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      Alterations in Cerebellar Functional Connectivity Are Correlated With Decreased Psychomotor Vigilance Following Total Sleep Deprivation

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          Abstract

          Previous studies have reported significant changes in functional connectivity among various brain networks following sleep restriction. The cerebellum plays an important role in information processing for motor control and provides this information to higher-order networks. However, little is known regarding how sleep deprivation influences functional connectivity between the cerebellum and the cerebral cortex in humans. The present study aimed to investigate the changes in cerebellar functional connectivity induced by sleep deprivation, and their relationship with psychomotor vigilance. A total of 52 healthy men underwent resting-state functional magnetic resonance imaging before and after 36 h of total sleep deprivation. Functional connectivity was evaluated using region of interest (ROI)-to-ROI analyses, using 26 cerebellar ROIs as seed regions. Psychomotor vigilance was assessed using the psychomotor vigilance test (PVT). Decreased functional connectivity was observed between cerebellar seed regions and the bilateral postcentral, left inferior frontal, left superior medial frontal, and right middle temporal gyri. In contrast, increased functional connectivity was observed between the cerebellum and the bilateral caudate. Furthermore, decrease in functional connectivity between the cerebellum and the postcentral gyrus was negatively correlated with increase in PVT reaction times, while increase in functional connectivity between the cerebellum and the bilateral caudate was positively correlated with increase in PVT reaction times. These results imply that altered cerebellar functional connectivity is associated with impairment in psychomotor vigilance induced by sleep deprivation.

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          Dissociable intrinsic connectivity networks for salience processing and executive control.

          Variations in neural circuitry, inherited or acquired, may underlie important individual differences in thought, feeling, and action patterns. Here, we used task-free connectivity analyses to isolate and characterize two distinct networks typically coactivated during functional MRI tasks. We identified a "salience network," anchored by dorsal anterior cingulate (dACC) and orbital frontoinsular cortices with robust connectivity to subcortical and limbic structures, and an "executive-control network" that links dorsolateral frontal and parietal neocortices. These intrinsic connectivity networks showed dissociable correlations with functions measured outside the scanner. Prescan anxiety ratings correlated with intrinsic functional connectivity of the dACC node of the salience network, but with no region in the executive-control network, whereas executive task performance correlated with lateral parietal nodes of the executive-control network, but with no region in the salience network. Our findings suggest that task-free analysis of intrinsic connectivity networks may help elucidate the neural architectures that support fundamental aspects of human behavior.
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            The SCL-90 and the MMPI: a step in the validation of a new self-report scale.

            The present investigation was intended principally as a concurrent validation study for a new self-report symptom inventory: the SCL-90. A sample of 209 'symptomatic volunteers' served as subjects and were administered both the SCL-90 and the MMPI prior to participation in clinical therapeutic drug trials. The MMPI was scored for the Wiggins content scales and the Tryon cluster scales in addition to the standard clinical scales. Comparisons of the nine primary symptom dimensions of the SCL-90 with the set of MMPI scales reflected very high convergent validity for the SCL-90. Peak correlations were observed with like constructs on eight of the nine scales, with secondary patterns of correlations showing high interpretative consistency.
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              A meta-analysis of cerebellar contributions to higher cognition from PET and fMRI studies.

              A growing interest in cerebellar function and its involvement in higher cognition have prompted much research in recent years. Cerebellar presence in a wide range of cognitive functions examined within an increasing body of neuroimaging literature has been observed. We applied a meta-analytic approach, which employed the activation likelihood estimate method, to consolidate results of cerebellar involvement accumulated in different cognitive tasks of interest and systematically identified similarities among the studies. The current analysis included 88 neuroimaging studies demonstrating cerebellar activations in higher cognitive domains involving emotion, executive function, language, music, timing and working memory. While largely consistent with a prior meta-analysis by Stoodley and Schmahmann ([2009]: Neuroimage 44:489-501), our results extended their findings to include music and timing domains to provide further insights into cerebellar involvement and elucidate its role in higher cognition. In addition, we conducted inter- and intradomain comparisons for the cognitive domains of emotion, language, and working memory. We also considered task differences within the domain of verbal working memory by conducting a comparison of the Sternberg with the n-back task, as well as an analysis of the differential components within the Sternberg task. Results showed a consistent cerebellar presence in the timing domain, providing evidence for a role in time keeping. Unique clusters identified within the domain further refine the topographic organization of the cerebellum. Copyright © 2012 Wiley Periodicals, Inc.
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                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                21 February 2019
                2019
                : 13
                : 134
                Affiliations
                [1] 1Department of Neurology, The Second Medical Center, Sleep Medicine Research Center, National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Chinese PLA Medical School , Beijing, China
                [2] 2Department of Psychology Medical, The Eighth Medical Center, Chinese PLA General Hospital , Beijing, China
                [3] 3The Sixth Medical Center, Chinese PLA General Hospital , Beijing, China
                [4] 4Department of Radiology, The Eighth Medical Center, Chinese PLA General Hospital , Beijing, China
                [5] 5Department of Magnetic Resonance Imaging, Beijing Shijitan Hospital, Capital Medical University , Beijing, China
                [6] 6Army Medical University , Chongqing, China
                [7] 7School of Psychology, Beijing Sport University , Beijing, China
                Author notes

                Edited by: Marcos G. Frank, Washington State University Health Sciences Spokane, United States

                Reviewed by: Michelle Claire Dumoulin Bridi, Johns Hopkins University, United States; Kazue Semba, Dalhousie University, Canada; Kamran Diba, University of Michigan, United States

                *Correspondence: Xi Zhang, zhangxi@ 123456301hospital.com.cn Yongcong Shao, budeshao@ 123456aliyun.com

                These authors have contributed equally to this work

                This article was submitted to Sleep and Circadian Rhythms, a section of the journal Frontiers in Neuroscience

                Article
                10.3389/fnins.2019.00134
                6393739
                30846927
                2d3b572f-a91e-4428-ae4a-44022d250e66
                Copyright © 2019 Zhang, Yang, Yang, Li, Xin, Huang, Shao and Zhang.

                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
                : 17 November 2018
                : 06 February 2019
                Page count
                Figures: 4, Tables: 2, Equations: 0, References: 44, Pages: 10, Words: 0
                Funding
                Funded by: National Natural Science Foundation of China 10.13039/501100001809
                Award ID: 81501622
                Categories
                Neuroscience
                Original Research

                Neurosciences
                sleep deprivation,functional connectivity,cerebellum,fmri,psychomotor vigilance
                Neurosciences
                sleep deprivation, functional connectivity, cerebellum, fmri, psychomotor vigilance

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