Literature DB >> 12879325

Determination of indices of the corpus callosum associated with normal aging in Japanese individuals.

S Takeda1, Y Hirashima, H Ikeda, H Yamamoto, M Sugino, S Endo.   

Abstract

Indices of the corpus callosum with normal aging and their sex differences were elucidated using quantitative MRI. We studied 94 Japanese men (mean+/-SD 57.3+/-20.8 years, range 6-90 years) and 111 Japanese women (mean+/-SD 61.2+/-17.6 years, range 9-86 years) who had no intracranial lesions on MRI and no history of neurological illness. The widths of the rostrum, body and splenium, the anterior to posterior length, and the maximum height in the midsagittal image were selected for measurement. The Evans index, which is the relative ratio of lateral ventricle expansion, and the maximum width of the third ventricle in the axial image were also estimated for comparison. The widths of rostrum, body and splenium of the corpus callosum became thinner with age. Conversely, the anterior to posterior length and the maximum height of the corpus callosum increased with age. The ratio of the width of the body to the length of the corpus callosum and the ratio of the width of the body to the height of the corpus callosum are best correlated with age. No sex differences in regional size of corpus callosum, including these two ratios, were observed in any raw measures, although ventricular indices were larger in men than women. Evaluation of the ratio of the width of the body to its length and the ratio of the width of the body to its height may enable accurate estimation of normal or pathological changes of the corpus callosum. Aging and pathological atrophy of corpus callosum can be evaluated without any adjustment for gender.

Entities:  

Mesh:

Year:  2003        PMID: 12879325     DOI: 10.1007/s00234-003-1019-8

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  26 in total

1.  Brain development during childhood and adolescence: a longitudinal MRI study.

Authors:  J N Giedd; J Blumenthal; N O Jeffries; F X Castellanos; H Liu; A Zijdenbos; T Paus; A C Evans; J L Rapoport
Journal:  Nat Neurosci       Date:  1999-10       Impact factor: 24.884

2.  Sex differences in the inferior parietal lobule.

Authors:  M E Frederikse; A Lu; E Aylward; P Barta; G Pearlson
Journal:  Cereb Cortex       Date:  1999-12       Impact factor: 5.357

3.  Aging of the human corpus callosum: magnetic resonance imaging in normal volunteers.

Authors:  P M Doraiswamy; G S Figiel; M M Husain; W M McDonald; S A Shah; O B Boyko; E H Ellinwood; K R Krishnan
Journal:  J Neuropsychiatry Clin Neurosci       Date:  1991       Impact factor: 2.198

4.  Morphometric study on the postnatal growth of the hippocampus in Australian Aborigines and Caucasians.

Authors:  J Klekamp; A Riedel; C Harper; H J Kretschmann
Journal:  Brain Res       Date:  1991-05-17       Impact factor: 3.252

5.  Sexual dimorphism in the human corpus callosum? A comparison of methodologies.

Authors:  D Constant; H Ruther
Journal:  Brain Res       Date:  1996-07-15       Impact factor: 3.252

Review 6.  Corpus callosum atrophy is a possible indicator of region- and cell type-specific neuronal degeneration in Alzheimer disease: a magnetic resonance imaging analysis.

Authors:  H Hampel; S J Teipel; G E Alexander; B Horwitz; D Teichberg; M B Schapiro; S I Rapoport
Journal:  Arch Neurol       Date:  1998-02

7.  Atrophy of the corpus callosum in Alzheimer's disease versus healthy aging.

Authors:  J S Janowsky; J A Kaye; R A Carper
Journal:  J Am Geriatr Soc       Date:  1996-07       Impact factor: 5.562

8.  The relationship between corpus callosum size and forebrain volume.

Authors:  L Jäncke; J F Staiger; G Schlaug; Y Huang; H Steinmetz
Journal:  Cereb Cortex       Date:  1997 Jan-Feb       Impact factor: 5.357

9.  Measurement of the area of the anterior horn of the right lateral ventricle for the diagnosis of brain atrophy by CT. Correlation with several ventricular indices.

Authors:  Y Hirashima; K Shindo; S Endo
Journal:  Neuroradiology       Date:  1983       Impact factor: 2.804

10.  Morphometric analysis of the corpus callosum using MR: correlation of measurements with aging in healthy individuals.

Authors:  S Weis; M Kimbacher; E Wenger; A Neuhold
Journal:  AJNR Am J Neuroradiol       Date:  1993 May-Jun       Impact factor: 3.825

View more
  8 in total

1.  Genetics of microstructure of the corpus callosum in older adults.

Authors:  Sri C Kanchibhotla; Karen A Mather; Anbupalam Thalamuthu; Lin Zhuang; Peter R Schofield; John B J Kwok; David Ames; Margaret J Wright; Julian N Trollor; Wei Wen; Perminder S Sachdev
Journal:  PLoS One       Date:  2014-12-16       Impact factor: 3.240

2.  Morphology of the corpus callosum and schizophrenia: A case-control study in Kashan, Iran.

Authors:  Afshin Ahmadvand; Shahab Bagherzadeh Shahidi; Hamidreza Talari; Fatemeh Sadat Ghoreishi; Gholam Abbas Mousavi
Journal:  Electron Physician       Date:  2017-10-25

3.  Ethnicity Influences Corpus Callosum Dimensions.

Authors:  Hilda Nouri Hosseini; Mohammad Reza Mohammadi; Mohsen Aarabi; Narges Mohammadi; Mohammad Jafar Golalipour
Journal:  Neurol Res Int       Date:  2018-05-02

4.  Corpus callosum anatomical changes in Alzheimer patients and the effect of acetylcholinesterase inhibitors on corpus callosum morphometry.

Authors:  Ramada R Khasawneh; Ejlal Abu-El-Rub; Ayman Alzu'bi; Gamal T Abdelhady; Hana S Al-Soudi
Journal:  PLoS One       Date:  2022-07-27       Impact factor: 3.752

Review 5.  Motor control and neural plasticity through interhemispheric interactions.

Authors:  Naoyuki Takeuchi; Yutaka Oouchida; Shin-Ichi Izumi
Journal:  Neural Plast       Date:  2012-12-26       Impact factor: 3.599

6.  Measurement of the corpus callosum using magnetic resonance imaging in the north of iran.

Authors:  Mohammad Reza Mohammadi; Pouya Zhand; Behnoush Mortazavi Moghadam; Mohammad Jafar Golalipour
Journal:  Iran J Radiol       Date:  2011-12-25       Impact factor: 0.212

7.  Automated measurement of the human corpus callosum using MRI.

Authors:  Timothy J Herron; Xiaojian Kang; David L Woods
Journal:  Front Neuroinform       Date:  2012-09-12       Impact factor: 4.081

8.  Evaluation of the Evan's and Bicaudate Index for Rural Population in Central India using Computed Tomography.

Authors:  Atul Dhok; Prasheelkumar Gupta; Salman T Shaikh
Journal:  Asian J Neurosurg       Date:  2020-02-25
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.