A common brain network links development, aging, and vulnerability to disease
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Significance: Many evolutionary–developmental models have attempted to relate development and aging, with one popular hypothesis proposing that healthy age-related brain decline mirrors developmental maturation. But this elegant hypothesis has so far lacked clear and direct data to support it. Here, we describe intrinsic, entirely data-driven evidence that healthy brain degeneration and developmental process mirror one another in certain brain regions. Specifically, a data-driven decomposition of structural brain images in 484 healthy participants reveals a network of mainly higher-order regions that develop relatively late during adolescence, demonstrate accelerated degeneration in old age, and show heightened vulnerability to disorders that impact on brain structure during adolescence and aging. These results provide a fundamental link between development, aging, and disease processes in the brain.
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The 53 genes are overexpressed in 'adolescence' and 'young adult' brain tissues in BrainSpan, consistent with accumulating evidence suggesting Alzheimer's disease may start decades before the onset of disease.
“the 53 genes are overexpressed in ‘adolescence’ and ‘young adult’ brain tissues in BrainSpan103, a transcriptomic atlas of the developing human brain, which is consistent with accumulating evidence suggesting Alzheimer’s disease may start decades before the onset of disease104,105”
From Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing (2019) · cites this paper as [105]
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Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630 · see citing works
Self-citationFischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610 · see citing works
Pleiotropy, natural selection, and the evolution of senescence.
Williams, G. C. (1957) · Evolution · doi:10.1111/j.1558-5646.1957.tb02911.x · Cited by 4,279 · see citing works
Why do many psychiatric disorders emerge during adolescence?
Paus, T., Keshavan, M., & Giedd, J. N. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2513 · Cited by 3,123 · see citing works
Mesulam, M. (1998) · Brain · doi:10.1093/brain/121.6.1013 · Cited by 3,072 · see citing works
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 · see citing works
Buckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5062-08.2009 · Cited by 2,862 · see citing works
Neurodegenerative Diseases Target Large-Scale Human Brain Networks
Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350 · see citing works
Rejuvenation of aged progenitor cells by exposure to a young systemic environment
Conboy, I. M., Conboy, M. J., Wagers, A. J., Girma, E. R., Weissman, I. L., & Rando, T. A. (2005) · Nature · doi:10.1038/nature03260 · Cited by 2,287 · see citing works
Insights into the ageing mind: a view from cognitive neuroscience
Hedden, T., & Gabrieli, J. D. E. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1323 · Cited by 2,223 · see citing works
Buckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140 · see citing works
Understanding the odd science of aging
Kirkwood, T. B. L. (2005) · Cell · doi:10.1016/j.cell.2005.01.027 · Cited by 1,984 · see citing works
Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation
Shaw, P., Eckstrand, K., Sharp, W., Blumenthal, J., Lerch, J. P., Greenstein, D., Clasen, L., Evans, A., Giedd, J., & Rapoport, J. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707741104 · Cited by 1,819 · see citing works
AN UNSOLVED PROBLEM OF BIOLOGY
(1953) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1953.tb84985.x · Cited by 1,805 · see citing works
Plasticity in gray and white: neuroimaging changes in brain structure during learning
Zatorre, R. J., Fields, R. D., & Johansen-Berg, H. (2012) · Nature Neuroscience · doi:10.1038/nn.3045 · Cited by 1,685 · see citing works
Self-citationAlzheimer’s Disease Neuroimaging Initiative
Mueller, S. G., Weiner, M. W., Thal, L. J., Petersen, R. C., Jack, C. R., Jagust, W. J., Trojanowski, J. Q., Toga, A. W., & Beckett, L. A. (2007) · Springer eBooks · doi:10.1007/978-0-387-72076-0_18 · Cited by 1,493 · see citing works
Extraordinary neoteny of synaptic spines in the human prefrontal cortex
Petanjek, Z., Judaš, M., Šimić, G., Rašin, M. R., Uylings, H. B. M., Rakic, P., & Kostović, I. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105108108 · Cited by 1,411 · see citing works
(1991) · Choice Reviews Online · doi:10.5860/choice.28-5664 · Cited by 1,306 · see citing works
Differential aging of the brain: Patterns, cognitive correlates and modifiers
Raz, N., & Rodrigue, K. M. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.07.001 · Cited by 1,195 · see citing works
Anterior prefrontal cortex: insights into function from anatomy and neuroimaging
Ramnani, N., & Owen, A. M. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1343 · Cited by 1,170 · see citing works
Diffusion tensor imaging of white matter tract evolution over the lifespan
Lebel, C., Gee, M., Camicioli, R., Wieler, M., Martin, W., & Beaulieu, C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.094 · Cited by 1,100 · see citing works
(2000) · Cited by 1,006 · see citing works
Peters, R. (2006) · Postgraduate Medical Journal · doi:10.1136/pgmj.2005.036665 · Cited by 894 · see citing works
Similar patterns of cortical expansion during human development and evolution
Hill, J., Inder, T., Neil, J., Dierker, D., Harwell, J., & Van Essen, D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001229107 · Cited by 811 · see citing works
Life-Span Changes of the Human Brain White Matter: Diffusion Tensor Imaging (DTI) and Volumetry
Westlye, L. T., Walhovd, K. B., Dale, A. M., Bjornerud, A., Due-Tonnessen, P., Engvig, A., Grydeland, H., Tamnes, C. K., Ostby, Y., & Fjell, A. M. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp280 · Cited by 765 · see citing works
Self-citationAnatomically related grey and white matter abnormalities in adolescent-onset schizophrenia
Douaud, G., Smith, S. M., Jenkinson, M., Behrens, T. E. J., Johansen‐Berg, H., Vickers, J., James, S., Voets, N., Watkins, K. E., Matthews, P. M., et al. (2007) · Brain · doi:10.1093/brain/awm184 · Cited by 763 · see citing works
Self-citationSpeakman, J. R., Talbot, D. A., Selman, C., Snart, S., McLaren, J. S., Redman, P., Krol, E., Jackson, D. M., Johnson, M. S., & Brand, M. D. (2004) · Aging Cell · doi:10.1111/j.1474-9728.2004.00097.x · Cited by 761 · see citing works
Anterior Prefrontal Function and the Limits of Human Decision-Making
Koechlin, É., & Hyafil, A. (2007) · Science · doi:10.1126/science.1142995 · Cited by 750 · see citing works
Auditory hair cell replacement and hearing improvement by Atoh1 gene therapy in deaf mammals
Izumikawa, M., Minoda, R., Kawamoto, K., Abrashkin, K. A., Swiderski, D. L., Dolan, D. F., Brough, D. E., & Raphael, Y. (2005) · Nature Medicine · doi:10.1038/nm1193 · Cited by 742 · see citing works
O'Reilly, J. X., Beckmann, C. F., Tomassini, V., Ramnani, N., & Johansen-Berg, H. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp157 · Cited by 738 · see citing works
Self-citationA network diffusion model of disease progression in dementia
Raj, A., Kuceyeski, A., & Weiner, M. (2012) · Neuron · doi:10.1016/j.neuron.2011.12.040 · Cited by 723 · see citing works
Life History Invariants: Some Explorations of Symmetry in Evolutionary Ecology
Charnov, E. L. (1993) · Medical Entomology and Zoology · Cited by 721 · see citing works
Prolonged myelination in human neocortical evolution
Miller, D. J., Duka, T., Stimpson, C. D., Schapiro, S. J., Baze, W. B., McArthur, M. J., Fobbs, A. J., Sousa, A. M. M., Šestan, N., Wildman, D. E., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117943109 · Cited by 699 · see citing works
Fetal programming of coronary heart disease
Barker, D. J. P. (2002) · Trends in Endocrinology and Metabolism · doi:10.1016/s1043-2760(02)00689-6 · Cited by 678 · see citing works
Alzheimer's disease as homeostatic responses to age-related myelin breakdown
Bartzokis, G. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.08.007 · Cited by 546 · see citing works
Lemaître, H., Goldman, A. L., Sambataro, F., Verchinski, B. A., Meyer‐Lindenberg, A., Weinberger, D. R., & Mattay, V. S. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.07.013 · Cited by 545 · see citing works
Aging renders the brain vulnerable to amyloid β-protein neurotoxicity
Guela, C., Wu, C.-K., Saroff, D., Lorenzo, A., Yuan, M., & Yankner, B. A. (1998) · Nature Medicine · doi:10.1038/nm0798-827 · Cited by 520 · see citing works
Learning in the fast lane: new insights into neuroplasticity
Sagi, Y., Tavor, I., Hofstetter, S., Tzur-Moryosef, S., Blumenfeld-Katzir, T., & Assaf, Y. (2012) · Neuron · doi:10.1016/j.neuron.2012.01.025 · Cited by 517 · see citing works
AN ATTEMPT AT A RATIONAL CLASSIFICATION OF THEORIES OF AGEING
Медведев, Ж. А. (1990) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/j.1469-185x.1990.tb01428.x · Cited by 515 · see citing works
Hayflick, L. (1998) · Experimental Gerontology · doi:10.1016/s0531-5565(98)00023-0 · Cited by 469 · see citing works
Conditional control of gene expression in the mouse
Lewandoski, M. (2001) · Nature reviews genetics · doi:10.1038/35093537 · Cited by 442 · see citing works
Motor skill learning induces changes in white matter microstructure and myelination
Sampaio-Baptista, C., Khrapitchev, A. A., Foxley, S., Schlagheck, T., Scholz, J., Jbabdi, S., DeLuca, G. C., Miller, K. L., Taylor, A., Thomas, N., et al. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3048-13.2013 · Cited by 417 · see citing works
Self-citationGrowth Patterns and the Risk of Breast Cancer in Women
Ahlgren, M., Melbye, M., Wohlfahrt, J., & Sørensen, T. I. A. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040576 · Cited by 393 · see citing works
Critical ages in the life course of the adult brain: nonlinear subcortical aging
Fjell, A. M., Westlye, L. T., Grydeland, H., Amlien, I. K., Espeseth, T., Reinvang, I., Raz, N., Holland, D., Dale, A. M., & Walhovd, K. B. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.04.006 · Cited by 393 · see citing works
Self-citationNon-ageing developmental variant of Caenorhabditis elegans
Klass, M. R., & Hirsh, D. (1976) · Nature · doi:10.1038/260523a0 · Cited by 380 · see citing works
MRI patterns of atrophy associated with progression to AD in amnestic mild cognitive impairment
Whitwell, J. L., Shiung, M. M., Przybelski, S. A., Weigand, S. D., Knopman, D. S., Boeve, B. F., Petersen, R. C., & Jack, C. R. (2008) · Neurology · doi:10.1212/01.wnl.0000280575.77437.a2 · Cited by 357 · see citing works
Eickhoff, S. B., Jbabdi, S., Caspers, S., Laird, A. R., Fox, P. T., Zilles, K., & Behrens, T. E. J. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.5664-09.2010 · Cited by 352 · see citing works
Efstratiadis, A. (1998) · The International Journal of Developmental Biology · doi:10.1387/ijdb.9853827 · Cited by 349 · see citing works
Stem cells and aging: expanding the possibilities
Rao, M. S. R. (2001) · Mechanisms of Ageing and Development · doi:10.1016/s0047-6374(01)00224-x · Cited by 346 · see citing works
Genetics and the making of Homo sapiens
Carroll, S. B. (2003) · Nature · doi:10.1038/nature01495 · Cited by 340 · see citing works
Linked independent component analysis for multimodal data fusion
Groves, A. R., Beckmann, C. F., Smith, S. M., & Woolrich, M. W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.073 · Cited by 319 · see citing works
Self-citationAccelerating Cortical Thinning: Unique to Dementia or Universal in Aging?
Fjell, A. M., Westlye, L. T., Grydeland, H., Amlien, I. K., Espeseth, T., Reinvang, I., Raz, N., Dale, A. M., Walhovd, K. B., & Initiative, A. D. N. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs379 · Cited by 306 · see citing works
Self-citationGenetic syndromes in man with potential relevance to the pathobiology of aging.
Martin, G. M. (1978) · PubMed · Cited by 297 · see citing works
Generation of hair cells by stepwise differentiation of embryonic stem cells
Li, H., Roblin, G., Liu, H., & Heller, S. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2334503100 · Cited by 296 · see citing works
Grydeland, H., Walhovd, K. B., Tamnes, C. K., Westlye, L. T., & Fjell, A. M. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2811-13.2013 · Cited by 290 · see citing works
Self-citationBrain development and aging: Overlapping and unique patterns of change
Tamnes, C. K., Walhovd, K. B., Dale, A. M., Østby, Y., Grydeland, H., Richardson, G., Westlye, L. T., Roddey, J. C., Hagler, D. J., Due-Tønnessen, P., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.039 · Cited by 287 · see citing works
Self-citationSmall, S. A., Chawla, M. K., Buonocore, M. H., Rapp, P. R., & Barnes, C. A. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400285101 · Cited by 281 · see citing works
Growth negatively impacts the life span of mammals
Rollo, C. D. (2002) · Evolution & Development · doi:10.1046/j.1525-142x.2002.01053.x · Cited by 281 · see citing works
Lifespan trajectory of myelin integrity and maximum motor speed
Bartzokis, G., Lu, P. H., Tingus, K., Mendez, M. F., Richard, A. G., Peters, D. G., Oluwadara, B., Barrall, K. A., Finn, J. P., Villablanca, P. J., et al. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.08.015 · Cited by 274 · see citing works
Ageing : the biology of senescence
Comfort, A. (1964) · Medical Entomology and Zoology · Cited by 248 · see citing works
Schizophrenia: A disease of heteromodal association cortex?
Pearlson, G. D., Petty, R. G., ROSS, C., & Tien, A. Y. (1996) · Neuropsychopharmacology · doi:10.1016/s0893-133x(96)80054-6 · Cited by 235 · see citing works
Reisberg, ., Franssen, E., Souren, L. E. M., Auer, S., Akram, I., & Kenowsky, S. (2002) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/153331750201700411 · Cited by 202 · see citing works
Of mice and models: improved animal models for biomedical research.
Bockamp, E., Maringer, M., Spangenberg, C., Fees, S. A., Fraser, S. A., Eshkind, L., Oesch, F., & Zabel, B. (2002) · Physiological Genomics · doi:10.1152/physiolgenomics.00067.2002 · Cited by 196 · see citing works
What Can Progeroid Syndromes Tell Us About Human Aging?
Kipling, D., Davis, T., Ostler, E. L., & Faragher, R. (2004) · Science · doi:10.1126/science.1102587 · Cited by 182 · see citing works
Sun, L.-Q., Lee, D. W., Zhang, Q., Xiao, W., Raabe, E. H., Meeker, A. K., Miao, D., Huso, D. L., & Arceci, R. J. (2004) · Genes & Development · doi:10.1101/gad.1176104 · Cited by 182 · see citing works
Insulin-like growth factor 1 (IGF-1) and aging: Controversies and new insights
Bartke, A., Dominici, F. P., Turyn, D., Kinney, B. A., Steger, R. W., & Kopchick, J. J. (2003) · Biogerontology · doi:10.1023/a:1022448532248 · Cited by 175 · see citing works
Gene expression profiling of aging using DNA microarrays
Weindruch, R. H., Kayo, T., Lee, C., & Prolla, T. A. (2002) · Mechanisms of Ageing and Development · doi:10.1016/s0047-6374(01)00344-x · Cited by 171 · see citing works
Age-Related Changes in the Thickness of Cortical Zones in Humans
McGinnis, S. M., Brickhouse, M. J., Pascual, B., & Dickerson, B. C. (2011) · Brain Topography · doi:10.1007/s10548-011-0198-6 · Cited by 171 · see citing works
Westlye, L. T., Walhovd, K. B., Dale, A. M., Bjørnerud, A., Due‐Tønnessen, P., Engvig, A., Grydeland, H., Tamnes, C. K., Østby, Y., & Fjell, A. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.056 · Cited by 169 · see citing works
Self-citationMammalian Metabolism and Life Histories
Harvey, P., Pagel, M. D., & Rees, J. A. (1991) · The American Naturalist · doi:10.1086/285183 · Cited by 166 · see citing works
Kochunov, P., Glahn, D. C., Lancaster, J. L., Thompson, P. M., Kochunov, V., Rogers, B. G., Fox, P. T., Blangero, J., & Williamson, D. E. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.050 · Cited by 160 · see citing works
GenAge: a genomic and proteomic network map of human ageing
de Magalhães, J. P., & Toussaint, O. (2004) · FEBS Letters · doi:10.1016/j.febslet.2004.07.006 · Cited by 154 · see citing works
Quantification of anisotropy and fiber orientation in human brain histological sections
Budde, M. D., & Annese, J. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00003 · Cited by 153 · see citing works
Bartzokis, G., Lu, P. H., Heydari, P., Couvrette, A., Lee, G. J., Kalashyan, G., Freeman, F., Grinstead, J. W., Villablanca, P., Finn, J. P., et al. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.07.010 · Cited by 152 · see citing works
Genomes Optimize Reproduction: Aging as a Consequence of the Developmental Program
de Magalhães, J. P., & Church, G. M. (2005) · Physiology · doi:10.1152/physiol.00010.2005 · Cited by 152 · see citing works
Schizophrenia delays and alters maturation of the brain in adolescence
Douaud, G., Mackay, C. E., Andersson, J., James, S., Quested, D. J., Ray, M. K., Connell, J., Roberts, N., Crow, T. J., Matthews, P. M., et al. (2009) · Brain · doi:10.1093/brain/awp126 · Cited by 149 · see citing works
Self-citationImokawa, Y., & Yoshizato, K. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.17.9159 · Cited by 135 · see citing works
Karama, S., Bastin, M. E., Murray, C. L., Royle, N. A., Penke, L., Maniega, S. M., Gow, A. J., Corley, J., Hernández, M. V., Lewis, J. D., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2013.64 · Cited by 125 · see citing works
The role of gender differences in the reduction of etiologic heterogeneity in schizophrenia
Salem, J. E., & Kring, A. M. (1998) · Clinical Psychology Review · doi:10.1016/s0272-7358(98)00008-7 · Cited by 125 · see citing works
Kleemeier Award Lecture: Are There Genes for Aging?
Miller, R. A. (1999) · The Journals of Gerontology Series A · doi:10.1093/gerona/54.7.b297 · Cited by 124 · see citing works
DNA microarray analysis of the aging brain
Prolla, T. A. (2002) · Chemical Senses · doi:10.1093/chemse/27.3.299 · Cited by 110 · see citing works
Nijhout, H. F. (2003) · Development · doi:10.1242/dev.00902 · Cited by 103 · see citing works
Regulation of Hematopoietic Stem Cell Self-Renewal
Reya, T. (2003) · Recent Progress in Hormone Research · doi:10.1210/rp.58.1.283 · Cited by 100 · see citing works
Denoël, M., & Joly, P. B. (2000) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2000.1168 · Cited by 92 · see citing works
Insulin-Like Growth Factors and Aging
Hammerman, M. R. (1987) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/s0889-8529(18)30455-9 · Cited by 85 · see citing works
de Magalhães, J. P., & Sandberg, A. (2005) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2005.04.004 · Cited by 84 · see citing works
Factors affecting the age of onset and rate of progression of Alzheimer's disease
Bowler, J. V., Muñoz, D. G., Merskey, H., & Hachinski, V. (1998) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.65.2.184 · Cited by 76 · see citing works
Evolution of human longevity: A critical overview
Cutler, R. G. (1979) · Mechanisms of Ageing and Development · doi:10.1016/0047-6374(79)90110-6 · Cited by 72 · see citing works
Muscle regeneration in amphibians and mammals: Passing the torch
Carlson, B. M. (2003) · Developmental Dynamics · doi:10.1002/dvdy.10223 · Cited by 71 · see citing works
Kanungo, M. S. (1994) · Cited by 61 · see citing works
Open-minded scepticism: inferring the causal mechanisms of human ageing from genetic perturbations
de Magalhães, J. P. (2005) · Ageing Research Reviews · doi:10.1016/j.arr.2004.05.003 · Cited by 54 · see citing works
Aging: The Reality: The Multiple and Irreversible Causes of Aging
Holliday, R. (2004) · The Journals of Gerontology Series A · doi:10.1093/gerona/59.6.b568 · Cited by 51 · see citing works
Brakefield, P. M., Gems, D., Cowen, T., Christensen, K., Grubeck‐Loebenstein, B., Keller, L., Oeppen, J., Rodríguez‐Peña, A., Stazi, M. A., Tatar, M., et al. (2004) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2004.07.013 · Cited by 45 · see citing works
Zwaan, B. J. (2003) · Science of Aging Knowledge Environment · doi:10.1126/sageke.2003.47.pe32 · Cited by 43 · see citing works
Chance, S. A., Tzotzoli, P. M., Vitelli, A., et al. (2004) · Neuroscience Letters · doi:10.1016/j.neulet.2004.06.041 · Cited by 42 · see citing works
The evolution of mammalian aging
de Magalhães, J. P., & Toussaint, O. (2002) · Experimental Gerontology · doi:10.1016/s0531-5565(02)00008-6 · Cited by 37 · see citing works
Gentleman, S. M., Allsop, D., Bruton, C. J., et al. (1992) · Neuroscience Letters · doi:10.1016/0304-3940(92)90639-o · Cited by 24 · see citing works
Clinton, J., Roberts, G. W., Gentleman, S., et al. (1993) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.1993.tb00438.x · Cited by 22 · see citing works
Raz, N. (2005) · Encyclopedia of Life Sciences · doi:10.1038/npg.els.0004063 · Cited by 11 · see citing works
RUSSANOVA, V. R., Hirai, T. H., Tchernov, A. V., & Howard, B. H. (2004) · The Journals of Gerontology Series A · doi:10.1093/gerona/59.12.1234 · Cited by 10 · see citing works
Not Wisely but Too Well: Aging as a Cost of Neuroendocrine Activity
Mobbs, C. V. (2004) · Science of Aging Knowledge Environment · doi:10.1126/sageke.2004.35.pe33 · Cited by 4 · see citing works
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Research works printed but not linked: 1
- [5]Ribot T. Les Maladies de la Mcamoire. Germer-Baillicre; Paris: 1881. [Google Scholar]
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Alzheimer Disease Genetics Consortium (ADGC), Kunkle, B. W., The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, P. A. E. R. F. A. D. C. (., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0358-2 · Cited by 2,946 · see citing works
Mattei, D., Ivanov, A., Ferrai, C., Jordan, P., Guneykaya, D., Buonfiglioli, A., Schaafsma, W., Przanowski, P., Deuther-Conrad, W., Brust, P., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.80 · Cited by 222 · see citing works
Accelerated Gray and White Matter Deterioration With Age in Schizophrenia
Cropley, V. L., Klauser, P., Lenroot, R. K., Bruggemann, J., Sundram, S., Bousman, C., Pereira, A., Di Biase, M. A., Weickert, T. W., Weickert, C. S., et al. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.16050610 · Cited by 217 · see citing works
Association of DNA methylation differences with schizophrenia in an Epigenome-Wide association study
Montano, C., Taub, M. A., Jaffe, A., Briem, E., Feinberg, J. I., Trygvadottir, R., Idrizi, A., Runarsson, A., Berndsen, B., Gur, R. C., et al. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.0144 · Cited by 180 · see citing works
Cellular correlates of cortical thinning throughout the lifespan
Vidal-Pineiro, D., Parker, N., Shin, J., French, L., Grydeland, H., Jackowski, A. P., Mowinckel, A. M., Patel, Y., Pausova, Z., Salum, G., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-78471-3 · Cited by 154 · see citing works
Self-citationIn Vivo Reprogramming Ameliorates Aging Features in Dentate Gyrus Cells and Improves Memory in Mice.
Rodríguez-Matellán, A., Alcazar, N., Hernández, F., Serrano, M., & Ávila, J. (2020) · Stem Cell Reports · doi:10.1016/j.stemcr.2020.09.010 · Cited by 116 · see citing works
DNA damage in the oligodendrocyte lineage and its role in brain aging
Tse, K.-H., & Herrup, K. (2017) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2016.05.006 · Cited by 108 · see citing works
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 · see citing works
Strong genetic overlap between executive functions and intelligence.
Engelhardt, L. E., Mann, F. D., Briley, D. A., Church, J. A., Harden, K. P., & Tucker-Drob, E. M. (2016) · Journal of Experimental Psychology: General · doi:10.1037/xge0000195 · Cited by 91 · see citing works
Cox, S. R., Harris, M. A., Ritchie, S. J., Buchanan, C. R., Valdés Hernández, M. C., Corley, J., Taylor, A. M., Madole, J. W., Harris, S. E., Whalley, H. C., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00975-1 · Cited by 60 · see citing works
Attademo, L., & Bernardini, F. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200289 · Cited by 35 · see citing works
- Authors
- Douaud, G., Groves, A. R., Tamnes, C. K., Westlye, L. T., Duff, E. P., Engvig, A., Walhovd, K. B., James, A., Gass, A., Monsch, A. U., Matthews, P. M., Fjell, A. M., Smith, S. M., & Johansen-Berg, H.
- Affiliations
- John Radcliffe Hospital (GB)
- Research Group for Life-Span Changes in Brain and Cognition, Department of Psychology and
- Oslo University Hospital (NO)
- University of Oxford (GB)
- Heidelberg University (DE)
- Felix Platter-Hospital (CH)
- Imperial College London (GB)
- Functional Magnetic Resonance Imaging of the Brain (FMRIB) Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom;
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-11-24
- Volume
- 111
- Issue
- 49
- Pages
- 17648-17653
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4267352
- OpenAlex
- W2157296433
- Cited by
- 317
- References
- 102
- Citations by year
- 2026: 12 · 2025: 22 · 2024: 39 · 2023: 28 · 2022: 31 · 2021: 31 · 2020: 23 · 2019: 34 · 2018: 27 · 2017: 28 · 2016: 24 · 2015: 17 · 2014: 1
- FWCI
- 13.01
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- edoc (University of Basel) (submittedVersion)
- Funders
- Medical Research Council (MRC) (MR/K006673/1, G0500092)
- Wellcome Trust (WT090955AIA)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- brain development, brain aging, schizophrenia, Alzheimer's disease, intellectual ability, episodic memory
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Aging, Alzheimer Disease, Brain, Brain Mapping, Child, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Monte Carlo Method, Phylogeny, Schizophrenia, Software, Genetic Predisposition to Disease, Young Adult, Gray Matter
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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