Advertisement
Research Article| Volume 29, ISSUE 1, P55-60, January 01, 1991

Cerebral structure on MRI, Part I: Localization of age-related changes

DOI:https://doi.org/10.1016/0006-3223(91)90210-D
Cerebral structure on MRI, Part I: Localization of age-related changes
Previous ArticleSelective loss of cerebral cortical Sigma, but not PCP binding sites in schizophrenia
Next ArticleCerebral structure on MRI, part II: Specific changes in Alzheimer's and Huntington's diseases
      This paper is only available as a PDF. To read, Please Download here.

      Abstract

      In this report, earlier findings of age-related changes in brain morphology on magnetic resonance (MR) images are extended to include measurements of individual cerebral grey matter structures and an index of white matter degenerations. Volumes of caudate, lenticular, and diencephalic structures are estimated, as are grey matter volumes in eight separate cortical regions. Results suggest that between 30 and 79 years significant decreases occur in the volume of the caudate nucleus, in anterior diencephalic structures, and in the grey matter of most cortical regions. The data suggest that the volumes of the thalamus and the anterior cingulate cortex may be unchanged. Among those cortical regions found to be affected in aging, some evidence is present for greater change in association cortices and mesial temporal lobe structures. There are also dramatic age-related changes in the white matter, manifest as lengthened T2 values on MR images.
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Biological Psychiatry
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Register: Create an account
      Institutional Access: Sign in to ScienceDirect

      References

        • Awad I.A.
        • Spetzler R.F.
        • Hodak J.A.
        • Awad C.A.
        • Carey R.
        Incidental subcortical lesions identified on magnetic resonance imaging in the elderly. I. Correlation with age and cerebrovascular risk factors.
        Stroke. 1986; 17: 1084-1089
        • Awad I.A.
        • Johnson P.C.
        • Spetzler R.F.
        • Hodak J.A.
        Incidental subcortical lesions identified on magnetic resonance imaging in the elderly. II. Postmortem pathological correlations.
        Stroke. 1986; 17: 1090-1097
        • Awad I.A.
        • Spetzler R.F.
        • Hodak J.A.
        • Awad C.A.
        • Williams Jr., F.
        • Carey R.
        Incidental lesions noted on magnetic resonance imaging of the brain: Prevalence and clinical significance in various age groups.
        in: Neurosurgery. 20. 1987: 222-227
        • Broca P.
        Sur la préparation des hémisphères cérébraux.
        Rev Anthropol. 1878; 7: 385-498
        • Brody H.
        Organization of the cerebral cortex. II. A study of aging in the human cerebral cortex.
        J Comp Neurol. 1955; 102: 511-556
        • Brody H.
        Aging of the vertebrate brain.
        in: Rockstein M. Developement and Aging in the Nervous System. Academic Press, New York1973: 121-134
        • Brody H.
        Cell counts in cerebral cortex and brainstein.
        in: Alzheimer's Dieseaes: Senile Dementia and Related Disorders Aging. Vol. 7. Raven, New York1978: 345-351
        • Bugiani O.
        • Savarani S.
        • Perdelli F.
        • Mancardi G.L.
        • Leonardi A.
        Nerve cell loss with aging in the putamen.
        Eur Neurol. 1978; 17: 286-291
        • Coyle J.T.
        • Price D.L.
        • DeLong M.R.
        Alzheimer's diseases: A disorder of cortical cholinergic innervation.
        Science. 1983; 219: 1184-1190
        • Critchley M.
        Ageing of the nervous system.
        in: Cowdry E.V. Problems of Ageing. Williams & Wilkins, Baltimore1942: 518-534
        • Davis P.J.M.
        • Wright E.A.
        A new method for measuring cranial cavity volume its application to the assessment of cerebral atrophy at autopsy.
        Neuropathol Appl Neurobiol. 1977; 3: 341-358
        • Dekaban A.S.
        • Sadowsky D.
        Changes in brain weights during the span of human life: Relation of brain weights to body heights and body weights.
        Ann Neurol. 1978; 4: 345-356
        • Drachman D.A.
        • Levitt J.
        Human memory and the cholinergic system: A relationship to aging?.
        Arch Neurol. 1974; 30-: 113-121
        • Drayer B.P.
        Imaging of the aging brain. Part I. Normal findings.
        Radiology. 1988; 166: 785-796
        • Drayer B.
        • Burger P.
        • Darwin R.
        • Reider S.
        • Hefkens R.
        • Johnson G.A.
        MRI of brain iron.
        Am J Roentgenol. 1986; 147: 103-110
        • Fazekas F.
        • Chawluk J.B.
        • Alavi A.
        • Hurtig H.I.
        • Zimmerman R.A.
        MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging.
        Am J Roentgenol. 1987; 149: 351-356
        • Finch C.E.
        The relationships of aging changes in the basal to manifestations of Huntington's chorea.
        Ann Neurol. 1980; 7: 406-411
        • Gerard G.
        • Weisberg L.A.
        MRI periventricular lesions in adults.
        Neurology. 1986; 36: 998-1001
        • Henderson G.
        • Tomlinson B.E.
        • Gibson P.H.
        Cell counts in human cerebral cortex in normal adults throughts life using an image analysing computer.
        J Neurol Sci. 1980; 46: 113-136
        • Ho K.
        • Roessmann U.
        • Stramfjord J.V.
        • Monroe G.
        Analysis of brain weight. I. Adult brain weight in relation to sex, race, and age.
        Arch Pathol Lab Med. 1980; 104: 635-639
        • Hubbard B.M.
        • Anderson J.M.
        A quantitative study of cerebral atrophy in old age and senile dementia.
        J Neurol Sci. 1981; 50: 135-145
        • Jernigan T.L.
        • Press G.A.
        • Hesselink J.R.
        Methods for measuring brain morphologic features on magnetic resonance images: Validation and normal aging.
        Arch Neurol. 1990; 47: 27-32
        • Kertesz A.
        • Black S.E.
        • Tokar G.
        • Benke T.
        • Carr T.
        • Nicholson L.
        Periventricular and subcortical hyperintensities on magnetic resonance imaging.
        Arch Neurol. 1988; 45: 404-408
        • McGeer E.G.
        Neurotransnmitter systems in aging and senile dementia.
        Prog Neuropsychopharmacol. 1981; 5: 435-445
        • McGeer E.G.
        • McGeer P.L.
        Neurotransmitter metabolism in the aging braib.
        in: Neurobiology of Aging. Vol. 3. Raven, New York1976: 389-403
        • Pfefferbaum A.
        • Zatz L.M.
        • Jernigan T.L.
        Computer-interactive method for quantifying cerebrospinal fluid tissue in brain CT scans: Effects of aging.
        J Comput Assist Tomogr. 1986; 10: 571-578
        • Zatz L.M.
        • Jernigan T.L.
        • Ahumada A.J.
        Changes on computed cranial tomography with aging: Intracranial fluid volume.
        Am J Neuroradiol. 1982; 3: 1-11

      Article info

      Publication history

      Received in revised form: July 5, 1990
      Received: April 26, 1990

      Identification

      DOI: https://doi.org/10.1016/0006-3223(91)90210-D

      Copyright

      © 1991 Published by Elsevier Inc.

      ScienceDirect

      Access this article on ScienceDirect

      The content on this site is intended for healthcare professionals.


      We use cookies to help provide and enhance our service and tailor content. To update your cookie settings, please visit the Cookie Preference Center for this site.
      Copyright © 2023 Elsevier Inc. except certain content provided by third parties.


      RELX