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      Neurofilament light chain is increased in the parahippocampal cortex and associates with pathological hallmarks in Parkinson’s disease dementia

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          Abstract

          Background

          Increased neurofilament levels in biofluids are commonly used as a proxy for neurodegeneration in several neurodegenerative disorders. In this study, we aimed to investigate the distribution of neurofilaments in the cerebral cortex of Parkinson’s disease (PD), PD with dementia (PDD) and dementia with Lewy bodies (DLB) donors, and its association with pathology load and MRI measures of atrophy and diffusivity.

          Methods

          Using a within-subject post-mortem MRI-pathology approach, we included 9 PD, 12 PDD/DLB and 18 age-matched control donors. Cortical thickness and mean diffusivity (MD) metrics were extracted respectively from 3DT1 and DTI at 3T in-situ MRI. After autopsy, pathological hallmarks (pSer129-αSyn, p-tau and amyloid-β load) together with neurofilament light-chain (NfL) and phosphorylated-neurofilament medium- and heavy-chain (p-NfM/H) immunoreactivity were quantified in seven cortical regions, and studied in detail with confocal-laser scanning microscopy. The correlations between MRI and pathological measures were studied using linear mixed models.

          Results

          Compared to controls, p-NfM/H immunoreactivity was increased in all cortical regions in PD and PDD/DLB, whereas NfL immunoreactivity was increased in the parahippocampal and entorhinal cortex in PDD/DLB. NfL-positive neurons showed degenerative morphological features and axonal fragmentation. The increased p-NfM/H correlated with p-tau load, and NfL correlated with pSer129-αSyn but more strongly with p-tau load in PDD/DLB. Lastly, neurofilament immunoreactivity correlated with cortical thinning in PD and with increased cortical MD in PDD/DLB.

          Conclusions

          Taken together, increased neurofilament immunoreactivity suggests underlying axonal injury and neurofilament accumulation in morphologically altered neurons with increased pathological burden. Importantly, we demonstrate that such neurofilament markers at least partly explain MRI measures that are associated with the neurodegenerative process.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40035-022-00328-8.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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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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              QuPath: Open source software for digital pathology image analysis

              QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPath’s flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research.
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                Author and article information

                Contributors
                i.frigerio@amsterdamumc.nl
                Journal
                Transl Neurodegener
                Transl Neurodegener
                Translational Neurodegeneration
                BioMed Central (London )
                2047-9158
                20 January 2023
                20 January 2023
                2023
                : 12
                : 3
                Affiliations
                [1 ]GRID grid.12380.38, ISNI 0000 0004 1754 9227, Section Clinical Neuroanatomy and Biobanking, Department of Anatomy and Neurosciences, , Amsterdam UMC Location Vrije Universiteit Amsterdam, ; De Boelelaan 1118, Amsterdam, The Netherlands
                [2 ]GRID grid.484519.5, Amsterdam Neuroscience, Neurodegeneration, ; Amsterdam, The Netherlands
                [3 ]GRID grid.484519.5, Amsterdam Neuroscience, Brain Imaging, ; Amsterdam, The Netherlands
                [4 ]GRID grid.12380.38, ISNI 0000 0004 1754 9227, Department of Neurology, , Amsterdam UMC Location Vrije Universiteit Amsterdam, ; De Boelelaan 1117, Amsterdam, The Netherlands
                [5 ]GRID grid.12380.38, ISNI 0000 0004 1754 9227, Department of Pathology, , Amsterdam UMC Location Vrije Universiteit Amsterdam, ; De Boelelaan 1117, Amsterdam, The Netherlands
                [6 ]GRID grid.12380.38, ISNI 0000 0004 1754 9227, Department of Radiology and Nuclear Medicine, , Amsterdam UMC Location Vrije Universiteit Amsterdam, ; De Boelelaan 1117, Amsterdam, The Netherlands
                [7 ]GRID grid.83440.3b, ISNI 0000000121901201, Institutes of Neurology and Healthcare Engineering, , University College London, ; London, UK
                Author information
                http://orcid.org/0000-0003-1780-2862
                Article
                328
                10.1186/s40035-022-00328-8
                9854202
                36658627
                37578b06-9f8a-42cb-8629-04032e9255e4
                © The Author(s) 2023

                Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 13 September 2022
                : 17 November 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000864, Michael J. Fox Foundation for Parkinson's Research;
                Award ID: 17253
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100008383, Stichting ParkinsonFonds;
                Award ID: 1881
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                Neurosciences
                neurofilament,nfl,axonal degeneration,parkinson’s disease,parkinson’s disease dementia,dementia with lewy bodies,cortical thickness,cortical atrophy,mean diffusivity

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