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Huang M, Ou Y, Li H, Liu F, Li P, Zhao J, Lang B, Guo W. Association between abnormal default mode network homogeneity and sleep disturbances in major depressive disorder. Gen Psychiatr 2024; 37:e101371. [PMID: 38510926 PMCID: PMC10952859 DOI: 10.1136/gpsych-2023-101371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 02/17/2024] [Indexed: 03/22/2024] Open
Abstract
Background Sleep disturbance is a common comorbidity of major depressive disorder (MDD). However, network homogeneity (NH) changes of the default mode network (DMN) in MDD with sleep disturbances are unclear. Aims The purpose of this study was to probe the abnormal NH in the DMN in MDD with sleep disturbances and to reveal the differences between MDD with or without sleep disturbances. Methods Twenty-four patients with MDD and sleep disturbances (Pa_s), 33 patients with MDD without sleep disturbances (Pa_ns) and 32 healthy controls (HCs) were recruited in this study. Resting-state functional imaging data were analysed using NH. Results Compared with Pa_ns and HCs, Pa_s showed decreased NH in the left superior medial prefrontal cortex and increased NH in the right precuneus. There was a negative correlation between NH in the left superior medial prefrontal cortex and sleep disturbances (r=-0.42, p=0.001) as well as a positive correlation between NH in the right precuneus and sleep disturbances (r=0.41, p=0.002) in patients with MDD. Conclusions MDD with sleep disturbances is associated with abnormal NH in the DMN, which could differentiate pa_s from pa_ns. The DMN may play a crucial role in the neurobiological mechanisms of MDD with sleep disturbances.
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Affiliation(s)
- Muzhi Huang
- Department of Psychiatry, The Second Xiangya Hospital of Central South University National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, Changsha, Hunan, China
| | - Yangpan Ou
- Department of Psychiatry, The Second Xiangya Hospital of Central South University National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, Changsha, Hunan, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Heping, Tianjin, China
| | - Ping Li
- Qiqihar Medical University, Qiqihaer, Heilongjiang, China
| | - Jingping Zhao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, Changsha, Hunan, China
| | - Bing Lang
- Department of Psychiatry, The Second Xiangya Hospital of Central South University National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, Changsha, Hunan, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, Changsha, Hunan, China
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Ricciardiello A, McKinnon AC, Mowszowski L, LaMonica HM, Schrire ZM, Haroutonian C, Lam A, Hickie IB, D'Rozario A, Naismith SL. Assessing sleep architecture and cognition in older adults with depressive symptoms attending a memory clinic. J Affect Disord 2024; 348:35-43. [PMID: 38123073 DOI: 10.1016/j.jad.2023.12.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 11/28/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND While depression is intrinsically and bidirectionally linked with both sleep disturbance and cognition, the inter-relationships between sleep, cognition, and brain integrity in older people with depression, especially those with late-onset depression are undefined. METHODS One hundred and seventy-two older adults (mean age 64.3 ± 6.9 years, Depression: n = 66, Control: n = 106) attending a memory clinic underwent a neuropsychological battery of declarative memory, executive function tasks, cerebral magnetic resonance imaging and overnight polysomnography with quantitative electroencephalography. RESULTS The time spent in slow-wave sleep (SWS) and rapid eye movement (REM) sleep, slow-wave activity, sleep spindles, hippocampal volume and prefrontal cortex thickness did not differ between depression and control and depression onset groups. However, sleep onset latency (p = 0.005) and REM onset latency (p = 0.02) were later in the Depression group compared to controls. Less SWS was associated with poorer memory (r = 0.31, p = 0.023) in the depression group, and less SWS was related to better memory in the control group (r = -0.20, p = 0.043; Fishers r-to-z = -3.19). LIMITATIONS Longitudinal studies are needed to determine if changes in sleep in those with depressive symptoms predict cognitive decline and illness trajectory. CONCLUSION Older participants with depressive symptoms had delayed sleep initiation, suggestive of delayed sleep phase. The association between SWS and memory suggests SWS may be a useful target for cognitive intervention in older adults with depression symptoms. Reduced hippocampal volumes did not mediate this relationship, indicating a broader distributed neural network may underpin these associations.
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Affiliation(s)
- Andrea Ricciardiello
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia; CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Camperdown, NSW, Australia.
| | - Andrew C McKinnon
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia; CogSleep, Australian National Health and Medical Research Council Centre of Research Excellence, Australia
| | - Loren Mowszowski
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia; CogSleep, Australian National Health and Medical Research Council Centre of Research Excellence, Australia
| | - Haley M LaMonica
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
| | - Zoe Menczel Schrire
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia; CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Camperdown, NSW, Australia; CogSleep, Australian National Health and Medical Research Council Centre of Research Excellence, Australia
| | - Carla Haroutonian
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia; CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Camperdown, NSW, Australia
| | - Aaron Lam
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia; CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Camperdown, NSW, Australia; School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Ian B Hickie
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Angela D'Rozario
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia; CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Camperdown, NSW, Australia; CogSleep, Australian National Health and Medical Research Council Centre of Research Excellence, Australia; School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Sharon L Naismith
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia; Charles Perkins Centre, University of Sydney, Camperdown, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia; CogSleep, Australian National Health and Medical Research Council Centre of Research Excellence, Australia
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Farg H, Elnakib A, Gebreil A, Alksas A, van Bogaert E, Mahmoud A, Khalil A, Ghazal M, Abou El-Ghar M, El-Baz A, Contractor S. Diagnostic value of PET imaging in clinically unresponsive patients. Br J Radiol 2024; 97:283-291. [PMID: 38308033 DOI: 10.1093/bjr/tqad040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 07/27/2023] [Accepted: 11/21/2023] [Indexed: 02/04/2024] Open
Abstract
Rapid advancements in the critical care management of acute brain injuries have facilitated the survival of numerous patients who may have otherwise succumbed to their injuries. The probability of conscious recovery hinges on the extent of structural brain damage and the level of metabolic and functional cerebral impairment, which remain challenging to assess via laboratory, clinical, or functional tests. Current research settings and guidelines highlight the potential value of fluorodeoxyglucose-PET (FDG-PET) for diagnostic and prognostic purposes, emphasizing its capacity to consistently illustrate a metabolic reduction in cerebral glucose uptake across various disorders of consciousness. Crucially, FDG-PET might be a pivotal tool for differentiating between patients in the minimally conscious state and those in the unresponsive wakefulness syndrome, a persistent clinical challenge. In patients with disorders of consciousness, PET offers utility in evaluating the degree and spread of functional disruption, as well as identifying irreversible neural damage. Further, studies that capture responses to external stimuli can shed light on residual or revived brain functioning. Nevertheless, the validity of these findings in predicting clinical outcomes calls for additional long-term studies with larger patient cohorts suffering from consciousness impairment. Misdiagnosis of conscious illnesses during bedside clinical assessments remains a significant concern. Based on the clinical research settings, current clinical guidelines recommend PET for diagnostic and/or prognostic purposes. This review article discusses the clinical categories of conscious disorders and the diagnostic and prognostic value of PET imaging in clinically unresponsive patients, considering the known limitations of PET imaging in such contexts.
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Affiliation(s)
- Hashim Farg
- Radiology Department, Urology and Nephrology Center, Mansoura University, 35516 Mansoura, Egypt
| | - Ahmed Elnakib
- BioImaging Lab, Bioengineering Department, University of Louisville, Louisville, KY 40292, United States
| | - Ahmad Gebreil
- BioImaging Lab, Bioengineering Department, University of Louisville, Louisville, KY 40292, United States
| | - Ahmed Alksas
- BioImaging Lab, Bioengineering Department, University of Louisville, Louisville, KY 40292, United States
| | - Eric van Bogaert
- Department of Radiology, University of Louisville, Louisville, KY 40202, United States
| | - Ali Mahmoud
- BioImaging Lab, Bioengineering Department, University of Louisville, Louisville, KY 40292, United States
| | - Ashraf Khalil
- College of Technological Innovation, Zayed University, Abu Dhabi 4783, United Arab Emirates
| | - Mohammed Ghazal
- Electrical, Computer, and Biomedical Engineering Department, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates
| | - Mohamed Abou El-Ghar
- Radiology Department, Urology and Nephrology Center, Mansoura University, 35516 Mansoura, Egypt
| | - Ayman El-Baz
- BioImaging Lab, Bioengineering Department, University of Louisville, Louisville, KY 40292, United States
| | - Sohail Contractor
- Department of Radiology, University of Louisville, Louisville, KY 40202, United States
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Miletínová E, Piorecký M, Koudelka V, Jiříček S, Tomeček D, Brunovský M, Horáček J, Bušková J. Alterations of sleep initiation in NREM parasomnia after sleep deprivation - A multimodal pilot study. Sleep Med X 2023; 6:100086. [PMID: 37745863 PMCID: PMC10511487 DOI: 10.1016/j.sleepx.2023.100086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/24/2023] [Accepted: 09/11/2023] [Indexed: 09/26/2023] Open
Abstract
Objectives NREM parasomnias also known as disorders of arousal (DOA) are characterised by abnormal motor and autonomic activation during arousals primarily from slow wave sleep. Dissociative state between sleep and wake is likely responsible for clinical symptoms of DOA. We therefore investigated potential dissociation outside of parasomnic events by using simultaneous 256-channel EEG (hdEEG) and functional magnetic resonance imaging (fMRI). Methods Eight DOA patients (3 women, mean age = 27.8; SD = 4.2) and 8 gender and age matched healthy volunteers (3 women, mean age = 26,5; SD = 4.0) were included into the study. They underwent 30-32 h of sleep deprivation followed by hdEEG and fMRI recording. We determined 2 conditions: falling asleep (FA) and arousal (A), that occurred outside of deep sleep and/or parasomnic event. We used multimodal approach using data obtained from EEG, fMRI and EEG-fMRI integration approach. Results DOA patients showed increase in delta and beta activity over postcentral gyrus and cuneus during awakening period. This group expressed increased connectivity between motor cortex and cingulate during arousals unrelated to parasomnic events in the beta frequency band. They also showed lower connectivity between different portions of cingulum. In contrast, the greater connectivity was found between thalamus and some cortical areas, such as occipital cortex. Conclusion Our findings suggest a complex alteration in falling asleep and arousal mechanisms at both subcortical and cortical levels in response to sleep deprivation. As this alteration is present also outside of slow wave sleep and/or parasomnic episodes we believe this could be a trait factor of DOA.
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Affiliation(s)
- E. Miletínová
- National Institute of Mental Health, Topolova 748, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University in Prague, Ruská 87, Prague, Czech Republic
| | - M. Piorecký
- National Institute of Mental Health, Topolova 748, Klecany, Czech Republic
- Department of Biomedical Technology, Faculty of Biomedical Engineering, CTU in Prague, Czech Republic
| | - V. Koudelka
- National Institute of Mental Health, Topolova 748, Klecany, Czech Republic
- Department of Biomedical Technology, Faculty of Biomedical Engineering, CTU in Prague, Czech Republic
| | - S. Jiříček
- National Institute of Mental Health, Topolova 748, Klecany, Czech Republic
- Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic
- Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - D. Tomeček
- National Institute of Mental Health, Topolova 748, Klecany, Czech Republic
- Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic
- Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - M. Brunovský
- National Institute of Mental Health, Topolova 748, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University in Prague, Ruská 87, Prague, Czech Republic
| | - J. Horáček
- National Institute of Mental Health, Topolova 748, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University in Prague, Ruská 87, Prague, Czech Republic
| | - J. Bušková
- National Institute of Mental Health, Topolova 748, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University in Prague, Ruská 87, Prague, Czech Republic
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Usami N, Asano Y, Ikegame Y, Takei H, Yamada Y, Yano H, Shinoda J. Cerebral Glucose Metabolism in Patients with Chronic Disorders of Consciousness. Can J Neurol Sci 2023; 50:719-729. [PMID: 36200558 DOI: 10.1017/cjn.2022.301] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To measure regional cerebral metabolic rate of glucose (CMRGlu) in patients with chronic disorders of consciousness (DOCs) using 18F-fluorodeoxyglucose positron emission tomography (FDG-PET). METHODS This retrospective cohort study examined 50 patients (mean age: 40.9 ± 20.1 years) with traumatic brain injury (TBI)-induced chronic DOCs [minimally conscious state (MCS)+, n = 20; MCS-, n = 15 and vegetative state (VS), n = 15]. We measured FDG-PET-based CMRGlu values in 12 regions of both brain hemispheres and compared those among MCS+, MCS - and VS patients. RESULTS In both hemispheres, the regional CMRGlu reduced with consciousness deterioration in 11 of 12 regions (91.7%). In seven right hemisphere regions, CMRGlu values were markedly higher in MCS+ patients than in MCS- patients. Furthermore, CMRGlu was suggestively higher in the left occipital region in MCS- patients than in VS patients. CONCLUSION Functional preservation in the left occipital region in patients with chronic DOCs might reflect an awareness of external environments, whereas extensive functional preservation in the right cerebral hemisphere might reflect communication motivation.
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Affiliation(s)
- Noriko Usami
- Chubu Medical Center for Prolonged Traumatic Brain Injury, Gifu, Japan
- Department of Clinical Brain Sciences, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yoshitaka Asano
- Chubu Medical Center for Prolonged Traumatic Brain Injury, Gifu, Japan
- Department of Clinical Brain Sciences, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yuka Ikegame
- Chubu Medical Center for Prolonged Traumatic Brain Injury, Gifu, Japan
| | - Hiroaki Takei
- Chubu Medical Center for Prolonged Traumatic Brain Injury, Gifu, Japan
| | - Yuichi Yamada
- Chubu Medical Center for Prolonged Traumatic Brain Injury, Gifu, Japan
| | - Hirohito Yano
- Chubu Medical Center for Prolonged Traumatic Brain Injury, Gifu, Japan
- Department of Clinical Brain Sciences, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Jun Shinoda
- Chubu Medical Center for Prolonged Traumatic Brain Injury, Gifu, Japan
- Department of Clinical Brain Sciences, Gifu University Graduate School of Medicine, Gifu, Japan
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Örzsik B, Palombo M, Asllani I, Dijk DJ, Harrison NA, Cercignani M. Higher order diffusion imaging as a putative index of human sleep-related microstructural changes and glymphatic clearance. Neuroimage 2023; 274:120124. [PMID: 37084927 DOI: 10.1016/j.neuroimage.2023.120124] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/16/2023] [Accepted: 04/18/2023] [Indexed: 04/23/2023] Open
Abstract
The brain has a unique macroscopic waste clearance system, termed the glymphatic system which utilises perivascular tunnels surrounded by astroglia to promote cerebrospinal-interstitial fluid exchange. Rodent studies have demonstrated a marked increase in glymphatic clearance during sleep which has been linked to a sleep-induced expansion of the extracellular space and concomitant reduction in intracellular volume. However, despite being implicated in the pathophysiology of multiple human neurodegenerative disorders, non-invasive techniques for imaging glymphatic clearance in humans are currently limited. Here we acquired multi-shell diffusion weighted MRI (dwMRI) in twenty-one healthy young participants (6 female, 22.3 ± 3.2 years) each scanned twice, once during wakefulness and once during sleep induced by a combination of one night of sleep deprivation and 10 mg of the hypnotic zolpidem 30 min before scanning. To capture hypothesised sleep-associated changes in intra/extracellular space, dwMRI were analysed using higher order diffusion modelling with the prediction that sleep-associated increases in interstitial (extracellular) fluid volume would result in a decrease in diffusion kurtosis, particularly in areas associated with slow wave generation at the onset of sleep. In line with our hypothesis, we observed a global reduction in diffusion kurtosis (t15=2.82, p = 0.006) during sleep as well as regional reductions in brain areas associated with slow wave generation during early sleep and default mode network areas that are highly metabolically active during wakefulness. Analysis with a higher-order representation of diffusion (MAP-MRI) further indicated that changes within the intra/extracellular domain rather than membrane permeability likely underpin the observed sleep-associated decrease in kurtosis. These findings identify higher-order modelling of dwMRI as a potential new non-invasive method for imaging glymphatic clearance and extend rodent findings to suggest that sleep is also associated with an increase in interstitial fluid volume in humans.
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Affiliation(s)
- Balázs Örzsik
- Radiology, Leiden University Medical Center, Leiden, the Netherlands; CISC, Brighton and Sussex Medical School, Brighton, United Kingdom.
| | - Marco Palombo
- CUBRIC, Cardiff University, United Kingdom; School of Computer Science and Informatics, Cardiff University, Cardiff, UK
| | - Iris Asllani
- CISC, Brighton and Sussex Medical School, Brighton, United Kingdom; Rochester Institute of Technology, New York, United States
| | - Derk-Jan Dijk
- Surrey Sleep Research Centre, Faculty of Health and Medical Sciences, University of Surrey, Guildford UK; UK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, Guildford UK
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Reid MJ, Dave A, Rojo-Wissar DM, Mun CJ, Lerman SF, Buenaver L, Tennen H, Haythornthwaite J, Campbell CM, Finan P, Smith MT. Nocturnal Delta Power is Associated With Lower Next-Day Pain But Not Pain Catastrophizing: Results From a Cohort of Female Participants With Temporomandibular Joint Pain. THE JOURNAL OF PAIN 2023; 24:413-425. [PMID: 36244660 PMCID: PMC11177632 DOI: 10.1016/j.jpain.2022.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 10/06/2022] [Accepted: 10/07/2022] [Indexed: 11/06/2022]
Abstract
Existing data demonstrate reduced delta power during sleep in patients with depression and chronic pain. However, there has been little examination of the relationship between delta power and pain-reports, or pain-catastrophizing. We recruited female participants (n = 111) with insomnia and temporomandibular disorder, and measured nocturnal and daytime measures of pain and pain catastrophizing, and calculated relative nocturnal delta (0.5-4 Hz) power during sleep. We fit linear regression models, and further examined the moderating effect of depressive symptom severity. Lower relative delta power across the whole night was significantly associated with greater nocturnal pain (B = -20.276, P = .025, R2 = 0.214). Lower relative delta power during the first-third of the night, was associated with greater nocturnal pain (B = -17.807, p = 0.019, R2 = 0.217), next-day pain (B = 13.876, P = .039, R2 = 0.195), and next-morning pain (B = -15.751, P = .022, R2 = 0.198). Lower relative delta power during the final-third of the night was significantly associated with greater nocturnal (B = -17.602, P = .029, R2 = 0.207) and next-morning pain (3rd: B = -14.943, P = .042, R2 = 0.187). Depressive symptom severity did not moderate these relationships. Delta power was not significantly associated with nocturnal or daytime pain catastrophizing. These findings demonstrate that greater relative delta power during sleep is associated with lower nocturnal and next-day pain in patients with temporomandibular disorder. This data may guide the use of sleep interventions in clinical pain populations, with the aim of improving pain outcomes. PERSPECTIVE: This article presents data demonstrating an association between increased nocturnal delta power and reduced next-day pain. These findings may help promote interventions which aim to increase nocturnal delta power in clinical pain populations, with the goal of improving pain outcomes.
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Affiliation(s)
- Matthew J Reid
- Johns Hopkins School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, Maryland.
| | - Abhishek Dave
- Department of Cognitive Sciences, University of California, Irvine, California
| | - Darlynn M Rojo-Wissar
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island
| | - Chung Jung Mun
- Johns Hopkins School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, Maryland; Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona
| | - Sheera F Lerman
- Johns Hopkins School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, Maryland
| | - Luis Buenaver
- Johns Hopkins School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, Maryland
| | - Howard Tennen
- Public Health Sciences, University of Connecticut School of Medicine, Farmington, Connecticut
| | - Jennifer Haythornthwaite
- Johns Hopkins School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, Maryland
| | - Claudia M Campbell
- Johns Hopkins School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, Maryland
| | - Patrick Finan
- Johns Hopkins School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, Maryland
| | - Michael T Smith
- Johns Hopkins School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, Maryland
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Vila-Merkle H, González-Martínez A, Campos-Jiménez R, Martínez-Ricós J, Teruel-Martí V, Lloret A, Blasco-Serra A, Cervera-Ferri A. Sex differences in amygdalohippocampal oscillations and neuronal activation in a rodent anxiety model and in response to infralimbic deep brain stimulation. Front Behav Neurosci 2023; 17:1122163. [PMID: 36910127 PMCID: PMC9995972 DOI: 10.3389/fnbeh.2023.1122163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 02/09/2023] [Indexed: 02/25/2023] Open
Abstract
Introduction Depression and anxiety are highly comorbid mental disorders with marked sex differences. Both disorders show altered activity in the amygdala, hippocampus, and prefrontal cortex. Infralimbic deep brain stimulation (DBS-IL) has anxiolytic and antidepressant effects, but the underlying mechanisms remain unclear. We aimed to contribute to understanding sex differences in the neurobiology of these disorders. Methods In male and female rats, we recorded neural oscillations along the dorsoventral axis of the hippocampus and the amygdala in response to an anxiogenic drug, FG-7142. Following this, we applied DBS-IL. Results Surprisingly, in females, the anxiogenic drug failed to induce most of the changes observed in males. We found sex differences in slow, delta, theta, and beta oscillations, and the amygdalo-hippocampal communication in response to FG-7142, with modest changes in females. Females had a more prominent basal gamma, and the drug altered this band only in males. We also analyzed c-Fos expression in both sexes in stress-related structures in response to FG-7142, DBS-IL, and combined interventions. With the anxiogenic drug, females showed reduced expression in the nucleus incertus, amygdala, septohippocampal network, and neocortical levels. In both experiments, the DBS-IL reversed FG-7142-induced effects, with a more substantial effect in males than females. Discussion Here, we show a reduced response in female rats which contrasts with the higher prevalence of anxiety in women but is consistent with other studies in rodents. Our results open compelling questions about sex differences in the neurobiology of anxiety and depression and their study in animal models.
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Affiliation(s)
- Hanna Vila-Merkle
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Alicia González-Martínez
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Rut Campos-Jiménez
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Joana Martínez-Ricós
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Vicent Teruel-Martí
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Ana Lloret
- Department of Physiology, Faculty of Medicine, Health Research Institute INCLIVA, CIBERFES, University of Valencia, Valencia, Spain
| | - Arantxa Blasco-Serra
- Study Group for the Anatomical Substrate of Pain and Analgesia (GESADA) Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine and Odontology, University of Valencia, Valencia, Spain
| | - Ana Cervera-Ferri
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
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Katsuki F, Gerashchenko D, Brown RE. Alterations of sleep oscillations in Alzheimer's disease: A potential role for GABAergic neurons in the cortex, hippocampus, and thalamus. Brain Res Bull 2022; 187:181-198. [PMID: 35850189 DOI: 10.1016/j.brainresbull.2022.07.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 06/01/2022] [Accepted: 07/06/2022] [Indexed: 02/07/2023]
Abstract
Sleep abnormalities are widely reported in patients with Alzheimer's disease (AD) and are linked to cognitive impairments. Sleep abnormalities could be potential biomarkers to detect AD since they are often observed at the preclinical stage. Moreover, sleep could be a target for early intervention to prevent or slow AD progression. Thus, here we review changes in brain oscillations observed during sleep, their connection to AD pathophysiology and the role of specific brain circuits. Slow oscillations (0.1-1 Hz), sleep spindles (8-15 Hz) and their coupling during non-REM sleep are consistently reduced in studies of patients and in AD mouse models although the timing and magnitude of these alterations depends on the pathophysiological changes and the animal model studied. Changes in delta (1-4 Hz) activity are more variable. Animal studies suggest that hippocampal sharp-wave ripples (100-250 Hz) are also affected. Reductions in REM sleep amount and slower oscillations during REM are seen in patients but less consistently in animal models. Thus, changes in a variety of sleep oscillations could impact sleep-dependent memory consolidation or restorative functions of sleep. Recent mechanistic studies suggest that alterations in the activity of GABAergic neurons in the cortex, hippocampus and thalamic reticular nucleus mediate sleep oscillatory changes in AD and represent a potential target for intervention. Longitudinal studies of the timing of AD-related sleep abnormalities with respect to pathology and dysfunction of specific neural networks are needed to identify translationally relevant biomarkers and guide early intervention strategies to prevent or delay AD progression.
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Affiliation(s)
- Fumi Katsuki
- VA Boston Healthcare System and Harvard Medical School, Dept. of Psychiatry, West Roxbury, MA 02132, USA.
| | - Dmitry Gerashchenko
- VA Boston Healthcare System and Harvard Medical School, Dept. of Psychiatry, West Roxbury, MA 02132, USA
| | - Ritchie E Brown
- VA Boston Healthcare System and Harvard Medical School, Dept. of Psychiatry, West Roxbury, MA 02132, USA
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10
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Abstract
Behavioral states naturally alternate between wakefulness and the sleep phases rapid eye movement and nonrapid eye movement sleep. Waking and sleep states are complex processes that are elegantly orchestrated by spatially fine-tuned neurochemical changes of neurotransmitters and neuromodulators including glutamate, acetylcholine, γ-aminobutyric acid, norepinephrine, dopamine, serotonin, histamine, hypocretin, melanin concentrating hormone, adenosine, and melatonin. However, as highlighted in this brief overview, no single neurotransmitter or neuromodulator, but rather their complex interactions within organized neuronal ensembles, regulate waking and sleep states. The neurochemical pathways presented here are aimed to provide a conceptual framework for the understanding of the effects of currently used sleep medications.
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Affiliation(s)
- Sebastian C Holst
- Neuroscience and Rare Diseases Discovery and Translational Area, Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, Basel 4070, Switzerland.
| | - 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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11
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Hermann B, Sangaré A, Munoz-Musat E, Salah AB, Perez P, Valente M, Faugeras F, Axelrod V, Demeret S, Marois C, Pyatigorskaya N, Habert MO, Kas A, Sitt JD, Rohaut B, Naccache L. Importance, limits and caveats of the use of “disorders of consciousness” to theorize consciousness. Neurosci Conscious 2022; 2021:niab048. [PMID: 35369675 PMCID: PMC8966966 DOI: 10.1093/nc/niab048] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 12/21/2021] [Accepted: 01/27/2022] [Indexed: 11/13/2022] Open
Abstract
The clinical and fundamental exploration of patients suffering from disorders of consciousness (DoC) is commonly used by researchers both to test some of their key theoretical predictions and to serve as a unique source of empirical knowledge about possible dissociations between consciousness and cognitive and/or neural processes. For instance, the existence of states of vigilance free of any self-reportable subjective experience [e.g. “vegetative state (VS)” and “complex partial epileptic seizure”] originated from DoC and acted as a cornerstone for all theories by dissociating two concepts that were commonly equated and confused: vigilance and conscious state. In the present article, we first expose briefly the major achievements in the exploration and understanding of DoC. We then propose a synthetic taxonomy of DoC, and we finally highlight some current limits, caveats and questions that have to be addressed when using DoC to theorize consciousness. In particular, we show (i) that a purely behavioral approach of DoC is insufficient to characterize the conscious state of patients; (ii) that the comparison between patients in a minimally conscious state (MCS) and patients in a VS [also coined as unresponsive wakefulness syndrome (UWS)] does not correspond to a pure and minimal contrast between unconscious and conscious states and (iii) we emphasize, in the light of original resting-state positron emission tomography data, that behavioral MCS captures an important but misnamed clinical condition that rather corresponds to a cortically mediated state and that MCS does not necessarily imply the preservation of a conscious state.
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Affiliation(s)
| | - Aude Sangaré
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
- Department of Neurophysiology, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
| | - Esteban Munoz-Musat
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
| | - Amina Ben Salah
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
| | - Pauline Perez
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
| | - Mélanie Valente
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
- Department of Neurophysiology, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
| | - Frédéric Faugeras
- Department of Neurology, AP-HP, Hôpital Henri-Mondor-Albert Chenevier, Université Paris Est Creteil, Créteil 94 000, France
- Département d’Etudes Cognitives, École normale supérieure, PSL University, Paris 75005, France
- Inserm U955, Institut Mondor de Recherche Biomédicale, Equipe E01 NeuroPsychologie Interventionnelle, Créteil 94000, France
| | - Vadim Axelrod
- Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan 5290002, Israel
| | - Sophie Demeret
- Department of Neurology, Neuro-ICU, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
| | - Clémence Marois
- Department of Neurology, Neuro-ICU, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
| | - Nadya Pyatigorskaya
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
- Department of Neuroradiology, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
| | - Marie-Odile Habert
- Department of Nuclear Medicine, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
- Laboratoire d’Imagerie Biomédicale, LIB, INSERM, CNRS, Sorbonne Université, Paris, France
| | - Aurélie Kas
- Department of Nuclear Medicine, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
- Laboratoire d’Imagerie Biomédicale, LIB, INSERM, CNRS, Sorbonne Université, Paris, France
| | - Jacobo D Sitt
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
| | - Benjamin Rohaut
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
- Department of Neurology, Neuro-ICU, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
| | - Lionel Naccache
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
- Department of Neurophysiology, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
- Medical Intensive Care Unit, AP-HP, Hôpital Européen Georges Pompidou, Paris 75015, France
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12
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Dong H, Chen ZK, Guo H, Yuan XS, Liu CW, Qu WM, Huang ZL. Striatal neurons expressing dopamine D 1 receptor promote wakefulness in mice. Curr Biol 2022; 32:600-613.e4. [PMID: 35021048 DOI: 10.1016/j.cub.2021.12.026] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 10/17/2021] [Accepted: 12/09/2021] [Indexed: 10/19/2022]
Abstract
Patients with Parkinson's disease (PD) suffer from severe sleep disorders. Pathophysiology of the basal ganglia (BG) underlies PD, and the dorsal striatum represents the major input pathway of the BG. However, the roles and mechanisms of the dorsal striatum in controlling sleep-wake cycles remain unknown. To demonstrate the contribution of dopamine D1 receptor (D1R)-positive neurons within the dorsal striatum in promoting wakefulness, we combined optogenetic manipulations and fiber photometry with electroencephalography/electromyography recording in D1R-Cre mice. As a result, optogenetic activation of striatal D1R neurons induced immediate transitions from non-rapid eye movement (NREM) sleep to wakefulness, whereas inhibition of striatal D1R neurons attenuated wakefulness by chemogenetics. Multi-channel fiber photometry recordings revealed that the activity of striatal D1R neurons synchronized with that of BG upstreams, namely the prefrontal cortex and mediodorsal thalamus, in terms of immediate increase in activity during NREM-to-wake transitions and rapid decease during wake-to-NREM transitions. Further optogenetic manipulations revealed a prominent contribution of striatal D1R neurons in control of wakefulness by upstream, corticostriatal, thalamostriatal, and nigrostriatal projections and via downstream, striato-entopeduncular, or striatonigral pathways. Taken together, our findings revealed a circuit regulating wakefulness through striatal D1R neurons. Striatal D1R neurons play an important role in controlling wakefulness by integrating the corticostriatal, thalamostriatal, and nigrostriatal projections and innervation of striato-entopeduncular or striatonigral pathways.
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Affiliation(s)
- Hui Dong
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Ze-Ka Chen
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Han Guo
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Xiang-Shan Yuan
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Cheng-Wei Liu
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Wei-Min Qu
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China.
| | - Zhi-Li Huang
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China.
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13
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The Oscillatory Profile Induced by the Anxiogenic Drug FG-7142 in the Amygdala-Hippocampal Network Is Reversed by Infralimbic Deep Brain Stimulation: Relevance for Mood Disorders. Biomedicines 2021; 9:biomedicines9070783. [PMID: 34356846 PMCID: PMC8301458 DOI: 10.3390/biomedicines9070783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 06/27/2021] [Accepted: 06/29/2021] [Indexed: 01/02/2023] Open
Abstract
Anxiety and depression exhibit high comorbidity and share the alteration of the amygdala–hippocampal–prefrontal network, playing different roles in the ventral and dorsal hippocampi. Deep brain stimulation of the infralimbic cortex in rodents or the human equivalent—the subgenual cingulate cortex—constitutes a fast antidepressant treatment. The aim of this work was: (1) to describe the oscillatory profile in a rodent model of anxiety, and (2) to deepen the therapeutic basis of infralimbic deep brain stimulation in mood disorders. First, the anxiogenic drug FG-7142 was administered to anaesthetized rats to characterize neural oscillations within the amygdala and the dorsoventral axis of the hippocampus. Next, deep brain stimulation was applied. FG-7142 administration drastically reduced the slow waves, increasing delta, low theta, and beta oscillations in the network. Moreover, FG-7142 altered communication in these bands in selective subnetworks. Deep brain stimulation of the infralimbic cortex reversed most of these FG-7142 effects. Cross-frequency coupling was also inversely modified by FG-7142 and by deep brain stimulation. Our study demonstrates that the hyperactivated amygdala–hippocampal network associated with the anxiogenic drug exhibits an oscillatory fingerprint. The study contributes to comprehending the neurobiological basis of anxiety and the effects of infralimbic deep brain stimulation.
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14
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Jing W, Xia Y, Li M, Cui Y, Chen M, Xue M, Guo D, Biswal BB, Yao D. State-independent and state-dependent patterns in the rat default mode network. Neuroimage 2021; 237:118148. [PMID: 33984491 DOI: 10.1016/j.neuroimage.2021.118148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 04/04/2021] [Accepted: 05/04/2021] [Indexed: 10/21/2022] Open
Abstract
Resting-state studies have typically assumed constant functional connectivity (FC) between brain regions, and these parameters of interest provide meaningful descriptions of the functional organization of the brain. A number of studies have recently provided evidence pointing to dynamic FC fluctuations in the resting brain, especially in higher-order regions such as the default mode network (DMN). The neural activities underlying dynamic FC remain poorly understood. Here, we recorded electrophysiological signals from DMN regions in freely behaving rats. The dynamic FCs between signals within the DMN were estimated by the phase locking value (PLV) method with sliding time windows across vigilance states [quiet wakefulness (QW) and slow-wave and rapid eye movement sleep (SWS and REMS)]. Factor analysis was then performed to reveal the hidden patterns within the DMN. We identified distinct spatial FC patterns according to the similarities between their temporal dynamics. Interestingly, some of these patterns were vigilance state-dependent, while others were independent across states. The temporal contributions of these patterns fluctuated over time, and their interactive relationships were different across vigilance states. These spatial patterns with dynamic temporal contributions and combinations may offer a flexible framework for efficiently integrating information to support cognition and behavior. These findings provide novel insights into the dynamic functional organization of the rat DMN.
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Affiliation(s)
- Wei Jing
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035 Chengdu, China; Department of Physiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 4030030, China
| | - Yang Xia
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035 Chengdu, China
| | - Min Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035 Chengdu, China
| | - Yan Cui
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035 Chengdu, China
| | - Mingming Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035 Chengdu, China; School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Miaomiao Xue
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035 Chengdu, China
| | - Daqing Guo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035 Chengdu, China
| | - Bharat B Biswal
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035 Chengdu, China; Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07103, United States.
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035 Chengdu, China; School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China.
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15
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Hermann B, Stender J, Habert MO, Kas A, Denis-Valente M, Raimondo F, Pérez P, Rohaut B, Sitt JD, Naccache L. Multimodal FDG-PET and EEG assessment improves diagnosis and prognostication of disorders of consciousness. NEUROIMAGE-CLINICAL 2021; 30:102601. [PMID: 33652375 PMCID: PMC7921007 DOI: 10.1016/j.nicl.2021.102601] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Revised: 02/05/2021] [Accepted: 02/11/2021] [Indexed: 12/29/2022]
Abstract
FDG-PET metabolic index of the best hemisphere is robust to diagnose MCS. FDG-PET slightly outperforms EEG-based automatic classification of conscious state. Optimal diagnostic performances are obtained by combining PET and EEG. PET and EEG combination identifies cortical activation suggestive of residual consciousness. PET and EEG combination also predict patients 6-month command-following.
Introduction Functional brain-imaging techniques have revealed that clinical examination of disorders of consciousness (DoC) can underestimate the conscious level of patients. FDG-PET metabolic index of the best preserved hemisphere (MIBH) has been reported as a promising measure of consciousness but has never been externally validated and compared with other brain-imaging diagnostic procedures such as quantitative EEG. Methods FDG-PET, quantitative EEG and cognitive evoked potential using an auditory oddball paradigm were performed in minimally conscious state (MCS) and vegetative state (VS) patient. We compared out-sample diagnostic and prognostic performances of PET-MIBH and EEG-based classification of conscious state to the current behavioral gold-standard, the Coma Recovery Scale – revised (CRS-R). Results Between January 2016 and October 2019, 52 patients were included: 21 VS and 31 MCS. PET-MIBH had an AUC of 0.821 [0.694–0.930], sensitivity of 79% [62–91] and specificity of 78% [56–93], not significantly different from EEG (p = 0.628). Their combination accurately identified almost all MCS patients with a sensitivity of 94% [79–99%] and specificity of 67% [43–85]. Multimodal assessment also identified VS patients with neural correlate of consciousness (4/7 (57%) vs. 1/14 (7%), p = 0.025) and patients with 6-month recovery of command-following (9/24 (38%) vs. 0/16 (0%), p = 0.006), outperforming each technique taken in isolation. Conclusion FDG-PET MIBH is an accurate and robust procedure across sites to diagnose MCS. Its combination with EEG-based classification of conscious state not only optimizes diagnostic performances but also allows to detect covert cognition and to predict 6-month command-following recovery demonstrating the added value of multimodal assessment of DoC.
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Affiliation(s)
- Bertrand Hermann
- Institut du Cerveau et de la Moelle épinière - ICM, Inserm U1127, CNRS UMR 7225, F-75013 Paris, France; Faculté de Médecine, Université de Paris, Paris, France; Service de Médecine Intensive et Réanimation, Hôpital Européen Georges Pompidou, Assistance Publique des Hôpitaux de Paris (AP-HP), Paris, France.
| | - Johan Stender
- Institut du Cerveau et de la Moelle épinière - ICM, Inserm U1127, CNRS UMR 7225, F-75013 Paris, France
| | - Marie-Odile Habert
- Faculté de Médecine Pitié-Salpêtrière, Sorbonne Universités, UPMC Université Paris 06, Paris, France; Laboratoire d'Imagerie Biomédicale, Sorbonne Université, UPMC Université Paris 06, CNRS, INSERM, F-75013 Paris, France; Service de Médecine Nucléaire, Groupe hospitalier Pitié-Salpêtrière, Assistance Publique des Hôpitaux de Paris (AP-HP), Paris, France
| | - Aurélie Kas
- Faculté de Médecine Pitié-Salpêtrière, Sorbonne Universités, UPMC Université Paris 06, Paris, France; Laboratoire d'Imagerie Biomédicale, Sorbonne Université, UPMC Université Paris 06, CNRS, INSERM, F-75013 Paris, France; Service de Médecine Nucléaire, Groupe hospitalier Pitié-Salpêtrière, Assistance Publique des Hôpitaux de Paris (AP-HP), Paris, France
| | - Mélanie Denis-Valente
- Institut du Cerveau et de la Moelle épinière - ICM, Inserm U1127, CNRS UMR 7225, F-75013 Paris, France; Service de Neurophysiologie, Groupe hospitalier Pitié-Salpêtrière, Assistance Publique des Hôpitaux de Paris (AP-HP), Paris, France
| | - Federico Raimondo
- Institut du Cerveau et de la Moelle épinière - ICM, Inserm U1127, CNRS UMR 7225, F-75013 Paris, France; Coma Science Group, GIGA Consciousness, University of Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Belgium
| | - Pauline Pérez
- Institut du Cerveau et de la Moelle épinière - ICM, Inserm U1127, CNRS UMR 7225, F-75013 Paris, France
| | - Benjamin Rohaut
- Institut du Cerveau et de la Moelle épinière - ICM, Inserm U1127, CNRS UMR 7225, F-75013 Paris, France; Faculté de Médecine Pitié-Salpêtrière, Sorbonne Universités, UPMC Université Paris 06, Paris, France
| | - Jacobo Diego Sitt
- Institut du Cerveau et de la Moelle épinière - ICM, Inserm U1127, CNRS UMR 7225, F-75013 Paris, France
| | - Lionel Naccache
- Institut du Cerveau et de la Moelle épinière - ICM, Inserm U1127, CNRS UMR 7225, F-75013 Paris, France; Faculté de Médecine Pitié-Salpêtrière, Sorbonne Universités, UPMC Université Paris 06, Paris, France; Service de Neurophysiologie, Groupe hospitalier Pitié-Salpêtrière, Assistance Publique des Hôpitaux de Paris (AP-HP), Paris, France
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16
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Kapadia A, Mirrahimi A, Dmytriw AA. Intersection between sleep and neurovascular coupling as the driving pathophysiology of Alzheimer’s disease. Med Hypotheses 2020; 144:110283. [DOI: 10.1016/j.mehy.2020.110283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 09/05/2020] [Accepted: 09/13/2020] [Indexed: 10/23/2022]
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17
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Hasegawa H, Selway R, Gnoni V, Beniczky S, Williams SCR, Kryger M, Ferini-Strambi L, Goadsby P, Leschziner GD, Ashkan K, Rosenzweig I. The subcortical belly of sleep: New possibilities in neuromodulation of basal ganglia? Sleep Med Rev 2020; 52:101317. [PMID: 32446196 PMCID: PMC7679363 DOI: 10.1016/j.smrv.2020.101317] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 02/22/2020] [Accepted: 03/09/2020] [Indexed: 12/30/2022]
Abstract
Early studies posited a relationship between sleep and the basal ganglia, but this relationship has received little attention recently. It is timely to revisit this relationship, given new insights into the functional anatomy of the basal ganglia and the physiology of sleep, which has been made possible by modern techniques such as chemogenetic and optogenetic mapping of neural circuits in rodents and intracranial recording, functional imaging, and a better understanding of human sleep disorders. We discuss the functional anatomy of the basal ganglia, and review evidence implicating their role in sleep. Whilst these studies are in their infancy, we suggest that the basal ganglia may play an integral role in the sleep-wake cycle, specifically by contributing to a thalamo-cortical-basal ganglia oscillatory network in slow-wave sleep which facilitates neural plasticity, and an active state during REM sleep which enables the enactment of cognitive and emotional networks. A better understanding of sleep mechanisms may pave the way for more effective neuromodulation strategies for sleep and basal ganglia disorders.
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Affiliation(s)
- Harutomo Hasegawa
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London (KCL), UK; Department of Neurosurgery, King's College Hospital, London, UK
| | - Richard Selway
- Department of Neurosurgery, King's College Hospital, London, UK
| | - Valentina Gnoni
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London (KCL), UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK
| | - Sandor Beniczky
- Danish Epilepsy Centre, Dianalund, Denmark; Aarhus University Hospital, Aarhus, Denmark
| | | | - Meir Kryger
- Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, Connecticut, USA
| | | | - Peter Goadsby
- NIHR-Wellcome Trust Clinical Research Facility, SLaM Biomedical Research Centre, King's College London, London, UK
| | - Guy D Leschziner
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London (KCL), UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK; Department of Neurology, Guy's and St Thomas' Hospital (GSTT) & Clinical Neurosciences, KCL, UK
| | | | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London (KCL), UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK.
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18
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Diep C, Ftouni S, Manousakis JE, Nicholas CL, Drummond SPA, Anderson C. Acoustic slow wave sleep enhancement via a novel, automated device improves executive function in middle-aged men. Sleep 2020; 43:5613713. [PMID: 31691831 DOI: 10.1093/sleep/zsz197] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 05/21/2019] [Indexed: 02/06/2023] Open
Abstract
STUDY OBJECTIVES As slow-wave activity (SWA) is critical for cognition, SWA-enhancing technologies provide an exciting opportunity to improve cognitive function. We focus on improving cognitive function beyond sleep-dependent memory consolidation, using an automated device, and in middle-aged adults, who have depleted SWA yet a critical need for maximal cognitive capacity in work environments. METHODS Twenty-four healthy adult males aged 35-48 years participated in a randomized, double-blind, cross-over study. Participants wore an automated acoustic stimulation device that monitored real-time sleep EEG. Following an adaptation night, participants were exposed to either acoustic tones delivered on the up phase of the slow-wave (STIM) or inaudible "tones" during equivalent periods of stimulation (SHAM). An executive function test battery was administered after the experimental night. RESULTS STIM resulted in an increase in delta (0.5-4 Hz) activity across the full-night spectra, with enhancement being maximal at 1 Hz. SWA was higher for STIM relative to SHAM. Although no group differences were observed in any cognitive outcomes, due to large individual differences in SWA enhancement, higher SWA responders showed significantly improved verbal fluency and working memory compared with nonresponders. Significant positive associations were found between SWA enhancement and improvement in these executive function outcomes. CONCLUSIONS Our study suggests that (1) an automated acoustic device enhances SWA; (2) SWA enhancement improves executive function; (3) SWA enhancement in middle-aged men may be an important therapeutic target for enhancing cognitive function; and (4) there is a need to examine interindividual responses to acoustic stimulation and its effect on subsequent cognitive function. CLINICAL TRIAL REGISTRATION This study has been registered with the Australian New Zealand Clinical Trials Registry. "The efficacy of acoustic tones in slow-wave sleep enhancement and cognitive function in healthy adult males". https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371548&isReview=true. REGISTRATION ACTRN12617000399392.
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Affiliation(s)
- Charmaine Diep
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia.,Cooperative Research Centre for Alertness, Safety and Productivity, Notting Hill, Victoria, Australia
| | - Suzanne Ftouni
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia.,Cooperative Research Centre for Alertness, Safety and Productivity, Notting Hill, Victoria, Australia
| | - Jessica E Manousakis
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Christian L Nicholas
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia.,Institute for Breathing and Sleep, Austin Hospital, Melbourne, Victoria, Australia
| | - Sean P A Drummond
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Clare Anderson
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia.,Cooperative Research Centre for Alertness, Safety and Productivity, Notting Hill, Victoria, Australia
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19
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Vertes RP, Linley SB. No cognitive processing in the unconscious,
anesthetic‐like
, state of sleep. J Comp Neurol 2020; 529:524-538. [DOI: 10.1002/cne.24963] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 05/12/2020] [Accepted: 05/25/2020] [Indexed: 12/13/2022]
Affiliation(s)
- Robert P. Vertes
- Center for Complex Systems and Brain Sciences Florida Atlantic University Boca Raton Florida USA
- Department of Psychology Florida Atlantic University Boca Raton Florida USA
| | - Stephanie B. Linley
- Center for Complex Systems and Brain Sciences Florida Atlantic University Boca Raton Florida USA
- Department of Psychology Florida Atlantic University Boca Raton Florida USA
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20
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Local sleep and wakefulness—the concept and its potential for the understanding and treatment of insomnia disorder. SOMNOLOGIE 2020. [DOI: 10.1007/s11818-020-00245-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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21
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Yang Y, Zhu DM, Zhang C, Zhang Y, Wang C, Zhang B, Zhao W, Zhu J, Yu Y. Brain Structural and Functional Alterations Specific to Low Sleep Efficiency in Major Depressive Disorder. Front Neurosci 2020; 14:50. [PMID: 32082117 PMCID: PMC7005201 DOI: 10.3389/fnins.2020.00050] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 01/13/2020] [Indexed: 11/13/2022] Open
Abstract
Background Sleep disturbance is common in patients with major depressive disorder (MDD), but the exploration of its neural underpinnings is limited by subjective sleep measurement and single-modality neuroimaging analyses. Methods Ninety six patients with MDD underwent polysomnography examinations and multi-modal magnetic resonance imaging (MRI) scans. According to sleep efficiency, patients were subdivided into well-matched normal sleep efficiency (NSE, N = 42; 14 men; aged 43 ± 10 years) and low sleep efficiency (LSE, N = 54; 23 men; aged 45 ± 12 years) groups. Inter-group differences in brain structure and function were examined by applying voxel-based morphometry (VBM), regional homogeneity (ReHo) and functional connectivity strength (FCS), and tract-based spatial statistics (TBSS) approaches to structural, functional, and diffusion MRI data, respectively. Results There was no significant difference in gray matter volume (GMV) between the NSE and LSE groups. Compared with the NSE group, the LSE group showed increased axial diffusivity in the left superior and posterior corona radiata, and left posterior limb and retrolenticular part of internal capsule. In addition, the LSE group exhibited decreased ReHo in the bilateral lingual gyri and right postcentral gyrus yet increased FCS in the left angular gyrus relative to the NSE group. Moreover, validation analyses revealed that these results remained after adjusting for the medication effect. Conclusion Our data indicate that preserved gray matter morphology, impaired white matter integrity, and decreased local synchronization degree yet increased FCS are specific to low SE in MDD patients. These findings of disassociation between structural and functional alterations might provide insights into the neural mechanisms of sleep disturbance in depression.
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Affiliation(s)
- Ying Yang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Dao-Min Zhu
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Hefei Fourth People's Hospital, Hefei, China.,Anhui Mental Health Center, Hefei, China
| | - Cun Zhang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yu Zhang
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Hefei Fourth People's Hospital, Hefei, China.,Anhui Mental Health Center, Hefei, China
| | - Chunli Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Biao Zhang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wenming Zhao
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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22
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Stearns MA, Nadorff DK. The Moderation of Raising One's Grandchildren on the Relation Between Sleep and Depressive Symptoms. Nat Sci Sleep 2020; 12:615-626. [PMID: 32922105 PMCID: PMC7455767 DOI: 10.2147/nss.s247568] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 08/03/2020] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Recent evidence has shown that poor quality sleep is associated with depression, particularly among older individuals. Moreover, given that grandparent caregivers are more likely to report being depressed, it is crucial to identify whether poor sleep quality results in more depressive symptoms when older individuals are also caring for their grandchildren. Thus, the current study examined how caregiving status was associated with the relation between sleep quality and depressive symptoms and the further moderation of gender (ie, 3-way interaction). PARTICIPANTS The sample (N = 459, Mean age = 62.43, 58.40% female) was a subset of individuals recruited in the second wave of the MIDUS project completed in 2009. METHODS Participants answered the Center for Epidemiological Studies Depression Scale (CESD), the Pittsburgh Sleep Quality Index (PSQI), and a question regarding grandparent caregiving status. Moderation analyses were conducted using AMOS 26.0. RESULTS The interaction between global sleep quality and grandparent caregiving status was significant in predicting depressive symptoms, and the interactions examining global sleep quality, subjective sleep quality, sleep latency, sleep duration, sleep efficacy, sleep medication, and daytime dysfunction were significant for males when examined separately, whereby increased sleep difficulties were associated with more depressive symptoms. In all sleep domains, the slope of the interactions was sharper for grandparent caregivers, particularly for males. CONCLUSION Significant differences between interactions for males and females indicated 3-way interactions, such that interactions were significant for males and not females. Therefore, the relation of sleep on depressive symptoms was dependent on grandparent caregivers' status and gender.
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Affiliation(s)
- Melanie A Stearns
- Department of Psychology, Mississippi State University, Mississippi, MS, USA
| | - Danielle K Nadorff
- Department of Psychology, Mississippi State University, Mississippi, MS, USA
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23
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Jacob Y, Morris LS, Huang KH, Schneider M, Rutter S, Verma G, Murrough JW, Balchandani P. Neural correlates of rumination in major depressive disorder: A brain network analysis. NEUROIMAGE-CLINICAL 2019; 25:102142. [PMID: 31901654 PMCID: PMC6940660 DOI: 10.1016/j.nicl.2019.102142] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 12/11/2019] [Accepted: 12/21/2019] [Indexed: 02/07/2023]
Abstract
Patients with major depressive disorder (MDD) exhibit higher levels of rumination, i.e., repetitive thinking patterns and exaggerated focus on negative states. Rumination is known to be associated with the cortical midline structures / default mode network (DMN) region activity, although the brain network topological organization underlying rumination remains unclear. Implementing a graph theoretical analysis based on ultra-high field 7-Tesla functional MRI data, we tested whether whole brain network connectivity hierarchies during resting state are associated with rumination in a dimensional manner across 20 patients with MDD and 20 healthy controls. Applying this data-driven approach we found a significant correlation between rumination tendency and connectivity strength degree of the right precuneus, a key node of the DMN. In order to interrogate this region further, we then applied the Dependency Network Analysis (DEPNA), a recently developed method used to quantify the connectivity influence of network nodes. This revealed that rumination was associated with lower connectivity influence of the left medial orbito-frontal cortex (MOFC) cortex on the right precuneus. Lastly, we used an information theory entropy measure that quantifies the cohesion of a network's correlation matrix. We show that subjects with higher rumination scores exhibit higher entropy levels within the DMN i.e. decreased overall connectivity within the DMN. These results emphasize the general DMN involvement during self-reflective processing related to maladaptive rumination in MDD. This work specifically highlights the impact of the MOFC on the precuneus, which might serve as a target for clinical neuromodulation treatment.
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Affiliation(s)
- Yael Jacob
- BioMedical Engineering Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | - Laurel S Morris
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Kuang-Han Huang
- BioMedical Engineering Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Molly Schneider
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Sarah Rutter
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Gaurav Verma
- BioMedical Engineering Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - James W Murrough
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Priti Balchandani
- BioMedical Engineering Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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24
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Lehmann M, Hock A, Zoelch N, Landolt HP, Seifritz E. Dynamic Metabolic Changes in the Human Thalamus at the Transition From Waking to Sleep - Insights From Simultaneous Functional MR Spectroscopy and Polysomnography. Front Neurosci 2019; 13:1158. [PMID: 31736694 PMCID: PMC6833480 DOI: 10.3389/fnins.2019.01158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 10/14/2019] [Indexed: 11/13/2022] Open
Abstract
An important contribution of the thalamus to the transition from wakefulness to sleep is a consistent finding in animal studies. In humans, only little is currently known about the specific role of the thalamus in regulating wake-sleep transitions. Although changes in thalamic blood flow and activity have been reported, the underlying molecular mechanisms have not been investigated. Knowledge about neurotransmitter changes at the wake-to-sleep transition would be indispensable for a better translation of basic animal research findings to humans. Here, we start to fill this important scientific gap. More specifically, we benefit from recent advances in magnetic resonance (MR) spectroscopy, which allow for the non-invasive, local-specific and high-quality detection of naturally occurring metabolite changes in the human brain. We demonstrate in nine young adults able to produce consolidated sleep in the MR spectroscopy scanner, a specific decrease in thalamic glutamate concentration from wakefulness to stage N2 sleep. The magnitude of this decrease was highly correlated with individual N2 sleep duration. When five participants of the original experiment were kept awake in a separate control condition, no decrease in thalamic glutamate levels occurred. The study highlights for the first time in humans that dynamic changes in distinct brain metabolites can be reliably detected at the transition from waking to sleep. The reported methodology to simultaneously acquire functional MR spectroscopy data and neurophysiological signals offers great potential for investigating the molecular mechanisms underlying the transition between and the maintenance of sleep and wake states in humans.
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Affiliation(s)
- Mick Lehmann
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- Sleep & Health Zurich, University of Zurich, Zurich, Switzerland
- Department of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland
| | - Andreas Hock
- Department of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland
- Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland
| | - Niklaus Zoelch
- Department of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland
- Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland
- Department of Forensic Medicine and Imaging, Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland
| | - Hans-Peter Landolt
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- Sleep & Health Zurich, University of Zurich, Zurich, Switzerland
| | - Erich Seifritz
- Sleep & Health Zurich, University of Zurich, Zurich, Switzerland
- Department of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland
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25
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Boes AD, Fischer D, Geerling JC, Bruss J, Saper CB, Fox MD. Connectivity of sleep- and wake-promoting regions of the human hypothalamus observed during resting wakefulness. Sleep 2019; 41:5021065. [PMID: 29850898 DOI: 10.1093/sleep/zsy108] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Indexed: 11/13/2022] Open
Abstract
The hypothalamus is a central hub for regulating sleep-wake patterns, the circuitry of which has been investigated extensively in experimental animals. This work has identified a wake-promoting region in the posterior hypothalamus, with connections to other wake-promoting regions, and a sleep-promoting region in the anterior hypothalamus, with inhibitory projections to the posterior hypothalamus. It is unclear whether a similar organization exists in humans. Here, we use anatomical landmarks to identify homologous sleep- and wake-promoting regions of the human hypothalamus and investigate their functional relationships using resting-state functional connectivity magnetic resonance imaging in healthy awake participants. First, we identify a negative correlation (anticorrelation) between the anterior and posterior hypothalamus, two regions with opposing roles in sleep-wake regulation. Next, we show that hypothalamic connectivity predicts a pattern of regional sleep-wake changes previously observed in humans. Specifically, regions that are more positively correlated with the posterior hypothalamus and more negatively correlated with the anterior hypothalamus correspond to regions with the greatest change in cerebral blood flow between sleep-wake states. Taken together, these findings provide preliminary evidence relating a hypothalamic circuit investigated in animals to sleep-wake neuroimaging results in humans, with implications for our understanding of human sleep-wake regulation and the functional significance of anticorrelations.
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Affiliation(s)
- Aaron D Boes
- Department of Pediatrics, Iowa Neuroimaging and Noninvasive Brain Stimulation Program, University of Iowa Hospitals and Clinics, Iowa City, IA.,Department of Neurology, Iowa Neuroimaging and Noninvasive Brain Stimulation Program, University of Iowa Hospitals and Clinics, Iowa City, IA.,Department of Psychiatry, Iowa Neuroimaging and Noninvasive Brain Stimulation Program, University of Iowa Hospitals and Clinics, Iowa City, IA
| | - David Fischer
- Department of Neurology, Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA
| | - Joel C Geerling
- Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA
| | - Joel Bruss
- Department of Neurology, Iowa Neuroimaging and Noninvasive Brain Stimulation Program, University of Iowa Hospitals and Clinics, Iowa City, IA
| | - Clifford B Saper
- Department of Neurology, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA
| | - Michael D Fox
- Department of Neurology, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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26
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Desjardins MÈ, Baril AA, Soucy JP, Dang-Vu TT, Desautels A, Petit D, Montplaisir J, Zadra A. Altered brain perfusion patterns in wakefulness and slow-wave sleep in sleepwalkers. Sleep 2019. [PMID: 29514303 DOI: 10.1093/sleep/zsy039] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Study Objectives The present study assessed brain perfusion patterns with single-photon emission computed tomography (SPECT) during sleepwalkers' post-sleep deprivation slow-wave sleep (SWS) and resting-state wakefulness. Methods Following a 24 hr period of sleep deprivation, 10 sleepwalkers and 10 sex- and age-matched controls were scanned with a high-resolution SPECT scanner. Participants were injected with 99mTc-ethylene cysteinate dimer after 2 min of stable SWS within their first sleep cycle as well as during resting-state wakefulness, both after a subsequent 24 hr period of sleep deprivation. Results When compared with controls' brain perfusion patterns during both SWS and resting-state wakefulness, sleepwalkers showed reduced regional cerebral perfusion in several bilateral frontal regions, including the superior frontal, middle frontal, and medial frontal gyri. Moreover, reduced regional cerebral perfusion was also found in sleepwalkers' left postcentral gyrus, insula, and superior temporal gyrus during SWS compared with controls. During resting-state wakefulness compared with controls, reduced cerebral perfusion was also found in parietal and temporal regions of sleepwalkers' left hemisphere, whereas the right parahippocampal gyrus showed increased regional cerebral perfusion. Conclusions Our results reveal patterns of reduced regional cerebral perfusion in sleepwalkers' frontal and parietal areas when compared with controls, regions previously associated with SWS generation and episode occurrence. Additionally, reduced perfusion in the dorsolateral prefrontal cortex and insula during recovery SWS is consistent with the clinical features of somnambulistic episodes, including impaired awareness and reduced pain perception. Altered regional cerebral perfusion patterns during sleepwalkers' resting-state wakefulness may be related to daytime functional anomalies in this population.
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Affiliation(s)
- Marie-Ève Desjardins
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, Canada.,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Andrée-Ann Baril
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, Canada.,Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - Jean-Paul Soucy
- PERFORM Centre, Concordia University, Montreal, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Thien Thanh Dang-Vu
- PERFORM Centre, Concordia University, Montreal, Canada.,Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, Canada.,Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal and Department of Neurosciences, Université de Montréal, Montreal, Canada
| | - Alex Desautels
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, Canada.,Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - Dominique Petit
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, Canada.,Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - Jacques Montplaisir
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, Canada.,Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - Antonio Zadra
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, Canada.,Department of Psychology, Université de Montréal, Montreal, Canada
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27
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Latreille V, Gaubert M, Dubé J, Lina JM, Gagnon JF, Carrier J. Age-related cortical signatures of human sleep electroencephalography. Neurobiol Aging 2019; 76:106-114. [DOI: 10.1016/j.neurobiolaging.2018.12.012] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 12/17/2018] [Accepted: 12/27/2018] [Indexed: 11/30/2022]
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28
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Moehlman TM, de Zwart JA, Chappel-Farley MG, Liu X, McClain IB, Chang C, Mandelkow H, Özbay PS, Johnson NL, Bieber RE, Fernandez KA, King KA, Zalewski CK, Brewer CC, van Gelderen P, Duyn JH, Picchioni D. All-night functional magnetic resonance imaging sleep studies. J Neurosci Methods 2019; 316:83-98. [PMID: 30243817 PMCID: PMC6524535 DOI: 10.1016/j.jneumeth.2018.09.019] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 08/08/2018] [Accepted: 09/17/2018] [Indexed: 01/24/2023]
Abstract
BACKGROUND Previous functional magnetic resonance imaging (fMRI) sleep studies have been hampered by the difficulty of obtaining extended amounts of sleep in the sleep-adverse environment of the scanner and often have resorted to manipulations such as sleep depriving subjects before scanning. These manipulations limit the generalizability of the results. NEW METHOD The current study is a methodological validation of procedures aimed at obtaining all-night fMRI data in sleeping subjects with minimal exposure to experimentally induced sleep deprivation. Specifically, subjects slept in the scanner on two consecutive nights, allowing the first night to serve as an adaptation night. RESULTS/COMPARISON WITH EXISTING METHOD(S) Sleep scoring results from simultaneously acquired electroencephalography data on Night 2 indicate that subjects (n = 12) reached the full spectrum of sleep stages including slow-wave (M = 52.1 min, SD = 26.5 min) and rapid eye movement (REM, M = 45.2 min, SD = 27.9 min) sleep and exhibited a mean of 2.1 (SD = 1.1) nonREM-REM sleep cycles. CONCLUSIONS It was found that by diligently applying fundamental principles and methodologies of sleep and neuroimaging science, performing all-night fMRI sleep studies is feasible. However, because the two nights of the study were performed consecutively, some sleep deprivation from Night 1 as a cause of the Night 2 results is likely, so consideration should be given to replicating the current study with a washout period. It is envisioned that other laboratories can adopt the core features of this protocol to obtain similar results.
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Affiliation(s)
- Thomas M Moehlman
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Jacco A de Zwart
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Miranda G Chappel-Farley
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Xiao Liu
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA; Department of Biomedical Engineering, Pennsylvania State University, USA
| | - Irene B McClain
- Office of the Clinical Director, National Institute of Neurological Disorders and Stroke, USA
| | - Catie Chang
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA; Department of Electrical Engineering and Computer Science, Vanderbilt University, USA
| | - Hendrik Mandelkow
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Pinar S Özbay
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Nicholas L Johnson
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Rebecca E Bieber
- Audiology Unit, National Institute on Deafness and Other Communication Disorders, USA
| | - Katharine A Fernandez
- Section on Sensory Cell Biology, National Institute on Deafness and Other Communication Disorders, USA
| | - Kelly A King
- Audiology Unit, National Institute on Deafness and Other Communication Disorders, USA
| | | | - Carmen C Brewer
- Audiology Unit, National Institute on Deafness and Other Communication Disorders, USA
| | - Peter van Gelderen
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Jeff H Duyn
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Dante Picchioni
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA; Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, USA.
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Abstract
Our understanding of non-rapid eye movement (NREM) parasomnias has improved considerably over the last two decades, with research that characterises and explores the causes of these disorders. However, our understanding is far from complete. The aim of this paper is to provide an updated review focusing on adult NREM parasomnias and highlighting new areas in NREM parasomnia research from the recent literature. We outline the prevalence, clinical characteristics, role of onset, pathophysiology, role of predisposing, priming and precipitating factors, diagnostic criteria, treatment options and medico-legal implications of adult NREM parasomnias.
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30
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Abstract
OBJECTIVE Physical activity benefits executive control, but the mechanism through which this benefit occurs is unclear. Sleep is a candidate mechanism given that it improves with exercise and has restorative effects on the prefrontal cortex. The present cross-sectional study examined the mediating role of sleep in the relationship between physical activity and executive control in young and older adults. PARTICIPANTS Young (n = 59) and older (n = 53) community-dwelling adults ages 21-30 and 55-80. METHODS Participants wore an accelerometer for one week to assess sleep efficiency, total sleep time, and physical activity, operationalized as metabolic equivalent of task (METs) during time spent awake. Cognition was assessed in the laboratory across multiple measures of executive control, memory recall, and processing speed. Mediation analyses tested the role of sleep efficiency in the cross-sectional relationship between METs and cognitive performance accounting for age, sex, and education. RESULTS METs were significantly associated with performance before, but not after accounting for covariates. METs were associated with sleep efficiency but not total sleep time. Sleep efficiency, but not total sleep time, mediated the relationship between METs and working memory, switching, verbal ability and fluency, and recall. Age group did not moderate the mediating role of sleep efficiency in the relationship between METs and performance. CONCLUSION Sleep efficiency is one pathway by which physical activity may be associated with executive control across young and older adults.
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Affiliation(s)
- Kristine A Wilckens
- a Department of Psychiatry , University of Pittsburgh School of Medicine , Pittsburgh , Pennsylvania
| | - Kirk I Erickson
- b Department of Psychology , University of Pittsburgh , Pittsburgh , Pennsylvania
| | - Mark E Wheeler
- c School of Psychology , Georgia Institute of Technology , Atlanta , Georgia
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31
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Léger D, Debellemaniere E, Rabat A, Bayon V, Benchenane K, Chennaoui M. Slow-wave sleep: From the cell to the clinic. Sleep Med Rev 2018; 41:113-132. [DOI: 10.1016/j.smrv.2018.01.008] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Revised: 01/02/2018] [Accepted: 01/22/2018] [Indexed: 10/18/2022]
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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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33
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Rosenberg J, Jacobs HIL, Maximov II, Reske M, Shah NJ. Chronotype differences in cortical thickness: grey matter reflects when you go to bed. Brain Struct Funct 2018; 223:3411-3421. [PMID: 29948193 DOI: 10.1007/s00429-018-1697-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 06/04/2018] [Indexed: 12/23/2022]
Abstract
Based on individual circadian cycles and associated cognitive rhythms, humans can be classified via standardised self-reports as being early (EC), late (LC) and intermediate (IC) chronotypes. Alterations in neural cortical structure underlying these chronotype differences have rarely been investigated and are the scope of this study. 16 healthy male ECs, 16 ICs and 16 LCs were measured with a 3 T MAGNETOM TIM TRIO (Siemens, Erlangen) scanner using a magnetization prepared rapid gradient echo sequence. Data were analysed by applying voxel-based morphometry (VBM) and vertex-wise cortical thickness (CTh) analysis. VBM analysis revealed that ECs showed significantly lower grey matter volumes bilateral in the lateral occipital cortex and the precuneus as compared to LCs, and in the right lingual gyrus, occipital fusiform gyrus and the occipital pole as compared to ICs. CTh findings showed lower grey matter volumes for ECs in the left anterior insula, precuneus, inferior parietal cortex, and right pars triangularis than for LCs, and in the right superior parietal gyrus than for ICs. These findings reveal that chronotype differences are associated with specific neural substrates of cortical thickness, surface areas, and folding. We conclude that this might be the basis for chronotype differences in behaviour and brain function. Furthermore, our results speak for the necessity of considering "chronotype" as a potentially modulating factor in all kinds of structural brain-imaging experiments.
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Affiliation(s)
- Jessica Rosenberg
- Institute of Neuroscience and Medicine (INM-4), Medical Imaging Physics, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany. .,JARA-Translational Brain Medicine, RWTH Aachen University, 52074, Aachen, Germany. .,Department of Neurology, University Clinic Aachen, 52074, Aachen, Germany.
| | - Heidi I L Jacobs
- Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Juelich GmbH, 52425, Jülich, Germany.,Alzheimer Centre Limburg, School for Mental Health and Neuroscience (MHeNS), Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Centre, PO Box 616, 6200 MD, Maastricht, The Netherlands.,Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, PO BOX 616, 6200 MD, Maastricht, The Netherlands
| | - Ivan I Maximov
- Institute of Neuroscience and Medicine (INM-4), Medical Imaging Physics, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.,Experimental Physics III, TU Dortmund University, 44221, Dortmund, Germany
| | - Martina Reske
- Institute of Neuroscience and Medicine (INM-4), Medical Imaging Physics, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.,JARA-Translational Brain Medicine, RWTH Aachen University, 52074, Aachen, Germany.,Institute of Neuroscience and Medicine (INM-6), Computational and Systems Neuroscience, and Institute for Advanced Simulation (IAS-6), Theoretical Neuroscience, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany
| | - N J Shah
- Institute of Neuroscience and Medicine (INM-4), Medical Imaging Physics, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.,JARA-Translational Brain Medicine, RWTH Aachen University, 52074, Aachen, Germany.,Department of Neurology, University Clinic Aachen, 52074, Aachen, Germany.,Department of Electrical and Computer Systems Engineering, and Monash Biomedical Imaging, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
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Boucetta S, Montplaisir J, Zadra A, Lachapelle F, Soucy JP, Gravel P, Dang-Vu TT. Altered Regional Cerebral Blood Flow in Idiopathic Hypersomnia. Sleep 2018; 40:4092855. [PMID: 28958044 DOI: 10.1093/sleep/zsx140] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Study Objectives Idiopathic hypersomnia is characterized by excessive daytime sleepiness, despite normal or long sleep time. Its pathophysiological mechanisms remain unclear. This pilot study aims at characterizing the neural correlates of idiopathic hypersomnia using single photon emission computed tomography. Methods Thirteen participants with idiopathic hypersomnia and 16 healthy controls were scanned during resting wakefulness using a high-resolution single photon emission computed tomography scanner with 99mTc-ethyl cysteinate dimer to assess cerebral blood flow. The main analysis compared regional cerebral blood flow distribution between the two groups. Exploratory correlations between regional cerebral blood flow and clinical characteristics evaluated the functional correlates of those brain perfusion patterns. Significance was set at p < .05 after correction for multiple comparisons. Results Participants with idiopathic hypersomnia showed regional cerebral blood flow decreases in medial prefrontal cortex and posterior cingulate cortex and putamen, as well as increases in amygdala and temporo-occipital cortices. Lower regional cerebral blood flow in the medial prefrontal cortex was associated with higher daytime sleepiness. Conclusions These preliminary findings suggest that idiopathic hypersomnia is characterized by functional alterations in brain areas involved in the modulation of vigilance states, which may contribute to the daytime symptoms of this condition. The distribution of regional cerebral blood flow changes was reminiscent of the patterns associated with normal non-rapid-eye-movement sleep, suggesting the possible presence of incomplete sleep-wake transitions. These abnormalities were strikingly distinct from those induced by acute sleep deprivation, suggesting that the patterns seen here might reflect a trait associated with idiopathic hypersomnia rather than a non-specific state of sleepiness.
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Affiliation(s)
- Soufiane Boucetta
- Center for Studies in Behavioral Neurobiology and Department of Exercise Science, Concordia University, Montreal, Quebec, Canada.,PERFORM Centre, Concordia University, Montreal, Quebec, Canada.,Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada.,Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
| | - Jacques Montplaisir
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada.,Department of Psychiatry, Université de Montréal, Montreal, Quebec, Canada
| | - Antonio Zadra
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada.,Department of Psychology, Université de Montréal, Montreal, Quebec, Canada
| | - Francis Lachapelle
- Center for Studies in Behavioral Neurobiology and Department of Exercise Science, Concordia University, Montreal, Quebec, Canada.,PERFORM Centre, Concordia University, Montreal, Quebec, Canada.,Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
| | - Jean-Paul Soucy
- PERFORM Centre, Concordia University, Montreal, Quebec, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Paul Gravel
- PERFORM Centre, Concordia University, Montreal, Quebec, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Thien Thanh Dang-Vu
- Center for Studies in Behavioral Neurobiology and Department of Exercise Science, Concordia University, Montreal, Quebec, Canada.,PERFORM Centre, Concordia University, Montreal, Quebec, Canada.,Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada.,Department of Neurosciences, Université de Montréal, Montreal, Quebec, Canada
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35
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Bi XA, Wang Y, Shu Q, Sun Q, Xu Q. Classification of Autism Spectrum Disorder Using Random Support Vector Machine Cluster. Front Genet 2018; 9:18. [PMID: 29467790 PMCID: PMC5808191 DOI: 10.3389/fgene.2018.00018] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 01/15/2018] [Indexed: 01/03/2023] Open
Abstract
Autism spectrum disorder (ASD) is mainly reflected in the communication and language barriers, difficulties in social communication, and it is a kind of neurological developmental disorder. Most researches have used the machine learning method to classify patients and normal controls, among which support vector machines (SVM) are widely employed. But the classification accuracy of SVM is usually low, due to the usage of a single SVM as classifier. Thus, we used multiple SVMs to classify ASD patients and typical controls (TC). Resting-state functional magnetic resonance imaging (fMRI) data of 46 TC and 61 ASD patients were obtained from the Autism Brain Imaging Data Exchange (ABIDE) database. Only 84 of 107 subjects are utilized in experiments because the translation or rotation of 7 TC and 16 ASD patients has surpassed ±2 mm or ±2°. Then the random SVM cluster was proposed to distinguish TC and ASD. The results show that this method has an excellent classification performance based on all the features. Furthermore, the accuracy based on the optimal feature set could reach to 96.15%. Abnormal brain regions could also be found, such as inferior frontal gyrus (IFG) (orbital and opercula part), hippocampus, and precuneus. It is indicated that the method of random SVM cluster may apply to the auxiliary diagnosis of ASD.
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Affiliation(s)
- Xia-An Bi
- College of Mathematics and Computer Science, Hunan Normal University, Changsha, China
| | - Yang Wang
- College of Mathematics and Computer Science, Hunan Normal University, Changsha, China
| | - Qing Shu
- College of Mathematics and Computer Science, Hunan Normal University, Changsha, China
| | - Qi Sun
- College of Mathematics and Computer Science, Hunan Normal University, Changsha, China
| | - Qian Xu
- College of Mathematics and Computer Science, Hunan Normal University, Changsha, China
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36
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Portnova GV, Tetereva A, Balaev V, Atanov M, Skiteva L, Ushakov V, Ivanitsky A, Martynova O. Correlation of BOLD Signal with Linear and Nonlinear Patterns of EEG in Resting State EEG-Informed fMRI. Front Hum Neurosci 2018; 11:654. [PMID: 29375349 PMCID: PMC5767270 DOI: 10.3389/fnhum.2017.00654] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Accepted: 12/21/2017] [Indexed: 01/08/2023] Open
Abstract
Concurrent EEG and fMRI acquisitions in resting state showed a correlation between EEG power in various bands and spontaneous BOLD fluctuations. However, there is a lack of data on how changes in the complexity of brain dynamics derived from EEG reflect variations in the BOLD signal. The purpose of our study was to correlate both spectral patterns, as linear features of EEG rhythms, and nonlinear EEG dynamic complexity with neuronal activity obtained by fMRI. We examined the relationships between EEG patterns and brain activation obtained by simultaneous EEG-fMRI during the resting state condition in 25 healthy right-handed adult volunteers. Using EEG-derived regressors, we demonstrated a substantial correlation of BOLD signal changes with linear and nonlinear features of EEG. We found the most significant positive correlation of fMRI signal with delta spectral power. Beta and alpha spectral features had no reliable effect on BOLD fluctuation. However, dynamic changes of alpha peak frequency exhibited a significant association with BOLD signal increase in right-hemisphere areas. Additionally, EEG dynamic complexity as measured by the HFD of the 2-20 Hz EEG frequency range significantly correlated with the activation of cortical and subcortical limbic system areas. Our results indicate that both spectral features of EEG frequency bands and nonlinear dynamic properties of spontaneous EEG are strongly associated with fluctuations of the BOLD signal during the resting state condition.
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Affiliation(s)
- Galina V Portnova
- Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia.,Federal State Budgetary Educational Institution of Higher Education, Pushkin State Russian Language Institute, Moscow, Russia
| | - Alina Tetereva
- Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia
| | - Vladislav Balaev
- Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia
| | - Mikhail Atanov
- Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia
| | | | - Vadim Ushakov
- National Research Centre Kurchatov Institute, Moscow, Russia
| | - Alexey Ivanitsky
- Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia
| | - Olga Martynova
- Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia.,Centre for Cognition and Decision Making, National Research University Higher School of Economics, Moscow, Russia
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37
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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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38
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Kim TJ, Lee BU, Sunwoo JS, Byun JI, Moon J, Lee ST, Jung KH, Chu K, Kim M, Lim JM, Lee E, Lee SK, Jung KY. The effect of dim light at night on cerebral hemodynamic oscillations during sleep: A near-infrared spectroscopy study. Chronobiol Int 2017; 34:1325-1338. [PMID: 29064336 DOI: 10.1080/07420528.2017.1363225] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Recent studies have reported that dim light at night (dLAN) is associated with risks of cardiovascular complications, such as hypertension and carotid atherosclerosis; however, little is known about the underlying mechanism. Here, we evaluated the effect of dLAN on the cerebrovascular system by analyzing cerebral hemodynamic oscillations using near-infrared spectroscopy (NIRS). Fourteen healthy male subjects underwent polysomnography coupled with cerebral NIRS. The data collected during sleep with dim light (10 lux) were compared with those collected during sleep under the control dark conditions for the sleep structure, cerebral hemodynamic oscillations, heart rate variability (HRV), and their electroencephalographic (EEG) power spectrum. Power spectral analysis was applied to oxy-hemoglobin concentrations calculated from the NIRS signal. Spectral densities over endothelial very-low-frequency oscillations (VLFOs) (0.003-0.02 Hz), neurogenic VLFOs (0.02-0.04 Hz), myogenic low-frequency oscillations (LFOs) (0.04-0.15 Hz), and total LFOs (0.003-0.15 Hz) were obtained for each sleep stage. The polysomnographic data revealed an increase in the N2 stage under the dLAN conditions. The spectral analysis of cerebral hemodynamics showed that the total LFOs increased significantly during slow-wave sleep (SWS) and decreased during rapid eye movement (REM) sleep. Specifically, endothelial (median of normalized value, 0.46 vs. 0.72, p = 0.019) and neurogenic (median, 0.58 vs. 0.84, p = 0.019) VLFOs were enhanced during SWS, whereas endothelial VLFOs (median, 1.93 vs. 1.47, p = 0.030) were attenuated during REM sleep. HRV analysis exhibited altered spectral densities during SWS induced by dLAN, including an increase in very-low-frequency and decreases in low-frequency and high-frequency ranges. In the EEG power spectral analysis, no significant difference was detected between the control and dLAN conditions. In conclusion, dLAN can disturb cerebral hemodynamics via the endothelial and autonomic systems without cortical involvement, predominantly during SWS, which might represent an underlying mechanism of the increased cerebrovascular risk associated with light exposure during sleep.
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Affiliation(s)
- Tae-Joon Kim
- a Department of Neurology , Seoul National University Hospital , Seoul , South Korea
| | - Byeong Uk Lee
- a Department of Neurology , Seoul National University Hospital , Seoul , South Korea
| | - Jun-Sang Sunwoo
- b Department of Neurology , Soonchunhyang University Seoul Hospital , Seoul , South Korea
| | - Jung-Ick Byun
- c Department of Neurology , Kyung Hee University Hospital at Gangdong , Seoul , South Korea
| | - Jangsup Moon
- a Department of Neurology , Seoul National University Hospital , Seoul , South Korea
| | - Soon-Tae Lee
- a Department of Neurology , Seoul National University Hospital , Seoul , South Korea
| | - Keun-Hwa Jung
- a Department of Neurology , Seoul National University Hospital , Seoul , South Korea
| | - Kon Chu
- a Department of Neurology , Seoul National University Hospital , Seoul , South Korea
| | - Manho Kim
- a Department of Neurology , Seoul National University Hospital , Seoul , South Korea.,d Neuroscience and Protein Metabolism Medical Research Center , Seoul National University College of Medicine , Seoul , South Korea
| | - Jong-Min Lim
- e Department of Lighting Environment Research , Korea Institute of Lighting Technology , Seoul , South Korea
| | - Eunil Lee
- f Department of Preventive Medicine , Korea University College of Medicine , Seoul , South Korea
| | - Sang Kun Lee
- a Department of Neurology , Seoul National University Hospital , Seoul , South Korea
| | - Ki-Young Jung
- a Department of Neurology , Seoul National University Hospital , Seoul , South Korea
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39
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Pace-Schott EF. Exploring the brain bases of dreaming. Commentary on “Beyond the neuropsychology of dreaming: Insights into the neural basis of dreaming with new techniques of sleep recording and analysis.” Sleep Medicine Reviews. Sleep Med Rev 2017; 35:124-126. [DOI: 10.1016/j.smrv.2016.11.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Accepted: 11/17/2016] [Indexed: 10/20/2022]
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40
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Bargiotas P, Muellner J, Schuepbach WMM, Bassetti CL. Parasomnia overlap disorder, Parkinson's disease and subthalamic deep brain stimulation: three case reports. BMC Neurol 2017; 17:137. [PMID: 28720127 PMCID: PMC5516389 DOI: 10.1186/s12883-017-0916-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Accepted: 07/10/2017] [Indexed: 11/21/2022] Open
Abstract
Background Parasomnia overlap disorder (POD) is a distinct parasomnia and characterized by concomitant manifestation of rapid-eye-movement (REM)- and non-REM (NREM)-parasomnias. Although not uncommon among patients with Parkinson’s disease, POD is often under-investigated. Case presentation This is the first report of patients with PD and features of POD that underwent deep brain stimulation. Our patients exhibited different outcomes of POD features after subthalamic deep brain stimulation. Conclusions We expect that the reporting of these first patients will open the discussion about the need for more detailed and broad-spectrum assessments regarding parasomnias in PD patients that undergo deep brain stimulation. The implications of our observations are both clinical and neurobiological.
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Affiliation(s)
- Panagiotis Bargiotas
- Department of Neurology, University Hospital (Inselspital) and University of Bern, Freiburgstrasse 18, 3010, Bern, Switzerland.
| | - Julia Muellner
- Department of Neurology, University Hospital (Inselspital) and University of Bern, Freiburgstrasse 18, 3010, Bern, Switzerland
| | - W M Michael Schuepbach
- Department of Neurology, University Hospital (Inselspital) and University of Bern, Freiburgstrasse 18, 3010, Bern, Switzerland
| | - Claudio L Bassetti
- Department of Neurology, University Hospital (Inselspital) and University of Bern, Freiburgstrasse 18, 3010, Bern, Switzerland
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41
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Jing W, Guo D, Zhang Y, Guo F, Valdés-Sosa PA, Xia Y, Yao D. Reentrant Information Flow in Electrophysiological Rat Default Mode Network. Front Neurosci 2017; 11:93. [PMID: 28289373 PMCID: PMC5326791 DOI: 10.3389/fnins.2017.00093] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Accepted: 02/10/2017] [Indexed: 12/25/2022] Open
Abstract
Functional MRI (fMRI) studies have demonstrated that the rodent brain shows a default mode network (DMN) activity similar to that in humans, offering a potential preclinical model both for physiological and pathophysiological studies. However, the neuronal mechanism underlying rodent DMN remains poorly understood. Here, we used electrophysiological data to analyze the power spectrum and estimate the directed phase transfer entropy (dPTE) within rat DMN across three vigilance states: wakeful rest (WR), slow-wave sleep (SWS), and rapid-eye-movement sleep (REMS). We observed decreased gamma powers during SWS compared with WR in most of the DMN regions. Increased gamma powers were found in prelimbic cortex, cingulate cortex, and hippocampus during REMS compared with WR, whereas retrosplenial cortex showed a reverse trend. These changed gamma powers are in line with the local metabolic variation of homologous brain regions in humans. In the analysis of directional interactions, we observed well-organized anterior-to-posterior patterns of information flow in the delta band, while opposite patterns of posterior-to-anterior flow were found in the theta band. These frequency-specific opposite patterns were only observed in WR and REMS. Additionally, most of the information senders in the delta band were also the receivers in the theta band, and vice versa. Our results provide electrophysiological evidence that rat DMN is similar to its human counterpart, and there is a frequency-dependent reentry loop of anterior-posterior information flow within rat DMN, which may offer a mechanism for functional integration, supporting conscious awareness.
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Affiliation(s)
- Wei Jing
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China
| | - Daqing Guo
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China
| | - Yunxiang Zhang
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China
| | - Fengru Guo
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China
| | - Pedro A Valdés-Sosa
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of ChinaChengdu, China; Cuban Neurosciences CenterHavana, Cuba
| | - Yang Xia
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China
| | - Dezhong Yao
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China
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42
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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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Cakmak YO, Ekinci G, Heinecke A, Çavdar S. A Possible Role of Prolonged Whirling Episodes on Structural Plasticity of the Cortical Networks and Altered Vertigo Perception: The Cortex of Sufi Whirling Dervishes. Front Hum Neurosci 2017; 11:3. [PMID: 28167905 PMCID: PMC5253366 DOI: 10.3389/fnhum.2017.00003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2016] [Accepted: 01/03/2017] [Indexed: 12/14/2022] Open
Abstract
Although minutes of a spinning episode may induce vertigo in the healthy human, as a result of a possible perceptional plasticity, Sufi Whirling Dervishes (SWDs) can spin continuously for an hour without a vertigo perception.This unique long term vestibular system stimulation presents a potential human model to clarify the cortical networks underlying the resistance against vertigo. This study, therefore, aimed to investigate the potential structural cortical plasticity in SWDs. Magnetic resonance imaging (MRI) of 10 SWDs and 10 controls were obtained, using a 3T scanner. Cortical thickness in the whole cortex was calculated. Results demonstrated significantly thinner cortical areas for SWD subjects compared with the control group in the hubs of the default mode network (DMN), as well as in the motion perception and discrimination areas including the right dorsolateral prefrontal cortex (DLPFC), the right lingual gyrus and the left visual area 5 (V5)/middle temporal (MT) and the left fusiform gyrus. In conclusion, this is the first report that warrants the potential relationship of the motion/body perception related cortical networks and the prolonged term of whirling ability without vertigo or dizziness.
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Affiliation(s)
- Yusuf O Cakmak
- Department of Anatomy, School of Biomedical Sciences, University of Otago Dunedin, New Zealand
| | - Gazanfer Ekinci
- Radiology Department, School of Medicine, Marmara University Istanbul, Turkey
| | - Armin Heinecke
- Brain Innovation BV, Biopartner Center Maastricht, Netherlands
| | - Safiye Çavdar
- Department of Anatomy, School of Medicine, Koc University Istanbul, Turkey
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44
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Mental time travel to the future might be reduced in sleep. Conscious Cogn 2016; 48:180-189. [PMID: 27951414 DOI: 10.1016/j.concog.2016.11.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2016] [Revised: 10/31/2016] [Accepted: 11/13/2016] [Indexed: 01/06/2023]
Abstract
We present a quantitative study of mental time travel to the future in sleep. Three independent, blind judges analysed a total of 563 physiology-monitored mentation reports from sleep onset, REM sleep, non-REM sleep, and waking. The linguistic tool for the mentation report analysis is based on established grammatical and cognitive-semantic theories and has been validated in previous studies. Our data indicate that REM and non-REM sleep must be characterized by a reduction in mental time travel to the future, which would support earlier physiological evidence at the level of brain function.
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Fomina T, Lohmann G, Erb M, Ethofer T, Schölkopf B, Grosse-Wentrup M. Self-regulation of brain rhythms in the precuneus: a novel BCI paradigm for patients with ALS. J Neural Eng 2016; 13:066021. [PMID: 27841159 DOI: 10.1088/1741-2560/13/6/066021] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Electroencephalographic (EEG) brain-computer interfaces (BCIs) hold promise in restoring communication for patients with completely locked-in stage amyotrophic lateral sclerosis (ALS). However, these patients cannot use existing EEG-based BCIs, arguably because such systems rely on brain processes that are impaired in the late stages of ALS. In this work, we introduce a novel BCI designed for patients in late stages of ALS based on high-level cognitive processes that are less likely to be affected by ALS. APPROACH We trained two ALS patients via EEG-based neurofeedback to use self-regulation of theta or gamma oscillations in the precuneus for basic communication. Because there is a tight connection between the precuneus and consciousness, precuneus oscillations are arguably generated by high-level cognitive processes, which are less likely to be affected by ALS than processes linked to the peripheral nervous system. MAIN RESULTS Both patients learned to self-regulate their precuneus oscillations and achieved stable online decoding accuracy over the course of disease progression. One patient achieved a mean online decoding accuracy in a binary decision task of 70.55% across 26 training sessions, and the other patient achieved 59.44% across 16 training sessions. We provide empirical evidence that these oscillations were cortical in nature and originated from the intersection of the precuneus, cuneus, and posterior cingulate. SIGNIFICANCE Our results establish that ALS patients can employ self-regulation of precuneus oscillations for communication. Such a BCI is likely to be available to ALS patients as long as their consciousness supports communication.
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Affiliation(s)
- Tatiana Fomina
- Department Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany. IMPRS for Cognitive and Systems Neuroscience, University of Tübingen, Tübingen, Germany
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Speth J, Schloerscheidt AM, Speth C. As we fall asleep we forget about the future: A quantitative linguistic analysis of mentation reports from hypnagogia. Conscious Cogn 2016; 45:235-244. [DOI: 10.1016/j.concog.2016.08.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Revised: 03/24/2016] [Accepted: 08/22/2016] [Indexed: 01/04/2023]
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Kay DB, Karim HT, Soehner AM, Hasler BP, Wilckens KA, James JA, Aizenstein HJ, Price JC, Rosario BL, Kupfer DJ, Germain A, Hall MH, Franzen PL, Nofzinger EA, Buysse DJ. Sleep-Wake Differences in Relative Regional Cerebral Metabolic Rate for Glucose among Patients with Insomnia Compared with Good Sleepers. Sleep 2016; 39:1779-1794. [PMID: 27568812 PMCID: PMC5020360 DOI: 10.5665/sleep.6154] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Accepted: 05/30/2016] [Indexed: 01/15/2023] Open
Abstract
STUDY OBJECTIVES The neurobiological mechanisms of insomnia may involve altered patterns of activation across sleep-wake states in brain regions associated with cognition, self-referential processes, affect, and sleep-wake promotion. The objective of this study was to compare relative regional cerebral metabolic rate for glucose (rCMRglc) in these brain regions across wake and nonrapid eye movement (NREM) sleep states in patients with primary insomnia (PI) and good sleeper controls (GS). METHODS Participants included 44 PI and 40 GS matched for age (mean = 37 y old, range 21-60), sex, and race. We conducted [18F]fluoro-2-deoxy-D-glucose positron emission tomography scans in PI and GS during both morning wakefulness and NREM sleep at night. Repeated measures analysis of variance was used to test for group (PI vs. GS) by state (wake vs. NREM sleep) interactions in relative rCMRglc. RESULTS Significant group-by-state interactions in relative rCMRglc were found in the precuneus/posterior cingulate cortex, left middle frontal gyrus, left inferior/superior parietal lobules, left lingual/fusiform/occipital gyri, and right lingual gyrus. All clusters were significant at Pcorrected < 0.05. CONCLUSIONS Insomnia was characterized by regional alterations in relative glucose metabolism across NREM sleep and wakefulness. Significant group-by-state interactions in relative rCMRglc suggest that insomnia is associated with impaired disengagement of brain regions involved in cognition (left frontoparietal), self-referential processes (precuneus/posterior cingulate), and affect (left middle frontal, fusiform/lingual gyri) during NREM sleep, or alternatively, to impaired engagement of these regions during wakefulness.
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Affiliation(s)
- Daniel B. Kay
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Helmet T. Karim
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA
| | - Adriane M. Soehner
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Brant P. Hasler
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Kristine A. Wilckens
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Jeffrey A. James
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA
| | - Howard J. Aizenstein
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Julie C. Price
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA
| | - Bedda L. Rosario
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - David J. Kupfer
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Anne Germain
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Martica H. Hall
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Peter L. Franzen
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Eric A. Nofzinger
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Cerêve Inc. Oakmont, PA
| | - Daniel J. Buysse
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
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Cipolli C, Ferrara M, De Gennaro L, Plazzi G. Beyond the neuropsychology of dreaming: Insights into the neural basis of dreaming with new techniques of sleep recording and analysis. Sleep Med Rev 2016; 35:8-20. [PMID: 27569701 DOI: 10.1016/j.smrv.2016.07.005] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Revised: 07/14/2016] [Accepted: 07/14/2016] [Indexed: 02/08/2023]
Abstract
Recent advances in electrophysiological [e.g., surface high-density electroencephalographic (hd-EEG) and intracranial recordings], video-polysomnography (video-PSG), transcranial stimulation and neuroimaging techniques allow more in-depth and more accurate investigation of the neural correlates of dreaming in healthy individuals and in patients with brain-damage, neurodegenerative diseases, sleep disorders or parasomnias. Convergent evidence provided by studies using these techniques in healthy subjects has led to a reformulation of several unresolved issues of dream generation and recall [such as the inter- and intra-individual differences in dream recall and the predictivity of specific EEG rhythms, such as theta in rapid eye movement (REM) sleep, for dream recall] within more comprehensive models of human consciousness and its variations across sleep/wake states than the traditional models, which were largely based on the neurophysiology of REM sleep in animals. These studies are casting new light on the neural bases (in particular, the activity of dorsal medial prefrontal cortex regions and hippocampus and amygdala areas) of the inter- and intra-individual differences in dream recall, the temporal location of specific contents or properties (e.g., lucidity) of dream experience and the processing of memories accessed during sleep and incorporated into dream content. Hd-EEG techniques, used on their own or in combination with neuroimaging, appear able to provide further important insights into how the brain generates not only dreaming during sleep but also some dreamlike experiences in waking.
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Affiliation(s)
- Carlo Cipolli
- Department of Specialty, Diagnostic and Experimental Medicine, University of Bologna, Bologna, Italy
| | - Michele Ferrara
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Luigi De Gennaro
- Department of Psychology, Sapienza University of Roma, Roma, Italy
| | - Giuseppe Plazzi
- DIBINEM - Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; IRCCS - Istituto delle Scienze Neurologiche, AUSL di Bologna, Italy.
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Relation between insomnia and stress, anxiety, and depression among Egyptian medical students. MIDDLE EAST CURRENT PSYCHIATRY 2016. [DOI: 10.1097/01.xme.0000484345.57567.a9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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French IT, Muthusamy KA. A Review of Sleep and Its Disorders in Patients with Parkinson's Disease in Relation to Various Brain Structures. Front Aging Neurosci 2016; 8:114. [PMID: 27242523 PMCID: PMC4876118 DOI: 10.3389/fnagi.2016.00114] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Accepted: 04/29/2016] [Indexed: 11/13/2022] Open
Abstract
Sleep is an indispensable normal physiology of the human body fundamental for healthy functioning. It has been observed that Parkinson's disease (PD) not only exhibits motor symptoms, but also non-motor symptoms such as metabolic irregularities, altered olfaction, cardiovascular dysfunction, gastrointestinal complications and especially sleep disorders which is the focus of this review. A good understanding and knowledge of the different brain structures involved and how they function in the development of sleep disorders should be well comprehended in order to treat and alleviate these symptoms and enhance quality of life for PD patients. Therefore it is vital that the normal functioning of the body in relation to sleep is well understood before proceeding on to the pathophysiology of PD correlating to its symptoms. Suitable treatment can then be administered toward enhancing the quality of life of these patients, perhaps even discovering the cause for this disease.
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Affiliation(s)
- Isobel T French
- Department of Surgery, University Malaya Kuala Lumpur, Malaysia
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