Yale Magnetic Resonance Research Center

The Yale Magnetic Resonance Research Center (MRRC) was founded in 1986 as a result of the recognition that NMR applications, as pioneered by Yale scientists, have enormous potential in biomedical research. The MRRC is now an interdepartmental and interdisciplinary research laboratory that provides state-of-the-art MR equipment, infrastructure, and expertise for the development and application of MRI and MRS methodology in biomedical research. Research is focused on the study of intact biological systems by developing methods for obtaining structural, functional, physiological and biochemical information by MRI, MRS and other techniques. Applications include fMRI for neurosurgery and neuroscience; brain, muscle, and liver energy metabolism; diabetes; adult and juvenile epilepsy; and psychiatric disorders.

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Yale Professors awarded White House BRAIN initiative grant

Two Yale School of Medicine professors have received a federal grant supported by President Obama’s BRAIN InitiativeR. Todd Constable, professor of diagnostic radiology, and Michael C. Crair, professor of neurobiology, will use the nearly $5 million National Institutes of Health award over three years to develop experimental and analytic methods for examining neuronal activity across scales, from the single cell to the whole brain. Read Full Story

The MRRC is pleased to announce the appointment of Dr. Michelle Hampson as the Director of Real-Time fMRI.

Hampson, Michelle

Dr. Hampson has an extensive background in fMRI, connectivity, and behavioral studies and together with Dr. Scheinost and Dr. Papademetris in the MRRC has put together an outstanding fMRI neurofeedback research program that combines clinical research with basic neuroscience.

New Approach to Spatial Encoding in MRI Can Greatly Reduce Scan Time

Constable, Todd

Two researchers at Yale University have developed an approach to dramatically reduce the amount of time it takes to obtain a Magnetic Resonance Image (MRI). The work, by Dr. Todd Constable and Dr. Gigi Galiana, both in Diagnostic Radiology in the School of Medicine, allows a complete image to be obtained in approximately 4ms. This could enable better temporal resolution for cardiac and fMRI applications, and most importantly reduced exam times for standard clinical MRI.