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      Early‐stage Parkinson's disease: Abnormal nigrosome 1 and 2 revealed by a voxelwise analysis of neuromelanin‐sensitive MRI

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          Abstract

          Previous pathologic studies evaluated the substantia nigra pars compacta (SNpc) of a limited number of idiopathic Parkinson's disease (IPD) patients with relatively longer disease durations. Therefore, it remains unknown which region of the SNpc is most significantly affected in early‐stage IPD. We hypothesized that a voxelwise analysis of thin‐section neuromelanin‐sensitive MRI (NM‐MRI) may help determine the significantly affected regions of the SNpc in early‐stage IPD and localize these areas in each nigrosome on high‐spatial‐resolution susceptibility map‐weighted imaging (SMwI). Ninety‐six healthy subjects and 50 early‐stage IPD patients underwent both a 0.8 × 0.8 × 0.8 mm 3 NM‐MRI and a 0.5 × 0.5 × 1.0 mm 3 multi‐echo gradient‐recalled echo imaging for SMwI. Both NM‐MRI and SMwI templates were created by using image data from the 96 healthy subjects. Permutation‐based nonparametric tests were conducted to investigate spatial differences between the two groups in NM‐MRI, and the results were displayed on both NM‐MRI and SMwI templates. The posterolateral and anteromedial regions of the SNpc in NM‐MRI were significantly different between the two groups, corresponding to the nigrosome 1 and nigrosome 2 regions, respectively, on the SMwI template. There were the areas of significant spatial difference in the hypointense SN on SMwI between early‐stage IPD patients and healthy subjects. These areas on SMwI were slightly greater than those on NM‐MRI, including the areas showing group difference on NM‐MRI. Our voxelwise analysis of NM‐MRI suggests that two regions (nigrosome 1 and nigrosome 2) of the SNpc are separately affected in early‐stage IPD.

          Abstract

          Ninety‐six healthy subjects and 50 early‐stage IPD patients underwent both a 0.8 × 0.8 × 0.8 mm 3 NM‐MRI and a 0.5 × 0.5 × 1.0 mm 3 multi‐echo gradient‐recalled echo imaging for SMwI. Using both NM‐MRI and SMwI templates, we conducted voxelwise analysis of NM‐MRI between healthy subjects and IPD patients, and found that two regions (nigrosome 1 and nigrosome 2) of the substantia nigra pars compacta are separately affected in early‐stage IPD.

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          Most cited references46

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          MDS clinical diagnostic criteria for Parkinson's disease.

          This document presents the Movement Disorder Society Clinical Diagnostic Criteria for Parkinson's disease (PD). The Movement Disorder Society PD Criteria are intended for use in clinical research but also may be used to guide clinical diagnosis. The benchmark for these criteria is expert clinical diagnosis; the criteria aim to systematize the diagnostic process, to make it reproducible across centers and applicable by clinicians with less expertise in PD diagnosis. Although motor abnormalities remain central, increasing recognition has been given to nonmotor manifestations; these are incorporated into both the current criteria and particularly into separate criteria for prodromal PD. Similar to previous criteria, the Movement Disorder Society PD Criteria retain motor parkinsonism as the core feature of the disease, defined as bradykinesia plus rest tremor or rigidity. Explicit instructions for defining these cardinal features are included. After documentation of parkinsonism, determination of PD as the cause of parkinsonism relies on three categories of diagnostic features: absolute exclusion criteria (which rule out PD), red flags (which must be counterbalanced by additional supportive criteria to allow diagnosis of PD), and supportive criteria (positive features that increase confidence of the PD diagnosis). Two levels of certainty are delineated: clinically established PD (maximizing specificity at the expense of reduced sensitivity) and probable PD (which balances sensitivity and specificity). The Movement Disorder Society criteria retain elements proven valuable in previous criteria and omit aspects that are no longer justified, thereby encapsulating diagnosis according to current knowledge. As understanding of PD expands, the Movement Disorder Society criteria will need continuous revision to accommodate these advances.
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            Fast robust automated brain extraction.

            An automated method for segmenting magnetic resonance head images into brain and non-brain has been developed. It is very robust and accurate and has been tested on thousands of data sets from a wide variety of scanners and taken with a wide variety of MR sequences. The method, Brain Extraction Tool (BET), uses a deformable model that evolves to fit the brain's surface by the application of a set of locally adaptive model forces. The method is very fast and requires no preregistration or other pre-processing before being applied. We describe the new method and give examples of results and the results of extensive quantitative testing against "gold-standard" hand segmentations, and two other popular automated methods. Copyright 2002 Wiley-Liss, Inc.
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              Parkinsonism: onset, progression, and mortality

              M Hoehn, M Yahr (1967)
              Neurology, 17(5), 427-427
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                Author and article information

                Contributors
                neuroradkim@gmail.com
                Journal
                Hum Brain Mapp
                Hum Brain Mapp
                10.1002/(ISSN)1097-0193
                HBM
                Human Brain Mapping
                John Wiley & Sons, Inc. (Hoboken, USA )
                1065-9471
                1097-0193
                10 March 2021
                15 June 2021
                : 42
                : 9 ( doiID: 10.1002/hbm.v42.9 )
                : 2823-2832
                Affiliations
                [ 1 ] Department of Neurology, Gil Medical Center Gachon University College of Medicine Incheon Republic of Korea
                [ 2 ] Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine Samsung Medical Center, Gangnam‐gu Seoul Republic of Korea
                Author notes
                [*] [* ] Correspondence

                Eung Yeop Kim, Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon‐ro, Gangnam‐gu, Seoul 06351, Republic of Korea.

                Email: neuroradkim@ 123456gmail.com

                Author information
                https://orcid.org/0000-0002-9633-3314
                https://orcid.org/0000-0002-9579-4098
                Article
                HBM25406
                10.1002/hbm.25406
                8127157
                33751680
                8c8fb331-fddc-42d3-9c68-91e63e1546cd
                © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 17 February 2021
                : 14 September 2020
                : 27 February 2021
                Page count
                Figures: 5, Tables: 3, Pages: 10, Words: 8359
                Funding
                Funded by: The Brain Research Program of the National Research Foundation
                Award ID: 2018M3C7A1056889
                Funded by: The Korea Healthcare Technology R&D Project
                Award ID: HI14C1135
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                June 15, 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.2 mode:remove_FC converted:17.05.2021

                Neurology
                magnetic resonance imaging,neuromelanin,nigrosome,parkinson disease,substantia nigra pars compacta

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