Publications by authors named "N V Syrov"
Mental imagery is a crucial cognitive process, yet its underlying neural mechanisms remain less understood compared to perception. Furthermore, within the realm of mental imagery, the somatosensory domain is particularly underexplored compared to other sensory modalities. This study aims to investigate the influence of tactile imagery (TI) on cortical somatosensory processing.
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- - This study explores how the brain controls and monitors motor responses, focusing on low-level sensory processing and high-level response evaluation using the Theory of Event Coding (TEC).
- - Researchers used a visuomotor task to analyze movement-related cortical potentials (MRCPs) and identified different brain signal components related to stimulus processing, motor response preparation, and evaluation of response outcomes.
- - The findings highlight the sequential activation of motor control signals and the role of statistical methods like Residual Iteration Decomposition (RIDE) and Multivariate Pattern Analysis (MVPA) in understanding the relationship between sensory processing and motor execution, particularly how the brain evaluates actions as they occur.
Tactile and motor imagery are crucial components of sensorimotor functioning and cognitive neuroscience research, yet the neural mechanisms of tactile imagery remain underexplored compared to motor imagery. This study employs multichannel functional near-infrared spectroscopy (fNIRS) combined with image reconstruction techniques to investigate the neural hemodynamics associated with tactile (TI) and motor imagery (MI). In a study of 15 healthy participants, we found that MI elicited significantly greater hemodynamic responses (HRs) in the precentral area compared to TI, suggesting the involvement of different cortical areas involved in two different types of sensorimotor mental imagery.
View Article and Find Full Text PDFError-related potentials (ErrPs) have attracted attention in part because of their practical potential for building brain-computer interface (BCI) paradigms. BCIs, facilitating direct communication between the brain and machines, hold great promise for brain-AI interaction. Therefore, a comprehensive understanding of ErrPs is crucial to ensure reliable BCI outcomes.
View Article and Find Full Text PDFTactile Imagery (TI) remains a fairly understudied phenomenon despite growing attention to this topic in recent years. Here, we investigated the effects of TI on corticospinal excitability by measuring motor evoked potentials (MEPs) induced by single-pulse transcranial magnetic stimulation (TMS). The effects of TI were compared with those of tactile stimulation (TS) and kinesthetic motor imagery (kMI).
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