Age-Related Gray and White Matter Changes in Normal Adult Brains

Normal aging is associated with both structural changes in many brain regions and functional declines in several cognitive domains with advancing age. Advanced neuroimaging techniques enable explorative analyses of structural alterations that can be used as assessments of such age-related changes. Here we used voxel-based morphometry (VBM) to investigate regional and global brain volume differences among four groups of healthy adults from the IXI Dataset: older females (OF, mean age 68.35 yrs; n=69), older males (OM, 68.43 yrs; n=66), young females (YF, 27.09 yrs; n=71), and young males (YM, 27.91 yrs; n=71), using 3D T1-weighted MRI data. At the global level, we investigated the influence of age and gender on brain volumes using a two-way analysis of variance. With respect to gender, we used the Pearson correlation to investigate global brain volume alterations due to age in the older and young groups. At the regional level, we used a flexible factorial statistical test to compare the means of gray matter (GM) and white matter (WM) volume alterations among the four groups. We observed different patterns in both the global and regional GM and WM alterations in the young and older groups with respect to gender. At the global level, we observed significant influences of age and gender on global brain volumes. At the regional level, the older subjects showed a widespread reduction in GM volume in regions of the frontal, insular, and cingulate cortices compared to the young subjects in both genders. Compared to the young subjects, the older subjects showed a widespread WM decline prominently in the thalamic radiations, in addition to increased WM in pericentral and occipital areas. Knowledge of these observed brain volume differences and changes may contribute to the elucidation of mechanisms underlying aging as well as age-related brain atrophy and disease.

[1]  David H. Salat,et al.  Regional staging of white matter signal abnormalities in aging and Alzheimer's disease , 2017, NeuroImage: Clinical.

[2]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[3]  H. Matsuda Voxel-based Morphometry of Brain MRI in Normal Aging and Alzheimer's Disease. , 2013, Aging and disease.

[4]  H Matsuda,et al.  Automatic Voxel-Based Morphometry of Structural MRI by SPM8 plus Diffeomorphic Anatomic Registration Through Exponentiated Lie Algebra Improves the Diagnosis of Probable Alzheimer Disease , 2012, American Journal of Neuroradiology.

[5]  Peter J. Gianaros,et al.  Higher blood pressure predicts lower regional grey matter volume: Consequences on short-term information processing , 2006, NeuroImage.

[6]  Christian Gaser,et al.  CAT-A Computational Anatomy Toolbox for the Analysis of Structural MRI Data , 2016 .

[7]  Guy B. Williams,et al.  Registration accuracy for VBM studies varies according to region and degenerative disease grouping , 2010, NeuroImage.

[8]  Karl J. Friston,et al.  Why Voxel-Based Morphometry Should Be Used , 2001, NeuroImage.

[9]  M Scazufca,et al.  Brain Structural Variability due to Aging and Gender in Cognitively Healthy Elders: Results from the São Paulo Ageing and Health Study , 2009, American Journal of Neuroradiology.

[10]  Karl J. Friston,et al.  A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.

[11]  Suzanne E. Welcome,et al.  Mapping cortical change across the human life span , 2003, Nature Neuroscience.

[12]  Leanne M Williams,et al.  Preservation of limbic and paralimbic structures in aging , 2005, Human brain mapping.

[13]  Takashi Asada,et al.  Voxel-based morphometry to discriminate early Alzheimer's disease from controls , 2005, Neuroscience Letters.

[14]  John Ashburner,et al.  A fast diffeomorphic image registration algorithm , 2007, NeuroImage.

[15]  A Pfefferbaum,et al.  Neuroradiological characterization of normal adult ageing. , 2007, The British journal of radiology.

[16]  Justin L. Vincent,et al.  Disruption of Large-Scale Brain Systems in Advanced Aging , 2007, Neuron.

[17]  David H. Salat,et al.  Cognition in healthy aging is related to regional white matter integrity, but not cortical thickness , 2010, Neurobiology of Aging.

[18]  Alan C. Evans,et al.  A voxel-based morphometric study to determine individual differences in gray matter density associated with age and cognitive change over time. , 2004, Cerebral cortex.

[19]  S S Furuie,et al.  Relation between medial temporal atrophy and functional brain activity during memory processing in Alzheimer’s disease: a combined MRI and SPECT study , 2002, Journal of neurology, neurosurgery, and psychiatry.

[20]  Claus Wolff-Menzler,et al.  Brain Aging: Models, Methods and Mechanisms, R. David, Riddle (Eds.). CRC Press, Taylor & Francis Group (2007), price: £ 85.00, ISBN: 978-0-8493-3818-2 , 2009 .

[21]  Maria Liguori,et al.  Age‐related disability in multiple sclerosis , 2002, Annals of neurology.

[22]  André J. W. van der Kouwe,et al.  Age-associated alterations in cortical gray and white matter signal intensity and gray to white matter contrast , 2009, NeuroImage.

[23]  Neil Roberts,et al.  Effects of sex and age on regional prefrontal brain volume in two human cohorts , 2007, The European journal of neuroscience.

[24]  Pardeep Kumar,et al.  A metabolic and functional overview of brain aging linked to neurological disorders , 2009, Biogerontology.

[25]  S. Resnick,et al.  Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain , 2003, The Journal of Neuroscience.

[26]  William J Jagust,et al.  Estrogen- and tamoxifen-associated effects on brain structure and function , 2004, NeuroImage.

[27]  F. Schmitt,et al.  Age and gender effects on human brain anatomy: A voxel-based morphometric study in healthy elderly , 2007, Neurobiology of Aging.

[28]  Michael A Yassa,et al.  A quantitative evaluation of cross-participant registration techniques for MRI studies of the medial temporal lobe , 2009, NeuroImage.

[29]  D. Willshaw,et al.  Cerebral Cortex doi:10.1093/cercor/bhr221 Cerebral Cortex Advance Access published September 21, 2011 Similarity-Based Extraction of Individual Networks from Gray Matter MRI Scans , 2022 .

[30]  Stephen M. Smith,et al.  Age-related changes in grey and white matter structure throughout adulthood , 2010, NeuroImage.

[31]  C. Summerfield,et al.  Structural brain changes in Parkinson disease with dementia: a voxel-based morphometry study. , 2005, Archives of neurology.

[32]  Karl J. Friston,et al.  Unified segmentation , 2005, NeuroImage.

[33]  Rameshwar Singh Electrophysiological Ageing of the Brain: Ageing-Related Impairments in Neural and Cognitive Functions , 2017 .

[34]  Karl J. Friston,et al.  Cerebral Asymmetry and the Effects of Sex and Handedness on Brain Structure: A Voxel-Based Morphometric Analysis of 465 Normal Adult Human Brains , 2001, NeuroImage.

[35]  A. Dale,et al.  High consistency of regional cortical thinning in aging across multiple samples. , 2009, Cerebral cortex.

[36]  C. Grady,et al.  Brain–behavior relationships in source memory: Effects of age and memory ability , 2017, Cortex.

[37]  Harsha N. Halahalli,et al.  Relationship of clinical and cognitive variables with brain morphometric abnormalities in Alzheimer's disease: a voxel based morphometric study using 3-tesla MRI. , 2013, Aging and disease.

[38]  Jean-Marc Constans,et al.  Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging , 2009, Neurobiology of Aging.

[39]  D. Le Bihan,et al.  Diffusion tensor imaging: Concepts and applications , 2001, Journal of magnetic resonance imaging : JMRI.

[40]  N. Roberts,et al.  Voxel‐based morphometry of temporal lobe epilepsy: An introduction and review of the literature , 2008, Epilepsia.

[41]  J. Zwanenburg,et al.  Clinical applications of 7 T MRI in the brain. , 2013, European journal of radiology.

[42]  A. Jackowski,et al.  Voxel-based morphometry findings in Alzheimer's disease: neuropsychiatric symptoms and disability correlations – preliminary results , 2011, Clinics.

[43]  Geraldo F. Busatto,et al.  Age-related gray matter volume changes in the brain during non-elderly adulthood , 2011, Neurobiology of Aging.