Q&A with Eve Valera on Intimate Partner Violence and Brain Injury
Valera uses imaging and other tools to study traumatic brain injury and other impacts of intimate partner violence.
Third Somatomotor Map Distinguished in Human Cerebellum
The center’s Randy Buckner and colleagues have provided direct support for a third somatomotor map in the vermis of the cerebellum by using intensive, repeated functional MRI scanning of individuals performing movements across multiple body parts.
As an MGH Research Scholar, Brian Edlow Will Pursue Detection of ‘Covert Consciousness’ in the ICU
He will lead a team in optimizing and implementing the technique transcranial magnetic stimulation electroencephalograph (TMS-EEG).
Q&A with Caterina Mainero, Director of the Multiple Sclerosis Imaging Laboratory
Dr. Mainero discusses the lab’s research into the mechanisms of the disease and new approaches to diagnosis and monitoring.
It’s All about Teamwork: The Center’s Shahin Nasr on his breakthrough findings in the visual system
Nasr, director of the Mesovision Laboratory at the center, talks about the discovery and what made it possible.
Hemostatic Factors Have Potential as Biomarkers and Therapeutic Targets in MS
The Center’s Caterina Mainero and colleagues review the interplay of fibrinogen and coagulation factors with neuroinflammation in multiple sclerosis.
Metabolomic Information Highly Useful for Predicting Future Prostate Cancer
A study by the Center’s Leo Cheng and colleagues suggests that metabolomic changes detected with an advanced nuclear magnetic resonance (NMR) spectroscopy technique can differentiate between patients with benign prostate biopsies who will or will not receive a prostate cancer diagnosis over the following years.
Jyrki Ahveninen Receives Mentoring Award
The Jim Thrall, MD Mentoring Award recognizes the mentoring contributions of research as well as clinical faculty in the Mass General Department of Radiology.
How You Can Mend a Broken Heart: Emerging imaging technologies advance cardiovascular care
Recent studies from the Department of Radiology hav sought new ways to help reduce the incidence of a broken heart (and to ensure a healthy cardiovascular system).
Commentary: Sparse Brain Activity Patterns May Underlie Human Cognition
Jyrki Ahveninen and colleagues believe sparse brain activity, where only a few neurons in a population fire at a given time, might contribute to the fingerprint patterns of activity evident in multi-voxel pattern analysis results from functional MRI — and give rise to perceptual, emotional and cognitive functions.
The Martinos Center’s Got Talent!
On Wednesday, January 11, the MGH Martinos Center for Biomedical Imaging will stage its first-ever talent show, aptly titled: “The Martinos Center’s Got Talent!” The event will showcase the many, varied talents of folks from… The Martinos Center’s Got Talent!
Fast fMRI Detects Specific Cascade of Thalamic Activity at Transitions in Behavioral Arousal State
The study was reported in Nature Communications by the Center’s Laura Lewis and colleagues.
FlexNIRS: An Open-Source, Low-Cost, Wearable Cerebral Oximeter
The new device was developed by Optics @ Martinos researchers Kuan-Cheng (Tony) Wu, Marco Renna and Maria Angela Franceschini.
The Clinical Potential of Molecular Imaging of Pulmonary Fibrosis
Peter Caravan PhD and Sydney Montesi MD discuss the potential of molecular imaging of pulmonary fibrosis for managing patients with interstitial lung disease and other clinical applications.
Review: The Role of Histone Deacetylases in Autism Spectrum Disorder
Nicole Zurcher Wimmer, Jacob Hooker and colleagues recently reviewed research on relationships between autism spectrum disorder (ASD) and histone deacetylases (HDACs).
Automated Deep Learning Accurately Assesses Muscle and Fat Tissue on Routine Chest CT
The Center’s Christopher P. Bridge and colleagues have created a fully automated deep learning system to quantify and characterize muscle and adipose tissue on CT scans.
AMA @ Martinos: Jon Polimeni
In advance of his keynote talk at the upcoming OHBM 2022, Jon submitted to an “Ask Me Anything,” with topics ranging from advances in pulse sequences and image reconstruction to how to be a better ally.
AMA @ Martinos: Anastasia Yendiki
In advance of her keynote talk at the upcoming OHBM 2022, Anastasia submitted to an “Ask Me Anything,” with topics ranging from her work with diffusion tractography to dancing flamenco during lockdown.
Machine Learning Model Identified Alzheimer’s Disease-Like Structural Brain Patterns in Younger, Asymptomatic Adults
David H. Salat and colleagues created a machine learning classifier that detected Alzheimer’s disease–like brain patterns in younger adults (40 to 59 years old) and in a cohort with mild cognitive impairment.
Are Pandemic-Related Stressors Impacting Uninfected People’s Brain Health?
The findings could have important implications for a broad number of stress-related disorders, says Marco Loggia, senior author of the new study.