The DOI matches its Crossref record; 156 of the 156 references it cites were found in a registry or an index.
Insights into the ageing mind: a view from cognitive neuroscience
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“Neuroinflammation can directly damage neurons, impair synaptic plasticity, and disrupt neuronal networks, leading to cognitive decline and functional impairments5–7.”
From MT1-MMP inhibition rejuvenates ageing brain and rescues cognitive deficits in obesity (2025) · cites this paper as [5]
In the citing paper
“Regional reductions occur during aging, and become more pervasive with MCI and AD [195, 196].”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [195]
In the citing paper
“These changes typically manifest at ages younger than those at which plaque deposition typically begins.”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [195]
In the citing paper
“Lastly, it is worth noting that at least some elements of cognitive decline evolve throughout adulthood [195, 242-245].”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [195]
In the citing paper
“Cognitive speed and multitasking abilities, for example, become less robust with advancing age.”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [195]
In the citing paper
“These neuroimaging studies show advancing age and prefrontal cortical atrophy positively correlate, while hippocampal volumes change to a lesser extent.”
From Brain aging, Alzheimer's disease, and mitochondria (2011) · cites this paper as [15]
In the citing paper
“Memory encoding, working memory (a component of executive function), and processing speed all decline with age. Although this decline probably proceeds throughout adulthood it truly becomes evident after the age of 60. Semantic knowledge and autobiographical memory, on the other hand, tend to remain intact.”
From Brain aging, Alzheimer's disease, and mitochondria (2011) · cites this paper as [15]
In the citing paper
“Cognitive decline, primarily in executive functioning and memory formation, is one of the most pronounced consequences of aging (Daselaar et al, 2006;Hedden and Gabrieli, 2004;Townsend et al, 2006).”
From Microglia Priming with Aging and Stress (2017) · cites this paper as Hedden and Gabrieli, 2004
Citations
Cites
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
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
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
An application of prefrontal cortex function theory to cognitive aging.
West, R. L. (1996) · Psychological Bulletin · doi:10.1037/0033-2909.120.2.272 · Cited by 2,157
Hemispheric asymmetry reduction in older adults: the HAROLD model
Cabeza, R. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.1.85 · Cited by 2,125
Hemispheric asymmetry reduction in older adults: The HAROLD model.
Cabeza, R. E. L. (2002) · Psychology and Aging · doi:10.1037//0882-7974.17.1.85 · Cited by 2,054
Socioemotional selectivity theory and the regulation of emotion in the second half of life
Carstensen, L. L., Fung, H. H., & Charles, S. T. (2003) · Motivation and Emotion · doi:10.1023/a:1024569803230 · Cited by 1,978
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
Models of visuospatial and verbal memory across the adult life span.
Park, D. C., Lautenschlager, G. J., Hedden, T., Davidson, N. S., Smith, A. D., & Smith, P. K. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.2.299 · Cited by 1,929
Self-citation
Cited by
Sorted by citations
Items 301–400 of 1,006
Stereotype Threat Can Both Enhance and Impair Older Adults’ Memory
Barber, S. J., & Mather, M. (2013) · Psychological Science · doi:10.1177/0956797613497023 · Cited by 96
The effect of non-visual working memory load on top-down modulation of visual processing
Rissman, J., Gazzaley, A. H., & D’Esposito, M. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.01.036 · Cited by 101
James, C. E., ALTENMÜLLER, E. O., Kliegel, M., Krüger, T. H. C., Ville, D. V. D., Worschech, F., Abdili, L., Scholz, D. S., Jünemann, K., Hering, A., et al. (2020) · BMC Geriatrics · doi:10.1186/s12877-020-01761-y · Cited by 105
Thuwal, K., Banerjee, A., & Roy, D. (2021) · eNeuro · doi:10.1523/eneuro.0224-21.2021 · Cited by 100
Brett, C. E., Gow, A. J., Corley, J., Pattie, A., Starr, J. M., & Deary, I. J. (2011) · Quality of Life Research · doi:10.1007/s11136-011-9951-2 · Cited by 101
Harty, S., Robertson, I. H., Miniussi, C., Sheehy, O. C., Devine, C. A., McCreery, S., & O’Connell, R. G. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.5308-13.2014 · Cited by 94
Ladenbauer, J., Külzow, N., Paßmann, S., Antonenko, D., Grittner, U., Tamm, S., & Flöel, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.057 · Cited by 102
Ageing and organisation strategies in free recall: The role of cognitive flexibility
Taconnat, L., Raz, N., Toczé, C., Bouazzaoui, B., Sauzeon, H., Fay, S., & Isingrini, M. L. (2009) · The European Journal of Cognitive Psychology · doi:10.1080/09541440802296413 · Cited by 119
Zhou, S., Fan, J., Lee, T. M. C., Wang, C., & Wang, K. (2011) · Brain and Cognition · doi:10.1016/j.bandc.2010.12.003 · Cited by 104
Franz, C. E., O’Brien, R. C., Hauger, R. L., Mendoza, S. P., Panizzon, M. S., Prom‐Wormley, E. C., Eaves, L. J., Jacobson, K. C., Lyons, M. J., LUPIEN, S. J., et al. (2011) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2011.01.002 · Cited by 95
Structural brain correlates of human sleep oscillations
Saletin, J. M., van der Helm, E., & Walker, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.021 · Cited by 93
Xu, J., Gao, H. Y., Zhang, L., Rong, S., Yang, W. Q., Ma, C., Chen, M., Huang, Q., Deng, Q., & Huang, F. (2019) · Journal of Pineal Research · doi:10.1111/jpi.12584 · Cited by 93
Brain aging patterns in a large and diverse cohort of 49,482 individuals
Yang, Z., Wen, J., Erus, G., Govindarajan, S. T., Melhem, R., Mamourian, E., Cui, Y., Srinivasan, D., Abdulkadir, A., Parmpi, P., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03144-x · Cited by 102
Junkkila, J., Oja, S., Laine, M., & Karrasch, M. (2012) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000342116 · Cited by 103
What people believe about memory
Magnussen, S. J., Andersson, J., Cornoldi, C., Béni, R. D., Endestad, T., Goodman, G. S., Helstrup, T., Koriat, A., Larsson, M. U., Melinder, A. M. D., et al. (2006) · Memory · doi:10.1080/09658210600646716 · Cited by 102
Neural Mechanisms of Reading Facial Emotions in Young and Older Adults
Ebner, N. C., Johnson, M. K., & Fischer, H. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00223 · Cited by 103
Peri-encoding predictors of memory encoding and consolidation
Cohen, N., Pell, L., Edelson, M. G., Ben-Yakov, A., Pine, A., & Dudai, Y. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.11.002 · Cited by 98
Bastin, M. E., Clayden, J. D., Pattie, A., Gerrish, I. F., Wardlaw, J. M., & Deary, I. J. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.05.013 · Cited by 92
Shenkin, S. D., Bastin, M. E., MacGillivray, T. J., Deary, I. J., Starr, J. M., Rivers, C. S., & Wardlaw, J. M. (2005) · Cerebrovascular Diseases · doi:10.1159/000087930 · Cited by 92
Occupational aluminum exposure: Evidence in support of its neurobehavioral impact
Meyer-Baron, M., Schäper, M., Knapp, G., & van Thriel, C. (2007) · NeuroToxicology · doi:10.1016/j.neuro.2007.07.001 · Cited by 92
Age-related differences in medial prefrontal activation in response to emotional images
Leclerc, C. M., & Kensinger, E. A. (2008) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.8.2.153 · Cited by 95
Nguyen, J., Suarez, A., Kemoun, G., Meignier, M., Saout, E. L., Damier, P., Nizard, J., & Lefaucheur, J. (2017) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2017.01.001 · Cited by 92
Longitudinal Neuropsychological Performance of Cognitive SuperAgers
Gefen, T. D., Shaw, E. E., Whitney, K. R., Martersteck, A., Stratton, J. M. B., RADEMAKER, A. W., Weıntraub, S., Mesulam, M. M., & Rogalski, E. J. (2014) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12967 · Cited by 91
Joo, S. H., Lim, H. K., & Lee, C. U. (2016) · Psychiatry Investigation · doi:10.4306/pi.2016.13.1.1 · Cited by 94
Sleep disordered breathing at the extremes of age: the elderly
McMillan, A., & Morrell, M. J. (2016) · Breathe · doi:10.1183/20734735.003216 · Cited by 95
Resting-State Network Topology Differentiates Task Signals across the Adult Life Span
Chan, M. Y., Alhazmi, F. H., Park, D. C., Savalia, N. K., & Wig, G. S. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2406-16.2017 · Cited by 98
Brain morphology, cognition, and β-amyloid in older adults with superior memory performance
Harrison, T. M., Maaß, A., Baker, S. L., & Jagust, W. J. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.03.024 · Cited by 91
Hedden, T., & Gabrieli, J. D. E. (2005) · Current Opinion in Neurology · doi:10.1097/01.wco.0000189875.29852.48 · Cited by 91
Self-citationBrickman, A. M., & Stern, Y. (2009) · Elsevier eBooks · doi:10.1016/b978-008045046-9.00745-2 · Cited by 99
Hargis, K. E., & Blalock, E. M. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.05.007 · Cited by 90
Zapparoli, L., Mariano, M., & Paulesu, E. (2022) · Communications Biology · doi:10.1038/s42003-022-03027-2 · Cited by 97
Physical activity and working memory in healthy older adults: An ERP study
Chang, Y., Huang, C., Chen, K., & Hung, T. (2013) · Psychophysiology · doi:10.1111/psyp.12089 · Cited by 103
Evidence of Tau Hyperphosphorylation and Dystrophic Microglia in the Common Marmoset
Rodríguez-Callejas, J. D., Fuchs, E., & Perez‐Cruz, C. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00315 · Cited by 94
Naik, S., Banerjee, A., Bapi, R. S., Deco, G., & Roy, D. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.04.007 · Cited by 89
Cognitively Stimulating Leisure Activity and Subsequent Cognitive Function: A SHARE-based Analysis
Litwin, H., Cohn‐Schwartz, E., & Damri, N. (2016) · The Gerontologist · doi:10.1093/geront/gnw084 · Cited by 91
Levit, A., Hachinski, V., & Whitehead, S. N. (2020) · GeroScience · doi:10.1007/s11357-020-00164-6 · Cited by 96
Nut Consumption for Cognitive Performance: A Systematic Review
Theodore, L. E., Kellow, N. J., McNeil, E. A., Close, E. O., Coad, E. G., & Cardoso, B. R. (2020) · Advances in Nutrition · doi:10.1093/advances/nmaa153 · Cited by 92
Amyloid Deposition Is Linked to Aberrant Entorhinal Activity among Cognitively Normal Older Adults
Huijbers, W., Mormino, E. C., Wigman, S. E., Ward, A. M., Vannini, P., McLaren, D. G., Becker, J. A., Schultz, A. P., Hedden, T., Johnson, K. A., et al. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3579-13.2014 · Cited by 91
Self-citationBecerra, J., Fernández, T., Roca-Stappung, M., Dı́az-Comas, L., Galán, L., Bosch, J., Espino, M., Moreno, A. J., & Harmony, T. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-111055 · Cited by 89
Committing memory errors with high confidence: Older adults do but children don't
Shing, Y. L., Werkle‐Bergner, M., Li, S., & Lindenberger, U. (2008) · Memory · doi:10.1080/09658210802190596 · Cited by 89
Laguë-Beauvais, M., Brunet, J., Gagnon, L., Lesage, F., & Bherer, L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.042 · Cited by 99
Stereotype Threat Effects on Older Adults’ Episodic and Working Memory: A Meta-Analysis
Armstrong, B. A., Gallant, S. N., Li, L., Patel, K., & Wong, B. I. (2017) · The Gerontologist · doi:10.1093/geront/gnx056 · Cited by 105
Healthy brain aging: Interplay between reactive species, inflammation and energy supply
Garaschuk, O., Semchyshyn, H. M., & Lushchak, V. I. (2018) · Ageing Research Reviews · doi:10.1016/j.arr.2018.02.003 · Cited by 91
Levodopa increases memory encoding and dopamine release in the striatum in the elderly.
Flöel, A., Garraux, G., Xu, B., Breitenstein, C., Knecht, S., Herscovitch, P., & Cohen, L. G. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.10.009 · Cited by 95
Roestorf, A., Bowler, D. M., Deserno, M. K., Howlin, P., Klinger, L., McConachie, H., Parr, J. R., Powell, P., Van Heijst, B. F. C., & Geurts, H. M. (2019) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2018.08.007 · Cited by 87
Cognition, Persuasion and Decision Making in Older Consumers
Yoon, C., Laurent, G., Fung, H. H.-L., Gonzalez, R., Gutchess, A. H., Hedden, T., Lambert-Pandraud, R., Mather, M., Park, D. C., Peters, E. M., et al. (2005) · Marketing Letters · doi:10.1007/s11002-005-5903-3 · Cited by 87
Self-citationAlemany, S., Vilor‐Tejedor, N., García‐Esteban, R., Bustamante, M., Dadvand, P., Esnaola, M., Mortamais, M., Forns, J., van Drooge, B. L., Álvarez‐Pedrerol, M., et al. (2018) · Environmental Health Perspectives · doi:10.1289/ehp2246 · Cited by 86
Rajji, T. K., Voineskos, A. N., Butters, M. A., Miranda, D., Arenovich, T., Menon, M., Ismail, Z., Kern, R. S., & Mulsant, B. H. (2013) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2012.10.011 · Cited by 88
ERP correlates of item recognition memory: Effects of age and performance
Wolk, D. A., Sen, N. M., Chong, H., Riis, J. L., McGinnis, S. M., Holcomb, P. J., & Daffner, K. R. (2008) · Brain Research · doi:10.1016/j.brainres.2008.11.014 · Cited by 86
Quantitative fMRI and oxidative neuroenergetics
Hyder, F., & Rothman, D. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.027 · Cited by 88
Cognition, aging, and disabilities: conceptual issues
Borson, S. (2010) · Physical Medicine and Rehabilitation Clinics of North America · doi:10.1016/j.pmr.2010.01.001 · Cited by 85
Arnardottir, N. Y., Koster, A., Domelen, D. R. V., Brychta, R. J., Caserotti, P., Eiríksdóttir, G., Sverrisdottir, J. E., Sigurdsson, S. O., Jóhannsson, E., Chen, K. Y., et al. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.09.005 · Cited by 92
Tang, C. Y., Eaves, E. L., Ng, J., Carpenter, D. M., Mai, X., Schroeder, D. H., Condon, C. A., Colom, R., & Haier, R. J. (2010) · Intelligence · doi:10.1016/j.intell.2010.03.003 · Cited by 87
Exercise-Related Changes of Networks in Aging and Mild Cognitive Impairment Brain
Huang, P., Fang, R., Li, B., & Chen, S. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00047 · Cited by 89
Denver, P., & McClean, P. L. (2018) · Neural Regeneration Research · doi:10.4103/1673-5374.238608 · Cited by 89
Glymour, M. M., Tzourio, C., & Dufouil, C. (2012) · American Journal of Epidemiology · doi:10.1093/aje/kwr509 · Cited by 84
Camfield, D., Scholey, A. B., Pipingas, A., Silberstein, R. B., Kras, M., Nolidin, K., Wesnes, K. A., Pase, M. P., & Stough, C. K. K. (2011) · Physiology & Behavior · doi:10.1016/j.physbeh.2011.11.013 · Cited by 84
Age-associated Cognitive Decline: Insights into Molecular Switches and Recovery Avenues
Konar, A., Singh, P., & Thakur, M. K. (2016) · Aging and Disease · doi:10.14336/ad.2015.1004 · Cited by 86
Aging affects acquisition and reversal of reward-based associative learningPreprint
Weiler, J. A., Bellebaum, C., & Daum, I. (2008) · Learning & Memory · doi:10.1101/lm.890408 · Cited by 84
Brain volumetric changes and cognitive ageing during the eighth decade of life
Ritchie, S. J., Dickie, D. A., Cox, S. R., Hernández, M. D. C. V., Corley, J., Royle, N. A., Pattie, A., Aribisala, B. S., Redmond, P. H., Maniega, S. M., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.22959 · Cited by 88
Cerebellar brain volume accounts for variance in cognitive performance in older adults
Hogan, M., Staff, R. T., Bunting, B. P., Murray, A. D., Ahearn, T. S., Deary, I. J., & Whalley, L. J. (2010) · Cortex · doi:10.1016/j.cortex.2010.01.001 · Cited by 83
Schweizer, S., Kievit, R., Emery, T., Cam-CAN, & Henson, R. N. (2017) · Psychological Medicine · doi:10.1017/s0033291717001519 · Cited by 87
A review of creatine supplementation in age-related diseases: more than a supplement for athletes
Smith, R. N., Agharkar, A. S., & Gonzales, E. B. (2014) · F1000Research · doi:10.12688/f1000research.5218.1 · Cited by 82
Age-related changes in sleep and memory: commonalities and interrelationships
Hornung, O. P., Danker‐Hopfe, H., & Heuser, I. (2005) · Experimental Gerontology · doi:10.1016/j.exger.2005.02.001 · Cited by 86
Shaw, E. E., Schultz, A. P., Sperling, R. A., & Hedden, T. (2015) · Brain Connectivity · doi:10.1089/brain.2014.0327 · Cited by 82
Self-citationAn fMRI study of risk‐taking following wins and losses: Implications for the gambler's fallacy
Xue, G., Lu, Z., Levin, I. P., & Bechara, A. (2010) · Human Brain Mapping · doi:10.1002/hbm.21015 · Cited by 89
Number skills are maintained in healthy ageing
Cappelletti, M., Didino, D., Stoianov, I. P., & Zorzi, M. (2014) · Cognitive Psychology · doi:10.1016/j.cogpsych.2013.11.004 · Cited by 83
Reduced Basal Ganglia Function When Elderly Switch between Coordinated Movement Patterns
Coxon, J. P., Goble, D. J., Impe, A. V., Vos, J. D., Wenderoth, N., & Swinnen, S. P. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp306 · Cited by 82
Age and amyloid-related alterations in default network habituation to stimulus repetition
Vannini, P., Hedden, T., Becker, J. A., Sullivan, C., Putcha, D., Rentz, D. M., Johnson, K. A., & Sperling, R. A. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.01.003 · Cited by 86
Self-citationThe affective neuropsychology of confabulation and delusion
Fotopoulou, A. (2009) · Cognitive Neuropsychiatry · doi:10.1080/13546800903250949 · Cited by 81
Inhibitory control and symptom severity in late life generalized anxiety disorder.
Price, R., & Mohlman, J. (2007) · Behaviour Research and Therapy · doi:10.1016/j.brat.2007.06.007 · Cited by 82
Estrogens and memory in physiological and neuropathological conditions
Pompili, A., Arnone, B., & Gasbarri, A. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2012.01.007 · Cited by 84
Failure to Modulate Attentional Control in Advanced Aging Linked to White Matter Pathology
Hedden, T., Dijk, K. R. A. V., Shire, E. H., Sperling, R. A., Johnson, K., & Buckner, R. L. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr172 · Cited by 84
Self-citationFalse selves in neuropsychological rehabilitation: the challenge of confabulation
Fotopoulou, A. (2008) · Neuropsychological Rehabilitation · doi:10.1080/09602010802083545 · Cited by 80
Aging-related decline in somatosensory inhibition of the human cerebral cortex
Cheng, C., & Lin, Y. (2013) · Experimental Brain Research · doi:10.1007/s00221-013-3420-9 · Cited by 81
In the ear of the beholder: How age shapes emotion processing in nonverbal vocalizations.
Lima, C. F., Alves, T. J. S., Scott, S. K., & Castro, S. L. (2013) · Emotion · doi:10.1037/a0034287 · Cited by 90
Khoo, S. S., & Yang, H. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106388 · Cited by 80
Rieckmann, A., Karlsson, S., Fischer, H., & Bäckman, L. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3114-11.2011 · Cited by 80
Glahn, D. C., Kent, J. W., Sprooten, E., Diego, V. P., Winkler, A. M., Curran, J. E., McKay, D., Knowles, E. E. M., Carless, M. A., Göring, H. H. H., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1313735110 · Cited by 84
Resting-State Functional Connectivity Changes in Aging apoE4 and apoE-KO Mice
Zerbi, V., Wiesmann, M., Emmerzaal, T. L., Jansen, D., Beek, M. V., Mutsaers, M. P. C., Beckmann, C. F., Heerschap, A., & Kiliaan, A. J. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0684-14.2014 · Cited by 82
Understanding the interplay of sleep and aging: Methodological challenges
Muehlroth, B. E., & Werkle‐Bergner, M. (2020) · Psychophysiology · doi:10.1111/psyp.13523 · Cited by 87
Aging, Neurodegenerative Disorders, and Cerebellum
Iskusnykh, I. Y., Zakharova, A. A., Крыльский, Е. Д., & Попова, Т. Н. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25021018 · Cited by 79
Lee, I.-J., Chen, C., & Chang, K.-P. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.09.014 · Cited by 81
Age-specific effects of voluntary exercise on memory and the older brain
Siette, J., Westbrook, R. F., Cotman, C., Sidhu, K., Zhu, W., Sachdev, P., & Valenzuela, M. J. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.05.034 · Cited by 78
Cognitive performance across the life course of Bolivian forager-farmers with limited schooling.
Gurven, M., Fuerstenberg, E., Trumble, B. C., Stieglitz, J., Beheim, B., Davis, H. E., & Kaplan, H. S. (2016) · Developmental Psychology · doi:10.1037/dev0000175 · Cited by 81
Nakling, A. E., Aarsland, D., Næss, H., Wollschlaeger, D., Fladby, T., Hofstad, H., & Wehling, E. I. (2017) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000478851 · Cited by 87
Social economic decision-making across the lifespan: An fMRI investigation
Harlé, K. M., & Sanfey, A. G. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.02.026 · Cited by 78
Superficial white matter as a novel substrate of age-related cognitive decline
Nazeri, A., Chakravarty, M. M., Rajji, T. K., Felsky, D., Rotenberg, D. J., Mason, M., Xu, L. N., Lobaugh, N. J., Mulsant, B. H., & Voineskos, A. N. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.02.022 · Cited by 80
Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., Fukushima, A., & Kawashima, R. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.08.022 · Cited by 80
Godde, B. (2010) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2010.00139 · Cited by 78
Zhang, J., Andreano, J. M., Dickerson, B. C., Touroutoglou, A., & Barrett, L. F. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz071 · Cited by 81
Context-dependent extinction of threat memories: influences of healthy aging
Battaglia, S., Garofalo, S., & di Pellegrino, G. (2018) · Scientific Reports · doi:10.1038/s41598-018-31000-9 · Cited by 77
Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease
Giorgio, J., Landau, S. M., Jagust, W. J., Peter Tiňo, B., & Kourtzi, Z. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102199 · Cited by 79
Shamy, J. L., Buonocore, M. H., Makaron, L., Amaral, D. G., Barnes, C. A., & Rapp, P. R. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.07.019 · Cited by 80
Vascular risk factors, cerebrovascular reactivity, and the default-mode brain network
Haight, T. J., Bryan, R. N., Erus, G., Davatzikos, C. A., Jacobs, D. R., D’Esposito, M., Lewis, C. E., & Launer, L. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.039 · Cited by 82
Differential effects of age and history of hypertension on regional brain volumes and iron
Rodrigue, K. M., Haacke, E. M., & Raz, N. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.068 · Cited by 80
The Psychological Science of Human Ageing
Baltes, P. B., Freund, A. M., & Li, S. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511610714.006 · Cited by 85
Fabiani, M., Low, K. A., Tan, C. H., Zimmerman, B., Fletcher, M. A., Schneider‐Garces, N., Maclin, E. L., Chiarelli, A. M., Sutton, B. P., & Gratton, G. (2014) · Psychophysiology · doi:10.1111/psyp.12288 · Cited by 80
The Hippocampal Neuroproteome with Aging and Cognitive Decline: Past Progress and Future Directions
VanGuilder, H. D., & Freeman, W. M. (2011) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2011.00008 · Cited by 78
Selective attention to emotion in the aging brain.
Samanez-Larkin, G. R., Robertson, E. R., Mikels, J. A., Carstensen, L. L., & Gotlib, I. H. (2009) · Psychology and Aging · doi:10.1037/a0016952 · Cited by 76
Metadata
- Authors
- Hedden, T., & Gabrieli, J. D. E.
- Affiliations
- Stanford University (US)
- Corresponding author
- Hedden, Trey
- Venue
- Nature Reviews Neuroscience
- Published
- 2004-02
- Volume
- 5
- Issue
- 2
- Pages
- 87-96
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W2171776652
- Semantic Scholar
- 3add9431310756b012e801809baba765dfdfcf68
- Cited by
- 2,223
- References
- 148
- Citations by year
- 2026: 68 · 2025: 79 · 2024: 111 · 2023: 121 · 2022: 128 · 2021: 142 · 2020: 133 · 2019: 141 · 2018: 124 · 2017: 134 · 2016: 132 · 2015: 127 · 2014: 118 · 2013: 123 · 2012: 114
- FWCI
- 5.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- cognitive aging, age-related memory decline, cognitive slowing, prefrontal cortex, medial temporal lobe, white matter tracts
- MeSH terms
- Aging, Animals, Atrophy, Brain, Brain Mapping, Cognition Disorders, Humans, Memory Disorders, Nerve Fibers, Myelinated, Neural Pathways
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
