Regional specificity of MRI contrast parameter changes in normal ageing revealed by voxel-based quantification (VBQ)

Normal ageing is associated with characteristic changes in brain microstructure. Although in vivo neuroimaging captures spatial and temporal patterns of age-related changes of anatomy at the macroscopic scale, our knowledge of the underlying (patho)physiological processes at cellular and molecular levels is still limited. The aim of this study is to explore brain tissue properties in normal ageing using quantitative magnetic resonance imaging (MRI) alongside conventional morphological assessment. Using a whole-brain approach in a cohort of 26 adults, aged 18–85 years, we performed voxel-based morphometric (VBM) analysis and voxel-based quantification (VBQ) of diffusion tensor, magnetization transfer (MT), R1, and R2* relaxation parameters. We found age-related reductions in cortical and subcortical grey matter volume paralleled by changes in fractional anisotropy (FA), mean diffusivity (MD), MT and R2*. The latter were regionally specific depending on their differential sensitivity to microscopic tissue properties. VBQ of white matter revealed distinct anatomical patterns of age-related change in microstructure. Widespread and profound reduction in MT contrasted with local FA decreases paralleled by MD increases. R1 reductions and R2* increases were observed to a smaller extent in overlapping occipito-parietal white matter regions. We interpret our findings, based on current biophysical models, as a fingerprint of age-dependent brain atrophy and underlying microstructural changes in myelin, iron deposits and water. The VBQ approach we present allows for systematic unbiased exploration of the interaction between imaging parameters and extends current methods for detection of neurodegenerative processes in the brain. The demonstrated parameter-specific distribution patterns offer insights into age-related brain structure changes in vivo and provide essential baseline data for studying disease against a background of healthy ageing.

[1]  J. Ghika,et al.  Paleoneurology: neurodegenerative diseases are age-related diseases of specific brain regions recently developed by Homo sapiens. , 2008, Medical hypotheses.

[2]  A. Dale,et al.  Age-related alterations in white matter microstructure measured by diffusion tensor imaging , 2005, Neurobiology of Aging.

[3]  Jim Mintz,et al.  Brain ferritin iron may influence age- and gender-related risks of neurodegeneration , 2007, Neurobiology of Aging.

[4]  P. Thompson,et al.  Computational anatomical methods as applied to ageing and dementia. , 2007, The British journal of radiology.

[5]  N. Gelman,et al.  Interregional variation of longitudinal relaxation rates in human brain at 3.0 T: Relation to estimated iron and water contents , 2001, Magnetic resonance in medicine.

[6]  Moo K. Chung,et al.  A study of diffusion tensor imaging by tissue-specific, smoothing-compensated voxel-based analysis , 2009, NeuroImage.

[7]  Antoni Rodríguez-Fornells,et al.  Age-related water diffusion changes in human brain: A voxel-based approach , 2007, NeuroImage.

[8]  Karl J. Friston,et al.  Classical and Bayesian Inference in Neuroimaging: Applications , 2002, NeuroImage.

[9]  Chun Yuan,et al.  Direct quantitative comparison between cross-relaxation imaging and diffusion tensor imaging of the human brain at 3.0 T , 2009, NeuroImage.

[10]  B. Pakkenberg,et al.  Age-Induced White Matter Changes in the Human Brain: A Stereological Investigation , 1997, Neurobiology of Aging.

[11]  B. Pakkenberg,et al.  Neocortical neuron number in humans: Effect of sex and age , 1997, The Journal of comparative neurology.

[12]  Arthur W. Toga,et al.  Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template , 2008, NeuroImage.

[13]  Gunther Helms,et al.  In vivo quantification of the bound pool T1 in human white matter using the binary spin–bath model of progressive magnetization transfer saturation , 2009, Physics in medicine and biology.

[14]  P. Dechent,et al.  High‐resolution maps of magnetization transfer with inherent correction for RF inhomogeneity and T1 relaxation obtained from 3D FLASH MRI , 2008, Magnetic resonance in medicine.

[15]  Nikolaus Weiskopf,et al.  Unified segmentation based correction of R1 brain maps for RF transmit field inhomogeneities (UNICORT) , 2011, NeuroImage.

[16]  P. Scheltens,et al.  A semiquantative rating scale for the assessment of signal hyperintensities on magnetic resonance imaging , 1993, Journal of the Neurological Sciences.

[17]  P. Dechent Dependence of R2* bias on through-voxel frequency dispersion and gradient echo train in high-resolution 3D R2* mapping , 2009 .

[18]  Aart Spilt,et al.  Age-related changes in normal-appearing brain tissue and white matter hyperintensities: more of the same or something else? , 2005, AJNR. American journal of neuroradiology.

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

[20]  P. Dechent,et al.  Increased SNR and reduced distortions by averaging multiple gradient echo signals in 3D FLASH imaging of the human brain at 3T , 2009, Journal of magnetic resonance imaging : JMRI.

[21]  Tao Lu,et al.  The aging brain. , 2008, Annual review of pathology.

[22]  Jun Tan,et al.  Normal brain aging clinical, immunological, neuropsychological, and neuroimaging features. , 2009, International review of neurobiology.

[23]  Thomas R. Barrick,et al.  White matter structural decline in normal ageing: A prospective longitudinal study using tract-based spatial statistics , 2010, NeuroImage.

[24]  Karl J. Friston,et al.  Conjunction revisited , 2005, NeuroImage.

[25]  Andrew L. Alexander,et al.  Age- and gender-related changes in the normal human brain using hybrid diffusion imaging (HYDI) , 2011, NeuroImage.

[26]  Karen M Rodrigue,et al.  Brain Aging and Its Modifiers , 2007, Annals of the New York Academy of Sciences.

[27]  B. Pakkenberg,et al.  Marked loss of myelinated nerve fibers in the human brain with age , 2003, The Journal of comparative neurology.

[28]  Jun Tan,et al.  Chapter 1 Normal Brain Aging , 2009 .

[29]  A. Dale,et al.  Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. , 2010, Cerebral cortex.

[30]  P. Dechent,et al.  Quantitative FLASH MRI at 3T using a rational approximation of the Ernst equation , 2008, Magnetic resonance in medicine.

[31]  Jean-Baptiste Poline,et al.  Multivariate Model Specification for fMRI Data , 2002, NeuroImage.

[32]  Nick C Fox,et al.  Computer-assisted imaging to assess brain structure in healthy and diseased brains , 2003, The Lancet Neurology.

[33]  Christian Enzinger,et al.  MTI of white matter hyperintensities. , 2005, Brain : a journal of neurology.

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

[35]  David R. Brown Role of Microglia in Age-Related Changes to the Nervous System , 2009, TheScientificWorldJournal.

[36]  Alex J. de Crespigny,et al.  The effects of brain tissue decomposition on diffusion tensor imaging and tractography , 2007, NeuroImage.

[37]  Bente Pakkenberg,et al.  Aging of the human cerebellum: A stereological study , 2003, The Journal of comparative neurology.

[38]  Andrea Cherubini,et al.  Aging of subcortical nuclei: Microstructural, mineralization and atrophy modifications measured in vivo using MRI , 2009, NeuroImage.

[39]  R. Kraft,et al.  Relating imaging indices of white matter integrity and volume in healthy older adults. , 2008, Cerebral cortex.

[40]  G. Bartzokis,et al.  Heterogeneous age-related breakdown of white matter structural integrity: implications for cortical “disconnection” in aging and Alzheimer’s disease , 2004, Neurobiology of Aging.

[41]  A. Dale,et al.  Age‐Related Changes in Prefrontal White Matter Measured by Diffusion Tensor Imaging , 2005, Annals of the New York Academy of Sciences.

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

[43]  Richard S. Frackowiak,et al.  Improved segmentation of deep brain grey matter structures using magnetization transfer (MT) parameter maps , 2009, NeuroImage.

[44]  R Turner,et al.  Optimisation of the 3D MDEFT sequence for anatomical brain imaging: technical implications at 1.5 and 3 T , 2004, NeuroImage.

[45]  M. O’Sullivan,et al.  White matter damage on diffusion tensor imaging correlates with age-related cognitive decline , 2006, Neurology.

[46]  B. Hallgren,et al.  THE EFFECT OF AGE ON THE NON‐HAEMIN IRON IN THE HUMAN BRAIN , 1958, Journal of neurochemistry.

[47]  Carlo Caltagirone,et al.  Characterization of white matter fiber bundles with T  2* relaxometry and diffusion tensor imaging , 2009, Magnetic resonance in medicine.

[48]  Guy Marchal,et al.  Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.

[49]  Jean-François Démonet,et al.  Volume and iron content in basal ganglia and thalamus , 2009, Human brain mapping.

[50]  F. Barkhof,et al.  Histopathologic correlates of white matter changes on MRI in Alzheimer's disease and normal aging , 1995, Neurology.

[51]  M. Bronskill,et al.  Characterizing white matter with magnetization transfer and T2 , 1999, Magnetic resonance in medicine.

[52]  Paul M. Thompson,et al.  Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: Tract-based spatial statistics study of aging , 2007, NeuroImage.

[53]  G. Bartzokis Alzheimer's disease as homeostatic responses to age-related myelin breakdown , 2011, Neurobiology of Aging.

[54]  B. Pakkenberg,et al.  Aging and the human neocortex , 2003, Experimental Gerontology.

[55]  G. B. Pike,et al.  Quantitative imaging of magnetization transfer exchange and relaxation properties in vivo using MRI , 2001, Magnetic resonance in medicine.

[56]  G Helms,et al.  Multi-parameter mapping of the human brain at 1mm resolution in less than 20 minutes , 2008 .

[57]  P. Basser,et al.  Diffusion tensor MR imaging of the human brain. , 1996, Radiology.

[58]  Gareth J. Barker,et al.  Diffusion tensor imaging of post mortem multiple sclerosis brain , 2007, NeuroImage.

[59]  Gen Sobue,et al.  Age-related changes of the myelinated fibers in the human corticospinal tract: a quantitative analysis , 2004, Acta Neuropathologica.

[60]  A. MacKay,et al.  In vivo visualization of myelin water in brain by magnetic resonance , 1994, Magnetic resonance in medicine.

[61]  Jeff H. Duyn,et al.  High-field MRI of brain cortical substructure based on signal phase , 2007, Proceedings of the National Academy of Sciences.

[62]  Karl J. Friston,et al.  Value-dependent selection in the brain: Simulation in a synthetic neural model , 1994, Neuroscience.

[63]  Nikolaus Weiskopf,et al.  A method for improving the performance of gradient systems for diffusion-weighted MRI , 2007, Magnetic resonance in medicine.

[64]  T A Bjarnason,et al.  Characterization of the NMR behavior of white matter in bovine brain , 2005, Magnetic resonance in medicine.

[65]  M. Fukunaga,et al.  Layer-specific variation of iron content in cerebral cortex as a source of MRI contrast , 2010, Proceedings of the National Academy of Sciences.

[66]  Paul S. Tofts,et al.  Quantitative MRI of the brain : measuring changes caused by disease , 2003 .

[67]  P. Dechent,et al.  Optimized high‐resolution mapping of magnetization transfer (MT) at 3 Tesla for direct visualization of substructures of the human thalamus in clinically feasible measurement time , 2009, Journal of magnetic resonance imaging : JMRI.

[68]  Nikolaus Weiskopf,et al.  A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging , 2009, NeuroImage.

[69]  Peter Dechent,et al.  Modeling the influence of TR and excitation flip angle on the magnetization transfer ratio (MTR) in human brain obtained from 3D spoiled gradient echo MRI , 2010, Magnetic resonance in medicine.

[70]  Cheryl L. Dahle,et al.  Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. , 2005, Cerebral cortex.

[71]  C. Palmer,et al.  Cellular distribution of ferritin subunits in postnatal rat brain , 1998, The Journal of comparative neurology.

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

[73]  N. De Stefano,et al.  Longitudinal changes in grey and white matter during adolescence , 2010, NeuroImage.

[74]  Luis Concha,et al.  In Vivo Diffusion Tensor Imaging and Histopathology of the Fimbria-Fornix in Temporal Lobe Epilepsy , 2010, The Journal of Neuroscience.

[75]  Hauke R. Heekeren,et al.  Age-related differences in white matter microstructure: Region-specific patterns of diffusivity , 2010, NeuroImage.

[76]  Arno Villringer,et al.  Dynamic Properties of Human Brain Structure: Learning-Related Changes in Cortical Areas and Associated Fiber Connections , 2010, The Journal of Neuroscience.

[77]  A. Mackay,et al.  In vivo measurement of T2 distributions and water contents in normal human brain , 1997, Magnetic resonance in medicine.

[78]  J. Duyn,et al.  Characterization of T2* heterogeneity in human brain white matter , 2009, Magnetic resonance in medicine.

[79]  A. Peters The effects of normal aging on myelin and nerve fibers: A review , 2002, Journal of neurocytology.

[80]  N. Raz,et al.  Age, Sex and Regional Brain Volumes Predict Perceptual-Motor Skill Acquisition , 2005, Cortex.

[81]  Wang Zhan,et al.  Patterns of age-related water diffusion changes in human brain by concordance and discordance analysis , 2010, Neurobiology of Aging.

[82]  Daniel C. Alexander,et al.  Camino: Open-Source Diffusion-MRI Reconstruction and Processing , 2006 .

[83]  Patrice Péran,et al.  Voxel‐based analysis of R2* maps in the healthy human brain , 2007, Journal of magnetic resonance imaging : JMRI.

[84]  Stefan Skare,et al.  How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging , 2003, NeuroImage.

[85]  Chun Yuan,et al.  Cross-relaxation imaging reveals detailed anatomy of white matter fiber tracts in the human brain , 2004, NeuroImage.

[86]  Mark Jenkinson,et al.  Reducing distortions in diffusion‐weighted echo planar imaging with a dual‐echo blip‐reversed sequence , 2010, Magnetic resonance in medicine.