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. Author manuscript; available in PMC: 2024 Dec 1.
Published in final edited form as: Mov Disord. 2023 Nov 14;38(12):2269–2281. doi: 10.1002/mds.29611

Cerebellar volume and disease staging in Parkinson’s disease: an ENIGMA-PD study

Rebecca Kerestes 1,, Max A Laansma 2,3,, Conor Owens-Walton 4, Andrew Perry 5, Eva M van Heese 2,3, Sarah Al-Bachari 6, Tim J Anderson 8,9,10, Francesca Assogna 11, Ítalo K Aventurato 12,13, Tim D van Balkom 2,3,14, Henk W Berendse 15, Kevin RE van den Berg 16,17, Rebecca Betts Mphys 18, Ricardo Brioschi 12, Jonathan Carr 19, Fernando Cendes 12,13, Lyles R Clark 20, John C Dalrymple-Alford 9,21, Michiel F Dirkx 22, Jason Druzgal 23, Helena Durrant 18, Hedley CA Emsley 24,25, Gaëtan Garraux 26,27, Hamied A Haroon 28, Rick C Helmich 16,17, Odile A van den Heuvel 2,3,14, Rafael B João 12,13, Martin E Johansson 22, Samson Khachatryan 29,30, Christine Lochner 31, Corey T McMillan 20, Tracy R Melzer 8,9,21, Philip Mosley 32,33, Benjamin Newman 23, Peter Opriessnig 34, Laura M Parkes 35,36, Clelia Pellicano 11, Fabrizio Piras 11, Toni L Pitcher 8,9, Kathleen L Poston 37, Mario Rango 38,39, Annerine Roos 40, Christian Rummel 41, Reinhold Schmidt 42, Petra Schwingenschuh 42, Lucas S Silva 12,13, Viktorija Smith 37, Letizia Squarcina 43, Dan J Stein 40, Zaruhi Tavadyan 29,30, Chih-Chien Tsai 44, Daniela Vecchio 11, Chris Vriend 2,14,45, Jiun-Jie Wang 46,47,48,49, Roland Wiest 41, Clarissa L Yasuda 12,13, Christina B Young 37, Neda Jahanshad 4, Paul M Thompson 4, Ysbrand D van der Werf 2,3, Ian H Harding 1,51; ENIGMA-Parkinson’s Study7,50
PMCID: PMC10754393  NIHMSID: NIHMS1940160  PMID: 37964373

Abstract

Background:

Increasing evidence points to a pathophysiological role for the cerebellum in Parkinson’s disease (PD). However, regional cerebellar changes associated with motor and non-motor functioning remain to be elucidated.

Objective:

To quantify cross-sectional regional cerebellar lobule volumes using 3D T1-weighted anatomical brain MRI from the global ENIGMA-PD working group.

Methods:

Cerebellar parcellation was performed using a deep learning-based approach from 2,487 people with PD and 1,212 age and sex-matched controls across twenty-two sites. Linear mixed effects models compared total and regional cerebellar volume in people with PD at each Hoehn and Yahr (HY) disease stage, to an age- and sex- matched control group. Associations with motor symptom severity and Montreal Cognitive Assessment scores were investigated.

Results:

Overall, people with PD had a regionally smaller posterior lobe (dmax= −0.15). HY stage-specific analyses revealed a larger anterior lobule V bilaterally (dmax= 0.28) in people with PD in HY stage 1 compared to controls. In contrast, smaller bilateral lobule VII volume in the posterior lobe was observed in HY stages 3, 4 and 5 (dmax= −0.76), which was incrementally lower with higher disease stage. Within PD, cognitively impaired individuals had lower total cerebellar volume compared to cognitively normal individuals (d= −0.17).

Conclusions:

We provide evidence of a dissociation between anterior ‘motor’ lobe and posterior ‘non-motor’ lobe cerebellar regions in PD. Whereas less severe stages of the disease are associated with larger motor lobe regions, more severe stages of the disease are marked by smaller non-motor regions.

Introduction

Anatomical abnormalities at the cerebral cortical and subcortical level are diffuse in Parkinson’s disease (PD), and have been reported across all symptomatic disease stages, in line with the progressive nature of PD.1 While the cerebellum is recognized for its cardinal role in motor functioning as well as various non-motor domains,29 relatively little research has been dedicated to characterizing the morphology of the cerebellum in PD.

Anatomically, the cerebellum consists of two hemispheres separated by the vermis, and is divided along its superior to inferior axis into three lobes: anterior, posterior and flocculonodular. The lobes are further subdivided into ten lobules, denoted by Roman numerals I-X.10,11 The anterior lobe, comprising lobules I-V, is largely associated with motor processes;12,13 the posterior lobe, comprising lobules VI-IX, can be further divided into superior (lobules VI, crus I and II (i.e. VIIA), and VIIB) and inferior (lobules VIIIA and VIIIB) divisions that represent non-motor and motor functional divisions, respectively.14,15 Lastly, the flocculonodular lobe, comprising lobule X, is implicated in the governing of eye movements and body equilibrium during stance and gait.11

Perhaps surprisingly, a voxel-based morphometry meta-analysis from 2017 revealed no differences in cerebellar structure in people with PD compared to controls. This was possibly explained by heterogeneous clinical characteristics of the PD samples examined.16 Furthermore, there is evidence to suggest that hypertrophy of subcortical regions may occur in mild stages of PD, which would further nuance meta-analysis findings.1 Other case-control findings suggest the involvement of the vermis, crus I, and lobule VI in PD,17,18 partly supported by a longitudinal analysis demonstrating subregional cerebellar atrophy in lobules I–IV, VI, crus I, crus II, VIIB, VIIIA, VIIIB, and the vermis.19 Some studies have shown associations between cerebellar atrophy and motor symptoms, cognitive dysfunction and disease severity.16,2022 In a recent study, higher volume of lobule IV was associated with a higher intensity of resting tremor and total tremor severity in people with PD.23 Whilst there is some evidence to suggest cerebellar involvement is restricted to tremor-predominant patients,18 findings have been inconsistent.16 More spatially precise examinations of regional cerebellar volume in larger, more diverse samples, are required to understand the PD-related changes in cerebellar structure associated with disease staging and its association with motor severity and cognitive functioning.

The development of new machine learning based approaches for optimised and automated feature-based parcellation of the cerebellum allows for more spatially precise, finer-grained mapping of cerebellar anatomy.24 One such approach, called Automatic Cerebellum Anatomical Parcellation using U-Net with Locally Constrained Optimization (ACAPULCO), uses a deep learning algorithm to automatically parcellate the cerebellum into 28 anatomical subunits.25 ACAPULCO performs on par with leading approaches for automatic cerebellar parcellation including CERES2, has broad applicability to both healthy and atrophied cerebellums, and is more time-efficient than other approaches.25

Here, we applied the standardized ENIGMA cerebellum parcellation protocol (https://enigma.ini.usc.edu/protocols/imaging-protocols/) which uses ACAPULCO to quantify cerebellar lobule volumes from 2,847 adults with PD and 1,212 controls from the global ENIGMA-PD working group.26 We ran multisite mega-analyses to infer regional cerebellar volumetric differences people with PD compared to controls, comparing Hoehn and Yahr (HY) stages 1, 2, 3 and 4–5 with age- and sex-matched control groups. Relationships between total and regional cerebellar volume and i) time since diagnosis, and ii) motor symptom severity were assessed. Finally, exploratory analyses were conducted to assess cerebellar volume differences between PD with and without cognitive impairment.

Methods

Sample characteristics

Twenty-two sites were included in this cross-sectional study, totalling 2,487 adults with PD and 1,212 controls (Tables 1 and 2). Clinical information from the PD subjects included HY stage, time since diagnosis, age of onset of PD, scores from the (Movement Disorder Society sponsored revision of the) Unified Parkinson’s Disease Rating Scale part 3 (MDS-)(UPDRS3) obtained in the ON or OFF state,27 medication status (currently on or off medication) and Montreal Cognitive Assessment (MoCA) score (Table 2).28 Individual-site inclusion and exclusion criteria are provided in Table S1. Some sites contributed multiple cohorts from separate testing environments including different MRI scanning acquisitions, yielding a total of 30 samples, henceforth referred to as “cohorts” (see “Image processing and analysis” section below). Disease severity was assessed using HY stages ranging from 1 to 5, from HY1, “unilateral involvement only usually with minimal or no functional disability”, to HY5, “confinement to bed or wheelchair unless aided”. The modified HY scale,29 which includes intermediate increments of 1.5 and 2.5 to complement stage 2 was used in 13 cohorts. We regrouped the cases so that HY1.5 (n = 79) and HY2.5 (n = 208) individuals were included in the HY2 group. The HY4 (n = 67) and HY5 (n = 19) groups were merged into HY4–5, given their smaller samples. To address the issue of some people with PD being assessed with the original UPDRS and some being assessed with the MDS-UPDRS, we used a validated formula to convert original UPDRS3 scores to predicted MDS-UPDRS3 scores.30

Table 1.

Demographic and clinical characteristics of the sample.

Age controls Age cases Female (%) Age of onset Duration of illness Total controls Total cases MDS-UPDRS

Site Cohort Mean (SD) Mean (SD) Controls Cases Mean (SD) Mean (SD)

Amsterdam Amsterdam I* 56.5 (9.6) 63.3 (10.6) 37 39 62.2 (11.2) 2.1 (2.4) 43 134 No
Amsterdam II 61.5 (9.5) 63.4 (7.1) 40 40 58.3 (7.9) 5.3 (3.8) 25 78 No
Bern Bern I 52.7 (9.5) 63.0 (10.6) 25 54 50.0 (10.4) 12.3 (4.2) 20 50 Yes
Bern II 67.6 (4.6) 60.2 (5.6) 67 50 47.0 (6.4) 13.7 (7.9) 36 4 No
Brisbane Brisbane I - 60.9 (9.5) - 24 NA 9.7 (6.1) - 25 No
Brisbane II - 62.3 (9.7) - 33 54.1 (9.6) 8.2 (4.2) - 58 No
CapeTown CapeTown 68.5 (6.3) 66.1 (5.6) 33 9 60.7 (5.9) 6.2 (3.8) 9 11 No
Chang Gung CGU* 61.0 (7.3) 59.9 (9.5) 42 43 51.8 (10.9) 8.6 (6.4) 227 322 No
Charlottesville Charlottesville I - 63.7 (9.1) - 24 54.1 (9.8) 9.6 (5.1) - 92 Yes
Charlottesville II - 62.0 (9.0) - 13 53.4 (9.9) 8.6 (3.6) - 30 Yes
Charlottesville III - 71.3 (6.7) - 32 63.4 (7.6) 8.0 (3.2) - 22 Yes
Christchurch PDNZ 69.1 (8.2) 69.3 (7.7) 35 27 63.6 (8.6) 5.6 (5.5) 52 201 Yes
Donders Donders I** 62.7 (10.3) 61.2 (9.9) 48 44 58.1 (10.8) 4.4 (3.9) 23 57 Yes
Donders II* 59.6 (9.6) 61.5 (8.9) 50 45 58.8 (8.9) 2.6 (1.5) 54 432 Yes
Graz PROMOVE/ASPS I 63.4 (10.1) 63.2 (10.4) 28 28 58.5 (10.6) 4.7 (4.6) 120 97 Yes
PROMOVE/ASPS II - 64.0 (9.9) - 22 60.0 (11.1) 4.0 (3.7) - 23 Yes
Liege Liege 64.7 (6.4) 65.6 (7.3) 49 44 58.8 (7.3) 6.8 (4.6) 63 61 No
Manchester Manchester 66.5 (6.9) 69.0 (7.8) 54 25 61.1 (9.6) 7.6 (4.9) 35 49 Yes
Milan Milan* 53.2 (8.3) 52.5 (6.9) 71 50 44.2 (7.8) 11.3 (6.4) 21 8 Not available
Neurocon Neurocon 67.7 (11.5) 68.7 (10.7) 86 38 NA NA 14 26 Yes
ON Japan Openneuro 63.3 (5.2) 66.6 (6.7) 53 54 NA NA 15 26 Not available
PPMI PPMI 60.3 (10.7) 61.4 (10.1) 45 40 60.8 (10.0) 0.5 (0.5) 109 228 Yes
Rome SLF Rome SLF 37.1 (10.8) 61.9 (10.5) 38 33 57.1 (11.2) 4.7 (4.4) 110 166 No
Stanford Stanford I 62.9 (10.2) 65.2 (9.7) 72 60 60.9 (9.5) 4.8 (3.3) 18 30 Yes
Stanford II 70.2 (4.9) 70.2 (8.0) 62 44 65.4 (7.8) 5.0 (3.5) 21 50 Yes
Tao Wu Tao Wu 63.7 (5.1) 64.0 (4.0) 38 57 59.2 (3.0) 4.8 (3.9) 16 14 Not available
UCSF UCSF 66.0 (6.3) 63.4 (7.5) 31 38 NA NA 16 24 Yes
Udall Udall 62.5 (10.0) 64.9 (9.3) 61 30 NA 8.6 (5.0) 18 23 Not available
Campinas UNICAMP 60.0 (8.4) 60.2 (10.2) 62 31 52.6 (12.0) 7.6 (6.6) 120 97 Yes
UPenn Upenn 65.2 (6.4) 70.0 (7.2) 63 33 60.3 (8.3) 9.2 (5.9) 27 49 Yes
Total 59.9 (11.8) 63.2 (9.7) 48 38 58.0 (10.5) 5.4 (5.1) 1212 2487

Table 2.

Demographic and clinical characteristics of the HY samples.

HY stage n Age (SD) Sex, % female Age at onset (SD) Time since Diagnosis, yrs MoCA score (SD) MDS-UPDRS3 (SD)

HY1 354 58.7 (9.1) 43 56.2 (10.2) 2.5 (2.8) 27.2 (2.5) OFF state: 16.1 (8.7)
ON state: 16.0 (7.3)
HY2 1,252 63.2 (9.1) 37 58.8 (10.0) 4.5 (4.5) 26.3 (3.0) OFF state: 29.9 (11.6)
ON state: 30.0 (14.6)
HY3 291 65.8 (9.7) 43 57.2 (12.3) 8.6 (6.4) 23.9 (4.0) OFF state: 39.0 (13.9)
ON state: 40.3 (16.0)
HY4-5 86 67.0 (10.1) 45 54.0 (11.8) 13.0 (6.2) 20.1 (5.0) OFF state: 56.3 (12.8)
ON state: 55.4 (18.8)

Note: HY stage information not available for all people with Parkinson’s disease

Image processing and analysis: ACAPULCO

Whole-brain, T1-weighted 3D volumetric MR images were collected from each participant. Scanner descriptions and acquisition protocols for all sites are reported in Table S2. We treated each individual scanner and/or data acquisition protocol used in the collection of MRI scans as a separate cohort during statistical analysis (see below). Each image was processed in accordance with the ENIGMA cerebellum parcellation protocol, as fully described elsewhere (https://enigma.ini.usc.edu/protocols/imaging-protocols/).26 In brief, the cerebellum was parcellated into 28 subregions (left and right lobules I-III, IV, V, VI, Crus I, Crus II, VIIB, VIIIA, VIIIB, IX and X; bilateral vermis VI, VII, VIII, IX and X, and bilateral corpus medullare (central white matter) using ACAPULCO (version 0.2.1; https://gitlab.com/shuohan/acapulco).25 As part of the pipeline, a measure of intracranial volume (ICV) is calculated for each participant using Freesurfer. At the individual-level, parcellated cerebellar masks were quality checked for segmentation errors (i.e., over or underinclusion of individual lobules) by visual inspection of the cerebellar mask overlaid on the respective participants T1 image. This was followed by quantitative identification of outlier volumes that were greater or less than 2.698 standard deviations from the group mean. Outlier volumes (treated as NA) were subsequently excluded from group-level statistical analyses.

Statistical analysis

All statistical analyses of cerebellar volume were carried out using R version 4.1.0. We fit linear mixed effects regression models (LMM) using lme4 and lmerTest packages in R, with diagnosis (i.e., control or PD), age, sex and ICV as fixed factors and cohort as a random intercept. The main analysis investigated differences in total cerebellar volume (sum of all 28 cerebellar regions of interest (ROI)) and each cerebellar lobule individually, in all people with PD vs. controls, using model 1:

Volume~Diagnosis+Age+Sex+ICV+1|cohort (1)

ICV was included to control for between-subject differences in head size, which explains a substantial proportion of inter-individual variability (of non-interest) in brain volumetric assessments. In addition to modelling cohort as a random intercept in our linear mixed models, we also ran COMBAT on our raw dataset to correct for site-related heterogeneity. Results and comparisons of the results from the linear mixed models for COMBAT-corrected data and model 1 are reported in the supplementary material. For HY stage-specific analyses, we selected a subsample of controls matched on age and sex to each HY stage. To do this, we used the nearest neighbor-matching procedure implemented in the MatchIt package for R,31 to select an age- and sex-matched subsample of controls for each HY group based on a propensity score estimated with logistic regression (MatchIt “glm” distance measure, ratio 2, caliper 0.15). Using this approach ensured that HY stages could be qualitatively compared. Matched subsamples were assessed using a two-sample Kolmogorov-Smirnov test for age and the Chi-squared test for sex. Model 1 was repeated for each of the HY stage-specific analyses. For all analyses, results were FDR (P<0.05) corrected for multiple comparisons. Cohen’s d effect sizes with 95% confidence intervals were calculated for each of the ROIs, based on the estimated marginal means and Satterthwaite’s approximation for degrees of freedom.32 Negative effect size values correspond to people with PD having lower values relative to controls.

We used linear mixed effects models to test for associations between each ROI volume (and total cerebellar volume) and i) motor symptom severity (MDS-UPDRS3 total score) and ii) time since diagnosis. For these models, age, sex, and ICV were modeled as fixed factors, and cohort as a random factor. For assessment with motor symptom severity, our primary analysis focused on MDS-UPDRS3 scores that were measured during the person’s ‘OFF’ state. If both ON and OFF state scores were available for each individual with PD (n = 1 cohort), the OFF state score was selected and used as a fixed factor in the model. Here, ‘OFF’ state is when the research team determines the participant is not receiving benefit from dopaminergic treatment, such as after a scheduled stop in therapy before the research session.27 For these analyses, partial 𝛈2 (eta-squared) is reported as a measure of effect size. Finally, to assess the relationship between cerebellar volume and cognitive ability within the entire sample, we first fit a linear mixed model with MoCA score, age, sex, MDS-UPDRS3 score and ICV modeled as fixed factors, and cohort as a random factor. MDS-UPDRS3 score was included in the model as we wanted to test for the association between cerebellar volume and cognition independent of disease progression. Then, we stratified the PD group based on their MoCA scores, into cognitively impaired (MoCA score < 26) and cognitively normal (MoCA score ≥ 26) groups and fit the above linear model to test for differences in regional and total cerebellar volume.33

Results

Complete sample

Demographics

A two sample t-test showed that, on average, the people with PD were significantly older than the controls, mean age for people with PD = 63.2, SD = 9.7, mean age controls = 59.9, SD = 11.8, (t3697 = −8.9, P < 0.001). There were significantly more males in the PD group (62%) compared to controls (52%), χ2(1, n = 3698) = 37.6, P < 0.001.

Total and regional cerebellum volume

There were no significant between-group differences in total (gray and white) cerebellar volume in people with PD vs. controls (P > 0.05 FDR). ROI analyses, however, revealed significantly lower gray matter volume in people with PD in 3 cerebellar lobules with small effect sizes (dmin= −0.11, dmax= −0.15, all P < 0.05 FDR; Figure 1). Effects were localized to the superior posterior lobe, specifically left and right VIIB and right Crus II. There were no significant between-group differences for the remaining cerebellar lobules (Table S3). An additional sensitivity analysis with an age and sex-matched subsample of 1,195 people with PD (49% female, mean age = 60.2, SD = 9.8) and 1,195 controls (51% female, mean age = 61.0, SD = 10.5) revealed lower volume of left and right VIIB and right Crus II in PD, with similar effect sizes (see Supplementary table S4).

Figure 1.

Figure 1.

Atlas-based effect size (Cohen’s d) map, MNI-based coronal slices (top: y= −72; bottom: y= −54) and forest plots (Cohen’s d +/− 95% confidence interval) of the significant between-group differences for all people with PD vs. controls. Note: negative effect sizes reflect people with PD < controls. Regions significant at PFDR corrected < 0.05 are depicted in red.

Associations with time since diagnosis, motor symptom severity and MoCA scores

A total of 2,297 people with PD had time since diagnosis scores available for analysis and 1,189 had MDS-UPDRS3 scores obtained in the OFF state. There was no significant association between time since diagnosis and total or regional cerebellar volume, in PD participants (all PFDR > 0.05). There were no significant associations between overall motor symptom severity and total or regional cerebellar volume. A trend negative relationship between motor symptom severity and total cerebellar volume was observed (PFDR = 0.06). Given the known role of the cerebellar motor lobe (particularly lobules IV and V) in resting tremor in PD,23,34 we examined associations between left and right lobule V volume and total left and right tremor MDS-UPDRS3 subscale scores. In addition, associations with rigidity and bradykinesia subscale scores were assessed. Methodological details can be found in the supplementary material. Results showed a significant negative correlation between right limb tremor and right cerebellar lobule V volume in the full sample (P = 0.02). In HY1 (n = 148) there was a significant positive correlation between left limb rigidity (P = 0.02) and right limb rigidity (P = 0.03) and right lobule V volume.

In the total PD sample, 1,252 individuals had MoCA and MDS-UPDRS3 scores available for analysis. There was a significant positive association between total cerebellar volume and MoCA score, independent of time since diagnosis in people with PD (PFDR = 0.002). Compared to cognitively normal people with PD (n=846), cognitively impaired people with PD (n=473) showed significantly lower total cerebellar volume (d= −0.17, 95% [−0.02, −0.30]; P = 0.01). Post hoc analyses showed that this finding remained significant after adjusting for motor symptom severity and time since diagnosis.

HY Stage analyses

The matching procedure selected 689 controls to match the 345 HY1 participants, 1,018 controls to match the 1,018 HY2 participants, 557 controls to match the 281 HY3 participants and 164 controls to match the 82 HY4–5 participants. The included controls partially overlapped across stage analyses. Two one-way ANOVAs across the 4 HY stage groups revealed significantly longer time since diagnosis and lower MoCA scores with increasing HY stages (Table 2).

HY1 vs controls

Compared to controls, HY1 participants did not show significant differences in total cerebellar volume (PFDR > 0.05). ROI analyses, however, revealed HY1 participants showed a higher volume of left and right lobule V in the anterior lobe (d= 0.23, 95% [0.10, 0.35] and d= 0.28, 95% [0.13, 0.42] respectively; all PFDR < 0.05) (Figure 2; Table S5).

Figure 2.

Figure 2.

Left panel: Atlas-based effect size (Cohen’s d) map and MNI-based coronal slices (top: y= −62; bottom: y= −48) of the significant between-group differences for HY1 participants vs. controls. Regions significant at PFDR corrected < 0.05 are depicted in blue. Right panel: Effect sizes for left (top) and right (bottom) lobule V cerebellar volume associated with each disease stage. Negative values reflect lower volume in the PD group compared to controls. Bars represent 95% confidence intervals.

HY2 vs controls

HY2 participants did not show significant differences in total cerebellar volume or regional cerebellar volume, compared to controls (P > 0.05 FDR) (Table S6).

HY3 vs controls

Compared to controls, HY3 participants showed significantly lower total cerebellar volume (d= −0.15, 95% [−0.02, −0.31]). ROI analyses revealed lower gray matter volume of superior posterior lobe regions left and right lobule VIIB (d= −0.31, 95% [−0.12, −0.50] and d= −0.35, 95% [−0.15, −0.53]) and right Crus II (d= −0.25, 95% [−0.09, −0.42]); all PFDR <0.05 (Table S7).

HY4–5 vs controls

HY4–5 participants showed significantly reduced total cerebellar volume compared to controls (d= −0.42, 95% [−0.09, −0.76]). As in HY3, HY4–5 participants also showed a significantly lower volume of left and right lobule VIIB compared to controls, but of a larger magnitude (left d= −0.76, 95% [−0.44, −1.1] and right d= −0.76, 95% [−0.42, −1.1]); all PFDR < 0.05. In addition, there was a significantly lower volume of the inferior posterior lobule left VIIIB (d= −0.45, 95% [−0.13, −0.78]) (Figure 3; table S8).

Figure 3.

Figure 3.

Left panel: Atlas-based effect size (Cohen’s d) map and MNI-based coronal slices (top: y= −72; bottom: y= −54) of the significant between-group differences for HY4–5 participants vs. controls. Right panel: Effect sizes for left (top) and right (bottom) lobule VIIB cerebellar volume associated with each disease stage. Negative values reflect lower volume in participants compared to controls. Bars represent 95% confidence intervals.

Post hoc analyses

HY Side-by-side comparison

Additional analyses comparing HY stages side-by-side showed significantly larger bilateral left and right lobule V in the HY1 group vs. HY4–5 group (PFDR<0.05; see supplementary Figure S1). The left V lobule in HY1 was also significantly larger than in HY2 and HY3 groups (PFDR<0.05). Lobule VIIB was significantly smaller in the HY4–5 group bilaterally compared to HY1 and HY2 groups (all PFDR<0.05). The right VIIB lobule was also significantly smaller in the HY3 group compared to the HY1 group (PFDR<0.05).

Discussion

In the largest, most comprehensive assessment of regional cerebellar volume in PD to date, we show evidence of regionally specific alterations in anterior and posterior cerebellar lobe volume in PD associated with different clinical stages of the disease. Whereas less severe disease stages (HY1) were associated with larger anterior ‘motor’ lobe regions, more severe disease stages (HY3, HY4–5) were associated with lower volumes principally weighted to posterior ‘non-motor’ lobes of the cerebellum. Lobule VIIB showed a non-linear pattern of lower volume with each HY-increment bilaterally, with the most significant group differences in HY4–5 compared to controls. Total cerebellar volume was significantly lower in PD participants with cognitive impairment compared to cognitively normal PD, independent of motor symptom severity.

The spatial non-uniformity of cerebellar volume differences associated with disease staging suggests a targeted involvement of motor cerebellar pathways during the earlier course of the disease and non-motor cerebellar pathways in the later stages of the disease. Our finding of larger bilateral lobule V in HY1 is partially supported by previous work demonstrating higher anterior lobe volume in PD.23 While we found no significant relationship between MDS-UPDRS3 total score and lobule volume, we showed in a subset of the PD sample that alterations of anterior lobe volume in people with PD map onto specific motor symptoms of the disease. Specifically, greater total right limb tremor was associated with smaller right anterior lobule V volume, although this finding was not significant in the (much smaller) HY1 group. Our observations sit apart from previous structural and functional MRI studies that report a positive correlation between cerebellum anterior lobe volume and severity of total tremor,23 as well as tremor-related activity and severity of rest tremor in PD.35 On the other hand, our findings are in line with a previous study showing a negative correlation between the cerebellum lobe VIIB and tremor severity in PD.36 These contradicting observations are possibly explained by interindividual differences in the pathophysiology of tremor that determine the level of cerebellar influence.37 The suggested opposite relationship between cerebellar volume and tremor versus rigidity may relate to the known inverse relationship between rigidity and tremor symptoms in people with PD.38 Collectively our findings suggest that anterior lobe morphology is related to two core motor symptoms, and supports the clinical relevance of these findings.

Higher anterior (motor) lobe volume in people with PD early in the disease course may be reflective of premorbidly larger anterior lobes, that retain their abnormal size in the early disease stage. It has been shown that genetic vulnerability to PD is associated with increased cortical surface area39,40 and higher ICV,41 and that people with PD on average have higher ICV compared to controls.1 These findings are suggestive of a neurodevelopmental component (i.e., brain overgrowth) underlying PD which may explain selectively larger regions such as the cerebellum and thalamus. It is also possible that enlarged anterior lobes in PD is a consequence of hypermetabolic activity in response to dysregulated subcortical circuits of the basal ganglia.42,43 The anterior lobe of the cerebellum is preferentially connected to motor-related regions of the cerebral cortex, including the premotor and motor cortex, through feedforward (corticopontine projections) and feedback (cerebello-thalamo-cortical) closed loops. Until recently, the motor loops of the cerebellum and basal ganglia were thought to be anatomically separate and to perform distinct motor functions.44 However, anatomical tracing studies in rats and monkeys have shown evidence for two disynaptic projections from the cerebellum to the striatum via the thalamus, and from the subthalamic nucleus (STN) to the cerebellum via the pontine nucleus, implying two-way communication between the cerebellum and basal ganglia.45,46 Temporary hypertrophy (e.g., synaptogenesis) of the anterior lobe of the cerebellum could be driven by afferent and efferent cerebellar projections; firstly, abnormally high STN activity is thought to play a major role in the expression of motor features and leads to abnormal excitement of the cerebellar cortex.47 Secondly, PD tremor specifically has been linked to basal ganglia-mediated hyperactivation of the cerebellothalamic pathway,35,48 and may be contingent upon higher thalamic volume in early PD.1 Critically, our findings suggest that higher anterior lobe volume in PD is not sustained over time, and diminishes with progression of the disease.

In contrast to the anterior lobe, posterior lobe volume was significantly lower in the PD group relative to controls and showed incremental decreases with more severe disease staging. Lobule VIIB, which showed the largest differences across stages, is a ‘non-motor’ region of the cerebellar cortex and is preferentially connected to prefrontal and posterior parietal regions of the cerebral cortex.13,49 Functional mapping studies ascribe this region to language and attentional processes.9,14 Functionally, this region is also part of the frontoparietal resting state network, that is selectively vulnerable to neurodegeneration and has been implicated in PD with and without associated cognitive decline.50 Our findings align with an ongoing neurodegenerative process in the posterior lobe; each HY increment replicates the pattern of lower volume in bilateral VIIB from the previous stage, denoted by larger group differences and further substantiated by statistically significant differences between disease stages. Notably, our findings were associated with the clinical state (disease stage) but not with time since diagnosis (disease duration). It remains unclear whether this cerebellar degeneration results from primary disease-related pathology or, if it is a secondary consequence of cortical and basal ganglia degeneration and associated progressive loss of functional capacity.

The association between worse cognitive performance and smaller cerebellar volume supports a growing body of empirical evidence for an instrumental role of the cerebellum in cognitive (non-motor) functioning in PD.16,51 Notably, this relation was not specific to any lobule, indicating a general relationship with cerebellar degeneration as the disease advances. Indeed, each increment of the HY stages was characterized by worse cognitive performance, motor performance and longer time since diagnosis. Future studies of functional connectivity changes of cerebellar lobules with the cerebral cortex across disease stages in PD and their associations with particular domains of cognition may yield insight into the functional reorganization of the cerebellum that occurs with disease progression and associated cognitive decline.

We found no associations with time since diagnosis, which seems counterintuitive in view of the progressive nature of PD. Of note is that the time between disease onset, symptom presentation, and clinical diagnosis may differ substantially across individuals with PD, depending on sex and type of symptoms.52,53 Time since diagnosis may not, therefore, be a fully representative estimate of disease duration and severity. A recent meta-analysis of functional imaging studies in PD similarly found no significant relationship with time since diagnosis.51

Some limitations deserve attention. Firstly, using cross-sectional data limits the strength of inferences we can make on disease progression, and precludes our ability to track diagnostic accuracy over time. Whilst we cannot rule out the possibility that a small number of individuals with atypical forms of parkinsonism were included in our patient group, our large sample provides high confidence that the findings are representative of the PD population. Moreover, we show disease patterns that agree with expected ongoing degeneration and that largely replicate our previous findings.1 Secondly, not all clinical measures were available for all cohorts, resulting in smaller samples for these analyses. Non-uniformity in the definition of OFF state for the MDS-UPDRS3 across sites, confounds the interpretability of the results. Similarly, variability in the medication washout period between sites and across individuals may have influenced disease severity measures. The retrospective study design limits our ability to more deeply investigate relationships between specific symptom domains and cerebellar structure, and control for the possible confounding of comorbidities (e.g. alcohol abuse, nutritional deficiencies and cerebrovascular disease). Thirdly, whether the findings are PD-specific or overlap with related neurodegenerative diseases (e.g. multiple system atrophy, progressive supranuclear palsy, and dementia with Lewy bodies) remains to be investigated.

In conclusion, we provide evidence of cerebellar structural alterations in PD, characterized by a dissociation between anterior and posterior cerebellar lobe involvement that is associated with disease staging. Our results suggest that the changes in cerebellar volume are temporally ordered, with larger anterior ‘motor’ lobe regions earlier in the course of the disease, and smaller posterior ‘non-motor’ lobes in later stages. This study underscores the importance of incorporating the cerebellum into neurobiological models of PD.

Supplementary Material

Fig S1
Supinfo

Acknowledgments

We thank all the students and research assistants for their contribution to the data collection and analysis, in particular Lennart Zegerius and Liska Scheffers. We thank Sophia Thomopoulos for her continuous administrative support. In memoriam: Gianfranco Spalletta (8/8/1962–18/3/2023).

Funding sources:

ENIGMA Core — This work was supported in part by NIH grants R01NS107513, R56AG058854, R01AG059874, R01MH116147, R01MH117601, and U54EB020403, the Michael J. Fox Foundation grant 14848.

Bern cohorts: This work was funded by the Swiss National Science Foundation (SNF, project 204593, “ScanOMetrics”).

PPMI — Data used in the preparation of this article were obtained from the Parkinson’s Progression Markers Initiative (PPMI) database (www.ppmi-info.org/access-data-specimens/download-data). For up-to-date information on the study, visit www.ppmi-info.org. PPMI - a public-private partnership - is funded by the Michael J. Fox Foundation for Parkinson’s Research and funding partners, including 4D Pharma, AbbVie, AcureX Therapeutics, Allergan, Amathus Therapeutics, Aligning Science Across Parkinson’s (ASAP), Avid Radiopharmaceuticals, Bial Biotech, Biogen, BioLegend, Bristol-Myers Squibb, Celgene Corporation, DaCapo Brainscience, Denali Therapeutics, The Edmond J. Safra Foundation, Eli Lilly and Company, GE Healthcare, GlaxoSmithKline, Golub Capital, Handl Therapeutics, Insitro, Janssen Pharmaceuticals, Lundbeck, Merck & Co., Inc., Meso Scale Diagnostics (MSD), LLC, Neurocrine Biosciences, Pfizer Inc., Piramal Imaging, Prevail Therapeutics, F. Hoffmann-La Roche Ltd and its affiliated company Genentech Inc., Sanofi Genzyme, Servier, Takeda Pharmaceutical Company, Teva Neuroscience, Inc., UCB, Vanqua Bio, Verily Life Sciences, Voyager Therapeutics, Inc., and Yumanity Therapeutics, Inc.

OpenNeuro Japan cohort — These data were obtained from the OpenfMRI database. Its accession number is ds000245. This research was supported in part by the following: a Grant-in-Aid from the Research Committee of Central Nervous System Degenerative Diseases by the Ministry of Health, Labour, and Welfare, Integrated Research on Neuropsychiatric Disorders project, carried out by SRBPS; a Grant-in-Aid for Scientific Research on Innovative Areas (Brain Protein Aging and Dementia Control 26117002) from the MEXT of Japan; Integrated Research on Neuropsychiatric Disorders carried out under the Strategic Research Program for Brain Sciences, Scientific Research on Innovative Areas (Comprehensive Brain Science Network); and Integrated Research on Depression, Dementia, and Development Disorders by the Strategic Research Program for Brain Sciences from the Japan Agency for Medical Research and Development (AMED).

NEUROCON cohort — This work was partially supported by the NEUROCON project (84/2012), financed by UEFISCDI.

Brisbane cohorts — This work was funded by a Royal Brisbane & Women’s Hospital Foundation Project Grant, an Early-Career Investigator Grant from the Royal Australian & New Zealand College of Psychiatrists and an Advance Queensland Early Career Investigator Grant.

Stanford cohort — This work was supported by the NIH/NINDS (K23 NS075097) and the Michael J. Fox Foundation for Parkinson’s Research.

Amsterdam I cohort — Grant support (not for this study) from the Netherlands Organisation for Health Research and Development, the Michael J. Fox Foundation, and the Hersenstichting.

Amsterdam II (Cogtips) cohort — Cogtips is supported by the Dutch Parkinson’s Disease Association (“Parkinson Vereniging” 2015–R04) and Brain Foundation of the Netherlands (“Hersenstichting” HA-2017–00227).

Liege I & II cohorts — This work was funded by PDR Grant T0.165.14, National Fund for Scientific Research (FNRS), Belgium.

Donders I cohort — This work was funded by a grant of the Dutch Brain Foundation (grant F2013(10–15 to R.H.), from the Netherlands Organization for Scientific Research (VENI grant 91617077, VIDI grant 09150172010044), and from the Michael J. Fox Foundation.

Donders II cohort — This work was funded by Verily Life Sciences, Health~Holland, The Michael J. Fox Foundation for Parkinson’s Research (grant ID #15581), The city of Nijmegen, The province of Gelderland and a centre of excellence grant from the Parkinson’s Foundation.

Rome SLF cohort — This work was funded by the Italian Ministry of Health, Italian Ministry of Health RC12–13–14–15–16–17–18–19/A.

UNICAMP cohort — This work was funded by the São Paulo Research Foundation FAPESP-BRAINN (2013–07559–3).

Christchurch cohort — This work was supported by the Health Research Council of New Zealand, Canterbury Medical Research Foundation, Neurological Foundation of New Zealand, University of Otago Research Grant, Brain Research New Zealand.

Charlottesville I-III cohorts — This work was supported by grants from the Department of Defense, Commonwealth of Virginia’s Alzheimer’s and Related Diseases Research Award Fund, and University of Virginia.

Manchester I and II cohorts — This work was funded by the Sydney Driscoll Neuroscience Foundation, Lancaster University and the Sir John Fisher Foundation, University of Manchester Biomedical Imaging Institute, Medical Research Council UK Doctoral Training Programme, Engineering and Physical Science Research Council UK (EP/M005909/1).

Pennsylvania cohort — This work was funded by the NINDS, NIH AG062418 (U19) and NS053488 (P50).

Chang Gung cohort — This work was supported by National Science and Technology Council (NSTC 109-2221-E-182-009-MY3, NSTC 109-2314-B-182-021-MY3, NSTC 112-2314-B-182-052-MY3); the Healthy Aging Research Center (grant EMRPD1M0451, EMRPD1M0431); and the Chang Gung Memorial Hospital (CMRPD1L0141).

UDALL – This work was funded by NIH grants RC4 NS073008 and P50 NS062684, and Ruth L. Kirschstein National Research Service Award T32AG0000258. Data paper: doi.org/10.1089/brain.2014.0248

Stanford I and II cohorts - Funded by NIH/NINDS NS075097, NS115114, and the Michael J Fox Foundation

Full financial disclosure for the previous 12 months:

T.J.A. is funded by Health Research Council grants (20/538, 21/165)

H.W.B. is funded by ZonMw, Michael J Fox Foundation

F.C. is funded by FAPESP grant 2013/07559–3.

M.D. is funded by a grant from ParkinsonNL (P2023–14)

H.E. is funded by EPSRC UK

J.D. is funded by an ENIGMA-PD R01 grant

J.D-A is funded the Health Research Council of New Zealand (20/538); Marsden Fund New Zealand (UOC2105); Neurological Foundation of New Zealand (2232 PRG) and the Research and Education Trust Pacific Radiology (MRIJDA).

G.G. is funded by an FNRS grant (Belgian fund for Scientific Research; Uniersity of Liege Liege Grant(Fonds Rahier)

R.C.H. is funded by the MJ Fox Foundation and the Netherlands Organization for Scientific Research

I.H.H. is funded by grants from the NHMRC, Friedreich Ataxia Research Alliance, National Ataxia Foundation and Telethon Fondazione

N.J. is funded by grants R01AG059874, R01MH117601, R01NS107513, R01AG058854, P41EB015922

P.M. receives Salary from a job as neuropsychiatrist at St Andrew’s War Memorial Hospital, Brisbane, and salary as research scientist at CSIRO.

C.M. is funded by NIH R01 grants NIH R01AG066152; NIH P01AG066597; NIH U54NS092091; NIH U01NS107027; NIH R01NS109260; NIH U19AG062418; PA Dept of Health 2019NF4100087335; NIH R01 AG070885; NIH P30AG072979; NIH R01NS107513; NIH R01 AG076832; NIH R01AG080734

T.M. is funded by a Health Research Council grant (20/538)

K.P. is funded by the Michael J Fox Foundation for Parkinson’s Research, the Lewy Body Dementia Association, the Alzheimer’s Drug Discovery Foundation, and the NIH.

F.P. is funded by the Italian Ministry of Health, grant number RF-2019–12370182

C.R. is funded by SNF grants #204593 and #180365

D.J.S. is funded by the SAMRC

C.Y. is funded by the NIH, Alzheimer’s Association and New Vision Research

L.M.P. is funded by EPSRC UK, MRC UK, GE medical systems, and the Academy of Medical Sciences, UK

T.P. is funded by a Health Research Council grant (21/165).

O.A.v.d.H is funded by NWO/ZonMw, Hersenstichting and the NIMH

C.V. is funded by the Michael J Fox Foundation

D.V. is funded by the Italian Ministry of Health, Ricerca Corrente 2023.

J.W. is funded by the National Science and Technology Council, Taiwan

R.W. is funded by SNF grant #180365

C.Y. is funded by São Paulo Research Foundation FAPESP-BRAINN Grant # 2013–07559–3; CNPQ (#315953/2021–7) National Council for Scientific and Technological Development

C.L. is funded by the South African Medical Research Council.

Footnotes

Relevant conflicts of interest/financial disclosures

P.S. reports personal fees from Bial, AbbVie and Boston Scientific.

G.G. owns stocks in Koios Care (https://www.koios.care/) and has received consultancy fees from Abbvie Belgium, Zambon Belgium and EG Belgium (Stada group). He also received an Honorarium from Abbvie Belgium, Zambon Belgium and EG Belgium.

M.D. has received Honoraria from Movement Disorders Society, Quebec.

I.H.H. has provided consulting services to PTC Therapeutics, Steminent Biotherapeutics, BioAge Labs, Exicure Inc, unrelated to this work.

K.P. owns stocks in Amprion and Curasen. She has also received honoraria from invited scientific presentations to universities and professional societies not exceeding $5000/yr and provides consulting services to Curasen.

D.J.S. has received consultancy fees from Discovery Vitality, Johnson & Johnson, Kanna, L’Oreal, Lundbeck, Orion, Sanofi, Servier, Takeda and Vistagen. He has also received royalties from American Psychiatric Publishing, Cambridge University Press, Elsevier Press, and Oxford University Press

Data availability statement

Publicly available datasets used in this work include PPMI (ppmi-info.org), OpenNeuro Japan including Udall cohort (openneuro.org/datasets/ds000245/), and Neurocon and Tao Wu’s data set (fcon_1000.projects.nitrc.org/indi/retro/parkinsons.html). The remaining cohorts are not all publicly available. Researchers are invited to register interest with the ENIGMA-PD Working Group in order to formally request data through secondary research proposals. These proposals are then considered by the working group leads and the individual site principal investigators. Any shared data are subject to individual data transfer agreements between each pair of participating institutions and investigators.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Fig S1
Supinfo

Data Availability Statement

Publicly available datasets used in this work include PPMI (ppmi-info.org), OpenNeuro Japan including Udall cohort (openneuro.org/datasets/ds000245/), and Neurocon and Tao Wu’s data set (fcon_1000.projects.nitrc.org/indi/retro/parkinsons.html). The remaining cohorts are not all publicly available. Researchers are invited to register interest with the ENIGMA-PD Working Group in order to formally request data through secondary research proposals. These proposals are then considered by the working group leads and the individual site principal investigators. Any shared data are subject to individual data transfer agreements between each pair of participating institutions and investigators.

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