The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Age-related changes in the default mode network are more advanced in Alzheimer disease
Open accessAbstract
OBJECTIVE: To investigate age-related default mode network (DMN) connectivity in a large cognitively normal elderly cohort and in patients with Alzheimer disease (AD) compared with age-, gender-, and education-matched controls. METHODS: We analyzed task-free-fMRI data with both independent component analysis and seed-based analysis to identify anterior and posterior DMNs. We investigated age-related changes in connectivity in a sample of 341 cognitively normal subjects. We then compared 28 patients with AD with 56 cognitively normal noncarriers of the APOE ε4 allele matched for age, education, and gender. RESULTS: The anterior DMN shows age-associated increases and decreases in fontal lobe connectivity, whereas the posterior DMN shows mainly age-associated declines in connectivity throughout. Relative to matched cognitively normal controls, subjects with AD display an accelerated pattern of the age-associated changes described above, except that the declines in frontal lobe connectivity did not reach statistical significance. These changes survive atrophy correction and are correlated with cognitive performance. CONCLUSIONS: The results of this study indicate that the DMN abnormalities observed in patients with AD represent an accelerated aging pattern of connectivity compared with matched controls.
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“Furthermore, abnormalities in the default mode network, which is regulated in part by PV-INs [27], have been observed in AD patients [28][29][30][31][32].”
From Parvalbumin interneuron vulnerability and brain disorders (2021) · cites this paper as [28]
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A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347
Self-citationGreicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684
DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI
Yan (2010) · Frontiers in System Neuroscience · doi:10.3389/fnsys.2010.00013 · Cited by 3,475
A method for making group inferences from functional MRI data using independent component analysis
Calhoun, V. D., Adali, T., Pearlson, G. D., & Pekar, J. J. (2001) · Human Brain Mapping · doi:10.1002/hbm.1048 · Cited by 2,994
Toward discovery science of human brain function
Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911855107 · Cited by 2,970
Neurodegenerative Diseases Target Large-Scale Human Brain Networks
Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350
The global signal and observed anticorrelated resting state brain networks
Fox, M. D., Zhang, D., Snyder, A. Z., & Raichle, M. E. (2009) · Journal of Neurophysiology · doi:10.1152/jn.90777.2008 · Cited by 1,877
Research works printed but not linked: 1
- Jones DT, Vemuri P, Machulda MM, et al.. Age effect on functional connectivity. Presented at the American Academy of Neurology 62nd Annual Meeting, April 10–17 2010, Toronto, Canada. Abstract.
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Metadata
- Authors
- Jones, D. T., Machulda, M. M., Vemuri, P., McDade, E. M., Zeng, G., Senjem, M. L., Gunter, J. L., Przybelski, S. A., Avula, R. T., Knopman, D. S., Boeve, B. F., Petersen, R. C., & Jack, C. R.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Jack, C.R.
- ORCID
- Venue
- Neurology
- Published
- 2011-10-18
- Volume
- 77
- Issue
- 16
- Pages
- 1524-1531
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC3198977
- OpenAlex
- W2064066094
- Cited by
- 370
- References
- 30
- Citations by year
- 2026: 11 · 2025: 22 · 2024: 27 · 2023: 20 · 2022: 27 · 2021: 34 · 2020: 24 · 2019: 31 · 2018: 24 · 2017: 26 · 2016: 24 · 2015: 25 · 2014: 29 · 2013: 23 · 2012: 23
- FWCI
- 12.17
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neurology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Eli Lilly and Company
- Pfizer
- Baxter International
- Mayo Foundation for Medical Education and Research (AG16574)
- University of Oxford
- Eisai
- National Institutes of Health (AG11378, R01 AG11378, AG16574)
- National Institute on Aging (R01AG11378, P50‐AG16574, U01AG06786, AG 16574, U01AG006786, R01AG011378, AG-11378, P50AG016574)
- National Center for Research Resources (C06RR018898)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- 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
- default mode network, Alzheimer's disease, brain aging, functional connectivity, posterior default mode network, frontal lobe connectivity, APOE ε4, cognitive performance, brain atrophy, accelerated aging
- MeSH terms
- Age Factors, Aged, Aged, 80 and over, Aging, Alzheimer Disease, Brain, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Nerve Net, Neural Pathways, Neuropsychological Tests, Oxygen, Psychiatric Status Rating Scales, Cohort Studies, Statistics, Nonparametric
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