Variation in longitudinal trajectories of regional brain volumes of healthy men and women (ages 10 to 85years) measured with atlas-based parcellation of MRI
Open accessAbstract
Numerous cross-sectional MRI studies have characterized age-related differences in regional brain volumes that differ with structure and tissue type. The extent to which cross-sectional assumptions about change are accurate depictions of actual longitudinal measurement remains controversial. Even longitudinal studies can be limited by the age range of participants, sex distribution of the samples, and scan intervals. To address these issues, we calculated trajectories of regional brain volume changes from T1-weighted (SPGR) MRI data, quantified with our automated, unsupervised SRI24 atlas-based registration and parcellation method. Longitudinal MRIs were acquired at 3T in 17 boys and 12 girls, age 10 to 14 years, and 41 men and 41 women, age 20 to 85 years at first scan. Application of a regression-based correction function permitted merging of data acquired at 3T field strength with data acquired at 1.5T from additional subjects, thereby expanding the sample to a total of 55 men and 67 women, age 20 to 85 years at first scan. Adjustment for individual supratentorial volume removed regional volume differences between men and women due to sex-related differences in head size. Individual trajectories were computed from data collected on 2 to 6 MRIs at a single field strength over a ~1 to 8 year interval. Using linear mixed-effects models, the pattern of trajectories over age indicated: rises in ventricular and Sylvian fissure volumes, with older individuals showing faster increases than younger ones; declines in selective cortical volumes with faster tissue shrinkage in older than younger individuals; little effect of aging on volume of the corpus callosum; more rapid expansion of CSF-filled spaces in men than women after age 60 years; and evidence for continued growth in central white matter through early adulthood with accelerated decline in senescence greater in men than women.
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
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Longitudinal studies reported significant tissue atrophy in the temporal and occipital regions in non-pathological aging.
“Overcoming the drawbacks of cross-sectional studies that have largely dominated clinical studies on aging, newer research based on the longitudinal studies has reported significant tissue atrophy in the temporal and occipital regions in non-pathological aging (Pfefferbaum et al, 2013;Storsve et al, 2014).”
From Microglia Priming with Aging and Stress (2017) · cites this paper as Pfefferbaum et al, 2013
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148 · see citing works
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,010 · see citing works
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · see citing works
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,803 · see citing works
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,003 · see citing works
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496 · see citing works
KAUFMAN, J., BIRMAHER, B., BRENT, D., RAO, U., FLYNN, C., MORECI, P., WILLIAMSON, D., & RYAN, N. (1997) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199707000-00021 · Cited by 10,148 · see citing works
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923 · see citing works
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628 · see citing works
Four Factor Index of Social Status
Paschou, R. (1975) · Cited by 6,989 · see citing works
Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604 · cited 1× · see citing works
“Brains of boys can be 10% larger than those of girls (Dekaban and Sadowsky, 1978; Goldstein et al., 2001), but growth starts and ends earlier in girls than boys, peaking at 10.5 years in girls compared with 14.5 years in boys and declining thereafter in both (Lenroot et al., 2007).”
BackgroundInfluentialBrain development during childhood and adolescence: a longitudinal MRI study
Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999) · Nature Neuroscience · doi:10.1038/13158 · Cited by 5,552 · see citing works
Four Factor Index of Social Status [1975]
Hollingshead, A. B. (1975) · Cited by 5,151 · see citing works
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 · see citing works
Peabody Picture Vocabulary Test
Campbell, J. M., & Dommestrup, A. K. (2010) · The Corsini Encyclopedia of Psychology · doi:10.1002/9780470479216.corpsy0649 · Cited by 3,787 · 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
Regional Development of the Brain in Early Life
(1968) · Archives of Disease in Childhood · doi:10.1136/adc.43.229.388 · Cited by 2,107 · see citing works
The basics of brain development
Stiles, J., & Jernigan, T. L. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9148-4 · Cited by 2,009 · see citing works
(1967) · Medical Entomology and Zoology · Cited by 1,713 · see citing works
Neurodevelopmental Trajectories of the Human Cerebral Cortex
Shaw, P., Kabani, N. J., Lerch, J. P., Eckstrand, K., Lenroot, R., Gogtay, N., Greenstein, D., Clasen, L., Evans, A., Rapoport, J. L., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5309-07.2008 · Cited by 1,644 · see citing works
Handbook of the Psychology of Aging
(1986) · Journal of Gerontology · doi:10.1093/geronj/41.2.296 · Cited by 1,557 · see citing works
Positron emission tomography study of human brain functional development
Chugani, H. T., Phelps, M. E., & Mazziotta, J. C. (1987) · Annals of Neurology · doi:10.1002/ana.410220408 · Cited by 1,548 · see citing works
Han, X., Jovicich, J., Salat, D., van der Kouwe, A., Quinn, B., Czanner, S., Busa, E., Pacheco, J., Albert, M., Killiany, R., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.051 · Cited by 1,508 · see citing works
Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children
Sowell, E. R., Thompson, P. M., Leonard, C. M., Welcome, S. E., Kan, E., & Toga, A. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1798-04.2004 · Cited by 1,481 · see citing works
The effect of age on the non-haemin iron in the human brain
Hallgren, B., & Sourander, P. (1958) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1958.tb12607.x · Cited by 1,427 · see citing works
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 · see citing works
Schizophrenia: Caused by a fault in programmed synaptic elimination during adolescence?
Feinberg, I. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90038-3 · Cited by 1,395 · see citing works
Pfefferbaum, A., Mathalon, D. H., Sullivan, E. V., Rawles, J. M., Zipursky, R. B., & Lim, K. O. (1994) · Archives of Neurology · doi:10.1001/archneur.1994.00540210046012 · Cited by 1,363 · see citing works
Self-citationSexual dimorphism of brain developmental trajectories during childhood and adolescence
Lenroot, R. K., Gogtay, N., Greenstein, D. K., Wells, E. M., Wallace, G. L., Clasen, L. S., Blumenthal, J. D., Lerch, J., Zijdenbos, A. P., Evans, A. C., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.053 · Cited by 1,309 · see citing works
Morphometric study of human cerebral cortex development
Huttenlocher, P. R. (1990) · Neuropsychologia · doi:10.1016/0028-3932(90)90031-i · Cited by 1,239 · 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
A growth curve approach to the measurement of change.
Rogosa, D., Brandt, D., & Zimowski, M. F. (1982) · Psychological Bulletin · doi:10.1037/0033-2909.92.3.726 · Cited by 1,084 · see citing works
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 · see citing works
Quantitative magnetic resonance imaging of human brain development: ages 4–18
Giedd, J. N., Snell, J. W., Lange, N., Rajapakse, J. C., Casey, B. J., Kozuch, P. L., Vaituzis, A. C., Vauss, Y. C., Hamburger, S. D., Kaysen, D., et al. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.4.551 · Cited by 1,024 · see citing works
Normal Sexual Dimorphism of the Adult Human Brain Assessed by In Vivo Magnetic Resonance Imaging
Goldstein, J. M. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.6.490 · Cited by 1,021 · see citing works
Dekaban, A. S., & Sadowsky, D. (1978) · Annals of Neurology · doi:10.1002/ana.410040410 · Cited by 1,014 · see citing works
The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception
Weiner, M. W., Veitch, D. P., Aisen, P. S. S., Beckett, L. A., Cairns, N. J., Green, R. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Liu, E., et al. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.05.1769 · Cited by 1,011 · see citing works
Imaging iron stores in the brain using magnetic resonance imaging
Haacke, E. M., Cheng, N. Y. C., House, M. J., Liu, Q., Neelavalli, J., Ogg, R. J., Khan, A., Ayaz, M., Kirsch, W., & Obenaus, A. (2005) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2004.10.001 · Cited by 995 · see citing works
Effects of age on tissues and regions of the cerebrum and cerebellum.
Jernigan, T., Archibald, S., Fennema-Notestine, C., Gamst, A., Stout, J. C., Bonner, J. C., & Hesselink, J. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00217-2 · Cited by 958 · see citing works
Rates of hippocampal atrophy correlate with change in clinical status in aging and AD
Jack, C. R., Petersen, R. C., Xu, Y., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Tangalos, E. G., & Kokmen, E. (2000) · Neurology · doi:10.1212/wnl.55.4.484 · Cited by 937 · see citing works
Peabody Picture Vocabulary Test
Henninger, N. (2010) · Springer eBooks · doi:10.1007/978-0-387-79948-3_1581 · Cited by 936 · see citing works
Scahill, R. I., Frost, C. D., Jenkins, R., Whitwell, J. L., Rossor, M. N., & Fox, N. C. (2003) · Archives of Neurology · doi:10.1001/archneur.60.7.989 · Cited by 924 · see citing works
Brain development, gender and IQ in children
Reiss, A. L., Abrams, M. T., Singer, H. S., ROSS, J. L., & DENCKLA, M. B. (1996) · Brain · doi:10.1093/brain/119.5.1763 · Cited by 867 · see citing works
Reliability of alcohol use indices. The Lifetime Drinking History and the MAST.
Skinner, H. A., & Sheu, W. J. (1982) · Journal of Studies on Alcohol · doi:10.15288/jsa.1982.43.1157 · Cited by 802 · see citing works
Synaptogenesis in human visual cortex—evidence for synapse elimination during normal development
Huttenlocher, P. R., de Courten, C., Garey, L. J., & Van der Loos, H. (1982) · Neuroscience Letters · doi:10.1016/0304-3940(82)90379-2 · Cited by 745 · see citing works
Raz, N., Gunning‐Dixon, F. M., Head, D. M., Rodrigue, K. M., Williamson, A. L., & Acker, J. D. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(03)00118-0 · Cited by 715 · see citing works
Raznahan, A., Shaw, P., Lalonde, F., Stockman, M., Wallace, G. L., Greenstein, D., Clasen, L., Gogtay, N., & Giedd, J. N. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0054-11.2011 · Cited by 712 · see citing works
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 · see citing works
One-Year Brain Atrophy Evident in Healthy Aging
Fjell, A. M., Walhovd, K. B., Fennema-Notestine, C., McEvoy, L. K., Hagler, D. J., Holland, D., Brewer, J. B., & Dale, A. M. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3252-09.2009 · Cited by 692 · see citing works
Marcus, D. S., Fotenos, A. F., Csernansky, J. G., Morris, J. C., & Buckner, R. L. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21407 · Cited by 635 · see citing works
Trajectories of brain aging in middle-aged and older adults: Regional and individual differences
Raz, N., Ghisletta, P., Rodrigue, K. M., Kennedy, K. M., & Lindenberger, U. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.020 · Cited by 626 · see citing works
Pfefferbaum, A., Lim, K. O., Zipursky, R. B., Mathalon, D. H., Rosenbloom, M. J., Lane, B., Ha, C. N., & Sullivan, E. V. (1992) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.1992.tb00702.x · Cited by 566 · see citing works
Self-citationJovicich, J., Czanner, S., Han, X., Salat, D. H., van der Kouwe, A. J. W., Quinn, B. T., Pacheco, J., Albert, M., Killiany, R., & Blacker, D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.010 · Cited by 549 · see citing works
Longitudinal pattern of regional brain volume change differentiates normal aging from MCI
Driscoll, I. F., Davatzikos, C. A., An, Y., Wu, X., Shen, D. G., Kraut, M. A., & Resnick, S. M. (2009) · Neurology · doi:10.1212/wnl.0b013e3181a82634 · Cited by 527 · see citing works
A Group-Test for Assessing Hand- and Eye-Dominance
Crovitz, H. F., & Zener, K. (1962) · The American Journal of Psychology · doi:10.2307/1419611 · Cited by 524 · see citing works
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 · see citing works
Anatomical Mapping of White Matter Hyperintensities (WMH)
DeCarli, C. S., Fletcher, E. M., Ramey, V. H., Harvey, D. J., & Jagust, W. J. (2004) · Stroke · doi:10.1161/01.str.0000150668.58689.f2 · Cited by 494 · see citing works
The SRI24 multichannel atlas of normal adult human brain structure
Torsten Rohlfing, B., Zahr, N. M., Sullivan, E. V., & Pfefferbaum, A. (2009) · Human Brain Mapping · doi:10.1002/hbm.20906 · Cited by 477 · see citing works
Self-citationThe Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception
Weiner, M. W., Veitch, D. P., Aisen, P. S. S., Beckett, L. A., Cairns, N. J., Green, R. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Liu, E., et al. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.09.172 · Cited by 477 · see citing works
Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life.
Blatter, D. D., Bigler, E. D., Gale, S. D., Johnson, S. C., Anderson, C. V., Burnett, B. M., Parker, N., Kurth, S. M., & Horn, S. D. (1995) · PubMed Central · Cited by 454 · see citing works
Differential aging of the medial temporal lobe
Raz, N., Rodrigue, K., Head, D., Kennedy, K. M., & Acker, J. D. (2004) · Neurology · doi:10.1212/01.wnl.0000106466.09835.46 · Cited by 453 · see citing works
Tisserand, D. J., Pruessner, J. C., Sanz‐Arigita, E., van Boxtel, M. P. J., Evans, A. C., Jolles, J., & Uylings, H. B. M. (2002) · NeuroImage · doi:10.1006/nimg.2002.1173 · Cited by 411 · see citing works
Pfefferbaum, A., Sullivan, E. V., Rosenbloom, M. J., Mathalon, D. H., & Lim, K. O. (1998) · Archives of General Psychiatry · doi:10.1001/archpsyc.55.10.905 · Cited by 396 · see citing works
Self-citationNeuroanatomical substrates of age-related cognitive decline.
Salthouse, T. A. (2011) · Psychological Bulletin · doi:10.1037/a0023262 · Cited by 387 · see citing works
Torsten Rohlfing, B., & Maurer, C. R. (2003) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2003.808506 · Cited by 373 · see citing works
Self-citationBrain Development Cooperative Group (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr018 · Cited by 372 · see citing works
MILLER, A. K. H., Alston, R. L., & Corsellis, J. (1980) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.1980.tb00283.x · Cited by 351 · see citing works
Brain ferritin iron may influence age- and gender-related risks of neurodegeneration
Bartzokis, G., Tishler, T. A., Lu, P. H., Villablanca, P. J., Altshuler, L. L., Carter, M., Huang, D., Edwards, N. J., & Mintz, J. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.02.005 · Cited by 343 · see citing works
Raznahan, A., Lerch, J. P., Lee, N., Greenstein, D. K., Wallace, G. L., Stockman, M., CLASEN, L. S., Shaw, P. W., & Giedd, J. N. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.028 · Cited by 297 · see citing works
Cross-sectional age variance extraction: What's change got to do with it?
Lindenberger, U., von Oertzen, T., Ghisletta, P., & Hertzog, C. K. (2011) · Psychology and Aging · doi:10.1037/a0020525 · Cited by 290 · see citing works
Rusinek, H., De Santi, S., Frid, D., Tsui, W.-H., Tarshish, C. Y., Convit, A., & de Leon, M. J. (2003) · Radiology · doi:10.1148/radiol.2293021299 · Cited by 281 · see citing works
Differential aging of the human striatum: longitudinal evidence.
Raz, N., Rodrigue, K. M., Kennedy, K. M., Head, D. M., Gunning‐Dixon, F. M., & Acker, J. D. (2003) · PubMed Central · Cited by 278 · see citing works
Raznahan, A., Lee, Y., Stidd, R., Long, R., Greenstein, D., Clasen, L., Addington, A., Gogtay, N., Rapoport, J. L., & Giedd, J. N. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006025107 · Cited by 278 · see citing works
Shrinkage of the Entorhinal Cortex over Five Years Predicts Memory Performance in Healthy Adults
Rodrigue, K. M., & Raz, N. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4166-03.2004 · Cited by 278 · see citing works
Retrospective correction of MR intensity inhomogeneity by information minimization
Likar, B., Viergever, M. A., & Pernuš, F. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.974934 · Cited by 270 · see citing works
Luft, A. R. (1999) · Cerebral Cortex · doi:10.1093/cercor/9.7.712 · Cited by 238 · see citing works
When does brain aging accelerate? Dangers of quadratic fits in cross-sectional studies
Fjell, A. M., Walhovd, K. B., Westlye, L. T., Østby, Y., Tamnes, C. K., Jernigan, T. L., Gamst, A. C., & Dale, A. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.061 · Cited by 236 · see citing works
Age, Alzheimer disease, and brain structure
Raji, C. A., López, O. L., Kuller, L. H., Carmichael, O. T., & Becker, J. T. (2009) · Neurology · doi:10.1212/wnl.0b013e3181c3f293 · Cited by 230 · see citing works
Plasticity and injury in the developing brain
Johnston, M. V., Ishida, A., Nakajima, W., Matsushita, H., Nishimura, A., & Tsuji, M. (2008) · Brain and Development · doi:10.1016/j.braindev.2008.03.014 · Cited by 230 · see citing works
Effects of age and sex on volumes of the thalamus, pons, and cortex
Sullivan, E. V., Rosenbloom, M. J., Serventi, K. L., & Pfefferbaum, A. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(03)00044-7 · Cited by 217 · see citing works
Self-citationSowell, E. R. (2002) · Cerebral Cortex · doi:10.1093/cercor/12.1.17 · Cited by 212 · see citing works
Neuropsychologic correlates of MRI white matter hyperintensities
Schmidt, R., Fazekas, F., Offenbacher, H., Dusek, T., Zach, E., Reinhart, B., Grieshofer, P., Freidl, W., Eber, B., Schumacher, M., et al. (1993) · Neurology · doi:10.1212/wnl.43.12.2490 · Cited by 207 · see citing works
Diffusion tensor imaging of deep gray matter brain structures: Effects of age and iron concentration
Pfefferbaum, A., Elfar Adalsteinsson, A., Torsten Rohlfing, B., & Sullivan, E. V. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.04.013 · Cited by 192 · see citing works
Self-citationRaz, N., & Lindenberger, U. (2011) · Psychological Bulletin · doi:10.1037/a0024503 · Cited by 187 · see citing works
Mapping cortical asymmetry and complexity patterns in normal children
Blanton, R. E., Levitt, J. G., Thompson, P. M., Narr, K. L., Capetillo-Cunliffe, L., Nobel, A., Singerman, J. D., McCracken, J. T., & Toga, A. W. (2001) · Psychiatry Research Neuroimaging · doi:10.1016/s0925-4927(01)00091-9 · Cited by 186 · see citing works
Longitudinal decline of the neuronal marker N-acetyl aspartate in Alzheimer's disease
Elfar Adalsteinsson, A., Sullivan, E. V., Kleinhans, N. M., Spielman, D. M., & Pfefferbaum, A. (2000) · The Lancet · doi:10.1016/s0140-6736(00)02246-7 · Cited by 174 · see citing works
Self-citationPfefferbaum, A., Rosenbloom, M. J., Elfar Adalsteinsson, A., & Sullivan, E. V. (2006) · Brain · doi:10.1093/brain/awl242 · Cited by 171 · see citing works
Self-citationBammer, R., Hope, T. A., Aksoy, M., & Alley, M. T. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21109 · Cited by 169 · see citing works
Sullivan, E. V., Torsten Rohlfing, B., & Pfefferbaum, A. (2010) · Developmental Neuropsychology · doi:10.1080/87565641003689556 · Cited by 155 · see citing works
Self-citationEvidence for a secular increase in human brain weight during the past century
MILLER, A. K. H., & Corsellis, J. (1977) · Annals of Human Biology · doi:10.1080/03014467700007142 · Cited by 144 · see citing works
Development of the Brain’s Functional Network Architecture
Vogel, A. C., Power, J. D., Petersen, S. E., & Schlaggar, B. L. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9145-7 · Cited by 137 · see citing works
Variability of human brain structure size: ages 4–20 years
Lange, N., Giedd, J. N., Xavier Castellanos, F., Vaituzis, A. C., & Rapoport, J. L. (1997) · Psychiatry Research: Neuroimaging · doi:10.1016/s0925-4927(96)03054-5 · Cited by 134 · see citing works
Fjell, A. M., Westlye, L. T., Amlien, I. K., Espeseth, T., Reinvang, I., Raz, N., Agartz, I., Salat, D. H., Greve, D. N., Fischl, B. R., et al. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0115-09.2009 · Cited by 125 · see citing works
Lu, L., Leonard, C. M., Thompson, P. M., Kan, E., Jolley, J., Welcome, S., Toga, A. W., & Sowell, E. R. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl019 · Cited by 121 · see citing works
Cerebral cortex: an MRI-based study of volume and variance with age and sex.
Carne, R., Vogrin, S. J., Litewka, L., & Cook, M. (2006) · Journal of clinical neuroscience · doi:10.1016/j.jocn.2005.02.013 · Cited by 119 · see citing works
Zhu, Y., Dufouil, C., Tzourio, C., & Chabriat, H. (2011) · Stroke · doi:10.1161/strokeaha.110.600114 · Cited by 118 · see citing works
Brain MRI Lesion Load at 1.5T and 3T versus Clinical Status in Multiple Sclerosis
Stankiewicz, J. M., Glanz, B. I., Healy, B. C., Arora, A., Neema, M., Benedict, R. H. B., Guss, Z. D., Tauhid, S., Buckle, G. J., Houtchens, M. K., et al. (2009) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2009.00449.x · Cited by 117 · see citing works
A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T)
Shiva Keihaninejad, A., Heckemann, R. A., Fagiolo, G., Symms, M. R., Hajnal, J. V., & Hammers, A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.064 · Cited by 114 · see citing works
Preservation of hippocampal volume throughout adulthood in healthy men and women
Sullivan, E. V., Marsh, L., & Pfefferbaum, A. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.09.015 · Cited by 111 · see citing works
Self-citationDynamics of pruning in simulated large-scale spiking neural networks
Iglesias, J., Eriksson, J. L., Grize, F., Tomassini, M., & Villa, A. E. P. (2004) · Biosystems · doi:10.1016/j.biosystems.2004.09.016 · Cited by 109 · see citing works
Pfefferbaum, A., Chanraud, S., Pitel, A.-L., Muller-Oehring, E., Shankaranarayanan, A., Alsop, D. C., Rohlfing, T., & Sullivan, E. V. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq090 · Cited by 104 · see citing works
Self-citationBrain Volume Changes on Longitudinal Magnetic Resonance Imaging in Normal Older People
Tang, Y. C., Whitman, G. T., López, I. A., & Baloh, R. W. (2001) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2001.tb00068.x · Cited by 103 · see citing works
Giedd, J. N., Stockman, M., Weddle, C., Liverpool, M., Alexander-Bloch, A., Wallace, G. L., Lee, N. R., Lalonde, F., & Lenroot, R. K. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9151-9 · Cited by 101 · see citing works
A longitudinal study of gray matter volume decline with age and modifying factors
Taki, Y., Kinomura, S., Sato, K., Goto, R., Kawashima, R., & Fukuda, H. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.05.003 · Cited by 93 · see citing works
Multi-classifier framework for atlas-based image segmentation
Rohlfing, T., & Maurer, C. R. (2005) · Pattern Recognition Letters · doi:10.1016/j.patrec.2005.03.017 · Cited by 80 · see citing works
Age effect on subcortical structures in healthy adults
Goodro, M., Sameti, M., Patenaude, B., & Fein, G. (2012) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2011.09.014 · Cited by 78 · see citing works
Pfefferbaum, A., Rosenbloom, M. J., Torsten Rohlfing, B., Elfar Adalsteinsson, A., Kemper, C. A., Deresinski, S. C., & Sullivan, E. V. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.052 · Cited by 73 · see citing works
Self-citationRosenbloom, M. J., Sullivan, E. V., Sassoon, S. A., O'reilly, A., Fama, R., Kemper, C. A., Deresinski, S. C., & Pfefferbaum, A. (2007) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2007.68.115 · Cited by 65 · see citing works
Self-citationLongitudinal Progression of Subclinical Structural Brain Disease in Normal Aging
Cook, I. A., Leuchter, A. F., Morgan, M. L., Dunkin, J. J., Witte, E. A., David, S., Mickes, L., O'Hara, R. M., Simon, S. L., Lufkin, R. B., et al. (2004) · American Journal of Geriatric Psychiatry · doi:10.1097/00019442-200403000-00010 · Cited by 65 · see citing works
Sullivan, E. V., Pfefferbaum, A., Torsten Rohlfing, B., Baker, F. C., Padilla, M. L., & Colrain, I. M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.003 · Cited by 60 · see citing works
Self-citationWhite matter deterioration in 15 months: latent growth curve models in healthy adults
Raz, N., Yang, Y., Rodrigue, K. M., Kennedy, K. M., Lindenberger, U., & Ghisletta, P. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.11.018 · Cited by 57 · see citing works
The prevalence of cortical gray matter atrophy may be overestimated in the healthy aging brain.
Burgmans, S., van Boxtel, M. P. J., Vuurman, E. F. P. M., Smeets, F., Gronenschild, E. H. B. M., Uylings, H. B. M., & Jolles, J. (2009) · Neuropsychology · doi:10.1037/a0016161 · Cited by 50 · see citing works
Pfefferbaum, A., Torsten Rohlfing, B., Rosenbloom, M. J., & Sullivan, E. V. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.092 · Cited by 45 · see citing works
Self-citationBoss, A., Martirosian, P., Klose, U., Nägele, T., Claussen, C. D., & Schick, F. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20893 · Cited by 41 · see citing works
Fushimi, Y., Miki, Y., Urayama, S., Okada, T., Mori, N., Hanakawa, T., Fukuyama, H., & Togashi, K. (2007) · European Radiology · doi:10.1007/s00330-007-0688-9 · Cited by 30 · see citing works
Rabbitt, P. (2011) · Psychological Bulletin · doi:10.1037/a0024580 · Cited by 17 · see citing works
Correlation between baseline regional gray matter volume and global gray matter volume decline rate
Taki, Y., Kinomura, S., Sato, K., Goto, R., Wu, K., Kawashima, R., & Fukuda, H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.071 · Cited by 14 · see citing works
Nesselroade, J. R. (1986) · Educational Gerontology · doi:10.1080/0380127860120414 · Cited by 13 · see citing works
Flagged first, then by citations
3 of the 122 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Raz N Kennedy KM Jagust WJ D’Esposito M 2009 A systems approach to age-related change: Neuroanatomic changes, their modifiers, and cognitive correlates Imaging the Aging Brain Oxford University Press New York 43 70
Cited by
Sorted by citations
A meta-analysis of sex differences in human brain structure
Ruigrok, A. N. V., Salimi-Khorshidi, G., Lai, M.-C., Baron-Cohen, S., Lombardo, M. V., Tait, R. J., & Suckling, J. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.12.004 · Cited by 1,192 · see citing works
Adolescence as a sensitive period of brain development
Fuhrmann, D., Knoll, L. J., & Blakemore, S.-J. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.07.008 · Cited by 1,158 · see citing works
Clinical epidemiology of Alzheimer’s disease: assessing sex and gender differences
Mielke, M., Vemuri, P., & Rocca, W. (2014) · Clinical Epidemiology · doi:10.2147/clep.s37929 · Cited by 1,021 · see citing works
Fjell, A. M., McEvoy, L., Holland, D., Dale, A. M., & Walhovd, K. B. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.02.004 · Cited by 799 · see citing works
Storsve, A. B., Fjell, A. M., Tamnes, C. K., Westlye, L. T., Overbye, K., Aasland, H. W., & Walhovd, K. B. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0391-14.2014 · Cited by 542 · see citing works
The developmental mismatch in structural brain maturation during adolescence
Mills, K. L., Goddings, A.-L., Clasen, L. S., Giedd, J. N., & Blakemore, S.-J. (2014) · Developmental Neuroscience · doi:10.1159/000362328 · Cited by 440 · see citing works
Human cognitive aging: <i>Corriger la fortune?</i>
Lindenberger, U. (2014) · Science · doi:10.1126/science.1254403 · Cited by 414 · see citing works
Effect of alcohol use on the adolescent brain and behavior
Lees, B., Meredith, L. R., Kirkland, A. E., Bryant, B. E., & Squeglia, L. M. (2020) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2020.172906 · Cited by 411 · see citing works
Microglia Priming with Aging and Stress
Niraula, A., Sheridan, J. F., & Godbout, J. P. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2016.185 · Cited by 398 · see citing works
Accelerated Brain Aging in Schizophrenia: A Longitudinal Pattern Recognition Study
Schnack, H. G., van Haren, N. E. M., Nieuwenhuis, M., Pol, H. E. H., Cahn, W., & Kahn, R. S. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15070922 · Cited by 376 · see citing works
Han, L. K. M., Dinga, R., Hahn, T., Ching, C. R. K., Eyler, L. T., Aftanas, L. I., Aghajani, M., Aleman, A., Baune, B. T., Berger, K., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0754-0 · Cited by 343 · see citing works
Thalamic structures and associated cognitive functions: Relations with age and aging
Fama, R., & Sullivan, E. V. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.03.008 · Cited by 323 · see citing works
Self-citationAlexander, R., Aragón, O. R., Bookwala, J., Cherbuin, N., Gatt, J. M., Kahrilas, I. J., Kästner, N., Lawrence, A. B., Lowe, L. J., Morrison, R., et al. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.12.002 · Cited by 329 · see citing works
Towards a unified analysis of brain maturation and aging across the entire lifespan: A MRI analysis
Pierrick Coupé, A., Catheline, G., Lanuza, E., Manjón, J. V., & Initiative, A. D. N. (2017) · Human Brain Mapping · doi:10.1002/hbm.23743 · Cited by 265 · see citing works
Structural Imaging Measures of Brain Aging
Lockhart, S. N., & DeCarli, C. S. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9268-3 · Cited by 272 · see citing works
Snyder, H. M., Asthana, S., Bain, L., Brinton, R., Craft, S., Dubal, D. B., Espeland, M. A., Gatz, M., Mielke, M. M., Raber, J., et al. (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.08.004 · Cited by 262 · see citing works
Brain Development in Heavy-Drinking Adolescents
Squeglia, L. M., Tapert, S. F., Sullivan, E. V., Jacobus, J., Meloy, M. J., Rohlfing, T., & Pfefferbaum, A. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.14101249 · Cited by 245 · see citing works
Self-citationAlcohol and Drug Use and the Developing Brain
Squeglia, L. M., & Gray, K. M. (2016) · Current Psychiatry Reports · doi:10.1007/s11920-016-0689-y · Cited by 251 · see citing works
Alcohol's Effects on the Brain: Neuroimaging Results in Humans and Animal Models
Zahr, N. M. (2017) · Alcohol research · doi:10.35946/arcr.v38.2.04 · Cited by 228 · see citing works
Eileen Luders, A., Cherbuin, N., & Christian Gaser, B. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.007 · Cited by 183 · see citing works
Altered Brain Developmental Trajectories in Adolescents After Initiating Drinking
Pfefferbaum, A., Kwon, D., Brumback, T., Thompson, W. K., Cummins, K. M., Tapert, S. F., Brown, S. A., Colrain, I. M., Baker, F. C., Prouty, D., et al. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.17040469 · Cited by 182 · see citing works
Self-citationSchättin, A., Arner, R., Gennaro, F., & de Bruin, E. D. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00278 · Cited by 167 · see citing works
Trajectories of imaging markers in brain aging: the Rotterdam Study
Vinke, E. J., de Groot, M., Venkatraghavan, V., Klein, S., Niessen, W. J., Ikram, M. A., & Vernooij, M. W. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.07.001 · Cited by 162 · see citing works
Pfefferbaum, A., Torsten Rohlfing, B., Pohl, K. M., Lane, B., Chu, W., Kwon, D., Nichols, B. N., Brown, S. A., Tapert, S. F., Cummins, K. M., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv205 · Cited by 167 · see citing works
Self-citationAssociation of Neighborhood-Level Disadvantage With Cerebral and Hippocampal Volume
Hunt, J. F. V., Buckingham, W. J., Kim, A. J., Oh, J. M., Vogt, N. M., Jonaitis, E. M., Hunt, T. K. A., Zuelsdorff, M. L., Powell, W. R., Norton, D., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2019.4501 · Cited by 166 · see citing works
Evolution of deep gray matter volume across the human lifespan
Narvacan, K., Treit, S., Camicioli, R. M., Martin, W. R. W., & Beaulieu, C. (2017) · Human Brain Mapping · doi:10.1002/hbm.23604 · Cited by 153 · see citing works
Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3–90 years
Dima, D., Modabbernia, A., Papachristou, E., Doucet, G. E., Agartz, I., Aghajani, M., Akudjedu, T. N., Albajes‐Eizagirre, A., Alnæs, D., Alpert, K. I., et al. (2021) · Human Brain Mapping · doi:10.1002/hbm.25320 · Cited by 158 · see citing works
Normative data for subcortical regional volumes over the lifetime of the adult human brain
Potvin, O., Mouiha, A., Dieumegarde, L., & Duchesne, S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.016 · Cited by 134 · see citing works
Pfefferbaum, A., Rogosa, D., Rosenbloom, M. J., Chu, W., Sassoon, S. A., Kemper, C. A., Deresinski, S. C., Torsten Rohlfing, B., Zahr, N. M., & Sullivan, E. V. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.01.008 · Cited by 122 · see citing works
Self-citationThe lifespan trajectory of neural oscillatory activity in the motor system
Heinrichs‐Graham, E., McDermott, T. J., Mills, M. S., Wiesman, A. I., Wang, Y., Stephen, J. M., Calhoun, V. D., & Wilson, T. W. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.02.013 · Cited by 116 · see citing works
Neurobiological and Cognitive Profile of Young Binge Drinkers: a Systematic Review and Meta-Analysis
Lees, B., Mewton, L., Stapinski, L. A., Squeglia, L. M., Rae, C. D., & Teesson, M. (2019) · Neuropsychology Review · doi:10.1007/s11065-019-09411-w · Cited by 109 · see citing works
Cerebellar volume in schizophrenia and bipolar I disorder with and without psychotic features
Laidi, C., d’Albis, M.-A., Wessa, M., Linke, J. O., Phillips, M. L., Delavest, M., Bellivier, F., Versace, A., Almeida, J., Sarrazin, S., et al. (2014) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12363 · Cited by 96 · see citing works
Sun, Y., Lee, R., Yu, C., Collinson, S. L., Thakor, N. V., Bezerianos, A., & Sim, K. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118857 · Cited by 94 · see citing works
A Life-Long Approach to Physical Activity for Brain Health
Macpherson, H., Teo, W.-P., Schneider, L. A., & Smith, A. E. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00147 · Cited by 103 · see citing works
Pohl, K. M., Sullivan, E. V., Rohlfing, T., Chu, W., Kwon, D., Nichols, B. N., Zhang, Y., Brown, S. A., Tapert, S. F., Cummins, K., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.061 · Cited by 85 · see citing works
Self-citationThe Role of Aging, Drug Dependence, and Hepatitis C Comorbidity in Alcoholism Cortical Compromise
Sullivan, E. V., Zahr, N. M., Sassoon, S. A., Thompson, W. K., Kwon, D., Pohl, K. M., & Pfefferbaum, A. (2018) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2018.0021 · Cited by 85 · see citing works
Self-citationNormative morphometric data for cerebral cortical areas over the lifetime of the adult human brain
Potvin, O., Dieumegarde, L., & Duchesne, S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.05.019 · Cited by 86 · see citing works
Pfefferbaum, A., Zahr, N. M., Sassoon, S. A., Kwon, D., Pohl, K. M., & Sullivan, E. V. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.06.006 · Cited by 84 · see citing works
Self-citationRegional vulnerability of hippocampal subfields to aging measured by structural and diffusion MRI
Pereira, J. B., Valls‐Pedret, C., Ros, E., Palacios, E. M., Falcón, C., Bargalló, N., Bartrés‐Faz, D., Wahlund, L., Westman, E., & Junqué, C. (2013) · Hippocampus · doi:10.1002/hipo.22234 · Cited by 81 · see citing works
Global and regional annual brain volume loss rates in physiological aging
Schippling, S., Ostwaldt, A., Suppa, P., Spies, L., Manogaran, P., Gocke, C., Huppertz, H., & Opfer, R. (2017) · Journal of Neurology · doi:10.1007/s00415-016-8374-y · Cited by 83 · see citing works
Bhattacharjee, S., Kashyap, R., Goodwill, A. M., O'Brien, B. A., Rapp, B., Oishi, K., Desmond, J. E., & Chen, S. H. A. (2022) · Brain Stimulation · doi:10.1016/j.brs.2021.11.018 · Cited by 80 · see citing works
“in parieto-occipital regions for elderly males compared to females [82,83].”
Executive Functions and Neurocognitive Aging
Reuter‐Lorenz, P. A., Festini, S. B., & Jantz, T. K. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-411469-2.00013-3 · Cited by 84 · see citing works
Rollins, C. P. E., Gallino, D., Kong, V., Ayranci, G., Devenyi, G. A., Germann, J., & Chakravarty, M. M. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2018.11.016 · Cited by 79 · see citing works
Knyazeva, M. G., Barzegaran, E., Vildavski, V. Y., & Démonet, J. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.05.018 · Cited by 89 · see citing works
Influence of age, disease onset and ApoE4 on visual medial temporal lobe atrophy cut‐offs
Pereira, J. B., Cavallin, L., Spulber, G., Aguilar, C., Mecocci, P., Vellas, B. J., Tsolaki, M., Kłoszewska, I., Soininen, H. S., Spenger, C., et al. (2013) · Journal of Internal Medicine · doi:10.1111/joim.12148 · Cited by 77 · see citing works
Shaw, M. E., Sachdev, P. S., Anstey, K. J., & Cherbuin, N. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.12.009 · Cited by 77 · see citing works
George, R. J. S., Hinder, M. R., Puri, R., Walker, E., & Callisaya, M. L. (2020) · Neuroscience · doi:10.1016/j.neuroscience.2020.10.027 · Cited by 75 · see citing works
Potential Brain Age Reversal after Pregnancy: Younger Brains at 4–6 Weeks Postpartum
Eileen Luders, A., Gingnell, M., Poromaa, I. S., Engman, J., Kurth, F., & Christian Gaser, B. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.07.006 · Cited by 70 · see citing works
Storsve, A. B., Fjell, A. M., Yendiki, A., & Walhovd, K. B. (2016) · PLoS ONE · doi:10.1371/journal.pone.0156770 · Cited by 71 · see citing works
Hughes, T. M., Ryan, C. M., Aizenstein, H. J., Nunley, K. A., Gianaros, P. J., Miller, R. G., Costacou, T., Strotmeyer, E. S., Orchard, T. J., & Rosano, C. (2013) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2013.07.001 · Cited by 70 · see citing works
Pfefferbaum, A., & Sullivan, E. V. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.05.005 · Cited by 69 · see citing works
Self-citationDougherty, R. J., Schultz, S. A., Boots, E. A., Ellingson, L. D., Meyer, J. D., Riper, S. M. V., Stegner, A. J., Edwards, D. F., Oh, J. M., Einerson, J. A., et al. (2017) · Brain and Behavior · doi:10.1002/brb3.625 · Cited by 68 · see citing works
Tullo, S., Patel, R., Devenyi, G. A., Salaciak, A., Bedford, S. A., Farzin, S., Wlodarski, N., Tardif, C. L., Breitner, J. C. S., & Chakravarty, M. M. (2019) · Human Brain Mapping · doi:10.1002/hbm.24771 · Cited by 62 · see citing works
Age-Related Differences in Brain Morphology and the Modifiers in Middle-Aged and Older Adults
Zhao, L., Matloff, W. J., Ning, K., Kim, H., Dinov, I. D., & Toga, A. W. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy300 · Cited by 67 · see citing works
Influence of BDNF Val66Met on the relationship between physical activity and brain volume
Brown, B. M., Bourgeat, P., Peiffer, J. J., Burnham, S. C., Laws, S. M., Rainey‐Smith, S. R., David Bartrés-faz, A., Villemagne, V. L., Taddei, K., Rembach, A., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000867 · Cited by 66 · see citing works
Perspectives on fronto-fugal circuitry from human imaging of alcohol use disorders
Zahr, N. M., Pfefferbaum, A., & Sullivan, E. V. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.01.018 · Cited by 64 · see citing works
Self-citationNeural predictors of alcohol use and psychopathology symptoms in adolescents
Brumback, T., Worley, M. J., Nguyen‐Louie, T. T., Squeglia, L. M., Jacobus, J., & Tapert, S. F. (2016) · Development and Psychopathology · doi:10.1017/s0954579416000766 · Cited by 62 · see citing works
Frodl, T., Strehl, K., Carballedo, A., Tozzi, L., Doyle, M., Amico, F., Gormley, J., Lavelle, G., & O’Keane, V. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00088-6 · Cited by 63 · see citing works
Sele, S., Liem, F., Mérillat, S., & Jäncke, L. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118370 · Cited by 60 · see citing works
Morphometric network differences in ageing versus Alzheimer’s disease dementia
Binette, A. P., Gonneaud, J., Vogel, J. W., Joie, R. L., Rosa‐Neto, P., Collins, D. L., Poirier, J., Breitner, J. C. S., Villeneuve, S., Vachon‐Presseau, É., et al. (2019) · Brain · doi:10.1093/brain/awz414 · Cited by 59 · see citing works
Zheng, F., Liu, Y., Yuan, Z., Gao, X., He, Y., Liu, X., Cui, D., Rui, Q., Chen, T., & Qiu, J. (2018) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.26037 · Cited by 55 · see citing works
Walhovd, K. B., Fjell, A. M., & Espeseth, T. (2014) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12120 · Cited by 54 · see citing works
Impact of age on cerebrovascular dilation versus reactivity to hypercapnia
Coverdale, N. S., Badrov, M. B., & Shoemaker, J. K. (2016) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x15626156 · Cited by 55 · see citing works
Structural and microstructral imaging of the brain in alcohol use disorders
Zahr, N. M. (2014) · Handbook of clinical neurology · doi:10.1016/b978-0-444-62619-6.00017-3 · Cited by 54 · see citing works
Monkeys that Voluntarily and Chronically Drink Alcohol Damage their Brains: a Longitudinal MRI Study
Kroenke, C. D., Torsten Rohlfing, B., Park, B. S., Sullivan, E. V., Pfefferbaum, A., & Grant, K. A. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.259 · Cited by 54 · see citing works
Self-citationAge and sex effects on corpus callosum morphology across the lifespan
Prendergast, D. M., Ardekani, B. A., Ikuta, T., John, M., Peters, B. D., DeRosse, P., Wellington, R. L., Malhotra, A. K., & Szeszko, P. R. (2015) · Human Brain Mapping · doi:10.1002/hbm.22800 · Cited by 54 · see citing works
Age Differences in Prefrontal Surface Area and Thickness in Middle Aged to Older Adults
Dotson, V. M., Szymkowicz, S. M., Sozda, C. N., Kirton, J. W., Green, M. L., O’Shea, A. M., McLaren, M. E., Anton, S. D., Manini, T. M., & Woods, A. J. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00250 · Cited by 55 · see citing works
Garza‐Villarreal, E. A., Chakravarty, M. M., Hansen, B., Eskildsen, S. F., Devenyi, G. A., Castillo-Padilla, D. V., Balducci, T., Reyes-Zamorano, E., Jespersen, S. N., Perez-Palacios, P., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.92 · Cited by 54 · see citing works
Vojinovic, D., Adams, H. H., Jian, X., Yang, Q., Smith, A. V., Bis, J. C., Teumer, A., Scholz, M., Armstrong, N. J., Hofer, E., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06234-w · Cited by 52 · see citing works
Thinning faster? Age-related cortical thickness differences in adults with autism spectrum disorder
Braden, B. B., & Riecken, C. (2019) · Research in Autism · doi:10.1016/j.rasd.2019.03.005 · Cited by 52 · see citing works
Sun, Y., Yu, C., Lee, R., Bezerianos, A., Collinson, S. L., & Sim, K. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.01.025 · Cited by 50 · see citing works
Suttie, M., Wozniak, J. R., Parnell, S. E., Wetherill, L. F., Mattson, S. N., Sowell, E. R., Kan, E., Riley, E. P., Jones, K. L., Coles, C. D., et al. (2018) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13820 · Cited by 50 · see citing works
Wolf, D. G. F., Fischer, F. U., de Florès, R., Chételat, G., & Fellgiebel, A. (2015) · Human Brain Mapping · doi:10.1002/hbm.22880 · Cited by 45 · see citing works
Dadar, M., Potvin, O., Camicioli, R. M., Duchesne, S., & Initiative, A. D. N. (2021) · Human Brain Mapping · doi:10.1002/hbm.25398 · Cited by 48 · see citing works
Using Developmental Science to Distinguish Adolescents and Adults Under the Law
Steinberg, L. D., & Icenogle, G. (2019) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-121318-085105 · Cited by 49 · see citing works
Takeuchi, H., Taki, Y., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., Yamamoto, Y., Hanawa, S., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-10104-8 · Cited by 46 · see citing works
Metzler‐Baddeley, C., Mole, J. P., Sims, R., Fasano, F., Evans, J., Jones, D. K., Aggleton, J. P., & Baddeley, R. (2019) · Scientific Reports · doi:10.1038/s41598-018-37658-5 · Cited by 47 · see citing works
Age-related changes in hand dominance and functional asymmetry in older adults
Sebastjan, A., Skrzek, A., Ignasiak, Z., & Sławińska, T. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177845 · Cited by 46 · see citing works
Caspi, Y., Brouwer, R. M., Schnack, H. G., van de Nieuwenhuijzen, M. E., Cahn, W., Kahn, R. S., Niessen, W. J., van der Lugt, A., & Pol, H. E. H. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116842 · Cited by 47 · see citing works
Dopaminergic system and dream recall: an MRI study in Parkinson's disease patients
De Gennaro, L., Lanteri, O., Piras, F., Scarpelli, S., Assogna, F., Ferrara, M., Caltagirone, C., & Spalletta, G. (2016) · Human Brain Mapping · doi:10.1002/hbm.23095 · Cited by 45 · see citing works
Long, Y., Pan, N., Ji, S., Qin, K., Chen, Y., Zhang, X., He, M., Suo, X., Yu, Y., Wang, S., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02130-6 · Cited by 42 · see citing works
Kennedy, K. M., & Raz, N. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00068-3 · Cited by 45 · see citing works
Eight-Year Follow-Up of Neuropsychiatric Symptoms and Brain Structural Changes in Fabry Disease
Lelieveld, I. M., Böttcher, A., Hennermann, J. B., Beck, M., & Fellgiebel, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0137603 · Cited by 44 · see citing works
Structural Brain Network Changes across the Adult Lifespan
Liu, K., Yao, S., Chen, K., Zhang, J., Yao, L., Li, K., Jin, Z., & Guo, X. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00275 · Cited by 44 · see citing works
Yuan, P., Voelkle, M. C., & Raz, N. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.032 · Cited by 44 · see citing works
Westacott, L. J., & Wilkinson, L. S. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.840266 · Cited by 44 · see citing works
Gray matter volume drives the brain age gap in schizophrenia: a SHAP study
Ballester, P. L., Suh, J. S., Ho, N. C. W., Liang, L., Hassel, S., Strother, S. C., Arnott, S. R., Minuzzi, L., Sassi, R. B., Lam, R. W. M., et al. (2023) · Schizophrenia · doi:10.1038/s41537-022-00330-z · Cited by 42 · see citing works
Marié, D., Müller, C. A. H., ALTENMÜLLER, E. O., Ville, D. V. D., Jünemann, K., Scholz, D. S., Krüger, T. H. C., Worschech, F., Kliegel, M., Sinke, C., et al. (2023) · Neuroimage Reports · doi:10.1016/j.ynirp.2023.100166 · Cited by 42 · see citing works
A Lifespan fMRI Study of Neurodevelopment Associated with Reading Chinese
Siok, W. T., Jia, F., Liu, C. Y., Perfetti, C. A., & Tan, L. H. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa038 · Cited by 37 · see citing works
Sullivan, E. V., & Pfefferbaum, A. (2022) · Alcohol · doi:10.1016/j.alcohol.2022.06.002 · Cited by 40 · see citing works
Self-citationPerson-Based Brain Morphometric Similarity is Heritable and Correlates With Biological Features
Doucet, G. E., Moser, D. A., Rodrigue, A., Bassett, D. S., Glahn, D. C., & Frangou, S. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy287 · Cited by 38 · see citing works
Monitoring the Cortical Activity of Children and Adults during Cognitive Task Completion
Khramova, M. V., Kuc, A. K., Maksimenko, V., Frolov, N. S., Grubov, V., Kurkin, S., Pisarchik, A. N., Shusharina, N. N., Fedorov, A., & Hramov, A. E. (2021) · Sensors · doi:10.3390/s21186021 · Cited by 37 · see citing works
van Ruitenbeek, P., Monteiro, T. S., Chalavi, S., King, B. R., Cuypers, K., Sunaert, S. G., Peeters, R. R., & Swinnen, S. P. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac514 · Cited by 36 · see citing works
Kang, D. W., Wang, S., Na, H.-R., Park, S. Y., Kim, N. Y., Lee, C. U., Kim, D., Son, S.-J., & Lim, H. K. (2020) · Scientific Reports · doi:10.1038/s41598-020-77848-8 · Cited by 36 · see citing works
Multi-modal brain magnetic resonance imaging database covering marmosets with a wide age range
Hata, J., Nakae, K., Tsukada, H., Woodward, A., Haga, Y., Iida, M., Uematsu, A., Seki, F., Ichinohe, N., Gong, R., et al. (2023) · Scientific Data · doi:10.1038/s41597-023-02121-2 · Cited by 36 · see citing works
Alcohol Use Disorder and Dementia: A Review
Zahr, N. M. (2024) · Alcohol research · doi:10.35946/arcr.v44.1.03 · Cited by 38 · see citing works
Executive functions and neurocognitive aging
Reuter‐Lorenz, P. A., Festini, S. B., & Jantz, T. K. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-816094-7.00019-2 · Cited by 34 · see citing works
Neurobiological Correlates of Change in Adaptive Behavior in Autism
Pretzsch, C. M., Schäfer, T., Lombardo, M. V., Warrier, V., Mann, C., Bletsch, A., Chatham, C., Floris, D. L., Tillmann, J., Yousaf, A., et al. (2022) · American Journal of Psychiatry · doi:10.1176/appi.ajp.21070711 · Cited by 34 · see citing works
Neurochemical and cognitive changes precede structural abnormalities in the TgF344-AD rat model
Fowler, C. F., Goerzen, D., Devenyi, G., Madularu, D., Chakravarty, M. M., & Near, J. (2022) · Brain Communications · doi:10.1093/braincomms/fcac072 · Cited by 32 · see citing works
The aging mind: A complex challenge for research and practice
Zihl, J., & Reppermund, S. (2022) · Aging Brain · doi:10.1016/j.nbas.2022.100060 · Cited by 36 · see citing works
- Authors
- Pfefferbaum, A., Rohlfing, T., Rosenbloom, M. J., Chu, W., Colrain, I. M., & Sullivan, E. V.
- Affiliations
- SRI International (US)
- Stanford Medicine (US)
- Corresponding author
- Sullivan, Edith V.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 65
- Pages
- 176-193
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3516371
- OpenAlex
- W2126769529
- Cited by
- 256
- References
- 122
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 12 · 2023: 19 · 2022: 22 · 2021: 26 · 2020: 31 · 2019: 18 · 2018: 25 · 2017: 23 · 2016: 22 · 2015: 17 · 2014: 14 · 2013: 5
- FWCI
- 5.89
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (AA017347, AA005965, AA012388, AA010723, AA017168, AG017919, EB008381)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- regional brain volume, brain aging, ventriculomegaly, Sylvian fissure, corpus callosum, linear mixed models
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Anatomy, Artistic, Atlases as Topic, Brain, Child, Female, Humans, Image Interpretation, Computer-Assisted, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Young Adult
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
