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Song B, Zhu JC. A Narrative Review of Cerebellar Malfunctions and Sleep Disturbances. Front Neurosci 2021; 15:590619. [PMID: 34248474 PMCID: PMC8267147 DOI: 10.3389/fnins.2021.590619] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 05/31/2021] [Indexed: 11/15/2022] Open
Abstract
Cerebellar malfunctions significantly impact the regulation of the sleep–wakefulness transition. The possible mechanism for this effect is still unknown. Evidence on the role of cerebellar processing in the sleep–wake cycle is derived mainly from animal studies, and clinical management of the sleep–wake cycle is also challenging. The purpose of this review is to investigate the role of cerebellar activity during normal sleep and the association between cerebellar dysfunction and sleep disorders. Large-scale, multicenter trials are still needed to confirm these findings and provide early identification and intervention strategies to improve cerebellar function and the sleep quality of patients.
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Affiliation(s)
- Bijia Song
- Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China.,Department of Anesthesiology, Beijing Friendship Hospital of Capital Medical University, Beijing, China
| | - Jun-Chao Zhu
- Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China
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2
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Tarun A, Wainstein-Andriano D, Sterpenich V, Bayer L, Perogamvros L, Solms M, Axmacher N, Schwartz S, Van De Ville D. NREM sleep stages specifically alter dynamical integration of large-scale brain networks. iScience 2020; 24:101923. [PMID: 33409474 PMCID: PMC7773861 DOI: 10.1016/j.isci.2020.101923] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 11/07/2020] [Accepted: 12/07/2020] [Indexed: 02/07/2023] Open
Abstract
Functional dissociations in the brain observed during non-rapid eye movement (NREM) sleep have been associated with reduced information integration and impaired consciousness that accompany increasing sleep depth. Here, we explored the dynamical properties of large-scale functional brain networks derived from transient brain activity using functional magnetic resonance imaging. Spatial brain maps generally display significant modifications in terms of their tendency to occur across wakefulness and NREM sleep. Unexpectedly, almost all networks predominated in activity during NREM stage 2 before an abrupt loss of activity is observed in NREM stage 3. Yet, functional connectivity and mutual dependencies between these networks progressively broke down with increasing sleep depth. Thus, the efficiency of information transfer during NREM stage 2 is low despite the high attempt to communicate. Critically, our approach provides relevant data for evaluating functional brain network integrity and our findings robustly support a significant advance in our neural models of human sleep and consciousness.
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Affiliation(s)
- Anjali Tarun
- École Polytechnique Fédérale de Lausanne (Institute of Bioengineering, Medical Image Processing Laboratory), Geneva 1202, Switzerland.,University of Geneva (Department of Radiology and Medical Informatics), Geneva 1202, Switzerland
| | - Danyal Wainstein-Andriano
- University of Cape Town (Psychology Department, Faculty of Humanities), Cape Town 7701, South Africa.,Ruhr-Universität Bochum (Institute of Cognitive Neuroscience, Faculty of Psychology), Ruhr 44801, Germany
| | - Virginie Sterpenich
- University of Geneva, (Department of Basic Neurosciences), Geneva 1202, Switzerland
| | - Laurence Bayer
- University Hospitals of Geneva (Center for Sleep Medicine, Department of Medicine), Geneva 1202, Switzerland
| | - Lampros Perogamvros
- University of Geneva, (Department of Basic Neurosciences), Geneva 1202, Switzerland.,University Hospitals of Geneva (Center for Sleep Medicine, Department of Medicine), Geneva 1202, Switzerland
| | - Mark Solms
- University of Cape Town (Psychology Department, Faculty of Humanities), Cape Town 7701, South Africa
| | - Nikolai Axmacher
- Ruhr-Universität Bochum (Institute of Cognitive Neuroscience, Faculty of Psychology), Ruhr 44801, Germany
| | - Sophie Schwartz
- University of Geneva, (Department of Basic Neurosciences), Geneva 1202, Switzerland
| | - Dimitri Van De Ville
- École Polytechnique Fédérale de Lausanne (Institute of Bioengineering, Medical Image Processing Laboratory), Geneva 1202, Switzerland.,University of Geneva (Department of Radiology and Medical Informatics), Geneva 1202, Switzerland
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3
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Carletto S, Borsato T, Pagani M. The Role of Slow Wave Sleep in Memory Pathophysiology: Focus on Post-traumatic Stress Disorder and Eye Movement Desensitization and Reprocessing. Front Psychol 2017; 8:2050. [PMID: 29213253 PMCID: PMC5702654 DOI: 10.3389/fpsyg.2017.02050] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Accepted: 11/10/2017] [Indexed: 01/11/2023] Open
Affiliation(s)
- Sara Carletto
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
| | - Thomas Borsato
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Marco Pagani
- Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy
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Canto CB, Onuki Y, Bruinsma B, van der Werf YD, De Zeeuw CI. The Sleeping Cerebellum. Trends Neurosci 2017; 40:309-323. [PMID: 28431742 DOI: 10.1016/j.tins.2017.03.001] [Citation(s) in RCA: 93] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Revised: 02/24/2017] [Accepted: 03/02/2017] [Indexed: 12/24/2022]
Abstract
We sleep almost one-third of our lives and sleep plays an important role in critical brain functions like memory formation and consolidation. The role of sleep in cerebellar processing, however, constitutes an enigma in the field of neuroscience; we know little about cerebellar sleep-physiology, cerebro-cerebellar interactions during sleep, or the contributions of sleep to cerebellum-dependent memory consolidation. Likewise, we do not understand why cerebellar malfunction can lead to changes in the sleep-wake cycle and sleep disorders. In this review, we evaluate how sleep and cerebellar processing may influence one another and highlight which scientific routes and technical approaches could be taken to uncover the mechanisms underlying these interactions.
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Affiliation(s)
- Cathrin B Canto
- Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, The Netherlands.
| | - Yoshiyuki Onuki
- Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, The Netherlands
| | - Bastiaan Bruinsma
- Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, The Netherlands
| | - Ysbrand D van der Werf
- Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, The Netherlands; Department of Anatomy and Neurosciences, VU University Medical Center, 1007 MC, Amsterdam, The Netherlands
| | - Chris I De Zeeuw
- Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, The Netherlands; Department of Neuroscience, Erasmus MC, 3000 DR, Rotterdam, The Netherlands
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Kay DB, Karim HT, Soehner AM, Hasler BP, Wilckens KA, James JA, Aizenstein HJ, Price JC, Rosario BL, Kupfer DJ, Germain A, Hall MH, Franzen PL, Nofzinger EA, Buysse DJ. Sleep-Wake Differences in Relative Regional Cerebral Metabolic Rate for Glucose among Patients with Insomnia Compared with Good Sleepers. Sleep 2016; 39:1779-1794. [PMID: 27568812 PMCID: PMC5020360 DOI: 10.5665/sleep.6154] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Accepted: 05/30/2016] [Indexed: 01/15/2023] Open
Abstract
STUDY OBJECTIVES The neurobiological mechanisms of insomnia may involve altered patterns of activation across sleep-wake states in brain regions associated with cognition, self-referential processes, affect, and sleep-wake promotion. The objective of this study was to compare relative regional cerebral metabolic rate for glucose (rCMRglc) in these brain regions across wake and nonrapid eye movement (NREM) sleep states in patients with primary insomnia (PI) and good sleeper controls (GS). METHODS Participants included 44 PI and 40 GS matched for age (mean = 37 y old, range 21-60), sex, and race. We conducted [18F]fluoro-2-deoxy-D-glucose positron emission tomography scans in PI and GS during both morning wakefulness and NREM sleep at night. Repeated measures analysis of variance was used to test for group (PI vs. GS) by state (wake vs. NREM sleep) interactions in relative rCMRglc. RESULTS Significant group-by-state interactions in relative rCMRglc were found in the precuneus/posterior cingulate cortex, left middle frontal gyrus, left inferior/superior parietal lobules, left lingual/fusiform/occipital gyri, and right lingual gyrus. All clusters were significant at Pcorrected < 0.05. CONCLUSIONS Insomnia was characterized by regional alterations in relative glucose metabolism across NREM sleep and wakefulness. Significant group-by-state interactions in relative rCMRglc suggest that insomnia is associated with impaired disengagement of brain regions involved in cognition (left frontoparietal), self-referential processes (precuneus/posterior cingulate), and affect (left middle frontal, fusiform/lingual gyri) during NREM sleep, or alternatively, to impaired engagement of these regions during wakefulness.
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Affiliation(s)
- Daniel B. Kay
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Helmet T. Karim
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA
| | - Adriane M. Soehner
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Brant P. Hasler
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Kristine A. Wilckens
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Jeffrey A. James
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA
| | - Howard J. Aizenstein
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Julie C. Price
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA
| | - Bedda L. Rosario
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - David J. Kupfer
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Anne Germain
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Martica H. Hall
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Peter L. Franzen
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Eric A. Nofzinger
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Cerêve Inc. Oakmont, PA
| | - Daniel J. Buysse
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
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Hasan KM, Ali H, Shad MU. Atlas-based and DTI-guided quantification of human brain cerebral blood flow: feasibility, quality assurance, spatial heterogeneity and age effects. Magn Reson Imaging 2013; 31:1445-52. [PMID: 23731534 DOI: 10.1016/j.mri.2013.04.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2013] [Accepted: 04/27/2013] [Indexed: 12/28/2022]
Abstract
Accurate and noninvasive quantification of regional cerebral blood perfusion (CBF) of the human brain tissue would advance the study of the complex interplay between human brain structure and function, in both health and disease. Despite the plethora of works on CBF in gray matter, a detailed quantitative white matter perfusion atlas has not been presented on healthy adults using the International Consortium for Brain Mapping atlases. In this study, we present a host of assurance measures such as temporal stability, spatial heterogeneity and age effects of regional and global CBF in selected deep, cortical gray matter and white matter tracts identified and quantified using diffusion tensor imaging (DTI). We utilized whole brain high-resolution DTI combined with arterial spin labeling to quantify regional CBF on 15 healthy adults aged 23.2-57.1years. We present total brain and regional CBF, corresponding volume, mean diffusivity and fractional anisotropy spatial heterogeneity, and dependence on age as additional quality assurance measures to compare with published trends using both MRI and nuclear medicine methods. Total CBF showed a steady decrease with age in gray matter (r=-0.58; P=.03), whereas total CBF of white matter did not significantly change with age (r=0.11; P=.7). This quantitative report offers a preliminary baseline of CBF, volume and DTI measurements for the design of future multicenter and clinical studies utilizing noninvasive perfusion and DT-MRI.
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Affiliation(s)
- Khader M Hasan
- Medical School, Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center, Houston, TX 77030, USA.
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Foucher JR, Roquet D, Marrer C, Pham BT, Gounot D. Correcting for the echo-time effect after measuring the cerebral blood flow by arterial spin labeling. J Magn Reson Imaging 2011; 34:785-90. [PMID: 21769973 DOI: 10.1002/jmri.22678] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2010] [Accepted: 05/23/2011] [Indexed: 12/22/2022] Open
Abstract
PURPOSE To take into account the echo time (TE) influence on arterial spin labeling (ASL) signal when converting it in regional cerebral blood flow (rCBF). Gray matter ASL signal decrease with increasing TE as a consequence of the difference in the apparent transverse relaxation rates between labeled water in capillaries and nonlabeled water in the tissue (δR 2*). We aimed to measure ASL/rCBF changes in different parts of the brain and correct them. MATERIALS AND METHODS Fifteen participants underwent ASL measurements at TEs of 9.7-30 ms. Decreases in ASL values were localized by statistical parametric mapping. The corrections assessed were a subject-per-subject adjustment, an average δR 2* value adjustment, and a two-compartment model adjustment. RESULTS rCBF decreases associated with increasing TEs were found for gray matter and were corrected using an average δR 2* value of 20 s(-1) . Conversely, for white matter, rCBF values increased with increasing TEs (δR 2* = -23 s(-1)). CONCLUSION Our correction was as good as using a two-compartment model. However, it must be done separately for the gray and white matter rCBF values because the capillary R 2* values are, respectively, larger and smaller than those of surrounding tissues.
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Affiliation(s)
- Jack R Foucher
- UdS, Université de Strasbourg, Strasbourg, France; INSERM U666-Physiopathologie et Psychopathologie Cognitive de la Schizophrénie, Strasbourg, France.
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Changes in cerebral hemoglobin indices in obstructive sleep apnea syndrome with nasal continuous positive airway pressure treatment. Sleep Breath 2010; 15:487-92. [DOI: 10.1007/s11325-010-0367-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2010] [Revised: 05/02/2010] [Accepted: 05/11/2010] [Indexed: 10/19/2022]
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Donahue MJ, Lu H, Jones CK, Pekar JJ, van Zijl PCM. An account of the discrepancy between MRI and PET cerebral blood flow measures. A high-field MRI investigation. NMR IN BIOMEDICINE 2006; 19:1043-54. [PMID: 16948114 DOI: 10.1002/nbm.1075] [Citation(s) in RCA: 74] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
There is controversy concerning the discrepancy between absolute cerebral blood flow (CBF) values measured using positron emission tomography (PET) and magnetic resonance imaging (MRI). To gain insight into this problem, the increased signal-to-noise ratio (SNR) and extended T(1) relaxation times of blood and tissue at 3.0 T were exploited to perform pulsed arterial spin labeling (PASL) MRI measurements as a function of spatial resolution and post-labeling delay. The results indicate that, when using post-labeling delays shorter than 1500 ms, MRI gray matter flow values may become as high as several times the correct CBF values owing to tissue signal contamination by remaining arterial blood water label. For delays above 1500 ms, regional PASL-based CBF values (n = 5; frontal gray matter: 48.8 +/- 3.3(SD) ml/100 g/min; occipital gray matter: 49.3 +/- 4.5 ml/100 g/min) comparable with PET-based measurements can be obtained by using spatial resolutions comparable with PET (5-7.5 mm in-plane). At very high resolution (2.5 x 2.5 x 3 mm(3)), gray matter CBF values were found to increase by 10-20%, a consequence attributed to reduction in partial volume effects with cerebrospinal fluid and white matter. The recent availability of MRI field strengths of 3.0 T and higher will facilitate the use of MRI-based CBF measurements in the clinic.
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Affiliation(s)
- Manus J Donahue
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University, Baltimore, MD, USA
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Abstract
Herein are presented the results of research in the area of sleep neuroimaging over the past year. Significant work has been performed to clarify the basic mechanisms of sleep in humans. New studies also extend prior observations regarding altered brain activation in response to sleep deprivation by adding information regarding vulnerability to sleep deprivation and regarding the influence of task difficulty on aberrant responses. Studies in sleep disorder medicine have yielded significant findings in insomnia, depression, and restless legs syndrome. Extensive advances have been made in the area of sleep apnea where physiologic challenges have been used to probe brain activity in the pathophysiology of sleep apnea syndrome.
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Affiliation(s)
- Eric A Nofzinger
- Sleep Neuroimaging Research Program, University of Pittsburgh School of Medicine, 3811 O'Hara Street, Pittsburgh, PA 15213, USA.
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Hiroki M, Kajimura N, Uema T, Ogawa K, Nishikawa M, Kato M, Watanabe T, Nakajima T, Takano H, Imabayashi E, Ohnishi T, Takayama Y, Matsuda H, Uchiyama M, Okawa M, Takahashi K, Fukuyama H. Effect of Benzodiazepine Hypnotic Triazolam on Relationship of Blood Pressure and Pa co2 to Cerebral Blood Flow During Human Non-Rapid Eye Movement Sleep. J Neurophysiol 2006; 95:2293-303. [PMID: 16251267 DOI: 10.1152/jn.00114.2005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
We sought to clarify the effect of short-acting benzodiazepine hypnotic on the relationship of arterial blood pressure and arterial partial pressure of carbon dioxide (Paco2) to regional cerebral blood flow (rCBF) during human non-rapid-eye-movement (non-REM) sleep. Nine young normal volunteers were treated in a randomized, crossover design with triazolam or placebo and underwent positron emission tomography at night. During wakefulness and stage 2 and slow wave (stages 3 and 4) sleep, we measured mean arterial blood pressure (MAP), Paco2, and absolute CBF. With triazolam compared to placebo, MAP reduced gradually. During stage 2 sleep, Paco2 increased and whole-brain mean CBF decreased. With triazolam, relative rCBF of the left orbital basal forebrain decreased more during stage 2 than slow wave sleep, whereas absolute CBF of the occipital cortex and cerebral white matter remained constant. During triazolam-induced stage 2 sleep, absolute CBF of the cerebral white matter correlated more strongly to both MAP and Paco2 than during placebo sleep and also correlated more strongly to both MAP and Paco2 than absolute CBF of the occipital cortex. In the frontal white matter, during triazolam-induced stage 2 sleep compared to wakefulness, absolute CBF was significantly better correlated to MAP, but not to Paco2. During triazolam-induced stage 2, the cerebral white matter may receive a modulated CBF regulation having the strengthened relationship of Paco2 to CBF and, more locally, the frontal white matter may depend precariously on CBF regulation.
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Affiliation(s)
- Masahiko Hiroki
- Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan.
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