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      Normative hippocampal volumetric measurements using magnetic resonance imaging

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          Abstract

          Background/aim

          A wide variety of neurological and psychiatric disorders have been shown to be closely related to changes in hippocampal volume (HV). It appears that hippocampal volumetry will be an indispensable part of clinical practice for a number of neuropsychiatric disorders in the near future. The aim of this study was to establish a normative data set for HV according to age and sex in the general population.

          Materials and methods

          Hippocampal magnetic resonance imaging scans of 302 healthy volunteers were obtained using a 1.5 T unit with a 20-channel head coil. The hippocampal volumetric assessment was conducted using the volBrain fully automated segmentation algorithm on coronal oblique T1-weighted magnetization prepared rapid gradient-echo (MP-RAGE) images obtained perpendicular to the long axis of the hippocampus. The mean values of HV of groups according to age and sex were calculated. The associations between HV and age and sex were analyzed.

          Results

          The mean HV of the study group was found to be 3.81 ± 0.46 cm3. We found that the mean HV of males (3.94 ± 0.49 cm3) was significantly higher than that of females (3.74 ± 0.42 cm3), and the mean right HV (3.86 ± 0.48 cm3) was significantly higher than that of the left HV (3.78 ± 0.49 cm3) (P = 0.001). Among both females and males, there were statistically significant but poor negative correlations between age and volumetric measurements of both the right and the left hippocampi (P < 0.05).

          Conclusion

          The normative hippocampal volumetric data obtained in this study may be beneficial in clinical applications for many neuropsychiatric diseases, especially for mesial temporal sclerosis and cognitive disorders.

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          Most cited references20

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          Patch-based segmentation using expert priors: application to hippocampus and ventricle segmentation.

          Quantitative magnetic resonance analysis often requires accurate, robust, and reliable automatic extraction of anatomical structures. Recently, template-warping methods incorporating a label fusion strategy have demonstrated high accuracy in segmenting cerebral structures. In this study, we propose a novel patch-based method using expert manual segmentations as priors to achieve this task. Inspired by recent work in image denoising, the proposed nonlocal patch-based label fusion produces accurate and robust segmentation. Validation with two different datasets is presented. In our experiments, the hippocampi of 80 healthy subjects and the lateral ventricles of 80 patients with Alzheimer's disease were segmented. The influence on segmentation accuracy of different parameters such as patch size and number of training subjects was also studied. A comparison with an appearance-based method and a template-based method was also carried out. The highest median kappa index values obtained with the proposed method were 0.884 for hippocampus segmentation and 0.959 for lateral ventricle segmentation. Crown Copyright © 2010. Published by Elsevier Inc. All rights reserved.
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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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              Hippocampal atrophy in first episode depression: a meta-analysis of magnetic resonance imaging studies.

              Reduced hippocampal volume has been consistently observed in major depressive disorder. Hippocampal volume loss is particularly evident in patients with recurrent and chronic depression. However, the reports in first episode depression have been mixed. We performed a random effects meta-analysis to establish whether hippocampal atrophy exists from disease onset. We included magnetic resonance imaging studies of hippocampal volume in patients with first episode major depressive disorder and matched healthy controls. A total of 7 studies met our inclusion and exclusion criteria, representing independent observations in a total sample of 191 patients and 282 healthy controls. The cumulative analysis revealed hippocampal volume loss in patients with first episode depression relative to controls in both the left (standardised mean difference, SMD = -0.41, 95% Confidence Interval: [-0.78;-0.03], z = -2.14, p = 0.0321) and right (SMD = -0.53[-0.98;-0.09], z = -2.38, p = 0.0173) hippocampi. The average volume reduction was -4.0% in the left and -4.5% in the right hippocampus. Hippocampal volume loss in first episode depression is consistent with a neurodevelopmental model of depression, advocating hippocampal structure as a potential diagnostic neurobiomarker for depression. Copyright © 2011 Elsevier B.V. All rights reserved.
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                Author and article information

                Journal
                Turk J Med Sci
                Turk J Med Sci
                Turkish Journal of Medical Sciences
                The Scientific and Technological Research Council of Turkey
                1300-0144
                1303-6165
                2019
                24 October 2019
                : 49
                : 5
                : 1464-1470
                Affiliations
                [1 ] Department of Radiology, Dışkapı Yıldırım Beyazıt Health Application and Research Center, Medical Sciences University, Ankara, Turkey
                [2 ] Department of Anatomy, Faculty of Dentistry, Yıldırım Beyazıt University, Ankara, Turkey
                Author notes
                * To whom correspondence should be addressed. E-mail: meltemkaan99@ 123456gmail.com

                CONFLICT OF INTEREST:

                none declared

                Author information
                https://orcid.org/0000-0002-7388-2871
                https://orcid.org/0000-0001-7550-6362
                https://orcid.org/0000-0001-8904-1412
                https://orcid.org/0000-0002-8057-9109
                Article
                10.3906/sag-1903-233
                7018315
                31651114
                b91f7824-2b14-4637-acc1-5f26884380ec
                Copyright © 2019 The Author(s)

                This article is distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.

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                Categories
                Article

                hippocampal volume,normative data,epilepsy,dementia
                hippocampal volume, normative data, epilepsy, dementia

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