Load-Dependent Modulation of Cognitive Control Following OM Meditation: Time-Resolved EEG Evidence from the N2
Gyaneshwar Singh1, M Ummesalma1, Suhas Vinchurkar2
1Department of Statistics and Data Science, CHRIST (Deemed to Be University), Hosur Road, Bengaluru, Karnataka, 560029, India.
Abstract:
Working memory (WM) depends on dynamic cognitive control processes that adapt to task demands. Although meditation has been associated with enhanced attentional regulation, its effects on load-dependent neural dynamics remain unclear. The present study investigated the effects of one month of OM meditation on behavioral performance and electrophysiological markers of cognitive control during a visual working memory task. Thirty-four healthy adult males were randomly assigned to either an OM meditation group (n = 18) or a non-meditative control group (n = 16). Electroencephalographic activity was recorded while participants performed visual n-back task with three load conditions (0-back, 1-back, and 2-back). Behavioral performance was analyzed using linear mixed-effects models. Event-related potentials (ERPs), including the P1, N1, N2, P3, and late slow wave components, were examined using both component-based and time-resolved analyses. Behaviorally, the meditation group demonstrated greater pre-post improvements in reaction time during the 0-back and 1-back conditions, but not during the 2-back condition. Accuracy remained high across all task conditions. Electrophysiologically, a significant Group × Time × Load interaction was observed for the N2 component, primarily driven by the 1-back condition. Time-resolved permutation testing further revealed a temporally localized N2 modulation under moderate working memory demand, with no reliable effects observed in other ERP components. These findings suggest that OM meditation selectively modulates monitoring-related cognitive control processes in a demand-dependent manner. More broadly, the results support adaptive models of cognitive control and highlight the value of time-resolved electrophysiological approaches for detecting transient neural changes associated with meditation training.

