101
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Naji M, Krishnan GP, McDevitt EA, Bazhenov M, Mednick SC. Coupling of autonomic and central events during sleep benefits declarative memory consolidation. Neurobiol Learn Mem 2019; 157:139-150. [PMID: 30562589 PMCID: PMC6425961 DOI: 10.1016/j.nlm.2018.12.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 11/24/2018] [Accepted: 12/15/2018] [Indexed: 02/07/2023]
Abstract
While anatomical pathways between forebrain cognitive and brainstem autonomic nervous centers are well-defined, autonomic-central interactions during sleep and their contribution to waking performance are not understood. Here, we analyzed simultaneous central activity via electroencephalography (EEG) and autonomic heart beat-to-beat intervals (RR intervals) from electrocardiography (ECG) during wake and daytime sleep. We identified bursts of ECG activity that lasted 4-5 s and predominated in non-rapid-eye-movement sleep (NREM). Using event-based analysis of NREM sleep, we found an increase in delta (0.5-4 Hz) and sigma (12-15 Hz) power and an elevated density of slow oscillations (0.5-1 Hz) about 5 s prior to peak of the heart rate burst, as well as a surge in vagal activity, assessed by high-frequency (HF) component of RR intervals. Using regression framework, we show that these Autonomic/Central Events (ACE) positively predicted post-nap improvement in a declarative memory task after controlling for the effects of spindles and slow oscillations from sleep periods without ACE. No such relation was found between memory performance and a control nap. Additionally, NREM ACE negatively correlated with REM sleep and learning in a non-declarative memory task. These results provide the first evidence that coordinated autonomic and central events play a significant role in declarative memory consolidation.
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Affiliation(s)
- Mohsen Naji
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Giri P Krishnan
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | | | - Maxim Bazhenov
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Sara C Mednick
- Department of Cognitive Sciences, University of California Irvine, Irvine, CA, USA.
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102
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103
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Kokkinos V, Vulliémoz S, Koupparis AM, Koutroumanidis M, Kostopoulos GK, Lemieux L, Garganis K. A hemodynamic network involving the insula, the cingulate, and the basal forebrain correlates with EEG synchronization phases of sleep instability. Sleep 2018; 42:5253667. [DOI: 10.1093/sleep/zsy259] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 11/27/2018] [Indexed: 01/25/2023] Open
Affiliation(s)
- Vasileios Kokkinos
- Department of Neurological Surgery, School of Medicine, University of Pittsburgh, PA
- Epilepsy Center of Thessaloniki, St. Luke’s Hospital, Thessaloniki, Greece
- Neurophysiology Unit, Department of Physiology, Medical School, University of Patras, Greece
| | - Serge Vulliémoz
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, Queen Square, London, UK
- MRI Unit, Epilepsy Society, Chalfont St. Peter, UK
- EEG and Epilepsy Unit, Neurology, University Hospital and Faculty of Medicine, Geneva, Switzerland
| | - Andreas M Koupparis
- Neurophysiology Unit, Department of Physiology, Medical School, University of Patras, Greece
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Michalis Koutroumanidis
- Department of Clinical Neurophysiology and Epilepsies, Guy’s, St. Thomas’ and Evelina Hospital for Children, NHS Foundation Trust, London, UK
- Department of Neuroscience, Institute of Psychiatry, Kings College London, UK
| | - George K Kostopoulos
- Neurophysiology Unit, Department of Physiology, Medical School, University of Patras, Greece
| | - Louis Lemieux
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, Queen Square, London, UK
- MRI Unit, Epilepsy Society, Chalfont St. Peter, UK
| | - Kyriakos Garganis
- Epilepsy Center of Thessaloniki, St. Luke’s Hospital, Thessaloniki, Greece
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104
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Pang J, Robinson P. Neural mechanisms of the EEG alpha-BOLD anticorrelation. Neuroimage 2018; 181:461-470. [DOI: 10.1016/j.neuroimage.2018.07.031] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 07/02/2018] [Accepted: 07/12/2018] [Indexed: 12/22/2022] Open
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Siclari F, Bernardi G, Cataldi J, Tononi G. Dreaming in NREM Sleep: A High-Density EEG Study of Slow Waves and Spindles. J Neurosci 2018; 38:9175-9185. [PMID: 30201768 PMCID: PMC6199409 DOI: 10.1523/jneurosci.0855-18.2018] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 07/30/2018] [Accepted: 08/01/2018] [Indexed: 01/08/2023] Open
Abstract
Dreaming can occur in both rapid eye movement (REM) and non-REM (NREM) sleep. We recently showed that in both REM and NREM sleep, dreaming is associated with local decreases in slow wave activity (SWA) in posterior brain regions. To expand these findings, here we asked how specific features of slow waves and spindles, the hallmarks of NREM sleep, relate to dream experiences. Fourteen healthy human subjects (10 females) underwent nocturnal high-density EEG recordings combined with a serial awakening paradigm. Reports of dreaming, compared with reports of no experience, were preceded by fewer, smaller, and shallower slow waves, and faster spindles, especially in central and posterior cortical areas. We also identified a minority of very steep and large slow waves in frontal regions, which occurred on a background of reduced SWA and were associated with high-frequency power increases (local "microarousals") heralding the successful recall of dream content. These results suggest that the capacity of the brain to generate experiences during sleep is reduced in the presence of neuronal off-states in posterior and central brain regions, and that dream recall may be facilitated by the intermittent activation of arousal systems during NREM sleep.SIGNIFICANCE STATEMENT By combining high-density EEG recordings with a serial awakening paradigm in healthy subjects, we show that dreaming in non-rapid eye movement sleep occurs when slow waves in central and posterior regions are sparse, small, and shallow. We also identified a small subset of very large and steep frontal slow waves that are associated with high-frequency activity increases (local "microarousals") heralding successful recall of dream content. These results provide noninvasive measures that could represent a useful tool to infer the state of consciousness during sleep.
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Affiliation(s)
- Francesca Siclari
- Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland,
| | - Giulio Bernardi
- Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland
- MoMiLab Unit, IMT School for Advanced Studies Lucca, 55100 Lucca, Italy
| | - Jacinthe Cataldi
- Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland
| | - Giulio Tononi
- Department of Psychiatry, University of Wisconsin-Madison, Madison, Wisconsin 53719, and
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106
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Abstract
The regulated alternations between wakefulness and sleep states reflect complex behavioral processes, orchestrated by distinct neurochemical changes in brain parenchyma. No single neurotransmitter or neuromodulator controls the sleep-wake states in isolation. Rather, fine-tuned interactions within organized neuronal circuits regulate waking and sleep states and drive their transitions. Structural or functional dysregulation and medications interfering with these ensembles can lead to sleep-wake disorders and exert wanted or unwanted pharmacological actions on sleep-wake states. Knowledge of the neurochemical bases of sleep-wake states, which will be discussed in this article, provides the conceptual framework for understanding pharmacological effects on sleep and wake.
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Affiliation(s)
- Sebastian C Holst
- Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, 28 Juliane Maries Vej 6931, Copenhagen 2100, Denmark.
| | - Hans-Peter Landolt
- Institute of Pharmacology and Toxicology, University of Zürich, Winterthurerstrasse 190, Zürich 8057, Switzerland; Zürich Center for Interdisciplinary Sleep Research (ZiS), University of Zürich, Zürich, Switzerland
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107
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How do children fall asleep? A high-density EEG study of slow waves in the transition from wake to sleep. Neuroimage 2018; 178:23-35. [DOI: 10.1016/j.neuroimage.2018.05.024] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 05/01/2018] [Accepted: 05/08/2018] [Indexed: 01/17/2023] Open
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Fine-scale mapping of cortical laminar activity during sleep slow oscillations using high-density linear silicon probes. J Neurosci Methods 2018; 316:58-70. [PMID: 30144495 DOI: 10.1016/j.jneumeth.2018.08.020] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 08/16/2018] [Accepted: 08/17/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND The cortical slow (∼1 Hz) oscillation (SO), which is thought to play an active role in the consolidation of memories, is a brain rhythm characteristic of slow-wave sleep, with alternating periods of neuronal activity and silence. Although the laminar distribution of cortical activity during SO is well-studied by using linear neural probes, traditional devices have a relatively low (20-100 μm) spatial resolution along cortical layers. NEW METHOD In this work, we demonstrate a high-density linear silicon probe fabricated to record the SO with very high spatial resolution (∼6 μm), simultaneously from multiple cortical layers. Ketamine/xylazine-induced SO was acquired acutely from the neocortex of rats, followed by the examination of the high-resolution laminar structure of cortical activity. RESULTS The probe provided high-quality extracellular recordings, and the obtained cortical laminar profiles of the SO were in good agreement with the literature data. Furthermore, we could record the simultaneous activity of 30-50 cortical single units. Spiking activity of these neurons showed layer-specific differences. COMPARISON WITH EXISTING METHODS The developed silicon probe measures neuronal activity with at least a three-fold higher spatial resolution compared with traditional linear probes. By exploiting this feature, we could determine the site of up-state initiation with a higher precision than before. Additionally, increased spatial resolution may provide more reliable spike sorting results, as well as a higher single unit yield. CONCLUSIONS The high spatial resolution provided by the electrodes allows to examine the fine structure of local population activity during sleep SO in greater detail.
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109
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Developmental changes in the cortical sources of spontaneous alpha throughout adolescence. Int J Psychophysiol 2018; 133:91-101. [PMID: 30098374 DOI: 10.1016/j.ijpsycho.2018.08.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 08/06/2018] [Accepted: 08/07/2018] [Indexed: 12/22/2022]
Abstract
This study investigated age-, gender-, and puberty-related changes in two cortical sources of spontaneous alpha during eyes-open and eyes-closed conditions in a cohort of adolescents aged 9-23 years. In total, 29 preadolescents (9-12 years, 14 females), 29 mid-adolescents (13-17 years, 14 females), and 33 late adolescents (18-23 years, 17 females) had their resting brain activity measured using electroencephalography (EEG) during eyes-open and eyes-closed conditions. Standardised Low Resolution Brain Electromagnetic Tomography (sLORETA) was used to estimate the cortical sources of spontaneous alpha. Two cortical sources were chosen as regions of interest (ROIs): prefrontal cortex and occipital cortex. Significant age-related changes in the cortical sources of alpha were found, particularly in prefrontal regions; prefrontal alpha power was greater during the eyes-open condition compared to the eyes-closed condition for late adolescents, but equivalent across the eyes-open and eyes-closed conditions for both pre- and mid-adolescents. In addition, more advanced pubertal stage predicted reduced alpha power in male, but not female, adolescents aged 9-17 years. This study provides an important initial step towards understanding developmental changes in the cortical sources of spontaneous alpha in the typically developing brain. Moreover, the results from this study underscore the need to tease out the effects of age, gender, and puberty when examining the cortical sources of alpha during the adolescent period.
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110
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Gozdas E, Parikh NA, Merhar SL, Tkach JA, He L, Holland SK. Altered functional network connectivity in preterm infants: antecedents of cognitive and motor impairments? Brain Struct Funct 2018; 223:3665-3680. [PMID: 29992470 DOI: 10.1007/s00429-018-1707-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 06/24/2018] [Indexed: 12/12/2022]
Abstract
Very preterm infants (≤ 31 weeks gestational age) are at high risk for brain injury and delayed development. Applying functional connectivity and graph theory methods to resting state MRI data (fcMRI), we tested the hypothesis that preterm infants would demonstrate alterations in connectivity measures both globally and in specific networks related to motor, language and cognitive function, even when there is no anatomical imaging evidence of injury. Fifty-one healthy full-term controls and 24 very preterm infants without significant neonatal brain injury, were evaluated at term-equivalent age with fcMRI. Preterm subjects showed lower functional connectivity from regions associated with motor, cognitive, language and executive function, than term controls. Examining brain networks using graph theory measures of functional connectivity, very preterm infants also exhibited lower rich-club coefficient and assortativity but higher small-worldness and no significant difference in modularity when compared to term infants. The findings provide evidence that functional connectivity exhibits deficits soon after birth in very preterm infants in key brain networks responsible for motor, language and executive functions, even in the absence of anatomical lesions. These functional network measures could serve as prognostic biomarkers for later developmental disabilities and guide decisions about early interventions.
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Affiliation(s)
- Elveda Gozdas
- Department of Physics, University of Cincinnati, Cincinnati, OH, USA.,Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Nehal A Parikh
- Department of Pediatrics, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.,Department of Pediatrics, Center for Perinatal Research, Nationwide Children's Hospital, Columbus, OH, USA
| | - Stephanie L Merhar
- Department of Pediatrics, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Jean A Tkach
- Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Lili He
- Department of Pediatrics, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.,Medpace Inc., Cincinnati, OH, USA
| | - Scott K Holland
- Department of Physics, University of Cincinnati, Cincinnati, OH, USA. .,Medpace Inc., Cincinnati, OH, USA.
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111
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Picchioni D, Schmidt KC, McWhirter KK, Loutaev I, Pavletic AJ, Speer AM, Zametkin AJ, Miao N, Bishu S, Turetsky KM, Morrow AS, Nadel JL, Evans BC, Vesselinovitch DM, Sheeler CA, Balkin TJ, Smith CB. Rates of cerebral protein synthesis in primary visual cortex during sleep-dependent memory consolidation, a study in human subjects. Sleep 2018; 41:4996371. [PMID: 29771362 PMCID: PMC6251561 DOI: 10.1093/sleep/zsy088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 03/01/2018] [Indexed: 11/14/2022] Open
Abstract
If protein synthesis during sleep is required for sleep-dependent memory consolidation, we might expect rates of cerebral protein synthesis (rCPS) to increase during sleep in the local brain circuits that support performance on a particular task following training on that task. To measure circuit-specific brain protein synthesis during a daytime nap opportunity, we used the L-[1-(11)C]leucine positron emission tomography (PET) method with simultaneous polysomnography. We trained subjects on the visual texture discrimination task (TDT). This was followed by a nap opportunity during the PET scan, and we retested them later in the day after the scan. The TDT is considered retinotopically specific, so we hypothesized that higher rCPS in primary visual cortex would be observed in the trained hemisphere compared to the untrained hemisphere in subjects who were randomized to a sleep condition. Our results indicate that the changes in rCPS in primary visual cortex depended on whether subjects were in the wakefulness or sleep condition but were independent of the side of the visual field trained. That is, only in the subjects randomized to sleep, rCPS in the right primary visual cortex was higher than the left regardless of side trained. Other brain regions examined were not so affected. In the subjects who slept, performance on the TDT improved similarly regardless of the side trained. Results indicate a regionally selective and sleep-dependent effect that occurs with improved performance on the TDT.
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Affiliation(s)
- Dante Picchioni
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD
- Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD
| | - Kathleen C Schmidt
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Kelly K McWhirter
- Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD
| | - Inna Loutaev
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Adriana J Pavletic
- Office of the Clinical Director, National Institute of Mental Health, Bethesda, MD
| | - Andrew M Speer
- Office of the Clinical Director, National Institute of Mental Health, Bethesda, MD
| | - Alan J Zametkin
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Ning Miao
- Department of Perioperative Medicine, National Institutes of Health Clinical Center, Bethesda, MD
| | - Shrinivas Bishu
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Kate M Turetsky
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Anne S Morrow
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Jeffrey L Nadel
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Brittney C Evans
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Diana M Vesselinovitch
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Carrie A Sheeler
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Thomas J Balkin
- Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD
| | - Carolyn B Smith
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
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112
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The dichotomy between low frequency and delta waves in human sleep: A reappraisal. J Neurosci Methods 2018; 293:234-246. [DOI: 10.1016/j.jneumeth.2017.09.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 09/28/2017] [Accepted: 09/29/2017] [Indexed: 11/20/2022]
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113
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Fillo J, Holliday SB, DeSantis A, Germain A, Buysse DJ, Matthews KA, Troxel WM. Observed Relationship Behaviors and Sleep in Military Veterans and Their Partners. Ann Behav Med 2017; 51:879-889. [PMID: 28488231 PMCID: PMC5680152 DOI: 10.1007/s12160-017-9911-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Emerging research has begun to examine associations between relationship functioning and sleep. However, these studies have largely relied on self-reported evaluations of relationships and/or of sleep, which may be vulnerable to bias. PURPOSE The purpose of the study was to examine associations between relationship functioning and sleep in military couples. This is the first research to examine associations between observed relationship behaviors and subjective and polysomnographically measured sleep in a sample at-risk for both sleep and relationship problems. METHODS The sample included 35 military veterans and their spouses/partners. Marital functioning was coded from a videotaped conflict interaction. Analyses focused on behavioral codes of hostility and relationship-enhancing attributions. Sleep was assessed via self-report and in-home polysomnography. RESULTS Greater hostility was associated with poorer sleep efficiency for oneself (b = -0.195, p = .013). In contrast, greater relationship-enhancing attributions were associated with higher percentages of stage N3 sleep (b = 0.239, p = .028). Partners' hostility was also positively associated with higher percentages of stage N3 sleep (b = 0.272, p = .010). Neither hostility nor relationship-enhancing attributions was associated with self-reported sleep quality, percentage of REM sleep, or total sleep time. CONCLUSIONS Both partners' positive and negative behaviors during conflict interactions were related to sleep quality. These findings highlight the role that effective communication and conflict resolution skills may play in shaping not only the marital health of veterans and their spouses but also the physical health of both partners as well. Understanding the links between relationship functioning and sleep may be important targets of intervention in the aftermath of war.
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Affiliation(s)
- Jennifer Fillo
- Research Institute on Addictions, University at Buffalo, The State University of New York, 1021 Main Street, Buffalo, NY, 14203, USA
| | | | - Amy DeSantis
- RAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA
| | - Anne Germain
- Department of Psychiatry, University of Pittsburgh, School of Medicine, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, School of Medicine, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Karen A Matthews
- Department of Psychiatry, University of Pittsburgh, School of Medicine, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Wendy M Troxel
- RAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA.
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114
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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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115
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In human non-REM sleep, more slow-wave activity leads to less blood flow in the prefrontal cortex. Sci Rep 2017; 7:14993. [PMID: 29101338 PMCID: PMC5670199 DOI: 10.1038/s41598-017-12890-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 09/15/2017] [Indexed: 11/08/2022] Open
Abstract
Cerebral blood flow (CBF) is related to integrated neuronal activity of the brain whereas EEG provides a more direct measurement of transient neuronal activity. Therefore, we addressed what happens in the brain during sleep, combining CBF and EEG recordings. The dynamic relationship of CBF with slow-wave activity (SWA; EEG sleep intensity marker) corroborated vigilance state specific (i.e., wake, non-rapid eye movement (NREM) sleep stages N1-N3, wake after sleep) differences of CBF e.g. in the posterior cingulate, basal ganglia, and thalamus, indicating their role in sleep-wake regulation and/or sleep processes. These newly observed dynamic correlations of CBF with SWA - namely a temporal relationship during continuous NREM sleep in individuals - additionally implicate an impact of sleep intensity on the brain's metabolism. Furthermore, we propose that some of the aforementioned brain areas that also have been shown to be affected in disorders of consciousness might therefore contribute to the emergence of consciousness.
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116
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Miller AMP, Frick BJ, Smith DM, Radulovic J, Corcoran KA. Network oscillatory activity driven by context memory processing is differently regulated by glutamatergic and cholinergic neurotransmission. Neurobiol Learn Mem 2017; 145:59-66. [PMID: 28864239 PMCID: PMC5698163 DOI: 10.1016/j.nlm.2017.08.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 08/03/2017] [Accepted: 08/26/2017] [Indexed: 12/15/2022]
Abstract
Memory retrieval requires coordinated intra- and inter-regional activity in networks of brain structures. Dysfunction of these networks and memory impairment are seen in many psychiatric disorders, but relatively little is known about how memory retrieval and memory failure are represented at the level of local and regional oscillatory activity. To address this question, we measured local field potentials (LFPs) from mice as they explored a novel context, retrieved memories for contextual fear conditioning, and after administration of two amnestic agents: the NMDA receptor antagonist MK-801 and muscarinic acetylcholine receptor antagonist scopolamine (SCOP). LFPs were simultaneously recorded from retrosplenial cortex (RSC), dorsal hippocampus (DH), and anterior cingulate cortex (ACC), which are involved in processing contextual memories, and analyzed for changes in intra-regional power and inter-regional peak coherence of oscillations across multiple frequency bands. Context encoding and memory retrieval sessions yielded similar patterns of changes across all three structures, including decreased delta power and increased theta peak coherence. Baseline effects of MK-801 and SCOP were primarily targeted to gamma oscillations, but in opposite directions. Both drugs also blocked memory retrieval, as indicated by reduced freezing when mice were returned to the conditioning context, but this common behavioral impairment was only associated with power and peak coherence disruptions after MK-801 treatment. These findings point to neural signatures for memory impairment, whose underlying mechanisms may serve as therapeutic targets for related psychiatric disorders.
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Affiliation(s)
- Adam M P Miller
- Department of Psychology, Cornell University, Ithaca, NY 14853, United States
| | - Brendan J Frick
- Department of Psychiatry and Behavioral Sciences, The Asher Center for the Study and Treatment of Depressive Disorders, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States
| | - David M Smith
- Department of Psychology, Cornell University, Ithaca, NY 14853, United States
| | - Jelena Radulovic
- Department of Psychiatry and Behavioral Sciences, The Asher Center for the Study and Treatment of Depressive Disorders, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States
| | - Kevin A Corcoran
- Department of Psychiatry and Behavioral Sciences, The Asher Center for the Study and Treatment of Depressive Disorders, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States.
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117
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Sakai K. Are there Sleep-promoting Neurons in the Mouse Parafacial Zone? Neuroscience 2017; 367:98-109. [PMID: 29111358 DOI: 10.1016/j.neuroscience.2017.10.026] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 10/17/2017] [Accepted: 10/22/2017] [Indexed: 11/25/2022]
Abstract
Although recent studies have reported that gamma-aminobutyric acid (GABA) neurons in the parafacial zone (PZ) of the rostral medulla are needed for the induction of slow-wave sleep (SWS) and that the PZ is a medullary SWS-promoting center, it remains unknown whether the PZ contains SWS-active or sleep-promoting neurons. In the present study, a total of 125 neurons were recorded, for the first time, in non-anesthetized, head-restrained mice during the complete wake-sleep cycle throughout the PZ of the rostral medulla. The vast majority (87.2%) of the neurons displayed increased activity during both wakefulness (W) and paradoxical (or rapid eye movement) sleep (PS) compared to during SWS (W/PS-active neurons) and a few (8.0%) discharged phasically and selectively during PS (PS-active neurons), but none discharged maximally during SWS (SWS-active neurons) or displayed a higher rate of spontaneous discharge during both SWS and PS than during W (SWS/PS-active neurons). These findings do not support the view that the GABAergic PZ is a medullary SWS-promoting center.
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Affiliation(s)
- K Sakai
- Integrative Physiology of the Brain Arousal System, Lyon Neuroscience Research Center, INSERM U1028-CNRS UMR5292, School of Medicine, Claude Bernard University, F-69373 Lyon, France.
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Holst SC, Sousek A, Hefti K, Saberi-Moghadam S, Buck A, Ametamey SM, Scheidegger M, Franken P, Henning A, Seifritz E, Tafti M, Landolt HP. Cerebral mGluR5 availability contributes to elevated sleep need and behavioral adjustment after sleep deprivation. eLife 2017; 6:28751. [PMID: 28980941 PMCID: PMC5644949 DOI: 10.7554/elife.28751] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Accepted: 10/04/2017] [Indexed: 12/16/2022] Open
Abstract
Increased sleep time and intensity quantified as low-frequency brain electrical activity after sleep loss demonstrate that sleep need is homeostatically regulated, yet the underlying molecular mechanisms remain elusive. We here demonstrate that metabotropic glutamate receptors of subtype 5 (mGluR5) contribute to the molecular machinery governing sleep-wake homeostasis. Using positron emission tomography, magnetic resonance spectroscopy, and electroencephalography in humans, we find that increased mGluR5 availability after sleep loss tightly correlates with behavioral and electroencephalographic biomarkers of elevated sleep need. These changes are associated with altered cortical myo-inositol and glycine levels, suggesting sleep loss-induced modifications downstream of mGluR5 signaling. Knock-out mice without functional mGluR5 exhibit severe dysregulation of sleep-wake homeostasis, including lack of recovery sleep and impaired behavioral adjustment to a novel task after sleep deprivation. The data suggest that mGluR5 contribute to the brain's coping mechanisms with sleep deprivation and point to a novel target to improve disturbed wakefulness and sleep.
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Affiliation(s)
- Sebastian C Holst
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland.,CRPP Sleep and Health, Zürich Center for Interdisciplinary Sleep Research, University of Zürich, Zürich, Switzerland
| | - Alexandra Sousek
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland.,Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Katharina Hefti
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | | | - Alfred Buck
- Division of Nuclear Medicine, University Hospital Zürich, Zürich, Switzerland
| | - Simon M Ametamey
- Center for Radiopharmaceutical Sciences of ETH, Zürich, Switzerland.,Paul Scherrer Institut, Zürich, Switzerland.,University Hospital of Zürich, Zürich, Switzerland
| | - Milan Scheidegger
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zürich, Zürich, Switzerland.,Institute for Biomedical Engineering, University of Zürich and ETH Zürich, Zürich, Switzerland
| | - Paul Franken
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Anke Henning
- Center for Radiopharmaceutical Sciences of ETH, Zürich, Switzerland.,Paul Scherrer Institut, Zürich, Switzerland.,University Hospital of Zürich, Zürich, Switzerland
| | - Erich Seifritz
- CRPP Sleep and Health, Zürich Center for Interdisciplinary Sleep Research, University of Zürich, Zürich, Switzerland.,Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zürich, Zürich, Switzerland
| | - Mehdi Tafti
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.,Department of Physiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Hans-Peter Landolt
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland.,CRPP Sleep and Health, Zürich Center for Interdisciplinary Sleep Research, University of Zürich, Zürich, Switzerland
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119
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Bersagliere A, Pascual-Marqui RD, Tarokh L, Achermann P. Mapping Slow Waves by EEG Topography and Source Localization: Effects of Sleep Deprivation. Brain Topogr 2017; 31:257-269. [PMID: 28983703 DOI: 10.1007/s10548-017-0595-6] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Accepted: 09/18/2017] [Indexed: 11/26/2022]
Abstract
Slow waves are a salient feature of the electroencephalogram (EEG) during non-rapid eye movement (non-REM) sleep. The aim of this study was to assess the topography of EEG power and the activation of brain structures during slow wave sleep under normal conditions and after sleep deprivation. Sleep EEG recordings during baseline and recovery sleep after 40 h of sustained wakefulness were analyzed (eight healthy young men, 27 channel EEG). Power maps were computed for the first non-REM sleep episode (where sleep pressure is highest) in baseline and recovery sleep, at frequencies between 0.5 and 2 Hz. Power maps had a frontal predominance at all frequencies between 0.5 and 2 Hz. An additional occipital focus of activity was observed below 1 Hz. Power maps ≤ 1 Hz were not affected by sleep deprivation, whereas an increase in power was observed in the maps ≥ 1.25 Hz. Based on the response to sleep deprivation, low-delta (0.5-1 Hz) and mid-delta activity (1.25-2 Hz) were dissociated. Electrical sources within the cortex of low- and mid-delta activity were estimated using eLORETA. Source localization revealed a predominantly frontal distribution of activity for low-delta and mid-delta activity. Sleep deprivation resulted in an increase in source strength only for mid-delta activity, mainly in parietal and frontal regions. Low-delta activity dominated in occipital and temporal regions and mid-delta activity in limbic and frontal regions independent of the level of sleep pressure. Both, power maps and electrical sources exhibited trait-like aspects.
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Affiliation(s)
- Alessia Bersagliere
- Institute of Pharmacology and Toxicology, University of Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Roberto D Pascual-Marqui
- The KEY Institute for Brain-Mind Research, Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry, Zurich, Switzerland
| | - Leila Tarokh
- Institute of Pharmacology and Toxicology, University of Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Peter Achermann
- Institute of Pharmacology and Toxicology, University of Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland.
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland.
- The KEY Institute for Brain-Mind Research, Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry, Zurich, Switzerland.
- Zurich Center for Interdisciplinary Sleep Research, University of Zurich, Zurich, Switzerland.
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland.
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120
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Schwalm M, Schmid F, Wachsmuth L, Backhaus H, Kronfeld A, Aedo Jury F, Prouvot PH, Fois C, Albers F, van Alst T, Faber C, Stroh A. Cortex-wide BOLD fMRI activity reflects locally-recorded slow oscillation-associated calcium waves. eLife 2017; 6:27602. [PMID: 28914607 PMCID: PMC5658067 DOI: 10.7554/elife.27602] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Accepted: 09/14/2017] [Indexed: 01/08/2023] Open
Abstract
Spontaneous slow oscillation-associated slow wave activity represents an internally generated state which is characterized by alternations of network quiescence and stereotypical episodes of neuronal activity - slow wave events. However, it remains unclear which macroscopic signal is related to these active periods of the slow wave rhythm. We used optic fiber-based calcium recordings of local neural populations in cortex and thalamus to detect neurophysiologically defined slow calcium waves in isoflurane anesthetized rats. The individual slow wave events were used for an event-related analysis of simultaneously acquired whole-brain BOLD fMRI. We identified BOLD responses directly related to onsets of slow calcium waves, revealing a cortex-wide BOLD correlate: the entire cortex was engaged in this specific type of slow wave activity. These findings demonstrate a direct relation of defined neurophysiological events to a specific BOLD activity pattern and were confirmed for ongoing slow wave activity by independent component and seed-based analyses. When a person is in a deep non-dreaming sleep, neurons in their brain alternate slowly between periods of silence and periods of activity. This gives rise to low-frequency brain rhythms called slow waves, which are thought to help stabilize memories. Slow wave activity can be detected on multiple scales, from the pattern of electrical impulses sent by an individual neuron to the collective activity of the brain’s entire outer layer, the cortex. But does slow wave activity in an individual group of neurons in the cortex affect the activity of the rest of the brain? To find out, Schwalm, Schmid, Wachsmuth et al. took advantage of the fact that slow waves also occur under general anesthesia, and placed anesthetized rats inside miniature whole-brain scanners. A small region of cortex in each rat had been injected with a dye that fluoresces whenever the neurons in that region are active. An optical fiber was lowered into the rat’s brain to transmit the fluorescence signals to a computer. Monitoring these signals while the animals lay inside the scanner revealed that slow-wave activity in any one group of cortical neurons was accompanied by slow-wave activity across the cortex as a whole. This relationship was seen only for slow waves, and not for other brain rhythms. Slow waves seem to occur in all species of animal with a backbone, and in both healthy and diseased brains. While it is not possible to inject fluorescent dyes into the human brain, it is possible to monitor neuronal activity using electrodes. Comparing local electrode recordings with measures of whole-brain activity from scanners could thus allow similar experiments to be performed in people. There is growing evidence – from animal models and from studies of patients – that slow waves may be altered in Alzheimer’s disease. Further work is required to determine whether detecting these changes could help diagnose disease at earlier stages, and whether reversing them may have therapeutic potential.
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Affiliation(s)
- Miriam Schwalm
- Focus Program Translational Neurosciences, Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg-University Mainz, Mainz, Germany.,GRADE Brain, Goethe Graduate Academy, Goethe University Frankfurt am Main, Frankfurt, Germany
| | - Florian Schmid
- Department of Clinical Radiology, University Hospital Münster, Münster, Germany
| | - Lydia Wachsmuth
- Department of Clinical Radiology, University Hospital Münster, Münster, Germany
| | - Hendrik Backhaus
- Focus Program Translational Neurosciences, Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Andrea Kronfeld
- Focus Program Translational Neurosciences, Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Felipe Aedo Jury
- Focus Program Translational Neurosciences, Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Pierre-Hugues Prouvot
- Focus Program Translational Neurosciences, Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Consuelo Fois
- Focus Program Translational Neurosciences, Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Franziska Albers
- Department of Clinical Radiology, University Hospital Münster, Münster, Germany
| | - Timo van Alst
- Department of Clinical Radiology, University Hospital Münster, Münster, Germany
| | - Cornelius Faber
- Department of Clinical Radiology, University Hospital Münster, Münster, Germany
| | - Albrecht Stroh
- Focus Program Translational Neurosciences, Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg-University Mainz, Mainz, Germany
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121
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Goldstone A, Willoughby AR, de Zambotti M, Franzen PL, Kwon D, Pohl KM, Pfefferbaum A, Sullivan EV, Müller-Oehring EM, Prouty DE, Hasler BP, Clark DB, Colrain IM, Baker FC. The mediating role of cortical thickness and gray matter volume on sleep slow-wave activity during adolescence. Brain Struct Funct 2017; 223:669-685. [PMID: 28913599 DOI: 10.1007/s00429-017-1509-9] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 09/01/2017] [Indexed: 12/01/2022]
Abstract
During the course of adolescence, reductions occur in cortical thickness and gray matter (GM) volume, along with a 65% reduction in slow-wave (delta) activity during sleep (SWA) but empirical data linking these structural brain and functional sleep differences, is lacking. Here, we investigated specifically whether age-related differences in cortical thickness and GM volume and cortical thickness accounted for the typical age-related difference in slow-wave (delta) activity (SWA) during sleep. 132 healthy participants (age 12-21 years) from the National Consortium on Alcohol and NeuroDevelopment in Adolescence study were included in this cross-sectional analysis of baseline polysomnographic, electroencephalographic, and magnetic resonance imaging data. By applying mediation models, we identified a large, direct effect of age on SWA in adolescents, which explained 45% of the variance in ultra-SWA (0.3-1 Hz) and 52% of the variance in delta-SWA (1 to <4 Hz), where SWA was lower in older adolescents, as has been reported previously. In addition, we provide evidence that the structure of several, predominantly frontal, and parietal brain regions, partially mediated this direct age effect, models including measures of brain structure explained an additional 3-9% of the variance in ultra-SWA and 4-5% of the variance in delta-SWA, with no differences between sexes. Replacing age with pubertal status in models produced similar results. As reductions in GM volume and cortical thickness likely indicate synaptic pruning and myelination, these results suggest that diminished SWA in older, more mature adolescents may largely be driven by such processes within a number of frontal and parietal brain regions.
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Affiliation(s)
- Aimée Goldstone
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Adrian R Willoughby
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Massimiliano de Zambotti
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Peter L Franzen
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Dongjin Kwon
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Kilian M Pohl
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Adolf Pfefferbaum
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Eva M Müller-Oehring
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Devin E Prouty
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Brant P Hasler
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Duncan B Clark
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ian M Colrain
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Fiona C Baker
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA. .,Brain Function Research Group, School of Physiology, University of Witwatersrand, Johannesburg, South Africa.
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122
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Meyer MAA, Corcoran KA, Chen HJ, Gallego S, Li G, Tiruveedhula VV, Cook JM, Radulovic J. Neurobiological correlates of state-dependent context fear. ACTA ACUST UNITED AC 2017; 24:385-391. [PMID: 28814463 PMCID: PMC5580530 DOI: 10.1101/lm.045542.117] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 06/07/2017] [Indexed: 12/02/2022]
Abstract
Retrieval of fear memories can be state-dependent, meaning that they are best retrieved if the brain states at encoding and retrieval are similar. Such states can be induced by activating extrasynaptic γ-aminobutyric acid type A receptors (GABAAR) with the broad α-subunit activator gaboxadol. However, the circuit mechanisms and specific subunits underlying gaboxadol's effects are not well understood. Here we show that gaboxadol induces profound changes of local and network oscillatory activity, indicative of discoordinated hippocampal–cortical activity, that were accompanied by robust and long-lasting state-dependent conditioned fear. Episodic memories typically are hippocampus-dependent for a limited period after learning, but become cortex-dependent with the passage of time. In contrast, state-dependent memories continued to rely on hippocampal GABAergic mechanisms for memory retrieval. Pharmacological approaches with α-subunit-specific agonists targeting the hippocampus implicated the prototypic extrasynaptic subunits (α4) as the mediator of state-dependent conditioned fear. Together, our findings suggest that continued dependence on hippocampal rather than cortical mechanisms could be an important feature of state-dependent memories that contributes to their conditional retrieval.
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Affiliation(s)
- Mariah A A Meyer
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, Illinois 60611, USA
| | - Kevin A Corcoran
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, Illinois 60611, USA
| | - Helen J Chen
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, Illinois 60611, USA
| | - Sonia Gallego
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, Illinois 60611, USA
| | - Guanguan Li
- Department of Chemistry and Biochemistry, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53211, USA
| | - Veda V Tiruveedhula
- Department of Chemistry and Biochemistry, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53211, USA
| | - James M Cook
- Department of Chemistry and Biochemistry, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53211, USA
| | - Jelena Radulovic
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, Illinois 60611, USA
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123
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Anaclet C, Fuller PM. Brainstem regulation of slow-wave-sleep. Curr Opin Neurobiol 2017; 44:139-143. [PMID: 28500870 DOI: 10.1016/j.conb.2017.04.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 04/04/2017] [Accepted: 04/10/2017] [Indexed: 11/19/2022]
Abstract
Recent work has helped reconcile puzzling results from brainstem transection studies first performed over 60 years ago, which suggested the existence of a sleep-promoting system in the medullary brainstem. It was specifically shown that GABAergic neurons located in the medullary brainstem parafacial zone (PZGABA) are not only necessary for normal slow-wave-sleep (SWS) but that their selective activation is sufficient to induce SWS in behaving animals. In this review we discuss early experimental findings that inspired the hypothesis that the caudal brainstem contained SWS-promoting circuitry. We then describe the discovery of the SWS-promoting PZGABA and discuss future experimental priorities.
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Affiliation(s)
- Christelle Anaclet
- Department of Neurology, Beth Israel Deaconess Medical Center, Division of Sleep Medicine, Harvard Medical School, Boston, MA 02215, United States; Department of Neurobiology, University of Massachusetts Medical School, Worcester, MA 01605, United States.
| | - Patrick M Fuller
- Department of Neurology, Beth Israel Deaconess Medical Center, Division of Sleep Medicine, Harvard Medical School, Boston, MA 02215, United States.
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124
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Chen Z, Wilson MA. Deciphering Neural Codes of Memory during Sleep. Trends Neurosci 2017; 40:260-275. [PMID: 28390699 PMCID: PMC5434457 DOI: 10.1016/j.tins.2017.03.005] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 03/13/2017] [Accepted: 03/14/2017] [Indexed: 02/07/2023]
Abstract
Memories of experiences are stored in the cerebral cortex. Sleep is critical for the consolidation of hippocampal memory of wake experiences into the neocortex. Understanding representations of neural codes of hippocampal-neocortical networks during sleep would reveal important circuit mechanisms in memory consolidation and provide novel insights into memory and dreams. Although sleep-associated ensemble spike activity has been investigated, identifying the content of memory in sleep remains challenging. Here we revisit important experimental findings on sleep-associated memory (i.e., neural activity patterns in sleep that reflect memory processing) and review computational approaches to the analysis of sleep-associated neural codes (SANCs). We focus on two analysis paradigms for sleep-associated memory and propose a new unsupervised learning framework ('memory first, meaning later') for unbiased assessment of SANCs.
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Affiliation(s)
- Zhe Chen
- Department of Psychiatry, Department of Neuroscience and Physiology, New York University School of Medicine, New York, NY 10016, USA.
| | - Matthew A Wilson
- Department of Brain and Cognitive Sciences, Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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125
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Fogel S, Albouy G, King BR, Lungu O, Vien C, Bore A, Pinsard B, Benali H, Carrier J, Doyon J. Reactivation or transformation? Motor memory consolidation associated with cerebral activation time-locked to sleep spindles. PLoS One 2017; 12:e0174755. [PMID: 28422976 PMCID: PMC5396873 DOI: 10.1371/journal.pone.0174755] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Accepted: 03/14/2017] [Indexed: 01/03/2023] Open
Abstract
Motor memory consolidation is thought to depend on sleep-dependent reactivation of brain areas recruited during learning. However, up to this point, there has been no direct evidence to support this assertion in humans, and the physiological processes supporting such reactivation are unknown. Here, simultaneous electroencephalographic and functional magnetic resonance imaging (EEG-fMRI) recordings were conducted during post-learning sleep to directly investigate the spindle-related reactivation of a memory trace formed during motor sequence learning (MSL), and its relationship to overnight enhancement in performance (reflecting consolidation). We show that brain regions within the striato-cerebello-cortical network recruited during training on the MSL task, and in particular the striatum, were also activated during sleep, time-locked to spindles. Interestingly, the consolidated trace in the striatum was not simply strengthened, but was transformed/reorganized from rostrodorsal (associative) to caudoventral (sensorimotor) subregions. Moreover, the degree of the reactivation was correlated with overnight improvements in performance. Altogether, the present findings demonstrate that striatal reactivation linked to sleep spindles in the post-learning night, is related to motor memory consolidation.
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Affiliation(s)
- Stuart Fogel
- Functional Neuroimaging Unit, Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
- Department of Psychology, University of Montreal, Montreal, Quebec, Canada
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
- University of Ottawa Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada
- University of Ottawa Brain & Mind Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Genevieve Albouy
- Functional Neuroimaging Unit, Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
- Department of Psychology, University of Montreal, Montreal, Quebec, Canada
| | - Bradley R. King
- Functional Neuroimaging Unit, Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
- Department of Psychology, University of Montreal, Montreal, Quebec, Canada
| | - Ovidiu Lungu
- Functional Neuroimaging Unit, Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
| | - Catherine Vien
- Functional Neuroimaging Unit, Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
- Department of Psychology, University of Montreal, Montreal, Quebec, Canada
| | - Arnaud Bore
- Functional Neuroimaging Unit, Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
| | - Basile Pinsard
- Functional Neuroimaging Unit, Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
- Department of Psychology, University of Montreal, Montreal, Quebec, Canada
| | - Habib Benali
- Functional Neuroimaging Unit, Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
- Functional Neuroimaging Laboratory, INSERM, Paris, France
| | - Julie Carrier
- Functional Neuroimaging Unit, Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
- Centre D’études Avancées en Médecine du Sommeil, Hôpital du Sacré-Cœur de Montréal, Montréal, Quebec, Canada
| | - Julien Doyon
- Functional Neuroimaging Unit, Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
- Department of Psychology, University of Montreal, Montreal, Quebec, Canada
- * E-mail:
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126
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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: 98] [Impact Index Per Article: 14.0] [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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127
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Mollayeva T, Colantonio A, Cassidy JD, Vernich L, Moineddin R, Shapiro CM. Sleep stage distribution in persons with mild traumatic brain injury: a polysomnographic study according to American Academy of Sleep Medicine standards. Sleep Med 2017; 34:179-192. [PMID: 28522089 DOI: 10.1016/j.sleep.2017.02.021] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 02/28/2017] [Indexed: 12/20/2022]
Abstract
OBJECTIVE AND BACKGROUND Sleep stage disruption in persons with mild traumatic brain injury (mTBI) has received little research attention. We examined deviations in sleep stage distribution in persons with mTBI relative to population age- and sex-specific normative data and the relationships between such deviations and brain injury-related, medical/psychiatric, and extrinsic factors. PATIENTS AND METHODS We conducted a cross-sectional polysomnographic investigation in 40 participants diagnosed with mTBI (mean age 47.54 ± 11.30 years; 56% males). MEASUREMENTS At the time of investigation, participants underwent comprehensive clinical and neuroimaging examinations and one full-night polysomnographic study. We used the 2012 American Academy of Sleep Medicine recommendations for recording, scoring, and summarizing sleep stages. We compared participants' sleep stage data with normative data stratified by age and sex to yield z-scores for deviations from available population norms and then employed stepwise multiple regression analyses to determine the factors associated with the identified significant deviations. RESULTS In patients with mTBI, the mean duration of nocturnal wakefulness was higher and consolidated sleep stage N2 and REM were lower than normal (p < 0.0001, p = 0.018, and p = 0.010, respectively). In multivariate regression analysis, several covariates accounted for the variance in the relative changes in sleep stage duration. No sex differences were observed in the mean proportion of non-REM or REM sleep. CONCLUSIONS We observed longer relative nocturnal wakefulness and shorter relative N2 and REM sleep in patients with mTBI, and these outcomes were associated with potentially modifiable variables. Addressing disruptions in sleep architecture in patients with mTBI could improve their health status.
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Affiliation(s)
- Tatyana Mollayeva
- Rehabilitation Sciences Institute, Faculty of Medicine, University of Toronto, Canada; Collaborative Program in Neuroscience, University of Toronto, Canada; Toronto Rehab-University Health Network, Ontario, Canada.
| | - Angela Colantonio
- Rehabilitation Sciences Institute, Faculty of Medicine, University of Toronto, Canada; Acquired Brain Injury Research Lab, University of Toronto, Canada; Department of Occupational Science and Occupational Therapy, University of Toronto, Ontario, Canada
| | - J David Cassidy
- Division of Health Care and Outcomes Research, Krembil Research Institute, University Health Network, Canada; Division of Epidemiology, Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada
| | - Lee Vernich
- Division of Epidemiology, Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada
| | - Rahim Moineddin
- Division of Epidemiology, Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada
| | - Colin M Shapiro
- Faculty of Arts and Science, University of Toronto, Canada; Toronto Western Hospital, University Health Network, Ontario, Canada; Youthdale Child & Adolescent Sleep Clinic, Ontario, Canada
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128
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Mapping visual dominance in human sleep. Neuroimage 2017; 150:250-261. [PMID: 28232191 DOI: 10.1016/j.neuroimage.2017.02.053] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Revised: 02/15/2017] [Accepted: 02/19/2017] [Indexed: 12/19/2022] Open
Abstract
Sleep is a universal behavior, essential for humans and animals alike to survive. Its importance to a person's physical and mental health cannot be overstated. Although lateralization of function is well established in the lesion, split-brain and task based neuroimaging literature, and more recently in functional imaging studies of spontaneous fluctuations of the fMRI BOLD signal during wakeful rest, it is unknown if these asymmetries are present during sleep. We investigated hemispheric asymmetries in the global brain signal during non-REM sleep. Here we show that increasing sleep depth is accompanied by an increasing rightward asymmetry of regions in visual cortex including primary bilaterally and in the right hemisphere along the lingual gyrus and middle temporal cortex. In addition, left hemisphere language regions largely maintained their leftward asymmetry during sleep. Right hemisphere attention related regions expressed a more complicated relation with some regions maintaining a rightward asymmetry while this was lost in others. These results suggest that asymmetries in the human brain are state dependent.
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129
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Schartner MM, Pigorini A, Gibbs SA, Arnulfo G, Sarasso S, Barnett L, Nobili L, Massimini M, Seth AK, Barrett AB. Global and local complexity of intracranial EEG decreases during NREM sleep. Neurosci Conscious 2017; 2017:niw022. [PMID: 30042832 PMCID: PMC6007155 DOI: 10.1093/nc/niw022] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 09/20/2016] [Accepted: 11/19/2016] [Indexed: 11/13/2022] Open
Abstract
Key to understanding the neuronal basis of consciousness is the characterization of the neural signatures of changes in level of consciousness during sleep. Here we analysed three measures of dynamical complexity on spontaneous depth electrode recordings from 10 epilepsy patients during wakeful rest (WR) and different stages of sleep: (i) Lempel-Ziv complexity, which is derived from how compressible the data are; (ii) amplitude coalition entropy, which measures the variability over time of the set of channels active above a threshold; (iii) synchrony coalition entropy, which measures the variability over time of the set of synchronous channels. When computed across sets of channels that are broadly distributed across multiple brain regions, all three measures decreased substantially in all participants during early-night non-rapid eye movement (NREM) sleep. This decrease was partially reversed during late-night NREM sleep, while the measures scored similar to WR during rapid eye movement (REM) sleep. This global pattern was in almost all cases mirrored at the local level by groups of channels located in a single region. In testing for differences between regions, we found elevated signal complexity in the frontal lobe. These differences could not be attributed solely to changes in spectral power between conditions. Our results provide further evidence that the level of consciousness correlates with neural dynamical complexity.
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Affiliation(s)
- Michael M Schartner
- Sackler Centre for Consciousness Science and School of Engineering and Informatics, University of Sussex, Brighton, UK
| | - Andrea Pigorini
- Dipartimento di Scienze Biomediche e Cliniche ‘L. Sacco’, Universitá degli Studi di Milano, Milan, Italy
| | - Steve A Gibbs
- Niguarda Hospital, C. Munari Center of Epilepsy Surgery, Milan, Italy
| | - Gabriele Arnulfo
- Deparment of Informatics and Engineering (DIBRIS), University of Genoa, Italy
| | - Simone Sarasso
- Dipartimento di Scienze Biomediche e Cliniche ‘L. Sacco’, Universitá degli Studi di Milano, Milan, Italy
| | - Lionel Barnett
- Sackler Centre for Consciousness Science and School of Engineering and Informatics, University of Sussex, Brighton, UK
| | - Lino Nobili
- Niguarda Hospital, C. Munari Center of Epilepsy Surgery, Milan, Italy
| | - Marcello Massimini
- Dipartimento di Scienze Biomediche e Cliniche ‘L. Sacco’, Universitá degli Studi di Milano, Milan, Italy
- Istituto di Ricovero e Cura a Carattere Scientifico, Fondazione Don Gnocchi Onlus, Milan, Italy
| | - Anil K Seth
- Sackler Centre for Consciousness Science and School of Engineering and Informatics, University of Sussex, Brighton, UK
| | - Adam B Barrett
- Sackler Centre for Consciousness Science and School of Engineering and Informatics, University of Sussex, Brighton, UK
- Dipartimento di Scienze Biomediche e Cliniche ‘L. Sacco’, Universitá degli Studi di Milano, Milan, Italy
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130
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Functional MRI Correlates of Resting-State Temporal Theta and Delta EEG Rhythms. J Clin Neurophysiol 2017; 34:69-76. [DOI: 10.1097/wnp.0000000000000309] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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131
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Evidence of trace conditioning in comatose patients revealed by the reactivation of EEG responses to alerting sounds. Neuroimage 2016; 141:530-541. [DOI: 10.1016/j.neuroimage.2016.07.039] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Revised: 06/08/2016] [Accepted: 07/17/2016] [Indexed: 11/20/2022] Open
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132
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Barardi A, Garcia-Ojalvo J, Mazzoni A. Transition between Functional Regimes in an Integrate-And-Fire Network Model of the Thalamus. PLoS One 2016; 11:e0161934. [PMID: 27598260 PMCID: PMC5012668 DOI: 10.1371/journal.pone.0161934] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Accepted: 08/15/2016] [Indexed: 01/07/2023] Open
Abstract
The thalamus is a key brain element in the processing of sensory information. During the sleep and awake states, this brain area is characterized by the presence of two distinct dynamical regimes: in the sleep state activity is dominated by spindle oscillations (7 − 15 Hz) weakly affected by external stimuli, while in the awake state the activity is primarily driven by external stimuli. Here we develop a simple and computationally efficient model of the thalamus that exhibits two dynamical regimes with different information-processing capabilities, and study the transition between them. The network model includes glutamatergic thalamocortical (TC) relay neurons and GABAergic reticular (RE) neurons described by adaptive integrate-and-fire models in which spikes are induced by either depolarization or hyperpolarization rebound. We found a range of connectivity conditions under which the thalamic network composed by these neurons displays the two aforementioned dynamical regimes. Our results show that TC-RE loops generate spindle-like oscillations and that a minimum level of clustering (i.e. local connectivity density) in the RE-RE connections is necessary for the coexistence of the two regimes. We also observe that the transition between the two regimes occurs when the external excitatory input on TC neurons (mimicking sensory stimulation) is large enough to cause a significant fraction of them to switch from hyperpolarization-rebound-driven firing to depolarization-driven firing. Overall, our model gives a novel and clear description of the role that the two types of neurons and their connectivity play in the dynamical regimes observed in the thalamus, and in the transition between them. These results pave the way for the development of efficient models of the transmission of sensory information from periphery to cortex.
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Affiliation(s)
- Alessandro Barardi
- Departament of Experimental and Health Sciences, Universitat Pompeu Fabra, Dr. Aiguader 88, 08003 Barcelona, Spain
- Departament de Física i Enginyeria Nuclear, Universitat Politècnica de Catalunya, Rambla Sant Nebridi 22, 08222 Terrassa, Spain
| | - Jordi Garcia-Ojalvo
- Departament of Experimental and Health Sciences, Universitat Pompeu Fabra, Dr. Aiguader 88, 08003 Barcelona, Spain
- * E-mail: (JGO); (AM)
| | - Alberto Mazzoni
- The BioRobotics Institute, Scuola Superiore Sant’Anna, Pontedera, 56026, Italy
- * E-mail: (JGO); (AM)
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133
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Waters F, Blom JD, Dang-Vu TT, Cheyne AJ, Alderson-Day B, Woodruff P, Collerton D. What Is the Link Between Hallucinations, Dreams, and Hypnagogic-Hypnopompic Experiences? Schizophr Bull 2016; 42:1098-109. [PMID: 27358492 PMCID: PMC4988750 DOI: 10.1093/schbul/sbw076] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
By definition, hallucinations occur only in the full waking state. Yet similarities to sleep-related experiences such as hypnagogic and hypnopompic hallucinations, dreams and parasomnias, have been noted since antiquity. These observations have prompted researchers to suggest a common aetiology for these phenomena based on the neurobiology of rapid eye movement (REM) sleep. With our recent understanding of hallucinations in different population groups and at the neurobiological, cognitive and interpersonal levels, it is now possible to draw comparisons between the 2 sets of experiences as never before. In the current article, we make detailed comparisons between sleep-related experiences and hallucinations in Parkinson's disease, schizophrenia and eye disease, at the levels of phenomenology (content, sensory modalities involved, perceptual attributes) and of brain function (brain activations, resting-state networks, neurotransmitter action). Findings show that sleep-related experiences share considerable overlap with hallucinations at the level of subjective descriptions and underlying brain mechanisms. Key differences remain however: (1) Sleep-related perceptions are immersive and largely cut off from reality, whereas hallucinations are discrete and overlaid on veridical perceptions; and (2) Sleep-related perceptions involve only a subset of neural networks implicated in hallucinations, reflecting perceptual signals processed in a functionally and cognitively closed-loop circuit. In summary, both phenomena are non-veridical perceptions that share some phenomenological and neural similarities, but insufficient evidence exists to fully support the notion that the majority of hallucinations depend on REM processes or REM intrusions into waking consciousness.
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Affiliation(s)
- Flavie Waters
- Clinical Research Centre, Graylands Hospital, North Metro Health Service Mental Health, Perth, Australia; School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, Australia;
| | | | - Thien Thanh Dang-Vu
- Center for Studies in Behavioral Neurobiology, PERFORM Center and Department of Exercise Science, Concordia University; and Centre de Recherches de l’Institut Universitaire de Gériatrie de Montréal and Department of Neurosciences, University of Montreal, Montreal, QC, Canada
| | - Allan J. Cheyne
- Department of Psychology, University of Waterloo, Waterloo, ON, Canada
| | | | - Peter Woodruff
- University of Sheffield, UK, Hamad Medical Corporation, Doha, Qatar
| | - Daniel Collerton
- Clinical Psychology, Northumberland, Tyne and Wear NHS Foundation Trust, and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
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134
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Wakai RT, Lutter WJ. Slow rhythms and sleep spindles in early infancy. Neurosci Lett 2016; 630:164-168. [PMID: 27476101 DOI: 10.1016/j.neulet.2016.07.051] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Revised: 07/17/2016] [Accepted: 07/25/2016] [Indexed: 10/21/2022]
Abstract
OBJECTIVE To investigate the slow rhythm and its relationship to spindling in early infancy. METHODS We analyzed sleep MEG recordings containing sleep spindles, taken from 7 normal, healthy subjects at conceptional age 46-63 weeks in 21 sessions. RESULTS We show that the sleep MEG in early infancy contains a slow rhythm, centered at approximately 0.2Hz, which showed a striking association with spindling. The slow rhythm grouped sleep spindles, which were clock-like with a recurrence rate of approximately 0.1Hz. CONCLUSIONS The association of the 0.2Hz oscillation and low delta rhythms with spindling was so strong as to suggest that they may play a critical role during brain development in the genesis of sleep spindles. SIGNIFICANCE Infant brain rhythms exhibit relatively simple, regular behavior, allowing the relationships between them to be more easily discerned.
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Affiliation(s)
- R T Wakai
- Dept. of Medical Physics University of Wisconsin-Madison, Madison, WI 53705-2275, USA.
| | - W J Lutter
- Dept. of Medical Physics University of Wisconsin-Madison, Madison, WI 53705-2275, USA
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135
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The occurrence of individual slow waves in sleep is predicted by heart rate. Sci Rep 2016; 6:29671. [PMID: 27445083 PMCID: PMC4957222 DOI: 10.1038/srep29671] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Accepted: 06/21/2016] [Indexed: 12/20/2022] Open
Abstract
The integration of near-infrared spectroscopy and electroencephalography measures presents an ideal method to study the haemodynamics of sleep. While the cortical dynamics and neuro-modulating influences affecting the transition from wakefulness to sleep is well researched, the assumption has been that individual slow waves, the hallmark of deep sleep, are spontaneously occurring cortical events. By creating event-related potentials from the NIRS recording, time-locked to the onset of thousands of individual slow waves, we show the onset of slow waves is phase-locked to an ongoing oscillation in the NIRS recording. This oscillation stems from the moment to moment fluctuations of light absorption caused by arterial pulsations driven by the heart beat. The same oscillating signal can be detected if the electrocardiogram is time-locked to the onset of the slow wave. The ongoing NIRS oscillation suggests that individual slow wave initiation is dependent on that signal, and not the other way round. However, the precise causal links remain speculative. We propose several potential mechanisms: that the heart-beat or arterial pulsation acts as a stimulus which evokes a down-state; local fluctuations in energy supply may lead to a network effect of hyperpolarization; that the arterial pulsations lead to corresponding changes in the cerebral-spinal-fluid which evokes the slow wave; or that a third neural generator, regulating heart rate and slow waves may be involved.
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136
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Sleep Spindle Characteristics in Children with Neurodevelopmental Disorders and Their Relation to Cognition. Neural Plast 2016; 2016:4724792. [PMID: 27478646 PMCID: PMC4958463 DOI: 10.1155/2016/4724792] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2015] [Revised: 03/11/2016] [Accepted: 04/26/2016] [Indexed: 11/17/2022] Open
Abstract
Empirical evidence indicates that sleep spindles facilitate neuroplasticity and “off-line” processing during sleep, which supports learning, memory consolidation, and intellectual performance. Children with neurodevelopmental disorders (NDDs) exhibit characteristics that may increase both the risk for and vulnerability to abnormal spindle generation. Despite the high prevalence of sleep problems and cognitive deficits in children with NDD, only a few studies have examined the putative association between spindle characteristics and cognitive function. This paper reviews the literature regarding sleep spindle characteristics in children with NDD and their relation to cognition in light of what is known in typically developing children and based on the available evidence regarding children with NDD. We integrate available data, identify gaps in understanding, and recommend future research directions. Collectively, studies are limited by small sample sizes, heterogeneous populations with multiple comorbidities, and nonstandardized methods for collecting and analyzing findings. These limitations notwithstanding, the evidence suggests that future studies should examine associations between sleep spindle characteristics and cognitive function in children with and without NDD, and preliminary findings raise the intriguing question of whether enhancement or manipulation of sleep spindles could improve sleep-dependent memory and other aspects of cognitive function in this population.
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137
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Corsi-Cabrera M, Velasco F, Del Río-Portilla Y, Armony JL, Trejo-Martínez D, Guevara MA, Velasco AL. Human amygdala activation during rapid eye movements of rapid eye movement sleep: an intracranial study. J Sleep Res 2016; 25:576-582. [PMID: 27146713 DOI: 10.1111/jsr.12415] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Accepted: 03/12/2016] [Indexed: 02/06/2023]
Abstract
The amygdaloid complex plays a crucial role in processing emotional signals and in the formation of emotional memories. Neuroimaging studies have shown human amygdala activation during rapid eye movement sleep (REM). Stereotactically implanted electrodes for presurgical evaluation in epileptic patients provide a unique opportunity to directly record amygdala activity. The present study analysed amygdala activity associated with REM sleep eye movements on the millisecond scale. We propose that phasic activation associated with rapid eye movements may provide the amygdala with endogenous excitation during REM sleep. Standard polysomnography and stereo-electroencephalograph (SEEG) were recorded simultaneously during spontaneous sleep in the left amygdala of four patients. Time-frequency analysis and absolute power of gamma activity were obtained for 250 ms time windows preceding and following eye movement onset in REM sleep, and in spontaneous waking eye movements in the dark. Absolute power of the 44-48 Hz band increased significantly during the 250 ms time window after REM sleep rapid eye movements onset, but not during waking eye movements. Transient activation of the amygdala provides physiological support for the proposed participation of the amygdala in emotional expression, in the emotional content of dreams and for the reactivation and consolidation of emotional memories during REM sleep, as well as for next-day emotional regulation, and its possible role in the bidirectional interaction between REM sleep and such sleep disorders as nightmares, anxiety and post-traumatic sleep disorder. These results provide unique, direct evidence of increased activation of the human amygdala time-locked to REM sleep rapid eye movements.
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Affiliation(s)
- María Corsi-Cabrera
- Laboratorio de Sueño, Facultad de Psicología, Posgrado, Universidad Nacional Autónoma de México, México, México.
| | - Francisco Velasco
- Clínica de Epilepsia, Unidad de Neurocirugía Funcional, Estereotaxia y Radiocirugía, Hospital General de México, México, México
| | - Yolanda Del Río-Portilla
- Laboratorio de Sueño, Facultad de Psicología, Posgrado, Universidad Nacional Autónoma de México, México, México
| | - Jorge L Armony
- Department of Psychiatry and Douglas Health Institute, McGill University, Montreal, Canada
| | - David Trejo-Martínez
- Clínica de Epilepsia, Unidad de Neurocirugía Funcional, Estereotaxia y Radiocirugía, Hospital General de México, México, México
| | - Miguel A Guevara
- Instituto de Neurociencias, Universidad de Guadalajara, México, México
| | - Ana L Velasco
- Clínica de Epilepsia, Unidad de Neurocirugía Funcional, Estereotaxia y Radiocirugía, Hospital General de México, México, México
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138
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Abstract
Sleep is a complex physiological process that is regulated globally, regionally, and locally by both cellular and molecular mechanisms. It occurs to some extent in all animals, although sleep expression in lower animals may be co-extensive with rest. Sleep regulation plays an intrinsic part in many behavioral and physiological functions. Currently, all researchers agree there is no single physiological role sleep serves. Nevertheless, it is quite evident that sleep is essential for many vital functions including development, energy conservation, brain waste clearance, modulation of immune responses, cognition, performance, vigilance, disease, and psychological state. This review details the physiological processes involved in sleep regulation and the possible functions that sleep may serve. This description of the brain circuitry, cell types, and molecules involved in sleep regulation is intended to further the reader's understanding of the functions of sleep.
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Affiliation(s)
- Mark R. Zielinski
- Veterans Affairs Boston Healthcare System, West Roxbury, MA 02132, USA and Harvard Medical School, Department of Psychiatry
| | - James T. McKenna
- Veterans Affairs Boston Healthcare System, West Roxbury, MA 02132, USA and Harvard Medical School, Department of Psychiatry
| | - Robert W. McCarley
- Veterans Affairs Boston Healthcare System, Brockton, MA 02301, USA and Harvard Medical School, Department of Psychiatry
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139
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McClain IJ, Lustenberger C, Achermann P, Lassonde JM, Kurth S, LeBourgeois MK. Developmental Changes in Sleep Spindle Characteristics and Sigma Power across Early Childhood. Neural Plast 2016; 2016:3670951. [PMID: 27110405 PMCID: PMC4826705 DOI: 10.1155/2016/3670951] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2016] [Accepted: 03/01/2016] [Indexed: 11/17/2022] Open
Abstract
Sleep spindles, a prominent feature of the non-rapid eye movement (NREM) sleep electroencephalogram (EEG), are linked to cognitive abilities. Early childhood is a time of rapid cognitive and neurophysiological maturation; however, little is known about developmental changes in sleep spindles. In this study, we longitudinally examined trajectories of multiple sleep spindle characteristics (i.e., spindle duration, frequency, integrated spindle amplitude, and density) and power in the sigma frequency range (10-16 Hz) across ages 2, 3, and 5 years (n = 8; 3 males). At each time point, nocturnal sleep EEG was recorded in-home after 13-h of prior wakefulness. Spindle duration, integrated spindle amplitude, and sigma power increased with age across all EEG derivations (C3A2, C4A1, O2A1, and O1A2; all ps < 0.05). We also found a developmental decrease in mean spindle frequency (p < 0.05) but no change in spindle density with increasing age. Thus, sleep spindles increased in duration and amplitude but decreased in frequency across early childhood. Our data characterize early developmental changes in sleep spindles, which may advance understanding of thalamocortical brain connectivity and associated lifelong disease processes. These findings also provide unique insights into spindle ontogenesis in early childhood and may help identify electrophysiological features related to healthy and aberrant brain maturation.
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Affiliation(s)
- Ian J. McClain
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Caroline Lustenberger
- Child Development Center, University Children's Hospital Zurich, 8032 Zurich, Switzerland
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Peter Achermann
- Institute of Pharmacology and Toxicology, University of Zurich, 8057 Zurich, Switzerland
| | - Jonathan M. Lassonde
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Salome Kurth
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Monique K. LeBourgeois
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USA
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140
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Chee MW. Fragmented Sleep and Cortical Thinning in Old Adults: Time to Wake Up? Sleep 2016; 39:15-7. [DOI: 10.5665/sleep.5306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Accepted: 10/26/2015] [Indexed: 11/03/2022] Open
Affiliation(s)
- Michael W.L. Chee
- Centre for Cognitive Neuroscience, Duke-NUS Graduate Medical School, Singapore
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141
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Lim ASP, Fleischman DA, Dawe RJ, Yu L, Arfanakis K, Buchman AS, Bennett DA. Regional Neocortical Gray Matter Structure and Sleep Fragmentation in Older Adults. Sleep 2016; 39:227-35. [PMID: 26350471 DOI: 10.5665/sleep.5354] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2015] [Accepted: 07/24/2015] [Indexed: 12/31/2022] Open
Abstract
STUDY OBJECTIVES To test the hypothesis that greater sleep fragmentation is associated with regionally decreased cortical gray matter volume in older community-dwelling adults without cognitive impairment. METHODS We studied 141 community-dwelling older adults (median age 82.9; 73% female) without cognitive impairment or stroke, and not using sedative/ hypnotic medications, participating in the Rush Memory and Aging Project. We quantified sleep fragmentation from 7 d of actigraphy using the metric kRA and related this to total cortical gray matter volume, and regional gray matter volume in 34 cortical regions quantified by automated segmentation of magnetic resonance imaging data. We determined statistical significance and accounted for multiple comparisons by empirically estimating the false discovery rate by permutation. RESULTS Lower total cortical gray matter volume was associated with higher sleep fragmentation (coefficient +0.23, standard error [SE] 0.11, P = 0.037). Lower gray matter volumes in four cortical regions were accompanied by higher sleep fragmentation with a false discovery rate < 0.05: the left (coefficient +0.36, SE 0.10, P = 2.7 × 10(-4)) and right (coefficient +0.31, SE 0.10, P = 4.0 × 10(-3)) lateral orbitofrontal cortices, and the adjacent left (coefficient +0.31, SE 0.10, 5.4 × 10(-4)) and right (coefficient +0.39, SE 0.10, P = 1.2 × 10(-4)) inferior frontal gyri pars orbitalis. These associations were unchanged after accounting for age, sex, education, depression, cognitive function, and a number of medical comorbidities. CONCLUSIONS Lower cortical gray matter volume in the lateral orbitofrontal cortex and inferior frontal gyrus pars orbitalis is associated with greater sleep fragmentation in older community-dwelling adults. Further work is needed to clarify whether this is a consequence of or contributor to sleep fragmentation. COMMENTARY A commentary on this article appears in this issue on page 15.
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Affiliation(s)
- Andrew S P Lim
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Debra A Fleischman
- Rush Alzheimer Disease Center and Department of Neurological Sciences, Rush University, Chicago, IL
| | - Robert J Dawe
- Rush Alzheimer Disease Center and Department of Neurological Sciences, Rush University, Chicago, IL.,Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL
| | - Lei Yu
- Rush Alzheimer Disease Center and Department of Neurological Sciences, Rush University, Chicago, IL
| | - Konstantinos Arfanakis
- Rush Alzheimer Disease Center and Department of Neurological Sciences, Rush University, Chicago, IL.,Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL.,Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL
| | - Aron S Buchman
- Rush Alzheimer Disease Center and Department of Neurological Sciences, Rush University, Chicago, IL
| | - David A Bennett
- Rush Alzheimer Disease Center and Department of Neurological Sciences, Rush University, Chicago, IL
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Resting-state Functional Magnetic Resonance Imaging Correlates of Sevoflurane-induced Unconsciousness. Anesthesiology 2015; 123:346-56. [PMID: 26057259 DOI: 10.1097/aln.0000000000000731] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) has been used to study the effects of anesthetic agents on correlated intrinsic neural activity. Previous studies have focused primarily on intravenous agents. The authors studied the effects of sevoflurane, an inhaled anesthetic. METHODS Resting-state BOLD fMRI was acquired from 10 subjects before sedation and from 9 subjects rendered unresponsive by 1.2% sevoflurane. The fMRI data were analyzed taking particular care to minimize the impact of artifact generated by head motion. RESULTS BOLD correlations were specifically weaker within the default mode network and ventral attention network during sevoflurane-induced unconsciousness, especially between anterior and posterior midline regions. Reduced functional connectivity between these same networks and the thalamus was also spatially localized to the midline frontal regions. The amplitude of BOLD signal fluctuations was substantially reduced across all brain regions. The importance of censoring epochs contaminated by head motion was demonstrated by comparative analyses. CONCLUSIONS Sevoflurane-induced unconsciousness is associated with both globally reduced BOLD signal amplitudes and selectively reduced functional connectivity within cortical networks associated with consciousness (default mode network) and orienting to salient external stimuli (ventral attention network). Scrupulous attention to minimizing the impact of head motion artifact is critical in fMRI studies using anesthetic agents.
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143
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How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced sedation. J Comput Neurosci 2015; 39:155-79. [PMID: 26256583 DOI: 10.1007/s10827-015-0569-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2015] [Revised: 07/05/2015] [Accepted: 07/13/2015] [Indexed: 12/16/2022]
Abstract
Increasing concentrations of the anaesthetic agent propofol initially induces sedation before achieving full general anaesthesia. During this state of anaesthesia, the observed specific changes in electroencephalographic (EEG) rhythms comprise increased activity in the δ- (0.5-4 Hz) and α- (8-13 Hz) frequency bands over the frontal region, but increased δ- and decreased α-activity over the occipital region. It is known that the cortex, the thalamus, and the thalamo-cortical feedback loop contribute to some degree to the propofol-induced changes in the EEG power spectrum. However the precise role of each structure to the dynamics of the EEG is unknown. In this paper we apply a thalamo-cortical neuronal population model to reproduce the power spectrum changes in EEG during propofol-induced anaesthesia sedation. The model reproduces the power spectrum features observed experimentally both in frontal and occipital electrodes. Moreover, a detailed analysis of the model indicates the importance of multiple resting states in brain activity. The work suggests that the α-activity originates from the cortico-thalamic relay interaction, whereas the emergence of δ-activity results from the full cortico-reticular-relay-cortical feedback loop with a prominent enforced thalamic reticular-relay interaction. This model suggests an important role for synaptic GABAergic receptors at relay neurons and, more generally, for the thalamus in the generation of both the δ- and the α- EEG patterns that are seen during propofol anaesthesia sedation.
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144
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Abstract
Sleep slow waves (SWs) change considerably throughout normal aging. In humans, SWs are generated and propagate on a structural backbone of highly interconnected cortical regions that form most of the default mode network, such as the insula, cingulate cortices, temporal lobe, parietal lobe, and medial frontal lobe. Regions in this network undergo cortical thinning and breakdown in structural and functional connectivity over the course of normal aging. In this study, we investigated how changes in cortical thickness (CT), a measure of gray matter integrity, are involved in modifications of sleep SWs during adulthood in humans. Thirty young (mean age = 23.49 years; SD = 2.79) and 33 older (mean age = 60.35 years; SD = 5.71) healthy subjects underwent a nocturnal polysomnography and T1 MRI. We show that, when controlling for age, higher SW density (nb/min of nonrapid eye movement sleep) was associated with higher CT in cortical regions involved in SW generation surrounding the lateral fissure (insula, superior temporal, parietal, middle frontal), whereas higher SW amplitude was associated with higher CT in middle frontal, medial prefrontal, and medial posterior regions. Mediation analyses demonstrated that thinning in a network of cortical regions involved in SW generation and propagation, but also in cognitive functions, explained the age-related decrease in SW density and amplitude. Altogether, our results suggest that microstructural degradation of specific cortical regions compromise SW generation and propagation in older subjects, critically contributing to age-related changes in SW oscillations.
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145
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Zhang Z, Khatami R. A Biphasic Change of Regional Blood Volume in the Frontal Cortex during Non-Rapid Eye Movement Sleep: A Near-Infrared Spectroscopy Study. Sleep 2015; 38:1211-7. [PMID: 25761983 DOI: 10.5665/sleep.4894] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Accepted: 01/16/2015] [Indexed: 12/29/2022] Open
Abstract
STUDY OBJECTIVES Current knowledge on hemodynamics in sleep is limited because available techniques do not allow continuous recordings and mainly focus on cerebral blood flow while neglecting other important parameters, such as blood volume (BV) and vasomotor activity. DESIGN Observational study. PARTICIPANTS AND SETTINGS Continuous measures of hemodynamics over the left forehead and biceps were performed using near-infrared spectroscopy (NIRS) during nocturnal polysomnography in 16 healthy participants in sleep laboratory. MEASUREMENTS AND RESULTS Temporal dynamics and mean values of cerebral and muscular oxygenated hemoglobin (HbO2), deoxygenated hemoglobin (HHb), and BV during different sleep stages were compared. A biphasic change of cerebral BV was observed which contrasted a monotonic increase of muscular BV during non-rapid eye movement sleep. A significant decrement in cerebral HbO2 and BV accompanied by an increase of HHb was recorded at sleep onset (Phase I). Prior to slow wave sleep (SWS) HbO2 and BV turned to increase whereas HHb began to decrease in subsequent Phase II suggested increased brain perfusion during SWS. The cerebral HbO2 slope correlated to BV slope in Phase I and II, but it only correlated to HHb slope in Phase II. The occurrence time of inflection points correlated to SWS latencies. CONCLUSION Initial decrease of brain perfusion with decreased blood volume (BV) and oxygenated hemoglobin (HbO2) together with increasing muscular BV fit thermoregulation process at sleep onset. The uncorrelated and correlated slopes of HbO2 and deoxygenated hemoglobin indicate different mechanisms underlying the biphasic hemodynamic process in light sleep and slow wave sleep (SWS). In SWS, changes in vasomotor activity (i.e., increased vasodilatation) may mediate increasing cerebral and muscular BV.
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Affiliation(s)
- Zhongxing Zhang
- Center for Sleep Medicine and Sleep Research, Clinic Barmelweid, Barmelweid, Switzerland.,Department of Neurology, University Hospital Bern, Bern, Switzerland
| | - Ramin Khatami
- Center for Sleep Medicine and Sleep Research, Clinic Barmelweid, Barmelweid, Switzerland.,Department of Neurology, University Hospital Bern, Bern, Switzerland.,ZIHP, Zurich Center for Integrative Human Physiology, Zürich, Switzerland
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146
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Norepinephrine ignites local hotspots of neuronal excitation: How arousal amplifies selectivity in perception and memory. Behav Brain Sci 2015; 39:e200. [PMID: 26126507 DOI: 10.1017/s0140525x15000667] [Citation(s) in RCA: 337] [Impact Index Per Article: 37.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Emotional arousal enhances perception and memory of high-priority information but impairs processing of other information. Here, we propose that, under arousal, local glutamate levels signal the current strength of a representation and interact with norepinephrine (NE) to enhance high priority representations and out-compete or suppress lower priority representations. In our "glutamate amplifies noradrenergic effects" (GANE) model, high glutamate at the site of prioritized representations increases local NE release from the locus coeruleus (LC) to generate "NE hotspots." At these NE hotspots, local glutamate and NE release are mutually enhancing and amplify activation of prioritized representations. In contrast, arousal-induced LC activity inhibits less active representations via two mechanisms: 1) Where there are hotspots, lateral inhibition is amplified; 2) Where no hotspots emerge, NE levels are only high enough to activate low-threshold inhibitory adrenoreceptors. Thus, LC activation promotes a few hotspots of excitation in the context of widespread suppression, enhancing high priority representations while suppressing the rest. Hotspots also help synchronize oscillations across neural ensembles transmitting high-priority information. Furthermore, brain structures that detect stimulus priority interact with phasic NE release to preferentially route such information through large-scale functional brain networks. A surge of NE before, during, or after encoding enhances synaptic plasticity at NE hotspots, triggering local protein synthesis processes that enhance selective memory consolidation. Together, these noradrenergic mechanisms promote selective attention and memory under arousal. GANE not only reconciles apparently contradictory findings in the emotion-cognition literature but also extends previous influential theories of LC neuromodulation by proposing specific mechanisms for how LC-NE activity increases neural gain.
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147
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Deco G, Tononi G, Boly M, Kringelbach ML. Rethinking segregation and integration: contributions of whole-brain modelling. Nat Rev Neurosci 2015; 16:430-9. [DOI: 10.1038/nrn3963] [Citation(s) in RCA: 369] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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148
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A distinct class of slow (~0.2-2 Hz) intrinsically bursting layer 5 pyramidal neurons determines UP/DOWN state dynamics in the neocortex. J Neurosci 2015; 35:5442-58. [PMID: 25855163 DOI: 10.1523/jneurosci.3603-14.2015] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
During sleep and anesthesia, neocortical neurons exhibit rhythmic UP/DOWN membrane potential states. Although UP states are maintained by synaptic activity, the mechanisms that underlie the initiation and robust rhythmicity of UP states are unknown. Using a physiologically validated model of UP/DOWN state generation in mouse neocortical slices whereby the cholinergic tone present in vivo is reinstated, we show that the regular initiation of UP states is driven by an electrophysiologically distinct subset of morphologically identified layer 5 neurons, which exhibit intrinsic rhythmic low-frequency burst firing at ~0.2-2 Hz. This low-frequency bursting is resistant to block of glutamatergic and GABAergic transmission but is absent when slices are maintained in a low Ca(2+) medium (an alternative, widely used model of cortical UP/DOWN states), thus explaining the lack of rhythmic UP states and abnormally prolonged DOWN states in this condition. We also characterized the activity of various other pyramidal and nonpyramidal neurons during UP/DOWN states and found that an electrophysiologically distinct subset of layer 5 regular spiking pyramidal neurons fires earlier during the onset of network oscillations compared with all other types of neurons recorded. This study, therefore, identifies an important role for cell-type-specific neuronal activity in driving neocortical UP states.
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149
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Saebipour MR, Joghataei MT, Yoonessi A, Sadeghniiat-Haghighi K, Khalighinejad N, Khademi S. Slow oscillating transcranial direct current stimulation during sleep has a sleep-stabilizing effect in chronic insomnia: a pilot study. J Sleep Res 2015; 24:518-25. [PMID: 26014344 DOI: 10.1111/jsr.12301] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2014] [Accepted: 03/15/2015] [Indexed: 11/30/2022]
Abstract
Recent evidence suggests that lack of slow-wave activity may play a fundamental role in the pathogenesis of insomnia. Pharmacological approaches and brain stimulation techniques have recently offered solutions for increasing slow-wave activity during sleep. We used slow (0.75 Hz) oscillatory transcranial direct current stimulation during stage 2 of non-rapid eye movement sleeping insomnia patients for resonating their brain waves to the frequency of sleep slow-wave. Six patients diagnosed with either sleep maintenance or non-restorative sleep insomnia entered the study. After 1 night of adaptation and 1 night of baseline polysomnography, patients randomly received sham or real stimulation on the third and fourth night of the experiment. Our preliminary results show that after termination of stimulations (sham or real), slow oscillatory transcranial direct current stimulation increased the duration of stage 3 of non-rapid eye movement sleep by 33 ± 26 min (P = 0.026), and decreased stage 1 of non-rapid eye movement sleep duration by 22 ± 17.7 min (P = 0.028), compared with sham. Slow oscillatory transcranial direct current stimulation decreased stage 1 of non-rapid eye movement sleep and wake time after sleep-onset durations, together, by 55.4 ± 51 min (P = 0.045). Slow oscillatory transcranial direct current stimulation also increased sleep efficiency by 9 ± 7% (P = 0.026), and probability of transition from stage 2 to stage 3 of non-rapid eye movement sleep by 20 ± 17.8% (P = 0.04). Meanwhile, slow oscillatory transcranial direct current stimulation decreased transitions from stage 2 of non-rapid eye movement sleep to wake by 12 ± 6.7% (P = 0.007). Our preliminary results suggest a sleep-stabilizing role for the intervention, which may mimic the effect of sleep slow-wave-enhancing drugs.
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Affiliation(s)
- Mohammad R Saebipour
- School of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammad T Joghataei
- School of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.,Cellular and Molecular Medical Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Ali Yoonessi
- School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.,National Brain Mapping Centre, Tehran, Iran
| | | | - Nima Khalighinejad
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Soroush Khademi
- School of Physics, Sharif University of Technology, Tehran, Iran
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150
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Blume C, Del Giudice R, Wislowska M, Lechinger J, Schabus M. Across the consciousness continuum-from unresponsive wakefulness to sleep. Front Hum Neurosci 2015; 9:105. [PMID: 25805982 PMCID: PMC4354375 DOI: 10.3389/fnhum.2015.00105] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Accepted: 02/12/2015] [Indexed: 11/13/2022] Open
Abstract
Advances in the development of new paradigms as well as in neuroimaging techniques nowadays enable us to make inferences about the level of consciousness patients with disorders of consciousness (DOC) retain. They, moreover, allow to predict their probable development. Today, we know that certain brain responses (e.g., event-related potentials or oscillatory changes) to stimulation, circadian rhythmicity, the presence or absence of sleep patterns as well as measures of resting state brain activity can serve the diagnostic and prognostic evaluation process. Still, the paradigms we are using nowadays do not allow to disentangle VS/UWS and minimally conscious state (MCS) patients with the desired reliability and validity. Furthermore, even rather well-established methods have, unfortunately, not found their way into clinical routine yet. We here review current literature as well as recent findings from our group and discuss how neuroimaging methods (fMRI, PET) and particularly electroencephalography (EEG) can be used to investigate cognition in DOC or even to assess the degree of residual awareness. We, moreover, propose that circadian rhythmicity and sleep in brain-injured patients are promising fields of research in this context.
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Affiliation(s)
- Christine Blume
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg Salzburg, Austria ; Centre for Cognitive Neuroscience Salzburg (CCNS), University of Salzburg Salzburg, Austria
| | - Renata Del Giudice
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg Salzburg, Austria ; Centre for Cognitive Neuroscience Salzburg (CCNS), University of Salzburg Salzburg, Austria
| | - Malgorzata Wislowska
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg Salzburg, Austria
| | - Julia Lechinger
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg Salzburg, Austria ; Centre for Cognitive Neuroscience Salzburg (CCNS), University of Salzburg Salzburg, Austria
| | - Manuel Schabus
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg Salzburg, Austria ; Centre for Cognitive Neuroscience Salzburg (CCNS), University of Salzburg Salzburg, Austria
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