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      Hippocampal connectivity in Amyotrophic Lateral Sclerosis (ALS): more than Papez circuit impairment

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          Abstract

          Emerging evidence suggests that memory deficit in amyotrophic lateral sclerosis (ALS), a neurodegenerative disease with varying impairment of motor abilities and cognitive profile, may be independent from executive dysfunction. Our multimodal magnetic resonance imaging (MRI) approach, including resting state functional MRI (RS-fMRI), diffusion tensor imaging (DTI) and voxel-based morphometry (VBM), aimed to investigate structural and functional changes within and beyond the Papez circuit in non-demented ALS patients (n = 32) compared with healthy controls (HCs, n = 21), and whether these changes correlated with neuropsychological measures of verbal and non-verbal memory. We revealed a decreased functional connectivity between bilateral hippocampus, bilateral parahippocampal gyri and cerebellum in ALS patients compared with HCs. Between-group comparisons revealed white matter abnormalities in the genu and body of the corpus callosum and bilateral cortico-spinal tracts, superior longitudinal and uncinate fasciculi in ALS patients (p < .05, family-wise error corrected). Interestingly, changes of Digit Span forward performance were inversely related to RS-fMRI signal fluctuations in the cerebellum, while changes of both episodic and visual memory scores were inversely related to mean and radial diffusivity abnormalities in several WM fiber tracts, including middle cerebellar peduncles. Our findings revealed that ALS patients showed significant functional and structural connectivity changes across the regions comprising the Papez circuit, as well as more extended areas including cerebellum and frontal, temporal and parietal areas, supporting the theory of a multi-system pathology in ALS that spreads from cortical to subcortical structures.

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          The online version of this article (10.1007/s11682-020-00408-1) contains supplementary material, which is available to authorized users.

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          "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

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            An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

            In this study, we have assessed the validity and reliability of an automated labeling system that we have developed for subdividing the human cerebral cortex on magnetic resonance images into gyral based regions of interest (ROIs). Using a dataset of 40 MRI scans we manually identified 34 cortical ROIs in each of the individual hemispheres. This information was then encoded in the form of an atlas that was utilized to automatically label ROIs. To examine the validity, as well as the intra- and inter-rater reliability of the automated system, we used both intraclass correlation coefficients (ICC), and a new method known as mean distance maps, to assess the degree of mismatch between the manual and the automated sets of ROIs. When compared with the manual ROIs, the automated ROIs were highly accurate, with an average ICC of 0.835 across all of the ROIs, and a mean distance error of less than 1 mm. Intra- and inter-rater comparisons yielded little to no difference between the sets of ROIs. These findings suggest that the automated method we have developed for subdividing the human cerebral cortex into standard gyral-based neuroanatomical regions is both anatomically valid and reliable. This method may be useful for both morphometric and functional studies of the cerebral cortex as well as for clinical investigations aimed at tracking the evolution of disease-induced changes over time, including clinical trials in which MRI-based measures are used to examine response to treatment.
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              A RATING SCALE FOR DEPRESSION

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                Author and article information

                Contributors
                francesca.trojsi@unicampania.it
                Journal
                Brain Imaging Behav
                Brain Imaging Behav
                Brain Imaging and Behavior
                Springer US (New York )
                1931-7557
                1931-7565
                23 October 2020
                23 October 2020
                2021
                : 15
                : 4
                : 2126-2138
                Affiliations
                [1 ]GRID grid.9841.4, ISNI 0000 0001 2200 8888, Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, , Università degli Studi della Campania “Luigi Vanvitelli”, ; Naples, Italy
                [2 ]GRID grid.9841.4, ISNI 0000 0001 2200 8888, Department of Psychology, , Università degli Studi della Campania “Luigi Vanvitelli”, ; Caserta, Italy
                [3 ]GRID grid.11780.3f, ISNI 0000 0004 1937 0335, Department of Medicine, Surgery and Dentistry, Scuola Medica Salernitana, , University of Salerno, ; Baronissi, Salerno Italy
                Author information
                http://orcid.org/0000-0002-3790-8018
                Article
                408
                10.1007/s11682-020-00408-1
                8413176
                33095382
                47a31242-7c1e-4df1-94d9-39870423164a
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 2 April 2020
                : 18 August 2020
                : 5 October 2020
                Funding
                Funded by: Università degli Studi della Campania Luigi Vanvitelli
                Categories
                Original Research
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2021

                Radiology & Imaging
                amyotrophic lateral sclerosis,resting state functional mri,diffusion tensor imaging,memory dysfunction,papez circuit

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