Widespread white matter degeneration preceding the onset of dementia

Brain atrophy in subjects with mild cognitive impairment (MCI) introduces partial volume effects, limiting the sensitivity of diffusion tensor imaging to white matter microstructural degeneration. Appropriate correction isolates microstructural effects in MCI that might be precursors of Alzheimer's disease (AD).

[1]  R. Petersen.  Mild cognitive impairment as a diagnostic entity , 2004, Journal of internal medicine.

[2]  Bernd Fischer,et al.  Biomedical Image Registration, 4th International Workshop, WBIR 2010, Lübeck, Germany, July 11-13, 2010. Proceedings , 2010, Workshop on Biomedical Image Registration.

[3]  M. Bozzali,et al.  Assessing Corpus Callosum Changes in Alzheimer's Disease: Comparison between Tract-Based Spatial Statistics and Atlas-Based Tractography , 2012, PloS one.

[4]  Ching-Po Lin,et al.  Multiple diffusivities define white matter degeneration in amnestic mild cognitive impairment and Alzheimer's disease. , 2012, Journal of Alzheimer's disease : JAD.

[5]  Peter Schönknecht,et al.  Prevalence and natural course of aging-associated cognitive decline in a population-based sample of young-old subjects. , 2005, The American journal of psychiatry.

[6]  J. Molinuevo,et al.  Multiple DTI index analysis in normal aging, amnestic MCI and AD. Relationship with neuropsychological performance , 2012, Neurobiology of Aging.

[7]  Emiliano Macaluso,et al.  Grey and white matter changes at different stages of Alzheimer's disease. , 2010, Journal of Alzheimer's disease : JAD.

[8]  Daniel Rueckert,et al.  A Computational White Matter Atlas for Aging with Surface-Based Representation of Fasciculi , 2010, WBIR.

[9]  H. Braak,et al.  Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.

[10]  R Levy,et al.  Aging-associated cognitive decline. Working Party of the International Psychogeriatric Association in collaboration with the World Health Organization. , 1994, International psychogeriatrics.

[11]  Daniel Rueckert,et al.  Unbiased White Matter Atlas Construction Using Diffusion Tensor Images , 2007, MICCAI.

[12]  Charles D. Smith,et al.  Multimodal imaging evidence for axonal and myelin deterioration in amnestic mild cognitive impairment. , 2012, Journal of Alzheimer's disease : JAD.

[13]  Hilkka Soininen,et al.  Diffusion tensor imaging and Tract-Based Spatial Statistics in Alzheimer's disease and mild cognitive impairment , 2011, Neurobiology of Aging.

[14]  Yong He,et al.  Multiple diffusion indices reveals white matter degeneration in Alzheimer's disease and mild cognitive impairment: a tract-based spatial statistics study. , 2011, Journal of Alzheimer's disease : JAD.

[15]  Claus Zimmer,et al.  Selectively and progressively disrupted structural connectivity of functional brain networks in Alzheimer's disease — Revealed by a novel framework to analyze edge distributions of networks detecting disruptions with strong statistical evidence , 2013, NeuroImage.

[16]  A. Saykin,et al.  Selective changes in white matter integrity in MCI and older adults with cognitive complaints. , 2012, Biochimica et Biophysica Acta.

[17]  Michael I. Miller,et al.  Multi-Modal MRI Analysis with Disease-Specific Spatial Filtering: Initial Testing to Predict Mild Cognitive Impairment Patients Who Convert to Alzheimer’s Disease , 2011, Front. Neur..

[18]  Derek K. Jones,et al.  Cingulum Microstructure Predicts Cognitive Control in Older Age and Mild Cognitive Impairment , 2012, The Journal of Neuroscience.

[19]  Mojtaba Zarei,et al.  White matter tract integrity in aging and Alzheimer's disease , 2009, Human brain mapping.

[20]  C. Jack,et al.  Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment , 1999, Neurology.

[21]  R. Lévy,et al.  Aging-Associated Cognitive Decline , 1994, International Psychogeriatrics.

[22]  D. Prvulovic,et al.  Multiple Indices of Diffusion Identifies White Matter Damage in Mild Cognitive Impairment and Alzheimer’s Disease , 2011, PloS one.

[23]  Nick C Fox,et al.  A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging. , 2003, Archives of neurology.

[24]  R. Killiany,et al.  Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease , 2000, Annals of neurology.

[25]  Michael I. Miller,et al.  Fornix integrity and hippocampal volume predict memory decline and progression to Alzheimer’s disease , 2012, Alzheimer's & Dementia.

[26]  Shu-Wei Sun,et al.  Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia , 2003, NeuroImage.

[27]  Y. Assaf,et al.  Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review , 2007, Journal of Molecular Neuroscience.

[28]  Derek K. Jones,et al.  How and how not to correct for CSF-contamination in diffusion MRI , 2012, NeuroImage.

[29]  Vijaya L. Melnick,et al.  Alzheimer’s Dementia , 1985, Contemporary Issues in Biomedicine, Ethics, and Society.

[30]  Paul M. Matthews,et al.  Brain Microstructure Reveals Early Abnormalities more than Two Years prior to Clinical Progression from Mild Cognitive Impairment to Alzheimer's Disease , 2013, The Journal of Neuroscience.

[31]  B Horwitz,et al.  Corpus callosum atrophy is a possible indicator of region- and cell type-specific neuronal degeneration in Alzheimer disease: a magnetic resonance imaging analysis. , 1998, Archives of neurology.

[32]  Matthias J. Müller,et al.  Ultrastructural Hippocampal and White Matter Alterations in Mild Cognitive Impairment: A Diffusion Tensor Imaging Study , 2004, Dementia and Geriatric Cognitive Disorders.

[33]  K. Lovblad,et al.  Individual prediction of cognitive decline in mild cognitive impairment using support vector machine-based analysis of diffusion tensor imaging data. , 2010, Journal of Alzheimer's disease : JAD.

[34]  Daniel Rueckert,et al.  Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data , 2006, NeuroImage.

[35]  Ross Zafonte,et al.  Increased Gray Matter Diffusion Anisotropy in Patients with Persistent Post-Concussive Symptoms following Mild Traumatic Brain Injury , 2013, PloS one.

[36]  Thomas van Bruggen,et al.  Do Alzheimer-specific microstructural changes in mild cognitive impairment predict conversion? , 2012, Psychiatry Research: Neuroimaging.

[37]  N. Schuff,et al.  Magnetic resonance imaging of the entorhinal cortex and hippocampus in mild cognitive impairment and Alzheimer's disease , 2001, Journal of neurology, neurosurgery, and psychiatry.

[38]  J. Morris,et al.  The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.

[39]  Sterling C. Johnson,et al.  Microstructural diffusion changes are independent of macrostructural volume loss in moderate to severe Alzheimer's disease. , 2010, Journal of Alzheimer's disease : JAD.

[40]  Karen Ritchie,et al.  Classification criteria for mild cognitive impairment: A population-based validation study , 2001 .

[41]  A. Hillis,et al.  Biomarkers for Alzheimer's disease: ready for the next step. , 2009, Brain : a journal of neurology.

[42]  Nick C Fox,et al.  The Diagnosis of Mild Cognitive Impairment due to Alzheimer’s Disease: Recommendations from the National Institute on Aging-Alzheimer’s Association Workgroups on Diagnostic Guidelines for Alzheimer’s Disease , 2011 .

[43]  P. Scheltens,et al.  Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria , 2007, The Lancet Neurology.

[44]  C Caltagirone,et al.  When, where, and how the corpus callosum changes in MCI and AD , 2010, Neurology.

[45]  Matthias J. Müller,et al.  Predicting conversion to dementia in mild cognitive impairment by volumetric and diffusivity measurements of the hippocampus , 2006, Psychiatry Research: Neuroimaging.

[46]  Norbert Schuff,et al.  MRI Markers for Mild Cognitive Impairment: Comparisons between White Matter Integrity and Gray Matter Volume Measurements , 2013, PloS one.

[47]  N. Intrator,et al.  Free water elimination and mapping from diffusion MRI , 2009, Magnetic resonance in medicine.

[48]  N. Schuff,et al.  Headache and cerebral venous air embolism , 2007, Neurology.

[49]  Stephen M. Smith,et al.  Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.

[50]  Wanlin Zhu,et al.  White matter integrity in mild cognitive impairment: A tract-based spatial statistics study , 2010, NeuroImage.

[51]  André J. W. van der Kouwe,et al.  The relationship between diffusion tensor imaging and volumetry as measures of white matter properties , 2008, NeuroImage.

[52]  A. Mitchell,et al.  Rate of progression of mild cognitive impairment to dementia – meta‐analysis of 41 robust inception cohort studies , 2009, Acta psychiatrica Scandinavica.

[53]  Derek K. Jones,et al.  Temporal association tracts and the breakdown of episodic memory in mild cognitive impairment , 2012, Neurology.

[54]  Carl-Fredrik Westin,et al.  Excessive Extracellular Volume Reveals a Neurodegenerative Pattern in Schizophrenia Onset , 2012, The Journal of Neuroscience.

[55]  Massimo Filippi,et al.  White matter damage in Alzheimer disease and its relationship to gray matter atrophy. , 2011, Radiology.