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Dynamic 11 C-PiB PET Shows Cerebrospinal Fluid Flow Alterations in Alzheimer Disease and Multiple Sclerosis
Open accessPublished version of a preprint
Abstract
Cerebrospinal fluid (CSF) plays an important role in solute clearance and maintenance of brain homeostasis. 11C-Pittsburgh compound B (PiB) PET was recently proposed as a tool for detection of CSF clearance alterations in Alzheimer disease. The current study investigates the magnitude of 11C-PiB PET signal in the lateral ventricles of an independent group of Alzheimer and mild cognitive impairment subjects. We have also evaluated multiple sclerosis as a model of disease with CSF clearance alterations without amyloid-β tissue accumulation. Methods: A set of 11 Alzheimer and 12 mild cognitive impairment subjects and a set of 20 multiple sclerosis subjects with matched controls underwent MRI and dynamic 11C-PiB PET. Lateral ventricle regions of interest were generated manually from MRI data. PET data were analyzed using cerebellum or a supervised reference region for the Alzheimer and multiple sclerosis data sets, respectively. The magnitude of 11C-PiB signal in the lateral ventricles was calculated as area under the curve from 35 to 80 min and SUV ratio (SUVR) from 50 to 70 min. Compartmental modeling analysis was performed on a separate data set containing 11 Alzheimer and matched control subjects; this analysis included an arterial input function, to further understand the kinetics of the lateral ventricular 11C-PiB signal. Results: ANOVA revealed significant group differences in lateral ventricular SUVR across the Alzheimer, mild cognitive impairment, and healthy control groups (P = 0.004). Pairwise comparisons revealed significantly lower lateral ventricular SUVR in Alzheimer subjects than in healthy controls (P < 0.001) or mild cognitive impairment subjects (P = 0.029). Lateral ventricular SUVR was significantly lower in multiple sclerosis subjects than in healthy controls (P = 0.008). Compartmental modeling analysis revealed significantly lower uptake rates of 11C-PiB signal from blood (P = 0.005) and brain tissue (P = 0.004) to the lateral ventricles and significantly lower 11C-PiB signal clearance out of the lateral ventricles (P = 0.002) in Alzheimer subjects than in healthy controls. Conclusion: These results indicate that dynamic 11C-PiB PET can be used to observe pathologic changes in CSF dynamics. We have replicated previous work demonstrating CSF clearance deficits in Alzheimer disease associated with amyloid-β deposits and have extended the observations to include ventricular CSF clearance deficits in mild cognitive impairment and multiple sclerosis.
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“AD patients show altered CSF dynamics, thereby inducing impairments in CSF-dependent Aβ clearance and consequent pathological Aβ accumulation [414].”
From Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease (2020) · cites this paper as [414]
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Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,012
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,852
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,007
Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS)
Kurtzke, J. F. (1983) · Neurology · doi:10.1212/wnl.33.11.1444 · Cited by 15,011
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.015 · Cited by 11,314
Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria
Polman, C. H., Reingold, S. C., Banwell, B., Clanet, M., Cohen, J. A., Filippi, M., Fujihara, K., Havrdova, E., Hutchinson, M., Kappos, L., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22366 · Cited by 9,802
Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.015 · Cited by 8,868 · cited 2×
“org) snake tool (37), following previously described guidelines for lateral ventricle extraction (38).”
MethodVALIDITY OF THE TRAIL MAKING TEST AS AN INDICATOR OF ORGANIC BRAIN DAMAGE
Reitan, R. M. (1958) · Perceptual and Motor Skills · doi:10.2466/pms.1958.8.3.271 · Cited by 8,167
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Research works printed but not linked: 1
- Gunn, 2016, Molecular imaging and kinetic analysis toolbox (MIAKAT): a quantitative software package for the analysis of PET neuroimaging data [abstract], J Nucl Med., 57(suppl), 1928
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Items 101–120 of 120
Zhou, L., Li, Y., & de Leon, M. J. (2025) · PET Clinics · doi:10.1016/j.cpet.2025.04.006
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Спирин, Н. Н., Krytskova, D. S., & Aksenova, A. S. (2025) · Patient-Oriented Medicine and Pharmacy · doi:10.37489/2949-1924-0086
Cerebrospinal fluid flow and clearance driven by lateral ventricle volume oscillationsPreprint
Neumaier, V., Bonhoeffer, M., Thalhammer, M., Schulz, J., Hoffmann, G., Zimmermann, J., Brandl, F., Brendel, M., Yakushev, I. Y., Priller, J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.20.683529 · Cited by 2
Yoo, S., Reddy, A., Carroll, W., & Ploypradith, K. (2025) · PLoS ONE · doi:10.1371/journal.pone.0336114 · Cited by 1
From brain physiology to brain physics
Rognes, M. E., Mardal, K., Valnes, L. M., & Vinje, V. (2025) · Simula SpringerBriefs on computing · doi:10.1007/978-3-032-00679-0_1
Causemann, M., Vinje, V., & Rognes, M. E. (2022) · Figshare · doi:10.6084/m9.figshare.21456143
Khalafi, M., Rashnoudi, A. R., Rahmani, F., Javanmardi, P., Panahi, P., Kiani Shahvandi, H., Tajik, M. H., Soleimantabar, H., & Shirbandi, K. (2023) · Figshare · doi:10.6084/m9.figshare.22604738
Nörolojik Hastalıklarda Gilenfatik Sistemin Rolü: Güncel Bulgular ve Geleceğe Yönelik Araştırmalar
Totuk, Ö., Çetin, G. C., & Şahin, Ş. (2025) · Arşiv Kaynak Tarama Dergisi · doi:10.17827/aktd.1533741
A Cross Talk Between Natural Biomolecules and Neuroglia
Iman, T., Akram, R., Tehreem, A., Asghar, A., Mustafa, M., & Iqbal, J. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-4139-2.ch001
Ventricular enlargement is associated with early Alzheimer’s disease pathophysiology
Hosseini, S. A., Aumont, É., Rahmouni, N., Woo, M. S., Macedo, A. C., Hall, B. J., Trudel, L., Chan, T., Arias, J. F., Wang, Y.-T., et al. (2026) · Brain Communications · doi:10.1093/braincomms/fcag066
Along-tract and across-plexus propagation of tissue damage in multiple sclerosis
Ricigliano, V. A. G. (2021) · theses.fr (ABES) · doi:10.70675/d9e05903zbf45z4f3cz9290z50f80f3e4ead
Hypertension is related to a slower radiotracer removal from lateral ventriclesPreprint
Gniadek-Olejniczak, K. A., de Leon, M. J., Li, Y., Butler, T., Wang, X., Manchineella, S., Mardy, C., Rusinek, H., Pena, J., Ma, Y., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.07.723657
Haverinen, J., Ryytty, M., Rusanen, H., Krüger, J., Martikainen, M. H., Kananen, J., Raitamaa, L., Huotari, N., Järvelä, M., Tuunanen, J., et al. (2026) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x261453802
Neuroanatomical substrates of perivascular space index: a morphometric and tractography study
Wang, X., Zhang, Q., Su, P., Lu, W., Chen, G., Cui, P., Sheng, M., & Yin, S. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1848053
Yin, H., Deng, Y., Lu, Z., Jiang, Y., Zuo, C. Y., Li, J., Guo, L., Ying, B., Battaglia, G., Tian, X., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71606
Meinhold, L., Kaandorp, M., Shang, Z., Häuselmann, M., Volk, C., Treyer, V., Huber, R., Michels, L., Gruber, E., Studer, S. T., et al. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.122096
Li, L., Ding, G., Zhang, L., Luo, H., Boyd, E., Li, Q., Kaur, J., Bohara, M., Chopp, M., Zhang, Z. G., et al. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1788077
Calvano, A., & van Wamelen, D. J. (2026) · International review of neurobiology · doi:10.1016/bs.irn.2026.08.017
Dynamic 18F-FDG PET characterizes age-related changes in fitted ventricular FDG kinetics in humans
Zhou, Z., Zhao, T., Wang, H., Benites, A. C., Gardus, J. D., Wen, Q., Feng, Y., DeLorenzo, C., Parsey, R. V., & Huang, C. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1395
Glymphatic dysfunction in intracranial hemorrhage and neurodegenerative disease
Gonzalez, M., Kent, B., DeYoung, C. L., Dagra, A., & Lucke-Wold, B. P. (2026) · Academia Biology · doi:10.20935/acadbiol8557
Metadata
- Authors
- Schubert, J. J., Veronese, M., Marchitelli, L., Bodini, B., Tonietto, M., Stankoff, B., Brooks, D. J., Bertoldo, A., Edison, P., & Turkheimer, F. E.
- Affiliations
- King's College London (GB)
- Institut des Sciences Moléculaires (FR)
- Imperial College London (GB)
- University of Padua (IT)
- ORCID
- Venue
- Journal of Nuclear Medicine
- Publisher
- Society of Nuclear Medicine
- Published
- 2019-03-08
- Volume
- 60
- Issue
- 10
- Pages
- 1452-1460
- ISSN
- 0161-5505 (ISSN-L)
- 2159-662X
- PMC
- PMC6785797
- OpenAlex
- W2903977272
- Cited by
- 121
- References
- 79
- Citations by year
- 2026: 12 · 2025: 28 · 2024: 21 · 2023: 13 · 2022: 19 · 2021: 16 · 2020: 11 · 2019: 1
- FWCI
- 5.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Nuclear Medicine (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- HAL (submittedVersion)
- Spiral (Imperial College London) (submittedVersion)
- Funders
- Eli Lilly and Company
- Pfizer
- GlaxoSmithKline
- Fondation pour l'Aide à la Recherche sur la Sclérose en Plaques
- European Committee for Treatment and Research in Multiple Sclerosis
- National Institute for Health and Care Research
- Agence Nationale de la Recherche (ANR-10-IAHU-0006)
- Institut National de la Santé et de la Recherche Médicale
- Novo Nordisk
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives
- Association Européenne contre les Leucodystrophies
- Medical Research Council
- Direction de l’hospitalisation et de l’offre de Soins
- Topics
- Health Sciences › Medicine › Clinical Neurology › Cerebrospinal fluid and hydrocephalus
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- [11C]PIB, Pittsburgh compound B, cerebrospinal fluid flow, cerebrospinal fluid clearance, Alzheimer's disease, multiple sclerosis, mild cognitive impairment, lateral ventricle, amyloid-beta, compartmental modeling, dynamic PET, cerebrospinal fluid dynamics, blood-brain barrier permeability, arterial input function, standardized uptake value ratio
- MeSH terms
- Adult, Aged, Algorithms, Alzheimer Disease, Aniline Compounds, Brain, Cerebrospinal Fluid, Female, Homeostasis, Humans, Kinetics, Magnetic Resonance Imaging, Male, Middle Aged, Multiple Sclerosis, Thiazoles, Reproducibility of Results, Case-Control Studies, Databases, Factual, Radiopharmaceuticals, Area Under Curve, Positron-Emission Tomography, Cognitive Dysfunction
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