MRI (magnetic resonance imaging) is the most commonly used research-based brain imaging modality as it provides accurate neuroanatomical details regarding brain structure, which can additionally be used to quantitate the volume of specific brain areas when advanced methods enabling brain morphometry are applied. Such morphometric methods may be manual, semi-automated or fully automated into a data analysis pipeline (e.g., FreeSurfer). Alternative MR-based neuroimaging methods include functional MRI (fMRI) and MR Spectroscopy (MRS), which can provide information regarding functional and metabolic aspects of particular brain regions of interest, respectively. Diffusion Tensor Imaging (DTI) is becoming an increasingly used imaging modality to study white matter structure and integrity. ADC (Apparent Diffusion Coefficient) and the FA (Fractional Anisotropy) are two important variables derived from DTI data sets, which show region-specific patterns accompanying normal brain maturation, and specific patterns of variation underlying particular brain pathologies, thus providing important information of changes occurring within the white matter of the brain. To date the application of MRS has been primarily limited to proton spectroscopy, which can resolve only a handful of molecules of sufficient abundance in
