Literature DB >> 16275022

Application of an automated voxel-based morphometry technique to assess regional gray and white matter brain atrophy in a canine model of aging.

P Dwight Tapp1, Kevin Head, Elizabeth Head, Norton W Milgram, Bruce A Muggenburg, Min-Ying Su.   

Abstract

In recent years, voxel-based morphometry (VBM) has emerged as a technique to examine regional brain changes associated with normal and pathological aging. Despite its popularity in studies of human aging, application of VBM to animal models of brain aging is rare. In the present study, VBM techniques were developed to validate earlier region of interest (ROI) measures of brain aging in the dog and to provide a more comprehensive analysis of local changes in a canine model of brain aging. Consistent with previous findings, frontal lobe atrophy increased with age, most notably in aged male dogs. Age-related gray matter reductions were also observed in parietal and temporal lobes, thalamus, cerebellum, and brainstem. Temporal lobe atrophy was particularly prominent in old females. A number of age-related changes in white matter not previously explored in the dog were also identified with VBM. Specifically, aged males exhibited greater decreases in the internal capsula and cranial nerve bundles compared to decreased volumes in the alveus of the hippocampus in old female dogs. Together, the present results indicate that application of VBM techniques in a canine model of aging yields more comprehensive information regarding topographical patterns of brain aging in male and female dogs than previously reported using traditional manual ROI methods.

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Year:  2005        PMID: 16275022     DOI: 10.1016/j.neuroimage.2005.07.043

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  19 in total

1.  Age-related differences in regional brain volumes: a comparison of optimized voxel-based morphometry to manual volumetry.

Authors:  Kristen M Kennedy; Kirk I Erickson; Karen M Rodrigue; Michelle W Voss; Stan J Colcombe; Arthur F Kramer; James D Acker; Naftali Raz
Journal:  Neurobiol Aging       Date:  2008-02-13       Impact factor: 4.673

2.  Proteomic identification of brain proteins in the canine model of human aging following a long-term treatment with antioxidants and a program of behavioral enrichment: relevance to Alzheimer's disease.

Authors:  Wycliffe O Opii; Gururaj Joshi; Elizabeth Head; N William Milgram; Bruce A Muggenburg; Jon B Klein; William M Pierce; Carl W Cotman; D Allan Butterfield
Journal:  Neurobiol Aging       Date:  2006-10-20       Impact factor: 4.673

3.  Neurobiology of the aging dog.

Authors:  Elizabeth Head
Journal:  Age (Dordr)       Date:  2010-09-16

4.  The canine sand maze: an appetitive spatial memory paradigm sensitive to age-related change in dogs.

Authors:  Hannah E Salvin; Paul D McGreevy; Perminder S Sachdev; Michael J Valenzuela
Journal:  J Exp Anal Behav       Date:  2011-01       Impact factor: 2.468

5.  Tacrolimus Protects against Age-Associated Microstructural Changes in the Beagle Brain.

Authors:  Hamsanandini Radhakrishnan; Margo F Ubele; Stephanie M Krumholz; Kathy Boaz; Jennifer L Mefford; Erin Denhart Jones; Beverly Meacham; Jeffrey Smiley; László G Puskás; David K Powell; Christopher M Norris; Craig E L Stark; Elizabeth Head
Journal:  J Neurosci       Date:  2021-05-05       Impact factor: 6.167

6.  Cholinesterase inhibitors improve both memory and complex learning in aged beagle dogs.

Authors:  Joseph A Araujo; Nigel H Greig; Donald K Ingram; Johan Sandin; Christina de Rivera; Norton W Milgram
Journal:  J Alzheimers Dis       Date:  2011       Impact factor: 4.472

7.  Region specific neuron loss in the aged canine hippocampus is reduced by enrichment.

Authors:  Christina T Siwak-Tapp; Elizabeth Head; Bruce A Muggenburg; Norton W Milgram; Carl W Cotman
Journal:  Neurobiol Aging       Date:  2006-11-07       Impact factor: 4.673

Review 8.  A canine model of human aging and Alzheimer's disease.

Authors:  Elizabeth Head
Journal:  Biochim Biophys Acta       Date:  2013-03-23

9.  Rhesus macaque brain morphometry: a methodological comparison of voxel-wise approaches.

Authors:  Donald G McLaren; Kristopher J Kosmatka; Erik K Kastman; Barbara B Bendlin; Sterling C Johnson
Journal:  Methods       Date:  2009-10-31       Impact factor: 3.608

10.  Computational morphometry for detecting changes in brain structure due to development, aging, learning, disease and evolution.

Authors:  Daniel Mietchen; Christian Gaser
Journal:  Front Neuroinform       Date:  2009-08-11       Impact factor: 4.081

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