Analysis of brain weight. I. Adult brain weight in relation to sex, race, and age
- PMID: 6893659
Analysis of brain weight. I. Adult brain weight in relation to sex, race, and age
Abstract
The weights of fresh brains obtained at consecutive autopsies over a period of five years were reviewed. Brains with lesions, such as large tumor, hemorrhage, infarct, or edema, were excluded. Analysis of the brain weight of 1,261 subjects, aged 25 to 80 years, show that the mean brain weight decreases in order from white men to black men to white women to black women. These differences are statistically significant and become apparent at age 6 years. The rate of decrease for the brain weight after age 25 years is highest for white men, followed by black women, white women, and black men, and, except that between white men and white women, the differences are statistically insignificant. Contrary to earlier reports, the mass decreases rapidly after age 80 years. In evaluating an individual brain weight, it is important to compare it with the norm for each subgroup of a given age.
Similar articles
-
Relationship of cardiovascular risk factors to echocardiographic left ventricular mass in healthy young black and white adult men and women. The CARDIA study. Coronary Artery Risk Development in Young Adults.Circulation. 1995 Aug 1;92(3):380-7. doi: 10.1161/01.cir.92.3.380. Circulation. 1995. PMID: 7634452
-
Analysis of brain weight. II. Adult brain weight in relation to body height, weight, and surface area.Arch Pathol Lab Med. 1980 Dec;104(12):640-5. Arch Pathol Lab Med. 1980. PMID: 6893660
-
Sex and Race Differences in the Association of Incident Ischemic Stroke With Risk Factors.JAMA Neurol. 2019 Feb 1;76(2):179-186. doi: 10.1001/jamaneurol.2018.3862. JAMA Neurol. 2019. PMID: 30535250 Free PMC article.
-
Age-, sex-, and race-related differences in myoglobin concentrations in the serum of healthy persons.Clin Chem. 1980 Dec;26(13):1864-8. Clin Chem. 1980. PMID: 7438432
-
A comparison of Australian caucasian and aboriginal brain weights.Clin Exp Neurol. 1981;18:44-51. Clin Exp Neurol. 1981. PMID: 6926391
Cited by
-
Machine Learning-Driven Prediction of Brain Age for Alzheimer's Risk: APOE4 Genotype and Gender Effects.Bioengineering (Basel). 2024 Sep 20;11(9):943. doi: 10.3390/bioengineering11090943. Bioengineering (Basel). 2024. PMID: 39329685 Free PMC article.
-
Biomarkers of aging.Sci China Life Sci. 2023 May;66(5):893-1066. doi: 10.1007/s11427-023-2305-0. Epub 2023 Apr 11. Sci China Life Sci. 2023. PMID: 37076725 Free PMC article. Review.
-
Changes in the volumes and asymmetry of subcortical structures in healthy individuals according to gender.Anat Sci Int. 2023 Sep;98(4):506-519. doi: 10.1007/s12565-023-00714-w. Epub 2023 Mar 22. Anat Sci Int. 2023. PMID: 36947348
-
A Causal Analysis of the Effect of Age and Sex Differences on Brain Atrophy in the Elderly Brain.Life (Basel). 2022 Oct 12;12(10):1586. doi: 10.3390/life12101586. Life (Basel). 2022. PMID: 36295023 Free PMC article.
-
Higher-order multi-shell diffusion measures complement tensor metrics and volume in gray matter when predicting age and cognition.Neuroimage. 2022 Jun;253:119063. doi: 10.1016/j.neuroimage.2022.119063. Epub 2022 Mar 8. Neuroimage. 2022. PMID: 35272021 Free PMC article.