A new study compared two advanced imaging methods, dMRI-based tractography and PS-OCT, to map nerve fiber orientations in the human brainstem. The findings suggest that combining these techniques could enhance our understanding of brain microstructure, which may lead to early detection of neurodegenerative diseases.

A new study explores how the brain responds to various forms of love, from parental to romantic, using advanced imaging techniques. Researchers found that love for one’s children generates the most intense brain activity, especially in the reward system.

Advanced MRI scans, particularly diffusion tensor imaging (DTI), have shown promise in predicting which concussion patients are at risk for long-term symptoms. While standard CT scans often fail to detect brain abnormalities in concussion cases, DTI can identify subtle changes in the brain’s white matter that are linked to persistent symptoms. This method could significantly improve the accuracy of prognoses, helping to identify patients who may need further follow-up and treatment. Researchers also found that specific blood biomarkers could help determine which patients would benefit most from a DTI scan.

A novel study finds that specialized MRI scans can detect early brain changes that indicate a higher risk for Alzheimer’s disease (AD) before significant cognitive decline occurs. Researchers discovered that cortical microstructural changes in the brain closely resemble patterns seen in AD pathology.

Researchers investigated the neural basis of blushing using MRI scans and cheek temperature measurements. The study found that blushing activates the cerebellum and early visual areas, but not regions linked to understanding mental states. This suggests blushing may be an automatic emotional response rather than a cognitive one. The findings could help address social anxiety related to blushing.

Researchers have developed "OpenNeuro Average" (onavg), a new cortical surface template that improves the accuracy and efficiency of neuroimaging data analysis. This template is based on 1,031 brains, providing a more uniform and less biased map compared to previous models.