The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
Alzheimer's Disease Neurodegenerative Biomarkers Are Associated with Decreased Cognitive Function but Not β-Amyloid in Cognitively Normal Older Individuals
Open accessAbstract
β-Amyloid (Aβ) plaque deposition and neurodegeneration within temporoparietal and hippocampal regions may indicate increased risk of Alzheimer's disease (AD). This study examined relationships between AD biomarkers of Aβ and neurodegeneration as well as cognitive performance in cognitively normal older individuals. Aβ burden was quantified in 72 normal older human subjects from the Berkeley Aging Cohort (BAC) using [11 C] Pittsburgh compound B (PIB) positron emission tomography. In the same individuals, we measured hippocampal volume, as well as glucose metabolism and cortical thickness, which were extracted from a template of cortical AD-affected regions. The three functional and structural biomarkers were merged into a highly AD-sensitive multimodality biomarker reflecting neural integrity. In the normal older individuals, there was no association between elevated PIB uptake and either the single-modality or the multimodality neurodegenerative biomarkers. Lower neural integrity within the AD-affected regions and a control area (the visual cortex) was related to lower scores on memory and executive function tests; the same association was not found with PIB retention. The relationship between cognition and the multimodality AD biomarker was stronger in individuals with the highest PIB uptake. The findings indicate that neurodegeneration occurs within AD regions regardless of Aβ deposition and accounts for worse cognition in cognitively normal older people. The impact of neural integrity on cognitive functions is, however, enhanced in the presence of high Aβ burden for brain regions that are most affected in AD.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“By contrast, additional research has highlighted the fact that measures of neurodegeneration or neuronal injury that are commonly used in AD research—magnetic resonance imaging (MRI), fluoro-deoxyglucose (FDG) PET, and CSF total tau (T-tau)—are not specific for AD but rather are nonspecific indicators of damage that may derive from a variety of etiologies, for example, cerebrovascular injury [29].”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [29]
Experimental — accuracy not yet measuredIn the citing paper
“Our hypothesis, therefore, can accommodate a growing realization that for many subjects with suspected AD, or who have an increased risk of developing AD, what are currently considered downstream biomarker changes potentially precede upstream biomarker changes [206-213].”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [211]
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
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
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Cohen, P., Cohen, P., West, S. G., & Aiken, L. S. (2014) · Psychology Press eBooks · doi:10.4324/9781410606266 · Cited by 20,870
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
Development and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610
VALIDITY 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
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
Cited by
Sorted by citations
Items 101–150 of 150
Locus coeruleus catecholamines link neuroticism and vulnerability to tau pathology in aging
Parent, J. H., Ciampa, C. J., Harrison, T. M., Adams, J. N., Zhuang, K., Betts, M. J., Maaß, A., Winer, J. R., Jagust, W. J., & Berry, A. S. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119658 · Cited by 20
Self-citationNoguchi‐Shinohara, M., Shuta, K., Murakami, H., Mori, Y., Komatsu, J., Kobayashi, C., Hersch, S. M., Horie, K., & Ono, K. (2025) · Annals of Neurology · doi:10.1002/ana.27175 · Cited by 16
CSF total tau as a proxy of synaptic degeneration
Soares, C., Bellaver, B., Ferreira, P. C. L., Povala, G., Aguzzoli, C. S., Ferrari‐Souza, J. P., Zalzale, H., Lussier, F. Z., Rohden, F., Abbas, S., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-63545-5 · Cited by 19
Cerebrovascular disease in suspected non‐Alzheimer's pathophysiology and cognitive decline over time
Saridin, F. N., Chew, K. A., Reilhac, A., Gyanwali, B., Villaraza, S. G., Tanaka, T., Scheltens, P., van der Flier, W. M., Chen, C., & Hilal, S. (2022) · European Journal of Neurology · doi:10.1111/ene.15337 · Cited by 15
Pilozzi, A. R., Foster, S. L., Mischoulon, D., D, M. F. M., & Huang, X. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241512513 · Cited by 15
Hsieh, C., Hou, C., Zhu, Y., Lee, J. Y., Kohli, N., Gallagher, E. P., Xu, K., Lee, H. S., Li, S., McManus, M. J., et al. (2022) · EJNMMI Research · doi:10.1186/s13550-022-00914-x · Cited by 16
Doherty, B. M., Oh, J. M., Schultz, S. A., Koscik, R. L., Dowling, N. M., Barnhart, T. E., Murali, D., Gallagher, C. L., Carlsson, C. M., Bendlin, B. B., et al. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.04.123 · Cited by 13
Kim, D.-H., Oh, M., & Kim, J. S. (2023) · Diagnostics · doi:10.3390/diagnostics13213375 · Cited by 12
Shi, L., Buchanan, C. R., Cox, S. R., Hillary, R. F., Marioni, R. E., Campbell, A., Hayward, C., Stolicyn, A., Whalley, H. C., Harris, M. A., et al. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12240 · Cited by 10
Sohn, B. K., Byun, M. S., Yi, D., Jeon, S. Y., Lee, J. H., Choe, Y. M., Lee, D. W., Lee, J., Kim, Y. K., Sohn, C., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215258 · Cited by 12
Shepherd, T. M., & Nayak, G. K. (2019) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000225 · Cited by 11
Wei, H., Li, B., Ng, K. P., Fu, Q., Dong, S., Ba, M., & Kong, M. (2021) · Chinese Medical Journal · doi:10.1097/cm9.0000000000001496 · Cited by 11
Marizzoni, M., Ferrari, C., Macis, A., Jovicich, J., Albani, D., Babiloni, C., Cavaliere, L., Didic, M., Forloni, G., Galluzzi, S., et al. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-181016 · Cited by 9
Biomarkers for Alzheimer's disease and mild cognitive impairment: Recent advances in task-based EEG
Tripanpitak, K., Wolf, A., Kapitonova, M., Umeda, S., Tonio Ball, A., & Otake, M. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877251413700 · Cited by 7
Language patterns in Japanese patients with Alzheimer disease: A machine learning approach
Momota, Y., Liang, K., Horigome, T., Kitazawa, M., Eguchi, Y., Takamiya, A., Goto, A., Mimura, M., & Kishimoto, T. (2022) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13526 · Cited by 10
Raji, C. A., Torosyan, N., & Silverman, D. H. S. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200487 · Cited by 7
Tristão‐Pereira, C., Langella, S., Baena, A. Y., Londono, N., Sanchez, J. S., Martinez, L., Álvarez, S., Vidal, M., Aguillon, D. F., Su, Y., et al. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf508 · Cited by 5
Integrative biomarker discovery in neurodegenerative diseases
Carreiro, A. V., de Mendonça, A., de Carvalho, M. A., & Madeira, S. C. (2015) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1310 · Cited by 5
Kerendi, H., Rahmati, M., Mirnasuri, R., & Kazemi, A. (2019) · Gene · doi:10.1016/j.gene.2019.04.027 · Cited by 5
Park, D. C., & Farrell, M. E. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-411469-2.00005-4 · Cited by 4
Kim, D.-H., Son, J., Hong, C. M., Ryu, H., Jeong, S. Y., Lee, S., & Lee, J. (2022) · Diagnostics · doi:10.3390/diagnostics12010132 · Cited by 4
Yang, L., Yan, W., Huang, Y., Yuan, Y., Chen, Z., Zhang, X., Li, Y., Li, D., Xiang, J., Yan, T., et al. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.108729 · Cited by 3
Are we in Need of Dividing Zoology into Two Fields?
Ghanemi, A. (2014) · Journal of Dairy Veterinary & Animal Research · doi:10.15406/jdvar.2014.01.00001 · Cited by 3
Casamitjana, A., Petrone, P., Molinuevo, J. L., Gispert, J. D., & Vilaplana, V. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2932565 · Cited by 3
Role of functional foods and nutraceuticals in nutrition and health
Shirodkar, S. S., Khanchey, F., & Babre, N. (2025) · Academia Nutrition and Dietetics · doi:10.20935/acadnutr7676 · Cited by 4
Kim, M., Byun, M. S., Yi, D., Ahn, H., Jung, G., Jung, J. H., Chang, Y. Y., Kim, K., Choi, H., Choi, J., et al. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261418688 · Cited by 2
Dementia, Etiologies, and Implications on Communication
Kohlenberg, C. J., & Kohlenberg, N. J. (2020) · Springer eBooks · doi:10.1007/978-3-030-43977-4_2 · Cited by 2
Geiger, A. R., Euler, M. J., Guevara, J. E., Vehar, J. V., King, J. B., Duff, K. M., & Hoffman, J. M. (2024) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2024.112464 · Cited by 2
PET Tracers for Beta-Amyloid and Other Proteinopathies
Nordberg, A. K. (2014) · Springer eBooks · doi:10.1007/978-3-642-42014-6_8 · Cited by 2
Kepe, V. (2013) · PET Clinics · doi:10.1016/j.cpet.2013.08.002 · Cited by 2
Cortical thickness changes precede high levels of amyloid by at least seven yearsPreprint
Roe, J. M., Jagust, W., Landau, S. M., Harrison, T. M., Grydeland, H., Slivka, M., Warren, J. L. A., Garrido, P. F., Sørensen, Ø., Grødem, E., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.14.670398 · Cited by 2
Self-citationLiu, Y., Sundman, M., Hinderaker, D., Chen, A. Y.-C., Green, J. M., Haaheim, L. G., Siu, H. M., Jezerc, C., Lai, K., Chen, C. C. L., et al. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1592678 · Cited by 1
Molecular Imaging and Precision Medicine in Dementia and Movement Disorders
Mallik, A. K., Drzezga, A. E., & Minoshima, S. (2016) · PET Clinics · doi:10.1016/j.cpet.2016.08.003 · Cited by 1
Li, X., Gong, Z., Zhu, N., & Zhang, S. (2025) · Avian Research · doi:10.1016/j.avrs.2025.100303 · Cited by 1
Neuroimaging Advances in Alzheimer's Disease
Schonhaut, D. R., & Rabinovici, G. D. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800105-9.00017-2 · Cited by 1
Self-citationHsieh, C., Hou, C., Zhu, Y., Lee, J. Y., Kohli, N., Gallagher, E. P., Xu, K., Lee, H. S., Li, S., McManus, M. J., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1723750/v1 · Cited by 1
Introduction to the JINS Special Issue: Preclinical Prediction
Woodard, J. L., Seidman, L. J., & Stout, J. C. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617716000941
Ong, K. T. (2018) · OBM Geriatrics · doi:10.21926/obm.geriatr.1803011
Fact, Fiction, or Evolution: Mechanism Hypothesis of Alzheimer’s Disease
Pardo, J. V. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.83824
Yim, S. J., Yi, D., Byun, M. S., Sung, K., & Lee, D. Y. (2020) · Psychiatry Investigation · doi:10.30773/pi.2020.0323
Amyloid beta resistance and the Warburg effect: Re-examining Alzheimer's disease
Newington, J. T. (2013) · Scholarship@Western (Western University)
Victoroff, J. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139696432.013
Nordberg, A. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00071-3
Wide field of view non-mydriatic biomarker detection portable fundus camera
Palacios, D. R., Zhai, B., Mendoza‐Santiesteban, C. E., DeBuc, D. C., & Wang, M. R. (2023) · Ophthalmic Technologies · doi:10.1117/12.2650467
Arastoo, M., Penny, L. K., Lofthouse, R. A., Hitchcock, A., Moelders, A., Szalma, S., Porter, A. J., Palliyil, S., Harrington, C. R., & Wischik, C. M. (2025) · Scientific Reports · doi:10.1038/s41598-025-25864-x
Seo, E. H., Lim, H. J., Yoon, H.-J., Choi, K. Y., Lee, J. J., Park, J. Y., Choi, S. H., Kim, H., Kim, B. C., & Lee, K. H. (2021) · Figshare · doi:10.6084/m9.figshare.16779366
Hsieh, C.-J., Hou, C., Zhu, Y., Lee, J. Y., Kohli, N., Gallagher, E. P., Xu, K., Lee, H. S., Li, S., McManus, M. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20390984
Phan, T. L. (2021) · theses.fr (ABES) · doi:10.70675/0228f1acz72d6z43cbz9fcezf9c752dd6778
Cortical thickness changes precede high levels of amyloid by at least 7 years
Roe, J. M., Jagust, W. J., Landau, S. M., Harrison, T. M., Grydeland, H., Slivka, M., Warren, J. L. A., Garrido, P. F., Sørensen, Ø., Grødem, E., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02363-4 · Cited by 1
Self-citation
Metadata
- Authors
- Wirth, M., Madison, C. M., Rabinovici, G. D., Oh, H., Landau, S. M., & Jagust, W. J.
- Affiliations
- University of California, Berkeley (US)
- Lawrence Berkeley National Laboratory (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2013-03-27
- Volume
- 33
- Issue
- 13
- Pages
- 5553-5563
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3687777
- OpenAlex
- W2039421157
- Cited by
- 151
- References
- 75
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 1 · 2023: 5 · 2022: 9 · 2021: 10 · 2020: 8 · 2019: 15 · 2018: 8 · 2017: 12 · 2016: 19 · 2015: 17 · 2014: 20 · 2013: 15
- FWCI
- 16.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-sa)
- Funders
- National Science Foundation (U01 AG024904)
- Foundation for the National Institutes of Health (U01AG024904, Grant U01 AG024904, AG024904)
- Alzheimer's Association (K23-AG031861, P50 AG023501, AG010129, NIRG-07-59422, U01 AG024904, P01-AG1972403)
- Bristol-Myers Squibb (U01 AG024904, AG024904)
- AstraZeneca
- Biogen (U01 AG024904, AG024904)
- Alzheimer's Disease Neuroimaging Initiative (U01AG024904, AG024904)
- Amorfix Life Sciences
- BioClinica (U01 AG024904, AG024904)
- Northern California Institute for Research and Education (U01 AG024904)
- John Douglas French Alzheimer's Foundation
- Bayer HealthCare
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (131515)
- Eisai (U01 AG024904, AG024904)
- National Institutes of Health (3u01ag024904-10s2, AG023501, U01-AG024904, Grant U01 AG024904, AG010129, AG024904, AG034570)
- University of California, Los Angeles
- University of California, San Diego
- University of California, San Francisco
- Canadian Institutes of Health Research (U01 AG024904)
- National Institute on Aging (U01-AG-024904, P30AG010129, AG1972403, P01 AG1972403, AG 024904, K01AG030514, AG010129, AG034570, AG023501, K23AG031861, R01AG034570, P50AG023501)
- National Institute of Biomedical Imaging and Bioengineering (U01 AG024904, AG024904)
- Topics
- 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
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Keywords
- Alzheimer's disease, neurodegeneration, amyloid-beta, Pittsburgh compound B, cognitively normal older adults, hippocampal volume, cortical glucose metabolism, cortical thickness, neural integrity, memory, executive function, amyloid plaques
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Amyloid, Analysis of Variance, Aniline Compounds, Brain Mapping, Cognition Disorders, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Mental Status Schedule, Middle Aged, Neuropsychological Tests, Radioisotopes, Thiazoles, Reproducibility of Results, Biomarkers, Linear Models, 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