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 401–500 of 516
Uwisengeyimana, J. D. D., Nguchu, B. A., Wang, Y., Zhang, D., Liu, Y., Jiang, Z., Wang, X., & Qiu, B. (2022) · Aging Clinical and Experimental Research · doi:10.1007/s40520-021-02067-8 · Cited by 5
Age-related changes in resting-state and task-activated functional MRI networks
Chen, S. A., Wu, C., Lua, R.-P., Miyakoshi, M., & Nakai, T. (2013) · International Symposium on Medical Information and Communication Technology · doi:10.1109/ismict.2013.6521732 · Cited by 5
Crane, N. T., Hayes, J. M., Viviano, R. P., Bogg, T., & Damoiseaux, J. S. (2020) · Personality Neuroscience · doi:10.1017/pen.2020.4 · Cited by 5
Lee, S. W., Kim, E., Jang, T. Y., Choi, H. J., Kim, S., Song, H., Hwang, M. J., Chang, Y., & Lee, S. J. (2022) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2022.20.3.415 · Cited by 5
Chen, T.-C., Kuo, W., Chiang, M., Tseng, Y.-J., & Lin, Y. (2013) · Brain and Language · doi:10.1016/j.bandl.2013.05.008 · Cited by 5
Abnormal activity of default mode network in GERD patients
Sun, H., Chen, Y., Zhao, X., Wang, X., Jiang, Y., Wu, P., Tang, Y., Meng, Q., & Xu, S. (2013) · BMC Neuroscience · doi:10.1186/1471-2202-14-69 · Cited by 5
Zhang, D., Yue, J., Niu, H., Wei, Z., Huang, D., Wang, P., Li, X., Zhao, Y., & Zhang, Q. (2025) · Current Alzheimer Research · doi:10.2174/0115672050352061250328055829 · Cited by 4
Coverdale, N. S., Champagne, A. A., Allen, M. D., Tremblay, J. C., Ethier, T. S., Fernández-Ruíz, J., Marshall, R. A., MacPherson, R. E. K., Pyke, K. E., Cook, D. J., et al. (2024) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00270.2023 · Cited by 4
Functional Importance Backbones of the Brain at Rest, Wakefulness, and Sleep
Lehnertz, K., & Bröhl, T. (2025) · Brain Sciences · doi:10.3390/brainsci15070772 · Cited by 4
Nathaniel, U., Thompson, H. E., Davies, E., Arnold, D., Hallam, G., Stampacchia, S., Smallwood, J., & Jefferies, E. (2017) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2017.1363793 · Cited by 4
Magnetic Resonance Imaging and Analysis in Multiple Sclerosis
Jakimovski, D., Ramasamy, D. P., & Zivadinov, R. (2019) · Current clinical neurology · doi:10.1007/978-3-030-24436-1_6 · Cited by 5
Seizures and Epilepsy in Dementia: Diagnosis and Management
Ritter, L. M., & Nilsson, C. (2021) · Springer eBooks · doi:10.1007/978-3-030-77904-7_12 · Cited by 4
Murray, T., O'Brien, J. M. D., Sagiv, N., & Kumari, V. (2022) · Cortex · doi:10.1016/j.cortex.2022.03.005 · Cited by 3
Tract-specific statistics based on diffusion-weighted probabilistic tractography
Reid, A., Camilleri, J. A., Hoffstaedter, F., & Eickhoff, S. B. (2022) · Communications Biology · doi:10.1038/s42003-022-03073-w · Cited by 4
EEG fluctuations of wake and sleep in mild cognitive impairment
O’Keeffe, J., Carlson, B. W., DeStefano, L. A., Wenger, M. J., Craft, M., Hershey, L. A., Hughes, J. W., Wu, D. H., Ding, L., & Yuan, H. (2017) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2017.8037639 · Cited by 4
Zhang, H., Sachdev, P. S., Thalamuthu, A., Yong He, A., Xia, M., Kochan, N. A., Crawford, J. D., Trollor, J. N., Brodaty, H., & Wen, W. X. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9843-y · Cited by 4
Wapstra, N. J., Ketola, M., Thompson, S., Lee, A., Madhyastha, T. M., Grabowski, T. J., & Stocco, A. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.719089 · Cited by 4
An Information System in the Brain: Evidence from fMRI BOLD Responses
Liou, M., Savostyanov, A. N., Simak, A. A., Wu, W., Huang, C.-T., & Cheng, P. E. (2012) · doi:10.6129/cjp.2012.5401.01 · Cited by 4
Poline, J., Breeze, J. L., & Frouin, V. (2015) · Biological magnetic resonance · doi:10.1007/978-1-4899-7591-1_24 · Cited by 4
Emotion in Speech: Recognition by Younger and Older Adults and Effects on Intelligibility
Dupuis, K. L. (2012) · TSpace (University of Toronto) · Cited by 4
Oishi, K., Soldan, A., Pettigrew, C. A., Hsu, J., Mori, S., Albert, M., & Oishi, K. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3988014 · Cited by 5
61 Network Segregation Predicts Processing Speed in the Cognitively Healthy Oldest-old
Nolin, S. A., Faulkner, M. E., Stewart, P., Fleming, L. L., Merritt, S. S., Rezaei, R. F., Bharadwaj, P., Franchetti, M. K., Raichlen, D. A., Jessup, C. J., et al. (2023) · eLife · doi:10.7554/elife.78076 · Cited by 9
Omel’chenko, A. N., & Makarchuk, N. E. (2017) · Neurophysiology · doi:10.1007/s11062-018-9697-3 · Cited by 3
Taing, A. S., Mundy, M. E., Ponsford, J. L., & Spitz, G. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102777 · Cited by 4
Yue, W. L., Ng, K. K., Liu, S., Qian, X., Chong, J. S. X., Koh, A. J., Ong, M. Q. W., Ting, S. K. S., Ng, A. S. L., Kandiah, N., et al. (2024) · Network Neuroscience · doi:10.1162/netn_a_00358 · Cited by 3
Schneider, E., Rajkovic, M., Krug, R., Caviezel, M. P., Reichert, C., Bieri, O., Schmidt, A., Borgwardt, S., Leyhe, T., Linnemann, C., et al. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1357695 · Cited by 3
Jin, X., Zhang, L., Wu, G., Wang, X., & Du, Y. (2024) · Neuroscience Bulletin · doi:10.1007/s12264-024-01234-x · Cited by 5
Functional MRI Studies of Memory in Aging, Mild Cognitive Impairment, and Alzheimer’s Disease
Risacher, S. L., Wishart, H. A., & Saykin, A. J. (2011) · Springer eBooks · doi:10.1007/978-1-4419-0345-7_24 · Cited by 3
Bridging the Translational Disconnect in CNS Drug Discovery
Geerts, H. (2009) · Cited by 3
Relating Variations in Network Connectivity to Cognitive Function
Hampson, M. (2010) · Cited by 3
He, X., Ma, N., Ning, Pan, Z.-L., Wang, Z., Li, N., Zhang, X., Zhou, J.-N., Zhu, D.-F., & Zhang, D. (2011) · Cited by 3
Ganzel, B. L., & Morris, P. (2016) · Wiley eBooks · doi:10.1002/9781119125556.devpsy215 · Cited by 3
Network Segregation Predicts Processing Speed in the Cognitively Healthy Oldest-oldPreprint
Nolin, S. A., Faulkner, M., Stewart, P., Fleming, L. E., Merritt, S., Rezaei, R., Bharadwaj, P., Franchetti, M. K., Raichlen, D. A., Jessup, C. J., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.05.463207 · Cited by 3
Jin, X., Zhang, L., Wu, G., Wang, X., & Du, Y. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.19.537446 · Cited by 3
Chen, C., Su, Y.-S., Tu, Y.-Z., & Goh, J. O. S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116012 · Cited by 3
Li, L., Wang, W., Li, W., Chen, Y., Mao, Y., Li, Y., & Qiu, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-08958-4 · Cited by 2
Functional network reorganization following VIM-MRgFUS for essential tremor
Liu, J., Krauss, J., Purrer, V., Borger, V., Essler, M., Radbruch, A., Wüllner, U., Upadhyay, N., & Boecker, H. (2026) · Neurotherapeutics · doi:10.1016/j.neurot.2026.e00864 · Cited by 2
Farahani, H., Blagojević, M., Azadfallah, P., Watson, P., Esrafilian, F., & Saljoughi, S. (2023) · Springer eBooks · doi:10.1007/978-3-031-31172-7_5 · Cited by 2
Yamashita, M., Shimokawa, T., & Tanemura, R. (2023) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2023.2242106 · Cited by 2
Chang, Y., Kim, J. S., Park, S., Hong, S. H., & Moon, I. J. (2024) · Journal of Audiology & Otology · doi:10.7874/jao.2023.00619 · Cited by 2
Brooding, reflection, and anger rumination in late life suicidal behavior
Buerke, M. L., Khani, A., Galfalvy, H., Wong, M. K., & Szántó, K. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.10.093 · Cited by 2
Joo, Y., Lee, H., Jeong, H. S., Suh, C., Hong, H., Kim, Y., Yu, S., Lee, C., Shim, Y., & Yoon, S. J. (2025) · Journal of Medicinal Food · doi:10.1089/jmf.2024.k.0260 · Cited by 2
Gao, Q., Zhang, G., Liu, H., Zheng, H., Zhang, L., Wu, J., & Zheng, W. (2022) · Advances in transdisciplinary engineering · doi:10.3233/atde220538 · Cited by 2
Functional MRI Studies of Memory in Aging, Mild Cognitive Impairment, and Alzheimer’s Disease
Zhu, J. K., Risacher, S. L., Wishart, H. A., & Saykin, A. J. (2023) · Springer eBooks · doi:10.1007/978-3-031-10909-6_30 · Cited by 2
Functional Connectivity MR Imaging
Horien, C. L., Shen, X., Scheinost, D., Constable, R. T., & Hampson, M. (2023) · Springer eBooks · doi:10.1007/978-3-031-10909-6_24 · Cited by 2
Grady, C. L., Rieck, J. R., Nichol, D., & Garrett, D. D. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa179 · Cited by 2
Rieckmann, A. (2011) · Cited by 2
Cognitive neuroscience of aging: present research status and future prospect
Liu, H., & Li, H. (2021) · Scientia Sinica Vitae · doi:10.1360/ssv-2020-0256 · Cited by 1
Targeting neuroplasticity in old brain: restoring synapse with cognitive strategies
Kopalli, S. R., Kale, M. B., Yadav, A., Alshahrani, S., Mohammed, A., Oirdi, M. E., Farhan, M., Taksande, B. G., Upaganlawar, A. B., Umekar, M. J., et al. (2026) · Biogerontology · doi:10.1007/s10522-026-10408-1 · Cited by 2
Effect of Exercise on a Speed Feedback Therapy System in Elderly Persons
Funaki, Y., Kaneko, F., Hanaoka, H., & Okamura, H. (2010) · Physical & Occupational Therapy In Geriatrics · doi:10.3109/02703181003775136 · Cited by 1
Alteration of functional connectivity during real-time fMRI regulation of PCC
Zhang, G., Yao, L., & Long, Z. (2012) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.911134 · Cited by 1
Raising Intelligence by Means of Behavioral Training
Jaušovec, N., & Pahor, A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809407-5.00003-8 · Cited by 1
Hanley, C., Burns, N., Thomas, H. R., Marstaller, L., & Burianová, H. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.07.004 · Cited by 1
Yang, C., Fan, J., Chen, K., Zhang, Z., & Initiative, F. T. B. A. B. R. (2023) · Psychophysiology · doi:10.1111/psyp.14449 · Cited by 1
Singh, M., Dev, R., Khokhar, S. K., Kumar, N., Saini, J. S., & Saxena, S. (2023) · Annals of Movement Disorders · doi:10.4103/aomd.aomd_35_22 · Cited by 1
Kurt, E., Bayram, A., & Demıralp, T. (2025) · European Journal of Neuroscience · doi:10.1111/ejn.70228 · Cited by 1
Change in human brain functional network based on Granger causality analysis
Li, C., Zhou, H., Zhou, J. M., Xiang, J., Qin, Y., & Zhong, N. (2015) · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems · doi:10.1109/cyber.2015.7288235 · Cited by 1
Han, G., Huang, L., Li, M., Liu, Y., He, L., & Hu, D. (2015) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon.2015.7373082 · Cited by 1
Démonet, J., & Celsis, P. (2012) · Wiley eBooks · doi:10.1002/9781119952930.ch5 · Cited by 1
Functional Connectivity MR Imaging
Hampson, M., Shen, X., & Constable, R. T. (2014) · Springer eBooks · doi:10.1007/978-1-4939-1995-6_6 · Cited by 1
Zhang, L., Wang, X., & Du, Y. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.05.515273 · Cited by 1
Schott, B. H., Soch, J., Kizilirmak, J. M., Schütze, H., Assmann, A., Maaß, A., Ziegler, G., Sauvage, M. M., & Richter, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.22.521668 · Cited by 1
Wu, W., & Hoffman, P. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.05.539561 · Cited by 1
Shimojo, S., & Akama, H. (2023) · Qeios · doi:10.32388/rwzh4y · Cited by 1
Chernek, P., Yazdi, B. G., Hojjati, S. H., Ozoria, S., Calimag, J., Wang, X. H., Modarresi, A., Picha, S. G., Chiang, G. C.-Y., & Razlighi, Q. R. (2025) · medRxiv · doi:10.1101/2025.11.02.25339341 · Cited by 1
Broster, L. S. (2015) · UKnowledge (University of Kentucky)
Homotopic Group ICA for Multi-Subject Brain Imaging DataPreprint
Yang, J., Eloyan, A., Barber, A. D., Nebel, M. B., Mostofsky, S. H., Pekar, J. J., Crainiceanu, C., & Caffo, B. C. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1302.4373
Neural Basis of Functional Connectivity MRI
Li, J. (2015) · Open Scholarship Institutional Repository (Washington University in St. Louis) · doi:10.7936/k7cc0xw8
Tagliazucchi, E., Laufs, H., & Chialvo, D. R. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1409.6378
DOPAMINE-REGULATING GENES, EXECUTIVE CONTROL, AND THE NETWORK STRUCTURE OF THE HUMAN BRAIN
Gordon, E. M. (2013) · DigitalGeorgetown (Georgetown University Library)
Tays, W. J. (2012) · Brock University Digital Repository (Brock University)
Pfeifer, G. (2015) · ePrints Soton (University of Southampton)
Liu, L., Li, J., Song, Y., & Liu, J. (2013) · Acta Psychologica Sinica · doi:10.3724/sp.j.1041.2012.00446
The emotional ageing brain: cognitive mechanisms and neural networks
Ziaei, M. (2016) · The University of Queensland · doi:10.14264/uql.2016.305
Default mode resting-state functional connectivity of the aging brain
Mowinckel, A. M. (2011) · NORA - Norwegian Open Research Archives · doi:10.13140/rg.2.1.2040.1361
Abnormal activity of default mode network in
Sun, H., Chen, Y., Zhao, X., Wang, X., Jiang, Y., Wu, P., Tang, Y., Meng, Q., & Xu, S. (2013)
Detloff, A. M. (2016) · DukeSpace (Duke University)
Structural and functional changes related to memory deficit in non-demential elderly individuals
Corrêa, N. D. A., Foss, M. P., & Diniz, P. R. B. (2016) · Medicina (Ribeirão Preto) · doi:10.11606/issn.2176-7262.v49i6p533-548
Differential Age‐Related Effects on Visual‐ and Associative‐Based Semantic Encoding
Tan, D. G. H., Tsang, E. W., Tang, K.-C., Chan, C. C. H., Liu, K. P. Y., & Wu, Y. (2017) · Journal of Applied Biobehavioral Research · doi:10.1111/jabr.12070
Wang, H. (2016) · Libraries and Cultural Resources (University of Calgary) · doi:10.11575/prism/25808
Fulopova, B. (2015) · UTAS Research Repository · doi:10.25959/23238728
Effects of aerobic capacity, age and gender on brain neural matter
Mortezaei, Z., Kalaycı, A., Balcıoğlu, T. H., Duru, A. D., & Çotuk, H. B. (2017) · Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT) · doi:10.1109/ebbt.2017.7956785
Lu, H., Ma, S. L., Chu, C. W., Wong, S. W. H., & Lam, L. C. W. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/565812
Bernal, B., Guillen, M. R., Altman, N. R., & DUCHOWNY, M. S. (2021) · Acta Scientific Neurology · doi:10.31080/asne.2021.04.0331
Physical Exercise and the Resting Brain
Hugenschmidt, C. E., Laurienti, P. J., & Burdette, J. H. (2012) · Springer eBooks · doi:10.1007/978-1-4614-3293-7_16
Current awareness in geriatric psychiatry
(2010) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2399
Functional MRI Studies of Memory in Aging, Mild Cognitive Impairment, and Alzheimer’s Disease
Risacher, S. L., Wishart, H. A., & Saykin, A. J. (2014) · Springer eBooks · doi:10.1007/978-1-4939-1995-6_10
Ferré, P., Benhajali, Y., Steffener, J., Stern, Y., Joanette, Y., & Bellec, P. (2019) · doi:10.31234/osf.io/n239v
Zhang, X., Li, Y., Bao, J., Guo, D., Zhang, L., Pan, L., Yin, J., & Song, Y. (2022) · Research Square · doi:10.21203/rs.3.rs-1572178/v1
Whitman, E. T., Knodt, A. R., Elliott, M. L., Abraham, W. C., Cheyne, K. R., Hogan, S., Ireland, D. R., Keenan, R. J., Leung, J., Melzer, T. R., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad109
Single-value fMRI scores reflect both stage and risk across the Alzheimer’s disease continuumPreprint
Soch, J., Richter, A., Kizilirmak, J. M., Schütze, H., Ziegler, G., Altenstein, S., Brosseron, F., Dechent, P., Fließbach, K., Freiesleben, S. D., et al. (2023) · medRxiv · doi:10.1101/2023.10.11.23296891
Functional network dynamics of music listening and effects of age
Belden, A. G. (2023) · doi:10.17760/d20581910
The Interaction Effects of Sex, Age, APOE and Common Health Risk Factors on Human Brain FunctionsPreprint
Li, T., Chen, J., Zhao, B., Garden, G. A., Giovanello, K. S., Guorong Wu, A., & Hongtu Zhu, B. (2024) · medRxiv · doi:10.1101/2024.08.05.24311482
Gu, Y., Guo, L., Cai, X., Yang, Q., Sun, J., Li, Y., Zhu, J., Zhang, W., Huang, P., Jiang, Y., et al. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16559
Shimojo, S., & Akama, H. (2023) · Qeios · doi:10.32388/rwzh4y.2
Wang, X., Herold, C. J., Kong, L., Chan, R. C. K., & Schröder, J. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121374 · Cited by 1
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