Electroencephalography (EEG) and eye tracking are two fields that have evolved independently to study topics such as mental workload, attention and fatigue in cognitive neuroscience. However, little research has been devoted to integrating data from these two fields. In this paper, we investigate the utility of a specific type of eye movement, microsaccades, to analyze cognitive activity. We assess mental workload using event related potentials (ERPs) correlated with microsaccades during experiments where task complexity is designed to be greater with an increase in visual degradation. We also develop a modified eye movement algorithm to identify microsaccades during tasks that permit regular saccades and blinks. We compare ERPs at microsaccade onset locked epochs to those of stimulus onset locked epochs. Our results show a clear correlation of ERP activations to both latency and activation areas. These findings provide important insights for analyzing sophisticated tasks in a non-invasive fashion.