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Harrison TM, Chadwick T, Pezzoli S, Lee J, Landau SM, Jagust WJ. Cognitive Trajectories and Alzheimer Disease Biomarkers: From Successful Cognitive Aging to Clinical Impairment. Ann Neurol 2024; 96:378-389. [PMID: 38747315 PMCID: PMC11236492 DOI: 10.1002/ana.26964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 04/26/2024] [Accepted: 04/29/2024] [Indexed: 07/11/2024]
Abstract
OBJECTIVE Cross-sectional definitions of successful cognitive aging have been widely utilized, but longitudinal measurements can identify people who do not decline. We performed this study to contrast maintenance with declining trajectories, including clinical conversion. METHODS We included baseline cognitively unimpaired Alzheimer's Disease Neuroimaging Initiative participants with 3 or more cognitive testing sessions (n = 539, follow-up 6.1 ± 3.5 years) and calculated slopes of an episodic memory composite (MEM) to classify them into two groups: maintainers (slope ≥ 0) and decliners (slope < 0). Within decliners, we examined a subgroup of individuals who became clinically impaired during follow-up. These groups were compared on baseline characteristics and cognitive performance, as well as both cross-sectional and longitudinal Alzheimer disease (AD) biomarker measures (beta-amyloid [Aβ], tau, and hippocampal volume). RESULTS Forty-one percent (n = 221) of the cohort were MEM maintainers, and 33% (n = 105) of decliners converted to clinical impairment during follow-up. Compared to those with superior baseline scores, maintainers had lower education and were more likely to be male. Maintainers and decliners did not differ on baseline MEM scores, but maintainers did have higher non-MEM cognitive scores. Maintainers had lower baseline global Aβ, lower tau pathology, and larger hippocampal volumes than decliners, even after removing converters. There were no differences in rates of change of any AD biomarkers between any cognitive trajectory groups except for a higher rate of hippocampal atrophy in clinical converters compared to maintainers. INTERPRETATION Using longitudinal data to define cognitive trajectory groups reduces education and sex bias and reveals the prognostic importance of early onset of accumulation of AD pathology. ANN NEUROL 2024;96:378-389.
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Affiliation(s)
- Theresa M Harrison
- Neuroscience Department, University of California, Berkeley, Berkeley, CA, USA
| | - Trevor Chadwick
- Neuroscience Department, University of California, Berkeley, Berkeley, CA, USA
| | - Stefania Pezzoli
- Neuroscience Department, University of California, Berkeley, Berkeley, CA, USA
- Molecular Biophysics and Integrated Bioimaging Department, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - JiaQie Lee
- Neuroscience Department, University of California, Berkeley, Berkeley, CA, USA
| | - Susan M Landau
- Neuroscience Department, University of California, Berkeley, Berkeley, CA, USA
| | - William J Jagust
- Neuroscience Department, University of California, Berkeley, Berkeley, CA, USA
- Molecular Biophysics and Integrated Bioimaging Department, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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Dominguez EN, Corrada MM, Kawas CH, Stark CEL. Resilience to AD pathology in Top Cognitive Performers. Front Aging Neurosci 2024; 16:1428695. [PMID: 39055052 PMCID: PMC11270559 DOI: 10.3389/fnagi.2024.1428695] [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: 05/06/2024] [Accepted: 06/25/2024] [Indexed: 07/27/2024] Open
Abstract
Successful cognitive aging is often thought to result from resistance to the accumulation of pathology, resilience to the effects of pathological accumulation, or some combination of the two. While evidence for resilience has been found in typical aging populations, the oldest-old provide us with a unique window into the role of pathological accumulation in impacting cognition. Here, we aimed to assess group differences in measures of amyloid and tau across older age groups using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI age: 60-89) and The 90+ Study (age: 90-101). Additionally, using the ADNI dataset, we performed exploratory analyses of regional cingulate AV-45 SUVRs to assess if amyloid load in particular areas was associated with Top Cognitive Performance (TCP). Consistent with the literature, results showed no group differences in amyloid SUVRs both regionally and in the whole cortex. For tau with AV-1451, we also observed no differences in Braak composite SUVRs. Interestingly, these relationships persisted in the oldest-old. This indicates that Top Cognitive Performance throughout aging does not reflect resistance to amyloid and tau burden, but that other mechanisms may be associated with protection against amyloid and tau related neurodegeneration.
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Affiliation(s)
- Elena Nicole Dominguez
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States
| | - María M. Corrada
- Department of Neurology, University of California, Irvine, Irvine, CA, United States
- Department of Epidemiology, University of California, Irvine, Irvine, CA, United States
| | - Claudia H. Kawas
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States
- Department of Neurology, University of California, Irvine, Irvine, CA, United States
| | - Craig E. L. Stark
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States
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Prince JB, Davis HL, Tan J, Muller-Townsend K, Markovic S, Lewis DMG, Hastie B, Thompson MB, Drummond PD, Fujiyama H, Sohrabi HR. Cognitive and neuroscientific perspectives of healthy ageing. Neurosci Biobehav Rev 2024; 161:105649. [PMID: 38579902 DOI: 10.1016/j.neubiorev.2024.105649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 03/17/2024] [Accepted: 03/30/2024] [Indexed: 04/07/2024]
Abstract
With dementia incidence projected to escalate significantly within the next 25 years, the United Nations declared 2021-2030 the Decade of Healthy Ageing, emphasising cognition as a crucial element. As a leading discipline in cognition and ageing research, psychology is well-equipped to offer insights for translational research, clinical practice, and policy-making. In this comprehensive review, we discuss the current state of knowledge on age-related changes in cognition and psychological health. We discuss cognitive changes during ageing, including (a) heterogeneity in the rate, trajectory, and characteristics of decline experienced by older adults, (b) the role of cognitive reserve in age-related cognitive decline, and (c) the potential for cognitive training to slow this decline. We also examine ageing and cognition through multiple theoretical perspectives. We highlight critical unresolved issues, such as the disparate implications of subjective versus objective measures of cognitive decline and the insufficient evaluation of cognitive training programs. We suggest future research directions, and emphasise interdisciplinary collaboration to create a more comprehensive understanding of the factors that modulate cognitive ageing.
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Affiliation(s)
- Jon B Prince
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia.
| | - Helen L Davis
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia
| | - Jane Tan
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia
| | - Katrina Muller-Townsend
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia
| | - Shaun Markovic
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia; Discipline of Psychology, Counselling and Criminology, Edith Cowan University, WA, Australia
| | - David M G Lewis
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia
| | | | - Matthew B Thompson
- School of Psychology, Murdoch University, WA, Australia; Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, WA, Australia
| | - Peter D Drummond
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia
| | - Hakuei Fujiyama
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia; Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, WA, Australia
| | - Hamid R Sohrabi
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia; School of Medical and Health Sciences, Edith Cowan University, WA, Australia; Department of Biomedical Sciences, Macquarie University, NSW, Australia.
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Doyle C, Andel R, Saenz J, Crowe M. Correlates of SuperAging in Two Population-Based Samples of Hispanic Older Adults. J Gerontol B Psychol Sci Soc Sci 2024; 79:gbae058. [PMID: 38581241 PMCID: PMC11075730 DOI: 10.1093/geronb/gbae058] [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: 08/15/2023] [Indexed: 04/08/2024] Open
Abstract
OBJECTIVES "SuperAgers" are generally defined as people 80+ years old with episodic memory performance comparable to those 20 years younger. Limited knowledge exists to describe characteristics of SuperAgers, with even less known about Hispanic SuperAgers. METHODS We examined indicators of cognitive, physical, and psychological resilience in relation to the likelihood of being a SuperAger using data from 2 population-based studies of Hispanic older adults (Puerto Rican Elderly: Health Conditions [PREHCO] Study; Health and Retirement Study [HRS]). SuperAgers were defined as (1) ≥80 years old, (2) recall scores ≥ the median for Hispanic respondents aged 55-64, and (3) no cognitive impairment during the observation period. Overall, 640 PREHCO participants and 180 HRS participants were eligible, of whom 45 (7%) and 31 (17%) met SuperAging criteria. RESULTS Logistic regressions controlling for age and sex demonstrated that higher education (PREHCO: odds ratio [OR] = 1.20, p < .001; HRS: OR = 1.14, p = .044) and fewer instrumental activities of daily living limitations (PREHCO: OR = 0.79, p = .019; HRS: OR = 0.58, p = .077; cognitive resilience), fewer activities of daily living limitations (PREHCO: OR = 0.72, p = .031; HRS: OR = 0.67, p = .068; physical resilience), and fewer depressive symptoms (PREHCO: OR = 0.84, p = .015; HRS: OR = 0.69, p = .007; psychological resilience) were associated with SuperAging, although not all results reached threshold for statistical significance, presumably due to low statistical power. Additionally, known indicators of physical health (e.g., chronic conditions and self-rated health) did not relate to SuperAging. DISCUSSION Increasing access to education and recognizing/treating depressive symptoms represent potential pathways to preserve episodic memory among older Hispanic adults.
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Affiliation(s)
- Cassidy Doyle
- School of Aging Studies, University of South Florida, Tampa, Florida, USA
| | - Ross Andel
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Joseph Saenz
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA
| | - Michael Crowe
- Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama, USA
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Lin CY, Li F, An HH, Zhai YJ, Li JB, Qiu HN, Wu F, Chen T, Lin JN. The impact of dietary acid load on super-agers with exceptional cognitive abilities: a propensity score analysis of national health and nutrition examination survey (NHANES) 2011-2014. J Nutr Health Aging 2024; 28:100238. [PMID: 38663039 DOI: 10.1016/j.jnha.2024.100238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 03/21/2024] [Accepted: 04/12/2024] [Indexed: 06/16/2024]
Abstract
OBJECTIVES 'Super-agers,' individuals over 80 with memory abilities comparable to those 20-30 years younger. The relationship between super-agers and dietary acid load (DAL) is an area that warrants further investigation. We aim to examine the link between DAL and super-agers and assess DAL's effects on cognitive functions across different age groups and cognitive domains. DESIGN Employing a cross-sectional analysis of the 2011-2014 National Health and Nutrition Examination Survey (NHANES) data, we utilized propensity score analysis and multivariate-adjusted regression to mitigate confounding factors. SETTING Older adults aged 60 and above in the United States. PARTICIPANTS Our primary analysis encompassed 985 older adults, supplemented by a sensitivity analysis with 2,522 participants. MEASUREMENTS DAL was assessed through potential renal acid load (PRAL), estimated net acid excretion (NAEes), and net endogenous acid production (NEAP) indices. RESULTS Super-agers demonstrate a preference for alkaline diets, shown by their lower DAL indices. After inverse probability of treatment weighting (IPTW), multivariate-adjusted logistic regression reveals that each unit reduction in NAEes and PRAL increases the chances of being a super-ager by 3.9% and 3.0%, respectively. The DAL's impact on cognitive function becomes more pronounced with age. Lower PRAL and NAEes scores are significantly linked to higher situational memory and overall cognitive performance scores in those over 70, with these effects being even more pronounced in participants over 80. CONCLUSION This research pioneers in demonstrating that super-agers prefer an alkaline diet, highlighting the potential role of alkaline diet in countering cognitive decline associated with aging.
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Affiliation(s)
- Chen-Ying Lin
- Tianjin Union Medical Center, Tianjin Medical University, Tianjin 300121, China
| | - Fang Li
- Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin 300121, China
| | - Hao-Hua An
- Department of Clinical Laboratory, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin 300121, China
| | - Ya-Jie Zhai
- School of Medicine, Nankai University, Tianjin, China
| | - Jing-Bo Li
- Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin 300121, China
| | - Hui-Na Qiu
- Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin 300121, China
| | - Fan Wu
- Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin 300121, China
| | - Tong Chen
- School of Medicine, Nankai University, Tianjin, China
| | - Jing-Na Lin
- Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin 300121, China.
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Shaffer C, Andreano JM, Touroutoglou A, Barrett LF, Dickerson BC, Wong B. Semantic Clustering during Verbal Episodic Memory Encoding and Retrieval in Older Adults: One Cognitive Mechanism of Superaging. Brain Sci 2024; 14:171. [PMID: 38391745 PMCID: PMC10886668 DOI: 10.3390/brainsci14020171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 01/28/2024] [Accepted: 02/05/2024] [Indexed: 02/24/2024] Open
Abstract
Normal aging is commonly accompanied by a decline in cognitive abilities, including memory, yet some individuals maintain these abilities as they get older. We hypothesize that semantic clustering, as an effective strategy for improving performance on episodic recall tasks, may contribute to the maintenance of youthful memory in older adults. We investigated the dynamics of spontaneous production and utilization of the semantic clustering strategy in two independent samples of older adults who completed a list learning paradigm (N1 = 40 and N2 = 29, respectively). Specifically, we predicted and observed that older adults who spontaneously used a semantic clustering strategy throughout the encoding process learned more words by the culmination of the encoding trials (Sample 1, R2= 0.53, p < 0.001; Sample 2, R2= 0.51, p < 0.001), and that those who utilized this strategy during retrieval recalled more words, when compared to older adults who did not produce or utilize a semantic clustering strategy during both a short (Sample 1, R2 = 0.81, p < 0.001; Sample 2, R2 = 0.70, p < 0.001) and long delay retrieval (Sample 1, R2 = 0.83, p < 0.001; Sample 2, R2 = 0.77, p < 0.001). We further predicted and observed that older adults who maintained a youthful level of delayed free recall (i.e., "Superagers") produced (Sample 1, F(1, 38) = 17.81, p < 0.0001; Sample 2, F(1, 27) = 14.45, p < 0.0001) and utilized (Sample 1, F(1, 39) = 25.84, p < 0.0001; Sample 2, F(1, 27) = 12.97, p < 0.01) more semantic clustering than did older individuals with normal memory for their age. These results suggest one cognitive mechanism through which Superagers maintain youthful memory function and raise the possibility that older adults may be able to train themselves to use strategies to promote better memory.
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Affiliation(s)
- Clare Shaffer
- Department of Psychology, College of Science, Northeastern University, Boston, MA 02115, USA
| | - Joseph M Andreano
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA
| | - Alexandra Touroutoglou
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA
- Alzheimer's Disease Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Lisa Feldman Barrett
- Department of Psychology, College of Science, Northeastern University, Boston, MA 02115, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Bradford C Dickerson
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA
- Alzheimer's Disease Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Bonnie Wong
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA
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Pezzoli S, Giorgio J, Martersteck A, Dobyns L, Harrison TM, Jagust WJ. Successful cognitive aging is associated with thicker anterior cingulate cortex and lower tau deposition compared to typical aging. Alzheimers Dement 2024; 20:341-355. [PMID: 37614157 PMCID: PMC10916939 DOI: 10.1002/alz.13438] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 06/30/2023] [Accepted: 08/01/2023] [Indexed: 08/25/2023]
Abstract
INTRODUCTION There is no consensus on either the definition of successful cognitive aging (SA) or the underlying neural mechanisms. METHODS We examined the agreement between new and existing definitions using: (1) a novel measure, the cognitive age gap (SA-CAG, cognitive-predicted age minus chronological age), (2) composite scores for episodic memory (SA-EM), (3) non-memory cognition (SA-NM), and (4) the California Verbal Learning Test (SA-CVLT). RESULTS Fair to moderate strength of agreement was found between the four definitions. Most SA groups showed greater cortical thickness compared to typical aging (TA), especially in the anterior cingulate and midcingulate cortices and medial temporal lobes. Greater hippocampal volume was found in all SA groups except SA-NM. Lower entorhinal 18 F-Flortaucipir (FTP) uptake was found in all SA groups. DISCUSSION These findings suggest that a feature of SA, regardless of its exact definition, is resistance to tau pathology and preserved cortical integrity, especially in the anterior cingulate and midcingulate cortices. HIGHLIGHTS Different approaches have been used to define successful cognitive aging (SA). Regardless of definition, different SA groups have similar brain features. SA individuals have greater anterior cingulate thickness and hippocampal volume. Lower entorhinal tau deposition, but not amyloid beta is related to SA. A combination of cortical integrity and resistance to tau may be features of SA.
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Affiliation(s)
- Stefania Pezzoli
- Helen Wills Neuroscience InstituteUniversity of CaliforniaBerkeleyCaliforniaUSA
- Lawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA
| | - Joseph Giorgio
- Helen Wills Neuroscience InstituteUniversity of CaliforniaBerkeleyCaliforniaUSA
- University of NewcastleNewcastleNSWAustralia
| | - Adam Martersteck
- Helen Wills Neuroscience InstituteUniversity of CaliforniaBerkeleyCaliforniaUSA
| | - Lindsey Dobyns
- Helen Wills Neuroscience InstituteUniversity of CaliforniaBerkeleyCaliforniaUSA
| | - Theresa M. Harrison
- Helen Wills Neuroscience InstituteUniversity of CaliforniaBerkeleyCaliforniaUSA
| | - William J. Jagust
- Helen Wills Neuroscience InstituteUniversity of CaliforniaBerkeleyCaliforniaUSA
- Lawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA
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Powell A, Page ZA, Close JCT, Sachdev PS, Brodaty H. Defining exceptional cognition in older adults: A systematic review of cognitive super-ageing. Int J Geriatr Psychiatry 2023; 38:e6034. [PMID: 38078669 PMCID: PMC10947516 DOI: 10.1002/gps.6034] [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] [Received: 08/08/2023] [Accepted: 11/18/2023] [Indexed: 12/18/2023]
Abstract
OBJECTIVE A consistent approach to defining cognitive super-ageing is needed to increase the value of research insights that may be gained from studying this population including ageing well and preventing and treating neurodegenerative conditions. This review aims to evaluate the existing definitions of 'super-ageing' with a focus on cognition. METHODS A systematic literature search was conducted across PubMed, Embase, Web of Science, Scopus, PsycINFO and Google Scholar from inception to 24 July 2023. RESULTS Of 44 English language studies that defined super-ageing from a cognitive perspective in older adults (60-97 years), most (n = 33) were based on preserved verbal episodic memory performance comparable to that of younger adult in age range 16-65 years. Eleven studies defined super-agers as the top cognitive performers for their age group based upon standard deviations or percentiles above the population mean. Only nine studies included longitudinal cognitive performance in their definitions. CONCLUSIONS Equivalent cognitive abilities to younger adults, exceptional cognition for age and a lack of cognitive deterioration over time are all meaningful constructs and may provide different insights into cognitive ageing. Using these criteria in combination or individually to define super-agers, with a clear rationale for which elements have been selected, could be fit for purpose depending on the research question. However, major discrepancies including the age range of super-agers and comparator groups and the choice of cognitive domains assessed should be addressed to reach some consensus in the field.
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Affiliation(s)
- Alice Powell
- Centre for Healthy Brain AgeingDiscipline of Psychiatry and Mental HealthSchool of Clinical MedicineUniversity of New South WalesRandwickNew South WalesAustralia
| | - Zara A. Page
- Centre for Healthy Brain AgeingDiscipline of Psychiatry and Mental HealthSchool of Clinical MedicineUniversity of New South WalesRandwickNew South WalesAustralia
| | - Jacqueline C. T. Close
- Neuroscience Research AustraliaUniversity of New South WalesSydneyNew South WalesAustralia
- The Prince of Wales Hospital Clinical SchoolUniversity of New South WalesSydneyNew South WalesAustralia
| | - Perminder S. Sachdev
- Centre for Healthy Brain AgeingDiscipline of Psychiatry and Mental HealthSchool of Clinical MedicineUniversity of New South WalesRandwickNew South WalesAustralia
- Neuropsychiatric InstituteThe Prince of Wales Hospital Clinical SchoolUniversity of New South WalesSydneyNew South WalesAustralia
| | - Henry Brodaty
- Centre for Healthy Brain AgeingDiscipline of Psychiatry and Mental HealthSchool of Clinical MedicineUniversity of New South WalesRandwickNew South WalesAustralia
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Powell A, Lam BCP, Foxe D, Close JCT, Sachdev PS, Brodaty H. Frequency of cognitive "super-aging" in three Australian samples using different diagnostic criteria. Int Psychogeriatr 2023:1-17. [PMID: 37997622 DOI: 10.1017/s1041610223000935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2023]
Abstract
OBJECTIVES To investigate the frequency of exceptional cognition (cognitive super-aging) in Australian older adults using different published definitions, agreement between definitions, and the relationship of super-aging status with function, brain imaging markers, and incident dementia. DESIGN Three longitudinal cohort studies. SETTING Participants recruited from the electoral roll, Australian Twins Registry, and community advertisements. PARTICIPANTS Older adults (aged 65-106) without dementia from the Sydney Memory and Ageing Study (n = 1037; median age 78), Older Australian Twins Study (n = 361; median age 68), and Sydney Centenarian Study (n = 217; median age 97). MEASUREMENTS Frequency of super-aging was assessed using nine super-aging definitions based on performance on neuropsychological testing. Levels of agreement between definitions were calculated, and associations between super-aging status for each definition and functioning (Bayer ADL score), structural brain imaging measures, and incident dementia were explored. RESULTS Frequency of super-aging varied between 2.9 and 43.4 percent with more stringent definitions associated with lower frequency. Agreement between different criteria varied from poor (K = 0.04, AC1 = .24) to very good (K = 0.83, AC1 = .91) with better agreement between definitions using similar tests and cutoffs. Super-aging was associated with better functional performance (4.7-11%) and lower rates of incident dementia (hazard ratios 0.08-0.48) for most definitions. Super-aging status was associated with a lower burden of white matter hyperintensities (3.8-33.2%) for all definitions. CONCLUSIONS The frequency of super-aging is strongly affected by the demographic and neuropsychological testing parameters used. Greater consistency in defining super-aging would enable better characterization of this exceptional minority.
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Affiliation(s)
- Alice Powell
- Centre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Ben C P Lam
- Centre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
- School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia
| | - David Foxe
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Jacqueline C T Close
- Neuroscience Research Australia, University of New South Wales, Sydney, NSW, Australia
- School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
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Ceresetti R, Celle S, Roche F, Barthélémy JC, Michael GA, Borg C. Normative Data for a Neuropsychological Test Battery in the French Aging Population: 20-Year Follow-Up From the "PROgnostic OF Cardiovascular and Cerebrovascular Events" Study. Arch Clin Neuropsychol 2023:acad074. [PMID: 37769183 DOI: 10.1093/arclin/acad074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/25/2023] [Indexed: 09/30/2023] Open
Abstract
OBJECTIVE The study aimed to present relevant norms for the evaluation of pathological aging in the French population over a 20-year period, utilizing the "PROgnostic OF cardiovascular and cerebrovascular events" test and questionnaire. METHODS Three neuropsychological evaluations were administered over 20 years with 929 participants at the first cognitive evaluation (62-69 years old), 631 at the second (71-78 years old), and 293 at the third (81-88 years old). The tests and questionnaires were administered in the following order: McNair's Cognitive Complaints Questionnaire, Depression Questionnaire of Pichot, Mini Mental State Examination, Free and Cued Selective Reminding test, Benton Visual Retention Test, Digit-Symbol Substitution Test of the WAIS-III, Trail Making Test, Stroop Test, Verbal Fluency, and the Similarities subtest of the WAIS-III. RESULTS Normative data were presented at three time points of the repeated evaluation over 20 years (62-69 years, 71-78 years, and 81-88 years) and four educational levels (no diploma, primary school certificate, certificate of professional aptitude, and baccalaureate and above). The data showed a significant effect of educational level in all neuropsychological tests regardless of age. Gender primarily affected memory, Stroop scores, and Similarities scores. CONCLUSION This study highlights the importance of educational level and gender in the evaluation of the memory and executive function of elderly persons. Furthermore, the presented norms consider the self-report cognitive complaints and depression symptoms over a long period of life.
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Affiliation(s)
- Romain Ceresetti
- Department of Clinical Physiology, VISAS Center, University Hospital, Saint-Étienne, France
- Neurology/Neuropsychology CMRR Unit, Hospital Nord, Saint Priest-en-Jarez, France
| | - Sébastien Celle
- Department of Clinical Physiology, VISAS Center, University Hospital, Saint-Étienne, France
- INSERM, U 1059 Sainbiose, Univ Jean Monnet, Mines Saint-Étienne, Saint-Étienne, France
| | - Frédéric Roche
- Department of Clinical Physiology, VISAS Center, University Hospital, Saint-Étienne, France
- INSERM, U 1059 Sainbiose, Univ Jean Monnet, Mines Saint-Étienne, Saint-Étienne, France
| | - Jean-Claude Barthélémy
- Department of Clinical Physiology, VISAS Center, University Hospital, Saint-Étienne, France
- INSERM, U 1059 Sainbiose, Univ Jean Monnet, Mines Saint-Étienne, Saint-Étienne, France
| | - George A Michael
- Unité de Recherche Etude des Mécanismes Cognitifs (EMC), University of Lyon, University Lyon 2, Lyon, France
| | - Céline Borg
- Neurology/Neuropsychology CMRR Unit, Hospital Nord, Saint Priest-en-Jarez, France
- Psychology faculty, University of Lyon, Lyon, France
- Laboratoire de Psychologie et Neurocognition (LPNC), University of Grenoble Alpes, University of Savoie Mont Blanc, CNRS UMR 5105, Grenoble, France
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11
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Ticha Z, Georgi H, Schmand B, Heissler R, Kopecek M. Processing speed predicts SuperAging years later. BMC Psychol 2023; 11:34. [PMID: 36732871 PMCID: PMC9896833 DOI: 10.1186/s40359-023-01069-7] [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: 08/23/2022] [Accepted: 01/25/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND SuperAging is one of the current concepts related to elite, resilient or high-functioning cognitive aging. The main aim of our study was to find possible predictors of SuperAgers (SA). METHODS Community-dwelling older persons (N = 96) aged 80-101 years in 2018 were repeatedly tested (year 2012 and 2018). SA were defined based on their performance in 2018 as persons of 80+ years of age who recalled ≥ 9 words in the delayed recall of the Philadelphia Verbal Learning Test, and had a normal performance in non-memory tasks [the Boston Naming Test, the Trail Making Test Part B, and Category Fluency ("Animals")], which was defined as a score within or above one standard deviation from the age and education appropriate average. Three composite scores (CS; immediate memory, processing speed, and executive functions) were created from the performance in 2012, and analysed as possible predictors of SA status in 2018. RESULTS We identified 19 SA (15 females) and 77 nonSA (42 females), groups did not significantly differ in age, years of education, and sex. The logistic regression model (p = 0.028) revealed three predictors of SA from the baseline (year 2012), including processing speed (p = 0.006; CS-speed: the Prague Stroop Test-Dots and the Digit Symbol Substitution Test), sex (p = 0.015), and age (p = 0.045). CONCLUSIONS Thus, SA may be predicted based on the level of processing speed, which supports the hypothesis of the processing speed theory of healthy aging.
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Affiliation(s)
- Zuzana Ticha
- grid.445531.20000 0004 0485 9760Prague College of Psychosocial Studies, Hekrova 805, 149 00 Prague 11, Háje, Czech Republic
| | - Hana Georgi
- grid.445531.20000 0004 0485 9760Prague College of Psychosocial Studies, Hekrova 805, 149 00 Prague 11, Háje, Czech Republic
| | - Ben Schmand
- grid.7177.60000000084992262Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Radek Heissler
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic
| | - Miloslav Kopecek
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic ,grid.4491.80000 0004 1937 116XDepartment of Psychiatry and Medical Psychology, Third Faculty of Medicine, Charles University, Prague, Czech Republic
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12
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Longitudinal brain age prediction and cognitive function after stroke. Neurobiol Aging 2023; 122:55-64. [PMID: 36502572 DOI: 10.1016/j.neurobiolaging.2022.10.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 09/19/2022] [Accepted: 10/11/2022] [Indexed: 11/06/2022]
Abstract
Advanced age is associated with post-stroke cognitive decline. Machine learning based on brain scans can be used to estimate brain age of patients, and the corresponding difference from chronological age, the brain age gap (BAG), has been investigated in a range of clinical conditions, yet not thoroughly in post-stroke neurocognitive disorder (NCD). We aimed to investigate the association between BAG and post-stroke NCD over time. Lower BAG (younger appearing brain compared to chronological age) was found associated with lower risk of post-stroke NCD up to 36 months after stroke, even among those showing no evidence of impairments 3 months after hospital admission. For patients with no NCD at baseline, survival analysis suggested that higher baseline BAG was associated with higher risk of post-stroke NCD at 18 and 36 months. In conclusion, a younger appearing brain is associated with a lower risk of post-stroke NCD.
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13
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Katsumi Y, Wong B, Cavallari M, Fong TG, Alsop DC, Andreano JM, Carvalho N, Brickhouse M, Jones R, Libermann TA, Marcantonio ER, Schmitt E, Shafi MM, Pascual-Leone A, Travison T, Barrett LF, Inouye SK, Dickerson BC, Touroutoglou A. Structural integrity of the anterior mid-cingulate cortex contributes to resilience to delirium in SuperAging. Brain Commun 2022; 4:fcac163. [PMID: 35822100 PMCID: PMC9272062 DOI: 10.1093/braincomms/fcac163] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 05/24/2022] [Accepted: 06/20/2022] [Indexed: 12/12/2022] Open
Abstract
Abstract
Despite its devastating clinical and societal impact, approaches to treat delirium in older adults remain elusive, making it important to identify factors that may confer resilience to this syndrome. Here, we investigated a cohort of 93 cognitively normal older patients undergoing elective surgery recruited as part of the Successful Aging after Elective Surgery study. Each participant was classified either as a SuperAger (n = 19) or typically aging older adult (n = 74) based on neuropsychological criteria, where the former was defined as those older adults whose memory function rivals that of young adults. We compared these subgroups to examine the role of preoperative memory function in the incidence and severity of postoperative delirium. We additionally investigated the association between indices of postoperative delirium symptoms and cortical thickness in functional networks implicated in SuperAging based on structural magnetic resonance imaging data that were collected preoperatively. We found that SuperAging confers the real-world benefit of resilience to delirium, as shown by lower (i.e. zero) incidence of postoperative delirium and decreased severity scores compared with typical older adults. Furthermore, greater baseline cortical thickness of the anterior mid-cingulate cortex—a key node of the brain’s salience network that is also consistently implicated in SuperAging—predicted lower postoperative delirium severity scores in all patients. Taken together, these findings suggest that baseline memory function in older adults may be a useful predictor of postoperative delirium risk and severity and that superior memory function may contribute to resilience to delirium. In particular, the integrity of the anterior mid-cingulate cortex may be a potential biomarker of resilience to delirium, pointing to this region as a potential target for preventive or therapeutic interventions designed to mitigate the risk or consequences of developing this prevalent clinical syndrome.
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Affiliation(s)
- Yuta Katsumi
- Harvard Medical School , Boston MA , USA
- Frontotemporal Disorders Unit, Massachusetts General Hospital , Boston MA , USA
- Department of Neurology, Massachusetts General Hospital , Boston MA , USA
| | - Bonnie Wong
- Harvard Medical School , Boston MA , USA
- Frontotemporal Disorders Unit, Massachusetts General Hospital , Boston MA , USA
- Department of Psychiatry, Massachusetts General Hospital , Boston MA , USA
| | - Michele Cavallari
- Harvard Medical School , Boston MA , USA
- Center for Neurologlical Imaging, Department of Radiology, Brigham and Women’s Hospital , Boston MA , USA
| | - Tamara G Fong
- Harvard Medical School , Boston MA , USA
- Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife , Boston MA , USA
- Department of Neurology, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - David C Alsop
- Harvard Medical School , Boston MA , USA
- Department of Medicine, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - Joseph M Andreano
- Harvard Medical School , Boston MA , USA
- Department of Psychiatry, Massachusetts General Hospital , Boston MA , USA
| | - Nicole Carvalho
- Frontotemporal Disorders Unit, Massachusetts General Hospital , Boston MA , USA
- Department of Neurology, Massachusetts General Hospital , Boston MA , USA
| | - Michael Brickhouse
- Frontotemporal Disorders Unit, Massachusetts General Hospital , Boston MA , USA
- Department of Neurology, Massachusetts General Hospital , Boston MA , USA
| | - Richard Jones
- Department of Psychiatry and Human Behavior and Neurology, Brown University Warren Alpert Medical School , Providence RI , USA
| | - Towia A Libermann
- Harvard Medical School , Boston MA , USA
- Genomics, Proteomics, Bioinformatics and Systems Biology Center, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - Edward R Marcantonio
- Harvard Medical School , Boston MA , USA
- Department of Medicine, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - Eva Schmitt
- Harvard Medical School , Boston MA , USA
- Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife , Boston MA , USA
| | - Mouhsin M Shafi
- Harvard Medical School , Boston MA , USA
- Department of Neurology, Beth Israel Deaconess Medical Center , Boston MA , USA
- Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - Alvaro Pascual-Leone
- Harvard Medical School , Boston MA , USA
- Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - Thomas Travison
- Harvard Medical School , Boston MA , USA
- Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife , Boston MA , USA
| | - Lisa Feldman Barrett
- Harvard Medical School , Boston MA , USA
- Department of Psychiatry, Massachusetts General Hospital , Boston MA , USA
- Department of Psychology, Northeastern University , Boston MA , USA
| | - Sharon K Inouye
- Harvard Medical School , Boston MA , USA
- Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife , Boston MA , USA
- Department of Medicine, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - Bradford C Dickerson
- Harvard Medical School , Boston MA , USA
- Frontotemporal Disorders Unit, Massachusetts General Hospital , Boston MA , USA
- Department of Neurology, Massachusetts General Hospital , Boston MA , USA
- Department of Psychiatry, Massachusetts General Hospital , Boston MA , USA
- Massachusetts Alzheimer’s Disease Research Center, Massachusetts General Hospital , Boston MA , USA
| | - Alexandra Touroutoglou
- Harvard Medical School , Boston MA , USA
- Frontotemporal Disorders Unit, Massachusetts General Hospital , Boston MA , USA
- Department of Neurology, Massachusetts General Hospital , Boston MA , USA
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14
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Stone WS, Phillips MR, Yang LH, Kegeles LS, Susser ES, Lieberman JA. Neurodegenerative model of schizophrenia: Growing evidence to support a revisit. Schizophr Res 2022; 243:154-162. [PMID: 35344853 PMCID: PMC9189010 DOI: 10.1016/j.schres.2022.03.004] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/07/2022] [Accepted: 03/11/2022] [Indexed: 12/21/2022]
Abstract
Multidimensional progressive declines in the absence of standard biomarkers for neurodegeneration are observed commonly in the development of schizophrenia, and are accepted as consistent with neurodevelopmental etiological hypotheses to explain the origins of the disorder. Far less accepted is the possibility that neurodegenerative processes are involved as well, or even that key dimensions of function, such as cognition and aspects of biological integrity, such as white matter function, decline in chronic schizophrenia beyond levels associated with normal aging. We propose that recent research germane to these issues warrants a current look at the question of neurodegeneration. We propose the view that a neurodegenerative hypothesis provides a better explanation of some features of chronic schizophrenia, including accelerated aging, than is provided by neurodevelopmental hypotheses. Moreover, we suggest that neurodevelopmental influences in early life, including those that may extend to later life, do not preclude the development of neurodegenerative processes in later life, including some declines in cognitive and biological integrity. We evaluate these views by integrating recent findings in representative domains such as cognition and white and gray matter integrity with results from studies on accelerated aging, together with functional implications of neurodegeneration for our understanding of chronic schizophrenia.
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Affiliation(s)
- William S. Stone
- Harvard Medical School Department of Psychiatry at Beth Israel Deaconess Medical Center, Boston, Massachusetts,Corresponding Author: William S. Stone, Ph.D., Massachusetts Mental Health Center, 75 Fenwood Road, Boston, Massachusetts, USA,
| | - Michael R. Phillips
- Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, Shanghai, China,Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
| | - Lawrence H. Yang
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York,New York University College of Global Public Health, New York, New York
| | - Lawrence S. Kegeles
- Department of Psychiatry, Columbia University, New York, New York,New York State Psychiatric Institute, New York, New York
| | - Ezra S. Susser
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
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15
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Kok FK, van Leerdam SL, de Lange ECM. Potential Mechanisms Underlying Resistance to Dementia in Non-Demented Individuals with Alzheimer's Disease Neuropathology. J Alzheimers Dis 2022; 87:51-81. [PMID: 35275527 PMCID: PMC9198800 DOI: 10.3233/jad-210607] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Alzheimer’s disease (AD) is the most common form of dementia and typically characterized by the accumulation of amyloid-β plaques and tau tangles. Intriguingly, there also exists a group of elderly which do not develop dementia during their life, despite the AD neuropathology, the so-called non-demented individuals with AD neuropathology (NDAN). In this review, we provide extensive background on AD pathology and normal aging and discuss potential mechanisms that enable these NDAN individuals to remain cognitively intact. Studies presented in this review show that NDAN subjects are generally higher educated and have a larger cognitive reserve. Furthermore, enhanced neural hypertrophy could compensate for hippocampal and cingulate neural atrophy in NDAN individuals. On a cellular level, these individuals show increased levels of neural stem cells and ‘von Economo neurons’. Furthermore, in NDAN brains, binding of Aβ oligomers to synapses is prevented, resulting in decreased glial activation and reduced neuroinflammation. Overall, the evidence stated here strengthens the idea that some individuals are more resistant to AD pathology, or at least show an elongation of the asymptomatic state of the disease compared to others. Insights into the mechanisms underlying this resistance could provide new insight in understanding normal aging and AD itself. Further research should focus on factors and mechanisms that govern the NDAN cognitive resilience in order to find clues on novel biomarkers, targets, and better treatments of AD.
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Affiliation(s)
- Frédérique K Kok
- Predictive Pharmacology, Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre of Drug Research, Leiden University, Leiden, The Netherlands
| | - Suzanne L van Leerdam
- Predictive Pharmacology, Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre of Drug Research, Leiden University, Leiden, The Netherlands
| | - Elizabeth C M de Lange
- Predictive Pharmacology, Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre of Drug Research, Leiden University, Leiden, The Netherlands
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16
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Zheng Y, Xu X, Zheng B. Clinical Observation on the Effect of Systematic Nursing Intervention on Cognitive Function, Life Activity Ability, and Quality of Life of Senile Dementia Patients. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE : ECAM 2021; 2021:2839142. [PMID: 34675980 PMCID: PMC8526248 DOI: 10.1155/2021/2839142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 09/29/2021] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To explore the influence of systematic nursing intervention on the life ability and quality of senile dementia patients. METHODS Total of 82 senile dementia patients who were admitted to our hospital from January 2018 to January 2020 were divided into two groups according to the random number table, and the nursing intervention was analyzed. 41 patients in the control group were given routine nursing care, and 41 patients in the observation group were given systematic nursing intervention. Patients were assessed cognitively using the Montreal Cognitive Assessment Scale (MoCA). The Barthel index and SF-36 were used to evaluate the patients' daily activity function and quality of life. A Symptom Checklist-90-Revised (SCL-90-R) was used to assess mental distress. The Social-Adaptive Function Rating Scale (SAFE) and Social Skills Inventory (SSC) were used to evaluate the patients' social interaction ability before and after nursing intervention. Nursing satisfaction was distributed to patients in the form of a self-prepared nursing satisfaction questionnaire for scoring. RESULTS After the nursing intervention, the MoCA scores of patients in the two groups were higher than those before the nursing intervention, and the scores in the observation group were higher than those in the control group (P < 0.05). After the nursing intervention, the Barthel index scores of patients in the two groups were higher than those before the nursing intervention, and the scores in the observation group were higher than those in the control group (P < 0.05). After the nursing intervention, the SF-36 scores of patients in the two groups were higher than those before the nursing intervention, and the scores in the observation group were higher than those in the control group (P < 0.05). After nursing intervention, the SCL-90-R scores of patients in the two groups were lower than those before nursing intervention, and the scores in the observation group were lower than those in the control group (P < 0.05). After the nursing intervention, the SAFE scores of patients in the two groups were lower than those before the nursing intervention, and the safe scores of the observation group were lower than those of the control group (P < 0.05). After the nursing intervention, the SSC scores of patients in the two groups were lower than those before the nursing intervention, and the scores in the observation group were lower than those in the control group (P < 0.05). After nursing intervention, the total satisfaction degree of the control group (80.49%) was lower than that of the observation group (97.56%) (P < 0.05). CONCLUSION The implementation of systematic nursing intervention is conducive to improve the cognitive function, activity of life, and quality of life of senile dementia patients who have a positive effect, and nursing satisfaction is higher.
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Affiliation(s)
- Yuan Zheng
- Xi'an Health School, Xi'an, Shaanxi 710054, China
| | - Xiaoyan Xu
- Department of General Practice, Jiangdong Branch of Zhuji People's Hospital, Zhuji, Zhejiang 311800, China
| | - Birong Zheng
- Department of General Practice, Jiangdong Branch of Zhuji People's Hospital, Zhuji, Zhejiang 311800, China
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17
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Katsumi Y, Andreano JM, Barrett LF, Dickerson BC, Touroutoglou A. Greater Neural Differentiation in the Ventral Visual Cortex Is Associated with Youthful Memory in Superaging. Cereb Cortex 2021; 31:5275-5287. [PMID: 34190976 DOI: 10.1093/cercor/bhab157] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 04/23/2021] [Accepted: 05/17/2021] [Indexed: 11/13/2022] Open
Abstract
Superagers are older adults who maintain youthful memory despite advanced age. Previous studies showed that superagers exhibit greater structural and intrinsic functional brain integrity, which contribute to their youthful memory. However, no studies, to date, have examined brain activity as superagers learn and remember novel information. Here, we analyzed functional magnetic resonance imaging data collected from 41 young and 40 older adults while they performed a paired associate visual recognition memory task. Superaging was defined as youthful performance on the long delay free recall of the California Verbal Learning Test. We assessed the fidelity of neural representations as participants encoded and later retrieved a series of word stimuli paired with a face or a scene image. Superagers, like young adults, exhibited more distinct neural representations in the fusiform gyrus and parahippocampal gyrus while viewing visual stimuli belonging to different categories (greater neural differentiation) and more similar category representations between encoding and retrieval (greater neural reinstatement), compared with typical older adults. Greater neural differentiation and reinstatement were associated with superior memory performance in all older adults. Given that the fidelity of cortical sensory processing depends on neural plasticity and is trainable, these mechanisms may be potential biomarkers for future interventions to promote successful aging.
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Affiliation(s)
- Yuta Katsumi
- Department of Psychology, Northeastern University, Boston, MA 02115, USA.,Japan Society for the Promotion of Science, Tokyo 1020083, Japan.,Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Joseph M Andreano
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston, MA 02115, USA.,Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Bradford C Dickerson
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.,Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Alexandra Touroutoglou
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.,Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
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18
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Fowler C, Rainey-Smith SR, Bird S, Bomke J, Bourgeat P, Brown BM, Burnham SC, Bush AI, Chadunow C, Collins S, Doecke J, Doré V, Ellis KA, Evered L, Fazlollahi A, Fripp J, Gardener SL, Gibson S, Grenfell R, Harrison E, Head R, Jin L, Kamer A, Lamb F, Lautenschlager NT, Laws SM, Li QX, Lim L, Lim YY, Louey A, Macaulay SL, Mackintosh L, Martins RN, Maruff P, Masters CL, McBride S, Milicic L, Peretti M, Pertile K, Porter T, Radler M, Rembach A, Robertson J, Rodrigues M, Rowe CC, Rumble R, Salvado O, Savage G, Silbert B, Soh M, Sohrabi HR, Taddei K, Taddei T, Thai C, Trounson B, Tyrrell R, Vacher M, Varghese S, Villemagne VL, Weinborn M, Woodward M, Xia Y, Ames D. Fifteen Years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study: Progress and Observations from 2,359 Older Adults Spanning the Spectrum from Cognitive Normality to Alzheimer's Disease. J Alzheimers Dis Rep 2021; 5:443-468. [PMID: 34368630 PMCID: PMC8293663 DOI: 10.3233/adr-210005] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Background: The Australian Imaging, Biomarkers and Lifestyle (AIBL) Study commenced in 2006 as a prospective study of 1,112 individuals (768 cognitively normal (CN), 133 with mild cognitive impairment (MCI), and 211 with Alzheimer’s disease dementia (AD)) as an ‘Inception cohort’ who underwent detailed ssessments every 18 months. Over the past decade, an additional 1247 subjects have been added as an ‘Enrichment cohort’ (as of 10 April 2019). Objective: Here we provide an overview of these Inception and Enrichment cohorts of more than 8,500 person-years of investigation. Methods: Participants underwent reassessment every 18 months including comprehensive cognitive testing, neuroimaging (magnetic resonance imaging, MRI; positron emission tomography, PET), biofluid biomarkers and lifestyle evaluations. Results: AIBL has made major contributions to the understanding of the natural history of AD, with cognitive and biological definitions of its three major stages: preclinical, prodromal and clinical. Early deployment of Aβ-amyloid and tau molecular PET imaging and the development of more sensitive and specific blood tests have facilitated the assessment of genetic and environmental factors which affect age at onset and rates of progression. Conclusion: This fifteen-year study provides a large database of highly characterized individuals with longitudinal cognitive, imaging and lifestyle data and biofluid collections, to aid in the development of interventions to delay onset, prevent or treat AD. Harmonization with similar large longitudinal cohort studies is underway to further these aims.
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Affiliation(s)
- Christopher Fowler
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Stephanie R Rainey-Smith
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia.,Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia.,School of Psychological Science, University of Western Australia, Crawley, WA, Australia
| | - Sabine Bird
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Julia Bomke
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Pierrick Bourgeat
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Belinda M Brown
- Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia.,Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Samantha C Burnham
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Ashley I Bush
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Carolyn Chadunow
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Steven Collins
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - James Doecke
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia.,Cooperative Research Council for Mental Health, Melbourne, VIC, Australia
| | - Vincent Doré
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia.,Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC, Australia
| | - Kathryn A Ellis
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia.,University of Melbourne Academic Unit for Psychiatry of Old Age, Parkville, VIC, Australia.,Melbourne School of Psychological Sciences, Melbourne, VIC, Australia
| | - Lis Evered
- Department of Anaesthesia and Acute Pain Medicine, St Vincent's Hospital Melbourne, Victoria Parade, Fitzroy, VIC, Australia
| | - Amir Fazlollahi
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Jurgen Fripp
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Samantha L Gardener
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Simon Gibson
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Robert Grenfell
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Elise Harrison
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Richard Head
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Liang Jin
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Adrian Kamer
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Fiona Lamb
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC, Australia
| | | | - Simon M Laws
- Collaborative Genomics and Translation Group, Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
| | - Qiao-Xin Li
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Lucy Lim
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Yen Ying Lim
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia.,Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Andrea Louey
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - S Lance Macaulay
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Lucy Mackintosh
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Ralph N Martins
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia.,Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia
| | | | - Colin L Masters
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Simon McBride
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Lidija Milicic
- Collaborative Genomics and Translation Group, Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Madeline Peretti
- Collaborative Genomics and Translation Group, Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Kelly Pertile
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Tenielle Porter
- Collaborative Genomics and Translation Group, Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
| | - Morgan Radler
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Alan Rembach
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Joanne Robertson
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Mark Rodrigues
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Christopher C Rowe
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Rebecca Rumble
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | | | - Greg Savage
- Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Brendan Silbert
- Department of Anaesthesia and Acute Pain Medicine, St Vincent's Hospital Melbourne, Victoria Parade, Fitzroy, VIC, Australia
| | - Magdalene Soh
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Hamid R Sohrabi
- Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia.,Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia.,Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Kevin Taddei
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Tania Taddei
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Christine Thai
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Brett Trounson
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Regan Tyrrell
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC, Australia
| | - Michael Vacher
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Shiji Varghese
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Victor L Villemagne
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC, Australia.,Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Michael Weinborn
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia.,School of Psychological Science, University of Western Australia, Crawley, WA, Australia
| | - Michael Woodward
- Department of Geriatric Medicine Austin Hospital, Heidelberg, VIC, Australia
| | - Ying Xia
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - David Ames
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia.,University of Melbourne Academic Unit for Psychiatry of Old Age, Parkville, VIC, Australia.,National Ageing Research Institute (NARI), Parkville, VIC, Australia
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19
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Zhang J, Andreano JM, Dickerson BC, Touroutoglou A, Barrett LF. Stronger Functional Connectivity in the Default Mode and Salience Networks Is Associated With Youthful Memory in Superaging. Cereb Cortex 2021; 30:72-84. [PMID: 31058917 DOI: 10.1093/cercor/bhz071] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 03/08/2019] [Accepted: 03/10/2019] [Indexed: 12/19/2022] Open
Abstract
"Superagers" are older adults who, despite their advanced age, maintain youthful memory. Previous morphometry studies revealed multiple default mode network (DMN) and salience network (SN) regions whose cortical thickness is greater in superagers and correlates with memory performance. In this study, we examined the intrinsic functional connectivity within DMN and SN in 41 young (24.5 ± 3.6 years old) and 40 older adults (66.9 ± 5.5 years old). Superaging was defined as youthful performance on a memory recall task, the California Verbal Learning Test (CVLT). Participants underwent a resting-state functional magnetic resonance imaging (fMRI) scan and performed a separate visual-verbal recognition memory task. As predicted, within both DMN and SN, superagers had stronger connectivity compared with typical older adults and similar connectivity compared with young adults. Superagers also performed similarly to young adults and better than typical older adults on the recognition task, demonstrating youthful episodic memory that generalized across memory tasks. Stronger connectivity within each network independently predicted better performance on both the CVLT and recognition task in older adults. Variation in intrinsic connectivity explained unique variance in memory performance, above and beyond youthful neuroanatomy. These results extend our understanding of the neural basis of superaging as a model of successful aging.
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Affiliation(s)
- Jiahe Zhang
- Department of Psychology, Northeastern University, Boston, MA, USA
| | - Joseph M Andreano
- Psychiatric Neuroimaging Division, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Bradford C Dickerson
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.,Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA.,Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Alexandra Touroutoglou
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.,Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA.,Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston, MA, USA.,Psychiatric Neuroimaging Division, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
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20
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Lim YY, Laws SM, Perin S, Pietrzak RH, Fowler C, Masters CL, Maruff P. BDNF VAL66MET polymorphism and memory decline across the spectrum of Alzheimer's disease. GENES BRAIN AND BEHAVIOR 2020; 20:e12724. [PMID: 33369083 DOI: 10.1111/gbb.12724] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 12/07/2020] [Accepted: 12/20/2020] [Indexed: 12/29/2022]
Abstract
The brain-derived neurotrophic factor (BDNF) Val66Met (rs6265) polymorphism has been shown to moderate the extent to which memory decline manifests in preclinical Alzheimer's disease (AD). To date, no study has examined the relationship between BDNF and memory in individuals across biologically confirmed AD clinical stages (i.e., Aβ+). We aimed to understand the effect of BDNF on episodic memory decline and clinical disease progression over 126 months in individuals with preclinical, prodromal and clinical AD. Participants enrolled in the Australian Imaging, Biomarkers and Lifestyle (AIBL) study who were Aβ + (according to positron emission tomography), and cognitively normal (CN; n = 238), classified as having mild cognitive impairment (MCI; n = 80), or AD (n = 66) were included in this study. Cognition was evaluated at 18 month intervals using an established episodic memory composite score over 126 months. We observed that in Aβ + CNs, Met66 was associated with greater memory decline with increasing age and were 1.5 times more likely to progress to MCI/AD over 126 months. In Aβ + MCIs, there was no effect of Met66 on memory decline or on disease progression to AD over 126 months. In Aβ + AD, Val66 homozygotes showed greater memory decline, while Met66 carriers performed at a constant and very impaired level. Our current results illustrate the importance of time and disease severity to clinicopathological models of the role of BDNF Val66Met in memory decline and AD clinical progression. Specifically, the effect of BDNF on memory decline is greatest in preclinical AD and reduces as AD clinical disease severity increases.
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Affiliation(s)
- Yen Ying Lim
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia
| | - Simon M Laws
- Collaborative Genomics and Translation Group, Strategic Research Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Australia
| | - Stephanie Perin
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia
| | - Robert H Pietrzak
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Christopher Fowler
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia
| | - Colin L Masters
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia
| | - Paul Maruff
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia.,Cogstate Ltd, Melbourne, Australia
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21
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Goldberg TE. Comments about SuperAging and SuperAgers. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019; 11:564-565. [PMID: 31909171 PMCID: PMC6939055 DOI: 10.1016/j.dadm.2019.05.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Terry E. Goldberg
- Division of Geriatric Psychiatry, Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
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22
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Dang C, Yassi N, Harrington KD, Xia Y, Lim YY, Ames D, Laws SM, Hickey M, Rainey-Smith S, Sohrabi HR, Doecke JD, Fripp J, Salvado O, Snyder PJ, Weinborn M, Villemagne VL, Rowe CC, Masters CL, Maruff P. Rates of age- and amyloid β-associated cortical atrophy in older adults with superior memory performance. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019; 11:566-575. [PMID: 31909172 PMCID: PMC6939054 DOI: 10.1016/j.dadm.2019.05.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Superior cognitive performance in older adults may reflect underlying resistance to age-associated neurodegeneration. While elevated amyloid β (Aβ) deposition (Aβ+) has been associated with increased cortical atrophy, it remains unknown whether "SuperAgers" may be protected from Aβ-associated neurodegeneration. METHODS Neuropsychologically defined SuperAgers (n = 172) and cognitively normal for age (n = 172) older adults from the Australian Imaging, Biomarkers and Lifestyle study were case matched. Rates of cortical atrophy over 8 years were examined by SuperAger classification and Aβ status. RESULTS Of the case-matched SuperAgers and cognitively normal for age older adults, 40.7% and 40.1%, respectively, were Aβ+. Rates of age- and Aβ-associated atrophy did not differ between the groups on any measure. Aβ- individuals displayed the slowest rates of atrophy. DISCUSSION Maintenance of superior memory in late life does not reflect resistance to age- or Aβ-associated atrophy. However, those individuals who reached old age without cognitive impairment nor elevated Aβ deposition (i.e. Aβ-) displayed reduced rates of cortical atrophy.
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Affiliation(s)
- Christa Dang
- Department of Obstetrics and Gynaecology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Nawaf Yassi
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
- Department of Medicine and Neurology, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Karra D. Harrington
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
- Cooperative Research Centre for Mental Health, Parkville, Victoria, Australia
| | - Ying Xia
- CSIRO Health and Biosecurity, the Australian eHealth Research Centre, Brisbane, Queensland, Australia
| | - Yen Ying Lim
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - David Ames
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia
- National Ageing Research Institute, Parkville, Victoria, Australia
| | - Simon M. Laws
- Cooperative Research Centre for Mental Health, Parkville, Victoria, Australia
- Collaborative Genomics Group, Centre of Excellence for Alzheimer's Disease Research and Care, School of Exercise, Biomedical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- School of Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Perth, Western Australia, Australia
| | - Martha Hickey
- Department of Obstetrics and Gynaecology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
| | - Stephanie Rainey-Smith
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Exercise, Biomedical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Australian Alzheimer's Disease Research Unit, Hollywood Private Hospital, Perth, Western Australia, Australia
| | - Hamid R. Sohrabi
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Exercise, Biomedical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- School of Psychiatry and Clinical Neurosciences, University of Western Australia, Nedlands, Western Australia, Australia
| | - James D. Doecke
- CSIRO Health and Biosecurity, the Australian eHealth Research Centre, Brisbane, Queensland, Australia
| | - Jurgen Fripp
- CSIRO Health and Biosecurity, the Australian eHealth Research Centre, Brisbane, Queensland, Australia
| | - Olivier Salvado
- CSIRO Health and Biosecurity, the Australian eHealth Research Centre, Brisbane, Queensland, Australia
| | - Peter J. Snyder
- George & Anne Ryan Institute for Neuroscience, The University of Rhode Island, Kingston, RI, USA
| | - Michael Weinborn
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Exercise, Biomedical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Australian Alzheimer's Disease Research Unit, Hollywood Private Hospital, Perth, Western Australia, Australia
- School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia
| | - Victor L. Villemagne
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
- Department of Molecular Imaging & Therapy, Austin Health, Melbourne, Victoria, Australia
- Department of Medicine, Austin Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Christopher C. Rowe
- Department of Molecular Imaging & Therapy, Austin Health, Melbourne, Victoria, Australia
- Department of Medicine, Austin Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Paul Maruff
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
- CogState Ltd., Melbourne, Victoria, Australia
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