Previous reports have shown that resting concentrations of gamma-amino butyric acid (GABA) will predict resting state Functional Connectivity (rsFC) measures as well as amplitude of task activation. The goal of this study is to model how the neurochemical profile interplays with the connectivity underlying the decoding and fluency components of the reading circuit. Our model is in support of recent task-based fMRI observations, but goes beyond by interrogating the underlying networks that support the behavior, and combining that information with the neurochemistry that characterize the trait. These preliminary results of combining MRS and rsFC with neuropsychological measures are promising, and will help identify the underlying dysfunction in struggling adult readers’ brain circuitry.
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