The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Comparing Brain Amyloid Deposition, Glucose Metabolism, and Atrophy in Mild Cognitive Impairment with and without a Family History of Dementia
Abstract
This study compares the degree of brain amyloid-β (Aβ) deposition, glucose metabolism, and grey matter volume (GMV) reductions in mild cognitive impairment (MCI) patients overall and as a function of their parental history of dementia. Ten MCI with maternal history (MH), 8 with paternal history (PH), and 24 with negative family history (NH) received 11C-PiB and 18F-FDG PET and T1-MRI as part of the Alzheimer's Disease Neuroimaging Initiative. Statistical parametric mapping, voxel based morphometry, and Z-score mapping were used to compare biomarkers across MCI groups, and relative to 12 normal controls. MCI had higher PiB retention, hypometabolism, and GMV reductions in Alzheimer-vulnerable regions compared to controls. Biomarker abnormalities were more pronounced in MCI with MH than those with PH and NH. After partial volume correction of PET, Aβ load exceeded hypometabolism and atrophy with regard to the number of regions affected and magnitude of impairment in those regions. Hypometabolism exceeded atrophy in all MCI groups and exceeded Aβ load in medial temporal and posterior cingulate regions of MCI MH. While all three biomarkers were abnormal in MCI compared to controls, Aβ deposition was the most prominent abnormality, with MCI MH having the greatest degree of co-occurring hypometabolism.
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Both Alzheimer disease and FTD are characterized by hypometabolism of glucose.
“As both dementias are characterized by a hypometabolism of glucose40–44,72, deteriorating lipoprotein receptor functions of sortilin in the ageing brain may well aggravate deficits in neuronal energy production in the older population.”
From Interaction of sortilin with apolipoprotein E3 enables neurons to use long-chain fatty acids as alternative metabolic fuel (2025) · cites this paper as [72]
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Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Alzheimer's Disease Neuroimaging Initiative (ADNI)
Petersen, R. C., Aisen, P. S., Beckett, L. A., Donohue, M. C., Gamst, A. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Shaw, L. M., Toga, A. W., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181cb3e25 · Cited by 2,572
Mild Cognitive Impairment: Ten Years Later
Petersen, R. C., Roberts, R. O., Knopman, D. S., Boeve, B. F., Geda, Y. E., Ivnik, R. J., Smith, G. E., & Jack, C. R. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.266 · Cited by 1,447
Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404
Neuropathology of older persons without cognitive impairment from two community-based studies
Bennett, D. A., Schneider, J. A., Arvanitakis, Z., Kelly, J. F., Aggarwal, N. T., Shah, R. C., & Wilson, R. S. (2006) · Neurology · doi:10.1212/01.wnl.0000219668.47116.e6 · Cited by 1,336
Amyloid, hypometabolism, and cognition in Alzheimer disease: An [11C]PIB and [18F]FDG PET study
Edison, P., Archer, H. A., Hinz, R., Hammers, A., Pavese, N., Tai, Y. F., Hotton, G., Cutler, D., Fox, N., Kennedy, A., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000244749.20056.d4 · Cited by 518
Morris, J. C., Roe, C. M., Grant, E. A., Head, D., Storandt, M., Goate, A. M., Fagan, A. M., Holtzman, D. M., & Mintun, M. A. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.269 · Cited by 476
Relationships between biomarkers in aging and dementia
Jagust, W. J., Landau, S. M., Shaw, L. M., Trojanowski, J. Q., Koeppe, R. A., Reiman, E. M., Foster, N. L., Petersen, R. C., Weiner, M. W., Price, J. C., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181bc010c · Cited by 456
Risk of Dementia Among White and African American Relatives of Patients With Alzheimer Disease
Green, R. C. (2002) · JAMA · doi:10.1001/jama.287.3.329 · Cited by 391
Edland, S. D., Silverman, J. M., Peskind, E. R., Tsuang, D., Wijsman, E., & Morris, J. C. (1996) · Neurology · doi:10.1212/wnl.47.1.254 · Cited by 145
Progressive regional atrophy in normal adults with a maternal history of Alzheimer disease
Honea, R. A., Swerdlow, R. H., Vidoni, E. D., & Burns, J. M. (2011) · Neurology · doi:10.1212/wnl.0b013e31820e7b74 · Cited by 99
Maternal transmission of Alzheimer's disease: prodromal metabolic phenotype and the search for genes
Mosconi, L., Berti, V., Swerdlow, R. H., Pupi, A., Duara, R., & de Leon, M. (2010) · Human Genomics · doi:10.1186/1479-7364-4-3-170 · Cited by 85
Self-citationVariability of age at onset in siblings with familial Alzheimer disease
Gómez-Tortosa, E., Barquero, M. S., Barón, M., Sainz, M. J., Manzano, S., Payno, M., Ros, R., Almaraz, C., Gómez-Garré, P., & Jiménez-Escrig, A. (2007) · Archives of Neurology · doi:10.1001/archneur.64.12.1743 · Cited by 47
Mosconi, L., Glodzik, L., Mistur, R., McHugh, P., Rich, K. E., Javier, E., Williams, S., Pirraglia, E., De Santi, S., Mehta, P. D., et al. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.011 · Cited by 46
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Grothe, M. J., Teipel, S. J., & Initiative, F. T. A. D. N. (2016) · Human Brain Mapping · doi:10.1002/hbm.23018 · Cited by 150
Yoo, I. D., Park, M. W., Cha, H. W., Yoon, S., Boonpraman, N., Yi, S. S., & Moon, J.-S. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21217862 · Cited by 51
Greda, A. K., Gomes, J. P., Schmidt-Krueger, V., Zurawska-Plaksej, E., Fritsche-Guenther, R., Rudolph, I.-M., Telugu, N. S., Cömert, C., Kirwan, J., Kunz, S., et al. (2025) · Nature Metabolism · doi:10.1038/s42255-025-01389-5 · Cited by 21
Metadata
- Authors
- Mosconi, L., (ADNI), F. T. A. D. N. I., Andrews, R. D., & Matthews, D. C.
- Affiliations
- Abiant Inc, Grayslake, IL, USA
- Venue
- Journal of Alzheimer's Disease
- Publisher
- SAGE Publications
- Published
- 2013-05-06
- Volume
- 35
- Issue
- 3
- Pages
- 509-524
- ISSN
- 1875-8908
- 1387-2877
- Cited by
- 41
- References
- 14
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