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      Regional brain dysfunction in insomnia after ischemic stroke: A resting-state fMRI study

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          Abstract

          Objective

          This study aimed to explore the abnormality of local brain function in patients with post-stroke insomnia (PSI) based on fMRI and explore the possible neuropathological mechanisms of insomnia in patients with PSI in combination with the Pittsburgh sleep quality index (PSQI) score and provide an objective evaluation index for the follow-up study of acupuncture treatment of PSI.

          Methods

          A total of 27 patients with insomnia after stroke were enrolled, and the PSQI was used to evaluate their sleep status. Twenty-seven healthy participants who underwent physical examinations during the same period were selected as controls. Resting-state brain function images and structural images of the two groups of participants were collected, and the abnormal changes in the regional brain function in patients with PSI were analyzed using three methods: regional homogeneity (ReHo), the amplitude of low-frequency fluctuations (ALFF) and fractional ALFF (fALFF), and a correlation analysis with the PSQI scale score.

          Results

          Compared with the HCs, the ReHo values of the PSI group in the bilateral lingual gyrus, right cuneus, right precentral and postcentral gyri were significantly lower, and the ReHo values of the left supramarginal gyrus were significantly higher. In the PSI group, the ALFF values in the bilateral lingual gyrus were significantly decreased, whereas those in the bilateral middle temporal gyrus, right inferior temporal gyrus, right inferior frontal gyrus, right limbic lobe, right precuneus, left posterior cingulate gyrus, and left middle occipital gyrus were significantly increased. Compared with HCs, the fALFF values of the bilateral lingual gyrus, bilateral inferior occipital gyrus, and bilateral cuneus in the PSI group were significantly higher. The ReHo value of the left supramarginal gyrus in the PSI group was significantly negatively correlated with the total PSQI score.

          Conclusion

          Patients with PSI have abnormal local activities in multiple brain regions, including the visual processing-related cortex, sensorimotor cortex, and some default-mode network (DMN) regions. Over-arousal of the DMN and over-sensitivity of the audiovisual stimuli in patients with PSI may be the main mechanisms of insomnia and can lead to a decline in cognitive function and abnormalities in emotion regulation simultaneously.

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          Most cited references57

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          The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

          Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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            The assessment and analysis of handedness: The Edinburgh inventory

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              Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI.

              In children with attention deficit hyperactivity disorder (ADHD), functional neuroimaging studies have revealed abnormalities in various brain regions, including prefrontal-striatal circuit, cerebellum, and brainstem. In the current study, we used a new marker of functional magnetic resonance imaging (fMRI), amplitude of low-frequency (0.01-0.08Hz) fluctuation (ALFF) to investigate the baseline brain function of this disorder. Thirteen boys with ADHD (13.0+/-1.4 years) were examined by resting-state fMRI and compared with age-matched controls. As a result, we found that patients with ADHD had decreased ALFF in the right inferior frontal cortex, [corrected] and bilateral cerebellum and the vermis as well as increased ALFF in the right anterior cingulated cortex, left sensorimotor cortex, and bilateral brainstem. This resting-state fMRI study suggests that the changed spontaneous neuronal activity of these regions may be implicated in the underlying pathophysiology in children with ADHD.
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                Author and article information

                Contributors
                Journal
                Front Neurol
                Front Neurol
                Front. Neurol.
                Frontiers in Neurology
                Frontiers Media S.A.
                1664-2295
                25 November 2022
                2022
                : 13
                : 1025174
                Affiliations
                [1] 1Medical Imaging Center, The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine , Guangzhou, China
                [2] 2Rehabilitation and Nursing Center, The First Affiliated Hospital of Guangzhou University of Chinese Medicine , Guangzhou, China
                [3] 3Department of Magnetic Resonance Imaging, Zhanjiang First Hospital of Traditional Chinese Medicine , Zhanjiang, China
                Author notes

                Edited by: Haitham Jahrami, Arabian Gulf University, Bahrain

                Reviewed by: Xiaofen Ma, Guangdong Second Provincial General Hospital, China; Lei Gao, Zhongnan Hospital of Wuhan University, China; Chao-Qun Yan, Dongzhimen Hospital, Beijing University of Chinese Medicine, China

                *Correspondence: Shijun Qiu qiu-sj@ 123456163.com

                This article was submitted to Sleep Disorders, a section of the journal Frontiers in Neurology

                †These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fneur.2022.1025174
                9733724
                36504641
                6cc9d1d9-2649-4a2c-a418-9bf1706d0993
                Copyright © 2022 Wang, Huang, Li, Yang, An, Leng, Xu and Qiu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 22 August 2022
                : 08 November 2022
                Page count
                Figures: 5, Tables: 4, Equations: 0, References: 57, Pages: 12, Words: 7371
                Categories
                Neurology
                Original Research

                Neurology
                post-stroke insomnia,functional magnetic resonance imaging,regional homogeneity,amplitude of low-frequency fluctuations,fractional amplitude of low-frequency fluctuation

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