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Abstract #1820

Improved GABA editing at 3T with real-time motion correction, shim update and reacquisition of MEGA-LASER

Ovidiu Cristian Andronesi 1 , Wolfgang Bogner 2 , Aaron Hess 3 , Dylan M. Tisdall 1 , Paul Wighton 1 , Himanshu Bhat 4 , Dinesh Deelchand 5 , Malgorzata Marjanska 5 , Andre van der Kouwe 1 , and Bruce R. Rosen 1

1 Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 2 MR Center of Excellence, Department of Radiology, Medical University Vienna, Vienna, Vienna, Austria, 3 Centre for Clinical Magnetic Resonance, John Radcliffe Hospital, University of Oxford, Oxford, Oxford, United Kingdom, 4 Siemens Healthcare USA, Boston, MA, United States, 5 Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States

The mechanisms by which GABA modulates brain activity have become a major topic in neuroscience and neuropsychiatric research. MR spectroscopy (MRS) provides the only non-invasive way to measure GABA levels in-vivo, but its low levels and spectral overlap with abundant brain metabolites make this task challenging. In particular, J-difference MRS provides the highest retained signal for in-vivo GABA editing. However, difference methods are susceptible to subtraction artifacts caused by subject movement and scanner drifts. Low concentration of GABA requires long measurement times, and makes its editing especially prone to this types of artifacts. Here, we show that real-time motion correction combined with dynamic shim update and reacquisition can eliminate artifacts and preserve the GABA signal. In particular, the addition of reacquisition into the correction algorithm is newly demonstrated here for GABA editing with an optimized adiabatic MEGA-LASER sequence.

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