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      Hippocampal subfield volumetry in mild cognitive impairment, Alzheimer's disease and semantic dementia

      research-article
      a , b , c , d , a , b , c , d , a , b , c , e , a , b , c , d , a , b , c , d , a , b , c , f , a , b , c , d , a , b , c , d , a , b , c , d , *
      NeuroImage : Clinical
      Elsevier
      Aβ, β-amyloid, AD, Alzheimer's disease, aMCI, amnestic Mild Cognitive Impairment, ANOVA, Analysis of variance, AUC, Area Under the receiver operating characteristic Curve, HC, healthy controls, MRI, Magnetic resonance imaging, NFT, neurofibrillary tangles, PET, Positon Emission Tomography, ROC, receiver operating characteristic, SUVr, Standardized Uptake Value ratio, TIV, Total intracranial volume, Hippocampal subfields, CA1, Mild Cognitive Impairment (MCI), Alzheimer's disease, Semantic dementia, Magnetic resonance imaging (MRI)

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          Abstract

          Background

          Hippocampal atrophy is a well-known feature of Alzheimer's disease (AD), but sensitivity and specificity of hippocampal volumetry are limited. Neuropathological studies have shown that hippocampal subfields are differentially vulnerable to AD; hippocampal subfield volumetry may thus prove to be more accurate than global hippocampal volumetry to detect AD.

          Methods

          CA1, subiculum and other subfields were manually delineated from 40 healthy controls, 18 AD, 17 amnestic Mild Cognitive Impairment (aMCI), and 8 semantic dementia (SD) patients using a previously developed high resolution MRI procedure. Non-parametric group comparisons and receiver operating characteristic (ROC) analyses were conducted. Complementary analyses were conducted to evaluate differences of hemispheric asymmetry and anterior-predominance between AD and SD patients and to distinguish aMCI patients with or without β-amyloid deposition as assessed by Florbetapir-TEP.

          Results

          Global hippocampi were atrophied in all three patient groups and volume decreases were maximal in the CA1 subfield (22% loss in aMCI, 27% in both AD and SD; all p < 0.001). In aMCI, CA1 volumetry was more accurate than global hippocampal measurement to distinguish patients from controls (areas under the ROC curve = 0.88 and 0.76, respectively; p = 0.05) and preliminary analyses suggest that it was independent from the presence of β-amyloid deposition. In patients with SD, whereas the degree of CA1 and subiculum atrophy was similar to that found in AD patients, hemispheric and anterior–posterior asymmetry were significantly more marked than in AD with greater involvement of the left and anterior hippocampal subfields.

          Conclusions

          The findings suggest that CA1 measurement is more sensitive than global hippocampal volumetry to detect structural changes at the pre-dementia stage, although the predominance of CA1 atrophy does not appear to be specific to AD pathophysiological processes.

          Highlights

          • Using 3 T MRI, hippocampal subfields were measured in aMCI, AD and SD and controls.

          • CA1 atrophy was found to be predominant in all patient groups.

          • CA1 volume was the best discriminating measure between controls and aMCI patients.

          • AD and SD differed in asymmetry and anterior-predominance, not in subfield atrophy.

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          Most cited references46

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          Linking Abeta and tau in late-onset Alzheimer's disease: a dual pathway hypothesis.

          Alzheimer's disease is characterized by abnormal elevation of Abeta peptide and abnormal hyperphosphorylation of the tau protein. The "amyloid hypothesis," which is based on molecular defects observed in autosomal-dominant early-onset Alzheimer's disease (EOAD), suggests a serial model of causality, whereby elevation of Abeta drives other disease features including tau hyperphosphorylation. Here, we review recent evidence from drug trials, genetic studies, and experimental work in animal models that suggests that an alternative model might exist in late-onset AD (LOAD), the complex and more common form of the disease. Specifically, we hypothesize a "dual pathway" model of causality, whereby Abeta and tau can be linked by separate mechanisms driven by a common upstream driver. This model may account for the results of recent drug trials and, if confirmed, may guide future drug development.
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            Volumetry of hippocampus and amygdala with high-resolution MRI and three-dimensional analysis software: minimizing the discrepancies between laboratories.

            Within the medial temporal lobe, both the hippocampus and amygdala are frequently targeted by researchers and clinicians for volumetric analysis based on magnetic resonance imaging (MRI). However, different data acquisition techniques, analysis software and anatomical boundaries have in the past made it difficult to compare results of MRI studies from different laboratories. In order to reduce these differences, a segmentation protocol was established with 40 healthy normal control subjects recently scanned in our laboratory. Data acquisition was performed with a three-dimensional gradient echo technique, and scans were corrected for non-uniformity and registered into standard stereotaxic space prior to segmentation. Volumetric analysis was performed manually using three-dimensional software that allows simultaneous analysis of sagittal, coronal and horizontal images. Intra- and inter-rater coefficients yielded correlation coefficients comparable with other protocols. The hippocampal volume was larger in the right hemisphere (3324 versus 3208 mm(3)), while no interhemispheric differences for the amygdala (1154 versus 1160 mm(3)) could be observed. Most importantly, results from recent segmentation protocols for hippocampus and amygdala seem to approach each other with regard to mean volumes and interhemispheric differences. This indicates that the advances in scanning technique, volume preparation and segmentation protocols allow a more precise definition of medial temporal lobe structures with MRI, and that results for mean volumes for hippocampus and amygdala from different laboratories will eventually become comparable.
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              Automated segmentation of hippocampal subfields from ultra-high resolution in vivo MRI.

              Recent developments in MRI data acquisition technology are starting to yield images that show anatomical features of the hippocampal formation at an unprecedented level of detail, providing the basis for hippocampal subfield measurement. However, a fundamental bottleneck in MRI studies of the hippocampus at the subfield level is that they currently depend on manual segmentation, a laborious process that severely limits the amount of data that can be analyzed. In this article, we present a computational method for segmenting the hippocampal subfields in ultra-high resolution MRI data in a fully automated fashion. Using Bayesian inference, we use a statistical model of image formation around the hippocampal area to obtain automated segmentations. We validate the proposed technique by comparing its segmentations to corresponding manual delineations in ultra-high resolution MRI scans of 10 individuals, and show that automated volume measurements of the larger subfields correlate well with manual volume estimates. Unlike manual segmentations, our automated technique is fully reproducible, and fast enough to enable routine analysis of the hippocampal subfields in large imaging studies. 2009 Wiley-Liss, Inc.
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                Author and article information

                Contributors
                Journal
                Neuroimage (Amst)
                Neuroimage (Amst)
                NeuroImage : Clinical
                Elsevier
                2213-1582
                14 August 2013
                14 August 2013
                2013
                : 3
                : 155-162
                Affiliations
                [a ]INSERM, U1077, Caen, France
                [b ]Université de Caen Basse-Normandie, UMR-S1077, Caen, France
                [c ]Ecole Pratique des Hautes Etudes, UMR-S1077, Caen, France
                [d ]CHU de Caen, U1077, Caen, France
                [e ]CHU de Caen, Service de Neurologie, Caen, France
                [f ]CHU Pontchaillou, Service de Neurologie, Rennes, France
                Author notes
                [* ]Corresponding author at: Unité U1077, GIP CYCERON, Bd Henri Becquerel — BP 5229, 14074 Caen Cedex, France. Tel.: + 33 231470173; fax: + 33 2 3147 0275. chetelat@ 123456cyceron.fr
                Article
                S2213-1582(13)00107-1
                10.1016/j.nicl.2013.08.007
                3791274
                24179859
                3f787ed1-6a14-4c80-8ef8-63a7eaf67610
                © 2013 The Authors

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

                History
                : 13 June 2013
                : 7 August 2013
                : 7 August 2013
                Categories
                Article

                aβ, β-amyloid,ad, alzheimer's disease,amci, amnestic mild cognitive impairment,anova, analysis of variance,auc, area under the receiver operating characteristic curve,hc, healthy controls,mri, magnetic resonance imaging,nft, neurofibrillary tangles,pet, positon emission tomography,roc, receiver operating characteristic,suvr, standardized uptake value ratio,tiv, total intracranial volume,hippocampal subfields,ca1,mild cognitive impairment (mci),alzheimer's disease,semantic dementia,magnetic resonance imaging (mri)

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