Amyloid burden and metabolic function in early-onset Alzheimer’s disease: parietal lobe involvement.
Abstract
Alzheimer's disease with early onset often presents with a distinct cognitive profile, potentially reflecting a different distribution of underlying neuropathology. The purpose of this study was to examine the relationships between age and both in vivo fibrillary amyloid deposition and glucose metabolism in patients with Alzheimer's disease. Dynamic [(11)C]Pittsburgh compound-B (90 min) and static [(18)F]fluorodeoxyglucose (15 min) scans were obtained in 100 patients with Alzheimer's disease and 20 healthy controls. Parametric non-displaceable binding potential images of [(11)C]Pittsburgh compound-B and standardized uptake value ratio images of [(18)F]fluorodeoxyglucose were generated using cerebellar grey matter as reference tissue. Nine [(11)C]Pittsburgh compound-B-negative patients were excluded. The remaining patients were categorized into younger (n=45, age: 56 ± 4 years) and older (n=46, age: 69 ± 5 years) groups, based on the median age (62 years) at time of diagnosis. Younger patients showed more severe impairment on visuo-spatial function, attention and executive function composite scores (P<0.05), while we found a trend towards poorer memory performance for older patients (P=0.11). Differences between groups were assessed using a general linear model with repeated measures (gender adjusted) with age as between subjects factor, region (frontal, temporal, parietal and occipital and posterior cingulate cortices) as within subjects factor and [(11)C]Pittsburgh compound-…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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 amyloid PET studies, EOAD patients have exhibited higher amyloid burden in the parietal cortex, basal ganglia, and thalamus.
“In amyloid PET studies, EOAD patients have exhibited higher amyloid burden in the parietal cortex (Ossenkoppele et al., 2012), basal ganglia, and thalamus (Cho et al., 2013b).”
From Effects of Alzheimer’s and Vascular Pathologies on Structural Connectivity in Early- and Late-Onset Alzheimer’s Disease (2021) · cites this paper as Ossenkoppele et al., 2012
Cites
Buckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140 · see citing works
Early-onset Alzheimer’s disease is associated with greater pathologic burden.
Marshall, G. A., Fairbanks, L. A., Tekin, S., Vinters, H. V., & Cummings, J. L. (2007) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988706297086 · Cited by 143 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Ossenkoppele, R., Pijnenburg, Y. A. L., Perry, D. C., Cohn-Sheehy, B. I., Scheltens, N. M. E., Vogel, J. W., Kramer, J. H., van der Vlies, A. E., Joie, R. L., Rosen, H. J., et al. (2015) · Brain · doi:10.1093/brain/awv191 · Cited by 548 · see citing works
Self-citationThe human connectome in Alzheimer disease — relationship to biomarkers and genetics
Yu, M., Sporns, O., & Saykin, A. J. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00529-1 · Cited by 265 · see citing works
ATN classification and clinical progression in subjective cognitive decline: The SCIENCe project
Ebenau, J. L., Timmers, T., Wesselman, L. M. P., Verberk, I. M. W., Verfaillie, S. C. J., Slot, R. E. R., van Harten, A. C., Teunissen, C. E., Barkhof, F., van den Bosch, K. A., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000009724 · Cited by 191 · see citing works
Self-citationPrediction of dementia in MCI patients based on core diagnostic markers for Alzheimer disease
Prestia, A., Caroli, A., van der Flier, W. M., Ossenkoppele, R., Van Berckel, B., Barkhof, F., Teunissen, C. E., Wall, A. E., Carter, S. F., Schöll, M., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e3182872830 · Cited by 184 · see citing works
Self-citationDistinct 18F-AV-1451 tau PET retention patterns in early- and late-onset Alzheimer’s disease
Schöll, M., Ossenkoppele, R., Strandberg, O., Palmqvist, S., study, T. S. B., Jögi, J., Ohlsson, T., Smith, R., & Hansson, O. (2017) · Brain · doi:10.1093/brain/awx171 · Cited by 180 · see citing works
Self-citationLocal and distant relationships between amyloid, tau and neurodegeneration in Alzheimer's Disease
Iaccarino, L., Tammewar, G., Ayakta, N., Baker, S. L., Bejanin, A., Boxer, A. L., Gorno-Tempini, M. L., Janabi, M., Kramer, J. H., Lazaris, A., et al. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.09.016 · Cited by 165 · see citing works
Self-citationChételat, G., Ossenkoppele, R., Villemagne, V. L., Perrotin, A., Landeau, B., Mézenge, F., Jagust, W. J., Dore, V., Miller, B. L., Egret, S., et al. (2016) · Brain · doi:10.1093/brain/aww159 · Cited by 80 · see citing works
Self-citationDaulatzai, M. A. (2015) · Journal of Neural Transmission · doi:10.1007/s00702-015-1404-6 · Cited by 63 · see citing works
Louwersheimer, E., Keulen, M. A., Steenwijk, M. D., Wattjes, M. P., Jiskoot, L. C., Vrenken, H., Teunissen, C. E., van Berckel, B. N. M., van der Flier, W. M., Scheltens, P., et al. (2016) · Journal of Alzheimer's Disease · doi:10.3233/jad-150812 · Cited by 46 · see citing works
Self-citationWhite matter microstructural damage in Alzheimer's disease at different ages of onset
Canu, E., Agosta, F., Spinelli, E. G., Magnani, G., Marcone, A., Scola, E., Falautano, M., Comi, G., Falini, A., & Filippi, M. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.03.026 · Cited by 42 · see citing works
Regional associations of white matter hyperintensities and early cortical amyloid pathology
Lorenzini, L., Ansems, L. T., Lopes Alves, I., Ingala, S., Vállez García, D., Tomassen, J., Sudre, C., Salvadó, G., Shekari, M., Operto, G., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac150 · Cited by 36 · see citing works
Self-citationLee, W. J., Yoon, C. W., Kim, S.-W., Jeong, H. J., Seo, S., Na, D. L., Noh, Y., & Seong, J.-K. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.606600 · Cited by 12 · see citing works
- Authors
- Ossenkoppele, R., Zwan, M. D., Tolboom, N., van Assema, D. M. E., Adriaanse, S. F., Kloet, R. W., Boellaard, R., Windhorst, A. D., Barkhof, F., Lammertsma, A. A., Scheltens, P., van der Flier, W. M., & van Berckel, B. N. M.
- Affiliations
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-05-03
- Volume
- 135
- Issue
- 7
- Pages
- 2115-2125
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2150480085
- Cited by
- 123
- References
- 2
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 5 · 2023: 4 · 2022: 8 · 2021: 9 · 2020: 6 · 2019: 8 · 2018: 4 · 2017: 20 · 2016: 12 · 2015: 16 · 2014: 8 · 2013: 10 · 2012: 2
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- American Health Assistance Foundation
- Center for Translational Molecular Medicine (02N-101)
- Internationale Stichting Alzheimer Onderzoek (05512)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- early-onset Alzheimer's disease, amyloid deposition, glucose hypometabolism, parietal lobe, Pittsburgh compound B, FDG-PET, non-displaceable binding potential, regional cerebral glucose metabolism, age at diagnosis, cognitive profile, brain atrophy, posterior cingulate cortex, frontal lobe, temporal lobe, occipital lobe
- MeSH terms
- Aged, Alzheimer Disease, Amyloid, Aniline Compounds, Apolipoproteins E, Brain Mapping, Carbon Radioisotopes, Cognition Disorders, Female, Genotype, Glucose, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Parietal Lobe, Thiazoles, Case-Control Studies, Age of Onset, Radiopharmaceuticals, Fluorodeoxyglucose F18, Positron-Emission Tomography
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
