Abstract
The loss of melanized neurons in the substantia nigra pars compacta (SNc) is a hallmark pathology in Parkinson’s disease (PD). Melanized neurons in SNc can be visualized in vivo using magnetization transfer (MT) effects. Nigral volume was extracted in data acquired with a MT-prepared gradient echo sequence in 50 controls, 90 non-manifest carriers (46 LRRK2 and 44 GBA1 nonmanifest carriers), 217 prodromal hyposmic participants, 76 participants with rapid eye movement sleep behavior disorder (RBD), 194 de novo PD patients and 26 moderate PD patients from the Parkinson’s Progressive Markers Initiative. No difference in nigral volume was seen between controls and LRRK2 and GBA1 non-manifest carriers (F = 0.732; P = 0.483). A significant main effect in group was observed between controls, prodromal hyposmic participants, RBD participants, and overt PD patients (F = 9.882; P < 10−3). This study shows that nigral depigmentation can be robustly detected in prodromal and overt PD populations.
Subject terms: Diagnostic markers, Parkinson's disease, Parkinson's disease
Introduction
Parkinson’s disease (PD) is a heterogeneous neurodegenerative disorder with a variety of motor and non-motor symptoms that can be clinically challenging to diagnose and manage, and there are currently no effective interventions to stop PD neurodegeneration. Empirical evidence suggests that PD-related neurodegeneration starts prior to symptom onset1–5 and understanding the magnitude and timing of PD-related neurodegeneration is essential to the development of early-stage diagnostic markers and outcome measures for clinical trials. At risk populations, such as individuals with mutations in the leucine-rich repeat kinase2 (LRRK2) and glucosylceramidase β1 (GBA1) genes6,7, patients with rapid eye movement sleep behavior disorder (RBD)8 or hyposmia with dopamine transporter deficits9, are ideal populations to examine neurodegeneration in the prodromal phase of PD since RBD10,11 and hyposmic12 patients have a high risk of phenoconverting to PD or other synucleinopathies.
Neuromelanin loss in the substantia nigra pars compacta (SNc) is a hallmark pathology of PD5,13,14. The role of SNc in PD pathogenesis has been challenging to study in vivo due to a lack of tools to investigate PD-related nigral neurodegeneration in living patients. Incidental magnetization transfer (MT) effects15 or explicit MT effects generated by MT preparation pulses16–18 can be used to generate neuromelanin-sensitive contrast and delineate melanized structures in vivo. Application of MT effects to image depigmentation has revealed PD-related reductions in MT contrast ratios in SNc15,19–21, nigral volume16,22–27, or the area of SNc in a single slice28,29. Nigral regions of interest (ROI), derived from images with MT effects, have also been used to examine PD-related microstructural changes30,31 or iron deposition32,33 in SNc.
In prodromal populations, much of the work using MRI has focused on developing diagnostic markers in populations with RBD. The application of MT effects has found reduced locus coeruleus contrast34, SNc area35, and SNc volume36 in RBD relative to controls. Genetic mutations have not been found to influence cortical thickness or volume of subcortical gray matter structures in LRRK2 and GBA1 non-manifest carriers (NMC)37, but changes in nigral iron have been observed in LRRK2 and GBA1 NMC38,39. Hyposmic subjects with striatal dopamine transporter (123-I Ioflupane (DaTScan)) deficits have a high risk of phenoconverting40, and these results suggest that SNc may also be undergoing neurodegeneration since DaTScan binding ratio is correlated with nigral volume32. However, the extent of SNc neuronal loss in hyposmic participants is unknown.
Here, nigral volume is examined in two prodromal populations, one consisting of RBD patients and one consisting of hyposmic participants with dopamine transporter deficits, since these populations are highly likely to phenoconvert to PD40,41. Nigral volume is examined in a cohort consisting of controls, hyposmic participants with dopamine transporter deficits, RBD, de novo PD (early PD, levodopa naïve at study enrollment), and moderate PD from the Parkinson’s Progression Markers Initiative (PPMI). Nigral volumes are also examined in LRRK2 and GBA1 NMC.
Results
Sample demographics
A total of 140 participants were used in the analysis of nigral volume in non-manifest LRRK2 (46 participants), non-manifest GBA1 (44 participants), and control (50 participants) groups. No differences in age (F = 1.505; P = 0.226), Montreal Cognitive Assessment (MoCA) (F = 0.805; P = 0.449), Movement Disorders Society Unified Parkinson’s Disease Rating Scale (MDS UPDRS)-III score (F = 1.138; P = 0.324), or education (F = 2.270; P = 0.107) were observed between LRRK2 NMCs, GBA1 NMCs, and the control group without genetic mutations. A significant difference in sex was found between the LRRK2 NMC and the control group (χ2 = 4.112; P = 0.043), with the control group having more males than the LRRK2 NMC group. Demographic information for the non-manifest LRRK2 and GBA1 analysis is summarized in Table 1.
Table 1.
Demographic information for the analysis examining the effect of genetic mutation on nigral volume in non-manifest participants
| CO (N = 50) | Non-manifest carriers | P | ||
|---|---|---|---|---|
| LRRK2 (N = 46) | GBA1 (N = 44) | |||
| Sex [M/F] | [31/19] | [19/27] | [19/25] | >0.043 |
| Age [years] | 62.4 ± 11.9 | 65.3 ± 6.8 | 64.8 ± 6.0 | 0.226 |
| Education [years] | 17.2 ± 3.5 | 17.5 ± 2.3 | 18.4 ± 2.5 | 0.107 |
| MoCA | 27.7 ± 2.0 | 28.0 ± 1.6 | 27.5 ± 2.1 | 0.449 |
| MDS UPDRS-III | 1.7 ± 2.1 | 2.0 ± 2.5 | 2.5 ± 2.4 | 0.324 |
Data are presented as mean ± standard deviation unless noted otherwise. ANOVAs were used for group comparisons of age, education, UPDRS-III, and MoCA from which P values are shown. CO control, MDS UPDRS-III Movement Disorders Society Unified Parkinson’s Disease Rating Scale Part III, MoCA Montreal Cognitive Assessment.
A total of 563 participants were used in the analysis of nigral volume in control (50 participants), hyposmia (217 participants), RBD (76 participants), de novo PD (194 participants), and moderate PD (26 participants) groups. A significant difference in sex was observed between the hyposmic group and the control (χ2 = 10.158; P = 0.001), RBD (χ2 = 32.052; P < 10−3), and de novo PD (χ2 = 26.770; P < 10−3) groups as well as between the RBD group and the moderate PD group (χ2 = 4.985; P = 0.026). Comparisons of sex were not significant between other groups (Ps > 0.058). A significant difference in age (F = 13.065; P < 10−3) was seen between the groups, with the control group being younger, on average, as compared to the RBD (P < 10−3), hyposmia (P < 10−3), and moderate PD (P = 0.001) groups. The RBD (P < 10−3), hyposmia (P < 10−3), and moderate PD (P = 0.002) groups were older, on average, as compared to the de novo PD group. No difference in age was seen between the RBD, hyposmia, or moderate PD groups (Ps > 0.332). A significant difference was found in MoCA (F = 2.006; P = 0.114) with higher MoCA scores seen in the control group relative to the hyposmia (P = 0.011), RBD (P = 0.005), and the moderate PD (P = 0.009) groups. A significant difference was observed in MDS UPDRS-III OFF score (F = 230.820; P < 10−3) with higher MDS UPDRS-III scores seen in the moderate PD group relative to the hyposmia, RBD, de novo PD, and control groups (P < 0.008). Higher MDS UPDRS-III scores were seen in the de novo PD group as compared to the hyposmia, RBD, and control groups (Ps < 10−3). The hyposmia and RBD group exhibited higher MDS UPRDS-III scores relative to the control group (Ps < 0.003). A significant difference was seen in University of Pennsylvania Smell Identification Test (UPSIT) score between the groups (F = 18.736; P < 10−3) with the hyposmic (P < 10−3), RBD (P < 10−3), and de novo PD (P < 10−3) groups showing reduced olfactory function relative to controls. No difference in education (F = 0.077; P = 0.989) was seen between the groups. Demographic information for the control, hyposmia, RBD, de novo PD, and moderate PD groups is summarized in Table 2.
Table 2.
Demographic information for the groups used in the Control-PD pathology analysis
| CO (N = 50) | RBD (N = 76) | Hyposmia (N = 217) | de novo PD (N = 194) | Moderate PD (N = 26) | P | |
|---|---|---|---|---|---|---|
| Sex [M/F] | [31/19] | [57/19] | [81/136] | [122/72] | [14/12] | >10−3 |
| Age [years] | 62.4 ± 11.9 | 67.5 ± 5.4 | 68.5 ± 5.7 | 63.0 ± 10.0 | 68.0 ± 7.6 | <10−3 |
| LRRK2/GBA1/none | 0/0/33 | 0/0/76 | 0/0/217 | 5/1/188 | 9/17/0 | – |
| Disease duration [years] | – | – | – | 1.0 ± 0.9 | 6.7 ± 2.1 | <10−3 |
| Levodopa equivalents | – | – | – | 12.4 ± 67.9 | 698.3 ± 454.1 | <10−3 |
| MDS UPDRS-III OFF score | 1.7 ± 2.1 | 4.1 ± 4.0 | 5.1 ± 5.4 | 23.2 ± 9.7 | 28.9 ± 11.9 | <10−3 |
| Hoehn & Yahr | 0.0 ± 0.0 | 0.0 ± 0.0 | 0.0 ± 0.0 | 1.7 ± 0.5 | 2.1 ± 0.4 | <10−3 |
| UPSIT | 34.6 ± 4.1 | 23.6 ± 7.8 | 23.2 ± 7.4 | 23.7 ± 7.7 | – | <10−3 |
| Education [years] | 16.9 ± 3.4 | 16.8 ± 2.8 | 16.8 ± 2.8 | 16.8 ± 3.2 | 16.3 ± 3.6 | 0.989 |
| MoCA | 27.7 ± 2.0 | 26.5 ± 2.7 | 26.8 ± 2.1 | 27.2 ± 2.3 | 26.1 ± 2.9 | 0.009 |
Data is presented as mean ± standard deviation unless noted otherwise. ANOVAs were used for group comparisons of age, education, UPDRS-III, and MoCA from which P values are shown. MDS UPDRS-III was measured in the OFF state. UPSIT scores were not released for the moderate PD participants. CO control, MoCA Montreal Cognitive Assessment, MDS UPDRS-III Movement Disorders Society Unified Parkinson’s Disease Rating Scale Part III, RBD rapid eye movement sleep behavior disorder, UPSIT University of Pennsylvania Smell Identification Test.
Twenty-six moderate PD participants (17 LRRK2 participants; 9 GBA1 participants) were used to assess the impact of genetic mutation on nigral volume in overt PD. No group differences in age (F = 2.547; P = 0.124), sex (χ2 = 0.490; P = 0.484), disease duration (F = 1.199; P = 0.284), levodopa equivalents (F = 0.034; P = 0.856), MDS UPDRS-III score (F = 0.732; P = 0.403), Hoehn and Yahr score (F = 0.426; P = 0.521) or MoCA (F = 0.173; P = 0.681) were observed between moderate PD patients with LRRK2 and GBA1 mutations. Demographic information for the manifest LRRK2 and manifest GBA1 moderate PD groups is summarized in Table 3.
Table 3.
Demographic information for the analysis examining the effect of genetic mutation on nigral volume in manifest PD participants at the 48-month time point
| Moderate PD | |||
|---|---|---|---|
| LRRK2 carrier | GBA1 carrier | P | |
| Sex [M/F] | [10/7] | [4/5] | 0.484 |
| Age [years] | 66.1 ± 7.3 | 71.0 ± 7.6 | 0.124 |
| Disease duration [years] | 6.4 ± 1.8 | 7.2 ± 2.2 | 0.284 |
| Levodopa equivalents | 710.4 ± 366.6 | 675.4 ± 612.0 | 0.856 |
| MDS UPDRS-III | 30.3 ± 9.7 | 25.3 ± 16.6 | 0.403 |
| Hoehn & Yahr | 2.1 ± 0.5 | 2.0 ± 0.0 | 0.521 |
| MoCA | 25.9 ± 3.0 | 26.4 ± 2.8 | 0.449 |
| Education [years] | 16.4 ± 4.0 | 16.2 ± 2.8 | 0.931 |
Data is presented as mean ± standard deviation unless noted otherwise. ANOVAs were used for group comparisons of age, education, UPDRS-III, and MoCA from which P values are shown. CO control, MDS UPDRS-III Movement Disorders Society Unified Parkinson’s Disease Rating Scale Part III, MoCA Montreal Cognitive Assessment.
Non-manifest comparisons
The effect of LRRK2, GBA1, and no genetic mutation on nigral volume in nonmanifest carriers and controls was tested with an analysis of covariance (ANCOVA) analysis with the site, total brain volume, sex, and age as covariates. ANCOVA analysis revealed no difference in nigral volume between NMCs of LRRK2 (381 mm3 ± 102 mm3) and GBA1 (379 mm3 ± 83 mm3) mutations and control participants (F = 0.732; P = 0.483). Total brain volume (F = 1.454; P = 0.230) and site (F = 0.263; P = 0.609) were not significant covariates in the model. Age (F = 6.208; P = 0.014) and sex (F = 6.485; P = 0.012) were significant covariates in the model (F = 6.485; P = 0.012), with reduced nigral volume associated with older age and male participants. These comparisons are shown in Fig. 1, and a spatial comparison of mean population SNc volume in the LRRK2 NMCs, GBA1 NMCs, and controls is shown in Fig. 2.
Fig. 1. Nigral volume incontrol, NMC, prodromal, and PD groups.
Comparisons of nigral volume marginal means in LRRK2 NMC,GBA1 NMC, and non-carrier controls are shown in (A). Comparisons of nigral volume marginal means in the control cohort, RBD, hyposmia, de novo PD cohort, and moderate PD cohort are shown in (B). In both box plots, the top and bottom of the box denote the 25th and 75th percentiles, respectively, with the line denoting the median value. * and ** denote significant levels of P < 0.05, P < 0.01, respectively.
Fig. 2. A comparison of SNc population mean volume in the control group (top row), non-manifest LRRK2 carriers (middle row), and non-manifest GBA1 carriers (bottom row).

For each group, the SNc population mean volume was created by transforming SNc masks from individual participants to MNI space and then averaging.
Nigral volume group comparisons
Figure 3 shows a comparison of mean MTC images in the control group (noncarriers), hyposmia group, RBD group, de novo PD group, and moderate PD group. The effect of group (control, hyposmia, RBD, de novo PD, moderate PD) on SNc volume was assessed using an ANCOVA with the site, age, total brain volume, and sex as covariates. A significant main effect of group (F = 9.882; P < 10−3) revealed reduced SNc volume in the hyposmia (P < 10−3), RBD (P = 0.002), de novo PD (P < 10−3), and moderate PD (P < 10−3) groups relative to the control group. The moderate PD group showed reduced nigral volume as compared to the hyposmia (P = 0.012) and RBD (P = 0.004) groups. A significant difference was seen between the RBD group and the de novo PD group (P = 0.025). No other comparisons were significant (Ps > 0.065). Sex was a significant covariate in the model (F = 17.170; P < 10−3), with reduced nigral volume associated with male participants. Site (F = 3.385; P = 0.066), age (F = 0.005; P = 0.944), and total brain volume (F = 3.233; P = 0.073) were not significant covariates. A comparison of SNc population mean volumes is shown in Fig. 4, and marginal means for each group are summarized in Table 4.
Fig. 3. A comparison of mean SNc contrast in control (top row), hyposmia (second row), RBD (third row), de novo PD (fourth row), and moderate PD (bottom row) groups.

Reduced contrast can be seen in the prodromal and PD groups as compared to the controls in slices Z = −18 mm and Z = −16 mm. For each group, the mean magnetization transfer contrast (MTC) image was created by transforming MTC images from individual participants to MNI space and then averaging. Arrows point to the regions exhibiting a loss of contrast in the de novo PD and moderate PD groups as compared to controls.
Fig. 4. A comparison of SNc population means in control (top row), hyposmia (second row), RBD (third row), de novo PD (fourth row), and moderate PD (bottom row) groups.

Reduced volume can be seen in all pathologic groups as compared to the controls in slices Z = −18 mm and Z = −16 mm. For each group, the SNc population mean was created by transforming SNc masks from individual participants to MNI space and then averaging.
Table 4.
Structure volumes from the marginal means in the control-pathology analysis
| Control | Hyposmia | RBD | de novo PD | Moderate PD | F | P | |
|---|---|---|---|---|---|---|---|
| SNc volume | 395.2 ± 117.0 | 332.1 ± 100.7 | 336.0 ± 96.6 | 309.4 ± 100.0 | 291.2 ± 118.3 | 9.882 | <10−3 |
Data is presented as mean ± standard deviation. ANCOVAs were used for group comparisons of SNc volume, from which the P values and F values are shown.
The effect of genetic mutation (GBA1, LRRK2) on SNc volume in the moderate PD group was tested using an ANCOVA with the site and sex as covariates. No main effect of group (F = 0.822; P = 0.496) was seen in SNc volume (GBA1: 259 mm3 ± 113 mm3; LRRK2: 262 mm3 ± 106 mm3). Sex (F = 0.910; P = 0.351) and site (F = 1.624; P = 0.641) were not significant covariates in the model. Reduced SNc volume was seen in moderate PD patients with the LRRK2 mutation as compared to nonmanifest LRRK2 carriers (NMC: 381 mm3 ± 102 mm3; F = 5.997; P = 0.017). Similarly, reduced SNc volume was observed in moderate PD patients with GBA1 mutation as compared to nonmanifest GBA1 carriers (NMC: 379 mm3 ± 83 mm3; F = 15.825; P < 10−3).
Clinical correlations
The effect of disease severity (MDS UPDRS-III OFF score) and disease duration on nigral volume was first assessed, separately, with Pearson correlations controlling for age and sex, in the de novo and moderate PD groups. A significant negative correlation was seen between nigral volume and disease duration (r = −0.176; P = 0.019), but no association was seen between MDS UPDRS-III OFF score and nigral volume (r = 0.075, P = 0.322) in the de novo PD group. No associations between nigral volume and MDS UPDRS-III OFF score (r = −0.276; P = 0.253) or nigral volume and disease duration (r = −0.280; P = 0.246) were observed in the moderate PD group. Pearson correlations, controlling for age and sex, in the combined (de novo + 48 month) PD group yielded a significant correlation between nigral volume and disease duration (r = −0.222, P = 0.001), with longer disease duration correlated with lower nigral volume. No association was observed between MDS UPDRS-III OFF score and nigral volume (r = −0.008; P = 0.914).
The relationship between UPSIT score and nigral volume was assessed with Pearson correlations, controlling for age and sex in the hyposmia prodromal group, RBD group, and de novo PD group separately. No associations were observed between nigral volume and UPSIT in the de novo PD group (r = −0.080; P = 0.284), RBD group (r = −0.039; P = 0.745), or hyposmia group (r = −0.071; P = 0.302).
Discussion
This study examined PD-related SNc degeneration in prodromal participants (hyposmic and RBD), de novo PD participants, and moderate PD participants. Standard space ROIs were used to define SNc regions used in the thresholding-based segmentation procedure, and this method has been shown to exhibit high scan-rescan reproducibility42–44. Application of the method found no difference in nigral volume between NMC of LRRK2 and GBA1 mutations and controls. Significant volume loss was seen in SNc of the prodromal PD groups (hyposmia, RBD) as well as in both PD groups (de novo, moderate) as compared to controls. In addition, nigral volume in the moderate PD group was reduced as compared to the prodromal groups. Finally, SNc volume was similar for PD patients with LRRK2 and GBA1 genetic mutations in the moderate PD group.
A prior study examining striatal binding ratio from dopamine transporter imaging (123-I Ioflupane DaTScan) in LRRK2 and GBA1 NMCs in the PPMI dataset did not observe DaTScan binding deficits in GBA1 and LRRK2 NMCs at baseline45. In addition, no progression was seen in striatal binding ratio in LRRK2 NMCs over two years46. As DaTScan striatal binding ratio is correlated with nigral volume32, these results suggest that GBA1 and LRRK2 NMCs will have similar nigral volume as controls. Our analysis revealed no difference in nigral between controls and GBA1 and LRRK2 NMCs at the 48-month time point. At the 24-month time point, only 5 of 175 of the LRRK2 NMC participants in PPMI phenoconverted to PD46. Similarly, only three GBA1 NMC participants with MT-prepared gradient echo (GRE) images have phenoconverted to PD to date. Thus, it is possible that the lack of a significant difference in nigral volume between NMC and controls may be due to incomplete penetrance of the LRRK2 and GBA1 mutations. However, we do not yet know the lifetime likelihood of phenoconversion to PD in the NMCs in this study, and the sample may also contain many NMCs who are a decade or more away from phenoconversion to PD. Once phenoconversion has occurred in a larger number of NMCs it will be important to study SNc volume as a predictor of phenoconversion.
Olfactory dysfunction is a common symptom of PD47 and may precede clinical diagnosis by at least 4 years48–50. The prodromal hyposmic participants used here have dopamine transporter deficits and these participants are highly likely to phenoconvert to PD40,41. Dopamine transporter deficits suggest this population is experiencing nigral volume loss32. Consistent with this posit, reduced nigral volume was observed in the prodromal hyposmic group as compared to controls. Taken together, these results suggest the nigrostriatal system is undergoing neurodegeneration in the prodromal hyposmic group.
Patients who have RBD and no other neurological condition are highly likely to develop an overt synucleinopathy (PD, dementia with Lewy bodies, multiple system atrophy) later in life51–53, and RBD is considered to be a prodromal stage of alpha synucleinopathies. Imaging studies have reported reductions in nigral volume or contrast35,36,54 in RBD patients relative to controls. In agreement with these studies, we observed a reduction in nigral volume of the RBD group relative to the control group, and a further reduction in nigral volume was observed in the PD group relative to the RBD group.
Using a lateral-ventral SNc ROI21, reductions in the proportion of individuals sharing a voxel in the group SNc atlases were found to be reduced in both PD groups relative to controls (controls = 0.38; de novo = 0.27; moderate PD = 0.25). The reduction in the proportion of individuals sharing a voxel in these areas agrees with prior studies, which found reductions in nigral width29,55, loss of contrast in the posterior portion of SNc27, or a loss of contrast in the lateral-ventral portions of SNc21. Further, these regions have been shown to overlap with nigrosome-1, the subregion of SNc with the greatest loss of melanized neurons56,57, and loss of contrast in these regions may be due to depletion of melanized neurons in nigrosome-1.
In contrast to an earlier study27, no correlation was seen between nigral volume and MDS UPDRS-III score in the de novo population or in the combined (de novo + moderate) PD population. This lack of correlation may be due to an absence of PD patients with more severe motor symptoms in our PD populations. PD populations studied in prior work included PD patients with a wide range of disease severity and disease duration27.
Nigral volume was negatively associated with disease duration in the de novo PD group alone as well as in the combined PD group (de novo + moderate). These results suggest that loss of nigral neurons continues as PD progresses from the de novo stage into the moderate stage of PD and agree with earlier studies that found nigral volume is negatively associated with disease duration25,26. However, results examining nigral volume in the moderate PD group should be interpreted with caution since these participants are LRRK2 and GBA1 carriers and the etiology of PD in these populations may be different than that of idiopathic PD. Larger multi-contrast longitudinal imaging studies examining the effect of genotype on nigral characteristics in PD are needed to elucidate changes in SNc in genetic and idiopathic PD populations.
The current findings provide additional evidence that MT effects robustly detect nigral depigmentation in prodromal populations PD (hyposmic and RBD), de novo PD, and moderate PD groups. The moderate (48-month time point) PD group experienced greater PD-related nigral volume loss as compared to the prodromal and de novo PD groups. Genetic mutation was not found to influence nigral volume in NMCs.
Methods
PPMI overview
Data used in the preparation of this article were obtained from the PPMI database (www.ppmi-info.org/access-data-specimens/download-data). For up-to-date information on the study, visit ppmi-info.org. Full inclusion and exclusion criteria for enrollment in PPMI can be found at www.ppmi-info.org. The PPMI project was approved by the Institutional Review Board or Independent Ethics Committee of all participating sites in Europe, including National and Kapodistrian University of Athens (Greece), Hospital Clinic de Barcelona and Hospital Universitario Donostia (Spain), Innsbruck University (Austria), University of Marburg (Germany), Imperial College London (United Kingdom), University of Salerno (Italy), Pitié-Salpêtrière Hospital (France), and in the United States of America, including Emory University, Johns Hopkins University, University of Alabama at Birmingham, PD and Movement Disorders Center of Boca Raton, Boston University, Northwestern University, University of Cincinnati, Cleveland Clinic Foundation, Baylor College of Medicine, Institute for Neurodegenerative Disorders, Columbia University Medical Center, Beth Israel Medical Center, University of Pennsylvania, Oregon Health and Science University, University of Rochester, University of California at San Diego, and University of California, San Francisco. Each participant provided informed, written consent prior to enrolling in PPMI.
Each participant enrolled in PPMI underwent cognitive testing, a physical exam, and genetic testing for pathogenic variants of the LRRK2 (G2019S) or GBA1 (N409S, R535H, L29Afs*18, L483P) genes. The MDS UPDRS58, performed by a movement disorders neurologist certified in the use of this scale, was used to measure motor and non-motor Parkinsonian symptoms at each visit. In addition, each participant underwent the PPMI cognitive battery, including the MoCA at each visit59. Olfactory function was assessed by the UPSIT at baseline.
Research participants
Criteria for inclusion of subjects from the PPMI database used in this analysis were as follows: 1) participants must be scanned with an MT-prepared GRE sequence on a Siemens scanner. A total of 653 participants (50 controls, 46 LRRK2 NMC, 44 GBA1 NMC, 76 RBD, 217 prodromal hyposmic participants, 194 de novo PD patients, and 26 moderate PD patients (PD patients with LRRK2 or GBA1 mutations at the 48-month time point) met these criteria. NMC LRRK2 and GBA1 mutations were confirmed to have pathogenic variants of LRRK2 (G2019s) or GBA1 (N409S, R535H, L29Afs*18, L483P) genes. These participants were included in the analysis if they had MDS UPDRS-III scores ≤5 at the 48-month time point and were not diagnosed with PD. Non-manifest LRRK2 and GBA1 participants were taken at the 48-month time point since that was the first time point containing MT-prepared GRE images. All hyposmic participants used in the analysis had hyposmia based on the UPSIT, dopamine transporter deficits, and were not diagnosed with PD. The moderate PD patients are not the same individuals as the de novo PD group. Imaging data were downloaded between July 2022 and December 2023.
MRI acquisition
MRI data used in this analysis were acquired on Siemens MRI scanners. NM-MRI data were acquired using a 2D MT prepared gradient echo (GRE) sequence17,18: mean/min/max echo time (TE) = 4.12 ms/2.88 ms/5 ms, mean/min/max repetition time (TR) = 478 ms/450 ms/691 ms, slice thickness 2 mm, in plane resolution 0.5 × 0.5 mm2, mean/min/max flip angle (FA) = 39.7°/22°/40°, mean/min/max bandwidth = 464 Hz/pixel/122 Hz/pixel/507 Hz/pixel, 16 contiguous slices, and MT preparation pulse (300°, 1.2 kHz off resonance, 10 ms duration), 5 or 10 measurements. A T1 magnetization-prepared rapid GRE (MP-RAGE) sequence was acquired with the following parameters: TE/TR = 2.62 ms/2300 ms, inversion time = 900 ms, FA = 9°, voxel size = 1.0 × 1.0 × 1.0 mm3, and used to derive a transform between Montreal Neurological Institute (MNI) common space and native T1-weighted images.
Image processing
MRI data were processed using the FMRIB Software Library (FSL). A transformation was derived between each individual’s T1-weighted image and 2 mm MNI T1-space using FMRIB’s Linear Image Registration Tool (FLIRT) and FMRIB’s Nonlinear Image Registration Tool (FNIRT) in the FSL software package using the following steps60,61. The T1-weighted image was brain-extracted using the brain extraction tool (BET). Next, an affine transform was used to align the brain-extracted T1-weighted images with the MNI brain-extracted image. Finally, a nonlinear transformation was used to generate a transformation from individual T1-weighted images to T1-weighted MNI T1-space.
For each participant, individual MT-prepared GRE measurements were denoised62, corrected for motion by registering all measurements to the first measurement using a rigid-body transform in FLIRT, and then averaged. Finally, a transform was derived between each individual’s T1-weighted image and the averaged MT-prepared GRE image with a boundary-based registration cost function. This transform was then inverted. This procedure is illustrated in Fig. 5.
Fig. 5. Schematics illustrating the processing steps for the MT-prepared GRE data and SNc segmentation procedure.
The preprocessing pipeline for the MT-prepared GRE data is shown in the top box and the SNc segmentation procedure is shown in the bottom box.
SNc volume was segmented in native space using an automated thresholding method. To ensure consistent placement of reference ROIs, a reference ROI in the cerebral peduncle was created using the MNI template, and, for each subject, the cerebral peduncle ROI was transformed to individual MT-prepared GRE images using the MNI-T1 and T1-GRE transforms described in previous paragraphs. The transform was done in a single step to reduce interpolation. The use of standard space ROIs ensured that the reference ROI was placed in similar locations for each subject. The mean (denoted μref), and standard deviation (σref) of the signal intensities were measured in the reference ROI.
Next, a standard space SNc atlas was used to localize regions surrounding SNc for thresholding63. This atlas was thresholded at a level of 5%, dilated, and transformed from standard space to individual MT-prepared GRE images. The ROIs for thresholding were dilated to ensure that the entire SNc was included for thresholding. Voxels in the resulting ROIs with intensity >μref + 2.8σref were considered to be part of SNc. This procedure is illustrated in Fig. 5.
Statistical analysis
All statistical analyses were performed using IBM SPSS Statistics software version 28 (IBM Corporation, Somers, NY, USA), and results are reported as mean ± standard deviation. A P value of 0.05 was considered significant for all statistical tests performed in this work. Normality of SNc volume was assessed using the Shapiro-Wilk test for each group, and all data were found to be normal.
For demographic data, analysis of variance (ANOVA) was used to assess differences in age, years of education, MDS UPDRS-III OFF score, and MoCA of the prodromal PD, overt PD (de novo, moderate), and control groups. Chi-square was used to examine differences in sex between groups.
The effect of genetic mutations (GBA1, LRRK2) in NMC and controls on SNc volume was assessed with an ANCOVA analysis controlling for age, total brain volume, imaging site, and sex.
The effect of group (control, RBD, hyposmia, de novo PD, moderate PD) was tested with an ANCOVA for SNc volume, controlling for sex, age, total brain volume, and imaging site. For all ANCOVAs, if the interaction was significant, post hoc comparisons between each pair of groups were performed using respective two-tailed t tests.
The effect of nigral volume on clinical measures (MDS UPDRS-III OFF score, disease duration) was assessed by correlating nigral volume with clinical measures in the combined PD group (de novo+moderate). Correlations between clinical measures and nigral volume were performed using Pearson correlations in PD groups, controlling for age and total brain volume.
Supplementary information
Acknowledgements
This work was supported by NIH-NINDS 1K23NS105944 (Huddleston) and NIH-NINDS 1U19AG071754 from the National Institutes of Health/National Institute of Neurological Diseases and Stroke, Michael J. Fox Foundation for Parkinson’s Research grants (MJFF-010556 and MJFF-010854), the American Parkinson’s Disease Foundation Center for Advanced Research at Emory University (Huddleston), and the Emory Lewy Body Dementia Association Research Center of Excellence (Huddleston). PPMI—a public-private partnership—was funded by the Michael J. Fox Foundation for Parkinson’s Research and funding partners, including (list the full names of all of the PPMI funding partners found at www.ppmi-info.org/about-ppmi/who-we-are/study-sponsors).
Author contributions
J.L. designed the study concept, analyzed the MRI data, performed the statistical analyses, and wrote the draft of the manuscript. K.H. performed statistical analyses and contributed to the revisions of the manuscript. D.H. contributed to the revisions of the manuscript. X.H. designed the study concept and contributed to the revisions of the manuscript.
Data availability
The data that support the findings of this study are available from the PPMI database (https://www.ppmi-info.org/access-data-specimens/data).
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
A full list of members and their affiliations appears in the Supplementary Information.
Supplementary information
The online version contains supplementary material available at 10.1038/s41531-025-00976-3.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data that support the findings of this study are available from the PPMI database (https://www.ppmi-info.org/access-data-specimens/data).


