Abstract
Background
Pathogenic LRRK2 gene variants are a major genetic risk factor for both familial and sporadic Parkinson’s dissease (PD), opening an unattended window into disease mechanisms and potential therapies. Investigating the influence of pathogenic variants in LRRK2 gene on brain structure is a crucial step toward enabling early diagnosis and personalized treatment. Yet, despite its significance, the ways in which LRRK2 genotype affects brain structure remain largely unexplored. Work in this domain is plagued by small sample sizes and differences in cohort composition, which can obscure genuine distinctions among clinical subgroups.
Methods
In this study, we overcome such important limitations by combining explicit modeling of population background variation and pattern matching. Specifically, we leverage a cohort of 603 participants (including 370 with a PD diagnosis) to examine MRI-detectable cortical atrophy patterns associated with the LRRK2 pathogenic variants in people with PD and carriers without Parkinson’s symptoms.
Results
LRRK2 PD patients exhibit milder cortical thinning compared to sporadic PD, with notable preservation in temporal and occipital regions, suggesting a distinct pattern of neurodegeneration. Non-manifesting LRRK2 carriers show no significant cortical atrophy, indicating no structural signs of subclinical PD. We further analyze the relationship between aggregated alpha-synuclein in cerebrospinal fluid and atrophy. We find that those with evidence of aggregated alpha-synuclein experienced pronounced neurodegeneration and increased cortical thinning, possibly defining another aggressive PD subtype.
Conclusions
Our findings highlight genetic avenues for distinguishing PD subtypes, which could lead to more targeted treatment approaches and a more complete understanding of Parkinson’s disease progression.
Plain language summary
Parkinson’s disease is a brain disorder that affects movement, thinking, and daily functioning. While most cases have no clear cause, some people carry rare changes in a gene called LRRK2. Another important factor is a brain protein called alpha-synuclein, which can build up in harmful ways. In this study, we used brain scans from a large international project to understand how these genetic and protein markers relate to brain changes. We found that people with LRRK2 mutations had less brain damage than those with typical Parkinson’s disease, even when they had similar symptoms. This suggests that some people may have natural protection in the brain. Our findings could help doctors better understand different forms of Parkinson’s and guide more personalized treatments in the future.
Similar content being viewed by others
Data availability
Data used in the preparation of this article were obtained in May 2023 from the Parkinson’s Progression Markers Initiative (PPMI) database (www.ppmi-info.org/access-data-specimens/download-data), RRID:SCR_006431. Researchers can request access to PPMI imaging, genetic, and clinical data by submitting a data use agreement at the PPMI website. For up-to-date information on the study, visit www.ppmi-info.org. All numerical data underlying the graphs and charts in the main figures are provided as individual Excel files in the Supplementary Data: source data for Figs. 1–5 are available in Supplementary Data 1–5, respectively. Code used for analysis is available as described in the Code Availability section.
Code availability
The processing scripts and custom analysis software used in this work are available in a publicly accessible GitHub repository, along with examples of key visualizations in the paper: https://github.com/jakubkopal/LRRK2-MRI.
References
Taymans, J.-M. et al. Perspective on the current state of the LRRK2 field. npj Park. Dis. 9, 104 (2023).
Tolosa, E., Vila, M., Klein, C. & Rascol, O. LRRK2 in Parkinson disease: challenges of clinical trials. Nat. Rev. Neurol. 16, 97–107 (2020).
Sosero, Y. L. & Gan-Or, Z. LRRK2 and Parkinson’s disease: from genetics to targeted therapy. Ann. Clin. Transl. Neurol. 10, 850 (2023).
Simpson, C. et al. Prevalence of ten LRRK2 variants in Parkinson’s disease: a comprehensive review. Parkinsonism Relat. Disord. 98, 103–113 (2022).
Di Maio, R. et al. LRRK2 activation in idiopathic Parkinson’s disease. Sci. Transl. Med. 10, eaar5429 (2018).
Kluss, J. H., Mamais, A. & Cookson, M. R. LRRK2 links genetic and sporadic Parkinson’s disease. Biochem. Soc. Trans. 47, 651–661 (2019).
Jennings, D. et al. Preclinical and clinical evaluation of the LRRK2 inhibitor DNL201 for Parkinson’s disease. Sci. Transl. Med. 14, eabj2658 (2022).
Trinh, J., Guella, I. & Farrer, M. J. Disease penetrance of late-onset Parkinsonism: a meta-analysis. JAMA Neurol 71, 1535–1539 (2014).
Droby, A., Thaler, A. & Mirelman, A. Imaging markers in genetic forms of Parkinson’s disease. Brain Sci. 13, 1212 (2023).
Saunders-Pullman, R. et al. Progression in the LRRK2-asssociated Parkinson disease population. JAMA Neurol. 75, 312–319 (2018).
Kalia, L. V. et al. Clinical correlations with lewy body pathology in LRRK2-related Parkinson disease. JAMA Neurol 72, 100–105 (2015).
Siderowf, A. et al. Assessment of heterogeneity among participants in the Parkinson’s Progression Markers Initiative cohort using α-synuclein seed amplification: a cross-sectional study. Lancet Neurol. 22, 407–417 (2023).
Bentivenga, G. M. et al. Performance of a seed amplification assay for misfolded alpha-synuclein in cerebrospinal fluid and brain tissue in relation to Lewy body disease stage and pathology burden. Acta Neuropathol. 147, 18 (2024).
Hall, S. et al. Performance of αSynuclein RT-QuIC in relation to neuropathological staging of Lewy body disease. Acta Neuropathol. Commun. 10, 90 (2022).
Garrido, A. et al. Brain and cerebrospinal fluid α-synuclein real-time quaking-induced conversion identifies lewy body pathology in LRRK2-PD. Mov. Disord. Off. J. Mov. Disord. Soc. 38, 333–338 (2023).
Chahine, L. M. et al. LRRK2-associated parkinsonism with and without in vivo evidence of alpha-synuclein aggregates. MedRxiv Prepr. Serv. Health Sci. https://doi.org/10.1101/2024.07.22.24310806 (2024).
Marek, K. et al. The Parkinson’s progression markers initiative (PPMI) - establishing a PD biomarker cohort. Ann. Clin. Transl. Neurol. 5, 1460–1477 (2018).
Iwaki, H. et al. Accelerating medicines partnership: Parkinson’s disease. genetic resource. Mov. Disord. Off. J. Mov. Disord. Soc. 36, 1795–1804 (2021).
Dulski, J., Uitti, R. J., Ross, O. A. & Wszolek, Z. K. Genetic architecture of Parkinson’s disease subtypes – Review of the literature. Front. Aging Neurosci. 14, 1023574 (2022).
Fischl, B. FreeSurfer. NeuroImage 62, 774–781 (2012).
Desikan, R. S. et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage 31, 968–980 (2006).
Frazier, J. A. et al. Structural brain magnetic resonance imaging of limbic and thalamic volumes in pediatric bipolar disorder. Am. J. Psychiatry 162, 1256–1265 (2005).
Laansma, M. A. et al. International multicenter analysis of brain structure across clinical stages of Parkinson’s disease. Mov. Disord. Off. J. Mov. Disord. Soc. 36, 2583–2594 (2021).
Concha-Marambio, L., Pritzkow, S., Shahnawaz, M., Farris, C. M. & Soto, C. Seed amplification assay for the detection of pathologic alpha-synuclein aggregates in cerebrospinal fluid. Nat. Protoc. 18, 1179–1196 (2023).
Bzdok, D., Wolf, G. & Kopal, J. Harnessing population diversity: in search of tools of the trade. GigaScience 13, giae068 (2024).
Kopal, J., Uddin, L. Q. & Bzdok, D. The end game: respecting major sources of population diversity. Nat. Methods 20, 1122–1128 (2023).
Benkarim, O. et al. Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging. PLoS Biol. 20, e3001627 (2022).
Kuhn, H. W. The Hungarian method for the assignment problem. Nav. Res. Logist. Q. 2, 83–97 (1955).
Goetz, C. G. et al. Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov. Disord. Off. J. Mov. Disord. Soc. 23, 2129–2170 (2008).
Nasreddine, Z. S. et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J. Am. Geriatr. Soc. 53, 695–699 (2005).
Nalls, M. A. et al. Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson’s disease. Nat. Genet. 46, 989–993 (2014).
Brooker, S. M., Naylor, G. E. & Krainc, D. Cell biology of Parkinson’s disease: Mechanisms of synaptic, lysosomal, and mitochondrial dysfunction. Curr. Opin. Neurobiol. 85, 102841 (2024).
Martínez, M. et al. Brainstem neuromelanin and iron MRI reveals a precise signature for idiopathic and LRRK2 Parkinson’s disease. npj Park. Dis. 9, 1–11 (2023).
Obeso, J. A. et al. Pathophysiology of the basal ganglia in Parkinson’s disease. Trends Neurosci. 23, S8–S19 (2000).
Ohtsuka, C. et al. Changes in substantia nigra and locus coeruleus in patients with early-stage Parkinson’s disease using neuromelanin-sensitive MR imaging. Neurosci. Lett. 541, 93–98 (2013).
Batzu, L. et al. Increased basal forebrain volumes could prevent cognitive decline in LRRK2 Parkinson’s disease. Neurobiol. Dis. 183, 106182 (2023).
Liu, S.-Y. et al. The effect of LRRK2 mutations on the cholinergic system in manifest and premanifest stages of Parkinson’s disease: a cross-sectional PET study. Lancet Neurol. 17, 309–316 (2018).
Schumacher, J., Ray, N., Teipel, S. & Storch, A. Associations of cholinergic system integrity with cognitive decline in GBA1 and LRRK2 mutation carriers. NPJ Park. Dis. 10, 127 (2024).
Thullbery, M. D., Cox, H. D., Schule, T., Thompson, C. M. & George, K. M. Differential localization of acetylcholinesterase in neuronal and non-neuronal cells. J. Cell. Biochem. 96, 599–610 (2005).
Bohnen, N. I. et al. Cholinergic system changes in Parkinson’s disease: emerging therapeutic approaches. Lancet Neurol. 21, 381–392 (2022).
Mesulam, M. M., Mufson, E. J., Levey, A. I. & Wainer, B. H. Cholinergic innervation of cortex by the basal forebrain: cytochemistry and cortical connections of the septal area, diagonal band nuclei, nucleus basalis (substantia innominata), and hypothalamus in the rhesus monkey. J. Comp. Neurol. 214, 170–197 (1983).
Srivatsal, S. et al. Cognitive profile of LRRK2-related Parkinson’s disease. Mov. Disord. Soc. 30, 728–733 (2015).
Mak, E. et al. Baseline and longitudinal grey matter changes in newly diagnosed Parkinson’s disease: ICICLE-PD study. Brain 138, 2974–2986 (2015).
Gao, Y. et al. Changes of brain structure in Parkinson’s disease patients with mild cognitive impairment analyzed via VBM technology. Neurosci. Lett. 658, 121–132 (2017).
Ballinger, E., Ananth, M., Talmage, D. A. & Role, L. Basal forebrain cholinergic circuits and signaling in cognition and cognitive decline. Neuron 91, 1199–1218 (2016).
Rahayel, S. et al. A prodromal brain-clinical pattern of cognition in synucleinopathies. Ann. Neurol. 89, 341–357 (2021).
Brockmann, K. et al. Clinical and brain imaging characteristics in leucine-rich repeat kinase 2-associated PD and asymptomatic mutation carriers. Mov. Disord. Off. J. Mov. Disord. Soc. 26, 2335–2342 (2011).
Reetz, K. et al. Structural imaging in the presymptomatic stage of genetically determined parkinsonism. Neurobiol. Dis. 39, 402–408 (2010).
Droby, A. et al. Radiological markers of CSF α-synuclein aggregation in Parkinson’s disease patients. npj Park. Dis. 11, 1–9 (2025).
Liu, W. et al. Cerebrospinal fluid α-synuclein adds the risk of cognitive decline and is associated with tau pathology among non-demented older adults. Alzheimers Res. Ther. 16, 103 (2024).
Wong, Y. C. & Krainc, D. α-synuclein toxicity in neurodegeneration: mechanism and therapeutic strategies. Nat. Med. 23, 1–13 (2017).
Bieri, G. et al. LRRK2 modifies α-syn pathology and spread in mouse models and human neurons. Acta Neuropathol.137, 961–980 (2019).
Dues, D. J. & Moore, D. J. LRRK2 and protein aggregation in parkinson’s disease: insights from animal models. Front. Neurosci. 14, 719 (2020).
Walker, L. & Attems, J. Prevalence of concomitant pathologies in Parkinson’s disease: implications for prognosis, diagnosis, and insights into common pathogenic mechanisms. J. Park. Dis. 14, 35–52 (2024).
Mahlknecht, P. et al. Significance of MRI in diagnosis and differential diagnosis of Parkinson’s disease. Neurodegener. Dis. 7, 300–318 (2010).
Peplow, P., Martinez, B. & Gennarelli, T. A. Neurodegenerative Diseases Biomarkers: Towards Translating Research to Clinical Practice (Humana, 2021).
Heim, B., Krismer, F., De Marzi, R. & Seppi, K. Magnetic resonance imaging for the diagnosis of Parkinson’s disease. J. Neural Transm. 124, 915–964 (2017).
Haaxma, C. A. et al. Gender differences in Parkinson’s disease. J. Neurol. Neurosurg. Psychiatry 78, 819 (2006).
Rosenbaum, P. R. & Rubin, D. B. The central role of the propensity score in observational studies for causal effects. Biometrika 70, 41–55 (1983).
Acknowledgements
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, Allergan, Amathus Therapeutics, Aligning Science Across Parkinson’s, AskBio, Avid Radiopharmaceuticals, BIAL, BioArctic, Biogen, Biohaven, BioLegend, BlueRock Therapeutics, Bristol-Myers Squibb, Calico Labs, Capsida Biotherapeutics, Celgene, Cerevel Therapeutics, Coave Therapeutics, DaCapo Brainscience, Denali, Edmond J. Safra Foundation, Eli Lilly, Gain Therapeutics, GE HealthCare, Genentech, GSK, Golub Capital, Handl Therapeutics, Insitro, Jazz Pharmaceuticals, Johnson & Johnson Innovative Medicine, Lundbeck, Merck, Meso Scale Discovery, Mission Therapeutics, Neurocrine Biosciences, Neuron23, Neuropore, Pfizer, Piramal, Prevail Therapeutics, Roche, Sanofi, Servier, Sun Pharma Advanced Research Company, Takeda, Teva, UCB, Vanqua Bio, Verily, Voyager. D.B. was supported by the Brain Canada Foundation, through the Canada Brain Research Fund, with the financial support of Health Canada, National Institutes of Health (NIH R01 AG068563A, NIH R01 DA053301-01A1, NIH R01 MH129858-01A1), the Canadian Institute of Health Research (CIHR 438531, CIHR 470425), the Healthy Brains Healthy Lives initiative (Canada First Research Excellence fund), the IVADO R3AI initiative (Canada First Research Excellence fund), and by the CIFAR Artificial Intelligence Chairs program (Canada Institute for Advanced Research). The funders had no role in study design, data collection and analysis, the decision to publish, or the preparation of the manuscript.
Author information
Authors and Affiliations
Contributions
J.K. performed the analyses and drafted the manuscript. A.D. conceived the project and provided neurological expertise. D.B. led the analytical pipeline design and supervised the methodological framework. AV curated the dataset. Q.T. assisted with data preparation and quality control. S.T. and L.M.C. contributed to interpretation of the results in clinical context. All authors reviewed and approved the final manuscript.
Corresponding author
Ethics declarations
Competing Interests
D.B. is a shareholder and advisory board member at MindState Design Labs, USA. All other authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Kopal, J., Vo, A., Tao, Q. et al. Carriers of LRRK2 pathogenic variants show a milder, anatomically distinct brain signature of Parkinson’s disease. Commun Med (2026). https://doi.org/10.1038/s43856-025-01330-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s43856-025-01330-7


