| Previous studies have suggested a low frequency(0.05 Hz) fluctuation in reaction time of sustained attention. Conventional task design for functional magnetic resonance imaging(fMRI) studies is not appropriate for frequency analysis because the block is usually very short(about 30s) and the stimulus onset time is irregular. Dong and colleagues proposed a new paradigm called real-time finger force feedback(RT-FFF), to study the brain mechanisms of sustained attention and real-time feedback. Subjects should keep sustained attention and the data acquisition is continuous. Therefore, the behavioral data of this paradigm can be used for the frequency analysis of the attentional processes.Currently, using this paradigm to study brain mechanisms of sustained attention is still immature. Brain areas involved in this paradigm and the stability of the results should be verified. In addition, in the work of Dong and colleagues, the feedback device used air conduction. It was easy to lead to air leakage and the defect may influence the reliability of results. So we repeated the study using electrical conduction feedback device to verify the brain mechanism of sustained attention during real-time feedback.We analyzed 32 data of healthy subjects(mean age 22.5±2.586,16 male). Every participant performed real-feeedback and sham-feedback task after resting state. We applied the method of ALFF to study the brain activity and made comparison of our results and Dong’s.The results showed that our results were basically consistent with that of Dong’s, which verified that a distributed network including visual, motor, attentional and default mode network may be involved in sustained attention and/or real-time feedback. These results provide guidance for the study of brain mechanism of continuous real-time feedback and prompt this paradigm may be helpful for future studies on attentional deficit, e.g., attention deficit hyperactivity disorder. |
PDF Full Text Request