The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Selective aging of the human cerebral cortex observed in vivo: differential vulnerability of the prefrontal gray matter
Abstract
In a prospective cross-sectional study, we used computerized volumetry of magnetic resonance images to examine the patterns of brain aging in 148 healthy volunteers. The most substantial age-related decline was found in the volume of the prefrontal gray matter. Smaller age-related differences were observed in the volume of the fusiform, inferior temporal and superior parietal cortices. The effects of age on the hippocampal formation, the postcentral gyrus, prefrontal white matter and superior parietal white matter were even weaker. No significant age-related differences were observed in the parahippocampal and anterior cingulate gyri, inferior parietal lobule, pericalcarine gray matter, the precentral gray and white matter, postcentral white matter and inferior parietal white matter. The volume of the total brain volume and the hippocampal formation was larger in men than in women even after adjustment for height. Inferior temporal cortex showed steeper aging trend in men. Small but consistent rightward asymmetry was found in the whole cerebral hemispheres, superior parietal, fusiform and orbito-frontal cortices, postcentral and prefrontal white matter. The left side was larger than the right in the dorsolateral prefrontal, parahippocampal, inferior parietal and pericalcarine cortices, and in the parietal white matter. However, there were no significant differences in age trends between the hemispheres.
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.
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 CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Cohen, J. (1992) · Current Directions in Psychological Science · doi:10.1111/1467-8721.ep10768783 · Cited by 5,870
Tests for comparing elements of a correlation matrix
Steiger, J. H. (1980) · Psychological Bulletin · doi:10.1037/0033-2909.87.2.245 · Cited by 4,621 · cited 2×
“between the variables correlated with age (Steiger, 1980).”
MethodBlessed, G., Tomlinson, B. E., & Roth, M. (1968) · British Journal of Psychiatry · doi:10.1192/bjp.114.512.797 · Cited by 4,117
Haug, H. (1987) · American Journal of Anatomy · doi:10.1002/aja.1001800203 · Cited by 481 · cited 1×
“Furthermore, Haug (1987) estimated that secular increases in stature are 1 mm/year, which amounts to ∼0.6%/decade.”
BackgroundInfluentialWilliams, S. M., & Goldman-Rakic, P. S. (1993) · Cerebral Cortex · doi:10.1093/cercor/3.3.199 · Cited by 284
Cited by
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
Regional Brain Changes in Aging Healthy Adults: General Trends, Individual Differences and Modifiers
Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., Dahle, C., Gerstorf, D., & Acker, J. D. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi044 · Cited by 2,875
Self-citationMarcus, D. S., Wang, T. H., Parker, J., Csernansky, J. G., Morris, J. C., & Buckner, R. L. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.9.1498 · Cited by 2,163
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
Thinning of the Cerebral Cortex in Aging
Salat, D. H. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh032 · Cited by 1,851
The Impact of Age on Cognition
Murman, D. (2015) · Seminars in Hearing · doi:10.1055/s-0035-1555115 · Cited by 1,619
Structural and functional brain development and its relation to cognitive development
Casey, B. J., Giedd, J. N., & Thomas, K. M. (2000) · Biological Psychology · doi:10.1016/s0301-0511(00)00058-2 · Cited by 1,506
Memory and Executive Function in Aging and AD
Buckner, R. L. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.006 · Cited by 1,508
Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain
Resnick, S. M., Pham, D. L., Kraut, M. A., Zonderman, A. B., & Davatzikos, C. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-08-03295.2003 · Cited by 1,425
The cognitive neuroscience of ageing
Grady, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3256 · Cited by 1,286
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
Courchesne, E., Chisum, H. J., Townsend, J., Cowles, A., Covington, J., Egaas, B., Harwood, M., Hinds, S., & Press, G. A. (2000) · Radiology · doi:10.1148/radiology.216.3.r00au37672 · Cited by 1,049
Gur, R. C., Turetsky, B. I., Matsui, M., Yan, M., Bilker, W., Hughett, P., & Gur, R. E. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-10-04065.1999 · Cited by 909
Sowell, E. R., Peterson, B. S., Kan, E., Woods, R. P., Yoshii, J., Bansal, R., Xu, D., Zhu, H., Thompson, P. M., & Toga, A. W. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl066 · Cited by 695
Pruessner, J. C. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.4.433 · Cited by 706
DeCarli, C., Massaro, J., Harvey, D., Hald, J., Tullberg, M., Au, R., Beiser, A., D’Agostino, R., & Wolf, P. A. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.05.004 · Cited by 680
Diffusion tensor imaging and aging
Sullivan, E. V., & Pfefferbaum, A. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.002 · Cited by 649
Structural covariance in the human cortex
Mechelli, A., Friston, K. J., Frackowiak, R. S., & Price, C. J. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.0357-05.2005 · Cited by 606
The developmental trajectories of executive function from adolescence to old age.
Ferguson, H. J., Brunsdon, V. E. A., & Bradford, E. E. F. (2021) · Scientific Reports · doi:10.1038/s41598-020-80866-1 · Cited by 583
Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD
Fotenos, A. F., Snyder, A. Z., Girton, L. E., Morris, J. C., & Buckner, R. L. (2005) · Neurology · doi:10.1212/01.wnl.0000154530.72969.11 · Cited by 579
Functional brain connectivity using fMRI in aging and Alzheimer’s disease
Dennis, E. L., & Thompson, P. M. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9249-6 · Cited by 583
Mapping Changes in the Human Cortex throughout the Span of Life
Sowell, E. R., Thompson, P. M., & Toga, A. W. (2004) · The Neuroscientist · doi:10.1177/1073858404263960 · Cited by 572
Age-related changes in grey and white matter structure throughout adulthood
Giorgio, A., Santelli, L., Tomassini, V., Bosnell, R., Smith, S., De Stefano, N., & Johansen-Berg, H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.004 · Cited by 532
Aging of cerebral white matter: a review of MRI findings
Gunning‐Dixon, F. M., Brickman, A. M., Cheng, J. C., & Alexopoulos, G. S. (2009) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2087 · Cited by 564
One-year Age Changes in MRI Brain Volumes in Older Adults
Resnick, S. M. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.5.464 · Cited by 517
Rajah, M. N., & D'Esposito, M. (2005) · Brain · doi:10.1093/brain/awh608 · Cited by 513
Consistent neuroanatomical age-related volume differences across multiple samples
Walhovd, K. B., Westlye, L. T., Amlien, I., Espeseth, T., Reinvang, I., Raz, N., Agartz, I., Salat, D. H., Greve, D. N., Fischl, B., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.05.013 · Cited by 506
Self-citationStructure–function correlates of cognitive decline in aging
Persson, J., Nyberg, L., Lind, J., Larsson, A., Nilsson, L.-G., Ingvar, M., & Buckner, R. L. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj036 · Cited by 473
Neuroanatomical correlates of cognitive aging: Evidence from structural magnetic resonance imaging.
Raz, N., Gunning-Dixon, F. M., Head, D., Dupuis, J. H., & Acker, J. D. (1998) · Neuropsychology · doi:10.1037/0894-4105.12.1.95 · Cited by 454
Self-citationAssessing the effects of age on long white matter tracts using diffusion tensor tractography
Davis, S. W., Dennis, N. A., Buchler, N. G., White, L. E., Madden, D. J., & Cabeza, R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.068 · Cited by 458
MR-based in vivo hippocampal volumetrics: 2. Findings in neuropsychiatric disorders
Geuze, E., Vermetten, E., & Bremner, J. D. (2005) · Molecular Psychiatry · doi:10.1038/sj.mp.4001579 · Cited by 412
Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging
Kalpouzos, G., Chételat, G., Baron, J.-C., Landeau, B., Mevel, K., Godeau, C., Barré, L., Constans, J.-M., Viader, F., Eustache, F., et al. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.05.019 · Cited by 392
Anatomy of the Prefrontal Cortex
Fuster, J. M. (2008) · The Prefrontal Cortex · doi:10.1016/b978-0-12-373644-4.00002-5 · Cited by 364
Herold, F., Törpel, A., Schega, L., & Müller, N. G. (2019) · European Review of Aging and Physical Activity · doi:10.1186/s11556-019-0217-2 · Cited by 349
Sullivan, E. V., Rohlfing, T., & Pfefferbaum, A. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.04.007 · Cited by 346
Johnson, J. K., Lui, L.-Y., & Yaffe, K. (2007) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/62.10.1134 · Cited by 339
Neural correlates of cognitive efficiency
Rypma, B., Berger, J. S., Prabhakaran, V., Martin Bly, B., Kimberg, D. Y., Biswal, B. B., & D'Esposito, M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.065 · Cited by 334
The frontal aging hypothesis evaluated.
GREENWOOD, P. M. (2000) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617700666092 · Cited by 311
The ability to decide advantageously declines prematurely in some normal older persons
Denburg, N. L., Tranel, D., & Bechara, A. (2005) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.09.012 · Cited by 310
Functional plasticity in cognitive aging: Review and hypothesis.
Greenwood, P. M. (2007) · Neuropsychology · doi:10.1037/0894-4105.21.6.657 · Cited by 304
Age‐Related Changes in Prefrontal White Matter Measured by Diffusion Tensor Imaging
SALAT, D. H., TUCH, D. S., HEVELONE, N. D., FISCHL, B., CORKIN, S., ROSAS, H. D., & DALE, A. M. (2005) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1340.009 · Cited by 292
Preservation of limbic and paralimbic structures in aging
Grieve, S. M., Clark, C. R., Williams, L. M., Peduto, A. J., & Gordon, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20115 · Cited by 293
Age and gender predict volume decline in the anterior and posterior hippocampus in early adulthood
Pruessner, J. C., Collins, D. L., Pruessner, M., & Evans, A. C. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-01-00194.2001 · Cited by 292
Age- and sex-related effects on the neuroanatomy of healthy elderly
Lemaître, H., Crivello, F., Grassiot, B., Alpérovitch, A., Tzourio, C., & Mazoyer, B. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.042 · Cited by 280
Frodl, T., Jäger, M., Smajstrlova, I., Born, C., Bottlender, R., Palladino, T., Reiser, M., Möller, H.-J., & Meisenzahl, E. M. (2008) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0840 · Cited by 279
Tisserand, D. J. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh057 · Cited by 271
(2006) · PubMed · Cited by 269
Decreased anterior cingulate volume in combat-related PTSD
Woodward, S. H., Kaloupek, D. G., Streeter, C. C., Martinez, C., Schaer, M., & Eliez, S. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.07.033 · Cited by 259
Kochunov, P., Thompson, P. M., Lancaster, J. L., Bartzokis, G., Smith, S., Coyle, T., Royall, D. R., Laird, A., & Fox, P. T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.021 · Cited by 250
Zhao, T., Cao, M., Niu, H., Zuo, X., Evans, A., He, Y., Dong, Q., & Shu, N. (2015) · Human Brain Mapping · doi:10.1002/hbm.22877 · Cited by 209
Age-dependent changes in sleep EEG topography
Landolt, H.-P., & Borbély, A. A. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00542-3 · Cited by 200
Billiet, T., Vandenbulcke, M., Mädler, B., Peeters, R., Dhollander, T., Zhang, H., Deprez, S., Van den Bergh, B. R. H., Sunaert, S., & Emsell, L. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.02.029 · Cited by 203
Fleisher, A. S., Chen, K., Liu, X., Ayutyanont, N., Roontiva, A., Thiyyagura, P., Protas, H., Joshi, A. D., Sabbagh, M., Sadowsky, C. H., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.04.017 · Cited by 202
Hippocampal volume reduction and HPA-system activity in major depression
Colla, M., Kronenberg, G., Deuschle, M., Meichel, K., Hagen, T., Bohrer, M., & Heuser, I. (2007) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2006.06.011 · Cited by 200
Gray matter asymmetries in aging and neurodegeneration: a review and meta-analysis.
Minkova, L., Habich, A., Peter, J., Kaller, C. P., Eickhoff, S. B., & Klöppel, S. (2017) · Human Brain Mapping · doi:10.1002/hbm.23772 · Cited by 194
Cognitive and neural contributors to emotion regulation in aging
Winecoff, A., LaBar, K. S., Madden, D. J., Cabeza, R., & Huettel, S. A. (2011) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsq030 · Cited by 191
Levine, B. (2004) · Brain and Cognition · doi:10.1016/s0278-2626(03)00280-x · Cited by 189
Factors underlying prefrontal and insula structural alterations in smokers
Zhang, X., Salmeron, B. J., Ross, T. J., Geng, X., Yang, Y., & Stein, E. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.008 · Cited by 188
van Reekum, C. M., Urry, H. L., Johnstone, T., Thurow, M. E., Frye, C. J., Jackson, C. A., Schaefer, H. S., Alexander, A. L., & Davidson, R. J. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.2.237 · Cited by 188
MR-based in vivo hippocampal volumetrics: 1. Review of methodologies currently employed
Geuze, E., Vermetten, E., & Bremner, J. D. (2005) · Molecular Psychiatry · doi:10.1038/sj.mp.4001580 · Cited by 185
Schizophrenia: breakdown in the well-regulated lifelong process of brain development and maturation
Bartzokis, G. (2002) · Neuropsychopharmacology · doi:10.1016/s0893-133x(02)00364-0 · Cited by 179
Liu, R. S. N., Lemieux, L., Bell, G. S., Sisodiya, S. M., Shorvon, S. D., Sander, J. W. A. S., & Duncan, J. S. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00219-2 · Cited by 168
Regional white matter and neuropsychological functioning across the adult lifespan.
Brickman, A. M., Zimmerman, M. E., Paul, R. H., Grieve, S. M., Tate, D. F., Cohen, R. A., Williams, L. M., Clark, C. R., & Gordon, E. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.01.011 · Cited by 166
Slowing down: age-related neurobiological predictors of processing speed
Eckert, M. A. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00025 · Cited by 162
Kulijewicz‐Nawrot, M., Verkhratsky, A., Chvátal, A., Syková, E., & Rodríguez, J. J. (2012) · Journal of Anatomy · doi:10.1111/j.1469-7580.2012.01536.x · Cited by 160
Coryell, W., Nopoulos, P., Drevets, W., Wilson, T., & Andreasen, N. C. (2005) · American Journal of Psychiatry · doi:10.1176/appi.ajp.162.9.1706 · Cited by 159
Age-related differences in glucocorticoid receptor mRNA levels in the human brain
Perlman, W. R., Webster, M. J., Herman, M. M., Kleinman, J. E., & Weickert, C. S. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.01.010 · Cited by 152
Inflammatory processes in the aging mouse brain: Participation of dendritic cells and T-cells
Stichel, C. C., & Luebbert, H. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.07.022 · Cited by 151
LEVINE, B., STUSS, D. T., MILBERG, W. P., ALEXANDER, M. P., SCHWARTZ, M., & MACDONALD, R. (1998) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617798002471 · Cited by 145
Prefrontal Neuropsychological Predictors of Treatment Remission in Late-Life Depression
Potter, G. G., Kittinger, J. D., Ryan Wagner, H., Steffens, D. C., & Ranga Rama Krishnan, K. (2004) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300551 · Cited by 132
Older adults improve on everyday tasks after working memory training and neurostimulation
Stephens, J. A., & Berryhill, M. E. (2016) · Brain Stimulation · doi:10.1016/j.brs.2016.04.001 · Cited by 130
Head, D., Raz, N., Gunning-Dixon, F., Williamson, A., & Acker, J. D. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.1.72 · Cited by 105
Self-citationDeath and Cognition: Synthesis and Outlook
Bäckman, L., & MacDonald, S. W. S. (2006) · European Psychologist · doi:10.1027/1016-9040.11.3.224 · Cited by 100
Morphometric Assessment of the Heteromodal Association Cortex in Schizophrenia
Buchanan, R. W., Francis, A., Arango, C., Miller, K., Lefkowitz, D. M., McMahon, R. P., Barta, P. E., & Pearlson, G. D. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.2.322 · Cited by 97
Brain maturation may be arrested in chronic cocaine addicts
Bartzokis, G., Beckson, M., Lu, P. H., Edwards, N., Bridge, P., & Mintz, J. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01315-x · Cited by 85
Exploring age‐related brain degeneration in meditation practitioners
Luders, E. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12217 · Cited by 79
Cardiorespiratory fitness is associated with white matter integrity in aging
Hayes, S. M., Salat, D. H., Forman, D. E., Sperling, R. A., & Verfaellie, M. (2015) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.204 · Cited by 75
Suridjan, I., Rusjan, P. M., Voineskos, A. N., Selvanathan, T., Setiawan, E., Strafella, A. P., Wilson, A. A., Meyer, J. H., Houle, S., & Mizrahi, R. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.021 · Cited by 71
Distinctive alterations of the cingulum bundle during aging and Alzheimer’s disease
Catheline, G., Periot, O., Amirault, M., Braun, M., Dartigues, J.-F., Auriacombe, S., & Allard, M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.08.012 · Cited by 70
Grieve, S. M., Korgaonkar, M. S., Clark, C. R., & Williams, L. M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.087 · Cited by 64
Righart, R., Duering, M., Gonik, M., Jouvent, E., Reyes, S., Hervé, D., Chabriat, H., & Dichgans, M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.06.006 · Cited by 62
The relationship between episodic long-term memory and white matter integrity in normal aging
Charlton, R. A., Barrick, T. R., Markus, H. S., & Morris, R. G. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.08.018 · Cited by 55
(2023) · doi:10.1016/j.celrep.2023.112593 · Cited by 53
Alger, S. E., Kensinger, E. A., & Payne, J. D. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.03.030 · Cited by 50
Stephens, J. A., Jones, K. T., & Berryhill, M. E. (2017) · Scientific Reports · doi:10.1038/s41598-017-14030-7 · Cited by 43
Sex differences in amygdala subregions: evidence from subregional shape analysis
Kim, H. J., Kim, N., Kim, S., Hong, S., Park, K., Lim, S., Park, J.-M., Na, B., Chae, Y., Lee, J., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.025 · Cited by 40
Ilieva, I. P., Alexopoulos, G. S., Dubin, M. J., Morimoto, S. S., Victoria, L. W., & Gunning, F. M. (2018) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2017.09.002 · Cited by 38
Self-citationOverlap in frontotemporal atrophy between normal aging and patients with frontotemporal dementias
Chow, T. W., Binns, M. A., Freedman, M., Stuss, D. T., Ramirez, J., Scott, C. J. M., & Black, S. (2008) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e31818026c4 · Cited by 37
Morimoto, S. S., Gunning, F. M., Wexler, B. E., Hu, W., Ilieva, I., Liu, J., Nitis, J., & Alexopoulos, G. S. (2016) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2016.06.010 · Cited by 35
Staging Neurodegenerative Disorders: Structural, Regional, Biomarker, and Functional Progressions
Archer, T., Kostrzewa, R. M., Beninger, R. J., & Palomo, T. (2011) · Neurotoxicity Research · doi:10.1007/s12640-010-9190-2 · Cited by 34
Lynn, J. D., Anand, C., Arshad, M., Homayouni, R., Rosenberg, D. R., Ofen, N., Raz, N., & Stanley, J. A. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhaa272 · Cited by 33
Self-citationSex-Based Differences in Cortical and Subcortical Development in 436 Individuals Aged 4–54 Years
Duerden, E. G., Chakravarty, M. M., Lerch, J. P., & Taylor, M. J. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz279 · Cited by 28
The development of cognitive flexibility and its implications for mental health disorders
Tong, K., Fu, X., Hoo, N. P., Kean Mun, L., Vassiliu, C., Langley, C., Sahakian, B. J., & Leong, V. (2024) · Psychological Medicine · doi:10.1017/s0033291724001508 · Cited by 23
Age-Related Changes in Frontal and Temporal Lobe Volumes in Men: A Magnetic Resonance Imaging Study
Bartzokis, G., Beckson, M., Lu, P. H., Nuechterlein, K. H., Edwards, N., & Mintz, J. (2001) · Archives of General Psychiatry · doi:10.1001/archpsyc.58.5.461 · Cited by 14
Linnet, E., & Roser, M. E. (2012) · Psychology and Aging · doi:10.1037/a0024905 · Cited by 14
Episodic Memory in Healthy Older Adults: The Role of Prefrontal and Parietal Cortices
Rajah, M. N., Maillet, D., & Grady, C. L. (2015) · The Wiley Handbook on the Cognitive Neuroscience of Memory · doi:10.1002/9781118332634.ch17 · Cited by 9
Vascular cognitive impairment: prodrome to VaD?
Mayda, A., & DeCarli, C. (2009) · Vascular Cognitive Impairment in Clinical Practice · doi:10.1017/cbo9780511575976.003 · Cited by 7
Konsolaki, E., & Skaliora, I. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu019 · Cited by 9
Brain Development: An Overview
Zelazo, P. D., & Lee, W. S. C. (2010) · The Handbook of Life‐Span Development · doi:10.1002/9780470880166.hlsd001004 · Cited by 7
(1997) · doi:10.1002/(sici)1096-9861(19971006)386:4<661::aid-cne11>3.0.co;2-n
Metadata
- Authors
- Raz, N.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-04-01
- Volume
- 7
- Issue
- 3
- Pages
- 268-282
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2147597108
- Cited by
- 1,240
- References
- 8
- FWCI
- 20.94
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
