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      Hippocampal sulcal cavities: prevalence, risk factors and association with cognitive performance. The SMART-Medea study and PREDICT-MR study

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          Abstract

          Hippocampal sulcal cavities (HSCs) are frequently observed on MRI, but their etiology and relevance is unclear. HSCs may be anatomical variations, or result from pathology. We assessed the presence of HSCs, and their cross-sectional association with demographics, vascular risk factors and cognitive functioning in two study samples. Within a random sample of 92 patients with vascular disease from the SMART-Medea study (mean age = 62, SD = 9 years) and 83 primary care patients from the PREDICT-MR study (mean age = 62, SD = 12 years) one rater manually scored HSCs at 1.5 T 3D T1-weighted coronal images blind to patient information. We estimated relative risks of age, sex and vascular risk factors with presence of HSCs using Poisson regression with log-link function and robust standard errors adjusted for age and sex. Using ANCOVA adjusted for age, sex, and education we estimated the association of the number of HSCs with memory, executive functioning, speed, and working memory. In the SMART-Medea study HSCs were present in 65% and in 52% in the PREDICT-MR study (χ 2 = 2.99, df = 1, p = 0.08). In both samples, no significant associations were observed between presence of HSCs and age (SMART-Medea: RR = 1.00; 95%CI 0.98–1.01; PREDICT-MR: RR = 1.01; 95%CI 0.99–1.03), sex, or vascular risk factors. Also, no associations between HSCs and cognitive functioning were found in either sample. HSCs are frequently observed on 1.5 T MRI. Our findings suggest that, in patients with a history of vascular disease and primary care attendees, HSCs are part of normal anatomic variation of the human hippocampus rather than markers of pathology.

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          The online version of this article (10.1007/s11682-018-9916-y) contains supplementary material, which is available to authorized users.

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          Overestimation of risk ratios by odds ratios in trials and cohort studies: alternatives to logistic regression.

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            Medical image analysis.

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              The structure of normal human attention: The Test of Everyday Attention.

              A range of tests of everyday attention is described, based on ecologically plausible activities such as searching maps, looking through telephone directories, and listening to lottery number broadcasts. An age-, sex- and IQ-stratified sample of 154 normal participants was given these tests, along with a number of existing tests of attention. The factor structure revealed by this data set matched well contemporary evidence for a set of functionally independent attentional circuits in the brain, and included factors for sustained attention, selective attention, attentional switching and auditory-verbal working memory. The Test of Everyday Attention (TEA), which was developed and standardized on the basis of these subtests, has three parallel forms, high test-retest reliability, and correlates significantly with existing measures of attention. Furthermore, selected subtests successfully discriminate among a number of brain-impaired groups, including closed head injury versus age-matched controls, minimal versus mild Alzheimer's disease, and progressive supranuclear palsy patients versus age-matched controls.
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                Author and article information

                Contributors
                +31887568181 , m.geerlings@umcutrecht.nl
                Journal
                Brain Imaging Behav
                Brain Imaging Behav
                Brain Imaging and Behavior
                Springer US (New York )
                1931-7557
                1931-7565
                6 July 2018
                6 July 2018
                2019
                : 13
                : 4
                : 1093-1102
                Affiliations
                [1 ]ISNI 0000000090126352, GRID grid.7692.a, Julius Center for Health Sciences and Primary Care, , University Medical Center Utrecht, ; Stratenum 6.131, P.O. Box 85500, 3508 GA Utrecht, the Netherlands
                [2 ]ISNI 0000000090126352, GRID grid.7692.a, Department of Geriatrics, , University Medical Center Utrecht, ; Utrecht, the Netherlands
                [3 ]ISNI 0000000090126352, GRID grid.7692.a, Department of Radiology, , University Medical Center Utrecht, ; Utrecht, the Netherlands
                [4 ]ISNI 0000 0004 1936 8972, GRID grid.25879.31, Penn Image Computing and Science Laboratory, Department of Radiology, , University of Pennsylvania, ; Philadelphia, PA USA
                [5 ]ISNI 0000000090126352, GRID grid.7692.a, Department of Neurology, , University Medical Center Utrecht, ; Utrecht, the Netherlands
                Article
                9916
                10.1007/s11682-018-9916-y
                6647498
                29981017
                f1778679-4498-4513-a104-fb95967fa7d4
                © The Author(s) 2018

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100008398, Internationale Stichting Alzheimer Onderzoek;
                Award ID: 12504
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100003246, Nederlandse Organisatie voor Wetenschappelijk Onderzoek;
                Award ID: 904-65-095
                Categories
                Original Research
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2019

                Radiology & Imaging
                hippocampus,(dilated) perivascular spaces,cognition,magnetic resonance imaging

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