White matter changes with age utilizing quantitative diffusion MRI

Objective: To investigate the relationship between older age and mean cerebral white matter fiber bundle lengths (FBLs) in specific white matter tracts in the brain using quantified diffusion MRI. Methods: Sixty-three healthy adults older than 50 years underwent diffusion tensor imaging. Tractography tracings of cerebral white matter fiber bundles were derived from the diffusion tensor imaging data. Results: Results revealed significantly shorter FBLs in the anterior thalamic radiation for every 1-year increase over the age of 50 years. Conclusions: We investigated the effects of age on FBL in specific white matter tracts in the brains of healthy older individuals utilizing quantified diffusion MRI. The results revealed a significant inverse relationship between age and FBL. Longitudinal studies of FBL across a lifespan are needed to examine the specific changes to the integrity of white matter.

[1]  P. Basser,et al.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. 1996. , 1996, Journal of magnetic resonance.

[2]  M. Dichgans,et al.  Strategic role of frontal white matter tracts in vascular cognitive impairment: a voxel-based lesion-symptom mapping study in CADASIL. , 2011, Brain : a journal of neurology.

[3]  S. Barger,et al.  Cytokines and the aging brain – what we don't know might help us , 2004, Trends in Neurosciences.

[4]  David H. Laidlaw,et al.  Impact of body mass index on neuronal fiber bundle lengths among healthy older adults , 2013, Brain Imaging and Behavior.

[5]  M. Raichle,et al.  Tracking neuronal fiber pathways in the living human brain. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[6]  E. Gordon,et al.  Regional White Matter and Neuropsychological Functioning across the Adult Lifespan , 2006, Biological Psychiatry.

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

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

[9]  Stephen M. Smith,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[10]  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.

[11]  P. Basser,et al.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. , 1996, Journal of magnetic resonance. Series B.

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

[13]  D. Tate,et al.  Quantitative Diffusion Tensor Imaging Tractography Metrics are Associated with Cognitive Performance Among HIV-Infected Patients , 2010, Brain Imaging and Behavior.

[14]  David H. Laidlaw,et al.  Visualizing Diffusion Tensor MR Images Using Streamtubes and Streamsurfaces , 2003, IEEE Trans. Vis. Comput. Graph..

[15]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[16]  S. Wakana,et al.  Fiber tract-based atlas of human white matter anatomy. , 2004, Radiology.

[17]  A. Pfefferbaum,et al.  Increased brain white matter diffusivity in normal adult aging: Relationship to anisotropy and partial voluming , 2003, Magnetic resonance in medicine.

[18]  E. Akbudak,et al.  Encoding of anisotropic diffusion with tetrahedral gradients: A general mathematical diffusion formalism and experimental results , 1996, Magnetic resonance in medicine.

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

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

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

[22]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[23]  K. Hensley,et al.  Oxidative stress in brain aging Implications for therapeutics of neurodegenerative diseases , 2002, Neurobiology of Aging.

[24]  Edith V. Sullivan,et al.  Frontal circuitry degradation marks healthy adult aging: Evidence from diffusion tensor imaging , 2005, NeuroImage.

[25]  Lauren E. Salminen,et al.  Neuronal fiber bundle lengths in healthy adult carriers of the ApoE4 allele: A quantitative tractography DTI study , 2013, Brain Imaging and Behavior.

[26]  Anders M. Dale,et al.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.

[27]  T E Conturo,et al.  Diffusion tensor fiber tracking of human brain connectivity: aquisition methods, reliability analysis and biological results , 2002, NMR in biomedicine.

[28]  David H. Laidlaw,et al.  Quantitative tractography metrics of white matter integrity in diffusion-tensor MRI , 2008, NeuroImage.

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