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      Assessing brain iron and volume of subcortical nuclei in idiopathic rapid eye movement sleep behavior disorder

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          Abstract

          Study Objectives

          The relationship of iron with cognitive and motor impairment in idiopathic rapid eye movement sleep behavior disorder (iRBD) remains unknown.

          Methods

          Twenty-nine (29) patients and 28 healthy controls (HCs) underwent susceptibility weighted imaging and susceptibility mapping. These images were used to evaluate the nigrosome-1 (N1) sign in the substantia nigra (SN), global and regional high-iron (RII) content, and volume of subcortical nuclei.

          Results

          The number of iRBD patients with N1 loss (12) was significantly higher than HCs (2) (p = 0.005). Compared with HCs, the iRBD patients had reduced volume of the right caudate nucleus (RCN) (p < 0.05, false discovery rate [FDR] correction) but no significant changes in global and RII iron of the subcortical nuclei (all p > 0.05, FDR correction). Multiple regression analysis revealed that: for cognitive function, the RII iron of the RCN was significantly correlated with visuospatial function and the global iron of the right dentate nucleus (RDN) was correlated with memory function; for motor function, the RII iron of the left DN (LDN) and global iron of the left CN correlated with the Alternate-Tap test (left, average), the global iron of the LDN correlated with the Alternate-Tap test (right), and the global iron of the left GP correlated with the 3-m Timed Up and Go test (all p < 0.05, FDR correction).

          Conclusions

          Our exploratory analysis found that iRBD patients had a higher incidence of N1 loss and reduced RCN volume after FDR correction. Cognitive and motor impairment were associated with iron deposition in several cerebral nuclei after FDR correction.

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          Most cited references83

          • Record: found
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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.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            International classification of sleep disorders-third edition: highlights and modifications.

            The recently released third edition of the International Classification of Sleep Disorders (ICSD) is a fully revised version of the American Academy of Sleep Medicine's manual of sleep disorders nosology, published in cooperation with international sleep societies. It is the key reference work for the diagnosis of sleep disorders. The ICSD-3 is built on the same basic outline as the ICSD-2, identifying seven major categories that include insomnia disorders, sleep-related breathing disorders, central disorders of hypersomnolence, circadian rhythm sleep-wake disorders, sleep-related movement disorders, parasomnias, and other sleep disorders. Significant modifications have been made to the nosology of insomnia, narcolepsy, and parasomnias. Major features and changes of the manual are reviewed in this article. The rationales for these changes are also discussed.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Predicting the probability for falls in community-dwelling older adults using the Timed Up & Go Test.

              This study examined the sensitivity and specificity of the Timed Up & Go Test (TUG) under single-task versus dual-task conditions for identifying elderly individuals who are prone to falling. Fifteen older adults with no history of falls (mean age=78 years, SD=6, range=65-85) and 15 older adults with a history of 2 or more falls in the previous 6 months (mean age=86.2 years, SD=6, range=76-95) participated. Time taken to complete the TUG under 3 conditions (TUG, TUG with a subtraction task [TUGcognitive], and TUG while carrying a full cup of water [TUGmanual]) was measured. A multivariate analysis of variance and discriminant function and logistic regression analyses were performed. The TUG was found to be a sensitive (sensitivity=87%) and specific (specificity=87%) measure for identifying elderly individuals who are prone to falls. For both groups of older adults, simultaneous performance of an additional task increased the time taken to complete the TUG, with the greatest effect in the older adults with a history of falls. The TUG scores with or without an additional task (cognitive or manual) were equivalent with respect to identifying fallers and nonfallers. The results suggest that the TUG is a sensitive and specific measure for identifying community-dwelling adults who are at risk for falls. The ability to predict falls is not enhanced by adding a secondary task when performing the TUG.
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                Author and article information

                Contributors
                Journal
                Sleep
                Oxford University Press (OUP)
                0161-8105
                1550-9109
                October 01 2021
                October 11 2021
                May 20 2021
                October 01 2021
                October 11 2021
                May 20 2021
                : 44
                : 10
                Affiliations
                [1 ]Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China
                [2 ]Department of Radiology, Tianjin First Central Hospital, Tianjin Medical Imaging Institute, School of Medicine, Nankai University, Tianjin, China
                [3 ]Department of Radiology, Wayne State University, Detroit, MI, USA
                [4 ]SpinTech MRI Inc., Bingham Farms, MI, USA
                [5 ]Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
                [6 ]MR Collaboration, Siemens Healthcare Ltd., Beijing, China
                [7 ]Department of Neurology, Tianjin First Central Hospital, Tianjin, China
                Article
                10.1093/sleep/zsab131
                34015127
                aba7c147-0550-4fdb-a322-43b21555d226
                © 2021

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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