Functional network segregation is associated with attenuated tau spreading in Alzheimer's disease
Open accessAbstract
Introduction: Lower network segregation is associated with accelerated cognitive decline in Alzheimer's disease (AD), yet it is unclear whether less segregated brain networks facilitate connectivity‐mediated tau spreading. Methods: We combined resting state functional magnetic resonance imaging (fMRI) with longitudinal tau positron emission tomography (PET) in 42 betamyloid‐negative controls and 81 amyloid beta positive individuals across the AD spectrum. Network segregation was determined using resting‐state fMRI–assessed connectivity among 400 cortical regions belonging to seven networks. Results: AD subjects with higher network segregation exhibited slower brain‐wide tau accumulation relative to their baseline entorhinal tau PET burden (typical onset site of tau pathology). Second, by identifying patient‐specific tau epicenters with highest baseline tau PET we found that stronger epicenter segregation was associated with a slower rate of tau accumulation in the rest of the brain in relation to baseline epicenter tau burden. Discussion: Our results indicate that tau spreading is facilitated by a more diffusely organized connectome, suggesting that brain network topology modulates tau spreading in AD. Highlights: Higher brain network segregation is associated with attenuated tau pathology accumulation in Alzheimer's disease (AD). A patient‐tailored approach allows for the more precise localization of tau epicenters. The functional segregation of subject‐specific tau epicenters predicts the rate of future tau accumulation.
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Higher brain network segregation may attenuate cortical tau propagation.
“Higher brain network segregation may also attenuate cortical tau propagation [44].”
From Effects of APOE2 and APOE4 on brain microstructure in older adults: modification by age, sex, and cognitive status (2024) · cites this paper as [44]
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1 retracted
Dementia prevention, intervention, and care: 2020 report of the Lancet Commission
Livingston, G., Huntley, J., Sommerlad, A., Ames, D., Ballard, C., Banerjee, S., Brayne, C., Burns, A., Cohen-Mansfield, J., Cooper, C., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30367-6 · Cited by 10,430 · cited 1× · see citing works
“42 Here, life span studies will be needed to address potential genetic, 43 lifestyle, 40,44 and age-specific factors 45 that influence segregation, which will be important to assess whether brain network segregation can in fact be modulated to potentially attenuate tau accumulation and spreading in…”
RetractedNeuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · see citing works
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806 · 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
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.048 · Cited by 3,748 · see citing works
Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI
Schaefer, A., Kong, R., Gordon, E. M., Laumann, T. O., Zuo, X.-N., Holmes, A. J., Eickhoff, S. B., & Yeo, B. T. T. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx179 · Cited by 3,657 · see citing works
Cognitive reserve in ageing and Alzheimer's disease
Stern, Y. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70191-6 · Cited by 3,557 · cited 1× · see citing works
“39 In line with evidence that tau is the key driver of cognitive decline in AD, 3–5 studies have related higher education to higher segregation in older adults 40 while stronger vascular brain changes have been linked to lower brain network segregation, 41 which may explain why patients with…”
Predicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307 · see citing works
Propagation of Tau Pathology in a Model of Early Alzheimer's Disease
de Calignon, A., Polydoro, M., Suárez-Calvet, M., William, C., Adamowicz, D. H., Kopeikina, K. J., Pitstick, R., Sahara, N., Ashe, K. H., Carlson, G. A., et al. (2012) · Neuron · doi:10.1016/j.neuron.2011.11.033 · Cited by 1,427 · see citing works
Sporns, O., & Betzel, R. F. (2016) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033634 · Cited by 1,334 · see citing works
PET Imaging of Tau Deposition in the Aging Human Brain
Schöll, M., Lockhart, S. N., Schonhaut, D. R., O’Neil, J. P., Janabi, M., Ossenkoppele, R., Baker, S. L., Vogel, J. W., Faria, J., Schwimmer, H. D., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.028 · Cited by 1,214 · see citing works
Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer’s disease
Ossenkoppele, R., Schonhaut, D. R., Schöll, M., Lockhart, S. N., Ayakta, N., Baker, S. L., O’Neil, J. P., Janabi, M., Lazaris, A., Cantwell, A., et al. (2016) · Brain · doi:10.1093/brain/aww027 · Cited by 1,185 · see citing works
Adult hippocampal neurogenesis and its role in Alzheimer’s disease
Mu, Y., & Gage, F. H. (2011) · Molecular Neurodegeneration · doi:10.1186/1750-1326-6-85 · Cited by 1,021 · see citing works
Dominantly Inherited Alzheimer Network, Preische, O., Schultz, S. A., Apel, A., Kuhle, J., Kaeser, S. A., Barro, C., Gräber, S., Kuder-Buletta, E., LaFougere, C., et al. (2019) · Nature Medicine · doi:10.1038/s41591-018-0304-3 · Cited by 927 · see citing works
Decreased segregation of brain systems across the healthy adult lifespan
Chan, M. Y., Park, D. C., Savalia, N. K., Petersen, S. E., & Wig, G. S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1415122111 · Cited by 867 · see citing works
Betzel, R. F., Byrge, L., He, Y., Goñi, J., Zuo, X.-N., & Sporns, O. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.067 · Cited by 807 · see citing works
Age-related changes in modular organization of human brain functional networks
Meunier, D., Achard, S., Morcom, A., & Bullmore, E. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.062 · Cited by 756 · see citing works
Four distinct trajectories of tau deposition identified in Alzheimer’s disease
Initiative, T. A. D. N., Vogel, J. W., Young, A. L., Oxtoby, N. P., Smith, R., Ossenkoppele, R., Strandberg, O. T., La Joie, R., Aksman, L. M., Grothe, M. J., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01309-6 · Cited by 741 · see citing works
Amyloid Deposition, Hypometabolism, and Longitudinal Cognitive Decline
Landau, S. M., Mintun, M., Joshi, A. D., Koeppe, R., Petersen, R. C., Aisen, P., Weiner, M., & Jagust, W. J. (2012) · Annals of Neurology · doi:10.1002/ana.23650 · Cited by 723 · see citing works
Tau PET imaging in neurodegenerative tauopathies—still a challenge
Leuzy, A., Chiotis, K., Lemoine, L., Gillberg, P.-G., Almkvist, O., Rodriguez-Vieitez, E., & Nordberg, A. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0342-8 · Cited by 628 · see citing works
Marquié, M., Normandin, M. D., Vanderburg, C. R., Costantino, I. M., Bien, E. A., Rycyna, L. G., Klunk, W. E., Mathis, C. A., Ikonomovic, M. D., Debnath, M. L., et al. (2015) · Annals of Neurology · doi:10.1002/ana.24517 · Cited by 615 · see citing works
La Joie, R., Visani, A. V., Baker, S. L., Brown, J. A., Bourakova, V., Cha, J., Chaudhary, K., Edwards, L., Iaccarino, L., Janabi, M., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aau5732 · Cited by 612 · see citing works
Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease
Vogel, J. W., Iturria‐Medina, Y., Strandberg, O. T., Smith, R. A., Levitis, E., Evans, A. C., Hansson, O., Initiative, A. D. N., Weiner, M. W., Aisen, P., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15701-2 · Cited by 521 · see citing works
Comparison of multiple tau-PET measures as biomarkers in aging and Alzheimer's disease
Maass, A., Landau, S., Baker, S. L., Horng, A., Lockhart, S. N., La Joie, R., Rabinovici, G. D., & Jagust, W. J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.05.058 · Cited by 462 · see citing works
Ahmed, Z., Cooper, J., Murray, T. K., Garn, K., McNaughton, E., Clarke, H., Parhizkar, S., Ward, M. A., Cavallini, A., Jackson, S., et al. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1254-6 · Cited by 460 · see citing works
Longitudinal tau PET in ageing and Alzheimer’s disease
Jack, C. R., Wiste, H. J., Schwarz, C. G., Lowe, V. J., Senjem, M. L., Vemuri, P., Weigand, S. D., Therneau, T. M., Knopman, D. S., Gunter, J. L., et al. (2018) · Brain · doi:10.1093/brain/awy059 · Cited by 452 · see citing works
Segregated Systems of Human Brain Networks
Wig, G. S. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.09.006 · Cited by 351 · see citing works
Functional brain architecture is associated with the rate of tau accumulation in Alzheimer’s disease
Franzmeier, N., Neitzel, J., Rubinski, A., Smith, R. A., Strandberg, O. T., Ossenkoppele, R., Hansson, O., Ewers, M., Initiative, A. D. N., Weiner, M. W., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-14159-1 · Cited by 336 · see citing works
Self-citationOssenkoppele, R., Smith, R., Mattsson-Carlgren, N., Groot, C., Leuzy, A., Strandberg, O., Palmqvist, S., Olsson, T., Jögi, J., Stormrud, E., et al. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2021.1858 · Cited by 311 · see citing works
Considerations and code for partial volume correcting [ 18 F]-AV-1451 tau PET data
Baker, S. L., Maaß, A., & Jagust, W. J. (2017) · Data in Brief · doi:10.1016/j.dib.2017.10.024 · Cited by 298 · see citing works
Cullen, N. C., Leuzy, A., Janelidze, S., Palmqvist, S., Svenningsson, A. L., Stomrud, E., Dage, J. L., Mattsson, N., & Hansson, O. (2021) · Nature Communications · doi:10.1038/s41467-021-23746-0 · Cited by 270 · see citing works
Longitudinal tau accumulation and atrophy in aging and alzheimer disease
Harrison, T. M., Joie, R. L., Maaß, A., Baker, S. L., Swinnerton, K. N., Fenton, L. E., Mellinger, T. J., Edwards, L., Pham, J. Q., Miller, B. L., et al. (2018) · Annals of Neurology · doi:10.1002/ana.25406 · Cited by 262 · see citing works
Synaptic Contacts Enhance Cell-to-Cell Tau Pathology Propagation
Calafate, S., Buist, A., Miśkiewicz, K., Vijayan, V. A., Daneels, G., Strooper, B. D., de Wit, J., Verstreken, P., & Moechars, D. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.04.043 · Cited by 257 · see citing works
Tau burden and the functional connectome in Alzheimer’s disease and progressive supranuclear palsy
Cope, T., Rittman, T., Borchert, R. J., Jones, P. S., Vatansever, D., Allinson, K. S. J., Passamonti, L., Rodríguez, P. V., Bevan-Jones, W. R., O'Brien, J. T., et al. (2017) · Brain · doi:10.1093/brain/awx347 · Cited by 240 · see citing works
Functional connectivity associated with tau levels in ageing, Alzheimer’s, and small vessel disease
Franzmeier, N., Rubinski, A., Neitzel, J., Kim, Y., Damm, A., Na, D. L., Kim, H. J., Lyoo, C. H., Cho, H., Finsterwalder, S., et al. (2019) · Brain · doi:10.1093/brain/awz026 · Cited by 234 · see citing works
Self-citationLace, G., Savva, G. M., Forster, G., de Silva, R., Brayne, C., Matthews, F. E., Barclay, J. J., Dakin, L., Ince, P. G., & Wharton, S. B. (2009) · Brain · doi:10.1093/brain/awp059 · Cited by 231 · see citing works
Patient-centered connectivity-based prediction of tau pathology spread in Alzheimer’s disease
Franzmeier, N., Dewenter, A., Frontzkowski, L. K., Dichgans, M., Rubinski, A., Neitzel, J., Smith, R. A., Strandberg, O. T., Ossenkoppele, R., Büerger, K., et al. (2020) · Science Advances · doi:10.1126/sciadv.abd1327 · Cited by 169 · see citing works
Self-citationCortical tau deposition follows patterns of entorhinal functional connectivity in aging
Adams, J. N., Maass, A., Harrison, T. M., Baker, S. L., & Jagust, W. J. (2019) · eLife · doi:10.7554/elife.49132 · Cited by 160 · see citing works
Biel, D., Brendel, M., Rubinski, A., Büerger, K., Janowitz, D., Dichgans, M., Franzmeier, N., & Initiative, A. D. N. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00880-x · Cited by 158 · see citing works
Self-citationStructural basis of large-scale functional connectivity in the mouse
Grandjean, J., Zerbi, V., Balsters, J. H., Wenderoth, N., & Rudin, M. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0438-17.2017 · Cited by 151 · see citing works
Tau positron emission tomography imaging in tauopathies: The added hurdle of off-target binding
Lemoine, L., Leuzy, A., Chiotis, K., Rodriguez-Vieitez, E., & Nordberg, A. (2018) · Alzheimer's & Dementia · doi:10.1016/j.dadm.2018.01.007 · Cited by 144 · see citing works
Chan, D., Shafto, M., Kievit, R., Matthews, F., Spink, M., Valenzuela, M., & Henson, R. N. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.06.012 · Cited by 141 · see citing works
Segregation of functional networks is associated with cognitive resilience in Alzheimer’s disease
Ewers, M., Luan, Y., Frontzkowski, L. K., Neitzel, J., Rubinski, A., Dichgans, M., Hassenstab, J. J., Gordon, B. A., Chhatwal, J. P., Levin, J., et al. (2021) · Brain · doi:10.1093/brain/awab112 · Cited by 141 · see citing works
Self-citationGenetic variants and functional pathways associated with resilience to Alzheimer’s disease
Dumitrescu, L. C., Mahoney, E. R., Mukherjee, S., Lee, M. L., Bush, W. S., Engelman, C. D., Lu, Q., Fardo, D. W., Trittschuh, E. H., Mez, J. B., et al. (2020) · Brain · doi:10.1093/brain/awaa209 · Cited by 140 · see citing works
Abhinav, K., Yeh, F.-C. F., Pathak, S., Suski, V. R., Lacomis, D., Friedlander, R. M., & Fernandez-Miranda, J. C. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2014.08.002 · Cited by 119 · see citing works
Franzmeier, N., Düzel, E., Jessen, F., Buerger, K., Levin, J., Duering, M., Dichgans, M., Haass, C., Suárez-Calvet, M., Fagan, A., et al. (2018) · Brain : a journal of neurology · doi:10.1093/brain/awy008 · Cited by 110 · see citing works
Self-citationVascular Risk and β ‐Amyloid Are Synergistically Associated with Cortical Tau
Rabin, J. S., Yang, H., Schultz, A. P., Hanseeuw, B. J., Hedden, T., Viswanathan, A., Gatchel, J. R., Marshall, G. A., Kilpatrick, E. P., Klein, H., et al. (2018) · Annals of Neurology · doi:10.1002/ana.25399 · Cited by 109 · see citing works
The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory
Franzmeier, N., Rubinski, A., Neitzel, J., Ewers, M., (ADNI), T. A. D. N. I., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09564-5 · Cited by 109 · see citing works
Self-citationLongitudinal Changes in the Cerebral Cortex Functional Organization of Healthy Elderly
Chong, J. S. X., Ng, K. K., Tandi, J., Wang, C., Poh, J.-H., Lo, J. C.-Y., Chee, M. W. L., & Zhou, J. H. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1451-18.2019 · Cited by 105 · see citing works
Menopause Status Moderates Sex Differences in Tau Burden: A Framingham PET Study
Buckley, R. F., O’Donnell, A., McGrath, E. R., Jacobs, H. I. L., Lois, C., Satizábal, C. L., Ghosh, S., Rubinstein, Z. B., Murabito, J. M., Sperling, R. A., et al. (2022) · Annals of Neurology · doi:10.1002/ana.26382 · Cited by 101 · see citing works
Long-term prognosis and educational determinants of brain network decline in older adult individuals
Chan, M. Y., Han, L., Carreno, C. A., Zhang, Z., Rodriguez-Boerwinkle, R. M., LaRose, M., Hassenstab, J. J., & Wig, G. S. (2021) · Nature Aging · doi:10.1038/s43587-021-00125-4 · Cited by 92 · see citing works
Resting-State Network Topology Differentiates Task Signals across the Adult Life Span
Chan, M. Y., Alhazmi, F. H., Park, D. C., Savalia, N. K., & Wig, G. S. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2406-16.2017 · Cited by 91 · see citing works
Functional Parcellation of the Cerebral Cortex Across the Human Adult Lifespan
Han, L., Savalia, N. K., Chan, M. Y., Agres, P. F., Nair, A., & Wig, G. S. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy218 · Cited by 59 · see citing works
Franzmeier, N., Ossenkoppele, R., Brendel, M., Rubinski, A., Smith, R. A., Kumar, A., Mattsson, N., Strandberg, O. T., Duering, M., Büerger, K., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12371 · Cited by 55 · see citing works
Self-citationBrown, B. M., Rainey‐Smith, S. R., Doré, V., Peiffer, J. J., Burnham, S. C., Laws, S. M., Taddei, K., Ames, D. J., Masters, C. L., Rowe, C. C., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170998 · Cited by 52 · see citing works
Kong, T. S., Gratton, C., Low, K. A., Tan, C. H., Chiarelli, A. M., Fletcher, M. A., Zimmerman, B., Maclin, E. L., Sutton, B. P., Gratton, G., et al. (2020) · Network Neuroscience · doi:10.1162/netn_a_00110 · Cited by 44 · see citing works
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- Chan MY, Han L, Carreno CA, et al. Long-term prognosis and educa- tional determinants of brain network decline in older adult individuals. Nat Aging. 2021;1:1053-67.
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Reas, E. T., Triebswetter, C., Banks, S. J., & McEvoy, L. K. (2024) · Alzheimer's Research & Therapy · doi:10.1186/s13195-023-01380-w · Cited by 20 · see citing works
Sato, S. D., Shah, V. A., Fettrow, T., Hall, K. G., Tays, G. D., Cenko, E., Roy, A., Clark, D. J., Ferris, D. P., Hass, C. J., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121155 · Cited by 6 · see citing works
- Authors
- Steward, A., Biel, D., Brendel, M., Dewenter, A., Roemer, S., Rubinski, A., Luan, Y., Dichgans, M., Ewers, M., Franzmeier, N., & (ADNI), F. T. A. D. N. I.
- Affiliations
- LMU Klinikum (DE)
- German Center for Neurodegenerative Diseases (DE)
- Corresponding author
- Franzmeier, Nicolai
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2022-11-25
- Volume
- 19
- Issue
- 5
- Pages
- 2034-2046
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- OpenAlex
- W4310082819
- Cited by
- 39
- References
- 57
- Citations by year
- 2026: 10 · 2025: 15 · 2024: 8 · 2023: 6
- FWCI
- 3.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DZNE Pub (submittedVersion, cc-by-nc)
- Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion, cc-by-nc)
- Funders
- U.S. Department of Defense (U01 AG024904, W81XWH, W81XWH-12-2-, W81XWH-12, W81XWH1220012, AG024904)
- Alzheimer's Association (U01 AG024904, W81XWH-12-2-0012)
- Bristol-Myers Squibb (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Eli Lilly and Company (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Pfizer (AG024904, W81XWH-12-2-0012, U01 AG024904)
- Biogen (W81XWH-12-2-0012, U01 AG024904, AG024904)
- University of Southern California (W81XWH-12-2-0012, U01 AG024904)
- F. Hoffmann-La Roche (W81XWH-12-2-0012, AG024904, U01 AG024904)
- Meso Scale Diagnostics (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Alzheimer's Disease Neuroimaging Initiative (W81XWH-12-2–0012, U01AG024904, AG024904, W81XWH-12-2-)
- BioClinica (U01 AG024904, W81XWH-12-2-0012, AG024904)
- Novartis Pharmaceuticals Corporation (W81XWH-12-2-0012, U01 AG024904, AG024904)
- Northern California Institute for Research and Education (U01 AG024904, W81XWH-12-2-0012)
- Deutsche Forschungsgemeinschaft (EXC 2145, 390857198, 409/193-1 FUGG, INST 409/193‐1 FUGG)
- Eisai (W81XWH-12-2-0012, U01 AG024904, AG024904)
- Servier (AG024904, W81XWH-12-2-0012, U01 AG024904)
- H. Lundbeck A/S (U01 AG024904, AG024904, W81XWH-12-2-0012)
- IXICO (AG024904, W81XWH-12-2-0012, U01 AG024904)
- National Institutes of Health (3u01ag024904-10s2, W81XWH, W81XWH-12-2-0012, U01-AG024904, AG024904)
- Genentech (W81XWH-12-2-0012, AG024904, U01 AG024904)
- Canadian Institutes of Health Research (U01 AG024904, W81XWH-12-2-0012, 390857198)
- National Institute on Aging (U01-AG-024904)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, tau propagation
- MeSH terms
- Alzheimer Disease, Brain, Humans, Magnetic Resonance Imaging, Amyloid beta-Peptides, tau Proteins, Positron-Emission Tomography, Cognitive Dysfunction, Connectome
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