Cited by 222Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCancer-related cognitive impairment studies

Brain imaging evidence of preclinical Alzheimer's disease in normal aging

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Jagust, William, Gitcho, Amy, Sun, Felice, Kuczynski, Beth, Mungas, Dan, Haan, Mary·2006·Annals of Neurology

Abstract

Objective: This study was designed to test the hypothesis that baseline glucose metabolism and medial temporal lobe brain volumes are predictive of cognitive decline in normal older people. Methods: We performed positron emission tomography using [18 F]fluorodeoxyglucose and structural magnetic resonance imaging at baseline in 60 cognitively normal community‐dwelling older subjects who were part of a longitudinal cohort study. Subjects were followed for a mean of 3.8 years, with approximately annual evaluation of global cognition (the Modified Mini‐Mental State Examination) and episodic memory (delayed recall). Baseline brain volumes and glucose metabolism were evaluated in relation to the rate of change in cognitive test scores. Results: Six subjects developed incident dementia or cognitive impairment (converters). Baseline positron emission tomography scans showed regions in left and right angular gyrus, left mid‐temporal gyrus, and left middle frontal gyrus that predicted the rate of change on the Modified Mini‐Mental State Examination (p < 0.001). The left hemisphere temporal and parietal regions remained significant when converters were excluded. Both hippocampal (p = 0.03) and entorhinal cortical volumes (p = 0.01) predicted decline on delayed recall over time, and entorhinal cortical volumes remained significant when converters were excluded (p = 0.02). These brain volumes did not predict Modified Mini‐Mental State Examination decline. Interpretation: These results indicate that temporal and parietal glucose metabolism predict decline in global cognitive function, and medial temporal brain volumes predict memory decline in normal older people. The anatomical location of these findings suggests detection of preclinical Alzheimer's disease pathology. Ann Neurol 2006

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  • Patients with mild cognitive impairment and Alzheimer's disease exhibit deficits in brain energy metabolism years before symptom onset.

    “Numerous studies show that patients with mild cognitive impairment (MCI) and AD exhibit deficits in brain energy metabolism years before disease symptom onset [8][9][10][11] .”

    From APOE4-drives brain bioenergetic shifts independent of Alzheimer’s disease pathology (2026) · cites this paper as [8]

    The Results and Discussion (page unavailable) link lower baseline glucose metabolism in cognitively normal older adults to later cognitive decline over approximately four years, suggesting presymptomatic AD. The paper also reports lower metabolism in people with MCI who later develop dementia, but explicitly says MCI patients are not presymptomatic; it does not establish that patients with MCI and AD had metabolic deficits years before symptom onset. (LLM, conf=0.87)

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Research works printed but not linked: 43

  1. Jack CR, Petersen RC, Xu UC, et al. Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease. Neurology 1997;49:786 -794.
  2. Dickerson BC, Goncharova I, Sullivan MP, et al. MRI-derived entorhinal and hippocampal atrophy in incipient and very mild Alzheimer's disease. Neurobiol Aging 2001;22:747-754.
  3. Minoshima S, Giordani B, Berent S, et al. Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's dis- ease. Ann Neurol 1997;42:85-94.
  4. Silverman DH, Small GW, Chang CY, et al. Positron emission tomography in evaluation of dementia: regional brain metabo- lism and long-term outcome. JAMA 2001;286:2120 -2127.
  5. Killiany RJ, Gomez-Isla T, Moss M, et al. Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease. Ann Neurol 2000;47:430 -439.
  6. Korf ESC, Wahlund LO, Visser PJ, Scheltens P. Medial tem- poral lobe atrophy on MRI predicts dementia in patients with mild cognitive impairment. Neurology 2004;63:94 -100.
  7. deToledo-Morrell L, Stoub TR, Bulgakova M, et al. MRI- derived entorhinal volume is a good predictor of conversion from MCI to AD. Neurobiol Aging 2004;25:1197-1203.
  8. Arnaiz E, Jelic V, Almkvist O, et al. Impaired cerebral glucose metabolism and cognitive functioning predict deterioration in mild cognitive impairment. Neuroreport 2001;12:851-855.
  9. Chetelat G, Desgranges B, De La Sayette V, et al. Mild cogni- tive impairment: can FDG-PET predict who is to rapidly con- vert to Alzheimer's disease? Neurology 2003;60:1374 -1377.
  10. Reiman EM, Caselli RJ, Yun LS, et al. Preclinical evidence of Alzheimer's disease in persons homozygous for the e4 allele for apolipoprotein E. N Engl J Med 1996;334:752-758.
  11. Small GW, Ercoli LM, Silverman DH, et al. Cerebral meta- bolic and cognitive decline in persons at genetic risk for Alz- heimer's disease. Proc Natl Acad Sci U S A 2000;97: 6037-6042.
  12. Reiman EM, Chen K, Alexander GE, et al. Functional brain abnormalities in young adults at genetic risk for late-onset Alz- heimer's dementia. Proc Natl Acad Sci U S A 2004;101: 284 -289.
  13. Price JL, Morris JC. Tangles and plaques in nondemented ag- ing and "preclinical" Alzheimer's disease. Ann Neurol 1999;45: 358 -368.
  14. Haan MN, Mungas DM, Gonzalez HM, et al. Prevalence of dementia in older Latinos: the influence of type 2 diabetes mel- litus, stroke and genetic factors. J Am Geriatr Soc 2003;51: 169 -177.
  15. Teng EL, Chui HC. The Modified Mini-Mental State (3MS) examination. J Clin Psychiatry 1987;48:314 -318.
  16. Mungas D, Reed BR, Marshall SC, Gonzalez HM. Develop- ment of psychometrically matched English and Spanish lan- guage neuropsychological tests for older persons. Neuropsychol- ogy 2000;14:209 -223.
  17. Del-Ser T, Morales JM, Barquero MS, et al. Application of a Spanish version of the "Informant Questionnaire on Cognitive Decline in the Elderly" in the clinical assessment of dementia. Alzheimer Dis Assoc Disord 1997;11:3-8.
  18. Petkov CI, Wu CC, Eberling JL, et al. Correlates of memory function in community-dwelling elderly: the importance of white matter hyperintensities. J Int Neuropsychol Soc 2004;10: 371-381.
  19. Mosconi L, Tsui WH, De Santi S, et al. Reduced hippocampal metabolism in MCI and AD: automated FDG-PET image analysis. Neurology 2005;64:1860 -1867.
  20. Klein GJ, Teng X, Jagust WJ, et al. A methodology for speci- fying PET VOIs using multi-modality techniques. IEEE Trans Med Imaging 1997;16:405-415.
  21. Kwan LT, Reed BR, Eberling JL, et al. Effects of subcortical cerebral infarction on cortical glucose metabolism and cognitive function. Arch Neurol 1999;56:809 -814.
  22. Meltzer CC, Leal JP, Mayberg HS, et al. Correction of PET data for partial volume effects in human cerebral cortex by MR imaging. J Comput Assist Tomogr 1990;14:561-570.
  23. Bookheimer SY, Strojwas MH, Cohen MS, et al. Patterns of brain activation in people at risk for Alzheimer's disease. N Engl J Med 2000;343:450 -456.
  24. Dickerson BC, Salat DH, Bates JF, et al. Medial temporal lobe function and structure in mild cognitive impairment. Ann Neu- rol 2004;56:27-35.
  25. Jagust WJ, Eberling JL, Wu CC, et al. Brain function and cog- nition in a community sample of elderly Latinos. Neurology 2002;59:378 -383.
  26. Wu CC, Mungas D, Petkov CI, et al. Brain structure and cog- nition in a community sample of elderly Latinos. Neurology 2002;59:383-391.
  27. Jack CR, Dickson DW, Parisi JE, et al. Antemortem MRI find- ings correlate with hippocampal neuropathology in typical ag- ing and dementia. Neurology 2002;58:750 -757.
  28. DeCarli C, Grady CL, Clark CM, et al. Comparison of positron emission tomography, cognition and brain volume in Alzhiemer's disease with and without severe abnormalities of white matter. J Neurol Neurosurg Psychiatry 1996;60: 158 -167.
  29. De Santi S, de Leon MJ, Rusinek H, et al. Hippocampal for- mation glucose metabolism and volume losses in MCI and AD. Neurobiol Aging 2001;22:529 -539.
  30. Smith AD. Imaging the progression of Alzheimer pathology through the brain. Proc Natl Acad Sci U S A 2002;99: 4135-4137.
  31. Xu Y, Jack CR Jr, O'Brien PC, et al. Usefulness of MRI mea- sures of entorhinal cortex versus hippocampus in AD. Neurol- ogy 2000;54:1760 -1767.
  32. Killiany RJ, Hyman BT, Gomez-Isla T, et al. MRI measures of entorhinal cortex vs hippocampus in preclinical AD. Neurology 2002;58:1188 -1196.
  33. Guillozet AL, Weintraub S, Mash DC, Mesulam MM. Neuro- fibrillary tangles, amyloid, and memory in aging and mild cog- nitive impairment. Arch Neurol 2003;60:729 -736.
  34. Golomb J, de Leon MJ, Kluger A, et al. Hippocampal atrophy in normal aging: an association with recent memory. Arch Neu- rol 1993;50:967-973.
  35. Walhovd KB, Fjell AM, Reinvang I, et al. Size does matter in the long run: hippocampal and cortical volume predict recall across weeks. Neurology 2004;63:1193-1197.
  36. Raz N, Gunning-Dixon FM, Head D, et al. Neuroanatomical correlates of cognitive aging: evidence from structural magnetic resonance imaging. Neuropsychology 1998;12:95-114.
  37. Van Petten C, Plante E, Davidson PS, et al. Memory and ex- ecutive function in older adults: relationships with temporal and prefrontal gray matter volumes and white matter hyperin- tensities. Neuropsychologia 2004;42:1313-1335.
  38. de Leon MJ, Convit A, Wolf OT, et al. Prediction of cognitive decline in normal elderly subjects with 2-[(18)F]fluoro-2-deoxy- D-glucose/poitron-emission tomography (FDG/PET). Proc Natl Acad Sci U S A 2001;98:10966 -10971.
  39. Rusinek H, De Santi S, Frid D, et al. Regional brain atrophy rate predicts future cognitive decline: 6-year longitudinal MR imaging study of normal aging. Radiology 2003;229:691-696.
  40. Rodrigue KM, Raz N. Shrinkage of the entorhinal cortex over five years predicts memory performance in healthy adults. J Neurosci 2004;24:956 -963.
  41. Convit A, Wolf OT, Tarshish C, de Leon MJ. Reduced glucose tolerance is associated with poor memory performance and hip- pocampal atrophy among normal elderly. Proc Natl Acad Sci U S A 2003;100:2019 -2022.
  42. Solfrizzi V, Panza F, Colacicco AM, et al. Vascular risk factors, incidence of MCI, and rates of progression to dementia. Neu- rology 2004;63:1882-1891.
  43. Miech RA, Breitner JC, Zandi PP, et al. Incidence of AD may decline in the early 90s for men, later for women: the Cache County study. Neurology 2002;58:209 -218.

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Authors
Jagust, W., Gitcho, A., Sun, F., Kuczynski, B., Mungas, D., & Haan, M.
Affiliations
  • Lawrence Berkeley National Laboratory (US)
  • University of California, Berkeley (US)
  • University of California, Davis (US)
  • University of Michigan (US)
Corresponding author
Jagust, William
Venue
Annals of Neurology
Publisher
Wiley
Published
2006-02-08
Volume
59
Issue
4
Pages
673-681
ISSN
  • 0364-5134 (ISSN-L)
  • 1531-8249
OpenAlex
W2032157350
Cited by
222
References
7
Citations by year
2026: 6 · 2025: 6 · 2024: 9 · 2023: 10 · 2022: 4 · 2021: 12 · 2020: 5 · 2019: 6 · 2018: 9 · 2017: 11 · 2016: 9 · 2015: 14 · 2014: 15 · 2013: 13 · 2012: 12
FWCI
9.55
Type
journal article
Language
en
Open access
Locations
  • Annals of Neurology (publishedVersion)
  • PubMed (publishedVersion)
  • Deep Blue (University of Michigan) (submittedVersion)
Funders
  • National Institute on Aging (AG 10220, AG-12975, R01AG012975, R01AG010220, R03AG033751)
  • National Institute of Diabetes and Digestive and Kidney Diseases (DK-60753, R01DK060753)
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 › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
Keywords
preclinical Alzheimer's disease, normal aging, cognitive decline, glucose metabolism, medial temporal lobe, hippocampus, entorhinal cortex, brain volume, episodic memory, angular gyrus, 18F-FDG PET, structural MRI
MeSH terms
Aged, Aged, 80 and over, Alzheimer Disease, Brain Mapping, Female, Glucose, Hispanic or Latino, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Male, Mental Status Schedule, Middle Aged, Neuropsychological Tests, Mental Recall, Case-Control Studies, Fluorodeoxyglucose F18, Positron-Emission Tomography

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