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Lui KK, Dave A, Sprecher KE, Chappel-Farley MG, Riedner BA, Heston MB, Taylor CE, Carlsson CM, Okonkwo OC, Asthana S, Johnson SC, Bendlin BB, Mander BA, Benca RM. Older adults at greater risk for Alzheimer's disease show stronger associations between sleep apnea severity in REM sleep and verbal memory. Alzheimers Res Ther 2024; 16:102. [PMID: 38725033 PMCID: PMC11080222 DOI: 10.1186/s13195-024-01446-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 04/01/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Obstructive sleep apnea (OSA) increases risk for cognitive decline and Alzheimer's disease (AD). While the underlying mechanisms remain unclear, hypoxemia during OSA has been implicated in cognitive impairment. OSA during rapid eye movement (REM) sleep is usually more severe than in non-rapid eye movement (NREM) sleep, but the relative effect of oxyhemoglobin desaturation during REM versus NREM sleep on memory is not completely characterized. Here, we examined the impact of OSA, as well as the moderating effects of AD risk factors, on verbal memory in a sample of middle-aged and older adults with heightened AD risk. METHODS Eighty-one adults (mean age:61.7 ± 6.0 years, 62% females, 32% apolipoprotein E ε4 allele (APOE4) carriers, and 70% with parental history of AD) underwent clinical polysomnography including assessment of OSA. OSA features were derived in total, NREM, and REM sleep. REM-NREM ratios of OSA features were also calculated. Verbal memory was assessed with the Rey Auditory Verbal Learning Test (RAVLT). Multiple regression models evaluated the relationships between OSA features and RAVLT scores while adjusting for sex, age, time between assessments, education years, body mass index (BMI), and APOE4 status or parental history of AD. The significant main effects of OSA features on RAVLT performance and the moderating effects of AD risk factors (i.e., sex, age, APOE4 status, and parental history of AD) were examined. RESULTS Apnea-hypopnea index (AHI), respiratory disturbance index (RDI), and oxyhemoglobin desaturation index (ODI) during REM sleep were negatively associated with RAVLT total learning and long-delay recall. Further, greater REM-NREM ratios of AHI, RDI, and ODI (i.e., more events in REM than NREM) were related to worse total learning and recall. We found specifically that the negative association between REM ODI and total learning was driven by adults 60 + years old. In addition, the negative relationships between REM-NREM ODI ratio and total learning, and REM-NREM RDI ratio and long-delay recall were driven by APOE4 carriers. CONCLUSION Greater OSA severity, particularly during REM sleep, negatively affects verbal memory, especially for people with greater AD risk. These findings underscore the potential importance of proactive screening and treatment of REM OSA even if overall AHI appears low.
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Affiliation(s)
- Kitty K Lui
- San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Abhishek Dave
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
- Department of Cognitive Sciences, University of California, Irvine, CA, USA
| | - Kate E Sprecher
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Miranda G Chappel-Farley
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
| | - Brady A Riedner
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
| | - Margo B Heston
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Chase E Taylor
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA
| | - Cynthia M Carlsson
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Ozioma C Okonkwo
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Sterling C Johnson
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Barbara B Bendlin
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.
- Department of Cognitive Sciences, University of California, Irvine, CA, USA.
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
| | - Ruth M Benca
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA.
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Psychiatry and Behavioral Medicine, Wake Forest University, Winston-Salem, NC, USA.
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Chen IY, Radom-Aizik S, Stehli A, Palmer JR, Lui KK, Dave A, Chappel-Farley MG, Vinces KG, Gealer D, Lim A, Mander BA, Benca RM, Neikrug AB. Cardiorespiratory fitness and circadian rhythms in adolescents: a pilot study. J Appl Physiol (1985) 2024; 136:372-384. [PMID: 38126092 DOI: 10.1152/japplphysiol.00291.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 11/07/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023] Open
Abstract
Although cardiorespiratory fitness (CRF), an important marker of youth health, is associated with earlier sleep/wake schedule, its relationship with circadian rhythms is unclear. This study examined the associations between CRF and rhythm variables in adolescents. Eighteen healthy adolescents (10 females and 8 males; Mage = 14.6 ± 2.3 yr) completed two study visits on weekdays bracketing an ambulatory assessment during summer vacation. Visit 1 included in-laboratory CRF assessment (peak V̇o2) using a ramp-type progressive cycle ergometry protocol and gas exchange measurement, which was followed by 7-14 days of actigraphy to assess sleep/wake patterns and 24-h activity rhythms. During Visit 2, chronotype, social jetlag (i.e., the difference in midsleep time between weekdays and weekends), and phase preference were assessed using a questionnaire, and hourly saliva samples were collected to determine the dim light melatonin onset (DLMO) phase. All analyses were adjusted for sex, pubertal status, and physical activity. Greater peak V̇o2 was associated with earlier sleep/wake times and circadian phase measures, including acrophase, UP time, DOWN time, last activity peak (LAP) time, and chronotype (all P < 0.05). Peak V̇o2 was negatively associated with social jetlag (P = 0.02). In addition, the mixed-model analysis revealed a significant interaction effect between peak V̇o2 and actigraphy-estimated hour-by-hour activity patterns (P < 0.001), with the strongest effects observed at around the time of waking (0600-1000). In healthy adolescents, better CRF was associated with an earlier circadian phase and increased activity levels notably during the morning. Future studies are needed to investigate the longitudinal effects of the interactions between CRF and advanced rhythms on health outcomes.NEW & NOTEWORTHY In healthy adolescents, better cardiorespiratory fitness, as assessed by the gold standard measure [laboratory-based assessment of peak oxygen consumption (V̇o2)], was associated with earlier circadian timing of sleep/wake patterns, rest-activity rhythms and chronotype, and less social jetlag. These findings highlight the close interrelationships between fitness and rhythms and raise the possibility that maintaining higher cardiorespiratory fitness levels alongside earlier sleep/wake schedule and activity rhythms may be important behavioral intervention targets to promote health in adolescents.
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Affiliation(s)
- Ivy Y Chen
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, California, United States
| | - Shlomit Radom-Aizik
- Pediatric Exercise and Genomics Research Center, University of California, Irvine, Irvine, California, United States
| | - Annamarie Stehli
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, California, United States
- Pediatric Exercise and Genomics Research Center, University of California, Irvine, Irvine, California, United States
| | - Jake R Palmer
- School of Psychology, Faculty of Science, University of Sydney, Sydney, New South Wales, Australia
- Brain and Mind Centre and Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Kitty K Lui
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, California, United States
| | - Abhishek Dave
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, California, United States
| | - Miranda G Chappel-Farley
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, California, United States
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, California, United States
| | - Karla G Vinces
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, California, United States
| | - Daniel Gealer
- Pediatric Exercise and Genomics Research Center, University of California, Irvine, Irvine, California, United States
| | - Alexandra Lim
- Pediatric Exercise and Genomics Research Center, University of California, Irvine, Irvine, California, United States
| | - Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, California, United States
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, California, United States
| | - Ruth M Benca
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, California, United States
| | - Ariel B Neikrug
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, California, United States
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3
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Berisha DE, Rizvi B, Chappel-Farley MG, Tustison N, Taylor L, Dave A, Sattari NS, Chen IY, Lui KK, Janecek JC, Keator D, Neikrug AB, Benca RM, Yassa MA, Mander BA. Cerebrovascular pathology mediates associations between hypoxemia during rapid eye movement sleep and medial temporal lobe structure and function in older adults. bioRxiv 2024:2024.01.28.577469. [PMID: 38328085 PMCID: PMC10849660 DOI: 10.1101/2024.01.28.577469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Obstructive sleep apnea (OSA) is common in older adults and is associated with medial temporal lobe (MTL) degeneration and memory decline in aging and Alzheimer's disease (AD). However, the underlying mechanisms linking OSA to MTL degeneration and impaired memory remains unclear. By combining magnetic resonance imaging (MRI) assessments of cerebrovascular pathology and MTL structure with clinical polysomnography and assessment of overnight emotional memory retention in older adults at risk for AD, cerebrovascular pathology in fronto-parietal brain regions was shown to statistically mediate the relationship between OSA-related hypoxemia, particularly during rapid eye movement (REM) sleep, and entorhinal cortical thickness. Reduced entorhinal cortical thickness was, in turn, associated with impaired overnight retention in mnemonic discrimination ability across emotional valences for high similarity lures. These findings identify cerebrovascular pathology as a contributing mechanism linking hypoxemia to MTL degeneration and impaired sleep-dependent memory in older adults.
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Affiliation(s)
- Destiny E. Berisha
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Batool Rizvi
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Miranda G. Chappel-Farley
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Nicholas Tustison
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Lisa Taylor
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
| | - Abhishek Dave
- Department of Cognitive Sciences, University of California Irvine, Irvine CA, 92697, USA
| | - Negin S. Sattari
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
| | - Ivy Y. Chen
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
| | - Kitty K. Lui
- San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, 92093, USA
| | - John C. Janecek
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - David Keator
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
| | - Ariel B. Neikrug
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
| | - Ruth M. Benca
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, 53706, WI, USA
- Department of Psychiatry and Behavioral Medicine, Wake Forest University, Winston-Salem, NC, 27109, USA
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine CA, 92697, USA
| | - Michael A. Yassa
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine CA, 92697, USA
- Department of Neurology, University of California Irvine, Irvine CA, 92697, USA
| | - Bryce A. Mander
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
- Department of Cognitive Sciences, University of California Irvine, Irvine CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine CA, 92697, USA
- Department of Pathology and Laboratory Medicine, University of California Irvine, Irvine CA, 92697, USA
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4
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Kim S, Adams JN, Chappel-Farley MG, Keator D, Janecek J, Taylor L, Mikhail A, Hollearn M, McMillan L, Rapp P, Yassa MA. Examining the diagnostic value of the mnemonic discrimination task for classification of cognitive status and amyloid-beta burden. Neuropsychologia 2023; 191:108727. [PMID: 37939874 PMCID: PMC10764118 DOI: 10.1016/j.neuropsychologia.2023.108727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/20/2023] [Accepted: 11/03/2023] [Indexed: 11/10/2023]
Abstract
Alzheimer's disease (AD) is the most common type of dementia, characterized by early memory impairments and gradual worsening of daily functions. AD-related pathology, such as amyloid-beta (Aβ) plaques, begins to accumulate many years before the onset of clinical symptoms. Predicting risk for AD via related pathology is critical as the preclinical stage could serve as a therapeutic time window, allowing for early management of the disease and reducing health and economic costs. Current methods for detecting AD pathology, however, are often expensive and invasive, limiting wide and easy access to a clinical setting. A non-invasive, cost-efficient platform, such as computerized cognitive tests, could be potentially useful to identify at-risk individuals as early as possible. In this study, we examined the diagnostic value of an episodic memory task, the mnemonic discrimination task (MDT), for predicting risk of cognitive impairment or Aβ burden. We constructed a random forest classification algorithm, utilizing MDT performance metrics and various neuropsychological test scores as input features, and assessed model performance using area under the curve (AUC). Models based on MDT performance metrics achieved classification results with an AUC of 0.83 for cognitive status and an AUC of 0.64 for Aβ status. Our findings suggest that mnemonic discrimination function may be a useful predictor of progression to prodromal AD or increased risk of Aβ load, which could be a cost-efficient, noninvasive cognitive testing solution for potentially wide-scale assessment of AD pathological and cognitive risk.
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Affiliation(s)
- Soyun Kim
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
| | - Jenna N Adams
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
| | - Miranda G Chappel-Farley
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
| | - David Keator
- Department of Psychiatry and Behavioral Sciences, University of California, Irvine, CA, USA
| | - John Janecek
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
| | - Lisa Taylor
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
| | - Abanoub Mikhail
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
| | - Martina Hollearn
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
| | - Liv McMillan
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
| | - Paul Rapp
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA; Department of Military & Emergency Medicine, Uniformed Services University, Bethesda, MD, USA
| | - Michael A Yassa
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA; Department of Psychiatry and Behavioral Sciences, University of California, Irvine, CA, USA.
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5
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Chappel-Farley MG, Adams JN, Betzel RF, Janecek JC, Sattari NS, Berisha DE, Meza NJ, Niknazar H, Kim S, Dave A, Chen IY, Lui KK, Neikrug AB, Benca RM, Yassa MA, Mander BA. Medial temporal lobe functional network architecture supports sleep-related emotional memory processing in older adults. bioRxiv 2023:2023.10.27.564260. [PMID: 37961192 PMCID: PMC10634911 DOI: 10.1101/2023.10.27.564260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Memory consolidation occurs via reactivation of a hippocampal index during non-rapid eye movement slow-wave sleep (NREM SWS) which binds attributes of an experience existing within cortical modules. For memories containing emotional content, hippocampal-amygdala dynamics facilitate consolidation over a sleep bout. This study tested if modularity and centrality-graph theoretical measures that index the level of segregation/integration in a system and the relative import of its nodes-map onto central tenets of memory consolidation theory and sleep-related processing. Findings indicate that greater network integration is tied to overnight emotional memory retention via NREM SWS expression. Greater hippocampal and amygdala influence over network organization supports emotional memory retention, and hippocampal or amygdala control over information flow are differentially associated with distinct stages of memory processing. These centrality measures are also tied to the local expression and coupling of key sleep oscillations tied to sleep-dependent memory consolidation. These findings suggest that measures of intrinsic network connectivity may predict the capacity of brain functional networks to acquire, consolidate, and retrieve emotional memories.
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Affiliation(s)
- Miranda G. Chappel-Farley
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Jenna N. Adams
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Richard F. Betzel
- Department of Psychological and Brain Sciences, University of Indiana Bloomington, Bloomington IN, 47405
| | - John C. Janecek
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Negin S. Sattari
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
| | - Destiny E. Berisha
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Novelle J. Meza
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Hamid Niknazar
- Department of Cognitive Sciences, University of California Irvine, Irvine CA, 92697, USA
| | - Soyun Kim
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
| | - Abhishek Dave
- Department of Cognitive Sciences, University of California Irvine, Irvine CA, 92697, USA
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
| | - Ivy Y. Chen
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
| | - Kitty K. Lui
- San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, 92093, USA
| | - Ariel B. Neikrug
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
| | - Ruth M. Benca
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, 53706, WI, USA
- Department of Psychiatry and Behavioral Medicine, Wake Forest University, Winston-Salem, NC, 27109, USA
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine CA, 92697, USA
| | - Michael A. Yassa
- Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine CA, 92697, USA
- Department of Neurology, University of California Irvine, Irvine CA, 92697, USA
| | - Bryce A. Mander
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA
- Department of Cognitive Sciences, University of California Irvine, Irvine CA, 92697, USA
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine CA, 92697, USA
- Department of Pathology and Laboratory Medicine, University of California Irvine, Irvine CA, 92697, USA
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6
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Adams JN, Chappel-Farley MG, Yaros JL, Taylor L, Harris AL, Mikhail A, McMillan L, Keator DB, Yassa MA. Functional network structure supports resilience to memory deficits in cognitively normal older adults with amyloid-β pathology. Sci Rep 2023; 13:13953. [PMID: 37626094 PMCID: PMC10457346 DOI: 10.1038/s41598-023-40092-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 08/04/2023] [Indexed: 08/27/2023] Open
Abstract
Older adults may harbor large amounts of amyloid-β (Aβ) pathology, yet still perform at age-normal levels on memory assessments. We tested whether functional brain networks confer resilience or compensatory mechanisms to support memory in the face of Aβ pathology. Sixty-five cognitively normal older adults received high-resolution resting state fMRI to assess functional networks, 18F-florbetapir-PET to measure Aβ, and a memory assessment. We characterized functional networks with graph metrics of local efficiency (information transfer), modularity (specialization of functional modules), and small worldness (balance of integration and segregation). There was no difference in functional network measures between older adults with high Aβ (Aβ+) compared to those with no/low Aβ (Aβ-). However, in Aβ+ older adults, increased local efficiency, modularity, and small worldness were associated with better memory performance, while this relationship did not occur Aβ- older adults. Further, the association between increased local efficiency and better memory performance in Aβ+ older adults was localized to local efficiency of the default mode network and hippocampus, regions vulnerable to Aβ and involved in memory processing. Our results suggest functional networks with modular and efficient structures are associated with resilience to Aβ pathology, providing a functional target for intervention.
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Affiliation(s)
- Jenna N Adams
- Department of Neurobiology and Behavior, University of California, Irvine, 1400 Biological Sciences 3, Irvine, CA, 92697-3800, USA.
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, 92697, USA.
| | - Miranda G Chappel-Farley
- Department of Neurobiology and Behavior, University of California, Irvine, 1400 Biological Sciences 3, Irvine, CA, 92697-3800, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, 92697, USA
| | - Jessica L Yaros
- Department of Neurobiology and Behavior, University of California, Irvine, 1400 Biological Sciences 3, Irvine, CA, 92697-3800, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, 92697, USA
| | - Lisa Taylor
- Department of Psychiatry and Human Behavior, University of California, Irvine, 1418 Biological Sciences 3, Irvine, CA, 92697-3800, USA
| | - Alyssa L Harris
- Department of Neurobiology and Behavior, University of California, Irvine, 1400 Biological Sciences 3, Irvine, CA, 92697-3800, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, 92697, USA
| | - Abanoub Mikhail
- Department of Neurobiology and Behavior, University of California, Irvine, 1400 Biological Sciences 3, Irvine, CA, 92697-3800, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, 92697, USA
| | - Liv McMillan
- Department of Neurobiology and Behavior, University of California, Irvine, 1400 Biological Sciences 3, Irvine, CA, 92697-3800, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, 92697, USA
| | - David B Keator
- Department of Psychiatry and Human Behavior, University of California, Irvine, 1418 Biological Sciences 3, Irvine, CA, 92697-3800, USA
| | - Michael A Yassa
- Department of Neurobiology and Behavior, University of California, Irvine, 1400 Biological Sciences 3, Irvine, CA, 92697-3800, USA.
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, 92697, USA.
- Department of Psychiatry and Human Behavior, University of California, Irvine, 1418 Biological Sciences 3, Irvine, CA, 92697-3800, USA.
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7
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Mander BA, Dave A, Lui KK, Sprecher KE, Berisha D, Chappel-Farley MG, Chen IY, Riedner BA, Heston M, Suridjan I, Kollmorgen G, Zetterberg H, Blennow K, Carlsson CM, Okonkwo OC, Asthana S, Johnson SC, Bendlin BB, Benca RM. Inflammation, tau pathology, and synaptic integrity associated with sleep spindles and memory prior to β-amyloid positivity. Sleep 2022; 45:6603598. [PMID: 35670275 PMCID: PMC9758508 DOI: 10.1093/sleep/zsac135] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 05/17/2022] [Indexed: 01/25/2023] Open
Abstract
STUDY OBJECTIVES Fast frequency sleep spindles are reduced in aging and Alzheimer's disease (AD), but the mechanisms and functional relevance of these deficits remain unclear. The study objective was to identify AD biomarkers associated with fast sleep spindle deficits in cognitively unimpaired older adults at risk for AD. METHODS Fifty-eight cognitively unimpaired, β-amyloid-negative, older adults (mean ± SD; 61.4 ± 6.3 years, 38 female) enriched with parental history of AD (77.6%) and apolipoprotein E (APOE) ε4 positivity (25.9%) completed the study. Cerebrospinal fluid (CSF) biomarkers of central nervous system inflammation, β-amyloid and tau proteins, and neurodegeneration were combined with polysomnography (PSG) using high-density electroencephalography and assessment of overnight memory retention. Parallelized serial mediation models were used to assess indirect effects of age on fast frequency (13 to <16Hz) sleep spindle measures through these AD biomarkers. RESULTS Glial activation was associated with prefrontal fast frequency sleep spindle expression deficits. While adjusting for sex, APOE ε4 genotype, apnea-hypopnea index, and time between CSF sampling and sleep study, serial mediation models detected indirect effects of age on fast sleep spindle expression through microglial activation markers and then tau phosphorylation and synaptic degeneration markers. Sleep spindle expression at these electrodes was also associated with overnight memory retention in multiple regression models adjusting for covariates. CONCLUSIONS These findings point toward microglia dysfunction as associated with tau phosphorylation, synaptic loss, sleep spindle deficits, and memory impairment even prior to β-amyloid positivity, thus offering a promising candidate therapeutic target to arrest cognitive decline associated with aging and AD.
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Affiliation(s)
- Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.,Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.,Department of Cognitive Sciences, University of California, Irvine, CA, USA
| | - Abhishek Dave
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.,Department of Cognitive Sciences, University of California, Irvine, CA, USA
| | - Kitty K Lui
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.,San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Katherine E Sprecher
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA.,Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Destiny Berisha
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
| | - Miranda G Chappel-Farley
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.,Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
| | - Ivy Y Chen
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Brady A Riedner
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
| | - Margo Heston
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | | | | | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital , Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital , Mölndal, Sweden
| | - Cynthia M Carlsson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Ozioma C Okonkwo
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Ruth M Benca
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.,Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.,Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA.,Department of Neurobiology and Behavior, University of California, Irvine, CA, USA.,Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA.,Department of Psychiatry and Behavioral Medicine, Wake Forest University, Winston-Salem, NC, USA
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8
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Chappel-Farley MG, Mander BA, Neikrug AB, Stehli A, Nan B, Grill JD, Yassa MA, Benca RM. Symptoms of obstructive sleep apnea are associated with less frequent exercise and worse subjective cognitive function across adulthood. Sleep 2022; 45:zsab240. [PMID: 34604910 PMCID: PMC8919199 DOI: 10.1093/sleep/zsab240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 08/15/2021] [Indexed: 02/07/2023] Open
Abstract
STUDY OBJECTIVES To determine whether subjective measures of exercise and sleep are associated with cognitive complaints and whether exercise effects are mediated by sleep. METHODS This study analyzed questionnaire data from adults (18-89) enrolled in a recruitment registry. The Cognitive Function Instrument (CFI) assessed cognitive complaints. Medical Outcomes Study Sleep Scale (MOS-SS) subscales and factor scores assessed sleep quality, daytime sleepiness, nighttime disturbance, and insomnia and obstructive sleep apnea (OSA)-like symptoms. Exercise frequency was defined as the weekly number of exercise sessions. Exercise frequency, MOS-SS subscales, and factor scores were examined as predictors of CFI score, adjusting for age, body mass index, education, sex, cancer diagnosis, antidepressant usage, psychiatric conditions, and medical comorbidities. Analyses of covariance examined the relationship between sleep duration groups (short, mid-range, and long) and CFI score, adjusting for covariates. Mediation by sleep in the exercise-CFI score relationship was tested. RESULTS Data from 2106 adults were analyzed. Exercise and MOS-SS subscales and factor scores were associated with CFI score. Higher Sleep Adequacy scores were associated with fewer cognitive complaints, whereas higher Sleep Somnolence, Sleep Disturbance, Sleep Problems Index I, Sleep Problems Index II, and factor scores were associated with more cognitive complaints. MOS-SS subscales and factor scores, except Sleep Disturbance and the insomnia factor score, mediated the association between exercise and cognitive complaints. CONCLUSIONS The relationship between exercise frequency and subjective cognitive performance is mediated by sleep. In particular, the mediation effect appears to be driven by symptoms possibly suggestive of OSA which are negatively associated with exercise engagement, sleep quality, daytime sleepiness, and subjective cognitive performance.
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Affiliation(s)
- Miranda G Chappel-Farley
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, USA
| | - Bryce A Mander
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
- Department of Cognitive Sciences, University of California Irvine, Irvine, CA, USA
| | - Ariel B Neikrug
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
| | - Annamarie Stehli
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
| | - Bin Nan
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
- Department of Statistics, University of California, Irvine, Irvine, CA, USA
| | - Joshua D Grill
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
| | - Michael A Yassa
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
| | - Ruth M Benca
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
- Department of Psychiatry and Behavioral Medicine, Wake Forest University, Winston-Salem, NC, USA
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9
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Neikrug AB, Mander BA, Radom-Aizik S, Chen IY, Stehli A, Lui KK, Chappel-Farley MG, Dave A, Benca RM. Aerobic fitness and the sleeping brain of adolescents-a pilot study. Sleep Adv 2021; 2:zpab005. [PMID: 33981996 PMCID: PMC8101484 DOI: 10.1093/sleepadvances/zpab005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 03/17/2021] [Indexed: 11/14/2022]
Abstract
STUDY OBJECTIVES Aerobic fitness (AF) and sleep are major determinants of health in adolescents and impact neurocognitive and psychological development. However, little is known about the interactions between AF and sleep during the developmental transition experienced across adolescence. This study aimed to consider the relationships between AF and habitual sleep patterns and sleep neurophysiology in healthy adolescents. METHODS Subjects (mean age = 14.6 ± 2.3 years old, range 11-17, 11 females) were evaluated for AF (peak VO2 assessed by ramp-type progressive cycle ergometry in the laboratory), habitual sleep duration and efficiency (7-14 days actigraphy), and topographic patterns of spectral power in slow wave, theta, and sleep spindle frequencies in non-rapid eye movement (NREM) sleep using overnight polysomnography (PSG) with high-density electroencephalography (hdEEG, 128 channels). RESULTS Significant relationships were observed between peak VO2 and habitual bedtime (r = -0.650, p = .009) and wake-up time (r = -0.603, p = .017), with greater fitness associated with going to bed and waking up earlier. Peak VO2 significantly predicted slow oscillations (0.5-1 Hz, p = .018) and theta activity (4.5-7.5 Hz, p = .002) over anterior frontal and central derivations (p < .001 and p = .001, respectively) after adjusting for sex and pubertal development stage. Similar associations were detected for fast sleep spindle activity (13-16 Hz, p = .006), which was greater over temporo-parietal derivations. CONCLUSIONS Greater AF was associated with a more mature pattern of topographically-specific features of sleep EEG known to support neuroplasticity and cognitive processes and which are dependent on prefrontal cortex and hippocampal function in adolescents and adults. AF was also correlated with a smaller behavioral sleep phase delay commonly seen during adolescence.
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Affiliation(s)
- Ariel B Neikrug
- Department of Psychiatry and Human Behavior, School of Medicine, University of California Irvine, Irvine, CA
| | - Bryce A Mander
- Department of Psychiatry and Human Behavior, School of Medicine, University of California Irvine, Irvine, CA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA
| | - Shlomit Radom-Aizik
- Pediatric Exercise and Genomics Research Center, School of Medicine, University of California Irvine, Irvine, CA
| | - Ivy Y Chen
- Department of Psychiatry and Human Behavior, School of Medicine, University of California Irvine, Irvine, CA
| | - Annamarie Stehli
- Department of Psychiatry and Human Behavior, School of Medicine, University of California Irvine, Irvine, CA
- Pediatric Exercise and Genomics Research Center, School of Medicine, University of California Irvine, Irvine, CA
| | - Kitty K Lui
- Department of Psychiatry and Human Behavior, School of Medicine, University of California Irvine, Irvine, CA
| | - Miranda G Chappel-Farley
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA
- Department of Neurobiology and Behavior, University of California Irvine, Irvine, CA
| | - Abhishek Dave
- Department of Psychiatry and Human Behavior, School of Medicine, University of California Irvine, Irvine, CA
| | - Ruth M Benca
- Department of Psychiatry and Human Behavior, School of Medicine, University of California Irvine, Irvine, CA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA
- Department of Neurobiology and Behavior, University of California Irvine, Irvine, CA
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10
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Chappel-Farley MG, Lui KK, Dave A, Chen IY, Mander BA. Candidate mechanisms linking insomnia disorder to Alzheimer’s disease risk. Curr Opin Behav Sci 2020. [DOI: 10.1016/j.cobeha.2020.01.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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11
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Chappel-Farley MG, Nan B, Grill JD, Mander BA, Yassa MA, Benca RM. 0091 Sleep as a Mediator of the Relationship Between Exercise and Self-Reported Cognitive Function. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Introduction
Insufficient sleep and sedentary behavior are associated with cognitive decline. How sleep and physical activity interact to influence cognition is not fully understood. This study sought to examine whether self-reported sleep and exercise impact subjective cognitive complaints across adulthood.
Methods
Self-report questionnaire data from 2,744 adults (μ=56.18 yrs/old; 63.8% F; μ=16.36 yrs/edu) in the University of California Irvine Consent-to-Contact Registry were analyzed. Multiple regression models, analysis of covariance, and ordinary least squares path analysis were conducted to investigate relationships among the Cognitive Function Instrument (CFI), Medical Outcome Study Sleep Scale (MOS-SS) Subscales, and exercise frequency. All models adjusted for education, sex, age, BMI, medical comorbidities, depression, cancer diagnosis, and antidepressant usage. Individuals taking medications known to affect sleep or with a diagnosis major psychiatric illness were excluded from analyses.
Results
All MOS-SS Subscales significantly predicted CFI score (all p<0.001). Individuals who exercise >3times/week had significantly lower scores on the CFI (p<0.05), Sleep Problems Index I & II (both p<0.05), Somnolence Subscale (p<0.01), and higher scores on the Sleep Adequacy Subscale (p=0.001). Mediation analyses revealed that all subscales, aside from the Sleep Disturbance Subscale, mediated the relationship between exercise frequency and CFI Score (Bootstrapped CI’s did not include zero).
Conclusion
More self-reported sleep disturbance and greater daytime sleepiness are associated with more subjective cognitive complaints. Individuals who exercise more frequently report lower daytime sleepiness and higher quality sleep. The effects of exercise frequency on cognitive complaints appear to be mediated by the impact of exercise on sleep. These results suggest that sleep health may be a crucial consideration when evaluating outcomes of exercise-based therapies aimed at delaying the onset of cognitive impairment.
Support
The C2C registry was made possible by a donation from HCP, Inc. and is supported by NIA AG016573 and NCATS UL1 TR001414.
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Affiliation(s)
- M G Chappel-Farley
- Department of Neurobiology & Behavior, University of California Irvine, Irvine, CA
| | - B Nan
- Department of Statistics, University of California Irvine, Irvine, CA
| | - J D Grill
- Department of Psychiatry & Human Behavior, University of California Irvine, Irvine, CA
| | - B A Mander
- Department of Psychiatry & Human Behavior, University of California Irvine, Irvine, CA
| | - M A Yassa
- Department of Neurobiology & Behavior, University of California Irvine, Irvine, CA
| | - R M Benca
- Department of Psychiatry & Human Behavior, University of California Irvine, Irvine, CA
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12
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Dave A, Sprecher KE, Lui KK, Chappel-Farley MG, Chen IY, Blennow K, Zetterberg H, Riedner BA, Bendlin BB, Mander BA, Benca RM. 0422 Apocalypse Tau: The Relationship Between Inflammaging and Local Sleep Disruption in Older Adults is Mediated by Tau Burden. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction
Chronic inflammation in aging is independently associated with tau burden and sleep disruption, though the mechanism linking inflammation with sleep disruption remains unknown. Recent evidence associates tau burden with deficits in local expression of sleep spindles and slow wave activity (SWA). Here we test the hypothesis that age-related central inflammation disrupts local sleep by influencing tau pathology.
Methods
Cognitively asymptomatic older adults from the Wisconsin Alzheimer’s Disease Research Center underwent overnight polysomnography with high-density electroencephalography (hdEEG; 256 channels) at the University of Wisconsin-Madison (n=33, 61.9±6.7 years, 23 female). EEG data were subjected to multitaper spectral analysis (0.5-40Hz) to yield topographic maps of SWA (SWA1:0.5-1Hz, SWA2:1-4.5Hz) and spindle (sigma1:11-13Hz; sigma2:13-16Hz) power during NREM sleep. Cerebrospinal fluid assay-based measurements of YKL-40 (indicating glial activation), phosphorylated tau (Ptau), and total tau (Ttau), were correlated with SWA and sigma topographical power employing Holm-Bonferroni correction. Multiple linear regression models were implemented controlling for age, apnea-hypopnea index (AHI), and sex at significant derivations. Finally, Sobel testing was employed to assess whether tau burden mediated YKL-40-sleep associations.
Results
Age was associated with YKL-40 (r=0.53, p=0.002), and YKL-40 was associated with both Ptau (r=0.66, p<0.001) and Ttau (r=0.68, p<0.001). Correlations between sigma2 activity and both Ptau and Ttau were detected at 14 derivations, 12 of which remained significant after controlling for age, sex, and AHI. YKL-40 was associated with sigma2 power (r=-0.39, p=0.025) across derivations expressing peak significance with tau. Sobel mediation analyses indicated that both Ptau (t=-2.15, p=0.031) and Ttau (t=-2.36, p=0.018) mediated the relationship between YKL-40 and sigma2 activity at these derivations. SWA was not associated with Ttau, Ptau, or YKL-40.
Conclusion
These results suggest that age-related increases in central glial activation may disrupt local expression of fast spindles by increasing tau burden, highlighting a potential role for chronic inflammation in sleep deficits observed in aging and Alzheimer’s disease.
Support
Supported by R56 AG052698, P50AG033514
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Affiliation(s)
- A Dave
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA
| | - K E Sprecher
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison, WI
| | - K K Lui
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA
| | - M G Chappel-Farley
- Department of Neurobiology and Behavior, University of California, Irvine, CA
| | - I Y Chen
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA
| | - K Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, SWEDEN
| | - H Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, SWEDEN
| | - B A Riedner
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison, WI
| | - B B Bendlin
- University of Wisconsin School of Medicine and Public Health, Department of Medicine, Madison, WI
| | - B A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA
| | - R M Benca
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA
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13
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Lui KK, Mander BA, Radom-Aizik S, Chappel-Farley MG, Dave A, Chen IY, Benca RM, Neikrug AB. 0335 Frontal Expression of NREM Sleep Oscillations are Associated with Executive Function in Children and Adolescents. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
The prefrontal cortex, an area known for executive functioning (including inhibition and self-monitoring) develops during childhood and adolescents, with a pattern of posterior to anterior brain development. Slow-wave activity (SWA) in NREM sleep, tracks brain development with high SWA power migrating from occipital to frontal region as brain maturation occurs. This pilot study aimed to examine whether slow wave topography is correlated with executive function in youth.
Methods
Seventeen healthy children and adolescents (ages 11-17; 10 females) underwent overnight polysomnography (PSG) with high-density electroencephalography (hdEEG). Behavior Rating Inventory of Executive Function (BRIEF) was administered to assess executive function. SWA (SWA1: 0.5-1 Hz; SWA2: 1-4.5 Hz) and spindle (slow sigma: 11-13 Hz; fast sigma: 13-16 Hz) activity was analyzed with spectral analysis using Welch’s method. BRIEF subscales of inhibition and monitor were correlated with SWA and sigma power across all derivations, with Holm-Bonferroni correction (126 channels). Significant derivations were then controlled for sex and self-reported Tanner stage using multiple regression
Results
BRIEF-Inhibition scale (i.e., ability to repress impulsivity) and SWA1 in anterior frontal derivations were negatively correlated (R2=0.58, p=0.047 corrected). BRIEF-Monitor scale (i.e., self-perception of one’s own behavior and interpersonal awareness) was negatively correlated with fast sigma in anterior frontal derivations (R2=0.65, p=0.013 corrected). These associations were significant after controlling for sex and Tanner stage.
Conclusion
These results support the hypothesis that NREM sleep oscillations are associated with executive function and reflect changes in neuroplasticity related to “back-to-front” brain maturation. Future longitudinal studies should combine multi-modal neuroimaging of brain structure and local sleep with comprehensive assessments of executive function to evaluate the possible link between local sleep and development of higher-order cognition in frontal brain regions in youth.
Support
NCATS grant #UL1TR001414 & PERC Systems Biology Fund
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Affiliation(s)
- K K Lui
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA
| | - B A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA
| | - S Radom-Aizik
- Pediatric Exercise and Genomics Research Center, Department of Pediatrics, University of California, Irvine, Irvine, CA
| | - M G Chappel-Farley
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA
| | - A Dave
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA
| | - I Y Chen
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA
| | - R M Benca
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA
| | - A B Neikrug
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA
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14
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Neikrug AB, Radom-Aizik S, Chen IY, Stehli A, Lui KK, Chappel-Farley MG, Lim AN, Mander BA, Benca RM. 0325 Better Aerobic Fitness is Associated with Distinct Sleep Characteristics in Children and Adolescents - A Pilot Study. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction
Aerobic fitness facilitates brain synaptic plasticity, which influences global and local sleep expression. While it is known that sleep patterns/behavior and non-rapid eye movement (NREM) sleep slow wave activity (SWA) tracks brain maturation, little is known about how aerobic fitness and sleep interact during growth and development in children and adolescents. The aim of this pilot study was to characterize relationships among aerobic fitness, measures of global/local sleep expression, and habitual sleep patterns in children and adolescents. We hypothesized that greater aerobic fitness would be associated with better sleep quality, indicated by increased SWA.
Methods
Twenty healthy youth (11-17 years-old, 11 female) were evaluated during summer vacation (no school schedule constraints). Aerobic fitness (VO2peak) was measured using ramp-type progressive cycle ergometry, habitual sleep (i.e., sleep-time consistency and circadian activity patterns) was assessed with 7-day actigraphy, and ad lib sleep was evaluated during overnight polysomnography (PSG) with high-density electroencephalography (hdEEG; 128 channels). Spectral analysis was implemented to quantify SWA (0.5-4.5Hz). Data were analyzed using linear regression analyses and exploratory independent samples t-tests.
Results
Negative correlations were observed between VO2peak and sleep measures including sleep-time consistency (partial r=-0.53, p=0.045) and timing/acrophase of the circadian activity rhythm (partial r=-0.64, p=0.01) while controlling for sex and age. Additionally, after accounting for Tanner stage and sex, data demonstrated significant effects in SWA at frontal derivations (p=0.024) between low and high fitness levels at topographically specific and meaningful EEG derivations, e.g. over frontal cortex.
Conclusion
These results suggest that children and adolescents with greater fitness have less variability in sleep-times (improved sleep consistency), tend to have a more advanced circadian activity phase (i.e., go to sleep earlier), and express greater frontal SWA, supporting the hypothesis that fitness is associated with improved local and global sleep quality. Future research with larger samples is necessary to further evaluate these relationships, and to determine if interventions that improve fitness also improve sleep and related brain plasticity.
Support
NCATS grant #UL1TR001414 & PERC Systems Biology Fund
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Affiliation(s)
| | | | - I Y Chen
- University of California Irvine, Irvine, CA
| | - A Stehli
- University of California Irvine, Irvine, CA
| | - K K Lui
- University of California Irvine, Irvine, CA
| | | | - A N Lim
- University of California Irvine, Irvine, CA
| | - B A Mander
- University of California Irvine, Irvine, CA
| | - R M Benca
- University of California Irvine, Irvine, CA
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15
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Moehlman TM, de Zwart JA, Chappel-Farley MG, Liu X, McClain IB, Chang C, Mandelkow H, Özbay PS, Johnson NL, Bieber RE, Fernandez KA, King KA, Zalewski CK, Brewer CC, van Gelderen P, Duyn JH, Picchioni D. All-night functional magnetic resonance imaging sleep studies. J Neurosci Methods 2018; 316:83-98. [PMID: 30243817 DOI: 10.1016/j.jneumeth.2018.09.019] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 08/08/2018] [Accepted: 09/17/2018] [Indexed: 01/24/2023]
Abstract
BACKGROUND Previous functional magnetic resonance imaging (fMRI) sleep studies have been hampered by the difficulty of obtaining extended amounts of sleep in the sleep-adverse environment of the scanner and often have resorted to manipulations such as sleep depriving subjects before scanning. These manipulations limit the generalizability of the results. NEW METHOD The current study is a methodological validation of procedures aimed at obtaining all-night fMRI data in sleeping subjects with minimal exposure to experimentally induced sleep deprivation. Specifically, subjects slept in the scanner on two consecutive nights, allowing the first night to serve as an adaptation night. RESULTS/COMPARISON WITH EXISTING METHOD(S) Sleep scoring results from simultaneously acquired electroencephalography data on Night 2 indicate that subjects (n = 12) reached the full spectrum of sleep stages including slow-wave (M = 52.1 min, SD = 26.5 min) and rapid eye movement (REM, M = 45.2 min, SD = 27.9 min) sleep and exhibited a mean of 2.1 (SD = 1.1) nonREM-REM sleep cycles. CONCLUSIONS It was found that by diligently applying fundamental principles and methodologies of sleep and neuroimaging science, performing all-night fMRI sleep studies is feasible. However, because the two nights of the study were performed consecutively, some sleep deprivation from Night 1 as a cause of the Night 2 results is likely, so consideration should be given to replicating the current study with a washout period. It is envisioned that other laboratories can adopt the core features of this protocol to obtain similar results.
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Affiliation(s)
- Thomas M Moehlman
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Jacco A de Zwart
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Miranda G Chappel-Farley
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Xiao Liu
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA; Department of Biomedical Engineering, Pennsylvania State University, USA
| | - Irene B McClain
- Office of the Clinical Director, National Institute of Neurological Disorders and Stroke, USA
| | - Catie Chang
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA; Department of Electrical Engineering and Computer Science, Vanderbilt University, USA
| | - Hendrik Mandelkow
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Pinar S Özbay
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Nicholas L Johnson
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Rebecca E Bieber
- Audiology Unit, National Institute on Deafness and Other Communication Disorders, USA
| | - Katharine A Fernandez
- Section on Sensory Cell Biology, National Institute on Deafness and Other Communication Disorders, USA
| | - Kelly A King
- Audiology Unit, National Institute on Deafness and Other Communication Disorders, USA
| | | | - Carmen C Brewer
- Audiology Unit, National Institute on Deafness and Other Communication Disorders, USA
| | - Peter van Gelderen
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Jeff H Duyn
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA
| | - Dante Picchioni
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, USA; Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, USA.
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16
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Jones BJ, Chappel-Farley MG, Madala KS, Spencer RM. 0105 Effect of Targeted Memory Reactivation during Sleep on Visuospatial Memory in Young And Older Adults. Sleep 2018. [DOI: 10.1093/sleep/zsy061.104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- B J Jones
- University of Massachusetts, Amherst, Amherst, MA
| | | | - K S Madala
- University of Massachusetts, Amherst, Amherst, MA
| | - R M Spencer
- University of Massachusetts, Amherst, Amherst, MA
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17
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Chappel-Farley MG, Madala KS, Jones BJ, Spencer RM. 0211 ENHANCING MEMORY CONSOLIDATION WITH TARGETED MEMORY REACTIVATION DURING SLEEP. Sleep 2017. [DOI: 10.1093/sleepj/zsx050.210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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