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Young VM, Bernal R, Baril A, Zeynoun J, Wiedner C, Gaona C, Beiser A, Teixeira AL, Salardini A, Pase MP, Himali JJ, Seshadri S. Long sleep duration, cognitive performance, and the moderating role of depression: A cross-sectional analysis in the Framingham Heart Study. Alzheimers Dement 2025; 21:e70160. [PMID: 40257009 PMCID: PMC12010301 DOI: 10.1002/alz.70160] [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: 12/05/2024] [Revised: 03/10/2025] [Accepted: 03/11/2025] [Indexed: 04/22/2025]
Abstract
INTRODUCTION We investigated whether depression modified the associations between sleep duration and cognitive performance. METHODS We examined the associations between sleep duration and cognition in 1853 dementia-and-stroke-free participants (mean age 49.8 years, [range 27-85]; 42.7% male). Participants were categorized into four groups: no depressive symptoms, no antidepressants; depressive symptoms without antidepressant use; antidepressant use without depressive symptoms; and depressive symptoms and antidepressant use. RESULTS Long sleep was associated with reduced overall cognitive function (β ± standard error = -0.25 ± 0.07, p < 0.001), with strongest effects in those with depressive symptoms using (-0.74 ± 0.30, p = 0.017) and not using antidepressants (-0.60 ± 0.26, p = 0.024). Weaker but significant effects were observed in those without depressive symptoms (-0.18 ± 0.09, p = 0.044). No significant associations were observed in participants using antidepressants without depressive symptoms. DISCUSSION Associations between sleep duration and cognitive performance are strongest in individuals with depressive symptoms, regardless of antidepressant use. Future research should elucidate underlying mechanisms and temporal relationships. HIGHLIGHTS Sleeping ≥ 9 hours/night was associated with worse cognitive performance. This association was stronger among those with depression. Long sleepers were more likely to report symptoms of depression. Sleep may be a modifiable risk for cognitive decline in people with depression.
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Affiliation(s)
- Vanessa M. Young
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- Graduate School of Biomedical SciencesUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- School of Social and Behavioral SciencesArizona State UniversityPhoenixArizonaUSA
| | - Rebecca Bernal
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Andree‐Ann Baril
- The Framingham Heart StudyFraminghamMassachusettsUSA
- Research Center of the CIUSSS‐NIM, Hôpital du Sacré‐Coeur de MontréalMontrealQuebecCanada
- Department of MedicineUniversity of MontrealMontrealQuebecCanada
| | - Joy Zeynoun
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Crystal Wiedner
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Carlos Gaona
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Alexa Beiser
- The Framingham Heart StudyFraminghamMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
| | - Antonio L. Teixeira
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- Department of NeurologyUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Arash Salardini
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- Department of NeurologyUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Matthew P. Pase
- The Framingham Heart StudyFraminghamMassachusettsUSA
- Turner Institute for Brain and Mental HealthMonash UniversityClaytonVictoriaAustralia
| | - Jayandra Jung Himali
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- The Framingham Heart StudyFraminghamMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
- Department of Population Health SciencesUniversity of Texas Health Science CenterSan AntonioTexasUSA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- The Framingham Heart StudyFraminghamMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
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Chen C, Zhang M, Wang Z, Deng J, Bao Y, Shi J, Lu L, Shi L. Associations among sleep quality, sleep duration, and Alzheimer's disease biomarkers: A systematic review and meta-analysis. Alzheimers Dement 2025; 21:e70096. [PMID: 40145494 PMCID: PMC11947999 DOI: 10.1002/alz.70096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2024] [Revised: 02/19/2025] [Accepted: 02/20/2025] [Indexed: 03/28/2025]
Abstract
INTRODUCTION Although sleep disturbances are widely recognized as risk factors for cognitive decline and Alzheimer's disease (AD), their influence on AD biomarkers remains unclear. This study aimed to clarify whether sleep quality or sleep duration affect amyloid beta (Aβ) and tau levels in plasma, cerebrospinal fluid (CSF), and positron emission tomography (PET) in non-demented populations. METHODS PubMed, Web of Science, and Embase were systematically searched up to February 2025. RESULTS In total, 30 studies were included comprising 14,997 subjects. Individuals with poor sleep quality exhibited greater PET Aβ burden and higher Aβ42 levels in plasma than those with good sleep quality. Shorter sleep duration was associated with higher Aβ burden on PET. However, no association between either sleep quality or sleep duration and tau levels was found. DISCUSSION Sleep may be a modifiable marker of early AD management by modulating Aβ levels. HIGHLIGHTS lPoor sleep quality and shorter sleep duration were significantly associated with higher amyloid beta (Aβ) burden detected by positron emission tomography (PET) in non-demented populations. Poor sleep quality was also associated with elevated Aβ42 levels in plasma. lNo significant associations were found between sleep quality or sleep duration and tau levels in plasma, cerebrospinal fluid, or PET. lInterventions targeting sleep could serve as a viable and low-cost prevention strategy for early management of Alzheimer's disease.
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Affiliation(s)
- Chun‐Lin Chen
- Peking University Sixth HospitalPeking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University)National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)BeijingChina
| | - Miao‐Yu Zhang
- Department of PsychiatryHenan Mental HospitalThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangChina
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of HenanXinxiang Medical UniversityXinxiangChina
| | - Zhi‐Lin Wang
- Peking University Sixth HospitalPeking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University)National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)BeijingChina
| | - Jia‐Hui Deng
- Peking University Sixth HospitalPeking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University)National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)BeijingChina
| | - Yan‐Ping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug DependencePeking UniversityBeijingChina
- School of Public HealthPeking UniversityBeijingChina
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug DependencePeking UniversityBeijingChina
- The State Key Laboratory of Natural and Biomimetic DrugsPeking UniversityBeijingChina
- The Key Laboratory for Neuroscience of the Ministry of Education and HealthPeking UniversityBeijingChina
| | - Lin Lu
- Peking University Sixth HospitalPeking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University)National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)BeijingChina
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug DependencePeking UniversityBeijingChina
- Peking‐Tsinghua Center for Life Sciences and PKU‐IDG/McGovern Institute for Brain ResearchPeking UniversityBeijingChina
| | - Le Shi
- Peking University Sixth HospitalPeking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University)National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)BeijingChina
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Fjell AM, Walhovd KB. Sleep Patterns and Human Brain Health. Neuroscientist 2025:10738584241309850. [PMID: 39881658 DOI: 10.1177/10738584241309850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2025]
Abstract
It is a widely held opinion that sleep is important for human brain health. Here we examine the evidence for this view, focusing on normal variations in sleep patterns. We discuss the functions of sleep and highlight the paradoxical implications of theories seeing sleep as an adaptive capacity versus the theory that sleep benefits clearance of metabolic waste from the brain. We also evaluate the proposition that sleep plays an active role in consolidation of memories. Finally, we review research on possible effects of chronic sleep deprivation on brain health. We find that the evidence for a causal role of sleep in human brain health is surprisingly weak relative to the amount of attention to sleep in science and society. While there are well-established associations between sleep parameters and aspects of brain health, results are generally not consistent across studies and measures, and it is not clear to what extent alterations in sleep patterns represent symptoms or causes. Especially, the proposition that long sleep (>8 hours) in general is beneficial for long-term brain health in humans seems to lack empirical support. We suggest directions for future research to establish a solid foundation of knowledge about a role of sleep in brain health based on longitudinal studies with frequent sampling, attention to individual differences, and more ecologically valid intervention studies.
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Affiliation(s)
- Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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Young VM, Bernal R, Baril AA, Zeynoun J, Wiedner C, Gaona C, Beiser A, Teixeira AL, Salardini A, Pase MP, Himali JJ, Seshadri S. Long Sleep Duration, Cognitive Performance, and the Moderating Role of Depression: A Cross-Sectional Analysis in the Framingham Heart Study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.12.02.24318350. [PMID: 39677456 PMCID: PMC11643162 DOI: 10.1101/2024.12.02.24318350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/17/2024]
Abstract
INTRODUCTION We investigated whether depression modified the associations between sleep duration and cognitive performance. METHODS Multivariable linear regression models examined the associations between sleep duration and cognition in 1,853 dementia- and stroke-free participants from the Framingham Heart Study. Participants were categorized in four groups: no depressive symptoms, no antidepressants; depressive symptoms without antidepressants use; antidepressant use without depressive symptoms; both depressive symptoms and antidepressant use. RESULTS Long sleep was associated with reduced overall cognitive function. Strong associations between sleep duration and cognitive performance were found in individuals with depressive symptoms, regardless of antidepressant use. Weaker but significant effects were observed in those without depressive symptoms. No significant associations were observed in participants using antidepressants without depressive symptoms. DISCUSSION These findings provide new evidence that sleep duration may be a modifiable risk factor for cognitive decline, particularly in individuals with depressive symptoms. Future research should elucidate underlying mechanisms and temporal relationships.
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Affiliation(s)
- Vanessa M. Young
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
- Graduate School of Biomedical Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
- School of Social and Behavioral Sciences, Arizona State University, Phoenix, Arizona, USA
| | - Rebecca Bernal
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Andree-Ann Baril
- Framingham Heart Study, Framingham, Massachusetts, USA
- Research Center of the CIUSSS-NIM, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada was
- Department of Medicine, University of Montreal, Quebec, Canada CC
| | - Joy Zeynoun
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Crystal Wiedner
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Carlos Gaona
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Alexa Beiser
- Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Antonio L. Teixeira
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Arash Salardini
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Matthew P. Pase
- Framingham Heart Study, Framingham, Massachusetts, USA
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
| | - Jayandra Jung Himali
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- Department of Population Health Sciences, University of Texas Health Science Center, San Antonio, Texas, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
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Wang T, Li Z, Ma T, Zhu F, Yang B, Kim S, Miao R, Wu J. Brain function assessment of acupuncture for chronic insomnia disorder with mild cognitive dysfunction based on fNIRS: protocol for a randomized controlled trial. Front Neurol 2024; 15:1403785. [PMID: 39634772 PMCID: PMC11614775 DOI: 10.3389/fneur.2024.1403785] [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: 03/19/2024] [Accepted: 11/04/2024] [Indexed: 12/07/2024] Open
Abstract
Background Chronic Insomnia Disorder (CID) is highly prevalent among older adults and impairs cognitive function. Insomnia accelerates the progression of mild cognitive impairment (MCI) and increases the risk of developing dementia. Acupuncture has been demonstrated in improving sleep quality and cognitive function. This study aims to explore the functional brain characteristics of CID with MCI patients and to assess the effects of acupuncture therapy using functional near-infrared spectroscopy (fNIRS). Methods and design This study is a single-center randomized controlled trial. Participants will be randomly assigned to the manual acupuncture group or the placebo acupuncture group for an 8-week intervention period. fNIRS data will be collected during resting test and working memory test at baseline and at end of the intervention. The primary outcome is the change of the Montreal Cognitive Assessment (MoCA) score, secondary outcomes include the change of Mini-Mental State Examination (MMSE), Insomnia Severity Index (ISI), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), and Apathy Evaluation Scale-Informant (AES-I). Discussion The results of the study will provide insights into the effects of acupuncture on sleep quality and cognitive performance in CID with MCI patients. By utilizing fNIRS technology, we will elucidate the neural functional characteristic underlying the therapeutic benefits of acupuncture. Clinical trial registration https://ClinicalTrials.gov, identifier ChiCTR2300076182.
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Affiliation(s)
- Tianyu Wang
- Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Zhi Li
- Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Tingting Ma
- Department of Preventive Treatment, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Fengya Zhu
- Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Bin Yang
- Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Sieun Kim
- Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Runqing Miao
- Department of Preventive Treatment, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jie Wu
- Department of Preventive Treatment, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Lacerda RAV, Desio JAF, Kammers CM, Henkes S, Freitas de Sá M, de Souza EF, da Silva DM, Teixeira Pinheiro Gusmão C, Santos JCCD. Sleep disorders and risk of alzheimer's disease: A two-way road. Ageing Res Rev 2024; 101:102514. [PMID: 39317268 DOI: 10.1016/j.arr.2024.102514] [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: 08/08/2024] [Revised: 09/15/2024] [Accepted: 09/19/2024] [Indexed: 09/26/2024]
Abstract
Substantial sleep impairment in patients with Alzheimer's disease (AD) is one of the emerging points for continued efforts to better understand the disease. Individuals without cognitive decline, an important marker of the clinical phase of AD, may show early alterations in the sleep-wake cycle. The objective of this critical narrative review is to explore the bidirectional pathophysiological correlation between sleep disturbances and Alzheimer's Disease. Specifically, it examines how the disruption of sleep homeostasis in individuals without dementia could contribute to the pathogenesis of AD, and conversely, how neurodegeneration in individuals with Alzheimer's Disease might lead to dysregulation of the sleep-wake cycle. Recent scientific results indicate that sleep disturbances, particularly those related to impaired glymphatic clearance, may act as an important mechanism associated with the genesis of Alzheimer's Disease. Additionally, amyloid deposition and tau protein hyperphosphorylation, along with astrocytic hyperactivation, appear to trigger changes in neurotransmission dynamics in areas related to sleep, which may explain the onset of sleep disturbances in individuals with AD. Disruption of sleep homeostasis appears to be a modifiable risk factor in Alzheimer's disease. Whenever possible, the use of non-pharmacological strategies becomes important in this context. From a different perspective, additional research is needed to understand and treat the dysfunction of the sleep-wake cycle in individuals already affected by AD. Early recognition and correction of sleep disturbances in this population could potentially mitigate the progression of dementia and improve the quality of life for those with AD.
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Affiliation(s)
| | | | | | - Silvana Henkes
- Lutheran University of Brazil - ULBRA, Carazinho, RS, Brazil
| | | | | | | | | | - Júlio César Claudino Dos Santos
- Medical School of the Christus University Center - UNICHRISTUS, Fortaleza, CE, Brazil; Post-Graduate Program of Morphofunctional Sciences, Federal University of Ceara, Fortaleza, CE, Brazil; Unifacvest University Center - UNIFACVEST, Lages, SC, Brazil.
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Yiallourou SR, Cribb L, Baril AA, Pase MP. Author Response: Association of the Sleep Regularity Index With Incident Dementia and Brain Volume. Neurology 2024; 103:e209339. [PMID: 38889381 DOI: 10.1212/wnl.0000000000209339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024] Open
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Kawada T. Reader Response: Association of the Sleep Regularity Index With Incident Dementia and Brain Volume. Neurology 2024; 103:e209333. [PMID: 38889389 DOI: 10.1212/wnl.0000000000209333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024] Open
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Cushing SD, Moseley SC, Stimmell AC, Schatschneider C, Wilber AA. Rescuing impaired hippocampal-cortical interactions and spatial reorientation learning and memory during sleep in a mouse model of Alzheimer's disease using hippocampal 40 Hz stimulation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.20.599921. [PMID: 38979221 PMCID: PMC11230253 DOI: 10.1101/2024.06.20.599921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
In preclinical Alzheimer's disease (AD), spatial learning and memory is impaired. We reported similar impairments in 3xTg-AD mice on a virtual maze (VM) spatial-reorientation-task that requires using landmarks to navigate. Hippocampal (HPC)-cortical dysfunction during sleep (important for memory consolidation) is a potential mechanism for memory impairments in AD. We previously found deficits in HPC-cortical coordination during sleep coinciding with VM impairments the next day. Some forms of 40 Hz stimulation seem to clear AD pathology in mice, and improve functional connectivity in AD patients. Thus, we implanted a recording array targeting parietal cortex (PC) and HPC to assess HPC-PC coordination, and an optical fiber targeting HPC for 40 Hz or sham optogenetic stimulation in 3xTg/PV cre mice. We assessed PC delta waves (DW) and HPC sharp wave ripples (SWRs). In sham mice, SWR-DW cross-correlations were reduced, similar to 3xTg-AD mice. In 40 Hz mice, this phase-locking was rescued, as was performance on the VM. However, rescued HPC-PC coupling no longer predicted performance as in NonTg animals. Instead, DWs and SWRs independently predicted performance in 40 Hz mice. Thus, 40 Hz stimulation of HPC rescued functional interactions in the HPC-PC network, and rescued impairments in spatial navigation, but did not rescue the correlation between HPC-PC coordination during sleep and learning and memory. Together this pattern of results could inform AD treatment timing by suggesting that despite applying 40 Hz stimulation before significant tau and amyloid aggregation, pathophysiological processes led to brain changes that were not fully reversed even though cognition was recovered. Significance Statement One of the earliest symptoms of Alzheimer's disease (AD) is getting lost in space or experiencing deficits in spatial navigation, which involve navigation computations as well as learning and memory. We investigated cross brain region interactions supporting memory formation as a potential causative factor of impaired spatial learning and memory in AD. To assess this relationship between AD pathophysiology, brain changes, and behavioral alterations, we used a targeted approach for clearing amyloid beta and tau to rescue functional interactions in the brain. This research strongly connects brain activity patterns during sleep to tau and amyloid accumulation, and will aid in understanding the mechanisms underlying cognitive dysfunction in AD. Furthermore, the results offer insight for improving early identification and treatment strategies.
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Strandberg TE, Pitkälä KH, Kivimäki M. Sleep duration in midlife and old age and risk of mortality over a 48-year follow-up: The Helsinki businessmen study (HBS) cohort. Maturitas 2024; 184:107964. [PMID: 38471293 DOI: 10.1016/j.maturitas.2024.107964] [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: 11/02/2023] [Revised: 02/19/2024] [Accepted: 03/01/2024] [Indexed: 03/14/2024]
Abstract
OBJECTIVES Both short and long sleep duration have been associated with increased mortality, but there are few truly long-term studies. STUDY DESIGN This is a cohort study of 2504 men born between 1919 and 1934. In 1974-1975 (mean age 48), participants underwent baseline clinical examinations and sleep duration assessments. A follow-up examination took place 35 years later, in 2010 (mean age 82). MAIN OUTCOME MEASURE All-cause mortality data from baseline and from old age were collected through to December 31, 2022. RESULTS At baseline, short sleep duration (≤6 h per night), normal sleep duration (>6 and ≤ 8 h), and long sleep duration (>8 h) was reported by 266, 2019 and 219 men, respectively. Men with short sleep duration had higher levels of smoking, alcohol consumption, body mass index, and poorer self-rated health than those with normal sleep duration. During the 48-year follow-up, 2287 men died. The unadjusted hazard ratio for mortality was 1.20 (95 % confidence interval [CI] 1.05-1.37) for short compared with normal sleep duration, but this association vanished after adjustments (1.01, 95 % CI 0.87-1.17). In old age, the corresponding hazard ratios were 1.41 (1.16-1.72) and 1.19 (0.94-1.51) for short sleep duration and 1.33 (1.09-1.63) and 1.31 (1.02-1.67) for long sleep duration. CONCLUSIONS In a comprehensive lifespan follow-up, the modestly increased mortality among men with short sleep duration in midlife was attributed to unhealthy lifestyle factors. In old age both long and short sleep duration seemed to be associated with modestly increased mortality. CLINICALTRIALS gov identifier for the HBS: NCT02526082.
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Affiliation(s)
- Timo E Strandberg
- University of Helsinki and Helsinki University Hospital, PO Box 340, 00029 Helsinki, Finland.
| | - Kaisu H Pitkälä
- University of Helsinki and Helsinki University Hospital, PO Box 340, 00029 Helsinki, Finland.
| | - Mika Kivimäki
- University of Helsinki and Helsinki University Hospital, PO Box 340, 00029 Helsinki, Finland; UCL Brain Sciences, University College London, London, UK.
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Melikyan ZA, Kawas CH, Paganini‐Hill A, Jiang L, Bukhari S, Montine TJ, Mander BA, Corrada MM. Neuropathologic changes at age 90+ related to sleep duration 19 to 40 years earlier: The 90+ Study. Alzheimers Dement 2024; 20:3495-3503. [PMID: 38602280 PMCID: PMC11095440 DOI: 10.1002/alz.13798] [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: 11/01/2023] [Revised: 02/15/2024] [Accepted: 02/25/2024] [Indexed: 04/12/2024]
Abstract
INTRODUCTION We investigated the association between sleep duration and neuropathologic changes 19 to 40 years later in oldest-old (age 90+) participants of The 90+ Study. METHODS Participants self-reported sleep duration and underwent neuropathologic evaluation. We categorized sleep duration as < 7, 7 to 8 = reference, > 8 hours and dichotomized neuropathologic changes as present/absent. We estimated odds ratio (OR) and 95% confidence intervals (CI) using logistic regression. RESULTS In 264 participants, mean age at sleep self-report was 69 years, mean age at autopsy was 98 years, and mean interval between sleep self-report and autopsy was 29 years (range: 19-40). Those reporting > 8 hours of sleep had lower likelihood of limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) inclusions (OR = 0.18; CI = 0.04-0.82) and amyloid beta deposits (OR = 0.34; 95% CI = 0.12-0.94). DISCUSSION Long self-reported sleep is associated with lower odds of neurodegenerative neuropathologic changes 19 to 40 years later in the oldest-old, suggesting a potential role of sleep in accumulation of dementia-related neuropathologies. HIGHLIGHTS Association of self-reported sleep with non-Alzheimer's disease neuropathologic changes has not been explored. Whether sleep duration is related to dementia neuropathologic changes decades later is unclear. Long self-reported sleep is associated with lower odds of Alzheimer's disease neuropathologic change 19 to 40 years later in the oldest-old. Long self-reported sleep is associated with lower odds of limbic-predominant age-related TDP-43 encephalopathy neuropathologic change 19 to 40 years later in the oldest-old.
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Affiliation(s)
- Zarui A. Melikyan
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
| | - Claudia H. Kawas
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
- Department of NeurologyUniversity of CaliforniaOrangeCaliforniaUSA
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | | | - Luohua Jiang
- Department of Epidemiology and BiostatisticsUniversity of CaliforniaIrvineCaliforniaUSA
| | - Syed Bukhari
- Department of PathologyStanford University School of MedicineStanfordCaliforniaUSA
| | - Thomas J. Montine
- Department of PathologyStanford University School of MedicineStanfordCaliforniaUSA
| | - Bryce A. Mander
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaOrangeCaliforniaUSA
- Center for the Neurobiology of Learning and MemoryUniversity of CaliforniaIrvineCaliforniaUSA
| | - María M. Corrada
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
- Department of NeurologyUniversity of CaliforniaOrangeCaliforniaUSA
- Department of Epidemiology and BiostatisticsUniversity of CaliforniaIrvineCaliforniaUSA
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