Aging and the Brain: A Quantitative Study of Clinical CT Images

References

1. 1.↵
   1. Autti T,
   2. Raininko R,
   3. Vanhanen SL, et al

   . MRI of the normal brain from early childhood to middle age, I: appearances on T2- and proton density-weighted images and occurrence of incidental high-signal foci. Neuroradiology 1994;36:644–68 doi:10.1007/bf00600431 pmid:7862287

   CrossRefPubMedWeb of Science
2. 2.
   1. Coffey CE,
   2. Lucke JF,
   3. Saxton JA, et al

   . Sex differences in brain aging: a quantitative magnetic resonance imaging study. Arch Neurol 1998;55:169–79 doi:10.1001/archneur.55.2.169 pmid:9482358

   CrossRefPubMedWeb of Science
3. 3.↵
   1. Condon B,
   2. Grant R,
   3. Hadley D, et al

   . Brain and intracranial cavity volumes: in vivo determination by MRI. Acta Neurol Scand 1988;78:387–93 doi:10.1111/j.1600-0404.1988.tb03674.x pmid:3218445

   CrossRefPubMedWeb of Science
4. 4.↵
   1. Courchesne E,
   2. Chisum HJ,
   3. Townsend J, et al

   . Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. Radiology 2000;216:672–82 doi:10.1148/radiology.216.3.r00au37672 pmid:10966694

   CrossRefPubMedWeb of Science
5. 5.
   1. Ge Y,
   2. Grossman RI,
   3. Babb JS, et al

   . Age-related total gray matter and white matter changes in normal adult brain, Part I: volumetric MR imaging analysis. AJNR Am J Neuroradiol 2002;23:1327–33 pmid:12223373

   Abstract/FREE Full Text
6. 6.
   1. Jernigan TL,
   2. Archibald SL,
   3. Berhow MT, et al

   . Cerebral structure on MRI, Part I: Localization of age-related changes. Biol Psychiatry 1991;29:55–67 doi:10.1016/0006-3223(91)90210-d pmid:2001446

   CrossRefPubMedWeb of Science
7. 7.
   1. Pfefferbaum A,
   2. Mathalon DH,
   3. Sullivan EV, et al

   . A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. Arch Neurol 1994;51:874–87 doi:10.1001/archneur.1994.00540210046012 pmid:8080387

   CrossRefPubMedWeb of Science
8. 8.↵
   1. Xu J,
   2. Kobayashi S,
   3. Yamaguchi S, et al

   . Gender effects on age-related changes in brain structure. AJNR Am J Neuroradiol 2000;21:112–18 pmid:10669234

   Abstract/FREE Full Text
9. 9.↵
   1. Vagberg M,
   2. Granasen G,
   3. Svenningsson A

   . Brain parenchymal fraction in healthy adults-a systematic review of the literature. PLoS One 2017;12:e0170018 doi:10.1371/journal.pone.0170018 pmid:28095463

   CrossRefPubMed
10. 10.↵
    1. Losseff NA,
    2. Wang L,
    3. Lai HM, et al

    . Progressive cerebral atrophy in multiple sclerosis. A serial MRI study. Brain 1996;119:2009–19 doi:10.1093/brain/119.6.2009

    CrossRefPubMedWeb of Science
11. 11.↵
    1. Simon JH,
    2. Jacobs LD,
    3. Campion MK, et al

    . A longitudinal study of brain atrophy in relapsing multiple sclerosis: the Multiple Sclerosis Collaborative Research Group (MSCRG). Neurology 1999;53:139–48 doi:10.1212/wnl.53.1.139 pmid:10408550

    Abstract/FREE Full Text
12. 12.↵
    1. Rajagopalan V,
    2. Pioro EP

    . Brain parenchymal fraction: a relatively simple MRI measure to clinically distinguish ALS phenotypes. Biomed Res Int 2015;2015:693206 doi:10.1155/2015/693206 pmid:26783524

    CrossRefPubMed
13. 13.↵
    1. Fjell AM,
    2. McEvoy L,
    3. Holland D, et al

    ; Alzheimer’s Disease Neuroimaging Initiative. Brain changes in older adults at very low risk for Alzheimer’s disease. J Neurosci 2013;33:8237–42 doi:10.1523/JNEUROSCI.5506-12.2013 pmid:23658162

    Abstract/FREE Full Text
14. 14.↵
    1. Reardon PK,
    2. Seidlitz J,
    3. Vandekar S, et al

    . Normative brain size variation and brain shape diversity in humans. Science 2018;360:1222–27 doi:10.1126/science.aar2578 pmid:29853553

    Abstract/FREE Full Text
15. 15.↵
    1. Vagberg M,
    2. Lindqvist T,
    3. Ambarki K, et al

    . Automated determination of brain parenchymal fraction in multiple sclerosis. AJNR Am J Neuroradiol 2013;34:498–504 doi:10.3174/ajnr.A3262 pmid:22976234

    Abstract/FREE Full Text
16. 16.↵
    1. Moncrieff J,
    2. Leo J

    . A systematic review of the effects of antipsychotic drugs on brain volume. Psychol Med 2010;40:1409–02 doi:10.1017/S0033291709992297 pmid:20085668

    CrossRefPubMed
17. 17.↵
    1. Zivadinov R

    . Steroids and brain atrophy in multiple sclerosis. J Neurol Sci 2005;233:73–81 doi:10.1016/j.jns.2005.03.006 pmid:15882880

    CrossRefPubMed
18. 18.↵
    1. Paul CA,
    2. Au R,
    3. Fredman L, et al

    . Association of alcohol consumption with brain volume in the Framingham study. Arch Neurol 2008;65:1363–67 doi:10.1001/archneur.65.10.1363 pmid:18852353

    CrossRefPubMedWeb of Science
19. 19.↵
    1. Prust MJ,
    2. Jafari-Khouzani K,
    3. Kalpathy-Cramer J, et al

    . Standard chemoradiation for glioblastoma results in progressive brain volume loss. Neurology 2015;85:683–91 doi:10.1212/WNL.0000000000001861 pmid:26208964

    Abstract/FREE Full Text
20. 20.↵
    1. Giedd JN,
    2. Raznahan A,
    3. Alexander-Bloch A, et al

    . Child psychiatry branch of the National Institute of Mental Health longitudinal structural magnetic resonance imaging study of human brain development. Neuropsychopharmacology 2015;40:43–49 doi:10.1038/npp.2014.236 pmid:25195638

    CrossRefPubMed
21. 21.↵
    1. Matsumae M,
    2. Kikinis R,
    3. Morocz IA, et al

    . Age-related changes in intracranial compartment volumes in normal adults assessed by magnetic resonance imaging. J Neurosurg 1996;84:982–91 doi:10.3171/jns.1996.84.6.0982 pmid:8847593

    CrossRefPubMedWeb of Science
22. 22.↵
    1. Blatter DD,
    2. Bigler ED,
    3. Gale SD, et al

    . Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life. AJNR Am J Neuroradiol 1995;16:241–51 pmid:7726068

    Abstract/FREE Full Text
23. 23.↵
    1. Rudick RA,
    2. Fisher E,
    3. Lee JC, et al

    . Use of the brain parenchymal fraction to measure whole brain atrophy in relapsing-remitting MS: Multiple Sclerosis Collaborative Research Group. Neurology 1999;53:1698–1704 doi:10.1212/wnl.53.8.1698 pmid:10563615

    Abstract/FREE Full Text
24. 24.↵
    1. Fjell AM,
    2. Walhovd KB,
    3. Fennema-Notestine C, et al

    . One-year brain atrophy evident in healthy aging. J Neurosci 2009;29:15223–31 doi:10.1523/JNEUROSCI.3252-09.2009 pmid:19955375

    Abstract/FREE Full Text
25. 25.↵
    1. Meyer JS,
    2. Takashima S,
    3. Terayama Y, et al

    . CT changes associated with normal aging of the human brain. J Neurol Sci 1994;123:200–08 doi:10.1016/0022-510x(94)90224-0 pmid:8064316

    CrossRefPubMed
26. 26.↵
    1. Stafford JL,
    2. Albert MS,
    3. Naeser MA, et al

    . Age-related differences in computed tomographic scan measurements. Arch Neurol 1988;45:409–15 doi:10.1001/archneur.1988.00520280055016 pmid:3355396

    CrossRefPubMedWeb of Science
27. 27.↵
    1. Cala LA,
    2. Thickbroom GW,
    3. Black JL, et al

    . Brain density and cerebrospinal fluid space size: CT of normal volunteers. AJNR Am J Neuroradiol 1981;2:41–47 pmid:6784549

    Abstract/FREE Full Text
28. 28.↵
    1. Schwartz M,
    2. Creasey H,
    3. Grady CL, et al

    . Computed tomographic analysis of brain morphometrics in 30 healthy men, aged 21 to 81 years. Ann Neurol 1985;17:146–57 doi:10.1002/ana.410170208 pmid:3872096

    CrossRefPubMedWeb of Science
29. 29.↵
    1. Cauley KA,
    2. Fielden SW

    . A radiodensity histogram study of the brain in multiple sclerosis. Tomography 2018;4:194–203 doi:10.18383/j.tom.2018.00050 pmid:30588505

    CrossRefPubMed
30. 30.↵
    1. Inaba K,
    2. Teixeira PG,
    3. David JS, et al

    . Computed tomographic brain density measurement as a predictor of elevated intracranial pressure in blunt head trauma. Am Surg 2007;73:1023–26 pmid:17983073

    PubMedWeb of Science
31. 31.↵
    1. Svennerholm L,
    2. Bostrom K,
    3. Jungbjer B

    . Changes in weight and compositions of major membrane components of human brain during the span of adult human life of Swedes. Acta Neuropathol 1997;94:345–52 doi:10.1007/s004010050717 pmid:9341935

    CrossRefPubMedWeb of Science
32. 32.↵
    1. Cauley KA,
    2. Hu Y,
    3. Och J, et al

    . Modeling early postnatal brain growth and development with CT: changes in the brain radiodensity histogram from birth to 2 years. AJNR Am J Neuroradiol 2018;39:775–78 doi:10.3174/ajnr.A5559 pmid:29449277

    Abstract/FREE Full Text