Neuroimaging – News and Features

New research has shown that our perception of what others do depends on what we expect to happen more so than previously thought.

An international team of researchers has developed a handheld, non-invasive device that can detect biomarkers for Alzheimer’s and Parkinson’s Diseases.

A model based on artificial intelligence is able to predict the therapy outcome in 80% of ovarian cancer patients. The tool, named IRON (Integrated Radiogenomics for Ovarian Neoadjuvant therapy), analyzes various patient clinical features.

According to a recent study those who were stronger, faster and more agile, in other words, had better neuromuscular fitness since childhood, had larger Crus I grey matter volume in adolescence.

A simple blood test that detects IgG antibody aggregates, a biomarker for multiple sclerosis, with 90% accuracy could enhance MS diagnostics.

The EPI-CT study, which involved almost one million people, confirms that CT imaging, although largely beneficial, entails a small risk that needs to be minimised as much as possible.

Researchers present a novel experimental system for simultaneous measurement of dynamic mechanical properties and X-ray computed tomography.

NIH study suggests the brain’s “salience network” is important for understanding substance use disorder, could be a future therapeutic target.

Neuroimaging in an adept meditator revealed rich patterns of brain activity in specific cortical, subcortical, brainstem, and cerebellar regions associated with an advanced practice of meditation called jhana.

Researchers shows why only a subset of individuals exposed to trauma develop posttraumatic stress disorder (PTSD). The research, centered on the body's stress hormone response, could pave the way for more targeted treatments for PTSD.