Water is a common internal reference for metabolite quantification by 1H-MRS. We investigate potential influences on water-referenced metabolite quantification by differences in frontal cortex water T2 in individuals with relapsing-remitting, progressive, and no multiple sclerosis. Water T2 differed in monoexponential models, exhibiting highest values in progressive multiple sclerosis only when analyses were not age-controlled. Groupwise T2 did not differ in biexponential models constrained by tissue and CSF partial volumes, suggesting that monoexponential T2 differences reflected disparate proportions of water in tissue and CSF rather than differential behavior within them. Our results suggest stability of water T2 within frontal cortex tissue and CSF with multiple sclerosis and emphasize the superiority of metabolite quantification with group-specific T2 values when voxel composition may differ.
Tissue water is a common internal reference for metabolite quantification by in vivo proton magnetic resonance spectroscopy (1H-MRS).1 The usefulness of water as an internal reference depends, however, on the validity of assumptions made about the uniformity of its key properties across individuals, or, alternatively, on detailed knowledge of differences among them. For example, water-to-metabolite signal ratios are commonly corrected without explicit examination of group-specific transverse relaxation time constant T2.2-5 But multiple lines of evidence suggest that this practice may not always, so to speak, hold water. Age6 and brain irradiation,7 for instance, may lengthen cortex water T2 while preserving or reducing cortical N-acetyl aspartate and creatine T2.7,8 Such evidence reinforces the notion that T2 values used in metabolite quantification should empirically consider the populations at hand.
One such population is individuals with multiple sclerosis (MS), an autoimmune disorder that damages the central nervous system. Previously, we reported progressive MS- and age-related decreases in creatine-referenced N-acetyl aspartate and glutamate in frontal cortex.9 Here, to enable accurate water-referenced quantification of these and other metabolites in individuals with relapsing-remitting (RR-MS), progressive (P-MS), and no MS, we assess potential differences in frontal cortex water T2 relaxivity, both in bulk and within tissue- and cerebrospinal fluid (CSF)-specific compartments.
Scan routines coincided with metabolite signal acquisitions previously reported9 in a 7-Tesla MR scanner (Varian Medical Systems, Inc., Palo Alto, CA, USA) on twenty-five (12 female; 43 ± 15 y.o.) controls without multiple sclerosis, twenty-six (18 female; 44 ± 13 y.o.) participants with RR-MS, and twenty-one (12 female; 55 ± 8 y.o.) participants with P-MS. Water T2 from a 27-cc cubic prefrontal cortex voxel shimmed with static third-order spherical harmonics was examined with a STEAM (TM 50 ms, TR 15 s)2 array with one repetition each of 12 interleaved echo times (TE) from 10 to 250 ms (Figure 1). Spectra were phase-corrected10 and real peaks integrated from baseline using INSPECTOR.11 Water T2 was estimated by trust-region-reflective least-squares curve fitting to signal integral values at each TE according to:
$$M_{TE} = M_0e^{\frac{-T_E}{T_2}}$$
where M represents water signal integral.12 To account for disparate proportions of water protons in tissue versus CSF compartments by voxel composition differences, we then applied a biexponential model:
$$M_{TE} = M_0\left(\chi_te^{\frac{-T_E}{T_{2t}}} + \chi_fe^{\frac{-T_E}{T_{2f}}}\right)$$
with tissue (white matter plus grey matter) $$$T_{2t}$$$ and CSF $$$T_{2f}$$$. Variables $$$\chi_t$$$ and $$$\chi_f$$$ represent compartmental water fractions in tissue and CSF, respectively, as:
$$\chi_{t/f} = \frac{PV_{t/f}[H_2O]_{t/f}}{PV_{gm}[H_2O]_{gm} + PV_{wm}[H_2O]_{wm} + PV_{csf}[H_2O]_{csf}}$$
where $$$PV_{gm}$$$, $$$PV_{wm}$$$, and $$$PV_{csf}$$$ are voxel partial volumes of grey matter, white matter, and CSF, respectively, calculated by custom MATLAB software using skull-stripped (FMRIB's Brain Extraction Tool; BET)13 and segmented14 T1-weighted images (Figure 1A). The variables $$$[H_2O]_{gm/wm/csf}$$$ denote published tissue water concentration estimates.3,15
Group differences were assessed in SPSS 20 (IBM, Armonk, NY) with α = 0.05. Age-controlled analyses included only participants over 35 years old.
T2 models yielded visually satisfactory fits in all participants. Four RR-MS cases with outlying CSF T2 were excluded from analysis. Kruskal-Wallis test demonstrated a significant group effect on water T2 (7.772, p = 0.021); Mann-Whitney test demonstrated increases in P-MS relative to control (2.724, p = 0.006) and RR-MS (2.041, p = 0.041) (Figure 2A). Uniform application of control T2 to water signal quantification would overestimate P-MS water concentration by 2% at TE = 10 ms (Figure 2B).
Similar analysis demonstrated a group effect on grey (7.745, p = 0.021) but not white matter partial volumes, with lower grey matter in P-MS relative to control (-2.746, p = 0.006); an effect was also found in CSF (6.266, p = 0.044), higher in P-MS than control (2.327, p = 0.020) (Figure 3).
Groupwise T2 differences disappeared with biexponential modeling (Figure 4) and became marginally significant (0.05 < p < 0.1) upon controlling for age (Figures 2A, 3B, 4B).
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