Real-time neurofeedback (RT-NF) fMRI allows the subjects to regulate their own brain activity by providing them a neurofeedback. Functional ASL is perfectly suited for RT-NF studies due to the absolute quantification of activation related changes in the cerebral blood flow (CBF). In this study we implemented a real-time solution for ASL data processing and feedback generation which includes the following steps: data acquisition, image reconstruction, post-processing and neurofeedback presentation. The results of this RT-NF fASL study show that subjects were able to learn to regulate their own brain activation during a finger tapping experiment.
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