Jäncke Lutz, Mérillat Susan, Liem Franziskus, Hänggi Jürgen
Division Neuropsychology, Institute of Psychology, University of Zurich, Switzerland; Center for Integrative Human Physiology, University of Zurich, Switzerland; International Normal Aging and Plasticity Imaging Center (INAPIC), University of Zurich, Switzerland; University Research Priority Program (URPP) "Dynamics of Healthy Aging", University of Zurich, Switzerland; Department of Special Education, King Abdulaziz University, Jeddah, Saudi Arabia.
Hum Brain Mapp. 2015 Jan;36(1):150-69. doi: 10.1002/hbm.22619. Epub 2014 Aug 27.
This study was conducted to examine the statistical influence of brain size on cortical, subcortical, and cerebellar compartmental volumes. This brain size influence was especially studied to delineate interactions with Sex and Age. Here, we studied 856 healthy subjects of which 533 are classified as young and 323 as old. Using an automated segmentation procedure cortical (gray and white matter [GM and WM] including the corpus callosum), cerebellar (GM and WM), and subcortical (thalamus, putamen, pallidum, caudatus, hippocampus, amygdala, and accumbens) volumes were measured and subjected to statistical analyses. These analyses revealed that brain size and age exert substantial statistical influences on nearly all compartmental volumes. Analyzing the raw compartmental volumes replicated the frequently reported Sex differences in compartmental volumes with men showing larger volumes. However, when statistically controlling for brain size Sex differences and Sex × Age interactions practically disappear. Thus, brain size is more important than Sex in explaining interindividual differences in compartmental volumes. The influence of brain size is discussed in the context of an allometric scaling of the compartmental volumes.
本研究旨在探讨脑容量对皮质、皮质下和小脑各部分体积的统计学影响。特别研究了这种脑容量影响与性别和年龄的相互作用。在此,我们研究了856名健康受试者,其中533名被归类为年轻人,323名被归类为老年人。使用自动分割程序测量了皮质(包括胼胝体的灰质和白质[GM和WM])、小脑(GM和WM)以及皮质下(丘脑、壳核、苍白球、尾状核、海马体、杏仁核和伏隔核)的体积,并进行了统计分析。这些分析表明,脑容量和年龄对几乎所有部分的体积都有显著的统计学影响。分析原始部分体积重现了经常报道的各部分体积的性别差异,男性的体积更大。然而,在对脑容量进行统计学控制后,性别差异和性别×年龄相互作用实际上消失了。因此,在解释各部分体积的个体差异方面,脑容量比性别更重要。在各部分体积的异速生长缩放背景下讨论了脑容量的影响。