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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.
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“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]
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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
Searching for a baseline: Functional imaging and the resting human brain
Gusnard, D. A., & Raichle, M. E. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094500 · Cited by 3,371
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
Wandering minds: the default network and stimulus-independent thought
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007) · Science · doi:10.1126/science.1131295 · Cited by 2,792
Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786
Region of interest analysis using an SPM toolbox
Brett, M. (2002) · NeuroImage · Cited by 2,273
Analysis of fMRI Time-Series Revisited—Again
Worsley, K. J., & Friston, K. J. (1995) · NeuroImage · doi:10.1006/nimg.1995.1023 · Cited by 2,198
On the probable error of a coefficient of correlation deduced from a small sample
Fisher, R. A. (1921) · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · Cited by 2,089
Aging Gracefully: Compensatory Brain Activity in High-Performing Older Adults
Cabeza, R., Anderson, N. D., Locantore, J. K., & McIntosh, A. R. (2002) · NeuroImage · doi:10.1006/nimg.2002.1280 · Cited by 1,964
Neural plasticity in the ageing brain
Burke, S. N., & Barnes, C. A. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1809 · Cited by 1,709
The principal features and mechanisms of dopamine modulation in the prefrontal cortex
Seamans, J. K., & Yang, C. R. (2004) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2004.05.006 · Cited by 1,592
Disruption of Large-Scale Brain Systems in Advanced Aging
Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.038 · Cited by 1,592
2007 IEEE International Conference on Acoustics, Speech, and Signal Processing
(2007) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2007.366148 · Cited by 1,530
Deconvolution of Impulse Response in Event-Related BOLD fMRI1
Glover, G. H. (1999) · NeuroImage · doi:10.1006/nimg.1998.0419 · Cited by 1,411
Fransson, P. (2005) · Human Brain Mapping · doi:10.1002/hbm.20113 · Cited by 1,388
Reduced resting-state brain activity in the “default network” in normal aging
Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J. S., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Rombouts, S. A. R. B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm207 · Cited by 1,187 · cited 1×
“Damoiseaux et al. (2007) have previously shown that age-related decline of functional brain connectivity within the DMN remains significant after correcting for age-related changes in gray matter volume (total and regional).”
BackgroundA Parametric Manipulation of Factors Affecting Task-induced Deactivation in Functional Neuroimaging
McKiernan, K. A., Kaufman, J. N., Kucera-Thompson, J., & Binder, J. R. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321593117 · Cited by 1,080
Age differences in the frontal lateralization of verbal and spatial working memory revealed by PET
Reuter-Lorenz, P. A., Jonides, J., Smith, E. E., Hartley, A., Miller, A., Marshuetz, C., & Koeppe, R. A. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/089892900561814 · Cited by 998
First, M. B., Spitzer, R. L., Gibbon, M., & Williams, J. B. W. (1997) · American Psychiatric Press eBooks · Cited by 983
Top-down suppression deficit underlies working memory impairment in normal aging
Gazzaley, A., Cooney, J. W., Rissman, J., & D'Esposito, M. (2005) · Nature Neuroscience · doi:10.1038/nn1543 · Cited by 934
Mazoyer, B., Zago, L., Mellet, E., Bricogne, S., Etard, O., Houdé, O., Crivello, F., Joliot, M., Petit, L., & Tzourio-Mazoyer, N. (2001) · Brain Research Bulletin · doi:10.1016/s0361-9230(00)00437-8 · Cited by 906
Sonuga-Barke, E. J. S., & Castellanos, F. X. (2007) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2007.02.005 · Cited by 890
Brain connectivity related to working memory performance
Hampson, M., Driesen, N. R., Skudlarski, P., Gore, J. C., & Constable, R. T. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3408-06.2006 · Cited by 853
Memory and Working-with-Memory: A Component Process Model Based on Modules and Central Systems
Moscovitch, M. (1992) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1992.4.3.257 · Cited by 822
The correlative triad among aging, dopamine, and cognition: Current status and future prospects
Bäckman, L., Nyberg, L. H., Lindenberger, U., Li, S., & Farde, L. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.005 · Cited by 795
Goldman‐Rakic, P. S., Selemon, L. D., & Schwartz, M. L. (1984) · Neuroscience · doi:10.1016/0306-4522(84)90166-0 · Cited by 782
Callicott, J. H. (1999) · Cerebral Cortex · doi:10.1093/cercor/9.1.20 · Cited by 771
Rombouts, S. A. R. B., Barkhof, F., Goekoop, R., Stam, C. J., & Scheltens, P. (2005) · Human Brain Mapping · doi:10.1002/hbm.20160 · Cited by 734
Functional deactivations: Change with age and dementia of the Alzheimer type
Lustig, C., Snyder, A. Z., Bhakta, M., O'Brien, K. C., McAvoy, M., Raichle, M. E., Morris, J. C., & Buckner, R. L. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2235925100 · Cited by 720
Greicius, M. D., & Menon, V. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929042568532 · Cited by 684
How default is the default mode of brain function?
Fransson, P. (2006) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.06.017 · Cited by 611
Bluhm, R. L., Miller, J., Lanius, R. A., Osuch, E. A., Boksman, K., Neufeld, R. W. J., Théberge, J., Schaefer, B., & Williamson, P. (2007) · Schizophrenia Bulletin · doi:10.1093/schbul/sbm052 · Cited by 578
Yong He, A., Wang, L. Y., Zang, Y., Tian, L., Zhang, X., Li, K., & Jiang, T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.042 · Cited by 546
Failing to deactivate: Resting functional abnormalities in autism
Kennedy, D. P., Redcay, E., & Courchesne, E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0600674103 · Cited by 543
Functional Imaging of Working Memory after 24 Hr of Total Sleep Deprivation
Chee, M. W. L., & Choo, W. C. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.0007-04.2004 · Cited by 509
THE DUALITY OF THE CINGULATE GYRUS IN MONKEY
Baleydier, C., & Mauguı̀ere, F. (1980) · Brain · doi:10.1093/brain/103.3.525 · Cited by 504
Age-related Changes in Brain Activity across the Adult Lifespan
Grady, C. L., Springer, M. V., Hongwanishkul, D., McIntosh, A. R., & Winocur, G. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.2.227 · Cited by 497
Macaque monkey retrosplenial cortex: III. Cortical efferents
Kobayashi, Y., & Amaral, D. G. (2007) · The Journal of Comparative Neurology · doi:10.1002/cne.21346 · Cited by 487
Age-Related Cognitive Deficits Mediated by Changes in the Striatal Dopamine System
Bäckman, L., Ginovart, N., Dixon, R. A., Wahlin, T. R., Wåhlin, Å., Halldin, C., & Farde, L. (2000) · American Journal of Psychiatry · doi:10.1176/ajp.157.4.635 · Cited by 473
Brain systems for encoding and retrieval of auditory—verbal memory. An in vivo study in humans
Fletcher, P. C., Frith, C., Grasby, P. M., Shallice, T., Frackowiak, R. S. J., & Dolan, R. J. (1995) · Brain · doi:10.1093/brain/118.2.401 · Cited by 441
Human brain dopamine receptors in children and aging adults
Seeman, P., Bzowej, N. H., Guan, H. ‐., Bergeron, C., Becker, L. E., Reynolds, G. P., Bird, E. D., Riederer, P., Jellinger, K., Watanabe, S., et al. (1987) · Synapse · doi:10.1002/syn.890010503 · Cited by 404
Neurophysiological correlates of age-related changes in working memory capacity
Mattay, V. S., Fera, F. S., Tessitore, A., Hariri, A. R., Berman, K. F., Das, S., Meyer‐Lindenberg, A., Goldberg, T. E., Callicott, J. H., & Weinberger, D. R. (2005) · Neuroscience Letters · doi:10.1016/j.neulet.2005.09.025 · Cited by 387
Macaque monkey retrosplenial cortex: II. Cortical afferents
Kobayashi, Y., & Amaral, D. G. (2003) · The Journal of Comparative Neurology · doi:10.1002/cne.10883 · Cited by 387
Distraction by competing speech in young and older adult listeners.
Tun, P., O'Kane, G., & Wingfield, A. (2002) · Psychology and Aging · doi:10.1037//0882-7974.17.3.453 · Cited by 345
Distraction by competing speech in young and older adult listeners.
Tun, P. A., O'Kane, G., & Wingfield, A. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.3.453 · Cited by 340
Age Differences in Deactivation: A Link to Cognitive Control?
Persson, J., Lustig, C., Nelson, J. K., & Reuter‐Lorenz, P. A. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.6.1021 · Cited by 329
Prefrontal deficits in attention and inhibitory control with aging
Chao, L. L. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.1.63 · Cited by 299
The role of the striatal dopamine transporter in cognitive aging
Erixon-Lindroth, N., Farde, L., Wahlin, T. R., Sóvágó, J., Halldin, C., & Bäckman, L. (2005) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2004.09.005 · Cited by 252
Esposito, F., Bertolino, A., Scarabino, T., Latorre, V., Blasi, G., Popolizio, T., Tedeschi, G., Cirillo, S., Goebel, R., & Salle, F. D. (2006) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2006.06.012 · Cited by 235
Architecture and connections of retrosplenial area 30 in the rhesus monkey (macaca mulatta).
Morris, R., Petrides, M., & Pandya, D. Ν. (1999) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.1999.00672.x · Cited by 226
Age-related decline in striatal dopamine transporter binding with iodine-123-beta-CITSPECT.
van Dyck, C. H., Seibyl, J. P., Malison, R. T., Laruelle, M. A., Wallace, E. A., Zoghbi, S. S., Zea‐Ponce, Y., Baldwin, R. M., Charney, D. S., & Hoffer, P. B. (1995) · PubMed · Cited by 226
Age-related decrements in stroop color test performance
Cohn, N. B., Dustman, R. E., & Bradford, D. C. (1984) · Journal of Clinical Psychology · doi:10.1002/1097-4679(198409)40:5 · Cited by 211
Tomasi, D. G., Ernst, T., Caparelli, E. C., & Chang, L. (2006) · Human Brain Mapping · doi:10.1002/hbm.20211 · Cited by 201
Early detection of Alzheimer’s disease using neuroimaging
Mosconi, L., Bryś, M., Głodzik-Sobańska, L., Santi, S. D., Rusinek, H., & de Leon, M. J. (2006) · Experimental Gerontology · doi:10.1016/j.exger.2006.05.016 · Cited by 196
Breakspear, M. J., Terry, J. R., & Friston, K. J. (2003) · Network Computation in Neural Systems · doi:10.1088/0954-898x/14/4/305 · Cited by 176
Prefrontal-Hippocampal Coupling During Memory Processing Is Modulated by COMT Val158Met Genotype
Bertolino, A., Rubino, V., Sambataro, F., Blasi, G., Latorre, V., Fazio, L., Caforio, G., Petruzzella, V., Kolachana, B. S., Hariri, A. R., et al. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.03.078 · Cited by 174
Age-Related Cognitive Deficits Mediated by Changes in the Striatal Dopamine System
Bckman, L. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.4.635 · Cited by 173
Parallel loss of presynaptic and postsynaptic dopamine markers in normal aging
Volkow, N. D., Wang, G., Fowler, J. S., Ding, Y., Gur, R. C., Gatley, J. S., Logan, J., Moberg, P. J., Hitzemann, R., Smith, G., et al. (1998) · Annals of Neurology · doi:10.1002/ana.410440125 · Cited by 172
Attentional disregulation: A benefit for implicit memory.
Rowe, G., Valderrama, S., Hasher, L., & Lenartowicz, A. (2006) · Psychology and Aging · doi:10.1037/0882-7974.21.4.826 · Cited by 167
Ageing and the nigrostriatal dopaminergic system
Reeves, S., Bench, C. J., & Howard, R. J. (2002) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.606 · Cited by 140
Performance-related activity in medial rostral prefrontal cortex (area 10) during low-demand tasks.
Gilbert, S. J., Simons, J. S., Frith, C., & Burgess, P. W. (2006) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.32.1.45 · Cited by 125
Comparison of Blind Source Separation Algorithms for FMRI Using a New Matlab Toolbox: GIFT
Correa, N. M., Adalı, T., Li, Y., & Calhoun, V. D. (2006) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2005.1416325 · Cited by 123
Effects of age on dopamine transporters in healthy humans.
Mozley, P. D., Acton, P. D., Barraclough, E. D., Plößl, K., Gur, R. C., Alavi, A. A., Mathur, A., Saffer, J. R., & Kung, H. F. (1999) · PubMed · Cited by 116
Age-related deficits in component processes of working memory.
Gazzaley, A. H., Sheridan, M. A., Cooney, J. W., & D’Esposito, M. (2007) · Neuropsychology · doi:10.1037/0894-4105.21.5.532 · Cited by 107
Rinne, J. O., Sahlberg, N., Ruottinen, H., Någren, K., & Lehikoinen, P. (1998) · Neurology · doi:10.1212/wnl.50.1.152 · Cited by 105
Spontaneous Low-Frequency Oscillations Decline in the Aging Brain
Schroeter, M. L., Schmiedel, O., & von Cramon, D. Y. (2004) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/01.wcb.0000135231.90164.40 · Cited by 103
Visual distraction, working memory, and aging
West, R. (1999) · Memory & Cognition · doi:10.3758/bf03201235 · Cited by 91
Seamans, J. K., Gorelova, N. A., & Yang, C. R. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-15-05936.1997 · Cited by 85
ZEEF, E. J., SONKE, C. J., KOK, A., BUITEN, M. M., & KENEMANS, J. L. (1996) · Psychophysiology · doi:10.1111/j.1469-8986.1996.tb02432.x · Cited by 84
Age , Target - Distractor Similarity , and Visual Search
Scialfa, C. T. (1998) · Experimental Aging Research · doi:10.1080/036107398244184 · Cited by 76
Age Correlation of the Time Lag in Signal Change on EPI-fMRI
Taoka, T., Iwasaki, S., Uchida, H., Fukusumi, A., Nakagawa, H., Kichikawa, K., Takayama, K., Yoshioka, T., Takewa, M., & Ohishi, H. (1998) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199807000-00002 · Cited by 76
Age-correlated loss of dopamine uptake sites labeled with [3H]GBR-12935 in human putamen
Allard, P. O., & MARCUSSON, J. (1989) · Neurobiology of Aging · doi:10.1016/0197-4580(89)90001-8 · Cited by 70
Gould, R. L., Brown, R. G., Owen, A. M., Bullmore, E. T., & Howard, R. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.12.045 · Cited by 68
Age-related changes in D2 receptor binding with iodine-123-iodobenzofuran SPECT.
Ichise, M., Ballinger, J. R., Tanaka, F., Moscovitch, M., George‐Hyslop, P. S., Raphael, D., & Freedman, M. (1998) · PubMed · Cited by 66
Synchronization as a mechanism for attentional gain modulation
Tiesinga, P. H. E., Fellous, J., Salinas, E., José, J. V., & B, T. J. S. A. (2004) · Neurocomputing · doi:10.1016/j.neucom.2004.01.108 · Cited by 56
Age-related changes in the signaling and function of vascular smooth muscle cells
Lundberg, M. S., & Crow, M. T. (1999) · Experimental Gerontology · doi:10.1016/s0531-5565(99)00036-4 · Cited by 54
Temporally Graded Activation of Neocortical Regions in Response to Memories of Different Ages
Woodard, J. L., Seidenberg, M., Nielson, K. A., Miller, S. K., Franczak, M. B., Antuono, P., Douville, K. L., & Rao, S. M. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.7.1113 · Cited by 48
Aging and brain activation with working memory tasks: an fMRI study of connectivity
Cook, I. A., Bookheimer, S. Y., Mickes, L., Leuchter, A. F., & Kumar, A. (2007) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1678 · Cited by 39
G�ssl, C., Auer, D. P., & Fahrmeir, L. (2000) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(200001)43:1 · Cited by 33
Ciliax (1999) · doi:10.1002/(sici)1096-9861(19990621)409:1
Xiong (1999) · doi:10.1002/(sici)1097-0193(1999)8:2/3
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.
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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 ›
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