MEG Detects Abnormal Cerebral-Cerebellar Functional Connectivity During Processing of Spoken Sentences in Autism Spectrum Disorder
The work was conducted by the Martinos Center’s Tal Kenet, PhD, and colleagues.
Earlier Detection of Alzheimer’s Could Help Reduce Its Most Devastating Effects
Heidi Jacobs, PhD, is a leader in Alzheimer’s disease research whose personal experience with the disease strengthens her passion for finding a cure.
Emerging CT Technology to Advance Clinical Care at MGB
Mass General Brigham is leading the way in clinical implementation of the imaging technology photon-counting computer tomography (PCCT), which offers significantly improved spatial, contrast and sometimes temporal resolution with respect to conventional CT systems.
Curbing Healthcare’s Contributions to Climate Change
Mass General researchers have outlined ways in which radiology departments can work to reduce their contribution to climate change.
Study Identifies Signs of Repeated Blast-Related Brain Injury in Active-Duty United States Special Operations Forces
In a study of 30 active-duty United States SOF personnel, a team led by Martinos Center affiliated faculty member Brian Edlow, MD, found that increased blast exposure was associated with structural, functional, and neuroimmune changes to the brain and a decline in health-related quality of life.
Mass General Workshop Emphasizes Patient Radiation Protection
The hospital recently hosted a 5-day workshop on patient radiation protection in partnership with the International Atomic Energy Agency (IAEA).
Uncovering the Relationship between Loneliness and Poor Health Outcomes
Mass General researchers Daphne Holt, MD, PhD, Faye McKenna, PhD, and colleagues have identified a potential marker of loneliness, which could help understand the effects of loneliness on the body and even how to reverse them.
Non-sedation Practices for Pediatric MRI Deserve Wider Adoption, Standardization
Michael S. Gee, MD, PhD, Camilo Jaimes, MD, and colleagues found in an international survey that use of non-sedation practices is nearly universal but the techniques employed varied widely and had different success rates.
The Evolving Role of Quantitative Ultrasound for Fatty Liver Disease
Mass General researchers say that advances in ultrasound hardware, signal processing and more have led to exciting new quantitative tools that promise to increase the reliability of diagnosing hepatic steatosis.
Deep Learning Model for Predicting Breast Cancer in Women at High Risk
The model is more likely than traditional breast cancer risk models to identify women who will benefit from supplemental screening with breast MRI.