Abstract

Introduction: Novel post-processing methods allow not only for assessment of brain volumetry or cortical thickness based on magnetic resonance imaging (MRI) but also for more detailed analysis of cortical shape and complexity using parameters such as sulcal depth, gyrification index, or fractal dimension. The aim of this study was to analyze changes in brain volumetry and other cortical indices during aging in men and women.Material and Methods: Material consisted of 697 healthy volunteers (aged 38–80 years; M/F, 264/443) who underwent brain MRI using a 1.5-T scanner. Voxel-based volumetry of total gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) was performed followed by assessment of cortical parameters [cortical thickness (CT), sulcal depth (SD), gyrification index (GI), and fractal dimension (FD)] in 150 atlas locations using surface-based morphometry with a region-based approach. All parameters were compared among seven age groups (grouped every 5 years) separately for men and women. Additionally, percentile curves for men and women were provided for total volumes of GM, WM, and CSF.Results: In men and women, a decrease in GM and WM volumes and an increase in CSF volume seem to progress slowly since the age of 45. In men, significant GM and WM loss as well as CSF increase start above 55 years of age, while in women, significant GM loss starts above 50 and significant WM loss as well as CSF increase above 60. CT was found to significantly decrease with aging in 39% of locations in women and in 36% of locations in men, SD was found to increase in 13.5% of locations in women and in 1.3% of locations in men, GI was decreased in 3.4% of locations in women and in 2.0% of locations in men, and FD was changed in 2.7% of locations in women compared to 2.0% in men.Conclusions: Male and female brains start aging at the similar age of 45. Compared to men, in women, the cortex is affected earlier and in the more complex pattern regarding not only cortical loss but also other alterations within the cortical shape, with relatively longer sparing of WM volume.

Highlights

  • Novel post-processing methods allow for assessment of brain volumetry or cortical thickness based on magnetic resonance imaging (MRI) and for more detailed analysis of cortical shape and complexity using parameters such as sulcal depth, gyrification index, or fractal dimension

  • T2-weighted and fluid-attenuated inversion recovery (FLAIR) images were evaluated for signs of severe cerebral small vessel disease and subjects with high volumes of white matter hyperintensities (WMHs) graded with Fazekas score 2–3; lacunar infarcts or microbleeds were excluded from the study

  • The mean volumes of total gray matter (GM), total WM, and total cerebrospinal fluid (CSF) were significantly lower in women compared to men (Tables 2–4, Figure 1)

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Summary

Introduction

Novel post-processing methods allow for assessment of brain volumetry or cortical thickness based on magnetic resonance imaging (MRI) and for more detailed analysis of cortical shape and complexity using parameters such as sulcal depth, gyrification index, or fractal dimension. The most commonly applied methods are region-based volumetry (RBM) or voxel-based morphometry (VBM) [1] They are widely used to get insight into processes of both physiological and pathological aging. Novel methods of post-processing of structural MR data allow for assessment of the volume of brain structures and cortical thickness (CT) or even for more detailed analysis of the cortex shape and complexity including parameters such as sulcal depth (SD), gyrification index (GI), or fractal dimension (FD). Being a relatively new concept of analyzing brain complexity, FD has been reported only in few studies to be reduced in the course of aging process without a linear correlation with the results of CT or GI [17, 18]

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