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      Hippocampal and Parahippocampal Gray Matter Structural Integrity Assessed by Multimodal Imaging Is Associated with Episodic Memory in Old Age

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          Abstract

          Maintained structural integrity of hippocampal and cortical gray matter may explain why some older adults show rather preserved episodic memory. However, viable measurement models for estimating individual differences in gray matter structural integrity are lacking; instead, findings rely on fallible single indicators of integrity. Here, we introduce multitrait–multimethod methodology to capture individual differences in gray matter integrity, based on multimodal structural imaging in a large sample of 1522 healthy adults aged 60–88 years from the Berlin Aging Study II, including 333 participants who underwent magnetic resonance imaging. Structural integrity factors expressed the common variance of voxel-based morphometry, mean diffusivity, and magnetization transfer ratio for each of four regions of interest: hippocampus, parahippocampal gyrus, prefrontal cortex, and precuneus. Except for precuneus, the integrity factors correlated with episodic memory. Associations with hippocampal and parahippocampal integrity persisted after controlling for age, sex, and education. Our results support the proposition that episodic memory ability in old age benefits from maintained structural integrity of hippocampus and parahippocampal gyrus. Exploratory follow-up analyses on sex differences showed that this effect is restricted to men. Multimodal factors of structural brain integrity might help to improve our biological understanding of human memory aging.

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          lavaan: AnRPackage for Structural Equation Modeling

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            Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain.

            An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute (MNI) (D. L. Collins et al., 1998, Trans. Med. Imag. 17, 463-468) was performed. The MNI single-subject main sulci were first delineated and further used as landmarks for the 3D definition of 45 anatomical volumes of interest (AVOI) in each hemisphere. This procedure was performed using a dedicated software which allowed a 3D following of the sulci course on the edited brain. Regions of interest were then drawn manually with the same software every 2 mm on the axial slices of the high-resolution MNI single subject. The 90 AVOI were reconstructed and assigned a label. Using this parcellation method, three procedures to perform the automated anatomical labeling of functional studies are proposed: (1) labeling of an extremum defined by a set of coordinates, (2) percentage of voxels belonging to each of the AVOI intersected by a sphere centered by a set of coordinates, and (3) percentage of voxels belonging to each of the AVOI intersected by an activated cluster. An interface with the Statistical Parametric Mapping package (SPM, J. Ashburner and K. J. Friston, 1999, Hum. Brain Mapp. 7, 254-266) is provided as a freeware to researchers of the neuroimaging community. We believe that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain in which deformations are well known. However, this tool does not alleviate the need for more sophisticated labeling strategies based on anatomical or cytoarchitectonic probabilistic maps.
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              FSL.

              FSL (the FMRIB Software Library) is a comprehensive library of analysis tools for functional, structural and diffusion MRI brain imaging data, written mainly by members of the Analysis Group, FMRIB, Oxford. For this NeuroImage special issue on "20 years of fMRI" we have been asked to write about the history, developments and current status of FSL. We also include some descriptions of parts of FSL that are not well covered in the existing literature. We hope that some of this content might be of interest to users of FSL, and also maybe to new research groups considering creating, releasing and supporting new software packages for brain image analysis. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Cereb Cortex
                Cereb Cortex
                cercor
                Cerebral Cortex (New York, NY)
                Oxford University Press
                1047-3211
                1460-2199
                March 2021
                05 November 2020
                05 November 2020
                : 31
                : 3
                : 1464-1477
                Affiliations
                Center for Lifespan Psychology , Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany
                Center for Lifespan Psychology , Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany
                Center for Lifespan Psychology , Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany
                Center for Lifespan Psychology , Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany
                Max Planck UCL Centre for Computational Psychiatry and Ageing Research , Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany
                Department of Psychiatry and Psychotherapy , University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
                Lise Meitner Group for Environmental Neuroscience , Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany
                Center for Lifespan Psychology , Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany
                Max Planck UCL Centre for Computational Psychiatry and Ageing Research , Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany
                Author notes
                Address correspondence to Ylva Köhncke, Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, D-14195 Berlin, Germany. Tel: +49 30 82406 683; Fax: +49 30 82406 571; Email: koehncke@ 123456mpib-berlin.mpg.de .

                Simone Kühn and Andreas M. Brandmaier are Joint last authorship

                Author information
                https://orcid.org/0000-0003-2529-671X
                https://orcid.org/0000-0001-7179-2664
                https://orcid.org/0000-0001-8387-9855
                https://orcid.org/0000-0001-8428-6453
                https://orcid.org/0000-0001-6823-7969
                https://orcid.org/0000-0001-8765-6982
                Article
                bhaa287
                10.1093/cercor/bhaa287
                7869080
                33150357
                2caa6f1e-c403-41e2-a281-c86c894f23b1
                © The Author(s) 2020. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 6 February 2020
                : 29 July 2020
                : 30 August 2020
                Page count
                Pages: 14
                Funding
                Funded by: Lifebrain Consortium;
                Award ID: 732592
                Funded by: German Federal Ministry of Education and Research;
                Award ID: 01GQ1421B
                Funded by: Max Planck Society, DOI 10.13039/501100004189;
                Categories
                Original Article
                AcademicSubjects/MED00310
                AcademicSubjects/MED00385
                AcademicSubjects/SCI01870

                Neurology
                episodic memory,healthy aging,multitrait–multimethod model,structural equation modeling

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