New MRI Approach Maps Brain Metabolism, Revealing Disease Signatures

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New technology combining high-speed MRI with machine learning methods for data processing found metabolic changes in oligodendroglioma brain tumors. Clinical MRI, in the left two columns, could not distinguish between tumors of grade II, top, and grade III, bottom. However, the new technique found elevated levels of choline and lactate in the grade III tumor. Image courtesy of Yibo Zhao
New technology combining high-speed MRI with machine-learning methods for data processing found metabolic changes in oligodendroglioma brain tumors. Clinical MRI, in the left two columns, could not distinguish between tumors of grade II, top, and grade III, bottom. However, the new technique found elevated levels of choline and lactate in the grade III tumor (image courtesy of Yibo Zhao).

August 13, 2025 | Originally published by University of Illinois Urbana-Champaign on June 23, 2025

CHAMPAIGN, Ill. — A new technology that uses clinical MRI machines to image metabolic activity in the brain could give researchers and clinicians unique insight into brain function and disease, researchers at the University of Illinois Urbana-Champaign report. The noninvasive, high-resolution metabolic imaging of the whole brain revealed differences in metabolic activity and neurotransmitter levels among brain regions; found metabolic alterations in brain tumors; and mapped and characterized multiple sclerosis lesions — with patients only spending minutes in an MRI scanner.

Led by Zhi-Pei Liang, a professor of electrical and computer engineering and a member of the Beckman Institute for Advanced Science and Technology at the University of Illinois, the team reported its findings in the journal Nature Biomedical Engineering.

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