The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Spread of α-synuclein pathology through the brain connectome is modulated by selective vulnerability and predicted by network analysis
Open accessAbstract
Studies of patients afflicted by neurodegenerative diseases suggest that misfolded proteins spread through the brain along anatomically connected networks, prompting progressive decline. Recently, mouse models have recapitulated the cell-to-cell transmission of pathogenic proteins and neuron death observed in patients. However, the factors regulating the spread of pathogenic proteins remain a matter of debate due to an incomplete understanding of how vulnerability functions in the context of spread. Here we use quantitative pathology mapping in the mouse brain, combined with network modeling to understand the spatiotemporal pattern of spread. Patterns of α-synuclein pathology are well described by a network model that is based on two factors: anatomical connectivity and endogenous α-synuclein expression. The map and model allow the assessment of selective vulnerability to α-synuclein pathology development and neuron death. Finally, we use quantitative pathology to understand how the G2019S LRRK2 genetic risk factor affects the spread and toxicity of α-synuclein pathology.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The arguments for synaptic spread are somewhat weakened by the fact that aggregate spread happens in both antero- and retrograde directions across regions that are anatomical neighbors (68).”
From Glymphatic failure as a final common pathway to dementia (2020) · cites this paper as [68]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Generalized Additive Models: An Introduction with R
Wood, S. N. (2017) · doi:10.1201/9781315370279 · Cited by 13,852
Staging of brain pathology related to sporadic Parkinson’s disease
Braak, H., Tredici, K. D., Rüb, U., de Vos, R. A. I., Jansen Steur, E. N. H., & Braak, E. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(02)00065-9 · Cited by 10,777
Wood, S. N. (2010) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2010.00749.x · Cited by 7,538
Genome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572
Wood, S. N. (2006) · doi:10.1201/9781420010404 · Cited by 4,953
Spillantini, M. G., Crowther, R. A., Jakes, R., Hasegawa, M., & Goedert, M. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.11.6469 · Cited by 2,868
A mesoscale connectome of the mouse brain
Oh, S. W., Harris, J. A., Ng, L., Winslow, B., Cain, N., Mihalas, S., Wang, Q., Lau, C., Kuan, L., Henry, A. M., et al. (2014) · Nature · doi:10.1038/nature13186 · Cited by 2,612
Luk, K. C., Kehm, V., Carroll, J., Zhang, B., O’Brien, P., Trojanowski, J. Q., & Lee, V. M.-Y. (2012) · Science · doi:10.1126/science.1227157 · Cited by 2,563
Self-citationStable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models
Wood, S. (2004) · Journal of the American Statistical Association · doi:10.1198/016214504000000980 · Cited by 2,046
(1998) · Europe PMC (PubMed Central) · Cited by 1,594
Self-citation
Cited by
Sorted by citations
Items 201–300 of 310
giRAff: an automated atlas segmentation tool adapted to single histological slices
Piluso, S., Souedet, N., Jan, C., Hérard, A., Clouchoux, C., & Delzescaux, T. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1230814 · Cited by 5
Neither alpha-synuclein fibril strain nor host murine genotype influences seeding efficacy
Walton, S., Fenyi, A., Tittle, T., Sidransky, E., Pal, G. D., Choi, S. G., Melki, R., Killinger, B. A., & Kordower, J. H. (2024) · npj Parkinson s Disease · doi:10.1038/s41531-024-00679-1 · Cited by 6
Investigating key factors underlying neurodegeneration linked to alpha‐synuclein spread
Pang, C. C.-C., Sørensen, M. H., Lee, K., Luk, K. C., Trojanowski, J. Q., Lee, V. M. ‐., Noble, W. J., & Chang, R. C. (2022) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12829 · Cited by 4
Self-citationVatsa, N., Brynildsen, J. K., Goralski, T. M., Kurgat, K., Meyerdirk, L. K., Breton, E., DeWeerd, D., Brasseur, L., Turner, L., Becker, K., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.22.619411 · Cited by 5
Self-citationEr, Ş., Parkkinen, I., Trepczyk, K., Seelbach, A., Pasculli, M. S., Lorenzo, F. D., Luk, K. C., Jankowska, E., Chmielarz, P., Domanskyi, A., et al. (2025) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2025.107048 · Cited by 4
Dynein‐Dependent Endo‐Lysosomal Degradation Drives Lewy Body Disorders Accompanied by Aβ Pathology
Zhou, L., Wang, Y., Liu, Y., Zhu, F., Gao, G., Li, C., Ai, P., Xu, J., Wang, J. J., Guo, L. Z., et al. (2025) · Advanced Science · doi:10.1002/advs.202414860 · Cited by 5
Self-citationTargeted tau protein degradation: a promising therapeutic approach for tauopathies
Baazaoui, N., Alfaifi, M. Y., Shati, A. A., Saad, R. B., & Garzoli, S. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.11.041 · Cited by 5
Formation of templated inclusions in a forebrain α-synuclein mouse model is independent of LRRK2
Dues, D. J., Ma, Y., Nguyen, A. P. T., Offerman, A. V., Beddows, I., & Moore, D. J. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106338 · Cited by 4
Cell-Engineered Recombinant α-Synuclein: A Gage R&R Validated Protocol
Thakkar, H., Chatterjee, S., Saxena, P., Eerla, R., Wagh, S., Khairnar, A., & Shah, R. P. (2023) · Journal of Proteome Research · doi:10.1021/acs.jproteome.3c00190 · Cited by 4
Lloyd, G. M., Quintin, S. S., Sorrentino, Z. A., Gorion, K.-M. M., Bell, B. M., Long, B., Paterno, G., & Giasson, B. I. (2024) · Acta Neuropathologica Communications · doi:10.1186/s40478-024-01805-z · Cited by 3
Yan, W., Ye, C., Wang, T., Sun, J., Wu, T., & Ma, T. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc44109.2020.9178266 · Cited by 4
Molecular and connectomic vulnerability shape cross-disorder cortical abnormalitiesPreprint
Hansen, J. Y., Shafiei, G., Vogel, J. W., Smart, K. A., Bearden, C. E., Hoogman, M., Franke, B., van Rooij, D., Buitelaar, J. K., McDonald, C. R., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.21.476409 · Cited by 4
Detrimental effects of soluble α-synuclein oligomers at excitatory glutamatergic synapses
Ferrari, E. S., Salvadè, M., Zianni, E., Brumana, M., Luca, M. D., & Gardoni, F. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1152065 · Cited by 4
Lee, M. K., Barnes, J., Vermilyea, S., Meints, J., & Martinez, H. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26136254 · Cited by 3
Assessing the Landscape of Mobile Data Vulnerabilities: A Comprehensive Review
Patil, H., & Sharma, K. (2023) · International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) · doi:10.1109/cises58720.2023.10183390 · Cited by 3
Cahill, R., Wang, Y., Xian, R. P., Lee, A. J., Zeng, H., Yu, B., Tasic, B., & Abbasi-Asl, R. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2319804121 · Cited by 4
Habit learning supported by efficiently controlled network dynamics in naive macaque monkeysPreprint
Szymula, K. P., Pasqualetti, F., Graybiel, A. M., Desrochers, T. M., & Bassett, D. S. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2006.14565 · Cited by 8
Self-citationCompression supports low-dimensional representations of behavior across neural circuitsPreprint
Zhou, D., Kim, J. Z., Pines, A. R., Sydnor, V. J., Roalf, D. R., Detre, J. A., Gur, R. C., Gur, R. E., Satterthwaite, T. D., & Bassett, D. S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.29.518415 · Cited by 5
Self-citationDutta, S., Hensel, J. A., Scott, A. N., Mohallem, R., Rossitto, L.-A. M., Khan, H. F., Diehl, L. A., Johnson, T., Colon, B. D., Gold, J. E., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.24.634820 · Cited by 3
Qin, K., Li, Y., Liu, Y., Li, X., Wang, Z., Xian, W., Tu, R., Yang, B., Ning, F., & Xie, A. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.04.063 · Cited by 2
Alim, A., Baek, Y., Lee, M., & Paek, J. (2026) · Communications Engineering · doi:10.1038/s44172-025-00581-5 · Cited by 4
REV-ERB-alpha and -beta coordinately regulate astrocyte reactivity and proteostatic function
Nadarajah, C. J., Li, M. Y., Quillin, E. I., Boyer, K., Dimitry, J. M., Chen, Y., King, M. W., Saliu, I. O., Lee, J., Sheehan, P. W., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2511093123 · Cited by 2
Geibl, F. F., Musa, A. A. S., Dietrich, L., Wolter, H. K., Wokosin, D. L., Khudayberdiev, S., Rust, M. B., Chen, R., Dawson, V. L., Dawson, T. M., et al. (2026) · Translational Neurodegeneration · doi:10.1186/s40035-026-00535-7 · Cited by 2
Temporal heterogeneity shapes diffusion dynamics in complex networks
Luo, C., Lambiotte, R., & Ji, P. (2026) · Nature Communications · doi:10.1038/s41467-026-72161-w · Cited by 4
Physiological Benefits of High-intensity Interval Training for Individuals With Parkinson's Disease
Duplea, S.-G. (2019) · Case Medical Research · doi:10.31525/ct1-nct03940261 · Cited by 2
Janer, A. B., Acker, E. V., Vonck, E., Plessers, D., Rosada, F., den Haute, C. V., Baekelandt, V., & Peelaerts, W. (2025) · npj Parkinson s Disease · doi:10.1038/s41531-025-01170-1 · Cited by 2
Preclinical Model to Evaluate Outcomes of Amyloid Cross-Toxicity in the Rodent Brain
Henrı́quez, G., Méndez, L., Castañeda, E., Wagler, A. E., Jeon, S., & Narayan, M. (2022) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.2c00419 · Cited by 2
Courte, J., Le, N. A., Bousset, L., Melki, R., Villard, C., & Peyrin, J. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.06.463379 · Cited by 2
Cahill, R., Wang, Y., Xian, R. P., Lee, A. J., Zeng, H., Yu, B., Tasic, B., & Abbasi-Asl, R. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.10.531984 · Cited by 2
Kordower, J. H., Butler, D., Chatterjee, D., D’Brant, L., Hiller, B., Marmion, D. J., Sandoval, I. M., Luk, K. C., Manfredsson, F. P., & Messer, A. C. (2024) · Research Square · doi:10.21203/rs.3.rs-4088206/v1 · Cited by 2
Dutta, S., Pang, M., Donahue, R. R., Chou, T., Seifert, A. W., & Gradinaru, V. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.06.687049 · Cited by 2
Le Bihan, D. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1858655 · Cited by 1
Bibliometric analysis of microRNAs and Parkinson’s disease from 2014 to 2023
Chen, L., Chen, J., Weng, W., Wu, M., Zhou, X., & Yan, P. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1466186 · Cited by 1
Alpha-synuclein spreading in Parkinson's disease
Song, C., & Luk, K. (2025) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-443-21992-4.00004-x · Cited by 1
Ghosh, S., Lin, H., Chu, S., Ngu, H., Zang, N., Raman, R., Stark, K. L., Foreman, O., Hashemifar, S. S., Easton, A. E., et al. (2026) · Discover Neuroscience · doi:10.1186/s13064-026-00286-1 · Cited by 2
Soto-Avellaneda, A., Prigent, A., Meyerdirk, L. K., Schautz, N., Pospisilik, J. A., Brundin, L., & Henderson, M. X. (2025) · Journal of Neuroinflammation · doi:10.1186/s12974-025-03596-z · Cited by 2
Self-citationmGluR4–NPDC1 complex mediates α-synuclein fibril-induced neurodegeneration
Pérez‐Cañamás, A., Chen, M., Almandoz-Gil, L., Khan, N., Tang, S. J., Ho, A., Gunther, E. C., & Strittmatter, S. M. (2025) · Nature Communications · doi:10.1038/s41467-025-67731-3 · Cited by 1
Zhang, J., Niu, J., Yang, S., & Zhu, G. (2026) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2026.121528 · Cited by 1
Parkinson’s disease and inflammatory bowel disease: exploring the connection between the two
Zhou, X., Zhang, X., Liang, H., & Bi, Y. (2026) · Ageing and Neurodegenerative Diseases · doi:10.20517/and.2026.01 · Cited by 1
Fu, J., Zhu, C., & Fan, Z. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1885103 · Cited by 1
Spreading of alpha-synuclein pathology from the gut to the brain in Parkinson's disease
Jevans, B., & Monte, D. A. D. (2021) · International review of movement disorders · doi:10.1016/bs.irmvd.2021.08.004 · Cited by 1
SENP2-based N-terminal truncation of α-synuclein in Lewy pathology propagation
Taguchi, K., Watanabe, Y., & Tanaka, M. (2025) · iScience · doi:10.1016/j.isci.2025.111935 · Cited by 1
Tet2 loss suppress α-synuclein pathology by stimulating ciliogenesisPreprint
Quansah, E., Vatsa, N., Ensink, E., Brown, J., Cave, T., Aguileta, M., Kuhn, E., Lindquist, A., Gilliland, C., Steiner, J. A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.02.606408 · Cited by 1
Self-citationLentini, V., Uras, G., Manca, A., Faqir, M. A. E., Pozo, S. L. D., Deiana, N., Cao, G., Schapira, A. H. V., & Pantaleo, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.25.620204 · Cited by 1
Vo, A., Tremblay, C., Rahayel, S., Al–Bachari, S., Berendse, H. W., Bright, J. K., Cendes, F., d’Angremont, E., Dalrymple‐Alford, J. C., Debove, I., et al. (2025) · medRxiv · doi:10.1101/2025.05.25.25326586 · Cited by 1
Demmings, M. D., Kane, E. A., Tennyson, E. C., Hurley, K., Zhao, J. L., Cruickshanks, N. A., Ciz, V., Krupa, J. M., Pasternak, S., & Cregan, S. P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.09.658667 · Cited by 1
Theint, A. T., Cazares, N., Zhang, S., Zhang, N., Mosley, R., Ishida, K., Higuchi, M., Peng, C., & Zeiger, W. (2026) · npj Parkinson s Disease · doi:10.1101/2025.07.31.668024 · Cited by 1
Luke, R., Yoo, H. S., McKenna, D., Bevan, A. M., Durso, C., Dugan, B. J., Liang, Y., Amanirad, B., Steltz, J. A., Zhang, B., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.28.719687 · Cited by 1
Self-citationConnectivity and vulnerability determine α-synuclein spread
Lemprière, S. A. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0251-8
Joppe, K. (2020) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-8016
Striatal seeding of protofibrillar alpha-synuclein causes cortical hyperreactivity in behaving micePreprint
Blumenstock, S., Sun, F., Marinković, P., Sgobio, C., Liebscher, S., & Herms, J. W. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.28.314526
Proteomic analysis of subcellular compartments containing disseminated alpha-synuclein seeds
Kasahara, J., Imamura, Y., Hiyama, A., Yamanaka, T., Miyazaki, H., & Nukina, N. (2020) · Neuroscience Research · doi:10.1016/j.neures.2020.11.009
Alpha-synuclein spreading mechanisms in Parkinson's disease: The role of membrane receptors
Brás, I. C., & Outeiro, T. F. (2021) · International review of movement disorders · doi:10.1016/bs.irmvd.2021.08.002
Kasahara, J. (2021) · Institutional Repositories DataBase (IRDB) · doi:10.14988/00028188
Nayeri, Z., Aliakbari, F., Afzali, F., Parsafar, S., Gharib, E., Otzen, D. E., & Morshedi, D. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.966760
Tullo, S., de Miranda, A. S., del Cid‐Pellitero, E., Lim, M. P., Gallino, D., Attaran, A., Patel, R., Novikov, V., Park, M., Beraldo, F. H., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.12.511820
Aguilar‐Calvo, P., Malik, A., Sandoval, D. R., Barback, C. V., Orru, C. D., Standke, H. G., Thomas, O., Dwyer, C. A., Pizzo, D. P., Bapat, J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.19.545528
Rousseaux, M. W. C., Geertsma, H. M., Fisk, Z. A., Sauline, L., Prigent, A., Kurgat, K., Callaghan, S. M., Tomlinson, J. J., & Henderson, M. X. (2023) · Research Square · doi:10.21203/rs.3.rs-3470830/v1
Self-citationZhejiang Lab, H., Zhang, Y., Sun, C., Xu, H., Shi, W., Cheng, L., Dagher, A., Zhang, Y., & Jiang, T. (2024) · doi:10.60124/j.pneuro.2024.10.04
Chu, H., Zhou, W., Daniels, S. R., Singh, V., Menard, M. A., & Galvis, M. L. E. (2024) · Research Square · doi:10.21203/rs.3.rs-4558816/v1
Neuropathologic Processes Linked to Brain Network Resilience in Parkinson Disease
Dayan, E. (2024) · Neurology · doi:10.1212/wnl.0000000000209731
Alim, A., Baek, Y., Lee, M., & Paek, J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.14.654131
Tullo, S., Park, J., Rahayel, S., Gallino, D., Park, M., Mar, K., Zheng, Y., del Cid‐Pellitero, E., Fon, E. A., Luo, W., et al. (2025) · eLife · doi:10.1101/2025.07.18.665565 · Cited by 1
LeeBae, J., Bopp, V., Goreth, A., Grozdanov, V., Kühlwein, J. K., Gazzola, E., Rombach, D., Meier, L., Dimou, L., & Danzer, K. M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.08.669249
Воронков, Д. Н., Stavrovskaya, A. V., Olshanskiy, A. S., Lebedeva, O. S., & Illarioshkin, S. N. (2025) · Bulletin of Experimental Biology and Medicine · doi:10.1007/s10517-025-06469-w
Lewy pathology accumulates in swollen corticostriatal synapses in α-synucleinopathiesPreprint
Prigent, A., & Henderson, M. X. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.27.672679
Self-citationLeveraging structurally-informed bioorthogonal conjugation for alpha synuclein fibril surveillancePreprint
Jenkins, R. A., Wu, S., Flowers, C. W., Taylor, L. J., Fujimura, G., Andres, H., Sun, C., Sawaya, M. R., Loo, J. A., & Rodríguez, J. A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.12.675751
Brainstem origin of Parkinson's disease symptoms
Tissone, A. I., & Esposito, M. S. (2025) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-443-21992-4.00011-7
An introduction to network models of neurodegenerative diseases
Brennan, G. S., & Goriely, A. (2025) · Simula SpringerBriefs on computing · doi:10.1007/978-3-032-00679-0_10
Li, P., Ensink, E., Lang, S., Marshall, L., Schilthuis, M., Lamp, J. A., Vega, I. E., & Labrie, V. (2020) · Figshare · doi:10.6084/m9.figshare.11960280
Schaser, A. J., Stackhouse, T. L., Weston, L. J., Kerstein, P. C., Osterberg, V. R., López, C. S., Dickson, D. W., Luk, K. C., Meshul, C. K., Woltjer, R. L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12891207
Lloyd, G. M., Quintin, S. S., Sorrentino, Z. A., Gorion, K.-M. M., Bell, B. M., Long, B., Paterno, G., & Giasson, B. I. (2024) · Figshare · doi:10.6084/m9.figshare.26731756
Schaser, A. J., Stackhouse, T. L., Weston, L. J., Kerstein, P. C., Osterberg, V. R., López, C. S., Dickson, D. W., Luk, K. C., Meshul, C. K., Woltjer, R. L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12891198
Li, P., Ensink, E., Lang, S., Marshall, L., Schilthuis, M., Lamp, J. A., Vega, I. E., & Labrie, V. (2020) · Figshare · doi:10.6084/m9.figshare.11960274
Pérez-Acuña, D., Rhee, K. H., Shin, S. J., Ahn, J., Lee, J.-Y., & Lee, S.-J. (2024) · Figshare · doi:10.6084/m9.figshare.26590688
Schaser, A. J., Stackhouse, T. L., Weston, L. J., Kerstein, P. C., Osterberg, V. R., López, C. S., Dickson, D. W., Luk, K. C., Meshul, C. K., Woltjer, R. L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12891210
Schaser, A. J., Stackhouse, T. L., Weston, L. J., Kerstein, P. C., Osterberg, V. R., López, C. S., Dickson, D. W., Luk, K. C., Meshul, C. K., Woltjer, R. L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12891222
Lubben, N., Brynildsen, J. K., Webb, C. M., Li, H. L., Leyns, C. E. G., Changolkar, L. N., Zhang, B., Meymand, E. S., O’Reilly, M., Madaj, Z., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25341205
Self-citationSchaser, A. J., Stackhouse, T. L., Weston, L. J., Kerstein, P. C., Osterberg, V. R., López, C. S., Dickson, D. W., Luk, K. C., Meshul, C. K., Woltjer, R. L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12891225
Schaser, A. J., Stackhouse, T. L., Weston, L. J., Kerstein, P. C., Osterberg, V. R., López, C. S., Dickson, D. W., Luk, K. C., Meshul, C. K., Woltjer, R. L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12891219
Schaser, A. J., Stackhouse, T. L., Weston, L. J., Kerstein, P. C., Osterberg, V. R., López, C. S., Dickson, D. W., Luk, K. C., Meshul, C. K., Woltjer, R. L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12891201
Schaser, A. J., Stackhouse, T. L., Weston, L. J., Kerstein, P. C., Osterberg, V. R., López, C. S., Dickson, D. W., Luk, K. C., Meshul, C. K., Woltjer, R. L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12891213
Schaser, A. J., Stackhouse, T. L., Weston, L. J., Kerstein, P. C., Osterberg, V. R., López, C. S., Dickson, D. W., Luk, K. C., Meshul, C. K., Woltjer, R. L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12891216
Schaser, A. J., Stackhouse, T. L., Weston, L. J., Kerstein, P. C., Osterberg, V. R., López, C. S., Dickson, D. W., Luk, K. C., Meshul, C. K., Woltjer, R. L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12891204
Schaser, A. J., Stackhouse, T. L., Weston, L. J., Kerstein, P. C., Osterberg, V. R., López, C. S., Dickson, D. W., Luk, K. C., Meshul, C. K., Woltjer, R. L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12891231
Sano, T., Nagata, T., Ebihara, S., Yoshida‐Tanaka, K., Nakamura, A., Sasaki, A., Shimozawa, A., Mochizuki, H., Uchihara, T., Hasegawa, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26720163
Discovery of Abundant Nano-scale Lymphatic-like Vessels in BrainsPreprint
Gu, S., Dong, H., Chen, H., Yu, J., Liu, L., Yan, J., Wang, H., Jiang, Z., Huang, W., Wang, W., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.30.697095
Ueda, J., Uemura, N., Chang, J., Hirato, T., Ishimoto, T., Oono, M., Matsuzawa, S., Matsumoto, R., Yamakado, H., & Takahashi, R. (2026) · Movement Disorders · doi:10.1002/mds.70191
Habit learning is associated with efficiently controlled network dynamics in naive macaque monkeys
Brynildsen, J. K., Fotiadis, P., Szymula, K. P., Kim, J. Z., Pasqualetti, F., Graybiel, A. M., Desrochers, T. M., & Bassett, D. S. (2026) · npj Complexity · doi:10.1038/s44260-025-00066-8 · Cited by 1
Self-citationAlexandersen, C. G., Brynildsen, J. K., Prigent, A., Tamborrino, M., Mantziou, A., Kurgat, K., Henderson, M. X., & Bassett, D. S. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.27.714785
Self-citationÉtude moléculaire de l'inflammation chronique dans la maladie de Parkinson
Compagnion, A. (2019) · theses.fr (ABES) · doi:10.70675/04ca138dz3131z4e24z884czbba2f7954a99
Étude de la propagation de l'alpha-synucléine de l'hôte vers le greffon dans la maladie de Parkinson
Patrigeon, M. (2022) · theses.fr (ABES) · doi:10.70675/8d75463az5b67z46bfz8649zc3e016dabdda
Habich, A., Baumann, J. M., Schwarz, C. G., Przybelski, S. A., Inguanzo, A., Oppedal, K., Blanc, F., Lemstra, A. W., Hort, J., Boeve, B. F., et al. (2026) · npj Parkinson s Disease · doi:10.1038/s41531-026-01355-2
Teshome, S., Torok, J., Mezias, C., Gupta, A., & Raj, A. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107403
Propagation of α-synuclein pathology: models, mechanisms and future goals
Zolin, A., Weber, S. A., Xie, Y. X., & Burré, J. (2026) · Molecular Neurodegeneration Advances · doi:10.1186/s44477-026-00038-9
Zanini, A., Saini, J., Yang, J., Dureux, A., Gacoin, M., Dollet, C., Johnston, K., Luo, W., Shlaifer, I., Durcan, T. M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.11.731687
Puangmalai, N., Sengupta, U., Bhatt, N. N., Suthprasertporn, N., Al‐Shaebi, F., Shchankin, N., Liew, J. Y., Chatterjee, T., Pansuriya, D., Balci, A. E., et al. (2026) · iScience · doi:10.1016/j.isci.2026.116399
Pourhadi, M., Ranxhi, B., Sukaria, S. P., Hussein, F. H., Todi, S. V., LeWitt, P. A., & Tsou, W. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.15.732494
Fritsch, E., Horvatović, K., Otte, P. S., Koudelka, T., Rossius, J., Braeuning, C., Breimann, L., Piazza, I., & Birol, M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.19.733342
Metadata
- Authors
- Henderson, M. X., Cornblath, E. J., Darwich, A., Zhang, B., Brown, H., Gathagan, R. J., Sandler, R. M., Bassett, D. S., Trojanowski, J. Q., & Lee, V. M. Y.
- Affiliations
- University of Pennsylvania (US)
- Corresponding author
- Henderson, Michael X.
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2019-07-25
- Volume
- 22
- Issue
- 8
- Pages
- 1248-1257
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC6662627
- OpenAlex
- W2963495948
- Cited by
- 310
- References
- 55
- Citations by year
- 2026: 33 · 2025: 48 · 2024: 47 · 2023: 35 · 2022: 36 · 2021: 42 · 2020: 54 · 2019: 15
- FWCI
- 24.87
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5r01ns099348-04)
- National Institute on Aging (U19AG062418, P30AG010124, T32AG000255)
- National Institute of Neurological Disorders and Stroke (P50NS053488, (R01 NS099348)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Parkinson's Disease Mechanisms and Treatments
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- alpha-synuclein pathology, brain connectome, selective neuronal vulnerability, LRRK2 G2019S, neurodegeneration, structural connectivity, network modeling, neuronal cell death, Parkinson's disease
- MeSH terms
- Leucine-Rich Repeat Serine-Threonine Protein Kinase-2, Animals, Brain, Brain Mapping, Female, Male, Mice, Inbred C57BL, Models, Neurological, Neurons, Linear Models, Neural Networks, Computer, Cell Death, Mice, alpha-Synuclein, Connectome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review