Yale Researchers Propose a New Model for Neuroimaging Studies
For decades, two of the most precise imaging methods used to study the human brain, functional magnetic resonance imaging (fMRI) and Positron Emission Tomography (PET), have identified localized brain responses to sensory stimulation, such as touch, vision and smell.
How neurofeedback helps patients tamp down their fears
Tiny parts of the brain, School of Medicine researchers are discovering, can have a huge impact on our lives. Michelle Hampson, Ph.D., and Judson A. Brewer, M.D., Ph.D., are leading teams that use real-time fMRI and what’s known as neurofeedback to try to teach people how to control brain activity and combat such problems as anxiety, addiction, Tourette syndrome, and post-traumatic stress disorder (PTSD), as well as more mundane self-imposed roadblocks to success.
Levels of key brain chemicals predict children’s reading ability
Reading-impaired young children have higher levels of the metabolites glutamate and choline in their brains, and these higher levels continue to be indicative of difficulties in developing typical reading and language skills, a Yale study has found. The study appears in the Journal of Neuroscience.
The Yale Vascular Malformations Program (VaMP) identifies a culprit gene mutation implicated in the pathogenesis of "hepatic hemangiomas".
The Yale New Haven Hospital Vascular Malformations Program (VaMP), via a collaborative multidisciplinary effort, has identified somatic mosaic gene mutations (GJA4 encoding connexin 37) implicated in the pathogenesis of so-called “HEPATIC HEMANGIOMAS” in adult patients. This discovery questions the validity of the very term “hemangioma” in this particular anatomic distribution; and renders – for the first time - objective scientific support to the radiographically and clinically suspected notion that these lesions actually represent VENOUS MALFORMATIOMS - an entity with a completely different natural history, hemodynamics, angioarchitectural profile, and ergo therapeutic susceptibility.Source: Cutaneous and hepatic vascular lesions due to a recurrent somatic GJA4 mutation reveal a pathway for vascular malformation
Yale Faculty Pioneer Development and Testing of Portable MRI Device
Yale researchers have agreed to develop, deploy, and test a new portable MRI scanner, a device its developer hopes will cost a fraction of that of traditional MRIs and make the new imaging technology available in clinics in the U.S. and around the world.
Yale Radiology and Psychiatry Researchers Join with Penn Medicine to Create a New Center to Study Opioid Use Disorders
Opioid use disorder has reached epidemic levels in the United States. Over the last two decades, opioid-related overdose deaths increased by more than 50 percent, with nearly 50,000 in 2018, according to the Centers for Disease Control and Prevention. Researchers from Yale School of Medicine (YSM) and Penn Medicine, which comprises the Perelman School of Medicine at the University of Pennsylvania, have created a new center that focuses on neuroimaging to improve our understanding of opioid use disorders and find new treatments.
Study Reaches Multidisciplinary Consensus on Imaging for Kidney Stones
A multidisciplinary group of researchers conducted a systematic review of the scientific literature and engaged in a structured consensus process to determine scenarios where CT scans could be avoided in the diagnosis of renal colic.
Point-of-care Ultrasound's Global Potential
Yale School of Medicine (YSM) faculty, residents, and students are engaged with point-of-care ultrasound (POCUS) initiatives far from the Yale campus, such as in Chile, the Dominican Republic, Rwanda, and Uganda. With its portability and immediacy, POCUS is a powerful diagnostic tool, which also can enhance medical education, both on campus, and worldwide.
Journal Ranked Second in Radiology, Nuclear Medicine and Medical Imaging
Medical Image Analysis, co-founded in 1996 by James Duncan, PhD, the Ebenezer K. Hunt Professor of Biomedical Engineering and Radiology & Biomedical Imaging, is the second-ranked journal in radiology, nuclear medicine and medical imaging, with an Impact Factor of 8.8, according to the Journal Citation Report.
Jason Cai, PhD, Awarded NIH Grant for PET Ligand Development
Zhengxin (Jason) Cai, PhD, Assistant Professor, Yale University PET Center, has been awarded an Exploratory/Development R21 grant from the National Institutes of Health (NIH). Dr. Cai’s research project titled, "Development of BBB Permeable PD-L1 PET Imaging Agents,” will involve synthesis and radiolabeling a library of small molecule PD-L1 ligands as potential PET imaging probes, aiming to find one probe that could penetrate the blood-brain barrier (BBB) and allow for the quantification of PD-L1 in brain tumor or metastasis.
Songye Li, PhD receives first-place prize in Basic Science at SNMMI 2019 and wins Young Investigator Award
Dr. Songye Li’s abstract, entitled, “First-in-human Evaluation of 18F-SDM-8, A Novel Radiotracer for PET Imaging of Synaptic Vesicle Glycoprotein 2A,” was awarded the first-place prize in Basic Science by the Society of Nuclear Medicine and Molecular Imaging (SNMMI) Early Career Professionals Committee at the SNMMI annual meeting in Anaheim, CA, June 2019. In the same conference, Dr. Li’s presentation on the above abstract won a Young Investigator Award from the Brain Imaging Council.
PET research studies featured in Journal of Nuclear Medicine: Gallezot and Nabulsi, first authors
The Journal of Nuclear Medicine Front Cover (August 1, 2019) features PET research in radiotracer evaluation of 11C-AS2471907 in the human brain conducted by Jean-Dominique Gallezot, PhD and colleagues at the Yale PET Center. Also featured is a translational research study in radiotracer evaluation of 11C-LSN3172176 conducted by Nabeel Nabulsi, PhD, and Yale PET colleagues.
Artificial Intelligence: A Promising New Tool for Treating Liver Cancer
“We look to the clinicians to give us the appropriate clinical questions, then we try to develop algorithms that would address those issues.” Yale biomedical engineer Lawrence Staib, PhD, on using artificial intelligence to help with liver cancer treatment.