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      Brain Network Dysfunction in Poststroke Delirium and Spatial Neglect: An fMRI Study

      1 , 2 , 3 , 2 , 4 , 5 , 6 , 7
      Stroke
      Ovid Technologies (Wolters Kluwer Health)

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          Abstract

          Background and Purpose:

          Delirium, an acute reduction in cognitive functioning, hinders stroke recovery and contributes to cognitive decline. Right-hemisphere stroke is linked with higher delirium incidence, likely, due to the prevalence of spatial neglect (SN), a right-brain disorder of spatial processing. This study tested if symptoms of delirium and SN after right-hemisphere stroke are associated with abnormal function of the right-dominant neural networks specialized for maintaining attention, orientation, and arousal.

          Methods:

          Twenty-nine participants with right-hemisphere ischemic stroke undergoing acute rehabilitation completed delirium and SN assessments and functional neuroimaging scans. Whole-brain functional connectivity of 4 right-hemisphere seed regions in the cortical-subcortical arousal and attention networks was assessed for its relationship to validated SN and delirium severity measures.

          Results:

          Of 29 patients, 6 (21%) met the diagnostic criteria for delirium and 16 (55%) for SN. Decreased connectivity of the right basal forebrain to brain stem and basal ganglia predicted more severe SN. Increased connectivity of the arousal and attention network regions with the parietal, frontal, and temporal structures in the unaffected hemisphere was also found in more severe delirium and SN.

          Conclusions:

          Delirium and SN are associated with decreased arousal network activity and an imbalance of cortico-subcortical hemispheric connectivity. Better understanding of neural correlates of poststroke delirium and SN will lead to improved neuroscience-based treatment development for these disorders.

          Registration:

          URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03349411.

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          Most cited references62

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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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            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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              Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
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                Journal
                Stroke
                Stroke
                Ovid Technologies (Wolters Kluwer Health)
                0039-2499
                1524-4628
                March 2022
                March 2022
                : 53
                : 3
                : 930-938
                Affiliations
                [1 ]Center for Stroke Rehabilitation Research, Kessler Foundation, West Orange, NJ (O.B.).
                [2 ]Department of Physical Medicine and Rehabilitation, Rutgers-New Jersey Medical School, Newark (O.B., Y.K.).
                [3 ]Rocco Ortenzio Neuroimaging Center, Kessler Foundation, West Orange, NJ (M.K.).
                [4 ]Magnetic Resonance Research Center, Yale School of Medicine, New Haven, CT (Y.K.).
                [5 ]Kessler Institute for Rehabilitation, West Orange, NJ (Y.K.).
                [6 ]Center for Visual and Neurocognitive Rehabilitation, Atlanta VA Medical Center, Decatur, GA (A.M.B.).
                [7 ]Department of Neurology, Emory University School of Medicine, Atlanta, GA (A.M.B.).
                Article
                10.1161/STROKEAHA.121.035733
                34619987
                7081622b-432c-4acd-837a-5e97c40958b7
                © 2022
                History

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