effectively able to dissociate stopping behavior between the planned and unplanned conditions. Additionally, within the subset of participants for which we measured speed, we found that participants initiated stopping (with respect to the stop signal) significantly earlier on planned stop compared to unplanned stop trials. Finally, participants took longer to arrive at full motor arrest (i.e. SSRT) following stop initiation on planned than on unplanned stop trials. This novel task design will enable a more precise quantification of stopping behavior and, in conjunction with neuroscientific methods, could provide more rigorous characterization of brain networks underlying stopping.

neuroscience↗