The DOI matches its Crossref record, with a small difference in title or year; 90 of the 91 references it cites were found in a registry or an index.
Age-related alterations in default mode network: Impact on working memory performance
Open accessAbstract
The default mode network (DMN) is a set of functionally connected brain regions which shows deactivation (task-induced deactivation, TID) during a cognitive task. Evidence shows an age-related decline in task-load-related modulation of the activity within the DMN during cognitive tasks. However, the effect of age on the functional coupling within the DMN and their relation to cognitive performance has hitherto been unexplored. Using functional magnetic resonance imaging, we investigated functional connectivity within the DMN in older and younger subjects during a working memory task with increasing task load. Older adults showed decreased connectivity and ability to suppress low frequency oscillations of the DMN. Additionally, the strength of the functional coupling of posterior cingulate (pCC) with medial prefrontal cortex (PFC) correlated positively with performance and was lower in older adults. pCC was also negatively coupled with task-related regions, namely the dorsolateral PFC and cingulate regions. Our results show that in addition to changes in canonical task-related brain regions, normal aging is also associated with alterations in the activity and connectivity of brain regions within the DMN. These changes may be a reflection of a deficit in cognitive control associated with advancing age that results in deficient resource allocation to the task at hand.
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?
In the citing paper
“Similar to our findings, several previous studies found linear-age-related FCS decreases in the medial prefrontal cortex, precuneus, insula, and calcarine and linear FCS increases in sensorimotor areas based on the general linear model [36-38].”
From Mapping neurophysiological subtypes of major depressive disorder using normative models of the functional connectome (2023) · cites this paper as [37]
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
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
Welch, P. D. (1967) · IEEE Transactions on Audio and Electroacoustics · doi:10.1109/tau.1967.1161901 · Cited by 12,363
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
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
The Psychology of Learning and Motivation: Advances in Research and Theory
(2010) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/c2009-0-62209-1 · Cited by 6,035
Greicius, 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
Working memory, comprehension, and aging: A review and a new view
Hasher, L., & Zacks, R. T. (1988) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60041-9 · Cited by 3,456
Research works printed but not linked: 2
- Greicius, M.D., Supekar, K., Dougherty, R., 2007. Functional connectivity reflects structural connectivity in a human memory network. Proceedings of the Thirteenth Annual Meeting of the Organization for Human Brain Mapping (HBM’07), CD-ROM paper no. 336 TH-PM., 94 W-PM.
- Hugenschmidt, C.E., Peiffer, A.M., Casanova, R., Maldjian, J.A., Burdette, J.H., Hayasaka, S., Laurienti, P.J., 2007. Preservation of default mode functioning in healthy aging adults. Proceedings of the Thirteenth Annual Meeting of the Organization for Human Brain Mapping (HBM’07) CD-ROM paper no. 336 TH-PM., 49 TH-AM.
Cited by
Sorted by citations
Items 501–516 of 516
Language Comprehension, Chinese Reading, and the Aging Brain
Zhou, N., Huang, C., & Huang, H.-W. (2025) · Chinese language learning sciences · doi:10.1007/978-981-96-6669-0_10
Age-related degradation of behavioral and network features of Aplysia escape locomotion
Mistry, V. K., Martinez, D., & Frost, W. N. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1807660
The Default Mode Network and Language Impairment in Stroke and Neurodegeneration
Duncan, E. S., Pradeep, A. A., Kidwai, J., & Buchwald, A. B. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009202336.010
Language and Cognitive Plasticity and Processing
Andrews, E., & Kiran, S. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009202336.007
Default mode network : self, laterização e patologia
Santos, P. J. H. (2014) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Battisti, R. A. (2010) · Research Online (University of Wollongong)
Tang, J., Wang, Y., Xuying, X. U., Pan, X., & Wang, R. (2026) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127426501063
Healthy aging, processing speed, and mnemonic brain state engagementPreprint
Buras, H. R., Han, S., & Long, N. M. (2026) · bioRxiv · doi:10.64898/2026.04.28.721318 · Cited by 1
Korte, J. A., Steele, C. J., Joiner, W., & Fan, A. P. (2026) · Human Brain Mapping · doi:10.1002/hbm.70541
Contribution of attentional mechanisms to verbal and nonverbal communication in boys with ASD
Minnigulova, A., Dragoy, O., & Arutiunian, V. (2026) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-026-03089-1
Fang, K. K., Xu, V. E., Lee, T. M.-C., & Shao, R. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106885
Covert consciousness in behavioral coma
Edlow, B. L., Fecchio, M., Freeman, H. J., Rapalino, O., Cash, S. S., & Young, M. J. (2026) · Cortex · doi:10.1016/j.cortex.2026.07.008
Non-Linear Dorsolateral Prefrontal Recruitment During Speech-in-Noise Perception in AgingPreprint
Perron, M., & Russo, F. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.14.744523
Advances in neuroimaging and brain mapping
Dutta, R., Yadav, N., & Tiwari, V. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-36544-7.00008-2
Vascular risk, functional connectivity, and episodic memory in older adults
Hartman, T., & Rochon, E. A. (2014) · Loyola eCommons (Loyola University of Chicago)
Metadata
- Authors
- Sambataro, F., Murty, V. P., Callicott, J. H., Tan, H.-Y., Das, S., Weinberger, D. R., & Mattay, V. S.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Mattay, Venkata S.
- ORCID
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2010-05
- Volume
- 31
- Issue
- 5
- Pages
- 839-852
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC2842461
- OpenAlex
- W2047342826
- Cited by
- 517
- References
- 91
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 18 · 2023: 32 · 2022: 29 · 2021: 28 · 2020: 32 · 2019: 22 · 2018: 29 · 2017: 36 · 2016: 40 · 2015: 37 · 2014: 37 · 2013: 34 · 2012: 38
- FWCI
- 12.58
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Institutional Research Information System (University of Udine) (submittedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- Funders
- National Institutes of Health (Z99 MH999999)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- default mode network, normal aging, working memory, functional connectivity, task-induced deactivation, posterior cingulate cortex, medial prefrontal cortex, cognitive control, workload, low-frequency oscillations, older adults
- MeSH terms
- Adult, Age Factors, Aged, Aged, 80 and over, Aging, Analysis of Variance, Brain Mapping, Female, Gyrus Cinguli, Humans, Image Processing, Computer-Assisted, Functional Laterality, Magnetic Resonance Imaging, Male, Memory, Short-Term, Middle Aged, Nerve Net, Neural Pathways, Neuropsychological Tests, Psychomotor Performance, Reaction Time, Chi-Square Distribution, Prefrontal Cortex
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
