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Palmer JA, Kaufman CS, Whitaker-Hilbig AA, Billinger SA. APOE4 carriers display loss of anticipatory cerebral vascular regulation over AD progression. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.10.11.24315344. [PMID: 39417136 PMCID: PMC11482999 DOI: 10.1101/2024.10.11.24315344] [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: 10/19/2024]
Abstract
INTRODUCTION Maintenance of cerebral blood flow during orthostasis is impaired with aging and associated with cognitive decline, but the effect of Apolipoprotein 4-allele (APOE4) is unknown. METHODS Older adults (n=108) (APOE4 carriers, n=47; noncarriers, n=61) diagnosed as cognitively-normal (NC), MCI, or AD participated. Middle cerebral artery blood velocity (MCAv), assessed using Transcranial Doppler ultrasound, and beat-to-beat mean arterial blood pressure (MAP) were continuously recorded during a sit-to-stand transition. Anticipatory and orthostatic-induced MCAv and MAP responses were compared between genotypes and across disease progression. RESULTS Cognitively-normal APOE4 carriers showed greater anticipatory MCAv increase, greater MCAv decrease with orthostasis, and shorter latency of peripheral MAP responses to orthostasis compared to noncarriers. MCAv and MAP responses were delayed and attenuated across the APOE4 disease progression, with no differences between genotypes in MCI and AD. DISCUSSION APOE4 carriers and noncarriers present with distinct phenotypes of cerebral vascular dysfunction during hemodynamic orthostatic challenge. Unique cerebral and peripheral vascular compensation observed in APOE4 carriers may be lost as AD progresses.
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Affiliation(s)
- Jacqueline A. Palmer
- Division of Physical Therapy and Rehabilitation Science, University of Minnesota Medical School, , Minneapolis, MN, United States of America
- Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States of America
- University of Kansas Alzheimer’s Disease Research Center, Fairway, KS, United States of America
| | - Carolyn S. Kaufman
- Department of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, KS, United States of America
- Department of Internal Medicine, Stanford Health Care, Stanford University, Palo Alto, CA, United States of America
| | - Alicen A. Whitaker-Hilbig
- Department of Physical Medicine and Rehabilitation, Medical College of Wisconsin, 123 Milwaukee Way, Milwaukee, WI, United States of America
- Cardiovascular Center, Medical College of Wisconsin, Milwaukee, WI, United States of America
| | - Sandra A. Billinger
- Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States of America
- University of Kansas Alzheimer’s Disease Research Center, Fairway, KS, United States of America
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Marino FR, Wu HT, Etzkorn L, Rooney MR, Soliman EZ, Deal JA, Crainiceanu C, Spira AP, Wanigatunga AA, Schrack JA, Chen LY. Associations of Physical Activity and Heart Rate Variability from a Two-Week ECG Monitor with Cognitive Function and Dementia: The ARIC Neurocognitive Study. SENSORS (BASEL, SWITZERLAND) 2024; 24:4060. [PMID: 39000839 PMCID: PMC11244549 DOI: 10.3390/s24134060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 06/10/2024] [Accepted: 06/19/2024] [Indexed: 07/16/2024]
Abstract
Low physical activity (PA) measured by accelerometers and low heart rate variability (HRV) measured from short-term ECG recordings are associated with worse cognitive function. Wearable long-term ECG monitors are now widely used, and some devices also include an accelerometer. The objective of this study was to evaluate whether PA or HRV measured from long-term ECG monitors was associated with cognitive function among older adults. A total of 1590 ARIC participants had free-living PA and HRV measured over 14 days using the Zio® XT Patch [aged 72-94 years, 58% female, 32% Black]. Cognitive function was measured by cognitive factor scores and adjudicated dementia or mild cognitive impairment (MCI) status. Adjusted linear or multinomial regression models examined whether higher PA or higher HRV was cross-sectionally associated with higher factor scores or lower odds of MCI/dementia. Each 1-unit increase in the total amount of PA was associated with higher global cognition (β = 0.30, 95% CI: 0.16-0.44) and executive function scores (β = 0.38, 95% CI: 0.22-0.53) and lower odds of MCI (OR = 0.38, 95% CI: 0.22-0.67) or dementia (OR = 0.25, 95% CI: 0.08-0.74). HRV (i.e., SDNN and rMSSD) was not associated with cognitive function. More research is needed to define the role of wearable ECG monitors as a tool for digital phenotyping of dementia.
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Affiliation(s)
- Francesca R. Marino
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Center on Aging and Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Hau-Tieng Wu
- Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA
| | - Lacey Etzkorn
- Center on Aging and Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Mary R. Rooney
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Welch Center for Prevention, Epidemiologic, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Elsayed Z. Soliman
- Department of Cardiology, Wake Forest University School of Medicine, Winston-Salem, NC 27109, USA
| | - Jennifer A. Deal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Ciprian Crainiceanu
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Adam P. Spira
- Center on Aging and Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD 20205, USA
| | - Amal A. Wanigatunga
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Center on Aging and Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Jennifer A. Schrack
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Center on Aging and Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Lin Yee Chen
- Lillehei Heart Institute, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN 55455, USA
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Attreed A, Morand LR, Pond DC, Sturmberg JP. The Clinical Role of Heart Rate Variability Assessment in Cognitively Impaired Patients and Its Applicability in Community Care Settings: A Systematic Review of the Literature. Cureus 2024; 16:e61703. [PMID: 38975380 PMCID: PMC11226213 DOI: 10.7759/cureus.61703] [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] [Accepted: 06/05/2024] [Indexed: 07/09/2024] Open
Abstract
Heart rate variability (HRV) correlates well with a person's overall physiological function. Clinically, HRV is successfully used in acute care to identify impending infections, but little is known about its potential in the management of chronic diseases like cognitive decline/dementia. The aim of this study was to identify the best available knowledge about HRV in cognitively impaired populations that might be applied to improve clinical practice in community settings. We conducted a systematic literature search in PubMed, Embase, and Cochrane databases published from January 2009 to August 2022. Eligible studies were selected using Covidence and each study underwent qualitative assessment using the Mixed Method Appraisal Tool. At each stage of selection, each study was reviewed independently by two members of the team, and any disputes were discussed along the way. The literature identified that the brain regions controlling HRV are also those affected by dementias of Alzheimer's type (AD) and Lewy body types (DLB). HRV was impaired in both types, with DLB showing greater impairment in all HRV parameters compared to AD. No studies explored the temporal changes of HRV or its use in the clinical management of people with cognitive impairment (CI). The current lack of standardization of HRV recording and analysis limits its use in clinical practice. HRV may emerge as a potentially useful tool to identify people with early/preclinical memory impairment and help to differentiate AD from DLB. Longitudinal HRV measurement is emerging as a useful way to monitor disease progression and treatment response, and continuous HRV measurement may prove useful in the early identification of sepsis and its complications in patients no longer able to communicate their illness experiences.
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Affiliation(s)
- Amanda Attreed
- General Medicine, Central Coast Local Health District, Gosford, AUS
| | - Louisa R Morand
- General Medicine, Royal Brisbane and Women's Hospital, Brisbane, AUS
| | - Dimity C Pond
- General Practice, Wicking Dementia Research and Training Centre, Hobart, AUS
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Mather M. The emotion paradox in the aging body and brain. Ann N Y Acad Sci 2024; 1536:13-41. [PMID: 38676452 DOI: 10.1111/nyas.15138] [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] [Indexed: 04/29/2024]
Abstract
With age, parasympathetic activity decreases, while sympathetic activity increases. Thus, the typical older adult has low heart rate variability (HRV) and high noradrenaline levels. Younger adults with this physiological profile tend to be unhappy and stressed. Yet, with age, emotional experience tends to improve. Why does older adults' emotional well-being not suffer as their HRV decreases? To address this apparent paradox, I present the autonomic compensation model. In this model, failing organs, the initial phases of Alzheimer's pathology, and other age-related diseases trigger noradrenergic hyperactivity. To compensate, older brains increase autonomic regulatory activity in the pregenual prefrontal cortex (PFC). Age-related declines in nerve conduction reduce the ability of the pregenual PFC to reduce hyperactive noradrenergic activity and increase peripheral HRV. But these pregenual PFC autonomic compensation efforts have a significant impact in the brain, where they bias processing in favor of stimuli that tend to increase parasympathetic activity (e.g., stimuli that increase feelings of safety) and against stimuli that tend to increase sympathetic activity (e.g., threatening stimuli). In summary, the autonomic compensation model posits that age-related chronic sympathetic/noradrenergic hyperactivity stimulates regulatory attempts that have the side effect of enhancing emotional well-being.
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Affiliation(s)
- Mara Mather
- Leonard Davis School of Gerontology, Department of Psychology, and Department of Biomedical Engineering, University of Southern California, Los Angeles, California, USA
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Marino FR, Wu HT, Etzkorn L, Rooney MR, Soliman EZ, Deal JA, Crainiceanu C, Spira AP, Wanigatunga AA, Schrack JA, Chen LY. Associations of Physical Activity and Heart Rate Variability from a Two-Week ECG Monitor with Cognitive Function and Dementia: the ARIC Neurocognitive Study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.01.24303633. [PMID: 38496423 PMCID: PMC10942521 DOI: 10.1101/2024.03.01.24303633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
BACKGROUND Low physical activity (PA) measured from accelerometers and low heart rate variability (HRV) measured from short-term ECG recordings are associated with worse cognitive function. Wearable long-term ECG monitors are now widely used. These monitors can provide long-term HRV data and, if embedded with an accelerometer, they can also provide PA data. Whether PA or HRV measured from long-term ECG monitors is associated with cognitive function among older adults is unknown. METHODS Free-living PA and HRV were measured simultaneously over 14-days using the Zio ® XT Patch among 1590 participants in the Atherosclerosis Risk in Communities Study [aged 72-94 years, 58% female, 32% Black]. Total amount of PA was estimated by total mean amplitude deviation (TMAD) from the 14-day accelerometry raw data. HRV indices (SDNN and rMSSD) were measured from the 14-day ECG raw data. Cognitive factor scores for global cognition, executive function, language, and memory were derived using latent variable methods. Dementia or mild cognitive impairment (MCI) status was adjudicated. Linear or multinomial regression models examined whether higher PA or higher HRV was cross-sectionally associated with higher factor scores or lower odds of MCI/dementia. Models were adjusted for demographic and medical comorbidities. RESULTS Each 1-unit higher in total amount of PA was significantly associated with 0.30 higher global cognition factor scores (95% CI: 0.16-0.44), 0.38 higher executive function factor scores (95% CI: 0.22-0.53), and 62% lower odds of MCI (OR: 0.38, 95% CI: 0.22-0.67) or 75% lower odds of dementia (OR: 0.25, 95% CI: 0.08-0.74) versus unimpaired cognition. Neither HRV measure was significantly associated with cognitive function or dementia. CONCLUSIONS PA derived from a 2-week ECG monitor with an embedded accelerometer was significantly associated with higher cognitive test performance and lower odds of MCI/dementia among older adults. By contrast, HRV indices measured over 2 weeks were not significantly associated with cognitive outcomes. More research is needed to define the role of wearable ECG monitors as a tool for digital phenotyping of dementia. CLINICAL PERSPECTIVE What Is New?: This cross-sectional study evaluated associations between physical activity (PA) and heart rate variability (HRV) measured over 14 days from a wearable ECG monitor with cognitive function.Higher total amount of PA was associated with higher global cognition and executive function, as well as lower odds of mild cognitive impairment or dementia.HRV indices measured over 2 weeks were not significantly associated with cognitive outcomes.What Are the Clinical Implications?: These findings replicate positive associations between PA and cognitive function using accelerometer data from a wearable ECG monitor with an embedded accelerometer.These findings raise the possibility of using wearable ECG monitors (with embedded accelerometers) as a promising tool for digital phenotyping of dementia.
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Liu KY, Whitsel EA, Heiss G, Palta P, Reeves S, Lin FV, Mather M, Roiser JP, Howard R. Heart rate variability and risk of agitation in Alzheimer's disease: the Atherosclerosis Risk in Communities Study. Brain Commun 2023; 5:fcad269. [PMID: 37946792 PMCID: PMC10631859 DOI: 10.1093/braincomms/fcad269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 07/24/2023] [Accepted: 10/11/2023] [Indexed: 11/12/2023] Open
Abstract
Agitation in Alzheimer's disease is common and may be related to impaired emotion regulation capacity. Heart rate variability, a proposed index of autonomic and emotion regulation neural network integrity, could be associated with agitation propensity in Alzheimer's disease. We used the Atherosclerosis Risk in Communities Study cohort data, collected over seven visits spanning over two decades, to investigate whether heart rate variability (change) was associated with agitation risk in individuals clinically diagnosed with dementia due to Alzheimer's disease. Agitation (absence/presence) at Visit 5, the primary outcome, was based on the Neuropsychiatric Inventory agitation/aggression subscale, or a composite score comprising the total number of agitation/aggression, irritability, disinhibition and aberrant motor behaviour subscales present. Visit 1-5 heart rate variability measures were the log-transformed root mean square of successive differences in R-R intervals and standard deviation of normal-to-normal R-R intervals obtained from resting, supine, standard 12-lead ECGs. To aid interpretability, heart rate variability data were scaled such that model outputs were expressed for each 0.05 log-unit change in heart rate variability (which approximated to the observed difference in heart rate variability with every 5 years of age). Among 456 participants who had dementia, 120 were clinically classified to have dementia solely attributable to Alzheimer's disease. This group showed a positive relationship between heart rate variability and agitation risk in regression models, which was strongest for measures of (potentially vagally mediated) heart rate variability change over the preceding two decades. Here, a 0.05 log-unit of heart rate variability change was associated with an up to 10-fold increase in the odds of agitation and around a half-unit increase in the composite agitation score. Associations persisted after controlling for participants' cognitive status, heart rate (change), sociodemographic factors, co-morbidities and medications with autonomic effects. Further confirmatory studies, incorporating measures of emotion regulation, are needed to support heart rate variability indices as potential agitation propensity markers in Alzheimer's disease and to explore underlying mechanisms as targets for treatment development.
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Affiliation(s)
- Kathy Y Liu
- Division of Psychiatry, University College London, London W1T 7NF, UK
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Gerardo Heiss
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Priya Palta
- Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA
- Department of Epidemiology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Suzanne Reeves
- Division of Psychiatry, University College London, London W1T 7NF, UK
| | - Feng V Lin
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Mara Mather
- Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089, USA
| | - Jonathan P Roiser
- Institute of Cognitive Neuroscience, University College London, London WC1N 3AZ, UK
| | - Robert Howard
- Division of Psychiatry, University College London, London W1T 7NF, UK
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Lin FV, Heffner KL. Autonomic nervous system flexibility for understanding brain aging. Ageing Res Rev 2023; 90:102016. [PMID: 37459967 PMCID: PMC10530154 DOI: 10.1016/j.arr.2023.102016] [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: 12/14/2022] [Revised: 07/07/2023] [Accepted: 07/13/2023] [Indexed: 07/20/2023]
Abstract
A recent call was made for autonomic nervous system (ANS) measures as digital health markers for early detection of Alzheimer's disease and related dementia (AD/ADRD). Nevertheless, contradictory or inconclusive findings exist. To help advance understanding of ANS' role in dementia, we draw upon aging and dementia-related literature, and propose a framework that centers on the role of ANS flexibility to guide future work on application of ANS function to differentiating the degree and type of dementia-related brain pathologies. We first provide a brief review of literature within the past 10 years on ANS and dementia-related brain pathologies. Next, we present an ANS flexibility model, describing how the model can be applied to understand these brain pathologies, as well as differentiate or even be leveraged to modify typical brain aging and dementia. Lastly, we briefly discuss the implication of the model for understanding resilience and vulnerability to dementia-related outcomes.
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Affiliation(s)
- Feng V Lin
- Department of Psychiatry and Behavioral Sciences, Stanford University, USA; Wu Tsai Neurosciences Institute, Stanford University, USA.
| | - Kathi L Heffner
- School of Nursing, University of Rochester, USA; Department of Psychiatry, School of Medicine and Dentistry, University of Rochester, USA; Department of Medicine, School of Medicine and Dentistry, University of Rochester, USA
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Chen CW, Kwok YT, Cheng YT, Huang YS, Kuo TBJ, Wu CH, Du PJ, Yang AC, Yang CCH. Reduced slow-wave activity and autonomic dysfunction during sleep precede cognitive deficits in Alzheimer's disease transgenic mice. Sci Rep 2023; 13:11231. [PMID: 37433857 DOI: 10.1038/s41598-023-38214-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 06/26/2023] [Indexed: 07/13/2023] Open
Abstract
Occurrence of amyloid-β (Aβ) aggregation in brain begins before the clinical onset of Alzheimer's disease (AD), as preclinical AD. Studies have reported that sleep problems and autonomic dysfunction associate closely with AD. However, whether they, especially the interaction between sleep and autonomic function, play critical roles in preclinical AD are unclear. Therefore, we investigated how sleep patterns and autonomic regulation at different sleep-wake stages changed and whether they were related to cognitive performance in pathogenesis of AD mice. Polysomnographic recordings in freely-moving APP/PS1 and wild-type (WT) littermates were collected to study sleep patterns and autonomic function at 4 (early disease stage) and 8 months of age (advanced disease stage), cognitive tasks including novel object recognition and Morris water maze were performed, and Aβ levels in brain were measured. APP/PS1 mice at early stage of AD pathology with Aβ aggregation but without significant differences in cognitive performance had frequent sleep-wake transitions, lower sleep-related delta power percentage, lower overall autonomic activity, and lower parasympathetic activity mainly during sleep compared with WT mice. The same phenomenon was observed in advanced-stage APP/PS1 mice with significant cognitive deficits. In mice at both disease stages, sleep-related delta power percentage correlated positively with memory performance. At early stage, memory performance correlated positively with sympathetic activity during wakefulness; at advanced stage, memory performance correlated positively with parasympathetic activity during both wakefulness and sleep. In conclusion, sleep quality and distinction between wake- and sleep-related autonomic function may be biomarkers for early AD detection.
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Affiliation(s)
- Chieh-Wen Chen
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Health and Leisure Management, Yuanpei University of Medical Technology, Hsinchu, Taiwan
| | - Yam-Ting Kwok
- Department of Neurology, Far Eastern Memorial Hospital, New Taipei, Taiwan
| | - Yu-Ting Cheng
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yu-Shan Huang
- Department of Anesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Terry B J Kuo
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Education and Research, Taipei City Hospital, Taipei, Taiwan
- Center for Mind and Brain Medicine, Tsaotun Psychiatric Center, Ministry of Health and Welfare, Nantou, Taiwan
| | - Cheng-Han Wu
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Pei-Jing Du
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Albert C Yang
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan.
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Institute of Brain Science, Digital Medicine and Smart Healthcare Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan.
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan.
| | - Cheryl C H Yang
- Institute of Brain Science, Brain Research Center, and Sleep Research Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St., Taipei, 11221, Taiwan.
- Sleep Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Department of Education and Research, Taipei City Hospital, Taipei, Taiwan.
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Lin FV, Zuo Y, Conwell Y, Wang KH. New horizons in emotional well-being and brain aging: Potential lessons from cross-species research. Int J Geriatr Psychiatry 2023; 38:e5936. [PMID: 37260057 PMCID: PMC10652707 DOI: 10.1002/gps.5936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Emotional wellbeing (EWB) is a multi-faceted concept of immediate relevance to human health. NIH recently initiated a series of research networks to advance understanding of EWB. Our network (NEW Brain Aging) focuses on mechanistic understanding of EWB in relation to brain aging. Here, by synthesizing the literature on emotional processing and the underlying brain circuit mechanisms in human and non-human animals, we propose a reactivity and reappraisal model for understanding EWB and its age-related changes. This model emphasizes the dynamic interactions between affective stimuli, behavioral/physiological responses, brain emotional states, and subjective feelings. It also aims to integrate the unique emotional processes involved in explaining EWB in aging humans with the emerging mechanistic insight of topologically conserved emotional brain networks from cross-species studies. We also highlight the research opportunities and challenges in EWB and brain aging research and the potential application of the model in addressing these issues.
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Affiliation(s)
- Feng Vankee Lin
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA
| | - Yi Zuo
- Department of Molecular Cellular and Developmental Biology, University of California, Santa Cruz, CA
| | - Yeates Conwell
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY
| | - Kuan Hong Wang
- Department of Neuroscience, University of Rochester Medical Center, Rochester, NY
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Molloy C, Choy EH, Arechavala RJ, Buennagel D, Nolty A, Spezzaferri MR, Sin C, Rising S, Yu J, Al-Ezzi A, Kleinman MT, Kloner RA, Arakaki X. Resting heart rate (variability) and cognition relationships reveal cognitively healthy individuals with pathological amyloid/tau ratio. FRONTIERS IN EPIDEMIOLOGY 2023; 3:1168847. [PMID: 37587981 PMCID: PMC10428767 DOI: 10.3389/fepid.2023.1168847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Abstract
Introduction Resting heart rate (HR) and heart rate variability (HRV) have been linked with cognition in the general population and in older individuals. The knowledge of this aspect of heart-brain relationship is relatively absent in older individuals with early Alzheimer's disease (AD) pathology. This study explores relationships of the HR, HRV, and cognition in cognitively healthy individuals with pathological amyloid/tau ratio (CH-PATs) in cerebral spinal fluid (CSF) compared to those with normal ratio (CH-NATs). Methods We examined therelationshipsbetween1) resting HR and Mini-Mental State Examination (MMSE); 2) resting HR and brain processing during Stroop interference; and 3) resting vagally mediated HRV (vmHRV) and task switching performance. Results Our studies showed that compared to CH-NATs, those CH-PATs with higher resting HR presented with lower MMSE, and less brain activation during interference processing. In addition, resting vmHRV was significantly correlated with task switching accuracy in CH-NATs, but not in CH-PATs. Discussion Thesethreedifferenttestsindicatedysfunctionalheart-brainconnections in CH-PATs, suggesting a potential cardio-cerebral dysfunctional integration.
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Affiliation(s)
- Cathleen Molloy
- Cognition and Brain Integration Laboratory, Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
| | - Elizabeth H. Choy
- Department of Environmental and Occupational Health, University of California, Irvine, Irvine, CA, United States
| | - Rebecca J. Arechavala
- Department of Environmental and Occupational Health, University of California, Irvine, Irvine, CA, United States
| | - David Buennagel
- Clinical Neuroscience Laboratory, Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
| | - Anne Nolty
- Graduate School of Psychology & Marriage and Family Therapy, Fuller Theological Seminary, Pasadena, CA, United States
| | - Mitchell R. Spezzaferri
- Graduate School of Psychology & Marriage and Family Therapy, Fuller Theological Seminary, Pasadena, CA, United States
| | - Caleb Sin
- Graduate School of Psychology & Marriage and Family Therapy, Fuller Theological Seminary, Pasadena, CA, United States
| | - Shant Rising
- Graduate School of Psychology & Marriage and Family Therapy, Fuller Theological Seminary, Pasadena, CA, United States
| | - Jeremy Yu
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, CA, United States
| | - Abdulhakim Al-Ezzi
- Cognition and Brain Integration Laboratory, Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
| | - Michael T. Kleinman
- Department of Environmental and Occupational Health, University of California, Irvine, Irvine, CA, United States
| | - Robert A. Kloner
- Clinical Neuroscience Laboratory, Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
- Cardiovascular Research, Huntington Medical Research Institutes, Pasadena, CA, United States
- Cardiovascular Division, Department of Medicine, Keck School of Medicine at University of Southern California, Los Angeles, CA, United States
| | - Xianghong Arakaki
- Cognition and Brain Integration Laboratory, Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
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Turnbull A, Anthony M, Tadin D, Porsteinsson AP, Heffner K, Lin FV. Effect of online tDCS to left somatomotor cortex on neuropsychiatric symptoms among older adults at risk for dementia. Cortex 2023; 159:131-141. [PMID: 36623419 PMCID: PMC9931675 DOI: 10.1016/j.cortex.2022.10.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 09/28/2022] [Accepted: 10/19/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPS) in mild cognitive impairment (MCI) cause distress to patients and caregivers, and accelerate progression to dementia. Transcranial direct current stimulation (tDCS) is a promising non-invasive treatment for NPS. OBJECTIVE/HYPOTHESIS This pilot study assessed behavioral and neural effects of a 4-week anodal tDCS intervention targeting left sensorimotor cortex (LSMC: left precentral/postcentral gyri) during visual attention (compared to online sham tDCS), in 40 older adults (24 females, mean age = 71) with MCI. METHODS A phase 0 double-blinded randomized control trial was conducted. NPS (patient-reported mood symptoms plus a caregiver-reported questionnaire) and fMRI were measured at baseline and immediately post-intervention. RESULTS Generalized Estimating Equations found no significant group by time interactions for either NPS measure. However, there was evidence of decreased patient-reported NPS (Wald's χ2 = 3.80, p = .051), decreased LSMC activation during visual attention (Wald's χ2 = 2.93, p = .087), and increased LSMC-amygdala resting-state functional connectivity (rsFC; Wald's χ2 = 3.13, p = .077) in intervention group from pre-to post-intervention. Decrease in LSMC activation (Wald's χ2 = 9.20, p = .002) and increase in LSMC-amygdala rsFC (Wald's χ2 = 4.72, p = .030) related to decreased patient-reported NPS. Increased positive valence across sessions was significantly associated with intervention-related NPS improvement (Wald's χ2 = 22.92, p < .001). There were no findings for caregiver-reported NPS. Effects were stronger for left postcentral compared to left precentral gyrus. CONCLUSION We found tentative evidence that tDCS applied to LSMC during visual attention in older adults with MCI improved NPS via changes in LSMC activation and LSMC-amygdala rsFC, suggesting improved emotion regulation. Patient-reported NPS was more sensitive to these changes than caregiver-reports, and effects were strongest for left postcentral gyrus. Follow-up studies should perform precise mechanistic investigation and efficacy testing.
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Affiliation(s)
- Adam Turnbull
- CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, CA, USA; Departments of Brain and Cognitive Sciences, Neuroscience and Ophthalmology, University of Rochester, NY, USA.
| | - Mia Anthony
- CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, CA, USA; Departments of Brain and Cognitive Sciences, Neuroscience and Ophthalmology, University of Rochester, NY, USA
| | - Duje Tadin
- Departments of Brain and Cognitive Sciences, Neuroscience and Ophthalmology, University of Rochester, NY, USA
| | - Anton P Porsteinsson
- Departments of Brain and Cognitive Sciences, Neuroscience and Ophthalmology, University of Rochester, NY, USA; Department of Psychiatry, University of Rochester Medical Center, NY, USA
| | - Kathi Heffner
- Department of Psychiatry, University of Rochester Medical Center, NY, USA; Elaine Hubbard Center for Nursing Research on Aging, School of Nursing, University of Rochester Medical Center, NY, USA; Division of Geriatrics & Aging, Department of Medicine, University of Rochester Medical Center, NY, USA
| | - Feng V Lin
- CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, CA, USA
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12
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Peralta-Malváez L, Turnbull A, Anthony M, Adeli E, Lin FV. CCA identifies a neurophysiological marker of adaptation capacity that is reliably linked to internal locus of control of cognition in amnestic MCI. GeroScience 2023:10.1007/s11357-023-00730-8. [PMID: 36697886 PMCID: PMC10400522 DOI: 10.1007/s11357-023-00730-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023] Open
Abstract
Locus of control (LOC) describes whether an individual thinks that they themselves (internal LOC) or external factors (external LOC) have more influence on their lives. LOC varies by domain, and a person's LOC for their intellectual capacities (LOC-Cognition) may be a marker of resilience in older adults at risk for dementia, with internal LOC-Cognition relating to better outcomes and improved treatment adherence. Vagal control, a key component of parasympathetic autonomic nervous system (ANS) regulation, may reflect a neurophysiological biomarker of internal LOC-Cognition. We used canonical correlation analysis (CCA) to identify a shared neurophysiological marker of ANS regulation from electrocardiogram (during auditory working memory) and functional connectivity (FC) data. A canonical variable from root mean square of successive differences (RMSSD) time series and between-network FC was significantly related to internal LOC-Cognition (β = 0.266, SE = 0.971, CI = [0.190, 4.073], p = 0.031) in 65 participants (mean age = 74.7, 32 female) with amnestic mild cognitive impairment (aMCI). Follow-up data from 55 of these individuals (mean age = 73.6, 22 females) was used to show reliability of this relationship (β = 0.271, SE = 0.971, CI = [0.033, 2.630], p = 0.047), and a second sample (40 participants with aMCI/healthy cognition, mean age = 72.7, 24 females) showed that the canonical vector biomarker generalized to visual working memory (β = 0.36, SE = 0.136, CI = [0.023, 0.574], p = 0.037), but not inhibition task RMSSD data (β = 0.08, SE = 1.486, CI = [- 0.354, 0.657], p = 0.685). This canonical vector may represent a biomarker of autonomic regulation that explains how some older adults maintain internal LOC-Cognition as dementia progresses. Future work should further test the causality of this relationship and the modifiability of this biomarker.
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Affiliation(s)
- Lizbeth Peralta-Malváez
- CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Adam Turnbull
- CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA. .,Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY, 14627, USA.
| | - Mia Anthony
- CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA.,Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY, 14627, USA
| | - Ehsan Adeli
- CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
| | - F Vankee Lin
- CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
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13
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Liu Y, Niu H, Zhang T, Cai L, Liu D, Zhao E, Zhu L, Qiao P, Zheng W, Ren P, Wang Z. Altered spontaneous brain activity during dobutamine challenge in healthy young adults: A resting-state functional magnetic resonance imaging study. Front Neurosci 2023; 16:1033569. [PMID: 36685245 PMCID: PMC9853379 DOI: 10.3389/fnins.2022.1033569] [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: 08/31/2022] [Accepted: 12/14/2022] [Indexed: 01/09/2023] Open
Abstract
Introduction There is a growing interest in exploring brain-heart interactions. However, few studies have investigated the brain-heart interactions in healthy populations, especially in healthy young adults. The aim of this study was to explore the association between cardiovascular and spontaneous brain activities during dobutamine infusion in healthy young adults. Methods Forty-eight right-handed healthy participants (43 males and 5 females, range: 22-34 years) underwent vital signs monitoring, cognitive function assessment and brain MRI scans. Cardiovascular function was evaluated using blood pressure and heart rate, while two resting-state functional magnetic resonance imaging (rs-fMRI) methods-regional homogeneity (ReHo) and amplitude of low-frequency fluctuation (ALFF)-were used together to reflect the local neural activity of the brain. Logistic regression was used to model the association between brain and heart. Results Results showed that blood pressure and heart rate significantly increased after dobutamine infusion, and the performance in brain functional activity was the decrease in ReHo in the left gyrus rectus and in ALFF in the left frontal superior orbital. The results of logistic regression showed that the difference of diastolic blood pressure (DBP) had significant positive relationship with the degree of change of ReHo, while the difference of systolic blood pressure (SBP) had significant negative impact on the degree of change in ALFF. Discussion These findings suggest that the brain-heart interactions exist in healthy young adults under acute cardiovascular alterations, and more attention should be paid to blood pressure changes in young adults and assessment of frontal lobe function to provide them with more effective health protection management.
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Affiliation(s)
- Yawen Liu
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Haijun Niu
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Tingting Zhang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China,Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Linkun Cai
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Dong Liu
- Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Erwei Zhao
- National Space Science Center, Chinese Academy of Sciences (CAS), Beijing, China
| | - Liang Zhu
- National Research Center for Rehabilitation Technical Aids, Beijing, China
| | - PengGang Qiao
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Wei Zheng
- National Space Science Center, Chinese Academy of Sciences (CAS), Beijing, China
| | - Pengling Ren
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China,Pengling Ren,
| | - Zhenchang Wang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China,Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China,*Correspondence: Zhenchang Wang,
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14
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Yoo HJ, Nashiro K, Min J, Cho C, Bachman SL, Nasseri P, Porat S, Dutt S, Grigoryan V, Choi P, Thayer JF, Lehrer PM, Chang C, Mather M. Heart rate variability (HRV) changes and cortical volume changes in a randomized trial of five weeks of daily HRV biofeedback in younger and older adults. Int J Psychophysiol 2022; 181:50-63. [PMID: 36030986 PMCID: PMC11195601 DOI: 10.1016/j.ijpsycho.2022.08.006] [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: 02/24/2022] [Revised: 07/02/2022] [Accepted: 08/19/2022] [Indexed: 11/15/2022]
Abstract
Previous studies indicate that the structure and function of medial prefrontal cortex (PFC) and lateral orbitofrontal cortex (OFC) are associated with heart rate variability (HRV). Typically, this association is assumed to reflect the PFC's role in controlling HRV and emotion regulation, with better prefrontal structural integrity supporting greater HRV and better emotion regulation. However, as a control system, the PFC must monitor and respond to heart rate oscillatory activity. Thus, engaging in regulatory feedback during heart rate oscillatory activity may over time help shape PFC structure, as relevant circuits and connections are modified. In the current study with younger and older adults, we tested whether 5 weeks of daily sessions of biofeedback to increase heart rate oscillations (Osc+ condition) vs. to decrease heart rate oscillations (Osc- condition) affected cortical volume in left OFC and right OFC, two regions particularly associated with HRV in prior studies. The left OFC showed significant differences in volume change across conditions, with Osc+ increasing volume relative to Osc-. The volume changes in left OFC were significantly correlated with changes in mood disturbance. In addition, resting low frequency HRV increased more in the Osc+ than in the Osc- condition. These findings indicate that daily biofeedback sessions regulating heart rate oscillatory activity can shape both resting HRV and the brain circuits that help control HRV and regulate emotion.
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Affiliation(s)
- Hyun Joo Yoo
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Kaoru Nashiro
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Jungwon Min
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Christine Cho
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Shelby L Bachman
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Padideh Nasseri
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Shai Porat
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Shubir Dutt
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Vardui Grigoryan
- University of California, Los Angeles, Los Angeles, CA 90095, United States of America
| | - Paul Choi
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Julian F Thayer
- University of California, Irvine, Irvine, CA 92697, United States of America
| | - Paul M Lehrer
- Rutgers University, Piscataway, NJ 08854, United States of America
| | - Catie Chang
- Vanderbilt University, TN 37235, United States of America
| | - Mara Mather
- University of Southern California, Los Angeles, CA 90089, United States of America.
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15
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Turnbull A, Seitz A, Tadin D, Lin FV. Unifying framework for cognitive training interventions in brain aging. Ageing Res Rev 2022; 81:101724. [PMID: 36031055 PMCID: PMC10681332 DOI: 10.1016/j.arr.2022.101724] [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: 04/15/2022] [Revised: 07/29/2022] [Accepted: 08/22/2022] [Indexed: 01/31/2023]
Abstract
Cognitive training is a promising tool for slowing or preventing cognitive decline in older adults at-risk for dementia. Its success, however, has been limited by a lack of evidence showing that it reliably causes broad training effects: improvements in cognition across a range of domains that lead to real-world benefits. Here, we propose a framework for enhancing the effect of cognitive training interventions in brain aging. The focus is on (A) developing cognitive training task paradigms that are informed by population-level cognitive characteristics and pathophysiology, and (B) personalizing how these sets are presented to participants during training via feedback loops that aim to optimize "mismatch" between participant capacity and training demands using both adaptation and random variability. In this way, cognitive training can better alter whole-brain topology in a manner that supports broad training effects in the context of brain aging.
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Affiliation(s)
- Adam Turnbull
- University of Rochester, USA; Stanford University, USA
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16
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Chen Q, Turnbull A, Cole M, Zhang Z, Lin FV. Enhancing Cortical Network-level Participation Coefficient as a Potential Mechanism for Transfer in Cognitive Training in aMCI. Neuroimage 2022; 254:119124. [PMID: 35331866 PMCID: PMC9199485 DOI: 10.1016/j.neuroimage.2022.119124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 03/19/2022] [Indexed: 02/06/2023] Open
Abstract
Effective cognitive training must improve cognition beyond the trained domain (show a transfer effect) and be applicable to dementia-risk populations, e.g., amnesic mild cognitive impairment (aMCI). Theories suggest training should target processes that 1) show robust engagement, 2) are domain-general, and 3) reflect long-lasting changes in brain organization. Brain regions that connect to many different networks (i.e., show high participation coefficient; PC) are known to support integration. This capacity is 1) relatively preserved in aMCI, 2) required across a wide range of cognitive domains, and 3) trait-like. In 49 individuals with aMCI that completed a 6-week visual speed of processing training (VSOP) and 28 active controls, enhancement in PC was significantly more related to transfer to working memory at global and network levels in VSOP compared to controls, particularly in networks with many high-PC nodes. This suggests that enhancing brain integration may provide a target for developing effective cognitive training.
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Affiliation(s)
- Quanjing Chen
- CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, United States
| | - Adam Turnbull
- CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, United States; School of Nursing, University of Rochester, United States.
| | - Martin Cole
- Department of Biostatics and Computational Biology, University of Rochester, United States
| | - Zhengwu Zhang
- Department of Statistics and Operations Research, UNC-Chapel Hill, United States
| | - Feng V Lin
- CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, United States; The Wu Tsai Neuroscience Institute, Stanford University, University of Rochester, United States
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17
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Cheng YC, Huang YC, Huang WL. Heart rate variability in patients with dementia or neurocognitive disorders: A systematic review and meta-analysis. Aust N Z J Psychiatry 2022; 56:16-27. [PMID: 33287558 DOI: 10.1177/0004867420976853] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Heart rate variability, a quantitative measure of mainly parasympathetic activity, has been applied in evaluating many types of psychiatric and neurological disorders, including dementia (or neurocognitive disorders). However, although dementia patients often showed significantly lower heart rate variability (various indices) than healthy controls, and different types of dementia had distinct heart rate variability features, the results were not identical across studies. We designed a systematic review and meta-analysis for incorporating data from different studies. METHODS We gathered studies comparing heart rate variability in patients with dementia and in healthy controls. Heart rate variability was analysed in several ways: parasympathetic function in hierarchical order (main analysis), total variability, comparison of heart rate variability between different subtypes of dementia, specific indices of heart rate variability and heart rate variability reactivity. RESULTS In the initial search, we found 3425 relevant articles, from which 24 studies with a total of 1107 dementia patients and 1017 control participants finally entered the main meta-analysis. The dementia patients had a significantly lower resting heart rate variability for parasympathetic function (Hedges' g = -0.3596, p = 0.0002) and total variability (Hedges' g = -0.3059, p = 0.0002) than the controls. For diagnostic subgroup analysis relative to the controls, heart rate variability was significantly lower in patients with mild cognitive impairment (Hedges' g = -0.3060) and in patients with dementia with Lewy bodies (Hedges' g = -1.4154, p < 0.0001). Relative to patients with Alzheimer's disease, heart rate variability in patients with dementia with Lewy bodies was significantly lower (Hedges' g = -1.5465, p = 0.0381). Meta-regression revealed that gender proportion was significantly associated with effect size. CONCLUSION Our results show that dementia patients (especially those with dementia with Lewy bodies and mild cognitive impairment) have lower parasympathetic activity than healthy people. The influence of gender on the results should be carefully interpreted.
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Affiliation(s)
- Ying-Chih Cheng
- Department of Psychiatry, China Medical University Hsinchu Hospital, China Medical University, Hsinchu.,Department of Public Health and Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei.,Research Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei
| | - Yu-Chen Huang
- Research Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei.,Department of Dermatology, Wan Fang Hospital, Taipei Medical University, Taipei.,Department of Dermatology, School of Medicine and College of Medicine, Taipei Medical University, Taipei
| | - Wei-Lieh Huang
- Department of Psychiatry, National Taiwan University Hospital Yunlin Branch, Yunlin.,Department of Psychiatry, National Taiwan University Hospital, Taipei.,Department of Psychiatry, College of Medicine, National Taiwan University, Taipei.,Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei
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18
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Liu KY, Elliott T, Knowles M, Howard R. Heart rate variability in relation to cognition and behavior in neurodegenerative diseases: A systematic review and meta-analysis. Ageing Res Rev 2022; 73:101539. [PMID: 34883203 PMCID: PMC8783051 DOI: 10.1016/j.arr.2021.101539] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 11/05/2021] [Accepted: 12/03/2021] [Indexed: 12/24/2022]
Abstract
Neurodegenerative diseases, which frequently present with neuropsychiatric symptoms related to prefrontal cortical dysfunction, can alter the integrity of the neural networks involved in central autonomic nervous system regulation, which is proposed to be indexed by heart rate variability (HRV). We systematically reviewed the characteristics, methodology and outcomes of 27 studies of HRV in relation to measures of cognition and behavior in neurodegenerative conditions, and assessed the strength of this relationship, cross-sectionally, across 18 studies. A significant, moderate effect was observed (r = 0.25), such that higher HRV was related to better cognitive and behavioral scores, which was not influenced by mean age or cognitive status. There was no evidence of small-study effects but we could not rule out publication bias, and other factors may have contributed to heterogeneity between studies. Our findings support the proposal that HRV may be a marker of self-regulatory processes in neurodegenerative conditions, and further research on this association is needed in relation to neuropsychiatric symptoms and alongside neuroimaging methods. Heart rate variability is proposed to be influenced by a neural network involved in autonomic regulation. Neurodegenerative processes alter the integrity of the central autonomic network. We reviewed studies of HRV and cognition/behavior in neurodegenerative diseases. We found a moderate correlation between HRV and measures of cognition/behavior.
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19
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Turnbull A, Kaplan R, Adeli E, Lin FV. A Novel Explainability Approach for Technology-Driven Translational Research on Brain Aging. J Alzheimers Dis 2022; 88:1229-1239. [PMID: 35754280 PMCID: PMC9399001 DOI: 10.3233/jad-220441] [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] [Indexed: 01/03/2023]
Abstract
Brain aging leads to difficulties in functional independence. Mitigating these difficulties can benefit from technology that predicts, monitors, and modifies brain aging. Translational research prioritizes solutions that can be causally linked to specific pathophysiologies at the same time as demonstrating improvements in impactful real-world outcome measures. This poses a challenge for brain aging technology that needs to address the tension between mechanism-driven precision and clinical relevance. In the current opinion, by synthesizing emerging mechanistic, translational, and clinical research-related frameworks, and our own development of technology-driven brain aging research, we suggest incorporating the appreciation of four desiderata (causality, informativeness, transferability, and fairness) of explainability into early-stage research that designs and tests brain aging technology. We apply a series of work on electrocardiography-based "peripheral" neuroplasticity markers from our work as an illustration of our proposed approach. We believe this novel approach will promote the development and adoption of brain aging technology that links and addresses brain pathophysiology and functional independence in the field of translational research.
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Affiliation(s)
- Adam Turnbull
- Department of Psychiatry and Behavioral Sciences, Stanford University, CA, USA
- School of Nursing, University of Rochester Medical Center, NY, USA
| | - Robert Kaplan
- Clinical Excellence Research Center (CERC), Stanford University, CA, USA
| | - Ehsan Adeli
- Department of Psychiatry and Behavioral Sciences, Stanford University, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, CA, USA
| | - Feng V. Lin
- Department of Psychiatry and Behavioral Sciences, Stanford University, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, CA, USA
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20
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van Noordt S, Heffer T, Willoughby T. A developmental examination of medial frontal theta dynamics and inhibitory control. Neuroimage 2021; 246:118765. [PMID: 34875380 DOI: 10.1016/j.neuroimage.2021.118765] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 11/19/2021] [Accepted: 11/24/2021] [Indexed: 12/11/2022] Open
Abstract
Medial frontal theta-band oscillations are a robust marker of action-outcome monitoring. In a large developmental sample (n = 432, 9-16 years), we examined whether phase and non-phase locked medial frontal theta power were related to inhibitory control among children and adolescents. Our results showed that the well-established increase in medial frontal theta power during inhibitory control was captured largely by non-phase locked dynamics, which partially mediated the positive effect of age on task performance. A person-centered approach also revealed latent classes of individuals based on their multivariate theta power dynamics (phase locked/non-phase locked, GO/NOGO). The class of individuals showing low phase locked and high non-phase locked medial frontal theta were significantly older, had better inhibitory control, scored higher on measures of general cognitive function, and were more efficient in their behavioural responses. The functional significance of phase and non-phase locked theta dynamics, and their potential changes, could have important implications for action-outcome monitoring and cognitive function in both typical and atypical development, as well as related psychopathology .
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Affiliation(s)
- Stefon van Noordt
- Department of Psychology, Mount Saint Vincent University, Halifax, NS, Canada; Department of Psychology, Brock University, St. Catharines, Ontario, Canada.
| | - Taylor Heffer
- Department of Psychology, Brock University, St. Catharines, Ontario, Canada
| | - Teena Willoughby
- Department of Psychology, Brock University, St. Catharines, Ontario, Canada
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21
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Arechavala RJ, Rochart R, Kloner RA, Liu A, Wu DA, Hung SM, Shimojo S, Fonteh AN, Kleinman MT, Harrington MG, Arakaki X. Task switching reveals abnormal brain-heart electrophysiological signatures in cognitively healthy individuals with abnormal CSF amyloid/tau, a pilot study. Int J Psychophysiol 2021; 170:102-111. [PMID: 34666107 PMCID: PMC8865562 DOI: 10.1016/j.ijpsycho.2021.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 10/03/2021] [Accepted: 10/12/2021] [Indexed: 11/07/2022]
Abstract
Electroencephalographic (EEG) alpha oscillations have been related to heart rate variability (HRV) and both change in Alzheimer’s disease (AD). We explored if task switching reveals altered alpha power and HRV in cognitively healthy individuals with AD pathology in cerebrospinal fluid (CSF) and whether HRV improves the AD pathology classification by alpha power alone. We compared low and high alpha event-related desynchronization (ERD) and HRV parameters during task switch testing between two groups of cognitively healthy participants classified by CSF amyloid/tau ratio: normal (CH-NAT, n = 19) or pathological (CH-PAT, n = 27). For the task switching paradigm, participants were required to name the color or word for each colored word stimulus, with two sequential stimuli per trial. Trials include color (cC) or word (wW) repeats with low load repeating, and word (cW) or color switch (wC) for high load switching. HRV was assessed for RR interval, standard deviation of RR-intervals (SDNN) and root mean squared successive differences (RMSSD) in time domain, and low frequency (LF), high frequency (HF), and LF/HF ratio in frequency domain. Results showed that CH-PATs compared to CH-NATs presented: 1) increased (less negative) low alpha ERD during low load repeat trials and lower word switch cost (low alpha: p = 0.008, Cohen’s d = −0.83, 95% confidence interval −1.44 to −0.22, and high alpha: p = 0.019, Cohen’s d = −0.73, 95% confidence interval −1.34 to −0.13); 2) decreasing HRV from rest to task, suggesting hyper-activated sympatho-vagal responses. 3) CH-PATs classification by alpha ERD was improved by supplementing HRV signatures, supporting a potentially compromised brain-heart interoceptive regulation in CH-PATs. Further experiments are needed to validate these findings for clinical significance.
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Affiliation(s)
| | - Roger Rochart
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA 91105, USA
| | - Robert A Kloner
- Cardiovascular Research, Huntington Medical Research Institutes, Pasadena, CA 91105, USA; Division of Cardiovascular Medicine, Dept of Medicine, Keck School of Medicine at University of Southern California, Los Angeles, CA 90033, USA
| | - Anqi Liu
- Department of Computing and Mathematical Sciences (CMS), California Institute of Technology, Pasadena, CA 91125, USA; Department of Computer Science, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Daw-An Wu
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Shao-Min Hung
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Shinsuke Shimojo
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Alfred N Fonteh
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA 91105, USA
| | | | - Michael G Harrington
- Neurology, Keck School of Medicine at University of Southern California, Los Angeles, CA 90033, USA
| | - Xianghong Arakaki
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA 91105, USA.
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22
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Lin FV, Heffner K, Gevirtz R, Zhang Z, Tadin D, Porsteinsson A. Targeting autonomic flexibility to enhance cognitive training outcomes in older adults with mild cognitive impairment: study protocol for a randomized controlled trial. Trials 2021; 22:560. [PMID: 34425878 PMCID: PMC8381519 DOI: 10.1186/s13063-021-05530-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 08/09/2021] [Indexed: 11/23/2022] Open
Abstract
Importance Cognitive training with components that can further enhance the transferred and long-term effects and slow the progress of dementia is needed for preventing dementia. Objective The goal of the study is to test whether improving autonomic nervous system (ANS) flexibility via a resonance frequency breathing (RFB) training will strengthen the effects of a visual speed of processing (VSOP) cognitive training on cognitive and brain function, and slow the progress of dementia in older adults with mild cognitive impairment (MCI). Design Stage II double-blinded randomized controlled trial. The study was prospectively registered at ClinicalTrials.gov, with registration approved on 21 August 2020 (No. NCT04522791). Setting Study-related appointments will be conducted on-site at University of Rochester Medical Center locations. Data collection will be conducted from August 2020 to February 2025. Participants Older adults with MCI (n = 114) will be randomly assigned to an 8-week combined intervention (RFB+VSOP), VSOP with guided imagery relaxation (IR) control, and a IR-only control, with periodical booster training sessions at follow-ups. Mechanistic and distal outcomes include ANS flexibility, measured by heart rate variability, and multiple markers of dementia progress. Data will be collected across a 14-month period. Discussion This will be among the first RCTs to examine in older persons with MCI a novel, combined intervention targeting ANS flexibility, an important contributor to overall environmental adaptation, with an ultimate goal for slowing neurodegeneration. Trial registration ClinicalTrials.gov NCT04522791. Registered on 21 August 2020 Protocol version: STUDY00004727; IRB protocol version 2, approved on 30 July 2020.
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Affiliation(s)
- Feng V Lin
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, USA.,Wu Tsai Neuroscience Institute, Stanford University, Stanford, USA.,Elaine C. Hubbard Center for Nursing Research on Aging, School of Nursing, University of Rochester Medical Center, Rochester, USA.,Department of Brain and Cognitive Sciences, University of Rochester, Rochester, USA
| | - Kathi Heffner
- Elaine C. Hubbard Center for Nursing Research on Aging, School of Nursing, University of Rochester Medical Center, Rochester, USA. .,Department of Medicine, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, USA. .,Department of Psychiatry, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, USA.
| | | | - Zhengwu Zhang
- University of North Carolina-Chapel Hill, Chapel Hill, USA
| | - Duje Tadin
- Department of Brain and Cognitive Sciences, University of Rochester, Rochester, USA.,Department of Neuroscience, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, USA
| | - Anton Porsteinsson
- Department of Psychiatry, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, USA
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23
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Manser P, Thalmann M, Adcock M, Knols RH, de Bruin ED. Can Reactivity of Heart Rate Variability Be a Potential Biomarker and Monitoring Tool to Promote Healthy Aging? A Systematic Review With Meta-Analyses. Front Physiol 2021; 12:686129. [PMID: 34393813 PMCID: PMC8359814 DOI: 10.3389/fphys.2021.686129] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 06/29/2021] [Indexed: 01/01/2023] Open
Abstract
Background: Monitoring phasic responses of heart rate variability (HRV) in terms of HRV reactivity [i. e., the absolute change from resting state to on-task (i.e., absolute values of HRV measured during exercise)] might provide useful insights into the individual psychophysiological responses of healthy middle-aged to older adults (HOA) to cognitive and physical exercises. Objectives: To summarize the evidence of phasic HRV responses to cognitive and physical exercises, and to evaluate key moderating factors influencing these responses. Methods: A systematic review with meta-analyses was performed. Publications up to May 2020 of the databases Medline (EBSCO), Embase, Cochrane Library, CINAHL, Psycinfo, Web of Science, Scopus, and Pedro were considered. Controlled clinical trials and observational studies measuring phasic HRV responses to cognitive and/or physical exercises in HOA (≥50 years) were included. Results: The initial search identified 6,828 articles, of which 43 were included into the systematic review. Compared to resting state, vagally-mediated HRV indices were significantly reduced during all types of exercises [Hedge's g = -0.608, 95 % CI (-0.999 to -0.218), p = 0.002] indicating a significant parasympathetic withdrawal compared to rest. The key moderating variables of these responses identified included exercise intensity for physical exercises, and participant characteristics (i.e., level of cognitive functioning, physical fitness), task demands (i.e., task complexity and modality) and the individual responses to these cognitive challenges for cognitive exercises. In particular, higher task demands (task complexity and physical exercise intensity) were related to larger HRV reactivities. Better physical fitness and cognition were associated with lower HRV reactivities. Additionally, HRV reactivity appeared to be sensitive to training-induced cognitive and neural changes. Conclusion: HRV reactivity seems to be a promising biomarker for monitoring internal training load and evaluating neurobiological effects of training interventions. Further research is warranted to evaluate the potential of HRV reactivity as a monitoring parameter to guide cognitive-motor training interventions and/or as a biomarker for cognitive impairment. This may facilitate the early detection of cognitive impairment as well as allow individualized training adaptations that, in turn, support the healthy aging process by optimizing individual exercise dose and progression of cognitive-motor training.
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Affiliation(s)
- Patrick Manser
- Department of Health Sciences and Technology, Movement Control and Learning-Institute of Human Movement Sciences and Sport, ETH Zurich, Zurich, Switzerland
| | - Melanie Thalmann
- Department of Health Sciences and Technology, Movement Control and Learning-Institute of Human Movement Sciences and Sport, ETH Zurich, Zurich, Switzerland
| | - Manuela Adcock
- Department of Health Sciences and Technology, Movement Control and Learning-Institute of Human Movement Sciences and Sport, ETH Zurich, Zurich, Switzerland
| | - Ruud H Knols
- Research and Education, Physiotherapy Occupational Therapy Research Center, University Hospital of Zurich, Zurich, Switzerland
| | - Eling D de Bruin
- Department of Health Sciences and Technology, Movement Control and Learning-Institute of Human Movement Sciences and Sport, ETH Zurich, Zurich, Switzerland.,Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
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24
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Koenig J, Abler B, Agartz I, Åkerstedt T, Andreassen OA, Anthony M, Bär KJ, Bertsch K, Brown RC, Brunner R, Carnevali L, Critchley HD, Cullen KR, de Geus EJC, de la Cruz F, Dziobek I, Ferger MD, Fischer H, Flor H, Gaebler M, Gianaros PJ, Giummarra MJ, Greening SG, Guendelman S, Heathers JAJ, Herpertz SC, Hu MX, Jentschke S, Kaess M, Kaufmann T, Klimes-Dougan B, Koelsch S, Krauch M, Kumral D, Lamers F, Lee TH, Lekander M, Lin F, Lotze M, Makovac E, Mancini M, Mancke F, Månsson KNT, Manuck SB, Mather M, Meeten F, Min J, Mueller B, Muench V, Nees F, Nga L, Nilsonne G, Ordonez Acuna D, Osnes B, Ottaviani C, Penninx BWJH, Ponzio A, Poudel GR, Reinelt J, Ren P, Sakaki M, Schumann A, Sørensen L, Specht K, Straub J, Tamm S, Thai M, Thayer JF, Ubani B, van der Mee DJ, van Velzen LS, Ventura-Bort C, Villringer A, Watson DR, Wei L, Wendt J, Schreiner MW, Westlye LT, Weymar M, Winkelmann T, Wu GR, Yoo HJ, Quintana DS. Cortical thickness and resting-state cardiac function across the lifespan: A cross-sectional pooled mega-analysis. Psychophysiology 2021; 58:e13688. [PMID: 33037836 DOI: 10.1111/psyp.13688] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 07/27/2020] [Accepted: 07/27/2020] [Indexed: 12/27/2022]
Abstract
Understanding the association between autonomic nervous system [ANS] function and brain morphology across the lifespan provides important insights into neurovisceral mechanisms underlying health and disease. Resting-state ANS activity, indexed by measures of heart rate [HR] and its variability [HRV] has been associated with brain morphology, particularly cortical thickness [CT]. While findings have been mixed regarding the anatomical distribution and direction of the associations, these inconsistencies may be due to sex and age differences in HR/HRV and CT. Previous studies have been limited by small sample sizes, which impede the assessment of sex differences and aging effects on the association between ANS function and CT. To overcome these limitations, 20 groups worldwide contributed data collected under similar protocols of CT assessment and HR/HRV recording to be pooled in a mega-analysis (N = 1,218 (50.5% female), mean age 36.7 years (range: 12-87)). Findings suggest a decline in HRV as well as CT with increasing age. CT, particularly in the orbitofrontal cortex, explained additional variance in HRV, beyond the effects of aging. This pattern of results may suggest that the decline in HRV with increasing age is related to a decline in orbitofrontal CT. These effects were independent of sex and specific to HRV; with no significant association between CT and HR. Greater CT across the adult lifespan may be vital for the maintenance of healthy cardiac regulation via the ANS-or greater cardiac vagal activity as indirectly reflected in HRV may slow brain atrophy. Findings reveal an important association between CT and cardiac parasympathetic activity with implications for healthy aging and longevity that should be studied further in longitudinal research.
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Affiliation(s)
- Julian Koenig
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Section for Experimental Child and Adolescent Psychiatry, Department of Child and Adolescent Psychiatry, Centre for Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
| | - Birgit Abler
- Department of Psychiatry and Psychotherapy III, Ulm University, Ulm, Germany
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| | - Torbjörn Åkerstedt
- Stress Research Institute, Stockholm University, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Mia Anthony
- University of Rochester Medical Center, Rochester, NY, USA
| | - Karl-Jürgen Bär
- Department of Psychosomatic Medicine, University Hospital Jena, Jena, Germany
| | - Katja Bertsch
- Department of General Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
| | - Rebecca C Brown
- Department of Child and Adolescent Psychiatry and Psychotherapy, Ulm University, Ulm, Germany
| | - Romuald Brunner
- Clinic and Polyclinic for Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Luca Carnevali
- Stress Physiology Lab, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Hugo D Critchley
- Psychiatry, BSMS Department of Neuroscience, Brighton and Sussex Medical School (BSMS), University of Sussex, Falmer, UK
| | - Kathryn R Cullen
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Medical School, Minneapolis, MN, USA
| | - Eco J C de Geus
- Department of Biological Psychology, Amsterdam Public Health Research Institute, VU University, Amsterdam, The Netherlands
| | | | - Isabel Dziobek
- Department of Psychology, Berlin School of Mind and Brain, Humboldt Universität, Berlin, Germany
| | - Marc D Ferger
- Department of Psychiatry and Psychotherapy III, Ulm University, Ulm, Germany
| | - Håkan Fischer
- Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Michael Gaebler
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- MindBrainBody Institute, Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Peter J Gianaros
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Melita J Giummarra
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Caulfield Pain Management and Research Centre, Caulfield, VIC, Australia
| | - Steven G Greening
- Department of Psychology, Cognitive and Brain Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Simon Guendelman
- Berlin School of Mind and Brain, Humboldt Universität, Berlin, Germany
| | | | - Sabine C Herpertz
- Department of General Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
| | - Mandy X Hu
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sebastian Jentschke
- Cluster "Languages of Emotion", Freie Universität Berlin, Berlin, Germany
- Department of Psychosocial Science, University of Bergen, Bergen, Norway
| | - Michael Kaess
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Section for Translational Psychobiology in Child and Adolescent Psychiatry, Department of Child and Adolescent Psychiatry, Centre for Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
| | - Tobias Kaufmann
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Bonnie Klimes-Dougan
- Department of Psychology, University of Minnesota, College of Liberal Arts, Minneapolis, MN, USA
| | - Stefan Koelsch
- Cluster "Languages of Emotion", Freie Universität Berlin, Berlin, Germany
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Marlene Krauch
- Department of General Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
| | - Deniz Kumral
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- MindBrainBody Institute, Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Femke Lamers
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Tae-Ho Lee
- Department of Psychology, Virginia Tech, Blacksburg, VA, USA
| | - Mats Lekander
- Stress Research Institute, Stockholm University, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Feng Lin
- University of Rochester Medical Center, Rochester, NY, USA
| | - Martin Lotze
- Functional Imaging Unit, Center of Diagnostic Radiology and Neuroradiology, University of Greifswald, Greifswald, Germany
| | - Elena Makovac
- Centre for Neuroimaging Science, King's College London, London, UK
- Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Matteo Mancini
- Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, UK
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Falk Mancke
- Department of General Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
| | - Kristoffer N T Månsson
- Department of Psychology, Stockholm University, Stockholm, Sweden
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Stephen B Manuck
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mara Mather
- Leonard Davis School of Gerontology, Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Frances Meeten
- School of Psychology, University of Sussex, Brighton, UK
| | - Jungwon Min
- Emotion and Cognition Lab, University of Southern California, Los Angeles, CA, USA
| | - Bryon Mueller
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Medical School, Minneapolis, MN, USA
| | - Vera Muench
- Department of Child and Adolescent Psychiatry and Psychotherapy, Ulm University, Ulm, Germany
| | - Frauke Nees
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | - Lin Nga
- Emotion and Cognition Lab, University of Southern California, Los Angeles, CA, USA
| | - Gustav Nilsonne
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, Stockholm University, Stockholm, Sweden
| | | | - Berge Osnes
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Bjorgvin District Psychiatric Centre, Haukeland University Hospital, Bergen, Norway
| | - Cristina Ottaviani
- Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Allison Ponzio
- Emotion and Cognition Lab, University of Southern California, Los Angeles, CA, USA
| | - Govinda R Poudel
- Behaviour Environment and Cognition Research Program, Mary MacKillop Institute for Health Research, Melbourne, VIC, Australia
| | - Janis Reinelt
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Ping Ren
- University of Rochester Medical Center, Rochester, NY, USA
| | - Michiko Sakaki
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
- Research Institute, Kochi University of Technology, Kami, Japan
| | - Andy Schumann
- Department of Psychosomatic Medicine, University Hospital Jena, Jena, Germany
| | - Lin Sørensen
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Karsten Specht
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Department of Education, UiT/The Arctic University of Norway, Tromsø, Norway
| | - Joana Straub
- Department of Child and Adolescent Psychiatry and Psychotherapy, Ulm University, Ulm, Germany
| | - Sandra Tamm
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, Stockholm University, Stockholm, Sweden
- Department of Psychiatry, Oxford University, Oxford, UK
| | - Michelle Thai
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Medical School, Minneapolis, MN, USA
| | - Julian F Thayer
- Department of Psychological Science, The University of California, Irvine, CA, USA
| | - Benjamin Ubani
- Boston University, School of Public Health, Boston, MA, USA
| | - Denise J van der Mee
- Department of Biological Psychology, Amsterdam Public Health Research Institute, VU University, Amsterdam, The Netherlands
| | - Laura S van Velzen
- Department of Psychiatry, Neuroscience Campus Amsterdam, VU University, Medical Center and GGZ inGeest, Amsterdam, the Netherlands
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Carlos Ventura-Bort
- Department of Biological Psychology and Affective Science, Faculty of Human Sciences, University of Potsdam, Potsdam, Germany
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- MindBrainBody Institute, Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - David R Watson
- Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, University of Sussex, Falmer, UK
| | - Luqing Wei
- Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China
| | - Julia Wendt
- Department of Biological Psychology and Affective Science, Faculty of Human Sciences, University of Potsdam, Potsdam, Germany
| | | | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Mathias Weymar
- Department of Biological Psychology and Affective Science, Faculty of Human Sciences, University of Potsdam, Potsdam, Germany
- Faculty of Health Sciences Brandenburg, University of Potsdam, Potsdam, Germany
| | - Tobias Winkelmann
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Guo-Rong Wu
- Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China
| | - Hyun Joo Yoo
- Emotion and Cognition Lab, University of Southern California, Los Angeles, CA, USA
| | - Daniel S Quintana
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
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25
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Chen Q, Baran TM, Turnbull A, Zhang Z, Rebok GW, Lin FV. Increased segregation of structural brain networks underpins enhanced broad cognitive abilities of cognitive training. Hum Brain Mapp 2021; 42:3202-3215. [PMID: 33955088 PMCID: PMC8193523 DOI: 10.1002/hbm.25428] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 02/26/2021] [Accepted: 03/08/2021] [Indexed: 12/11/2022] Open
Abstract
A major challenge in the cognitive training field is inducing broad, far-transfer training effects. Thus far, little is known about the neural mechanisms underlying broad training effects. Here, we tested a set of competitive hypotheses regarding the role of brain integration versus segregation underlying the broad training effect. We retrospectively analyzed data from a randomized controlled trial comparing neurocognitive effects of vision-based speed of processing training (VSOP) and an active control consisting of mental leisure activities (MLA) in older adults with MCI. We classified a subset of participants in the VSOP as learners, who showed improvement in executive function and episodic memory. The other participants in the VSOP (i.e., VSOP non-learners) and a subset of participants in the MLA (i.e., MLA non-learners) served as controls. Structural brain networks were constructed from diffusion tensor imaging. Clustering coefficients (CCs) and characteristic path lengths were computed as measures of segregation and integration, respectively. Learners showed significantly greater global CCs after intervention than controls. Nodal CCs were selectively enhanced in cingulate cortex, parietal regions, striatum, and thalamus. Among VSOP learners, those with more severe baseline neurodegeneration had greater improvement in segregation after training. Our findings suggest broad training effects are related to enhanced segregation in selective brain networks, providing insight into cognitive training related neuroplasticity.
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Affiliation(s)
- Quanjing Chen
- Elaine C. Hubbard Center for Nursing Research on Aging, School of NursingUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of Psychiatry, School of Medicine and DentistryUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Timothy M. Baran
- Department of Biomedical EngineeringUniversity of RochesterRochesterNew YorkUSA
- Department of Imaging SciencesUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Adam Turnbull
- Elaine C. Hubbard Center for Nursing Research on Aging, School of NursingUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of Imaging SciencesUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Zhengwu Zhang
- Department of Biostatistics and Computational BiologyUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - George W. Rebok
- Department of Mental HealthJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Feng Vankee Lin
- Elaine C. Hubbard Center for Nursing Research on Aging, School of NursingUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of Psychiatry, School of Medicine and DentistryUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of Brain and Cognitive SciencesUniversity of RochesterRochesterNew YorkUSA
- Department of Neuroscience, School of Medicine and DentistryUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of Neurology, School of Medicine and DentistryUniversity of Rochester Medical CenterRochesterNew YorkUSA
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26
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Chen Q, Turnbull A, Baran TM, Lin FV. Longitudinal stability of medial temporal lobe connectivity is associated with tau-related memory decline. eLife 2020; 9:e62114. [PMID: 33382038 PMCID: PMC7803375 DOI: 10.7554/elife.62114] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 12/30/2020] [Indexed: 12/02/2022] Open
Abstract
The relationship between Alzheimer's disease (AD) pathology and cognitive decline is an important topic in the aging research field. Recent studies suggest that memory deficits are more susceptible to phosphorylated tau (Ptau) than amyloid-beta. However, little is known regarding the neurocognitive mechanisms linking Ptau and memory-related decline. Here, we extracted data from Alzheimer's Disease Neuroimaging Initiative (ADNI) participants with cerebrospinal fluid (CSF) Ptau collected at baseline, diffusion tensor imaging measure twice, 2 year apart, and longitudinal memory data over 5 years. We defined three age- and education-matched groups: Ptau negative cognitively unimpaired, Ptau positive cognitively unimpaired, and Ptau positive individuals with mild cognitive impairment. We found the presence of CSF Ptau at baseline was related to a loss of structural stability in medial temporal lobe connectivity in a way that matched proposed disease progression, and this loss of stability in connections known to be important for memory moderated the relationship between Ptau accumulation and memory decline.
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Affiliation(s)
- Quanjing Chen
- Elaine C. Hubbard Center for Nursing Research on Aging, School of Nursing, University of Rochester Medical CenterRochesterUnited States
- Department of Psychiatry, School of Medicine and Dentistry, University of Rochester Medical CenterRochesterUnited States
| | - Adam Turnbull
- Elaine C. Hubbard Center for Nursing Research on Aging, School of Nursing, University of Rochester Medical CenterRochesterUnited States
- Department of Imaging Sciences, School of Medicine and Dentistry, University of Rochester Medical CenterRochesterUnited States
| | - Timothy M Baran
- Department of Imaging Sciences, School of Medicine and Dentistry, University of Rochester Medical CenterRochesterUnited States
- Department of Biomedical Engineering, University of RochesterRochesterUnited States
| | - Feng V Lin
- Elaine C. Hubbard Center for Nursing Research on Aging, School of Nursing, University of Rochester Medical CenterRochesterUnited States
- Department of Psychiatry, School of Medicine and Dentistry, University of Rochester Medical CenterRochesterUnited States
- Department of Neuroscience, School of Medicine and Dentistry, University of Rochester Medical CenterRochesterUnited States
- Department of Neurology, School of Medicine and Dentistry, University of Rochester Medical CenterRochesterUnited States
- Department of Brain and Cognitive Sciences, University of RochesterRochesterUnited States
- School of Medicine, Stanford UniversityStanfordUnited States
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27
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Vrinceanu T, Lagacé-Lavoie G, Kaushal N, Esmail A, Vu TTM, Berryman N, Nigam A, Bherer L. Mind the Rhythm: ECG QT Dispersion and Cognition in Healthy Older Adults. Front Psychol 2020; 11:566341. [PMID: 33117235 PMCID: PMC7561416 DOI: 10.3389/fpsyg.2020.566341] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 09/14/2020] [Indexed: 12/19/2022] Open
Abstract
Background Autonomic function has been linked to cognitive abilities in aging. Even in non-clinical states, a certain variability in heart rhythm regulation can be measured with QT dispersion (QTcD), an ECG marker of ventricular repolarization which has been linked to autonomic function and cardiovascular health. QTcD has been shown to be higher in individuals with mild cognitive impairment, and the highest in individuals with Alzheimer’s disease. The goal of this study was to see if QTcD is associated with cognitive performance in healthy individuals. Methods Sixty-three healthy inactive older adults (> 60 years) completed an extensive cognitive assessment (including inhibition, divided attention, updating, working memory, and processing speed), a physical fitness assessment, and underwent a resting ECG. Results After controlling for age, sex, and education, QTcD significantly predicted global cognition (MoCA) scores (R2 = 0.17, F(4.58) = 3.00, p < 0.03, β = −0.36). Exploratory analysis on the MoCA subcomponents revealed a significant association between the visual/executive subcomponent and QTcD (R2 = 0.12, F(1.61) = 7.99, p < 0.01, β = −0.34). In individuals with high QTcD, QTcD values were linked to executive functions (R2 = 0.37), processing speed (R2 = 0.34), and dual-task performances (R2 = 0.47). No significant associations were found within the low QTcD group. Conclusion This study shows an association between ventricular repolarization (QTcD) and cognitive performance, in particular speed and executive functions, in healthy older adults. The results provide further support for linking autonomic heart regulation and age-related cognitive changes, and suggest that deviations on ECG, even within-normal range, could help detect early cognitive deficits.
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Affiliation(s)
- Tudor Vrinceanu
- Department of Medicine, Université de Montréal, Montreal, QC, Canada.,Research Centre, Montreal Heart Institute, Montreal, QC, Canada.,Research Centre, Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada
| | | | - Navin Kaushal
- Department of Health Sciences, School of Health & Human Sciences, Indiana University, Indianapolis, IN, United States
| | - Alida Esmail
- École de Réadaptation, Faculté de Médecine, Université de Montréal, Montreal, QC, Canada
| | - T T Minh Vu
- Department of Medicine, Université de Montréal, Montreal, QC, Canada.,Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.,Centre de Recherché du CHUM, Montreal, QC, Canada
| | - Nicolas Berryman
- Research Centre, Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada.,Département des Sciences de l'Activité Physique, Université du Québec à Montréal, Montreal, QC, Canada
| | - Anil Nigam
- Department of Medicine, Université de Montréal, Montreal, QC, Canada.,Research Centre, Montreal Heart Institute, Montreal, QC, Canada
| | - Louis Bherer
- Department of Medicine, Université de Montréal, Montreal, QC, Canada.,Research Centre, Montreal Heart Institute, Montreal, QC, Canada.,Research Centre, Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada
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Chen Q, Yang H, Rooks B, Anthony M, Zhang Z, Tadin D, Heffner KL, Lin FV. Autonomic flexibility reflects learning and associated neuroplasticity in old age. Hum Brain Mapp 2020; 41:3608-3619. [PMID: 32510759 PMCID: PMC7416041 DOI: 10.1002/hbm.25034] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 04/07/2020] [Accepted: 04/27/2020] [Indexed: 12/16/2022] Open
Abstract
Effective learning in old age, particularly in those at risk for dementia, is essential for prolonging independent living. Individual variability in learning, however, is remarkable; that is, months of cognitive training to improve learning may be beneficial for some individuals but not others. So far, little is known about which neurophysiological mechanisms account for the observed variability in learning induced by cognitive training in older adults. By combining Lövdén et al.'s (2010, A theoretical framework for the study of adult cognitive plasticity. Psychological Bulletin, 136, 659-676) framework proposing the role of adaptation capacity in neuroplasticity and a neurovisceral integration model of the relationship between autonomic nervous system (ANS) and brain with a novel shapelet analytical approach that allows for accurate and interpretable analysis of time series data, we discovered an acute, ECG-derived ANS segment in response to cognitive training tasks at baseline that predicted learning outcomes from a 6-week cognitive training intervention. The relationship between the ANS segment and learning was robust in both cross-participant and cross-task analyses among a group of older adults with amnestic mild cognitive impairment. Furthermore, the revealed ANS shapelet significantly predicted training-induced neuroplasticity in the dorsal anterior cingulate cortex and select frontal regions during task fMRI. Across outcome measures, individuals were less likely to prospectively benefit from the cognitive training if their ECG data were more similar to this particular ANS segment at baseline. Our findings are among the first empirical evidence to confirm that adaptation capacity, indexed by ANS flexibility, predicts individual differences in learning and associated neuroplasticity beyond individual characteristics (e.g., age, education, neurodegeneration, total training).
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Affiliation(s)
- Quanjing Chen
- Elaine C. Hubbard Center for Nursing Research on Aging, School of NursingUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of Psychiatry, School of Medicine and DentistryUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Haichuan Yang
- Department of Computer ScienceUniversity of RochesterRochesterNew YorkUSA
| | - Brian Rooks
- Elaine C. Hubbard Center for Nursing Research on Aging, School of NursingUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of Biostatistics and Computational BiologyUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Mia Anthony
- Elaine C. Hubbard Center for Nursing Research on Aging, School of NursingUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of Brain and Cognitive SciencesUniversity of RochesterRochesterNew YorkUSA
| | - Zhengwu Zhang
- Department of Biostatistics and Computational BiologyUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of Neuroscience, School of Medicine and DentistryUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Duje Tadin
- Department of Brain and Cognitive SciencesUniversity of RochesterRochesterNew YorkUSA
- Department of Neuroscience, School of Medicine and DentistryUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Kathi L. Heffner
- Elaine C. Hubbard Center for Nursing Research on Aging, School of NursingUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of Psychiatry, School of Medicine and DentistryUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Feng V. Lin
- Elaine C. Hubbard Center for Nursing Research on Aging, School of NursingUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of Psychiatry, School of Medicine and DentistryUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of Brain and Cognitive SciencesUniversity of RochesterRochesterNew YorkUSA
- Department of Neuroscience, School of Medicine and DentistryUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of Neurology, School of Medicine and DentistryUniversity of Rochester Medical CenterRochesterNew YorkUSA
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Chen PC, Whitehurst LN, Naji M, Mednick SC. Autonomic/central coupling benefits working memory in healthy young adults. Neurobiol Learn Mem 2020; 173:107267. [PMID: 32535198 DOI: 10.1016/j.nlm.2020.107267] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 05/13/2020] [Accepted: 06/08/2020] [Indexed: 02/01/2023]
Abstract
Working memory (WM) is an executive function that can improve with training. However, the precise mechanism for this improvement is not known. Studies have shown greater WM gains after a period of sleep than a similar period of wake, and correlations between WM improvement and slow wave activity (SWA; 0.5-1 Hz) during slow wave sleep (SWS). A different body of literature has suggested an important role for autonomic activity during wake for WM. A recent study from our group reported that the temporal coupling of Autonomic/CentralEvents (ACEs) during sleep was associated with memory consolidation. We found that heart rate bursts (HR bursts) during non-rapid eye movement (NREM) sleep are accompanied by increases in SWA and sigma (12-15 Hz) power, as well as increases in the high-frequency (HF) component of the RR interval, reflecting vagal rebound. In addition, ACEs predict long-term, episodic memory improvement. Building on these previous results, we examined whether ACEs also contribute to gains in WM. We tested 104 young adults in an operation span task (OSPAN) in the morning and evening, with either a nap (n = 53; with electroencephalography (EEG) and electrocardiography (ECG)) or wake (n = 51) between testing sessions. We identified HR bursts in the ECG and replicated the increases in SWA and sigma prior to peak of the HR burst, as well as vagal rebound after the peak. Furthermore, we showed sleep-dependent WM improvement, which was predicted by ACE activity. Using regression analyses, we discovered that significantly more variance in WM improvement could be explained with ACE variables than with overall sleep activity not time-locked with ECG. These results provide the first evidence that coordinated autonomic and central events play a significant role in sleep-related WM improvement and implicate the potential of autonomic interventions during sleep for cognitive enhancement.
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Affiliation(s)
- Pin-Chun Chen
- Department of Cognitive Science, University of California, Irvine USA
| | | | - Mohsen Naji
- Department of Medicine, University of California, San Diego, CA, USA
| | - Sara C Mednick
- Department of Cognitive Science, University of California, Irvine USA.
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Lin FV, Tao Y, Chen Q, Anthony M, Zhang Z, Tadin D, Heffner KL. Processing speed and attention training modifies autonomic flexibility: A mechanistic intervention study. Neuroimage 2020; 213:116730. [PMID: 32165263 PMCID: PMC7165056 DOI: 10.1016/j.neuroimage.2020.116730] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 02/26/2020] [Accepted: 03/08/2020] [Indexed: 12/30/2022] Open
Abstract
Adaptation capacity is critical for maintaining cognition, yet it is understudied in groups at risk for dementia. Autonomic nervous system (ANS) is critical for neurovisceral integration and is a key contributor to adaptation capacity. To determine the central nervous system's top-down regulation of ANS, we conducted a mechanistic randomized controlled trial study, using a 6-week processing speed and attention (PS/A)-targeted intervention. Eighty-four older adults with amnestic mild cognitive impairment (aMCI) were randomized to a 6-week PS/A-targeted intervention or an active control without PS/A. Utilizing repeated measures (i.e., PS/A test different from the intervention, resting and cognitive task-based ECG, and resting fMRI) at baseline, immediately post-intervention (post-test), and 6-month follow-up, we aimed to test whether PS/A causally influences vagal control of ANS via their shared central neural pathways in aMCI. We indexed vagal control of ANS using high-frequency heart rate variability (HF-HRV) extracted from ECG data. Functional brain connectivity patterns were extracted from fMRI using advanced statistical tools. Compared to the control group, the intervention group showed significant improvement in PS/A, HF-HRV, salience network (SN), central executive network (CEN), and frontal parietal network (FPN) connectivity at post-test; the effect on SN, CEN, and FPN remained at 6-month follow-up. Changes in PS/A and SN connectivity significantly predicted change in HF-HRV from baseline to post-test and/or 6-month-follow-up. Age, neurodegeneration, nor sex did not affect these relationships. This work provides novel support for top-down regulation of PS/A and associated SN on vagal control of ANS. Intervening PS/A may be a viable approach for promoting adaptation capacity in groups at risk for dementia.
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Affiliation(s)
- Feng V Lin
- Elaine C. Hubbard Center for Nursing Research on Aging, School of Nursing, University of Rochester Medical Center, USA; Department of Psychiatry, School of Medicine and Dentistry, University of Rochester Medical Center, USA; Department of Brain and Cognitive Sciences, University of Rochester, USA; Department of Neuroscience, School of Medicine and Dentistry, University of Rochester Medical Center, USA; Department of Neurology, School of Medicine and Dentistry, University of Rochester Medical Center, USA.
| | - Ye Tao
- Department of Electrical and Computational Engineering, University of Rochester, USA
| | - Quanjing Chen
- Elaine C. Hubbard Center for Nursing Research on Aging, School of Nursing, University of Rochester Medical Center, USA; Department of Psychiatry, School of Medicine and Dentistry, University of Rochester Medical Center, USA
| | - Mia Anthony
- Department of Brain and Cognitive Sciences, University of Rochester, USA
| | - Zhengwu Zhang
- Department of Biostatics and Computational Biology, School of Medicine and Dentistry, University of Rochester Medical Center, USA
| | - Duje Tadin
- Department of Brain and Cognitive Sciences, University of Rochester, USA; Department of Neuroscience, School of Medicine and Dentistry, University of Rochester Medical Center, USA
| | - Kathi L Heffner
- Elaine C. Hubbard Center for Nursing Research on Aging, School of Nursing, University of Rochester Medical Center, USA; Department of Psychiatry, School of Medicine and Dentistry, University of Rochester Medical Center, USA; Division of Geriatrics & Aging, Department of Medicine, School of Medicine and Dentistry, University of Rochester Medical Center, USA
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Engagement in Lifestyle Activities is Associated with Increased Alzheimer's Disease-Associated Cortical Thickness and Cognitive Performance in Older Adults. J Clin Med 2020; 9:jcm9051424. [PMID: 32403426 PMCID: PMC7290499 DOI: 10.3390/jcm9051424] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 04/30/2020] [Accepted: 05/05/2020] [Indexed: 02/07/2023] Open
Abstract
The aim of this study was to examine the association between lifestyle activities, including physical, cognitive, and social activities, and Alzheimer’s disease (AD) signature cortical thickness, as well as to examine the mediating role of AD signature cortical thickness in lifestyle activities and cognitive function in community-dwelling healthy older adults. Participants were 1026 older adults who met the study inclusion criteria. The physical, cognitive, and social activities of daily life were assessed using a self-reporting questionnaire. AD signature cortical thickness was determined using FreeSurfer software. Cognitive function was evaluated using the National Center for Geriatrics and Gerontology-Functional Assessment Tool. Path analysis (based on structural equation modeling (SEM)) of cognitive activities indicated that the direct path from cognitive activities to cognitive function was significant (p < 0.001), as was the direct path from AD signature cortical thickness to cognitive function (p < 0.001). Physical (p < 0.05) or social activities (p < 0.05) had a direct effect on cognitive function. However, AD signature cortical thickness did not mediate the relationship between physical or social activities and cognitive function. Our findings suggest that higher levels of cognitive activities later in life have a significant and positive direct effect on cognitive function. Additionally, AD signature cortical thickness significantly mediates the relationship between cognitive activities and cognitive function.
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Wang X, Heffner KL, Anthony M, Lin F. Stress adaptation in older adults with and without cognitive impairment: an fMRI pattern-based similarity analysis. Aging (Albany NY) 2019; 11:6792-6804. [PMID: 31480017 PMCID: PMC6756885 DOI: 10.18632/aging.102204] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 08/12/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND The capacity to adapt to environmental stressors is essential for older adults' health and well-being. It is unclear how cognitive impairment may disrupt the capacity. Here we examined the relationship between self-perceptions of stress and the neurobiological response to a laboratory model of stress adaptation in amnestic mild cognitive impairment (aMCI), a group at high risk for dementia. RESULTS aMCI group and cognitively healthy controls did not differ in neurobiological acute stress recovery (indexed by similarity in neural patterns at baseline and after recovery from cognitive challenges). However, compared to controls, aMCI group had significantly lower scores on PSS-PW. Notably, higher PSS-PW was associated with greater acute neural recovery in controls, but not aMCI. METHODS We assessed self-perceptions of stress adaptation with the Perceived Stress Scale subscales, measuring perceived helplessness (i.e., negatively worded items, PSS-NW) and self-efficacy (i.e., positively worded items, PSS-PW) in response to stress. At a subsequent laboratory fMRI visit, we indexed neurobiological stress adaptation by assessing and comparing functional network connectivity at baseline and immediately following, and after recovery from, cognitive challenges. CONCLUSIONS Studying stress adaptation in aMCI may shed light on pathways that contribute to the onset and progress of cognitive deterioration in aging.
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Affiliation(s)
- Xixi Wang
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14642, USA
| | - Kathi L Heffner
- School of Nursing, University of Rochester, Rochester, NY 14642, USA.,Department of Medicine, Division of Geriatrics and Aging, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Mia Anthony
- School of Nursing, University of Rochester, Rochester, NY 14642, USA
| | - Feng Lin
- School of Nursing, University of Rochester, Rochester, NY 14642, USA.,Department of Psychiatry, University of Rochester Medical Center, Rochester, NY 14642, USA.,Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14642, USA.,Department of Neuroscience, University of Rochester Medical Center, Rochester, NY 14642, USA.,Department of Neurology, University of Rochester Medical Center, Rochester, NY 14642, USA
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McDermott K, Ren P, Lin F. The mediating role of hippocampal networks on stress regulation in amnestic mild cognitive impairment. Neurobiol Stress 2019; 10:100162. [PMID: 31193516 PMCID: PMC6535625 DOI: 10.1016/j.ynstr.2019.100162] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 01/18/2019] [Accepted: 04/03/2019] [Indexed: 12/27/2022] Open
Abstract
Objectives To examine the role of the hippocampus in stress regulation in older adults with amnestic mild cognitive impairment (aMCI). Methods This study combined resting-state functional MRI, structural MRI, self-reported chronic stress exposure, and an electrocardiography-based acute stress protocol to compare aMCI group (n = 17) to their cognitively healthy counterparts (HC, n = 22). Results For the entire sample, there was a positive correlation between chronic stress exposure and acute stress regulation. The aMCI group showed significantly smaller volumes in the right hippocampus than HC. The two groups did not differ in chronic stress exposure or acute stress regulation. In the HC group, the left hippocampal connectivity with inferior parietal lobe was significantly correlated with both the chronic stress and acute stress. In the aMCI group, the left hippocampal connectivity with both the right insula and the left precentral gyrus was significantly correlated to chronic stress exposure and acute stress regulation. Additionally, the left hippocampal connectivity with right insula significantly mediated the relationship between chronic stress exposure and acute stress regulation in aMCI group. Conclusions Extra hippocampal networks may be recruited as compensation to attend the maintenance of relatively normal stress regulation in aMCI by alleviating the detrimental effects of chronic stress exposure on acute stress regulation.
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Key Words
- AD, Alzheimer's Disease
- ANS, Autonomic Nervous System
- Acute stress regulation
- Chronic stress exposure
- FC, functional connectivity
- GDS, Geriatric Depression Scale
- GLM, General Linear Model
- HC, healthy control
- HF-HRV, high frequency heart rate variability
- HPA, Hypothalamic Pituitary Adrenal
- Hippocampus
- LHIP, left hippocampus
- LIPL, left inferior parietal lobe
- LPG, left precentral gyrus
- MOCA, Montreal Cognitive Assessment
- Mild cognitive impairment
- PSS, Perceived stress scale
- RAVLT, Rey's Auditory Verbal Learning Test
- RHIP, right hippocampus
- Resting-state functional connectivity
- Rinsula, right insula
- aMCI, amnestic Mild Cognitive Impairment
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Affiliation(s)
- Kelsey McDermott
- School of Nursing, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Ping Ren
- School of Nursing, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Feng Lin
- School of Nursing, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Neuroscience, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Brain and Cognitive Science, University of Rochester, Rochester, NY, 14627, USA
- Corresponding author. 601 Elmwood Ave, Rochester, NY, 14642
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