November 23, 2022

Neurosalience #S3E6 with Michal Ramot - Changing your brain with real-time fMRI neurofeedback

1 hour 16 minutes

Real-time neurofeedback fMRI is a unique and powerful kind of fMRI involving real time feedback of brain activity to the subject towards the goal of enhancing or suppressing activity or connectivity, and ultimately changing behavior. Michal’s work has taken real time neurofeedback fMRI to the next level, embracing operant conditioning to alter measured fMRI network activity independent of the subject’s awareness or conscious control. Here Peter and Michal discuss all the types of neurofeedback-based fMRI, focusing mostly on her implicit neurofeedback studies. They discuss the real time fMRI feedback setup as well as the potential applications - for understanding how the brain reprograms itself as well as clinical applications.

Today’s Guest:

Michal Ramot, Ph.D. is a Senior scientist in the Department of Brain Sciences and the Roel C. Buck Career Development Chair at the Weizmann Institute of Science in Rehovot, Isreal. She received her Bachelor of Science in Mathematics from the Hebew University in Jerusalem in 2004. She went on to receive her PhD from Interdisciplinary Centre for Neural Computation working under the guidance of Rafi Malach and Leon Deouell. She carried out a postdoc at the Department of Neurobiology at the Weizmann Institute of Science also under Dr. Malach and then did a second post doc under Dr. Alex Martin in the Laboratory of Brain and Cognition at the National Institute of Mental Health.

Episode producers:

Anastasia Brovkin

Alfie Wearn

Brain Art

Artist: Joseph Salvo

Title: MRI Self Portrait

Author's Description: “I've been inspired by the Woodland art style, that has been called "x-ray art" for its depictions of subject's interiors. I sought to adapt this style for MRI images. The goal is to provide a glimpse of what lies beyond the surface, while maintaining respect for the subject.” Please send any feedback, guest suggestions, or ideas to [email protected]

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