MR spectroscopic imaging at 3 T and outcomes in surgical epilepsy

For the spectroscopic assessment of brain disorders that require large-volume coverage, the requirements of RF performance and field homogeneity are high. For epilepsy, this is also challenging given the inter-patient variation in location, severity and subtlety of anatomical identification and its tendency to involve the temporal region. We apply a targeted method to examine the utility of large-volume MR spectroscopic imaging (MRSI) in surgical epilepsy patients, implementing a two-step acquisition, comprised of a 3D acquisition to cover the fronto-parietal regions, and a contiguous parallel two-slice Hadamard-encoded acquisition to cover the temporal-occipital region, both with T-R/T-E = 2000/40 ms and matched acquisition times. With restricted (static, first/second-order) B-0 shimming in their respective regions, the Cramer-Rao lower bounds for creatine from the temporal lobe two-slice Hadamard and frontal-parietal 3D acquisition are 8.1 +/- 2.2% and 6.3 +/- 1.9% respectively. The datasets are combined to provide a total 60 mm axial coverage over the frontal, parietal and superior temporal to middle temporal-occipital regions. We applied these acquisitions at a nominal 400 mm(3) voxel resolution in n = 27 pre-surgical epilepsy patients and n = 20 controls. In controls, 86.6 +/- 3.2% voxels with at least 50% tissue (white + gray matter, excluding CSF) survived spectral quality inclusion criteria. Since all patients were clinically followed for at least 1 year after surgery, seizure frequency outcome was available for all. The MRSI measurements of the total fractional metabolic dysfunction (characterized by the Cr/NAA metric) in FreeSurfer MRI gray matter segmented regions, in the patients compared with the controls, exhibited a significant Spearman correlation with post-surgical outcome. This finding suggests that a larger burden of metabolic dysfunction is seen in patients with poorer post-surgical seizure control.

Automated summary

In the spectroscopic assessment of brain disorders, especially in epilepsy, where variation in anatomical identification poses challenges, a targeted method using large-volume MR spectroscopic imaging (MRSI) is applied. By combining 3D and two-slice Hadamard-encoded acquisitions with tailored shimming, metabolic dysfunction in epilepsy patients can be accurately evaluated, showing correlation with post-surgical seizure control outcome.