Аннотация:https://doi.org/10.1111/psyp.14708 This study investigates the cortical correlates of motor response control and mon-itoring, using the Theory of Event Coding (TEC) as a framework to investigatesignals related to low-level sensory processing of motor reafference and high-levelresponse monitoring, including verification of response outcomes with the inter-nal model. We used a visuomotor paradigm with two targets at different distancesfrom the participant. For the recorded movement-related cortical potentials(MRCPs), we analyzed their different components and assessed the movementphases during which they are active. Residual iteration decomposition (RIDE)and multivariate pattern analysis (MVPA) were used for this analysis. UsingRIDE, we separated MRCPs into signals related to different parallel processesof visuomotor transformation: stimulus processing (S-cluster), motor responsepreparation and execution (R-cluster), and intermediate processes (C-cluster).We revealed sequential activation in the R-cluster, with execution-related nega-tive components and positive contralateral peaks reflecting reafference process-ing. We also identified the motor post-imperative negative variation within theR- cluster, highlighting the response outcome evaluation process included in theaction file. Our findings extend the understanding of C-cluster signals, typicallyassociated with stimulus–response mapping, by demonstrating C-activation fromthe preparatory stages through to response termination, highlighting its partici-pation in action monitoring. In addition, we highlighted the ability of MVPA toidentify movement-related attribute encoding: where statistical analysis showedindependence of stimulus processing activity from movement distance, MVPA re-vealed distance-related differences in the S-cluster within a time window alignedwith the lateralized readiness potential (LRP). This highlights the importance ofintegrating RIDE and MVPA to uncover the intricate neural dynamics of motorcontrol, sensory integration, and response monitoring