Neuroimaging – News and Features

A study found that individuals with depression have a brain network, the frontostriatal salience network, nearly twice as large as those without depression. This enlargement is stable over time and could serve as a biomarker for early diagnosis.

University of Waterloo researchers have used 3D imaging technology to understand the fine details of microplastics, paving the way for more effective methods of plastic waste recycling.

A new study has revealed that mindfulness meditation engages distinct brain mechanisms to reduce pain.

A new blood biomarker – potassium isotopes – offers a unique and promising avenue for diagnosing Alzheimer's disease earlier.

Researchers discovered that eye movements significantly affect how individuals perceive a film. Their study shows that while watching the same movie, each person’s brain creates a unique representation based on their eye movements.

A study shows psilocybin and SSRIs affect brain dynamics differently in treating depression. Psilocybin induces a "flattening" of hierarchical brain structures, while SSRIs enhance hierarchical reorganization.

A newly developed system reveals brain structure patterns that predict variations in certain regions of the individual’s genetic code, which are linked to autism.

A recent brain imaging study shows that both diabetes and prediabetes can be linked to accelerated brain aging. However, these associations were attenuated among people with high physical activity and who abstained from smoking and heavy alcohol consumption.

Boston University researchers developed an AI tool that accurately diagnoses 10 types of dementia, improving diagnosis accuracy by 26%. Using routine clinical data and MRI scans, the tool aids doctors in identifying dementia causes early.

Researchers have developed an artificial intelligence that can differentiate cancer cells from normal cells, as well as detect the very early stages of viral infection inside cells.