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Movies and Narratives as Naturalistic Stimuli in Neuroimaging
Uncovering ‘Covert Consciousness’ in Brain Injury Patients
In a paper published in the journal Brain last month Brian Edlow and colleagues reported a study in which they used the imaging techniques functional MRI and EEG to detect ‘covert consciousness’ in the intensive care unit. We checked in with Edlow, associate director of the Center for Neurotechno...
PET/MRI Superior to MRI Alone for Staging of Rectal Cancer
Third Somatomotor Map Distinguished in Human Cerebellum
Magnetic Particle Imaging May Allow Intraoperative Breast Tumor Margin Assessment
PET/MRI Reproducibly Discriminates between Individuals with and without Chronic Low Back Pain
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 Bridge and colleagues have created a fully automated deep learning system to quantify and characterize muscle and adipose tissue on CT scans.
A New Optical Imaging Tool to Visualize Disease Through ‘Multiplexing’
A team of investigators at the MGH Martinos Center for Biomedical Imaging has developed a tool that will allow researchers to measure multiple biological components or processes at the same time, opening up a host of applications, especially related to the study of disease. They describe the tool...
Solving Technical Problems in Fetal MRI
Hemostatic Factors Have Potential as Biomarkers and Therapeutic Targets in MS
Fast fMRI Detects Specific Cascade of Thalamic Activity at Transitions in Behavioral Arousal State
MRI Findings Support Gradient of Spinal Cord Demyelination in Multiple Sclerosis
Treating Aneurysm with MR Coagulation
A team of investigators in the MGH Martinos Center for Biomedical Imaging, in collaboration with medical device company Robin Medical, has developed a new method that could help to address cerebral aneurysm while adding therapeutic capabilities to magnetic resonance imaging. Cerebral aneurysm,...
Deep Learning Algorithm Can Measure Disease Severity and Change on a Continuous Spectrum
Clinicians often use imaging to evaluate both the severity and progression of disease, in many cases by assigning severity to one of several categories based on the imaging findings and seeing whether and how the classification changes on follow-up. This approach can have its limits, though. B...
Early Screening of ASD With a New Eye-tracking Paradigm
Studies have shown that early diagnosis and intervention significantly impact the prognosis of individuals with autism spectrum disorder (ASD): the earlier the detection and diagnosis, the better the prognosis and functional status later in life. Currently, the average age of diagnosis is approxi...
FlexNIRS: An Open-Source, Low-Cost, Wearable Cerebral Oximeter
Novel PET Radiotracer Offers Possible ‘Smell Test’ for Dementia
Olfactory health – how well we are able to smell – is a reliable marker of the health of the brain, but the “smell identification tests” commonly used in studies of olfactory health do not offer a complete picture of what is happening. Now, using a novel PET radiotracer called Neuroflux, a team o...
Advances in MRI Technologies for Chronic Liver Diseases
Iris Y. Zhou, Onofrio A. Catalano and Peter Caravan review a host of functional and molecular MRI techniques.