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This week on #Neurosalience we have two guests, Dr. Natalie Voets and Dr. Andreas Bartsch, who have both been working together to advance the use of fMRI as a complementary yet promising and important technique for guiding neurosurgery. Along with clinical researchers around the world, they have been writing a massive white paper for the OHBM Best Practices Committee on the presurgical mapping of language function. They were also both co-authors on a clear and comprehensive 2022 paper published in the British Journal of Neurosurgery, titled: \\u201cFunctional MRI applications for intra-axial brain tumors: uses and nuances in surgical practice\\u201d\\xa0

Here we have an in-depth discussion of the state of the art of fMRI as it\\u2019s used in the context of Neurosurgery. While fMRI is becoming a more commonly used tool for helping inform surgeons of brain tissue to be avoided during surgery, standards and best practices are still being worked out as the technique itself has so many stages including acquisition, brain activation paradigm design, processing, and finally interpretation. Natalie and Andreas are not only trained in neuroimaging, but very much in the weeds of daily surgical practice, so have extremely useful insights on all aspects of how fMRI can be and should be used for pre-surgical mapping.

Dr. Bartsch is currently with Radiologie Bramber, and affiliated with the University of Heidelberg. He\\u2019s an MD/PhD Radiologist and Neuroradiologist who studied at Charite Hospital at the University of Berlin, Tufts University in Boston, as well as at the University of Oxford.\\xa0

Dr. Voets is an Associate Professor at the Nuffield Department of Clinical Neuroscience at the University of Oxford and a Special Advisor in Neuroimaging at Genesis Cancer Care. She is also an Intraoperative Awake Neurosurgery Technician at Oxford University Hospitals NHS Foundation Trust.

Episode producers:

Omer Faruk Gulban

Jeff Mentch

Brain Art

Artist: Kai Kiwitz

Title: Mapping the Human Connectome

Description: Mapping the human connectome requires workflows that can deal with ever-increasing amounts of data. Here, the cellular architecture of the human cortex has been analyzed by a deep-learning based approach on a cell-body stained brain section. Visualizing what the approach has learned about the cellular architecture results in stunning images that illustrate the beauty of the human connectome.