The DOI matches its Crossref record; 119 of the 122 references it cites were found in a registry or an index.
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.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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.
Citations
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
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,012
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
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 19,852
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 19,007
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
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
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628
Four Factor Index of Social Status
Paschou, R. (1975) · Cited by 6,989
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×
“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
Four Factor Index of Social Status [1975]
Hollingshead, A. B. (1975) · Cited by 5,151
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
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
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
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
The basics of brain development
Stiles, J., & Jernigan, T. L. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9148-4 · Cited by 2,009
(1967) · Medical Entomology and Zoology · Cited by 1,713
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
Handbook of the Psychology of Aging
(1986) · Journal of Gerontology · doi:10.1093/geronj/41.2.296 · Cited by 1,557
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
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
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
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
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
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
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
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
Morphometric study of human cerebral cortex development
Huttenlocher, P. R. (1990) · Neuropsychologia · doi:10.1016/0028-3932(90)90031-i · Cited by 1,239
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
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
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 1,052
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
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 1,033
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
Dekaban, A. S., & Sadowsky, D. (1978) · Annals of Neurology · doi:10.1002/ana.410040410 · Cited by 1,014
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
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 959
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
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
Peabody Picture Vocabulary Test
Henninger, N. (2010) · Springer eBooks · doi:10.1007/978-0-387-79948-3_1581 · Cited by 935
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 902
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
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 748
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
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
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
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
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 669
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
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
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 557
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
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
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
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 498
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. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.09.172 · Cited by 497
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
Self-citationQuantitative 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
Differential aging of the medial temporal lobe
Raz, N., Rodrigue, K. M., Head, D. M., Kennedy, K. M., & Acker, J. D. (2004) · Neurology · doi:10.1212/01.wnl.0000106466.09835.46 · Cited by 441
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
Neuroanatomical substrates of age-related cognitive decline.
Salthouse, T. A. (2011) · Psychological Bulletin · doi:10.1037/a0023262 · Cited by 410
Brain Development Cooperative Group (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr018 · Cited by 394
Adolf 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 391
Self-citationTorsten Rohlfing, B., & Maurer, C. R. (2003) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2003.808506 · Cited by 373
Self-citationMILLER, 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
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
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 304
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
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
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
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 · cited 1×
“Developmental trajectories for regional cortical volumes and surface area analysis revealed curvilinear growth and sexual dimorphism varying by cortical, allocortical, and subcortical tissue structures and developmental stage (also see Raznahan et al., 2010, 2011a).”
BackgroundShrinkage 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
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
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 243
Luft, A. R. (1999) · Cerebral Cortex · doi:10.1093/cercor/9.7.712 · Cited by 238
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
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
Effects of age and sex on volumes of the thalamus, pons, and cortex
Sullivan, E. V., Rosenbloom, M. J., Serventi, K. L., & Adolf Pfefferbaum, A. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(03)00044-7 · Cited by 227
Self-citationSowell, E. R. (2002) · Cerebral Cortex · doi:10.1093/cercor/12.1.17 · Cited by 212
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
Diffusion tensor imaging of deep gray matter brain structures: Effects of age and iron concentration
Adolf 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 190
Self-citationRaz, N., & Lindenberger, U. (2011) · Psychological Bulletin · doi:10.1037/a0024503 · Cited by 187
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
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
Self-citationAdolf Pfefferbaum, A., Rosenbloom, M. J., Elfar Adalsteinsson, A., & Sullivan, E. V. (2006) · Brain · doi:10.1093/brain/awl242 · Cited by 172
Self-citationBammer, R., Hope, T. A., Aksoy, M., & Alley, M. T. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21109 · Cited by 169
Sullivan, E. V., Torsten Rohlfing, B., & Adolf Pfefferbaum, A. (2010) · Developmental Neuropsychology · doi:10.1080/87565641003689556 · Cited by 161
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 143
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 143
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
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 131
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
Zhu, Y., Dufouil, C., Tzourio, C., & Chabriat, H. (2011) · Stroke · doi:10.1161/strokeaha.110.600114 · Cited by 120
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
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 119
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
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
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
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
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
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
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 97
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
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
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
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
Rosenbloom, M. J., Sullivan, E. V., Sassoon, S. A., O'reilly, A., Fama, R., Kemper, C. A., Deresinski, S. C., & Adolf Pfefferbaum, A. (2007) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2007.68.115 · Cited by 64
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 60
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
Self-citationThe 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
Pfefferbaum, A., Torsten Rohlfing, B., Rosenbloom, M. J., & Sullivan, E. V. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.092 · Cited by 45
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
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
Rabbitt, P. (2011) · Psychological Bulletin · doi:10.1037/a0024580 · Cited by 17
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
Nesselroade, J. R. (1986) · Educational Gerontology · doi:10.1080/0380127860120414 · Cited by 13
Flagged first, then by citations
3 of the 122 references couldn’t be matched to a known paper.
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
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
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
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
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
Metadata
- 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