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      Associations between White Matter Hyperintensities and β Amyloid on Integrity of Projection, Association, and Limbic Fiber Tracts Measured with Diffusion Tensor MRI

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          Abstract

          The goal of this study was to assess the relationship between Aβ deposition and white matter pathology (i.e., white matter hyperintensities, WMH) on microstructural integrity of the white matter. Fifty-seven participants (mean age: 78±7 years) from an ongoing multi-site research program who spanned the spectrum of normal to mild cognitive impairment (Clinical dementia rating 0–0.5) and low to high risk factors for arteriosclerosis and WMH pathology (defined as WMH volume >0.5% total intracranial volume) were assessed with positron emission tomography (PET) with Pittsburg compound B (PiB) and magnetic resonance and diffusion tensor imaging (DTI). Multivariate analysis of covariance were used to investigate the relationship between Aβ deposition and WMH pathology on fractional anisotropy (FA) from 9 tracts of interest (i.e., corona radiata, internal capsule, cingulum, parahippocampal white matter, corpus callosum, superior longitudinal, superior and inferior front-occipital fasciculi, and fornix). WMH pathology was associated with reduced FA in projection (i.e., internal capsule and corona radiate) and association (i.e., superior longitudinal, superior and inferior fronto-occipital fasciculi) fiber tracts. Aβ deposition (i.e., PiB positivity) was associated with reduced FA in the fornix and splenium of the corpus callosum. There were interactions between PiB and WMH pathology in the internal capsule and parahippocampal white matter, where Aβ deposition reduced FA more among subjects with WMH pathology than those without. However, accounting for apoE ε4 genotype rendered these interactions insignificant. Although this finding suggests that apoE4 may increase amyloid deposition, both in the parenchyma (resulting in PiB positivity) and in blood vessels (resulting in amyloid angiopathy and WMH pathology), and that these two factors together may be associated with compromised white matter microstructural integrity in multiple brain regions, additional studies with a longitudinal design will be necessary to resolve this issue.

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          Most cited references42

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          Estimation of the effective self-diffusion tensor from the NMR spin echo.

          The diagonal and off-diagonal elements of the effective self-diffusion tensor, Deff, are related to the echo intensity in an NMR spin-echo experiment. This relationship is used to design experiments from which Deff is estimated. This estimate is validated using isotropic and anisotropic media, i.e., water and skeletal muscle. It is shown that significant errors are made in diffusion NMR spectroscopy and imaging of anisotropic skeletal muscle when off-diagonal elements of Deff are ignored, most notably the loss of information needed to determine fiber orientation. Estimation of Deff provides the theoretical basis for a new MRI modality, diffusion tensor imaging, which provides information about tissue microstructure and its physiologic state not contained in scalar quantities such as T1, T2, proton density, or the scalar apparent diffusion constant.
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            Human brain white matter atlas: identification and assignment of common anatomical structures in superficial white matter.

            Structural delineation and assignment are the fundamental steps in understanding the anatomy of the human brain. The white matter has been structurally defined in the past only at its core regions (deep white matter). However, the most peripheral white matter areas, which are interleaved between the cortex and the deep white matter, have lacked clear anatomical definitions and parcellations. We used axonal fiber alignment information from diffusion tensor imaging (DTI) to delineate the peripheral white matter, and investigated its relationship with the cortex and the deep white matter. Using DTI data from 81 healthy subjects, we identified nine common, blade-like anatomical regions, which were further parcellated into 21 subregions based on the cortical anatomy. Four short association fiber tracts connecting adjacent gyri (U-fibers) were also identified reproducibly among the healthy population. We anticipate that this atlas will be useful resource for atlas-based white matter anatomical studies.
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              Pathological correlates of late-onset dementia in a multicentre, community-based population in England and Wales. Neuropathology Group of the Medical Research Council Cognitive Function and Ageing Study (MRC CFAS).

              (2001)
              We have undertaken a large unselected, community-based neuropathology study in an elderly (70-103 years) UK population in relation to prospectively evaluated dementia status. The study tests the assumption that dementing disorders as defined by current diagnostic protocols underlie this syndrome in the community at large. Respondents in the Medical Research Council Cognitive Function and Ageing Study were approached for consent to examine the brain at necropsy. Dementia status was assigned by use of the automated geriatric examination for computer-assisted taxonomy algorithm. Neuropathological features were standardised by use of the protocol of the Consortium to Establish a Registry of Alzheimer's Disease, which assesses the severity and distribution of Alzheimer-type pathology, vascular lesions, and other potential causes of dementia. A statistical model of dementia risk related predominantly to Alzheimer-type and vascular pathology was developed by multivariate logistic regression. We report on the first 209 individuals who have come to necropsy. The median age at death was 85 years for men, and 86 years for women. Cerebrovascular (78%) and Alzheimer-type (70%) pathology were common. Dementia was present in 100 (48%), of whom 64% had features indicating probable or definite Alzheimer's disease. However, 33% of the 109 non-demented people had equivalent densities of neocortical neuritic plaques. Some degree of neocortical neurofibrillary pathology was found in 61% of demented and 34% of non-demented individuals. Vascular lesions were equally common in both groups, although the proportion with multiple vascular pathology was higher in the demented group (46% vs 33%). Alzheimer-type and vascular pathology were the major pathological correlates of cognitive decline in this elderly sample, as expected, but most patients had mixed disease. There were no clear thresholds of these features that predicted dementia status. The findings therefore challenge conventional dementia diagnostic criteria in this setting. Additional factors must determine whether moderate burdens of cerebral Alzheimer-type pathology and vascular lesions are associated with cognitive failure.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                6 June 2013
                : 8
                : 6
                : e65175
                Affiliations
                [1 ]Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, United States of America
                [2 ]Center for Imaging of Neurodegenerative Diseases, Veterans Affairs Medical Center, San Francisco, San Francisco, California, United States of America
                [3 ]Department of Neurology, University of California Davis, Davis, California, United States of America
                [4 ]Helen Wills Neuroscience Institute, University of California, Berkeley, California, United States of America
                [5 ]School of Public Health, University of California, Berkeley, California, United States of America
                [6 ]Department of Neurology, University of Southern California, Los Angeles, California, United States of America
                [7 ]Department of Preventive Medicine, University of Southern California, Los Angeles, California, United States of America
                University of Manchester, United Kingdom
                Author notes

                Competing Interests: LC is a PLOS ONE Editorial Board member. This does not alter the authors’ adherence to all the PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: WJ CD HC MW. Performed the experiments: SK JL DT. Analyzed the data: LC SK DT JL YZ SV NS. Wrote the paper: LC CD MW SV HC WJM.

                Article
                PONE-D-13-08547
                10.1371/journal.pone.0065175
                3675157
                23762308
                5a526d36-dd66-448a-a281-7c10deb5f352
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 February 2013
                : 23 April 2013
                Page count
                Pages: 8
                Funding
                This work was supported by National Institutes of Health (NIH)/National Institute on Aging (NIA) PO1 AG012435, NIH/NIA P30AG010129 and the NIH/National Center for Research Resources P41RR023953, which were administered by the Northern California Institute for Research and Education, and with resources of the Veterans Affairs Medical Center, San Francisco, California. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Genetics
                Genetics of Disease
                Neuroscience
                Neuroimaging
                Medicine
                Cardiovascular
                Diagnostic Medicine
                Pathology
                Anatomical Pathology
                Neuropathology
                Neurology
                Neuroimaging
                Radiology
                Diagnostic Radiology
                Magnetic Resonance Imaging
                Nuclear Medicine
                PET imaging

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                Uncategorized

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