Rich-Club Organization: An Important Determinant of Functional Outcome After Acute Ischemic Stroke
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Abstract
Abstract Objective To determine whether the rich-club organization, essential for information transport in the human connectome, is an important biomarker of functional outcome after acute ischemic stroke (AIS). Methods Consecutive AIS patients (N=344) with acute brain magnetic resonance imaging (MRI) (<48 hours) were eligible for this study. Each patient underwent a clinical MRI protocol, which included diffusion weighted imaging (DWI). All DWIs were registered to a template on which rich-club regions have been defined. Using manual outlines of stroke lesions, we automatically counted the number of affected rich-club regions and assessed its effect on the National Institute of Health Stroke Scale (NIHSS) and modified Rankin Scale (mRS; obtained at 90 days post-stroke) scores through ordinal regression. Results Of 344 patients (median age 65, inter-quartile range 54-76 years) with a median DWI lesion volume (DWIv) of 3cc, 64% were male. We established that an increase in number of rich-club regions affected by a stroke increases the odds of poor stroke outcome, measured by NIHSS (OR: 1.77, 95%CI 1.41-2.21) and mRS (OR: 1.38, 95%CI 1.11-1.73). Additionally, we demonstrated that the OR exceeds traditional markers, such as DWIv (OR NIHSS 1.08, 95%CI 1.06-1.11; OR mRs 1.05, 95%CI 1.03-1.07) and age (OR NIHSS 1.03, 95%CI 1.01-1.05; OR mRs 1.05, 95%CI 1.03-1.07). Conclusion In this proof-of-concept study, the number of rich-club nodes affected by a stroke lesion presents a translational biomarker of stroke outcome, which can be readily assessed using standard clinical AIS imaging protocols and considered in functional outcome prediction models beyond traditional factors.
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
A reproducible evaluation of ANTs similarity metric performance in brain image registration
Avants, B. B., Tustison, N. J., Song, G., Cook, P. A., Klein, A., & Gee, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.025 · Cited by 4,796 · see citing works
Feigin, V. L., Forouzanfar, M. H., Krishnamurthi, R., Mensah, G. A., Connor, M., Bennett, D. A., Moran, A. E., Sacco, R. L., Anderson, L., Truelsen, T., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(13)61953-4 · Cited by 3,899 · see citing works
The Human Connectome: A Structural Description of the Human Brain
Sporns, O., Tononi, G., & Kötter, R. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010042 · Cited by 3,260 · see citing works
Rich-club organization of the human connectome
van den Heuvel, M. P., & Sporns, O. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3539-11.2011 · Cited by 2,354 · see citing works
Banks, J. L., & Marotta, C. A. (2007) · Stroke · doi:10.1161/01.str.0000258355.23810.c6 · Cited by 2,253 · see citing works
Applied Linear Regression Models
Kianifard, F., Neter, J., Wasserman, W., & Kutner, M. H. (1990) · Technometrics · doi:10.2307/1269127 · Cited by 1,598 · see citing works
The influence of gender and age on disability following ischemic stroke: the Framingham study
Kelly‐Hayes, M., Beiser, A., Kase, C. S., Scaramucci, A., D’Agostino, R. B., & Wolf, P. A. (2003) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/s1052-3057(03)00042-9 · Cited by 729 · see citing works
Abnormal Rich Club Organization and Functional Brain Dynamics in Schizophrenia
van den Heuvel, M. P., Sporns, O., Collin, G., Scheewe, T. W., Mandl, R. C. W., Cahn, W., Goñi, J., Pol, H. E. H., & Kahn, R. S. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.1328 · Cited by 646 · see citing works
Lövblad, K., Baird, A. E., Gottfried Schlaug, A., Benfield, A., Siewert, B., Voetsch, B., Connor, A., Burzynski, C., Edelman, R. R., & Warach, S. J. (1997) · Annals of Neurology · doi:10.1002/ana.410420206 · Cited by 467 · see citing works
Tong, D., Yenari, M. A., Albers, G. W., O’Brien, M. W., Marks, M. P., & Moseley, M. E. (1998) · Neurology · doi:10.1212/wnl.50.4.864 · Cited by 442 · see citing works
Human and economic burden of stroke
Carlo, A. D. (2008) · Age and Ageing · doi:10.1093/ageing/afn282 · Cited by 388 · see citing works
The influence of age on stroke outcome. The Copenhagen Stroke Study.
Nakayama, H., Jørgensen, H. S., Raaschou, H. O., & Olsen, T. S. (1994) · Stroke · doi:10.1161/01.str.25.4.808 · Cited by 366 · see citing works
Rich-club organization of the newborn human brain
Ball, G., Aljabar, P., Zebari, S., Tusor, N., Arichi, T., Merchant, N., Robinson, E. C., Ogundipe, E., Rueckert, D., Edwards, A. D., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1324118111 · Cited by 360 · see citing works
Predicting outcome and recovery after stroke with lesions extracted from MRI images
Hope, T. M. H., Seghier, M. L., Leff, A. P., & Price, C. J. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.03.005 · Cited by 243 · see citing works
Thijs, V., Lansberg, M. G., Beaulieu, C., Marks, M. P., Moseley, M. E., & Albers, G. W. (2000) · Stroke · doi:10.1161/01.str.31.11.2597 · Cited by 239 · see citing works
Network analysis detects changes in the contralesional hemisphere following stroke
Crofts, J. J., Higham, D. J., Bosnell, R., Jbabdi, S., Matthews, P. M., Behrens, T. E. J., & Johansen‐Berg, H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.032 · Cited by 210 · see citing works
Neural function, injury, and stroke subtype predict treatment gains after stroke
Quinlan, E. B., Dodakian, L., See, J., McKenzie, A. L., Le, V., Wojnowicz, M., Shahbaba, B., & Cramer, S. C. (2014) · Annals of Neurology · doi:10.1002/ana.24309 · Cited by 203 · see citing works
Rich-Club Organization in Effective Connectivity among Cortical Neurons
Nigam, S., Shimono, M., Ito, S., Yeh, F.-C., Timme, N. M., Myroshnychenko, M., Lapish, C. C., Tosi, Z., Hottowy, P., Smith, W. C., et al. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2177-15.2016 · Cited by 180 · see citing works
Wu, O., Cloonan, L. K., Mocking, S. J. T., Bouts, M. J. R. J., Copen, W. A., Cougo, P., Fitzpatrick, K. M., Kanakis, A. S., Schaefer, P. W., Rosand, J. M., et al. (2015) · Stroke · doi:10.1161/strokeaha.115.009643 · Cited by 171 · see citing works
Self-citationRay, S., Miller, M., Karalunas, S., Robertson, C., Grayson, D. S., Cary, R. P., Hawkey, E., Painter, J. G., Kriz, D., Fombonne, E., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22603 · Cited by 149 · see citing works
mctest: An R Package for Detection of Collinearity among Regressors
Imdadullah, M., Aslam, M. A., & Altaf, S. (2016) · The R Journal · doi:10.32614/rj-2016-062 · Cited by 147 · see citing works
Specific DWI lesion patterns predict prognosis after acute ischaemic stroke within the MCA territory
Bang, O. Y. (2005) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2004.059998 · Cited by 100 · see citing works
Structural connectome disruption at baseline predicts 6-months post-stroke outcome
Kuceyeski, A. F., Navi, B. B., Kamel, H., Raj, A., Relkin, N. R., Toglia, J. P., Iadecola, C., & O’Dell, M. W. (2016) · Human Brain Mapping · doi:10.1002/hbm.23198 · Cited by 98 · see citing works
Simulated rich club lesioning in brain networks: a scaffold for communication and integration?
de Reus, M. A., & van den Heuvel, M. P. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00647 · Cited by 89 · see citing works
Ottenbacher, K. J., Smith, P. M., Illig, S. B., Linn, R. T., Fiedler, R. C., & Granger, C. V. (2001) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(01)00395-x · Cited by 86 · see citing works
Spatial Signature of White Matter Hyperintensities in Stroke Patients
Schirmer, M. D., Giese, A., Fotiadis, P., Etherton, M. R., Cloonan, L. K., Viswanathan, A., Greenberg, S. M., Wu, O., & Rost, N. S. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00208 · Cited by 58 · see citing works
Self-citationIntegrity of normal-appearing white matter and functional outcomes after acute ischemic stroke
Etherton, M. R., Wu, O., Cougo, P., Giese, A., Cloonan, L. K., Fitzpatrick, K. M., Kanakis, A. S., Boulouis, G., Karadeli, H. H., Lauer, A., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000003890 · Cited by 53 · see citing works
Self-citationAlzheimer's disease disrupts rich club organization in brain connectivity networks
Daianu, M., Dennis, E. L., Jahanshad, N., Nir, T. M., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2013) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2013.6556463 · Cited by 50 · see citing works
Addressing the Heterogeneity of the Ischemic Stroke Phenotype in Human Genetics Research
Meschia, J. F. (2002) · Stroke · doi:10.1161/01.str.0000035261.28528.c8 · Cited by 48 · see citing works
Infarct topography and functional outcomes
Etherton, M. R., Rost, N. S., & Wu, O. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x17700666 · Cited by 44 · see citing works
Self-citationDesign and rationale for examining neuroimaging genetics in ischemic stroke
Giese, A., Schirmer, M. D., Donahue, K., Cloonan, L. K., Irie, R. E., Winzeck, S., Bouts, M. J. R. J., McIntosh, E. C., Mocking, S. J. T., Dalca, A. V., et al. (2017) · Neurology Genetics · doi:10.1212/nxg.0000000000000180 · Cited by 36 · see citing works
Self-citationDWI Lesion Patterns Predict Outcome in Stroke Patients with Thrombolysis
Liu, D., Scalzo, F., Starkman, S., Rao, N. M., Hinman, J. D., Kim, D., Ali, L. K., Saver, J. L., Noorian, A. R., Ng, K., et al. (2015) · Cerebrovascular Diseases · doi:10.1159/000441153 · Cited by 15 · see citing works
Antecedent Aspirin Use Is Associated with Less Severe Symptoms on Admission for Ischemic Stroke
Nelson, S. E., Cloonan, L. K., Kanakis, A. S., Fitzpatrick, K. M., Shideler, K., Perilla, A. S. P., Furie, K. L., & Rost, N. S. (2016) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2016.06.032 · Cited by 3 · see citing works
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Rost, N. S., Brodtmann, A. G., Pase, M. P., van Veluw, S. J., Biffi, A., Duering, M., Hinman, J. D., & Dichgans, M. (2022) · Circulation Research · doi:10.1161/circresaha.122.319951 · Cited by 837 · see citing works
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Bonkhoff, A. K., Schirmer, M. D., Bretzner, M., Hong, S., Regenhardt, R. W., Brudfors, M., Donahue, K., Nardin, M., Dalca, A. V., Giese, A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23492-3 · Cited by 102 · see citing works
Self-citationFunctional networks of the brain: from connectivity restoration to dynamic integration
Hramov, A. E., Frolov, N. S., Maksimenko, V. A., Kurkin, S., Kazantsev, V., & Pisarchik, A. N. (2020) · Physics-Uspekhi · doi:10.3367/ufne.2020.06.038807 · Cited by 96 · see citing works
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Bonkhoff, A. K., Schirmer, M. D., Bretzner, M., Etherton, M. R., Donahue, K., Tuozzo, C., Nardin, M., Giese, A., Wu, O., Calhoun, V. D., et al. (2021) · Human Brain Mapping · doi:10.1002/hbm.25366 · Cited by 80 · see citing works
Self-citationBonkhoff, A. K., Hong, S., Bretzner, M., Schirmer, M. D., Regenhardt, R. W., Arsava, E. M., Donahue, K., Nardin, M., Dalca, A. V., Giese, A., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200926 · Cited by 58 · see citing works
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Fox, F. A. U., Diers, K., Lee, H. L., Mayr, A. J., Reuter, M., Breteler, M. M. B., & Aziz, N. A. (2022) · Neurology · doi:10.1212/wnl.0000000000200884 · Cited by 39 · see citing works
Schirmer, M. D., Venkataraman, A., Rekik, I., Kim, M., Mostofsky, S. H., Nebel, M. B., Rosch, K. S., Seymour, K. E., Crocetti, D., Irzan, H., et al. (2021) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · Cited by 27 · see citing works
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Egger, P., Evangelista, G. G., Koch, P., Park, C.-H., Levin-Gleba, L., Girard, G., Beanato, E., Lee, J., Choirat, C., Guggisberg, A. G., et al. (2021) · Stroke · doi:10.1161/strokeaha.120.031541 · Cited by 21 · see citing works
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Rajashekar, D., Wilms, M., Hecker, K. G., Hill, M. D., Dukelow, S. P., Fiehler, J., & Forkert, N. D. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00854 · Cited by 10 · see citing works
Moretti, P., & Hütt, M. ‐. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1919785117 · Cited by 9 · see citing works
Wang, L., Xu, X., Lau, K. K., Li, L. S. W., Wong, Y., Yau, C. S. F., Mak, H. K. F., & Hui, E. S. K. (2021) · Brain Research · doi:10.1016/j.brainres.2021.147441 · Cited by 8 · see citing works
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Schlemm, E., Jensen, M., Kuceyeski, A. F., Jamison, K. W., Ingwersen, T., Mayer, C., Königsberg, A., Boutitie, F., Ebinger, M., Endres, M., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.26073 · Cited by 4 · see citing works
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Self-citationSchirmer, M. D., & Chung, A. W. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-32391-2_6 · Cited by 3 · see citing works
Self-citationChung, A. W., & Schirmer, M. D. (2019) · DZNE Pub · Cited by 3 · see citing works
Self-citationChung, A. W., & Schirmer, M. D. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-32391-2_13 · Cited by 1 · see citing works
Self-citationSchirmer, M. D., Venkataraman, A., Rekik, I., Kim, M., Mostofsky, S. H., Nebel, M. B., Rosch, K. S., Seymour, K. E., Crocetti, D., Irzan, H., et al. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.101972 · Cited by 1 · see citing works
Self-citationBonkhoff, A. K., Rost, N. S., & Schirmer, M. D. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-85280-7.00022-1 · Cited by 1 · see citing works
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Self-citationIkonnikova, S. A., & Koltsova, E. A. (2024) · S S Korsakov Journal of Neurology and Psychiatry · doi:10.17116/jnevro202412412246
Zhang, H., Li, M., Liu, W., & Yuan, H. (2025) · Expert Opinion on Drug Safety · doi:10.1080/14740338.2025.2490847
- Authors
- Schirmer, M. D., Ktena, S. I., Nardin, M. J., Donahue, K. L., Giese, A.-K., Etherton, M. R., Wu, O., & Rost, N. S.
- Affiliations
- Harvard University (US)
- Imperial College London (GB)
- Massachusetts General Hospital (US)
- Corresponding author
- Schirmer, Markus D.
- Venue
- Frontiers in Neurology
- Publisher
- Frontiers Media SA
- Published
- 2019-09-10
- Volume
- 10
- Pages
- 956-956
- ISSN
- 1664-2295 (ISSN-L)
- PMC
- PMC6748157
- OpenAlex
- W2969705773
- Cited by
- 27
- References
- 34
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 5 · 2021: 8 · 2020: 4 · 2019: 4
- FWCI
- 4.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Neurology (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DZNE Pub (submittedVersion, cc-by)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by)
- Funders
- National Institute of Neurological Disorders and Stroke (K23NS064052, R01NS082285, R01NS086905)
- Horizon 2020 Framework Programme (753896)
- Henrietta B. and Frederick H. Bugher Foundation
- Topics
- Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- rich club, acute ischemic stroke, functional outcome, stroke outcome prediction, biomarkers, human connectome, diffusion-weighted imaging, NIHSS, modified Rankin Scale, white matter microstructure
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