by Laurie Fickman, University of Houston edited by Gaby Clark, reviewed by Robert Egan Editors’ notes The GIST Add as preferred source At left, illustration of a cuff electrode on the vagus nerve inside a body. At right are the designs of three different electrodes. Credit: University of Houston A University of Houston engineering professor is warning that […]
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by Sant Pau Research Institute edited by Sadie Harley, reviewed by Robert Egan Editors’ notes The GIST Add as preferred source Imaging changes at 12 months and data-driven MRI-signatures. Credit: The Journal of Prevention of Alzheimer’s Disease (2026). DOI: 10.1016/j.tjpad.2026.100486 An international study led by researchers from the Sant Pau Research Institute (IR Sant Pau) shows that advanced use of
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by Mass General Brigham edited by Stephanie Baum, reviewed by Robert Egan Editors’ notes The GIST Add as preferred source BrainIAC is a generalizable foundation model for neuroimaging that supports diverse downstream clinical tasks, from molecular subtype prediction to brain aging and survival estimation, by enabling efficient adaptation across a wide range of applications. Credit: Divyanshu Tak, Mass
by Boston College edited by Sadie Harley, reviewed by Robert Egan Editors’ notes For three decades, functional magnetic resonance imaging (fMRI) has been shaping our understanding of the human brain. A major obstacle for fMRI research is that information about brain responses is mixed with “noise”: distortions in the measurements caused by head movements of the participants, heart
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NOVEMBER 25TH, 2025POSTED BY MARCY DELUNA-RICE (Credit: Getty Images) SHARE THIS ARTICLE Facebook Twitter Reddit Email You are free to share this article under the Attribution 4.0 International license. TAGS IMAGING TECHNOLOGY MRI UNIVERSITY RICE UNIVERSITY Sharper MRI scans may be on the horizon thanks to a new physics-based model. Researchers at Rice University and Oak Ridge
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Peer-Reviewed Publication Radiological Society of North America A special MRI technique that detects iron levels in different regions of the brain can predict the onset of mild cognitive impairment and cognitive decline in cognitively unimpaired older adults, potentially creating a pathway to earlier interventions, according to a study published today in Radiology, a journal of the
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