A characteristic of Parkinson's disease is neuronal loss in substantia nigra pars compacta (SNpc).In healthy subjects, SNpc contains a dense distribution of neuromelanin containing dopaminergic neurons and significant degeneration in SNpc has occurred at the time Parkinsonian symptom onset. Furthermore, extensive evidence suggests that iron deposition is related to neuronal loss and reduction of neuromelanin in SNpc. In this abstract, we examine the reproducibility of iron deposition in SNpc.
It is well established that Parkinson’s disease (PD) causes degeneration of the substantia nigra (SN). SN is a paired midbrain structure located near the red nucleus and is comprised of substantia nigra pars reticulata (SNr) and the substantia nigra pars compacta (SNpc). In healthy subjects, SNpc contains a dense distribution of neuromelanin containing dopaminergic neurons and at the time of Parkinsonian symptom onset, up to 50% of melaninzed neurons in SNpc have been lost1. Furthermore, extensive evidence suggests that iron deposition is related to neuronal loss and reduction of neuromelanin in SNpc2.
MRI techniques sensitive to iron have been used to measure iron deposition after onset of PD. However, a recent study found the SN as seen in T2/T2*-weighted contrasts to be spatially incongruent when compared to the SN seen in magnetization transfer (or neuromelanin-sensitive) images3. Thus, prior attempts4-7 to estimate iron deposition associated with PD may not have been placed in SN regions most sensitive to PD since neuromelanin containing neurons in SN are localized to SNpc and studies have co-localized neuromelanin sensitive signal from magnetization transfer effects with melanized neurons8,9. Here, we use neuromelanin sensitive contrast to localize SNpc and examine the reproducibility of SNpc iron deposition in two cohorts.
Two cohorts, one at Emory University Hospital (EUH) and one at Ruijin Hospital (RH), were scanned in this study. The EUH cohort consisted of 59 subjects and the RH cohort consisted of 91 subjects. All subjects gave written, informed consent. Demographic data for both cohorts is summarized in Table 1.
Data for the EUH cohort were acquired on a 3 T MRI scanner (Prisma Fit, Siemens Medical Solutions, Malvern, PA) using a 64-channel receive only coil. Images from a MP-RAGE sequence (echo time (TE)/repetition time (TR)/inversion time=3.02/2600/800 ms, flip angle (FA)=8°, voxel size=1.0×1.0×1.0 mm3) were used for registration from subject space to common space. T2*-weighted data were collected with an eight echo 3D gradient recalled echo (GRE) sequence: TE1/$$$\Delta$$$TE/TR = 4.92/4.92/50 ms, FOV = 212 × 212 mm2, matrix size of 448×336×80, slice thickness=1mm, acceleration factor=2.
Data at RH were acquired on a 3 T MRI scanner (Signa HDxT, GE Medical Systems, Milwaukee, WI) using an 8 channel receive only coil. T1-weighted structural images were acquired with the following parameters: TR/TE=5.52ms/1.724ms, acquisition slices=196, matrix=256×256, FOV=256mm, flip angle=12°, slice thickness=1mm. T2*-weighted data were collected with a sixteen echo GRE 3D sequence: TE1/$$$\Delta$$$TE/TR=59.1/2.9/59.3ms, FA=12°, FOV=220×220mm2, matrix size=256×256, slice thickness=1mm, acceleration factor=2.
R2* values were estimated in MATLAB by fitting a monoexponential model
$$S = S_{0} e^{-R_{2} ^{*}TE}$$
where $$$S_{0}$$$ denotes a fitting constant. Standard space SNpc regions of interest
(ROIs) were transformed from standard space to subject space using FSL. This is
schematically illustrated in Figure 1.
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