Literature DB >> 16878302

Characterization of cortical thickness and ventricular width in normal aging: a morphometric study at 3 Tesla.

Christoph Preul1, Margret Hund-Georgiadis, Birte U Forstmann, Gabriele Lohmann.   

Abstract

PURPOSE: To describe loss of cortical thickness and ventricular enlargement during normal aging in a sample of 525 neurologically and psychiatrically inconspicuous subjects (17-68 years old).
MATERIALS AND METHODS: An automated segmentation algorithm was applied to assess cortical thickness and compared with conventional measurements of ventricular indices (ventricular body index (VBI), anterior horn index (AHI), and third ventricular width) as performed in clinical practice. Regression analysis was performed to elucidate the relationship between a decrease of the cortical mantle and increase in ventricular width with aging.
RESULTS: Cortical thickness decreases with age (r = -0.49, P < 0.01; r = -0.502 in male and r = -0.461 in female subjects). Regarding the ventricular indices, we found a significant correlation with age for both the whole sample and the subdivision by gender. Cortical thickness and ventricular width are closely correlated (r = -0.43 in women, r = -0.468 in men, P < 0.001 each). The bandwidth of variance scales up with aging in all parameters. The results are discussed in terms of the underlying mechanisms of normal aging.
CONCLUSION: Our findings suggest that a decrease in cortical thickness and increase in ventricular width occur with normal aging. The enlargement of the third ventricle correlates the most strongly with age.

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Year:  2006        PMID: 16878302     DOI: 10.1002/jmri.20665

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  18 in total

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2.  The Eye of the Beholder.

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3.  Mapping ventricular expansion onto cortical gray matter in older adults.

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4.  Diverse Brains.

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Journal:  Gen Psychol       Date:  2015-04

Review 5.  Role of Diffusion Tensor Imaging in Diagnosis and Estimation of Shunt Effect for Hydrocephalus in Stroke Patients: A Narrative Review.

Authors:  Sung-Ho Jang; Min-Jye Cho
Journal:  Diagnostics (Basel)       Date:  2022-05-25

6.  Cortical thickness differences between bipolar depression and major depressive disorder.

Authors:  Martin J Lan; Binod Thapa Chhetry; Maria A Oquendo; M Elizabeth Sublette; Gregory Sullivan; J John Mann; Ramin V Parsey
Journal:  Bipolar Disord       Date:  2014-01-16       Impact factor: 6.744

7.  Registration based cortical thickness measurement.

Authors:  Sandhitsu R Das; Brian B Avants; Murray Grossman; James C Gee
Journal:  Neuroimage       Date:  2008-12-25       Impact factor: 6.556

8.  Risk Factors and Consequences of Cortical Thickness in an Asian Population.

Authors:  Saima Hilal; Xu Xin; Seow Li Ang; Chuen Seng Tan; Narayanaswamy Venketasubramanian; Wiro J Niessen; Henri Vrooman; Tien Yin Wong; Christopher Chen; Mohammad Kamran Ikram
Journal:  Medicine (Baltimore)       Date:  2015-06       Impact factor: 1.889

9.  Age-related changes of lateral ventricular width and periventricular white matter in the human brain: a diffusion tensor imaging study.

Authors:  Yong Hyun Kwon; Sung Ho Jang; Sang Seok Yeo
Journal:  Neural Regen Res       Date:  2014-05-01       Impact factor: 5.135

10.  Age Differences in Prefrontal Surface Area and Thickness in Middle Aged to Older Adults.

Authors:  Vonetta M Dotson; Sarah M Szymkowicz; Christopher N Sozda; Joshua W Kirton; Mackenzie L Green; Andrew O'Shea; Molly E McLaren; Stephen D Anton; Todd M Manini; Adam J Woods
Journal:  Front Aging Neurosci       Date:  2016-01-19       Impact factor: 5.750

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