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Lee DA, Lee HJ, Park KM. Alteration of multilayer network perspective on gray and white matter connectivity in obstructive sleep apnea. Sleep Breath 2024; 28:1671-1678. [PMID: 38730205 DOI: 10.1007/s11325-024-03059-4] [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: 11/27/2023] [Revised: 05/01/2024] [Accepted: 05/08/2024] [Indexed: 05/12/2024]
Abstract
PURPOSE The objective of this research was to examine changes in the neural networks of both gray and white matter in individuals with obstructive sleep apnea (OSA) in comparison to those without the condition, employing a comprehensive multilayer network analysis. METHODS Patients meeting the criteria for OSA were recruited through polysomnography, while a control group of healthy individuals matched for age and sex was also assembled. Utilizing T1-weighted imaging, a morphometric similarity network was crafted to represent gray matter, while diffusion tensor imaging provided structural connectivity for constructing a white matter network. A multilayer network analysis was then performed, employing graph theory methodologies. RESULTS We included 40 individuals diagnosed with OSA and 40 healthy participants in our study. Analysis revealed significant differences in various global network metrics between the two groups. Specifically, patients with OSA exhibited higher average degree overlap and average multilayer clustering coefficient (28.081 vs. 23.407, p < 0.001; 0.459 vs. 0.412, p = 0.004), but lower multilayer modularity (0.150 vs. 0.175, p = 0.001) compared to healthy controls. However, no significant differences were observed in average multiplex participation, average overlapping strength, or average weighted multiplex participation between the patients with OSA and healthy controls. Moreover, several brain regions displayed notable differences in degree overlap at the nodal level between patients with OSA and healthy controls. CONCLUSION Remarkable alterations in the multilayer network, indicating shifts in both gray and white matter, were detected in patients with OSA in contrast to their healthy counterparts. Further examination at the nodal level unveiled notable changes in regions associated with cognition, underscoring the effectiveness of multilayer network analysis in exploring interactions across brain layers.
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Affiliation(s)
- Dong Ah Lee
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Ho-Joon Lee
- Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Kang Min Park
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea.
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Marchi NA, Daneault V, André C, Martineau‐Dussault M, Baril A, Thompson C, Montplaisir JY, Gilbert D, Lorrain D, Boré A, Descoteaux M, Carrier J, Gosselin N. Altered fornix integrity is associated with sleep apnea-related hypoxemia in mild cognitive impairment. Alzheimers Dement 2024; 20:4092-4105. [PMID: 38716833 PMCID: PMC11180866 DOI: 10.1002/alz.13833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 02/13/2024] [Accepted: 03/18/2024] [Indexed: 06/18/2024]
Abstract
INTRODUCTION The limbic system is critical for memory function and degenerates early in the Alzheimer's disease continuum. Whether obstructive sleep apnea (OSA) is associated with alterations in the limbic white matter tracts remains understudied. METHODS Polysomnography, neurocognitive assessment, and brain magnetic resonance imaging (MRI) were performed in 126 individuals aged 55-86 years, including 70 cognitively unimpaired participants and 56 participants with mild cognitive impairment (MCI). OSA measures of interest were the apnea-hypopnea index and composite variables of sleep fragmentation and hypoxemia. Microstructural properties of the cingulum, fornix, and uncinate fasciculus were estimated using free water-corrected diffusion tensor imaging. RESULTS Higher levels of OSA-related hypoxemia were associated with higher left fornix diffusivities only in participants with MCI. Microstructure of the other white matter tracts was not associated with OSA measures. Higher left fornix diffusivities correlated with poorer episodic verbal memory. DISCUSSION OSA may contribute to fornix damage and memory dysfunction in MCI. HIGHLIGHTS Sleep apnea-related hypoxemia was associated with altered fornix integrity in MCI. Altered fornix integrity correlated with poorer memory function. Sleep apnea may contribute to fornix damage and memory dysfunction in MCI.
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Affiliation(s)
- Nicola Andrea Marchi
- Center for Advanced Research in Sleep MedicineHôpital du Sacré‐Coeur de Montréal, CIUSSS du Nord‐de‐l'Ile‐de‐MontréalMontrealQuebecCanada
- Department of PsychologyUniversité de MontréalMontrealQuebecCanada
- Center for Investigation and Research in SleepDepartment of MedicineLausanne University Hospital and University of LausanneLausanneVaudSwitzerland
- Laboratory for Research in NeuroimagingDepartment of Clinical NeurosciencesLausanne University Hospital and University of LausanneLausanneVaudSwitzerland
| | - Véronique Daneault
- Center for Advanced Research in Sleep MedicineHôpital du Sacré‐Coeur de Montréal, CIUSSS du Nord‐de‐l'Ile‐de‐MontréalMontrealQuebecCanada
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS du Centre‐Sud‐de‐l'Ile‐de‐MontréalMontrealQuebecCanada
| | - Claire André
- Center for Advanced Research in Sleep MedicineHôpital du Sacré‐Coeur de Montréal, CIUSSS du Nord‐de‐l'Ile‐de‐MontréalMontrealQuebecCanada
- Department of PsychologyUniversité de MontréalMontrealQuebecCanada
| | - Marie‐Ève Martineau‐Dussault
- Center for Advanced Research in Sleep MedicineHôpital du Sacré‐Coeur de Montréal, CIUSSS du Nord‐de‐l'Ile‐de‐MontréalMontrealQuebecCanada
- Department of PsychologyUniversité de MontréalMontrealQuebecCanada
| | - Andrée‐Ann Baril
- Center for Advanced Research in Sleep MedicineHôpital du Sacré‐Coeur de Montréal, CIUSSS du Nord‐de‐l'Ile‐de‐MontréalMontrealQuebecCanada
- Department of MedicineFaculty of MedicineUniversité de MontréalMontrealQuebecCanada
| | - Cynthia Thompson
- Center for Advanced Research in Sleep MedicineHôpital du Sacré‐Coeur de Montréal, CIUSSS du Nord‐de‐l'Ile‐de‐MontréalMontrealQuebecCanada
| | - Jacques Yves Montplaisir
- Center for Advanced Research in Sleep MedicineHôpital du Sacré‐Coeur de Montréal, CIUSSS du Nord‐de‐l'Ile‐de‐MontréalMontrealQuebecCanada
- Department of PsychiatryUniversité de MontréalMontrealQuebecCanada
| | - Danielle Gilbert
- Department of RadiologyRadio‐oncology and Nuclear Medicine, Université de MontréalMontrealQuebecCanada
- Department of RadiologyHôpital du Sacré‐Coeur de Montréal, CIUSSS du Nord‐de‐l'Ile‐de‐MontréalMontrealQuebecCanada
| | - Dominique Lorrain
- Research Center on AgingInstitut Universitaire de Gériatrie de Sherbrooke, CIUSSS de l'EstrieSherbrookeQuebecCanada
- Department of PsychologyUniversité de SherbrookeSherbrookeQuebecCanada
| | - Arnaud Boré
- Sherbrooke Connectivity Imaging LabUniversité de SherbrookeSherbrookeQuebecCanada
| | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging LabUniversité de SherbrookeSherbrookeQuebecCanada
| | - Julie Carrier
- Center for Advanced Research in Sleep MedicineHôpital du Sacré‐Coeur de Montréal, CIUSSS du Nord‐de‐l'Ile‐de‐MontréalMontrealQuebecCanada
- Department of PsychologyUniversité de MontréalMontrealQuebecCanada
| | - Nadia Gosselin
- Center for Advanced Research in Sleep MedicineHôpital du Sacré‐Coeur de Montréal, CIUSSS du Nord‐de‐l'Ile‐de‐MontréalMontrealQuebecCanada
- Department of PsychologyUniversité de MontréalMontrealQuebecCanada
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Baran B, Lee EE. Age-Related Changes in Sleep and Its Implications for Cognitive Decline in Aging Persons With Schizophrenia: A Critical Review. Schizophr Bull 2024:sbae059. [PMID: 38713085 DOI: 10.1093/schbul/sbae059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
BACKGROUND AND HYPOTHESIS Cognitive impairment is a core feature of schizophrenia that worsens with aging and interferes with quality of life. Recent work identifies sleep as an actionable target to alleviate cognitive deficits. Cardinal non-rapid eye movement (NREM) sleep oscillations such as sleep spindles and slow oscillations are critical for cognition. People living with schizophrenia (PLWS) and their first-degree relatives have a specific reduction in sleep spindles and an abnormality in their temporal coordination with slow oscillations that predict impaired memory consolidation. While NREM oscillatory activity is reduced in typical aging, it is not known how further disruption in these oscillations contributes to cognitive decline in older PLWS. Another understudied risk factor for cognitive deficits among older PLWS is obstructive sleep apnea (OSA) which may contribute to cognitive decline. STUDY DESIGN We conducted a narrative review to examine the published literature on aging, OSA, and NREM sleep oscillations in PLWS. STUDY RESULTS Spindles are propagated via thalamocortical feedback loops, and this circuitry shows abnormal hyperconnectivity in schizophrenia as revealed by structural and functional MRI studies. While the risk and severity of OSA increase with age, older PLWS are particularly vulnerable to OSA-related cognitive deficits because OSA is often underdiagnosed and undertreated, and OSA adds further damage to the circuitry that generates NREM sleep oscillations. CONCLUSIONS We highlight the critical need to study NREM sleep in older PWLS and propose that identifying and treating OSA in older PLWS will provide an avenue to potentially mitigate and prevent cognitive decline.
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Affiliation(s)
- Bengi Baran
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Ellen E Lee
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Desert-Pacific Mental Illness Research Education and Clinical Center, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
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Parker JL, Vakulin A, Naik G, Melaku YA, Stevens D, Wittert GA, Martin SA, Catcheside PG, Toson B, Appleton SL, Adams RJ. Associations of baseline obstructive sleep apnea and sleep macroarchitecture with cognitive function after 8 years in middle-aged and older men from a community-based cohort study. J Sleep Res 2024; 33:e14078. [PMID: 37859564 DOI: 10.1111/jsr.14078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 09/15/2023] [Accepted: 10/09/2023] [Indexed: 10/21/2023]
Abstract
Previous prospective studies examining associations of obstructive sleep apnea and sleep macroarchitecture with future cognitive function recruited older participants, many demonstrating baseline cognitive impairment. This study examined obstructive sleep apnea and sleep macroarchitecture predictors of visual attention, processing speed, and executive function after 8 years among younger community-dwelling men. Florey Adelaide Male Ageing Study participants (n = 477) underwent home-based polysomnography, with 157 completing Trail-Making Tests A and B and the Mini-Mental State Examination. Associations of obstructive sleep apnea (apnea-hypopnea index, oxygen desaturation index, and hypoxic burden index) and sleep macroarchitecture (sleep stage percentages and total sleep time) parameters with future cognitive function were examined using regression models adjusted for baseline demographic, biomedical, and behavioural factors, and cognitive task performance. The mean (standard deviation) age of the men at baseline was 58.9 (8.9) years, with severe obstructive sleep apnea (apnea-hypopnea index ≥30 events/h) in 9.6%. The median (interquartile range) follow-up was 8.3 (7.9-8.6) years. A minority of men (14.6%) were cognitively impaired at baseline (Mini-Mental State Examination score <28/30). A higher percentage of light sleep was associated with better Trail-Making Test A performance (B = -0.04, 95% confidence interval [CI] -0.06, -0.01; p = 0.003), whereas higher mean oxygen saturation was associated with worse performance (B = 0.11, 95% CI 0.02, 0.19; p = 0.012). While obstructive sleep apnea and sleep macroarchitecture might predict cognitive decline, future studies should consider arousal events and non-routine hypoxaemia measures, which may show associations with cognitive decline.
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Affiliation(s)
- Jesse L Parker
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - Ganesh Naik
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Yohannes Adama Melaku
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - David Stevens
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Gary A Wittert
- Freemasons Centre for Male Health and Wellbeing, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Sean A Martin
- Freemasons Centre for Male Health and Wellbeing, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
- Australian Institute of Family Studies, Melbourne, Victoria, Australia
| | - Peter G Catcheside
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Barbara Toson
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Sarah L Appleton
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
- Freemasons Centre for Male Health and Wellbeing, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Robert J Adams
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, South Australia, Australia
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Zhou Y, Jin X, Liu X, Tang J, Song L, Zhu Y, Zhai W, Wang X. Correlation between obstructive sleep apnea and hypoperfusion in patients with acute cerebral infarction. Front Neurol 2024; 15:1363053. [PMID: 38651100 PMCID: PMC11033380 DOI: 10.3389/fneur.2024.1363053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 03/28/2024] [Indexed: 04/25/2024] Open
Abstract
Purpose To explore the relationship between obstructive sleep apnea (OSA) and hypoperfusion during ultra-early acute cerebral infarction. Patients and methods Data were retrospectively collected from patients admitted to our hospital with acute cerebral infarction between January 2020 and January 2022, who underwent comprehensive whole-brain computed tomography perfusion imaging and angiography examinations within 6 h of onset. The F-stroke software automatically assessed and obtained relevant data (Tmax). The patients underwent an initial screening for sleep apnea. Based on their Apnea-Hypopnea Index (AHI), patients were categorized into an AHI ≤15 (n = 22) or AHI >15 (n = 25) group. The pairwise difference of the time-to-maximum of the residue function (Tmax) > 6 s volume was compared, and the correlation between AHI, mean pulse oxygen saturation (SpO2), oxygen desaturation index (ODI), percentage of time with oxygen saturation < 90% (T90%), and the Tmax >6 s volume was analyzed. Results The Tmax >6 s volume in the AHI > 15 group was significantly larger than that in the AHI ≤ 15 group [109 (62-157) vs. 59 (21-106) mL, p = 0.013]. Spearman's correlation analysis revealed Tmax >6 s volume was significantly correlated with AHI, mean SpO2, ODI, and T90% in the AHI > 15 group, however, no significant correlations were observed in the AHI ≤ 15 group. Controlling for the site of occlusion and Multiphase CT angiography (mCTA) score, AHI (β = 0.919, p < 0.001), mean SpO2 (β = -0.460, p = 0.031), ODI (β = 0.467, p = 0.032), and T90% (β =0.478, p = 0.026) remained associated with early hypoperfusion in the AHI > 15 group. Conclusion In patients with acute cerebral infarction and AHI > 15, AHI, mean SpO2, ODI and T90% were associated with early hypoperfusion. However, no such relationship exists among patients with AHI ≤ 15.
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Affiliation(s)
| | | | | | | | | | | | | | - Xianhui Wang
- Department of Neurology, First People’s Hospital of Taicang, Taicang City, Jiangsu Province, China
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Barateau L, Baillieul S, Andrejak C, Bequignon É, Boutouyrie P, Dauvilliers Y, Gagnadoux F, Geoffroy PA, Micoulaud-Franchi JA, Montani D, Monaca C, Patout M, Pépin JL, Philip P, Pilette C, Tamisier R, Trzepizur W, Jaffuel D, Arnulf I. Guidelines for the assessment and management of residual sleepiness in obstructive apnea-hypopnea syndrome: Endorsed by the French Sleep Research and Medicine Society (SFRMS) and the French Speaking Society of Respiratory Diseases (SPLF). Respir Med Res 2024; 86:101105. [PMID: 38861872 DOI: 10.1016/j.resmer.2024.101105] [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: 03/15/2024] [Accepted: 03/18/2024] [Indexed: 06/13/2024]
Abstract
Excessive daytime sleepiness (EDS) is frequent among patients with obstructive sleep apnea hypopnea syndrome (OSAHS) and can persist despite the optimal correction of respiratory events (apnea, hypopnea and respiratory efforts), using continuous positive airway pressure (CPAP) or mandibular advancement device. Symptoms like apathy and fatigue may be mistaken for EDS. In addition, EDS has multi-factorial origin, which makes its evaluation complex. The marketing authorization [Autorisation de Mise sur le Marché (AMM)] for two wake-promoting agents (solriamfetol and pitolisant) raises several practical issues for clinicians. This consensus paper presents recommendations of good clinical practice to identify and evaluate EDS in this context, and to manage and follow-up the patients. It was conducted under the mandate of the French Societies for sleep medicine and for pneumology [Société Française de Recherche et de Médecine du Sommeil (SFRMS) and Société de Pneumologie de Langue Française (SPLF)]. A management algorithm is suggested, as well as a list of conditions during which the patient should be referred to a sleep center or a sleep specialist. The benefit/risk balance of a wake-promoting drug in residual EDS in OSAHS patients must be regularly reevaluated, especially in elderly patients with increased cardiovascular and psychiatric disorders risks. This consensus is based on the scientific knowledge at the time of the publication and may be revised according to their evolution.
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Affiliation(s)
- Lucie Barateau
- National Reference Center for Rare Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, France; Sleep and Wake Disorders Unit, Department of Neurology, Gui-de-Chauliac University Hospital, Montpellier, France; Institute of Neurosciences of Montpellier (INM), INSERM, University of Montpellier, France.
| | - Sébastien Baillieul
- Grenoble-Alpes university, HP2 Inserm laboratory, U1300, Pneumology and Physiology department, CHU Grenoble-Alpes, 38000 Grenoble, France; National Competence Center for Rare Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, France
| | - Claire Andrejak
- Pneumology department, CHU Amiens-Picardie, 80054 Amiens, France; UR 4294 AGIR, Picardie Jules-Verne University, Amiens, France
| | - Émilie Bequignon
- ENT and oral maxillofacial surgery department, Intercommunal center Créteil, 94000 Créteil, France; CNRS, ERL 7000, Paris-Est Créteil University, 94010 Créteil, France
| | - Pierre Boutouyrie
- Pharmacology, Inserm PARCC U970, Georges-Pompidou European Hospital, Paris-Cité University, Assistance publique-Hôpitaux de Paris, Paris, France
| | - Yves Dauvilliers
- National Reference Center for Rare Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, France; Sleep and Wake Disorders Unit, Department of Neurology, Gui-de-Chauliac University Hospital, Montpellier, France; Institute of Neurosciences of Montpellier (INM), INSERM, University of Montpellier, France
| | - Frédéric Gagnadoux
- National Competence Center for Rare Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, France; Pneumology and Sleep Medicine department, Angers CHU, Angers, France; Inserm 1083, UMR CNRS 6015, MITOVASC, Angers university, 49000 Angers, France
| | - Pierre-Alexis Geoffroy
- Département de psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, 75018 Paris, France; Centre ChronoS, GHU Paris - Psychiatry & Neurosciences, 1 rue Cabanis, 75014 Paris, France; Université de Paris, NeuroDiderot, Inserm U1141, 75019 Paris, France
| | - Jean-Arthur Micoulaud-Franchi
- University Sleep medicine unit, Bordeaux CHU, place Amélie-Raba-Léon, Bordeaux, France; SANPSY UMR 6033, Bordeaux University, 33000 Bordeaux, France
| | - David Montani
- Université Paris-Saclay, AP-HP, INSERM UMR_S 999, Department of Respiratory and Intensive Care Medicine, Pulmonary Hypertension National Referral Centre, Hôpital de Bicêtre, Le Kremlin Bicêtre, France
| | - Christelle Monaca
- National Competence Center for Rare Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, France; Clinical neurophysiology, sleep disorders unit, U1172 - LilNCog - Lille, neurosciences & cognition, Lille university, Lille CHU, 59000 Lille, France
| | - Maxime Patout
- R3S department, Sleep pathologies unit, University hospital group, AP-HP-Sorbonne university, AP-HP, Pitié-Salpêtrière site, 75013 Paris, France; Inserm, UMRS1158 experimental and clinical respiratory neurophysiology, Sorbonne university, 75005 Paris, France
| | - Jean-Louis Pépin
- Grenoble-Alpes university, HP2 Inserm laboratory, U1300, Pneumology and Physiology department, CHU Grenoble-Alpes, 38000 Grenoble, France; National Competence Center for Rare Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, France
| | - Pierre Philip
- National Reference Center for Rare Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, France; University Sleep medicine unit, Bordeaux CHU, place Amélie-Raba-Léon, Bordeaux, France; SANPSY UMR 6033, Bordeaux University, 33000 Bordeaux, France
| | - Charles Pilette
- Saint-Luc university clinics, Institute for experimental and clinical research (Pneumology unit), UC Louvain, Brussels, Belgium
| | - Renaud Tamisier
- Grenoble-Alpes university, HP2 Inserm laboratory, U1300, Pneumology and Physiology department, CHU Grenoble-Alpes, 38000 Grenoble, France; National Competence Center for Rare Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, France
| | - Wojciech Trzepizur
- National Competence Center for Rare Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, France; Pneumology and Sleep Medicine department, Angers CHU, Angers, France; Inserm 1083, UMR CNRS 6015, MITOVASC, Angers university, 49000 Angers, France
| | - Dany Jaffuel
- Pneumology department, Arnaud-de-Villeneuve hospital, Montpellier CHRU, Montpellier, France; Inserm U1046, physiology and experimental medicine, heart and muscle, Montpellier university, Montpellier, France
| | - Isabelle Arnulf
- National Reference Center for Rare Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, France; Pneumology department, Arnaud-de-Villeneuve hospital, Montpellier CHRU, Montpellier, France
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Khatami R, Qi M, Hügli G, Zhang Z. Cumulative brain desaturation: Time to consider brain derived parameters to measure daytime sleepiness in obstructive sleep apnea. Sleep Med 2024; 113:338-341. [PMID: 38103465 DOI: 10.1016/j.sleep.2023.12.002] [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: 10/09/2023] [Revised: 11/24/2023] [Accepted: 12/03/2023] [Indexed: 12/19/2023]
Abstract
OBJECTIVE /Background: The change in cerebral hemodynamics induced by sleep apneas and hypopneas may contribute to the daytime sleepiness in patients with obstructive sleep apnea (OSA). However, previous studies failed to discovery their relationship. We propose and test a new parameter, the cumulative brain oxygen desaturation, which may contribute to OSA patient's daytime sleepiness. PATIENTS/METHODS 22 patients with severe OSA (apnea-hypopnea index (AHI) at diagnosis [mean ± standard deviation, std.]: 52.1 ± 21.6/h, median: 45.1/h, interquartile range: 34.4-60.2/h) were monitored by polysomnography during routine continuous positive airway pressure titration. The reductions of brain tissue oxygen saturation (StO2) in all respiratory events at baseline sleep were measured by frequency-domain near-infrared spectroscopy (NIRS). The cumulative brain desaturation was calculated as AHI times the mean StO2 desaturation (i.e., AHI×ΔStO2‾). Similarly, cumulative peripheral desaturation was also calculated, i.e., AHI×ΔSpO2‾ where ΔSpO2‾ was the mean reduction of peripheral arterial oxygen saturation (SpO2). The correlations between Epworth sleepiness scale (ESS) and AHI, ΔStO2‾, AHI×ΔStO2‾, and AHI×ΔSpO2‾ were tested, respectively. Linear regression was applied to predict ESS using AHI×ΔStO2‾ and AHI×ΔSpO2‾, with age and BMI as covariates. RESULTS ESS significantly correlates to the cumulative brain desaturation (Pearson's correlation coefficient: 0.68, p = 0.00056), not the other parameters. Regression analysis only finds significant association between ESS and the cumulative cerebral desaturation (p = 0.00195) but not the cumulative peripheral desaturation (p = 0.71). CONCLUSIONS The cumulative brain oxygen desaturation, which comprehensively combines total sleep time, the frequency of apnea and hypopnea events, and the severity of cerebral oxygen desaturation, is a new indicator for daytime sleepiness in severe OSA.
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Affiliation(s)
- Ramin Khatami
- Center for Sleep Medicine, Sleep Research, and Epileptology, Clinic Barmelweid, Barmelweid, Switzerland; Barmelweid Academy, Clinic Barmelweid, Barmelweid, Switzerland; Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Ming Qi
- Center for Sleep Medicine, Sleep Research, and Epileptology, Clinic Barmelweid, Barmelweid, Switzerland
| | - Gordana Hügli
- Center for Sleep Medicine, Sleep Research, and Epileptology, Clinic Barmelweid, Barmelweid, Switzerland
| | - Zhongxing Zhang
- Center for Sleep Medicine, Sleep Research, and Epileptology, Clinic Barmelweid, Barmelweid, Switzerland; Barmelweid Academy, Clinic Barmelweid, Barmelweid, Switzerland.
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Legault J, Thompson C, Moullec G, Baril AA, Martineau-Dussault MÈ, André C, Marchi NA, Cross N, Dang-Vu TT, Carrier J, Gosselin N. Age- and sex-specific associations between obstructive sleep apnea risk and cognitive decline in middle-aged and older adults: A 3-year longitudinal analysis of the Canadian longitudinal study on aging. Sleep Med 2023; 112:77-87. [PMID: 37832163 DOI: 10.1016/j.sleep.2023.09.029] [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: 06/29/2023] [Revised: 09/18/2023] [Accepted: 09/25/2023] [Indexed: 10/15/2023]
Abstract
BACKGROUND Whether obstructive sleep apnea (OSA) increases the risk of cognitive decline and how sex and age influence this association is not clear. Here, we characterized the sex- and age-specific associations between OSA risk and 3-year cognitive change in middle-aged and older adults. METHODS We included 24,819 participants aged 45-85 (52% women) from the Canadian Longitudinal Study on Aging. OSA risk was measured at baseline using the STOP combined to body mass index (STOP-B). Neuropsychological tests assessed memory, executive functioning, and psychomotor speed at baseline and at 3-year follow-up. We conducted age- and sex-specific linear mixed models to estimate the predictive role of baseline STOP-B score on 3-year cognitive change. RESULTS Men at high-risk for OSA aged 45-59 years showed a steeper decline in psychomotor speed (+13.2 [95% CI: -1.6, 27.9]) compared to men at low-risk. Men at high-risk for OSA aged 60-69 showed a steeper decline in mental flexibility (-1.2 [-1.9, -0.5]) and processing speed (+0.6 [0.3, 0.9]) than those at low-risk. Women at high-risk for OSA aged 45-59 showed a steeper decline in processing speed (+0.1 [-0.2, 0.4]) than women at low-risk, while women at high-risk ≥70 years had a steeper decline in memory (-0.2 [-0.6, 0.1]) and processing speed (+1.0 [0.4, 1.5]). CONCLUSIONS Associations between OSA risk and cognitive decline over 3 years depend on age and sex. Being at high-risk for OSA is associated with a generalized cognitive decline in attention and processing speed, while a memory decline is specific to older women (≥70 years).
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Affiliation(s)
- Julie Legault
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; Department of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Cynthia Thompson
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada
| | - Gregory Moullec
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; École de santé publique, Département de médecine sociale et préventive, Université de Montréal, Montreal, QC, Canada
| | - Andrée-Ann Baril
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Marie-Ève Martineau-Dussault
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; Department of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Claire André
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; Department of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Nicola Andrea Marchi
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; Department of Psychology, Université de Montréal, Montreal, QC, Canada; Center for Investigation and Research in Sleep, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Nathan Cross
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Ile-de-Montréal, Montreal, QC, Canada; Center for Studies in Behavioral Neurobiology, Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, QC, Canada
| | - Thien Thanh Dang-Vu
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Ile-de-Montréal, Montreal, QC, Canada; Center for Studies in Behavioral Neurobiology, Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, QC, Canada
| | - Julie Carrier
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; Department of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Nadia Gosselin
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; Department of Psychology, Université de Montréal, Montreal, QC, Canada.
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9
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Gao X, Wei T, Xu S, Sun W, Zhang B, Li C, Sui R, Fei N, Li Y, Xu W, Han D. Sleep disorders causally affect the brain cortical structure: A Mendelian randomization study. Sleep Med 2023; 110:243-253. [PMID: 37657176 DOI: 10.1016/j.sleep.2023.08.013] [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: 03/13/2023] [Revised: 07/14/2023] [Accepted: 08/13/2023] [Indexed: 09/03/2023]
Abstract
BACKGROUND s: Previous studies have reported that patients with sleep disorders have altered brain cortical structures. However, the causality has not been determined. We performed a two-sample Mendelian randomization (MR) to reveal the causal effect of sleep disorders on brain cortical structure. METHODS We included as exposures 11 phenotypes of sleep disorders including subjective and objective sleep duration, insomnia symptom and poor sleep efficiency, daytime sleepiness (narcolepsy)/napping, morning/evening preference, and four sleep breathing related traits from nine European-descent genome-wide association studies (GWASs). Further, outcome variables were provided by ENIGMA Consortium GWAS for full brain and 34 region-specific cortical thickness (TH) and surface area (SA) of grey matter. Inverse-variance weighted (IVW) was used as the primary estimate whereas alternative MR methods were implemented as sensitivity analysis approaches to ensure results robustness. RESULTS At the global level, both self-reported or accelerometer-measured shorter sleep duration decreases the thickness of full brain both derived from self-reported data (βIVW = 0.03 mm, standard error (SE) = 0.02, P = 0.038; βIVW = 0.02 mm, SE = 0.01, P = 0.010). At the functional level, there were 66 associations of suggestive evidence of causality. Notably, one robust evidence after multiple testing correction (1518 tests) suggests the without global weighted SA of superior parietal lobule was influenced significantly by sleep efficiency (βIVW = -285.28 mm2, SE = 68.59, P = 3.2 × 10-5). CONCLUSIONS We found significant evidence that shorter sleep duration, as estimated by self-reported interview and accelerometer measurements, was causally associated with atrophy in the entire human brain.
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Affiliation(s)
- Xiang Gao
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, People's Republic of China; Obstructive Sleep Apnea-Hypopnea Syndrome Clinical Diagnosis and Therapy and Research Centre, Capital Medical University, Beijing, 100730, People's Republic of China; Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, 100730, People's Republic of China
| | - Tao Wei
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, 100053, People's Republic of China
| | - Shenglong Xu
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, People's Republic of China; Obstructive Sleep Apnea-Hypopnea Syndrome Clinical Diagnosis and Therapy and Research Centre, Capital Medical University, Beijing, 100730, People's Republic of China; Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, 100730, People's Republic of China
| | - Wei Sun
- Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, 100053, People's Republic of China
| | - Bowen Zhang
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, People's Republic of China; Obstructive Sleep Apnea-Hypopnea Syndrome Clinical Diagnosis and Therapy and Research Centre, Capital Medical University, Beijing, 100730, People's Republic of China; Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, 100730, People's Republic of China
| | - Cancan Li
- Department of Epidemiology and Health Statistics, School of Public Halth, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Rongcui Sui
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, People's Republic of China; Obstructive Sleep Apnea-Hypopnea Syndrome Clinical Diagnosis and Therapy and Research Centre, Capital Medical University, Beijing, 100730, People's Republic of China; Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, 100730, People's Republic of China
| | - Nanxi Fei
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, People's Republic of China
| | - Yanru Li
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, People's Republic of China; Obstructive Sleep Apnea-Hypopnea Syndrome Clinical Diagnosis and Therapy and Research Centre, Capital Medical University, Beijing, 100730, People's Republic of China; Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, 100730, People's Republic of China.
| | - Wen Xu
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, People's Republic of China; Obstructive Sleep Apnea-Hypopnea Syndrome Clinical Diagnosis and Therapy and Research Centre, Capital Medical University, Beijing, 100730, People's Republic of China; Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, 100730, People's Republic of China
| | - Demin Han
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, People's Republic of China; Obstructive Sleep Apnea-Hypopnea Syndrome Clinical Diagnosis and Therapy and Research Centre, Capital Medical University, Beijing, 100730, People's Republic of China; Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, 100730, People's Republic of China.
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10
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García-García I, Donica O, Cohen AA, Gonseth Nusslé S, Heini A, Nusslé S, Pichard C, Rietschel E, Tanackovic G, Folli S, Draganski B. Maintaining brain health across the lifespan. Neurosci Biobehav Rev 2023; 153:105365. [PMID: 37604360 DOI: 10.1016/j.neubiorev.2023.105365] [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: 03/14/2023] [Revised: 07/24/2023] [Accepted: 08/17/2023] [Indexed: 08/23/2023]
Abstract
Across the lifespan, the human body and brain endure the impact of a plethora of exogenous and endogenous factors that determine the health outcome in old age. The overwhelming inter-individual variance spans between progressive frailty with loss of autonomy to largely preserved physical, cognitive, and social functions. Understanding the mechanisms underlying the diverse aging trajectories can inform future strategies to maintain a healthy body and brain. Here we provide a comprehensive overview of the current literature on lifetime factors governing brain health. We present the growing body of evidence that unhealthy alimentary regime, sedentary behaviour, sleep pathologies, cardio-vascular risk factors, and chronic inflammation exert their harmful effects in a cumulative and gradual manner, and that timely and efficient intervention could promote healthy and successful aging. We discuss the main effects and interactions between these risk factors and the resulting brain health outcomes to follow with a description of current strategies aiming to eliminate, treat, or counteract the risk factors. We conclude that the detailed insights about modifiable risk factors could inform personalized multi-domain strategies for brain health maintenance on the background of increased longevity.
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Affiliation(s)
- Isabel García-García
- Laboratory for Research in Neuroimaging (LREN), Department of Clinical Neurosciences, Centre for Research in Neurosciences, Lausanne University Hospital, University of Lausanne, Switzerland; Clinique la Prairie, Montreux, Switzerland
| | | | - Armand Aaron Cohen
- Department of Geriatrics and Rehabilitation, Hadassah University Medical Center Mount Scopus, Jerusalem, Israel
| | | | | | | | - Claude Pichard
- Nutrition Unit, University Hospital of Geneva, Geneva, Switzerland
| | | | | | | | - Bogdan Draganski
- Laboratory for Research in Neuroimaging (LREN), Department of Clinical Neurosciences, Centre for Research in Neurosciences, Lausanne University Hospital, University of Lausanne, Switzerland; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
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11
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André C, Kuhn E, Rehel S, Ourry V, Demeilliez-Servouin S, Palix C, Felisatti F, Champetier P, Dautricourt S, Yushkevich P, Vivien D, de La Sayette V, Chételat G, de Flores R, Rauchs G. Association of Sleep-Disordered Breathing and Medial Temporal Lobe Atrophy in Cognitively Unimpaired Amyloid-Positive Older Adults. Neurology 2023; 101:e370-e385. [PMID: 37258299 PMCID: PMC10435067 DOI: 10.1212/wnl.0000000000207421] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 04/03/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Sleep disordered breathing (SDB) has been related to amyloid deposition and an increased dementia risk. However, how SDB relates to medial temporal lobe neurodegeneration and subsequent episodic memory impairment is unclear. Our objective was to investigate the impact of amyloid positivity on the associations between SDB severity, medial temporal lobe subregions, and episodic memory performance in cognitively unimpaired older adults. METHODS Data were acquired between 2016 and 2020 in the context of the Age-Well randomized controlled trial of the Medit-Aging European project. Participants older than 65 years who were free of neurologic, psychiatric, or chronic medical diseases were recruited from the community. They completed a neuropsychological evaluation, in-home polysomnography, a Florbetapir PET, and an MRI, including a specific high-resolution assessment of the medial temporal lobe and hippocampal subfields. Multiple linear regressions were conducted to test interactions between amyloid status and SDB severity on the volume of MTL subregions, controlling for age, sex, education, and the ApoE4 status. Secondary analyses aimed at investigating the links between SDB, MTL subregional atrophy, and episodic memory performance at baseline and at a mean follow-up of 20.66 months in the whole cohort and in subgroups stratified according to amyloid status. RESULTS We included 122 cognitively intact community-dwelling older adults (mean age ± SD: 69.40 ± 3.85 years, 77 women, 26 Aβ+ individuals) in baseline analyses and 111 at follow-up. The apnea-hypopnea index interacted with entorhinal (β = -0.81, p < 0.001, pη2 = 0.19), whole hippocampal (β = -0.61, p < 0.001, pη2 = 0.10), subiculum (β = -0.56, p = 0.002, pη2 = 0.08), CA1 (β = -0.55, p = 0.002, pη2 = 0.08), and DG (β = -0.53, p = 0.003, pη2 = 0.08) volumes such that a higher sleep apnea severity was related to lower MTL subregion volumes in amyloid-positive individuals, but not in those who were amyloid negative. In the whole cohort, lower whole hippocampal (r = 0.27, p = 0.005) and CA1 (r = 0.28, p = 0.003) volumes at baseline were associated with worse episodic memory performance at follow-up. DISCUSSION Overall, we showed that SDB was associated with MTL atrophy in cognitively asymptomatic older adults engaged in the Alzheimer continuum, which may increase the risk of developing memory impairment over time. TRIAL REGISTRATION INFORMATION ClinicalTrials.gov Identifier: NCT02977819.
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Affiliation(s)
- Claire André
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Elizabeth Kuhn
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Stéphane Rehel
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Valentin Ourry
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Solène Demeilliez-Servouin
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Cassandre Palix
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Francesca Felisatti
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Pierre Champetier
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Sophie Dautricourt
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Paul Yushkevich
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Denis Vivien
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Vincent de La Sayette
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Gaël Chételat
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Robin de Flores
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Géraldine Rauchs
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France.
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12
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Martinez Villar G, Daneault V, Martineau-Dussault MÈ, Baril AA, Gagnon K, Lafond C, Gilbert D, Thompson C, Marchi NA, Lina JM, Montplaisir J, Carrier J, Gosselin N, André C. Altered resting-state functional connectivity patterns in late middle-aged and older adults with obstructive sleep apnea. Front Neurol 2023; 14:1215882. [PMID: 37470008 PMCID: PMC10353887 DOI: 10.3389/fneur.2023.1215882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 06/05/2023] [Indexed: 07/21/2023] Open
Abstract
Introduction Obstructive sleep apnea (OSA) is increasingly recognized as a risk factor for cognitive decline, and has been associated with structural brain alterations in regions relevant to memory processes and Alzheimer's disease. However, it is unclear whether OSA is associated with disrupted functional connectivity (FC) patterns between these regions in late middle-aged and older populations. Thus, we characterized the associations between OSA severity and resting-state FC between the default mode network (DMN) and medial temporal lobe (MTL) regions. Second, we explored whether significant FC changes differed depending on cognitive status and were associated with cognitive performance. Methods Ninety-four participants [24 women, 65.7 ± 6.9 years old, 41% with Mild Cognitive Impairment (MCI)] underwent a polysomnography, a comprehensive neuropsychological assessment and a resting-state functional magnetic resonance imaging (MRI). General linear models were conducted between OSA severity markers (i.e., the apnea-hypopnea, oxygen desaturation and microarousal indices) and FC values between DMN and MTL regions using CONN toolbox. Partial correlations were then performed between OSA-related FC patterns and (i) OSA severity markers in subgroups stratified by cognitive status (i.e., cognitively unimpaired versus MCI) and (ii) cognitive scores in the whole sample. All analyzes were controlled for age, sex and education, and considered significant at a p < 0.05 threshold corrected for false discovery rate. Results In the whole sample, a higher apnea-hypopnea index was significantly associated with lower FC between (i) the medial prefrontal cortex and bilateral hippocampi, and (ii) the left hippocampus and both the posterior cingulate cortex and precuneus. FC patterns were not associated with the oxygen desaturation index, or micro-arousal index. When stratifying the sample according to cognitive status, all associations remained significant in cognitively unimpaired individuals but not in the MCI group. No significant associations were observed between cognition and OSA severity or OSA-related FC patterns. Discussion OSA severity was associated with patterns of lower FC in regions relevant to memory processes and Alzheimer's disease. Since no associations were found with cognitive performance, these FC changes could precede detectable cognitive deficits. Whether these FC patterns predict future cognitive decline over the long-term needs to be investigated.
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Affiliation(s)
- Guillermo Martinez Villar
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montréal, QC, Canada
- Department of Psychology, Université de Montréal, Montréal, QC, Canada
| | - Véronique Daneault
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montréal, QC, Canada
| | - Marie-Ève Martineau-Dussault
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montréal, QC, Canada
- Department of Psychology, Université de Montréal, Montréal, QC, Canada
| | - Andrée-Ann Baril
- Douglas Mental Health Institute, McGill University, Montréal, QC, Canada
| | - Katia Gagnon
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montréal, QC, Canada
- Laboratory and Sleep Clinic, Hôpital en Santé Mentale Rivière-des-Prairies, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montréal, QC, Canada
| | - Chantal Lafond
- Department of Pulmonology, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montréal, QC, Canada
- Department of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Danielle Gilbert
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, QC, Canada
- Department of Radiology, Hopital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l'Ile-de, Montréal, QC, Canada
| | - Cynthia Thompson
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montréal, QC, Canada
| | - Nicola Andrea Marchi
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montréal, QC, Canada
- Department of Psychology, Université de Montréal, Montréal, QC, Canada
- Center for Investigation and Research in Sleep, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Jean-Marc Lina
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montréal, QC, Canada
- Département de Génie Electrique, École de Technologie Supérieure, Montréal, QC, Canada
| | - Jacques Montplaisir
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montréal, QC, Canada
- Department of Psychiatry, Université de Montréal, Montréal, QC, Canada
| | - Julie Carrier
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montréal, QC, Canada
- Department of Psychology, Université de Montréal, Montréal, QC, Canada
| | - Nadia Gosselin
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montréal, QC, Canada
- Department of Psychology, Université de Montréal, Montréal, QC, Canada
| | - Claire André
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montréal, QC, Canada
- Department of Psychology, Université de Montréal, Montréal, QC, Canada
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13
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Matsumoto Y, Nakae R, Sekine T, Kodani E, Warnock G, Igarashi Y, Tagami T, Murai Y, Suzuki K, Yokobori S. Rapidly progressive cerebral atrophy following a posterior cranial fossa stroke: Assessment with semiautomatic CT volumetry. Acta Neurochir (Wien) 2023; 165:1575-1584. [PMID: 37119319 DOI: 10.1007/s00701-023-05609-3] [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: 01/31/2023] [Accepted: 04/25/2023] [Indexed: 05/01/2023]
Abstract
BACKGROUND The effect of posterior cranial fossa stroke on changes in cerebral volume is not known. We assessed cerebral volume changes in patients with acute posterior fossa stroke using CT scans, and looked for risk factors for cerebral atrophy. METHODS Patients with cerebellar or brainstem hemorrhage/infarction admitted to the ICU, and who underwent at least two subsequent inpatient head CT scans during hospitalization were included (n = 60). The cerebral volume was estimated using an automatic segmentation method. Patients with cerebral volume reduction > 0% from the first to the last scan were defined as the "cerebral atrophy group (n = 47)," and those with ≤ 0% were defined as the "no cerebral atrophy group (n = 13)." RESULTS The cerebral atrophy group showed a significant decrease in cerebral volume (first CT scan: 0.974 ± 0.109 L vs. last CT scan: 0.927 ± 0.104 L, P < 0.001). The mean percentage change in cerebral volume between CT scans in the cerebral atrophy group was -4.7%, equivalent to a cerebral volume of 46.8 cm3, over a median of 17 days. The proportions of cases with a history of hypertension, diabetes mellitus, and median time on mechanical ventilation were significantly higher in the cerebral atrophy group than in the no cerebral atrophy group. CONCLUSIONS Many ICU patients with posterior cranial fossa stroke showed signs of cerebral atrophy. Those with rapidly progressive cerebral atrophy were more likely to have a history of hypertension or diabetes mellitus and required prolonged ventilation.
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Affiliation(s)
- Yoshiyuki Matsumoto
- Department of Emergency and Critical Care Medicine, Nippon Medical School Hospital, 1-1-5, Sendagi, Bunkyo-Ku, Tokyo, 113-8603, Japan
| | - Ryuta Nakae
- Department of Emergency and Critical Care Medicine, Nippon Medical School Hospital, 1-1-5, Sendagi, Bunkyo-Ku, Tokyo, 113-8603, Japan.
| | - Tetsuro Sekine
- Department of Radiology, Nippon Medical School Musashi Kosugi Hospital, Kanagawa, Japan
| | - Eigo Kodani
- Department of Radiology, Nippon Medical School Musashi Kosugi Hospital, Kanagawa, Japan
| | | | - Yutaka Igarashi
- Department of Emergency and Critical Care Medicine, Nippon Medical School Hospital, 1-1-5, Sendagi, Bunkyo-Ku, Tokyo, 113-8603, Japan
| | - Takashi Tagami
- Department of Emergency and Critical Care Medicine, Nippon Medical School Musashi Kosugi Hospital, Kanagawa, Japan
| | - Yasuo Murai
- Department of Neurological Surgery, Nippon Medical School Hospital, Tokyo, Japan
| | - Kensuke Suzuki
- Department of Neurosurgery, Dokkyo Medical University Saitama Medical Center, Saitama, Japan
| | - Shoji Yokobori
- Department of Emergency and Critical Care Medicine, Nippon Medical School Hospital, 1-1-5, Sendagi, Bunkyo-Ku, Tokyo, 113-8603, Japan
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14
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Wang J, Li Y, Ji L, Su T, Cheng C, Han F, Cox DJ, Wang E, Chen R. The complex interplay of hypoxia and sleep disturbance in gray matter structure alterations in obstructive sleep apnea patients. Front Aging Neurosci 2023; 15:1090547. [PMID: 37065466 PMCID: PMC10102425 DOI: 10.3389/fnagi.2023.1090547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 03/10/2023] [Indexed: 04/03/2023] Open
Abstract
BackgroundObstructive Sleep Apnea (OSA) characteristically leads to nocturnal hypoxia and sleep disturbance. Despite clear evidence of OSA-induced cognitive impairments, the literature offers no consensus on the relationship between these pathophysiological processes and brain structure alterations in patients.ObjectiveThis study leverages the robust technique of structural equation modeling to investigate how hypoxia and sleep disturbance exert differential effects on gray matter structures.MethodsSeventy-four Male participants were recruited to undergo overnight polysomnography and T1-weighted Magnetic Resonance Imaging. Four structural outcome parameters were extracted, namely, gray matter volume, cortical thickness, sulcal depth, and fractal dimension. Structural equation models were constructed with two latent variables (hypoxia, and sleep disturbance) and three covariates (age, body mass index, and education) to examine the association between gray matter structural changes in OSA and the two latent variables, hypoxia and sleep disturbance.ResultsThe structural equation models revealed hypoxia-associated changes in diverse regions, most significantly in increased gray matter volume, cortical thickness and sulcal depth. In contrast, sleep disturbance. Was shown to be largely associated with reduce gray matter volume and sulcal depth.ConclusionThis study provides new evidence showing significant effects of OSA-induced hypoxia and sleep disturbance on gray matter volume and morphology in male patients with obstructive sleep apnea. It also demonstrates the utility of robust structural equation models in examining obstructive sleep apnea pathophysiology.
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Affiliation(s)
- Jing Wang
- Department of Respiratory, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Sleeping Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yezhou Li
- School of Biological Sciences, University of Manchester, Manchester, United Kingdom
| | - Lirong Ji
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Tong Su
- Department of Respiratory, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Sleeping Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Chaohong Cheng
- Department of Respiratory, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Sleeping Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Fei Han
- Department of Sleeping Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Daniel J. Cox
- Division of Psychology, Communication, and Human Neuroscience, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Erlei Wang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Rui Chen
- Department of Respiratory, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Sleeping Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
- *Correspondence: Rui Chen,
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15
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Marchi NA, Pizzarotti B, Solelhac G, Berger M, Haba‐Rubio J, Preisig M, Vollenweider P, Marques‐Vidal P, Lutti A, Kherif F, Heinzer R, Draganski B. Abnormal brain iron accumulation in obstructive sleep apnea: A quantitative MRI study in the HypnoLaus cohort. J Sleep Res 2022; 31:e13698. [PMID: 35830960 PMCID: PMC9787990 DOI: 10.1111/jsr.13698] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 05/23/2022] [Accepted: 06/28/2022] [Indexed: 12/30/2022]
Abstract
Obstructive sleep apnea syndrome (OSA) may be a risk factor for Alzheimer's disease. One of the hallmarks of Alzheimer's disease is disturbed iron homeostasis leading to abnormal iron deposition in brain tissue. To date, there is no empirical evidence to support the hypothesis of altered brain iron homeostasis in patients with obstructive sleep apnea as well. Data were analysed from 773 participants in the HypnoLaus study (mean age 55.9 ± 10.3 years) who underwent polysomnography and brain MRI. Cross-sectional associations were tested between OSA parameters and the MRI effective transverse relaxation rate (R2*) - indicative of iron content - in 68 grey matter regions, after adjustment for confounders. The group with severe OSA (apnea-hypopnea index ≥30/h) had higher iron levels in the left superior frontal gyrus (F3,760 = 4.79, p = 0.003), left orbital gyri (F3,760 = 5.13, p = 0.002), right and left middle temporal gyrus (F3,760 = 4.41, p = 0.004 and F3,760 = 13.08, p < 0.001, respectively), left angular gyrus (F3,760 = 6.29, p = 0.001), left supramarginal gyrus (F3,760 = 4.98, p = 0.003), and right cuneus (F3,760 = 7.09, p < 0.001). The parameters of nocturnal hypoxaemia were all consistently associated with higher iron levels. Measures of sleep fragmentation had less consistent associations with iron content. This study provides the first evidence of increased brain iron levels in obstructive sleep apnea. The observed iron changes could reflect underlying neuropathological processes that appear to be driven primarily by hypoxaemic mechanisms.
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Affiliation(s)
- Nicola Andrea Marchi
- Centre for Investigation and Research on Sleep, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland,Laboratory for Research in Neuroimaging, Department of Clinical NeurosciencesLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Beatrice Pizzarotti
- Laboratory for Research in Neuroimaging, Department of Clinical NeurosciencesLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Geoffroy Solelhac
- Centre for Investigation and Research on Sleep, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Mathieu Berger
- Centre for Investigation and Research on Sleep, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - José Haba‐Rubio
- Centre for Investigation and Research on Sleep, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Martin Preisig
- Centre for Research in Psychiatric Epidemiology and Psychopathology, Department of PsychiatryLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Peter Vollenweider
- Service of Internal Medicine, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Pedro Marques‐Vidal
- Service of Internal Medicine, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Antoine Lutti
- Laboratory for Research in Neuroimaging, Department of Clinical NeurosciencesLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Ferath Kherif
- Laboratory for Research in Neuroimaging, Department of Clinical NeurosciencesLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Raphael Heinzer
- Centre for Investigation and Research on Sleep, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Bogdan Draganski
- Laboratory for Research in Neuroimaging, Department of Clinical NeurosciencesLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland,Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
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16
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Sundbom F, Janson C, Ljunggren M, Lindberg E. Asthma and asthma-related comorbidity: effects on nocturnal oxygen saturation. J Clin Sleep Med 2022; 18:2635-2641. [PMID: 35924855 PMCID: PMC9622994 DOI: 10.5664/jcsm.10178] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/27/2022] [Accepted: 06/29/2022] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES Nocturnal symptoms are very common in asthma, which is associated with worse sleep quality. The nocturnal oxygen saturation may be decreased in asthma; however, whether this association is dependent on nocturnal asthma symptoms, lung function, coexisting obstructive sleep apnea (OSA), or other asthma-related comorbidities is unknown. The objective of this study was to examine the effects of asthma, OSA, lung function, airway symptoms, and asthma-related comorbidities on the nocturnal oxygen saturation in a cross-sectional community-based population study. METHODS In total, 395 women and 392 men underwent overnight polysomnography, performed spirometry, and completed questionnaires on airway symptoms and asthma-related comorbidities. RESULTS Participants with asthma (n = 88) had a lower nocturnal oxygen saturation than those without asthma (93.8% vs 94.3%, P = .01) also after adjusting for comorbidity, age, body mass index, and smoking status (coefficient -0.38; CI -0.67, -0.10; P < .01). The nocturnal oxygen saturation was lower among participants with wheezing, nocturnal chest tightness, fixed airflow limitation, gastroesophageal reflux, obesity, and OSA than in those without these conditions. The associations between lower oxygen saturation and wheezing, forced expiratory volume in 1 second, gastroesophageal reflux, and apnea-hypopnea index were significant also after adjusting for age, sex, body mass index, and smoking status. Participants with both wheezing and OSA had a significantly lower nocturnal oxygen saturation (92.5 ± 0.5%) than participants with wheezing only (94.3 ± 0.3%) and OSA only (93.6 ± 0.2% %) (P < .01). CONCLUSIONS Participants with asthma displayed a lower mean oxygen saturation during sleep, which could not be explained only by coexisting OSA or obesity. Also, asthma symptoms and lung function were associated with lower nocturnal oxygen saturation. The lower oxygen saturation seen in asthma is hence multifactorial in origin and is a result of the combination of symptoms, lung function, and comorbidity. CITATION Sundbom F, Janson C, Ljunggren M, Lindberg E. Asthma and asthma-related comorbidity: effects on nocturnal oxygen saturation. J Clin Sleep Med. 2022;18(11):2635-2641.
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Affiliation(s)
- Fredrik Sundbom
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Christer Janson
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Mirjam Ljunggren
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Eva Lindberg
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
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17
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Martineau-Dussault MÈ, André C, Daneault V, Baril AA, Gagnon K, Blais H, Petit D, Montplaisir JY, Lorrain D, Bastien C, Hudon C, Descoteaux M, Boré A, Theaud G, Thompson C, Legault J, Martinez Villar GE, Lafrenière A, Lafond C, Gilbert D, Carrier J, Gosselin N. Medial temporal lobe and obstructive sleep apnea: Effect of sex, age, cognitive status and free-water. Neuroimage Clin 2022; 36:103235. [PMID: 36272339 PMCID: PMC9668668 DOI: 10.1016/j.nicl.2022.103235] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 09/23/2022] [Accepted: 10/15/2022] [Indexed: 11/06/2022]
Abstract
Medial temporal structures, namely the hippocampus, the entorhinal cortex and the parahippocampal gyrus, are particularly vulnerable to Alzheimer's disease and hypoxemia. Here, we tested the associations between obstructive sleep apnea (OSA) severity and medial temporal lobe volumes in 114 participants aged 55-86 years (35 % women). We also investigated the impact of sex, age, cognitive status, and free-water fraction correction on these associations. Increased OSA severity was associated with larger hippocampal and entorhinal cortex volumes in women, but not in men. Greater OSA severity also correlated with increased hippocampal volumes in participants with amnestic mild cognitive impairment, but not in cognitively unimpaired participants, regardless of sex. Using free-water corrected volumes eliminated all significant associations with OSA severity. Therefore, the increase in medial temporal subregion volumes may possibly be due to edema. Whether these structural manifestations further progress to neuronal death in non-treated OSA patients should be investigated.
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Affiliation(s)
- Marie-Ève Martineau-Dussault
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Claire André
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Véronique Daneault
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Centre de recherche de l’Institut universitaire de gériatrie de Montréal, CIUSSS du Centre-Sud-de l’Île-de-Montréal, Montreal, Canada
| | - Andrée-Ann Baril
- Department of Psychiatry, McGill University, Montreal, Canada,Douglas Mental Health University Institute, CIUSSS de l'Ouest-de-l'Ile-de-Montréal, Montreal, Canada
| | - Katia Gagnon
- Hôpital en santé mentale Rivière-des-Prairies, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychiatry, Université de Montréal, Montreal, Canada
| | - Hélène Blais
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada
| | - Dominique Petit
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychiatry, Université de Montréal, Montreal, Canada
| | - Jacques Y. Montplaisir
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychiatry, Université de Montréal, Montreal, Canada
| | - Dominique Lorrain
- Research Center on Aging, Institut universitaire de gériatrie de Sherbrooke, CIUSSS de l’Estrie, Sherbrooke, Canada,Department of Psychology, Université de Sherbrooke, Sherbrooke, Canada
| | - Célyne Bastien
- CERVO Research Center, Quebec City, Canada,École de psychologie, Université Laval, Quebec City, Canada
| | - Carol Hudon
- CERVO Research Center, Quebec City, Canada,École de psychologie, Université Laval, Quebec City, Canada
| | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada,Imeka Solutions Inc, Sherbrooke, Canada
| | - Arnaud Boré
- Centre de recherche de l’Institut universitaire de gériatrie de Montréal, CIUSSS du Centre-Sud-de l’Île-de-Montréal, Montreal, Canada,Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada,Imeka Solutions Inc, Sherbrooke, Canada
| | - Guillaume Theaud
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada,Imeka Solutions Inc, Sherbrooke, Canada
| | - Cynthia Thompson
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada
| | - Julie Legault
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Guillermo E. Martinez Villar
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Alexandre Lafrenière
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Chantal Lafond
- Department of Medecine, Université de Montréal, Montreal, Canada,Department of Pneumonology, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada
| | - Danielle Gilbert
- Department of Radiology, Radio-oncology and Nuclear Medicine, Université de Montréal, Montreal, Canada,Department of Radiology, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Canada
| | - Julie Carrier
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada,Centre de recherche de l’Institut universitaire de gériatrie de Montréal, CIUSSS du Centre-Sud-de l’Île-de-Montréal, Montreal, Canada
| | - Nadia Gosselin
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada,Corresponding author at: Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, CIUSSS du Nord-de l’Ile-de-Montréal, 5400 Gouin Blvd. West, Office J-5135, Montreal, Quebec H4J 1C5, Canada.
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The Impact of Mouth-Taping in Mouth-Breathers with Mild Obstructive Sleep Apnea: A Preliminary Study. Healthcare (Basel) 2022; 10:healthcare10091755. [PMID: 36141367 PMCID: PMC9498537 DOI: 10.3390/healthcare10091755] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/11/2022] [Accepted: 09/11/2022] [Indexed: 11/23/2022] Open
Abstract
Background: Many patients with obstructive sleep apnea (OSA) are mouth-breathers. Mouth-breathing not only narrows the upper airway, consequently worsening the severity of OSA, but also it affects compliance with nasal continuous positive airway pressure (CPAP) treatment. This study aimed to investigate changes in OSA by the use of mouth tape in mouth-breathers with mild OSA. Method: Mouth-breathers with mild OSA who met inclusion criteria and tolerated the sealing of the mouth were enrolled in the study. We used 3M silicone hypoallergenic tape was used to seal the mouths of the participants during sleep. The home sleep test (HST) used in this study was ApneaLink®. Subjects received both a baseline HST and an outcome HST to be used 1 week later while their mouths were taped. The changes between the baseline and the outcome HSTs were compared, and the factors that influenced the differences in the sleep-test parameters after the shift of the breathing route were analyzed. A “responder” was defined as a patient who experienced a reduction from the baseline snoring index of at least 50% under mouth-taping in the HST; otherwise, patients were considered as having a poor response. Results: A total of 20 patients with mild OSA were included. Following the taping of the mouth, a good response was found in 13 patients (65%). The median apnea/hypopnea index (AHI) decreased significantly, from 8.3 to 4.7 event/h (by 47%, p = 0.0002), especially in supine AHI (9.4 vs. 5.5 event/h, p = 0.0001). The median snoring index (SI) was also improved (by 47%, 303.8 vs. 121.1 event/h, p = 0.0002). Despite no significant difference in the mean saturation, improvements in the oxygen desaturation index (8.7 vs. 5.8, p = 0.0003) and the lowest saturation (82.5% vs. 87%, p = 0.049) were noted. The change in AHI was associated with baseline AHI (r = −0.52, p = 0.02), oxygen desaturation index (ODI) (r = −0.54, p = 0.01), and SI (r = −0.47, p = 0.04). The change in SI was strongly associated with baseline SI (r = −0.77, p = 0.001). Conclusions: Mouth-taping during sleep improved snoring and the severity of sleep apnea in mouth-breathers with mild OSA, with AHI and SI being reduced by about half. The higher the level of baseline AHI and SI, the greater the improvement was shown after mouth-taping. Mouth-taping could be an alternative treatment in patients with mild OSA before turning to CPAP therapy or surgical intervention.
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19
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Fokin VF, Ponomareva NV, Medvedev RB, Konovalov RN, Krotenkova MV, Lagoda OV, Tanashyan MM. Resistive index of internal carotid artery and brain networks in patients with chronic cerebral ischemia. BULLETIN OF RUSSIAN STATE MEDICAL UNIVERSITY 2021. [DOI: 10.24075/brsmu.2021.055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Quantitative assessment of cerebral hemodynamics is important for patients with chronic cerebral ischemia (CCI), as it helps to reveal the pathogenesis of the disease and set the course for effective prevention and treatment. The study was aimed to assess the correlation of the left carotid artery (ICA) resistive index (RI) with cognitive functions and brain network organization based on fMRI data in patients with CCI (51 males and 105 females). The listed above indicators were studied in patients with the left ICA RI values below and above the average (0.54 ± 0.013). The lower, normal physiological ICA resistance levels corresponded to the more successful realization of verbal cognitive functions. In the first group, RI was within normal range (RI = 0.42 ± 0.007), and in the second group RI exceeded normal levels (RI = 0.61 ± 0.01). Variation of the right ICA RI did not correlate with the characteristics of verbal cognitive functions. FMRI data analysis was used to assess the differences in connectivity between various brain regions in the groups with low and high RI. The normal physiological and elevated RI values of the left ICA correlated with differences in the organization of brain networks: normal physiological RI values corresponded to a better organization of hemispheric connections in the basal ganglia and brainstem, and high RI values corresponded to a better organization of connections between the frontal regions and the cerebellum as well as occipital areas of the cerebral cortex. The left ICA RI can be considered as a biomarker of cognitive decline and brain networks reorganization in patients with CCI.
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Affiliation(s)
- VF Fokin
- Research Center of Neurology, Moscow, Russia
| | | | - RB Medvedev
- Research Center of Neurology, Moscow, Russia
| | | | | | - OV Lagoda
- Research Center of Neurology, Moscow, Russia
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20
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Lechat B, Scott H, Naik G, Hansen K, Nguyen DP, Vakulin A, Catcheside P, Eckert DJ. New and Emerging Approaches to Better Define Sleep Disruption and Its Consequences. Front Neurosci 2021; 15:751730. [PMID: 34690688 PMCID: PMC8530106 DOI: 10.3389/fnins.2021.751730] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 09/16/2021] [Indexed: 01/07/2023] Open
Abstract
Current approaches to quantify and diagnose sleep disorders and circadian rhythm disruption are imprecise, laborious, and often do not relate well to key clinical and health outcomes. Newer emerging approaches that aim to overcome the practical and technical constraints of current sleep metrics have considerable potential to better explain sleep disorder pathophysiology and thus to more precisely align diagnostic, treatment and management approaches to underlying pathology. These include more fine-grained and continuous EEG signal feature detection and novel oxygenation metrics to better encapsulate hypoxia duration, frequency, and magnitude readily possible via more advanced data acquisition and scoring algorithm approaches. Recent technological advances may also soon facilitate simple assessment of circadian rhythm physiology at home to enable sleep disorder diagnostics even for “non-circadian rhythm” sleep disorders, such as chronic insomnia and sleep apnea, which in many cases also include a circadian disruption component. Bringing these novel approaches into the clinic and the home settings should be a priority for the field. Modern sleep tracking technology can also further facilitate the transition of sleep diagnostics from the laboratory to the home, where environmental factors such as noise and light could usefully inform clinical decision-making. The “endpoint” of these new and emerging assessments will be better targeted therapies that directly address underlying sleep disorder pathophysiology via an individualized, precision medicine approach. This review outlines the current state-of-the-art in sleep and circadian monitoring and diagnostics and covers several new and emerging approaches to better define sleep disruption and its consequences.
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Affiliation(s)
- Bastien Lechat
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Hannah Scott
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Ganesh Naik
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Kristy Hansen
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Duc Phuc Nguyen
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Andrew Vakulin
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Peter Catcheside
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Danny J Eckert
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
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21
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Current Management of Residual Excessive Daytime Sleepiness Due to Obstructive Sleep Apnea: Insights for Optimizing Patient Outcomes. Neurol Ther 2021; 10:651-672. [PMID: 34658002 PMCID: PMC8520824 DOI: 10.1007/s40120-021-00289-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 10/01/2021] [Indexed: 02/04/2023] Open
Abstract
Although excessive daytime sleepiness (EDS) attributable to obstructive sleep apnea (OSA) can be resolved by consistent usage of and effective treatment (often with the use of continuous positive airway pressure therapy), 12–58% of patients report residual EDS (REDS). While REDS is difficult to treat, a proportion of cases are possibly due to reversible issues, and wake-promoting medications can prove useful for the remaining cases. Given the challenges associated with effective management of REDS and its relationship to multiple comorbidities, multidisciplinary management of patients with REDS is often recommended. Here we aim to bridge the knowledge gap on the burden, risk factors, prevalence, and potential pathophysiologic mechanisms of REDS in patients with OSA after first-line treatment. The roles of primary care physicians and sleep specialists, as well as the importance of the use of objective assessment tools for the evaluation of REDS and the effective management of comorbidities, are discussed. An update of approved treatments and emerging candidate treatments is also presented.
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22
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Abstract
Abstract
Purpose of Review
Obstructive sleep apnoea (OSA) is increasingly found to have an impact on neurodegeneration. In this review, we summarise recent findings on the association between OSA and brain morphology, cognition, and processes related to Alzheimer’s dementia (AD) and Parkinson’s disease (PD).
Recent Findings
Associations between OSA and alterations in grey and white matter, brain diffusivity, and deficits in memory, attention, and executive control were reported. Furthermore, OSA was correlated with higher risks of developing AD and PD and associated pathophysiology. Treatment was found to alleviate but not reverse some of the damage.
Summary
There are strong indications that OSA plays a major role in neurodegenerative processes. The broad picture however remains elusive, likely due to insufficient sample sizes, heterogeneous outcomes, and OSA definitions failing to quantify the disorder’s sub-processes. While studies resolving these issues are required, the available evidence shows OSA to be a promising target to slow neurodegeneration and delay the onset of related disorders.
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23
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Fernandes M, Placidi F, Mercuri NB, Liguori C. The Importance of Diagnosing and the Clinical Potential of Treating Obstructive Sleep Apnea to Delay Mild Cognitive Impairment and Alzheimer's Disease: A Special Focus on Cognitive Performance. J Alzheimers Dis Rep 2021; 5:515-533. [PMID: 34368635 PMCID: PMC8293664 DOI: 10.3233/adr-210004] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/19/2021] [Indexed: 12/23/2022] Open
Abstract
Obstructive sleep apnea (OSA) is a highly frequent sleep disorder in the middle-aged and older population, and it has been associated with an increased risk of developing cognitive decline and dementia, including mild cognitive impairment (MCI) and Alzheimer's disease (AD). In more recent years, a growing number of studies have focused on: 1) the presence of OSA in patients with MCI or AD, 2) the link between OSA and markers of AD pathology, and 3) the role of OSA in accelerating cognitive deterioration in patients with MCI or AD. Moreover, some studies have also assessed the effects of continuous positive airway pressure (CPAP) treatment on the cognitive trajectory in MCI and AD patients with comorbid OSA. This narrative review summarizes the findings of studies that analyzed OSA as a risk factor for developing MCI and/or AD in the middle-aged and older populations with a special focus on cognition. In addition, it describes the results regarding the effects of CPAP treatment in hampering the progressive cognitive decline in AD and delaying the conversion to AD in MCI patients. Considering the importance of identifying and treating OSA in patients with MCI or AD in order to prevent or reduce the progression of cognitive decline, further larger and adequately powered studies are needed both to support these findings and to set programs for the early recognition of OSA in patients with cognitive impairment.
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Affiliation(s)
- Mariana Fernandes
- Sleep Medicine Centre, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Fabio Placidi
- Sleep Medicine Centre, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.,Neurology Unit, University Hospital of Rome Tor Vergata, Rome, Italy
| | - Nicola Biagio Mercuri
- Neurology Unit, University Hospital of Rome Tor Vergata, Rome, Italy.,IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Claudio Liguori
- Sleep Medicine Centre, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.,Neurology Unit, University Hospital of Rome Tor Vergata, Rome, Italy
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24
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Ramos AR, Alperin N, Lee S, Gonzalez KA, Tarraf W, Hernandez-Cardenache R. Cognitive and Neuroimaging Correlates of the Insomnia Severity Index in Obstructive Sleep Apnea: A Pilot-Study. APPLIED SCIENCES-BASEL 2021; 11. [PMID: 34221490 PMCID: PMC8253601 DOI: 10.3390/app11125314] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
We aim to determine the sleep correlates of age-related brain loss in a sample of middle-aged to older males with obstructive sleep apnea (OSA). We recruited consecutive treatment naïve male patients with moderate to severe OSA from January to November of 2019. We excluded participants if they had dementia, stroke or heart disease. We collected demographic variables and vascular risk factors. We also obtained the insomnia severity index, the Epworth sleepiness scale and the Pittsburgh sleep quality index. We also obtained computerized neurocognitive testing with the go-no-go response inhibition test, Stroop interference test, catch game test, staged information processing speed test, verbal memory test and non-verbal memory test. We derived age and education adjusted domain-specific Z-scores for global cognition, memory, attention, processing speed and executive function. We used brain MRI T1-weighted images to derive total hippocampal and gray matter volumes. Partial correlations evaluated associations between variables from sleep questionnaires (e.g., insomnia severity index score), and polysomnographic variables (the apnea-hypopnea index, average oxygen levels during sleep) with cognitive domains and brain volumes. We examined 16 participants with an age range of 40–76 years, 73% Hispanic/Latino. The mean apnea-hypopnea index was 48.9 ± 25.5 and average oxygen saturation during sleep was 91.4% ± 6.9%. Hypertension was seen in 66% and diabetes mellitus in 27%. We found that the insomnia severity index score and average oxygen levels during sleep had the strongest correlations with brain volumes and cognition. These preliminary findings may aid in developing future strategies to improve age-related brain loss in patients with OSA.
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Affiliation(s)
- Alberto R. Ramos
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- Correspondence:
| | - Noam Alperin
- Department of Radiology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Sang Lee
- Department of Radiology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Kevin A. Gonzalez
- Department of Neuroscience, University of California, San Diego, CA 92093, USA
| | - Wassim Tarraf
- Department of Health Care Sciences, Institute of Gerontology, Wayne State University, Detroit, MI 48202, USA
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25
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Hermesdorf M, Szentkirályi A, Teismann H, Teismann I, Young P, Berger K. Sleep characteristics, cognitive performance, and gray matter volume: findings from the BiDirect Study. Sleep 2021; 44:5919359. [PMID: 33029624 DOI: 10.1093/sleep/zsaa209] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 09/24/2020] [Indexed: 11/15/2022] Open
Abstract
STUDY OBJECTIVES Sleep is essential for restorative metabolic changes and its physiological correlates can be examined using overnight polysomnography. However, the association between physiological sleep characteristics and brain structure is not well understood. We aimed to investigate gray matter volume and cognitive performance related to physiological sleep characteristics. METHODS Polysomnographic recordings from 190 community-dwelling participants were analyzed with a principal component analysis in order to identify and aggregate shared variance into principal components. The relationship between aggregated sleep components and gray matter volume was then analyzed using voxel-based morphometry. In addition, we explored how cognitive flexibility, selective attention, and semantic fluency were related to aggregated sleep components and gray matter volume. RESULTS Three principal components were identified from the polysomnographic recordings. The first component, primarily described by apnea events and cortical arousal, was significantly associated with lower gray matter volume in the left frontal pole. This apnea-related component was furthermore associated with lower cognitive flexibility and lower selective attention. CONCLUSIONS Sleep disrupted by cortical arousal and breathing disturbances is paralleled by lower gray matter volume in the frontal pole, a proposed hub for the integration of cognitive processes. The observed effects provide new insights on the interplay between disrupted sleep, particularly breathing disturbances and arousal, and the brain.
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Affiliation(s)
- Marco Hermesdorf
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - András Szentkirályi
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Inga Teismann
- Department for Stroke and Respiratory Medicine, Alexianer Misericordia GmbH, Münster, Germany
| | - Peter Young
- Department of Neurology, Medical Park Bad Feilnbach, Bad Feilnbach, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
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26
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Zhang Y, Kong Y, Yang Y, Yin Y, Hou Z, Xu Z, Yuan Y. Asthma-Specific Temporal Variability Reveals the Effect of Group Cognitive Behavior Therapy in Asthmatic Patients. Front Neurol 2021; 12:615820. [PMID: 33776882 PMCID: PMC7994749 DOI: 10.3389/fneur.2021.615820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 02/15/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Group cognitive behavior therapy (GCBT) is a successful therapy for asthma. However, the neural biomarker of GCBT which could be used in clinic remains unclear. The temporal variability is a novel concept to characterize the dynamic functional connectivity (FC), which has many advantages as biomarker. Therefore, the aim of this study is to explore the potential difference of temporal variability between asthmatic patients and healthy controls, then determine the different patterns of temporal variability between pre- and post-treatment group and reveal the relationship between the variability and the symptoms improvement reduced by GCBT. Methods: At baseline, 40 asthmatic patients and 40 matched controls received resting-state functional magnetic resonance imaging (fMRI) scans and clinical assessments. After 8 weeks of GCBT treatment, 17 patients received fMRI scans, and assessments again. Temporal variability at baseline and post-treatment were calculated for further analysis. Results: Compared with controls, asthmatic patients showed widespread decreases in temporal variability. Moreover, the variability in both right caudate and left putamen were positively correlated with asthma control level. After GCBT, asthma control level and depression of patients were improved. Meanwhile, compared with pre-GCBT, patients after treatment showed lower variability in left opercular of Rolandic, right parahippocampal gyrus and right lingual gyrus, as well as higher variability in left temporal pole. Variability in regions which were found abnormal at baseline did not exhibit significant differences between post-GCBT and controls. Conclusions: Asthma-specific changes of dynamic functional connectivity may serve as promising underpinnings of GCBT for asthma. Clinical Trial Registration: http://www.chictr.org.cn/index.aspx, identifier: Chi-CTR-15007442.
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Affiliation(s)
- Yuqun Zhang
- School of Nursing, Nanjing University of Chinese Medicine, Nanjing, China.,Department of Psychosomatic and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Youyong Kong
- Lab of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, School of Computer Science and Engineering, Ministry of Education, Southeast University, Nanjing, China
| | - Yuan Yang
- Department of Respiratory, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yingyin Yin
- Department of Psychosomatic and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Zhenghua Hou
- Department of Psychosomatic and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Zhi Xu
- Department of Psychosomatic and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yonggui Yuan
- Department of Psychosomatic and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
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27
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Baril AA, Martineau-Dussault MÈ, Sanchez E, André C, Thompson C, Legault J, Gosselin N. Obstructive Sleep Apnea and the Brain: a Focus on Gray and White Matter Structure. Curr Neurol Neurosci Rep 2021; 21:11. [PMID: 33586028 DOI: 10.1007/s11910-021-01094-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/13/2021] [Indexed: 12/24/2022]
Abstract
PURPOSE OF REVIEW Obstructive sleep apnea is extremely prevalent in the elderly and may precipitate dementia. We review recent advances on gray and white matter structure in obstructive sleep apnea, the impact of treatment, and potential pathological and neurodegenerative processes underlying brain structural changes. RECENT FINDINGS Two opposite patterns are observed in neuroimaging studies of obstructive sleep apnea. One may indicate cellular damage (gray matter atrophy, higher white matter hyperintensity burden, lower white matter fractional anisotropy, higher water diffusivities), while the other (gray matter hypertrophy, restricted white matter diffusivities) may reflect transitory responses, such as intracellular edema, reactive gliosis or compensatory structural changes. Treating obstructive sleep apnea could partly reverse these structural changes. Structural alterations related to obstructive sleep apnea may follow a multi-determined biphasic pattern depending on numerous factors (e.g. severity, symptomatology, age) that could tip the scale toward neurodegeneration and need to be investigated by longitudinal studies.
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Affiliation(s)
- Andrée-Ann Baril
- The Framingham Heart Study, Boston University School of Medicine, Boston, MA, USA
| | - Marie-Ève Martineau-Dussault
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal, 5400 boul. Gouin Ouest, local J-5135, Montréal, Québec, H4J 1C5, Canada.,Department of Psychology, Université de Montréal, Montréal, Canada
| | - Erlan Sanchez
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal, 5400 boul. Gouin Ouest, local J-5135, Montréal, Québec, H4J 1C5, Canada.,Department of Neuroscience, Université de Montréal, Montréal, Canada
| | - Claire André
- Physiopathology and Imaging of Neurological Disorders, Institut National de la Santé et de la Recherche Médicale, Institut Blood and Brain, Université de Caen, Normandie Université, GIP Cyceron, Caen, France.,Neuropsychologie et Imagerie de la Mémoire Humain, Institut National de la Santé et de la Recherche Médicale, Centre Hospitalier Universitaire de Caen, Université de Caen, Normandie Université, Paris Sciences & Lettres Université, École Pratique des Hautes Études, GIP Cyceron, Caen, France
| | - Cynthia Thompson
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal, 5400 boul. Gouin Ouest, local J-5135, Montréal, Québec, H4J 1C5, Canada
| | - Julie Legault
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal, 5400 boul. Gouin Ouest, local J-5135, Montréal, Québec, H4J 1C5, Canada.,Department of Psychology, Université de Montréal, Montréal, Canada
| | - Nadia Gosselin
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal, 5400 boul. Gouin Ouest, local J-5135, Montréal, Québec, H4J 1C5, Canada. .,Department of Psychology, Université de Montréal, Montréal, Canada.
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