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      Staging of progressive supranuclear palsy-Richardson syndrome using MRI brain charts for the human lifespan

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          Abstract

          Brain charts for the human lifespan have been recently proposed to build dynamic models of brain anatomy in normal aging and various neurological conditions. They offer new possibilities to quantify neuroanatomical changes from preclinical stages to death, where longitudinal MRI data are not available. In this study, we used brain charts to model the progression of brain atrophy in progressive supranuclear palsy—Richardson syndrome. We combined multiple datasets ( n = 8170 quality controlled MRI of healthy subjects from 22 cohorts covering the entire lifespan, and n = 62 MRI of progressive supranuclear palsy—Richardson syndrome patients from the Four Repeat Tauopathy Neuroimaging Initiative (4RTNI)) to extrapolate lifetime volumetric models of healthy and progressive supranuclear palsy—Richardson syndrome brain structures. We then mapped in time and space the sequential divergence between healthy and progressive supranuclear palsy—Richardson syndrome charts. We found six major consecutive stages of atrophy progression: (i) ventral diencephalon (including subthalamic nuclei, substantia nigra, and red nuclei), (ii) pallidum, (iii) brainstem, striatum and amygdala, (iv) thalamus, (v) frontal lobe, and (vi) occipital lobe. The three structures with the most severe atrophy over time were the thalamus, followed by the pallidum and the brainstem. These results match the neuropathological staging of tauopathy progression in progressive supranuclear palsy—Richardson syndrome, where the pathology is supposed to start in the pallido-nigro-luysian system and spreads rostrally via the striatum and the amygdala to the cerebral cortex, and caudally to the brainstem. This study supports the use of brain charts for the human lifespan to study the progression of neurodegenerative diseases, especially in the absence of specific biomarkers as in PSP.

          Abstract

          Planche et al. combined multiple MRI datasets to extrapolate lifetime volumetric models for brain structures in healthy aging and progressive supranuclear palsy—Richardson syndrome. They proposed a descriptive MRI staging scheme for progressive supranuclear palsy—Richardson syndrome, comprising six major consecutive stages of atrophy progression that closely align with the neuropathological staging of tauopathy progression.

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          Most cited references41

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          N4ITK: improved N3 bias correction.

          A variant of the popular nonparametric nonuniform intensity normalization (N3) algorithm is proposed for bias field correction. Given the superb performance of N3 and its public availability, it has been the subject of several evaluation studies. These studies have demonstrated the importance of certain parameters associated with the B-spline least-squares fitting. We propose the substitution of a recently developed fast and robust B-spline approximation routine and a modified hierarchical optimization scheme for improved bias field correction over the original N3 algorithm. Similar to the N3 algorithm, we also make the source code, testing, and technical documentation of our contribution, which we denote as "N4ITK," available to the public through the Insight Toolkit of the National Institutes of Health. Performance assessment is demonstrated using simulated data from the publicly available Brainweb database, hyperpolarized (3)He lung image data, and 9.4T postmortem hippocampus data.
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            A reproducible evaluation of ANTs similarity metric performance in brain image registration.

            The United States National Institutes of Health (NIH) commit significant support to open-source data and software resources in order to foment reproducibility in the biomedical imaging sciences. Here, we report and evaluate a recent product of this commitment: Advanced Neuroimaging Tools (ANTs), which is approaching its 2.0 release. The ANTs open source software library consists of a suite of state-of-the-art image registration, segmentation and template building tools for quantitative morphometric analysis. In this work, we use ANTs to quantify, for the first time, the impact of similarity metrics on the affine and deformable components of a template-based normalization study. We detail the ANTs implementation of three similarity metrics: squared intensity difference, a new and faster cross-correlation, and voxel-wise mutual information. We then use two-fold cross-validation to compare their performance on openly available, manually labeled, T1-weighted MRI brain image data of 40 subjects (UCLA's LPBA40 dataset). We report evaluation results on cortical and whole brain labels for both the affine and deformable components of the registration. Results indicate that the best ANTs methods are competitive with existing brain extraction results (Jaccard=0.958) and cortical labeling approaches. Mutual information affine mapping combined with cross-correlation diffeomorphic mapping gave the best cortical labeling results (Jaccard=0.669±0.022). Furthermore, our two-fold cross-validation allows us to quantify the similarity of templates derived from different subgroups. Our open code, data and evaluation scripts set performance benchmark parameters for this state-of-the-art toolkit. This is the first study to use a consistent transformation framework to provide a reproducible evaluation of the isolated effect of the similarity metric on optimal template construction and brain labeling. Copyright © 2010 Elsevier Inc. All rights reserved.
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              Clinical diagnosis of progressive supranuclear palsy: The movement disorder society criteria.

              PSP is a neuropathologically defined disease entity. Clinical diagnostic criteria, published in 1996 by the National Institute of Neurological Disorders and Stroke/Society for PSP, have excellent specificity, but their sensitivity is limited for variant PSP syndromes with presentations other than Richardson's syndrome.
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                Author and article information

                Contributors
                Journal
                Brain Commun
                Brain Commun
                braincomms
                Brain Communications
                Oxford University Press (US )
                2632-1297
                2024
                20 February 2024
                20 February 2024
                : 6
                : 2
                : fcae055
                Affiliations
                [1 ] Institut des Maladies Neurodégénératives, Univ. Bordeaux, CNRS, UMR 5293 , F-33000 Bordeaux, France
                Centre Mémoire Ressources Recherches, Service de Neurologie des Maladies Neurodégénératives, Pôle de Neurosciences Cliniques, CHU de Bordeaux , F-33000 Bordeaux, France
                CNRS, Univ. Bordeaux, Bordeaux INP, Laboratoire Bordelais de Recherche en Informatique (LABRI), UMR5800 , F-33400 Talence, France
                Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera s/n , 46022, Valencia, Spain
                [1 ] Institut des Maladies Neurodégénératives, Univ. Bordeaux, CNRS, UMR 5293 , F-33000 Bordeaux, France
                Service de Neurologie des Maladies Neurodégénératives, Réseau NS-Park/FCRIN, CHU Bordeaux , F-33000, Bordeaux, France
                Department of Medicine, Christchurch, and New Zealand Brain Research Institute , Christchurch, 8011, New Zealand
                Inserm U1215—Neurocentre Magendie , Bordeaux F-33000, France
                Service de Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux , F-33000 Bordeaux, France
                CNRS, Univ. Bordeaux, Bordeaux INP, Laboratoire Bordelais de Recherche en Informatique (LABRI), UMR5800 , F-33400 Talence, France
                Author notes
                Correspondence to: Vincent Planche, MD, PhD Institut des Maladies Neurodégénératives UMR CNRS 5293, Centre Broca Nouvelle-Aquitaine 146 rue Léo Saignat 33076 Bordeaux cedex, France E-mail: vincent.planche@ 123456u-bordeaux.fr
                Author information
                https://orcid.org/0000-0003-3713-227X
                https://orcid.org/0000-0002-9190-4819
                https://orcid.org/0000-0002-7151-6325
                Article
                fcae055
                10.1093/braincomms/fcae055
                10914441
                38444913
                396944e1-cecd-43fa-9294-de8ded5d3887
                © The Author(s) 2024. Published by Oxford University Press on behalf of the Guarantors of Brain.

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

                History
                : 13 November 2023
                : 22 December 2023
                : 19 February 2024
                : 05 March 2024
                Page count
                Pages: 10
                Funding
                Funded by: French National Research Agency, DOI 10.13039/501100001665;
                Award ID: ANR-18-CE45-0013
                Funded by: d'EXcellence Bordeaux;
                Award ID: ANR-10-IDEX-03-02
                Funded by: French Ministry of Education and Research, DOI 10.13039/501100004562;
                Funded by: Centre National de la Rechercghe Scientifique, DOI 10.13039/501100004794;
                Award ID: PID2020-118608RB-I00
                Funded by: Spanish Ministerio de Ciencia e innovación, DOI 10.13039/501100004837;
                Categories
                Original Article
                AcademicSubjects/MED00310
                AcademicSubjects/SCI01870

                progressive supranuclear palsy,richardson syndrome,mri,brain charts,staging

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