OHBM Neurosalience S3E4:In Vivo Direct Imaging of Neuronal Activity with MRI - DIANA

This week on #Neurosalience, we discuss an exciting new paper published in Science on October 14, 2022 that caused quite a stir, titled: In vivo direct imaging of neuronal activity at high temporospatial resolution. In this paper, they show clear maps and time courses of directly measured neuronal activity as it occurs, at 5 milliseconds resolution. This interview is with professor Jang-Yeon Park who is the senior author and advisor to graduate student and first author Phan Tan Toi both at SKKU in South Korea.

In their beautiful paper, they demonstrate a series of stunning experiments that provide exciting new and compelling evidence that the information in fMRI still offers surprises to those who look carefully. This method promises to move neuroscience and neuroimaging forward and in new directions. In this episode, we delve into many of the experimental details, findings, potential caveats, the contrast mechanisms, and possible future directions of this method for more deeply and precisely probing the minds of animal models as well as humans.

Guests:

Jang-Yeon Park, Ph.D is an Associate Professor at Sungkyunkwan University. He received his Ph.D in 2006 from the University of Minnesota. After a post-doc and position as a research assistant professor at the Center for Magnetic Resonance Research at the University of Minnesota, he became assistant professor at Konkuk university in South Korea. In 2014 he started his current position as Associate Professor at SKKU.

Phan Tan Toi received his Masters in Advanced Materials Science and Engineering from Sungkyunkwan University in 2018 and Bachelors in Engineering Physics and Biomedical Engineering from Ho Chi Minh City University of Technology in 2015.

Episode producers:

Omer Faruk Gulban

Jeff Mentch

Brain Art

Artist: Pilou Bazin

Title: Accidental brain lion

Please send any feedback, guest suggestions, or ideas to ohbm.comcom@gmail.com

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OHBM Neurosalience S3E2: Multi-echo EPI: An under-utilised tool for fMRI