Chemical Exchange Saturation Transfer (CEST) affords metabolic imaging at high spatial resolution, especially at ultrahigh fields. However, when spectral overlap exists downfield, metabolite maps may be contaminated by other unwanted signals. Here, we present a methodology termed overlap-resolved-CEST (orCEST), which, through subtraction in CESTasym spectra, provides enhanced specificity. We demonstrate how this technique can be used to resolve the signals of Glutamate and GABA – the Central Nervous System’s primary neurotransmitters in vivo.
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