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Babroudi S, Tighiouart H, Schrauben SJ, Cohen JB, Fischer MJ, Rahman M, Hsu CY, Sozio SM, Weir M, Sarnak M, Yaffe K, Tamura MK, Drew D. Blood Pressure, Incident Cognitive Impairment, and Severity of CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study. Am J Kidney Dis 2023; 82:443-453.e1. [PMID: 37245689 PMCID: PMC10526961 DOI: 10.1053/j.ajkd.2023.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 03/05/2023] [Indexed: 05/30/2023]
Abstract
RATIONALE & OBJECTIVE Hypertension is a known risk factor for dementia and cognitive impairment. There are limited data on the relation of systolic blood pressure (SBP) and diastolic blood pressure (DBP) with incident cognitive impairment in adults with chronic kidney disease. We sought to identify and characterize the relationship among blood pressure, cognitive impairment, and severity of decreased kidney function in adults with chronic kidney disease. STUDY DESIGN Longitudinal cohort study. SETTING & PARTICIPANTS 3,768 participants in the Chronic Renal Insufficiency Cohort (CRIC) Study. EXPOSURE Baseline SBP and DBP were examined as exposure variables, using continuous (linear, per 10-mm Hg higher), categorical (SBP<120 [reference], 120 to 140,>140mm Hg; DBP<70 (reference), 70 to 80, > 80mm Hg) and nonlinear terms (splines). OUTCOME Incident cognitive impairment defined as a decline in Modified Mini-Mental State Examination (3MS) score to greater than 1 standard deviation below the cohort mean. ANALYTICAL APPROACH Cox proportional hazard models adjusted for demographics as well as kidney disease and cardiovascular disease risk factors. RESULTS The mean age of participants was 58±11 (SD) years, estimated glomerular filtration rate (eGFR) was 44mL/min/1.73m2 ± 15 (SD), and the median follow-up time was 11 (IQR, 7-13) years. In 3,048 participants without cognitive impairment at baseline and with at least 1 follow-up 3MS test, a higher baseline SBP was significantly associated with incident cognitive impairment only in the eGFR>45mL/min/1.73m2 subgroup (adjusted hazard ratio [AHR], 1.13 [95% CI, 1.05-1.22] per 10mm Hg higher SBP]. Spline analyses, aimed at exploring nonlinearity, showed that the relationship between baseline SBP and incident cognitive impairment was J-shaped and significant only in the eGFR>45mL/min/1.73m2 subgroup (P=0.02). Baseline DBP was not associated with incident cognitive impairment in any analyses. LIMITATIONS 3MS test as the primary measure of cognitive function. CONCLUSIONS Among patients with chronic kidney disease, higher baseline SBP was associated with higher risk of incident cognitive impairment specifically in those individuals with eGFR>45mL/min/1.73m2. PLAIN-LANGUAGE SUMMARY High blood pressure is a strong risk factor for dementia and cognitive impairment in studies of adults without kidney disease. High blood pressure and cognitive impairment are common in adults with chronic kidney disease (CKD). The impact of blood pressure on the development of future cognitive impairment in patients with CKD remains unclear. We identified the relationship between blood pressure and cognitive impairment in 3,076 adults with CKD. Baseline blood pressure was measured, after which serial cognitive testing was performed over 11 years. Fourteen percent of participants developed cognitive impairment. We found that a higher baseline systolic blood pressure was associated with an increased risk of cognitive impairment. We found that this association was stronger in adults with mild-to-moderate CKD compared with those with advanced CKD.
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Affiliation(s)
- Seda Babroudi
- William B. Schwartz Division of Nephrology, Boston, Massachusetts.
| | - Hocine Tighiouart
- Institute for Clinical Research and Health Policy Studies, Boston, Massachusetts; Tufts Medical Center, and School of Medicine, Tufts University, Boston, Massachusetts
| | - Sarah J Schrauben
- Department of Medicine and Department of Epidemiology, Biostatistics and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jordana B Cohen
- Department of Medicine and Department of Epidemiology, Biostatistics and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Michael J Fischer
- Department of Medicine/Nephrology, University of Illinois, Chicago, Illinois; Medical Service, Jesse Brown VA Medical Center, Chicago, Illinois; Center of Innovation for Complex Chronic Healthcare (CINCCH), Edward J. Hines VA Hospital, Hines, Illinois
| | - Mahboob Rahman
- University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio; Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio
| | - Chi-Yuan Hsu
- Division of Nephrology, San Francisco, California
| | - Stephen M Sozio
- Division of Nephrology, Department of Medicine, School of Medicine, and Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Matthew Weir
- Division of Nephrology, School of Medicine, University of Maryland, Baltimore, Maryland
| | - Mark Sarnak
- William B. Schwartz Division of Nephrology, Boston, Massachusetts
| | - Kristine Yaffe
- University of California-San Francisco, San Francisco, California
| | - Manjula Kurella Tamura
- Division of Nephrology, School of Medicine, Stanford University, Palo Alto, California; Geriatric Research and Education Clinical Center, VA Palo Alto Health Care System, Palo Alto, California
| | - David Drew
- William B. Schwartz Division of Nephrology, Boston, Massachusetts
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Gourlay C, Collin P, D'Auteuil C, Jacques M, Caron PO, Scherzer PB. Age differences in social-cognitive abilities across the stages of adulthood and path model investigation of adult social cognition. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2022; 29:1033-1067. [PMID: 34355998 DOI: 10.1080/13825585.2021.1962789] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Accepted: 07/27/2021] [Indexed: 06/13/2023]
Abstract
Accumulating evidence points toward an association between older age and performance decrements in social cognition (SC). We explored age-related variations in four components of SC: emotion recognition, theory of mind, social judgment, and blame attributions. A total of 120 adults divided into three stages (18-34 years, 35-59 years, 60-85 years) completed a battery of SC. Between and within age-group differences in SC were investigated. Path analyses were used to identify relationships among the components. Emotion recognition and theory of mind showed differences beginning either in midlife, or after. Blame attributions and social judgment did not show a significant difference. However, social judgment varied significantly within groups. Path models revealed a relationship between emotion recognition and theory of mind. Findings highlight age-related differences in some components and a link between two components. Strategies promoting social functioning in aging might help to maintain or improve these abilities over time.
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Affiliation(s)
- Catherine Gourlay
- Département De Psychologie, Université Du Québec À Montréal, Montréal, Québec, Canada
| | - Pascal Collin
- Département De Psychologie, Université Du Québec À Montréal, Montréal, Québec, Canada
| | - Camille D'Auteuil
- Département De Psychologie, Université Du Québec À Montréal, Montréal, Québec, Canada
| | - Marie Jacques
- Département De Psychologie, Université Du Québec À Montréal, Montréal, Québec, Canada
| | | | - Peter B Scherzer
- Département De Psychologie, Université Du Québec À Montréal, Montréal, Québec, Canada
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Brain effect of bariatric surgery in people with obesity. Int J Obes (Lond) 2022; 46:1671-1677. [PMID: 35729365 DOI: 10.1038/s41366-022-01162-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 05/09/2022] [Accepted: 06/01/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND/OBJECTIVES The link between obesity and brain function is a fascinating but still an enigmatic topic. We evaluated the effect of Roux-en-Y gastric bypass (RYGB) on peripheral glucose metabolism, insulin sensitivity, brain glucose utilization and cognitive abilities in people with obesity. SUBJECTS/METHODS Thirteen subjects with obesity (F/M 11/2; age 44.4 ± 9.8 years; BMI 46.1 ± 4.9 kg/m2) underwent 75-g OGTT during a [18F]FDG dynamic brain PET/CT study at baseline and 6 months after RYGB. At the same timepoints, cognitive performance was tested with Mini Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Trail making test (TMT) and Token test (TT). Glucose, insulin, C-peptide, GLP-1, GIP, and VIP levels were measured during OGTT. Leptin and BDNF levels were measured before glucose ingestion. RESULTS RYGB resulted in significant weight loss (from 46.1 ± 4.9 to 35.3 ± 5.0 kg/m2; p < 0.01 vs baseline). Insulin sensitivity improved (disposition index: from 1.1 ± 0.2 to 2.9 ± 1.1; p = 0.02) and cerebral glucose metabolic rate (CMRg) declined in various brain areas (all p ≤ 0.01). MMSE and MoCA score significantly improved (p = 0.001 and p = 0.002, respectively). TMT and TT scores showed a slight improvement. A positive correlation was found between CMRg change and HOMA-IR change in the caudate nucleus (ρ = 0.65, p = 0.01). Fasting leptin decreased (from 80.4 ± 13.0 to 16.1 ± 2.4 ng/dl; p = 0.001) and correlated with CMRg change in the hippocampus (ρ = 0.50; p = 0.008). CMRg change was correlated with cognitive scores changes on the TMT and TT (all p = 0.04 or less). CONCLUSIONS Bariatric surgery improves CMRg directly related to a better cognitive testing result. This study highlights the potential pleiotropic effects of bariatric surgery. TRIAL REGISTRY NUMBER NCT03414333.
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Jutten RJ, Rentz DM, Fu JF, Mayblyum DV, Amariglio RE, Buckley RF, Properzi MJ, Maruff P, Stark CE, Yassa MA, Johnson KA, Sperling RA, Papp KV. Monthly At-Home Computerized Cognitive Testing to Detect Diminished Practice Effects in Preclinical Alzheimer's Disease. Front Aging Neurosci 2022; 13:800126. [PMID: 35095476 PMCID: PMC8792465 DOI: 10.3389/fnagi.2021.800126] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 12/14/2021] [Indexed: 01/12/2023] Open
Abstract
Introduction: We investigated whether monthly assessments of a computerized cognitive composite (C3) could aid in the detection of differences in practice effects (PE) in clinically unimpaired (CU) older adults, and whether diminished PE were associated with Alzheimer's disease (AD) biomarkers and annual cognitive decline. Materials and Methods: N = 114 CU participants (age 77.6 ± 5.0, 61% female, MMSE 29 ± 1.2) from the Harvard Aging Brain Study completed the self-administered C3 monthly, at-home, on an iPad for one year. At baseline, participants underwent in-clinic Preclinical Alzheimer's Cognitive Composite-5 (PACC5) testing, and a subsample (n = 72, age = 77.8 ± 4.9, 59% female, MMSE 29 ± 1.3) had 1-year follow-up in-clinic PACC5 testing available. Participants had undergone PIB-PET imaging (0.99 ± 1.6 years before at-home baseline) and Flortaucipir PET imaging (n = 105, 0.62 ± 1.1 years before at-home baseline). Linear mixed models were used to investigate change over months on the C3 adjusting for age, sex, and years of education, and to extract individual covariate-adjusted slopes over the first 3 months. We investigated the association of 3-month C3 slopes with global amyloid burden and tau deposition in eight predefined regions of interest, and conducted Receiver Operating Characteristic analyses to examine how accurately 3-month C3 slopes could identify individuals that showed >0.10 SD annual decline on the PACC-5. Results: Overall, individuals improved on all C3 measures over 12 months (β = 0.23, 95% CI [0.21-0.25], p < 0.001), but improvement over the first 3 months was greatest (β = 0.68, 95% CI [0.59-0.77], p < 0.001), suggesting stronger PE over initial repeated exposures. However, lower PE over 3 months were associated with more global amyloid burden (r = -0.20, 95% CI [-0.38 - -0.01], p = 0.049) and tau deposition in the entorhinal cortex (r = -0.38, 95% CI [-0.54 - -0.19], p < 0.001) and inferior-temporal lobe (r = -0.23, 95% CI [-0.41 - -0.02], p = 0.03). 3-month C3 slopes exhibited good discriminative ability to identify PACC-5 decliners (AUC 0.91, 95% CI [0.84-0.98]), which was better than baseline C3 (p < 0.001) and baseline PACC-5 scores (p = 0.02). Conclusion: While PE are commonly observed among CU adults, diminished PE over monthly cognitive testing are associated with greater AD biomarker burden and cognitive decline. Our findings imply that unsupervised computerized testing using monthly retest paradigms can provide rapid detection of diminished PE indicative of future cognitive decline in preclinical AD.
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Affiliation(s)
- Roos J. Jutten
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Dorene M. Rentz
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Jessie F. Fu
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Danielle V. Mayblyum
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Rebecca E. Amariglio
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Rachel F. Buckley
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Michael J. Properzi
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Paul Maruff
- CogState Ltd., Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Craig E. Stark
- Department of Neurobiology and Behavior, Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, United States
| | - Michael A. Yassa
- Department of Neurobiology and Behavior, Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, United States
| | - Keith A. Johnson
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Reisa A. Sperling
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Kathryn V. Papp
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
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Bertola L, Benseñor IM, Gross AL, Caramelli P, Barreto SM, Moreno AB, Griep RH, Viana MC, Lotufo PA, Suemoto CK. Longitudinal measurement invariance of neuropsychological tests in a diverse sample from the ELSA-Brasil study. REVISTA BRASILEIRA DE PSIQUIATRIA (SAO PAULO, BRAZIL : 1999) 2021; 43:254-261. [PMID: 32997074 PMCID: PMC8136397 DOI: 10.1590/1516-4446-2020-0978] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 06/03/2020] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Longitudinal measurement invariance analyses are an important way to assess a test's ability to estimate the underlying construct over time, ensuring that cognitive scores across visits represent a similar underlying construct, and that changes in test performance are attributable to individual change in cognitive abilities. We aimed to evaluate longitudinal measurement invariance in a large, social and culturally diverse sample over time. METHODS A total of 5,949 participants from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) were included, whose cognition was reassessed after four years. Longitudinal measurement invariance analysis was performed by comparing a nested series of multiple-group confirmatory factor analysis models (for memory and executive function factors). RESULTS Configural, metric, scalar and strict invariance were tested and supported over time. CONCLUSION Cognitive temporal changes in this sample are more likely to be due to normal and/or pathological aging. Testing longitudinal measurement invariance is essential for diverse samples at high risk of dementia, such as in low- and middle-income countries.
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Affiliation(s)
- Laiss Bertola
- Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP, Brazil
| | - Isabela M. Benseñor
- Centro de Pesquisa Clínica e Epidemiológica, Hospital Universitário, USP, São Paulo, SP, Brazil
- Departamento de Medicina Interna, Faculdade de Medicina, USP, São Paulo, SP, Brazil
| | - Alden L. Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Paulo Caramelli
- Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | | | - Arlinda B. Moreno
- Departamento de Epidemiologia e Métodos Quantitativos em Saúde (DEMQS), Escola Nacional de Saúde Pública Sergio Arouca (ENSP), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - Rosane H. Griep
- Laboratório de Educação em Ambiente e Saúde, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - Maria Carmen Viana
- Departamento de Medicina Social, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil
| | - Paulo A. Lotufo
- Departamento de Medicina Interna, Faculdade de Medicina, USP, São Paulo, SP, Brazil
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Jutten RJ, Grandoit E, Foldi NS, Sikkes SAM, Jones RN, Choi S, Lamar ML, Louden DKN, Rich J, Tommet D, Crane PK, Rabin LA. Lower practice effects as a marker of cognitive performance and dementia risk: A literature review. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12055. [PMID: 32671181 PMCID: PMC7346865 DOI: 10.1002/dad2.12055] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 05/27/2020] [Accepted: 05/27/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND Practice effects (PEs) are improvements in performance after repeated exposure to test materials, and typically viewed as a source of bias in repeated cognitive assessments. We aimed to determine whether characterizing PEs could also provide a useful marker of early cognitive decline. METHODS We conducted a systematic review of the literature, searching PsycInfo (Ebsco) and PubMed databases for articles studying PEs in aging and dementia populations. Articles published between 1920 and 2019 were included. RESULT We identified 259 articles, of which 27 studied PEs as markers of cognitive performance. These studies consistently showed that smaller, less-robust PEs were associated with current diagnostic status and/or future cognitive decline. In addition, lower PEs were associated with Alzheimer's disease risk factors and neurodegeneration biomarkers. CONCLUSION PEs provide a potentially useful marker of cognitive decline, and could prove valuable as part of a cost-effective strategy to select individuals who are at-risk for dementia for future interventions.
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Affiliation(s)
- Roos J. Jutten
- Alzheimer Center AmsterdamAmsterdam NeuroscienceAmsterdam UMCVrije UniversiteitAmsterdamthe Netherlands
| | | | - Nancy S. Foldi
- Queens College and The Graduate Center of The City University of New YorkQueensNew YorkUSA
| | - Sietske A. M. Sikkes
- Alzheimer Center AmsterdamAmsterdam NeuroscienceAmsterdam UMCVrije UniversiteitAmsterdamthe Netherlands
| | - Richard N. Jones
- Warren Alpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| | - Seo‐Eun Choi
- School of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Melissa L. Lamar
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | | | - Joanne Rich
- University Libraries, University of WashingtonSeattleWashingtonUSA
| | - Douglas Tommet
- Warren Alpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| | - Paul K. Crane
- School of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Laura A. Rabin
- Brooklyn College and The Graduate Center of The City University of New YorkBrooklynNew YorkUSA
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Luo N, Sui J, Abrol A, Lin D, Chen J, Vergara VM, Fu Z, Du Y, Damaraju E, Xu Y, Turner JA, Calhoun VD. Age-related structural and functional variations in 5,967 individuals across the adult lifespan. Hum Brain Mapp 2020; 41:1725-1737. [PMID: 31876339 PMCID: PMC7267948 DOI: 10.1002/hbm.24905] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 11/24/2019] [Accepted: 12/10/2019] [Indexed: 12/13/2022] Open
Abstract
Exploring brain changes across the human lifespan is becoming an important topic in neuroscience. Though there are multiple studies which investigated the relationship between age and brain imaging, the results are heterogeneous due to small sample sizes and relatively narrow age ranges. Here, based on year-wise estimation of 5,967 subjects from 13 to 72 years old, we aimed to provide a more precise description of adult lifespan variation trajectories of gray matter volume (GMV), structural network correlation (SNC), and functional network connectivity (FNC) using independent component analysis and multivariate linear regression model. Our results revealed the following relationships: (a) GMV linearly declined with age in most regions, while parahippocampus showed an inverted U-shape quadratic relationship with age; SNC presented a U-shape quadratic relationship with age within cerebellum, and inverted U-shape relationship primarily in the default mode network (DMN) and frontoparietal (FP) related correlation. (b) FNC tended to linearly decrease within resting-state networks (RSNs), especially in the visual network and DMN. Early increase was revealed between RSNs, primarily in FP and DMN, which experienced a decrease at older ages. U-shape relationship was also revealed to compensate for the cognition deficit in attention and subcortical related connectivity at late years. (c) The link between middle occipital gyrus and insula, as well as precuneus and cerebellum, exhibited similar changing trends between SNC and FNC across the adult lifespan. Collectively, these results highlight the benefit of lifespan study and provide a precise description of age-related regional variation and SNC/FNC changes based on a large dataset.
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Affiliation(s)
- Na Luo
- Brainnetome Center and National Laboratory of Pattern RecognitionInstitute of Automation, Chinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Jing Sui
- Brainnetome Center and National Laboratory of Pattern RecognitionInstitute of Automation, Chinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
- CAS Center for Excellence in Brain Science and Intelligence TechnologyInstitute of Automation, Chinese Academy of SciencesBeijingChina
| | - Anees Abrol
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
| | - Dongdong Lin
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
| | - Jiayu Chen
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
| | - Victor M. Vergara
- CAS Center for Excellence in Brain Science and Intelligence TechnologyInstitute of Automation, Chinese Academy of SciencesBeijingChina
| | - Zening Fu
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
| | - Yuhui Du
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
- School of Computer and Information TechnologyShanxi UniversityTaiyuanChina
| | - Eswar Damaraju
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
| | - Yong Xu
- Department of PsychiatryFirst Clinical Medical College/ First Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Jessica A. Turner
- Department of PsychologyNeuroscience Institute, Georgia State UniversityAtlantaGeorgia
| | - Vince D. Calhoun
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
- Department of PsychiatryYale University, School of MedicineNew HavenConnecticut
- Department of Psychology, Computer ScienceNeuroscience Institute, and Physics, Georgia State UniversityAtlantaGeorgia
- Department of Electrical and Computer EngineeringGeorgia Institute of TechnologyAtlantaGeorgia
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Xue B, Cadar D, Fleischmann M, Stansfeld S, Carr E, Kivimäki M, McMunn A, Head J. Effect of retirement on cognitive function: the Whitehall II cohort study. Eur J Epidemiol 2018; 33:989-1001. [PMID: 29280030 PMCID: PMC6153553 DOI: 10.1007/s10654-017-0347-7] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Accepted: 12/14/2017] [Indexed: 01/06/2023]
Abstract
According to the 'use it or lose it' hypothesis, a lack of mentally challenging activities might exacerbate the loss of cognitive function. On this basis, retirement has been suggested to increase the risk of cognitive decline, but evidence from studies with long follow-up is lacking. We tested this hypothesis in a cohort of 3433 civil servants who participated in the Whitehall II Study, including repeated measurements of cognitive functioning up to 14 years before and 14 years after retirement. Piecewise models, centred at the year of retirement, were used to compare trajectories of verbal memory, abstract reasoning, phonemic verbal fluency, and semantic verbal fluency before and after retirement. We found that all domains of cognition declined over time. Declines in verbal memory were 38% faster after retirement compared to before, after taking account of age-related decline. In analyses stratified by employment grade, higher employment grade was protective against verbal memory decline while people were still working, but this 'protective effect' was lost when individuals retired, resulting in a similar rate of decline post-retirement across employment grades. We did not find a significant impact of retirement on the other cognitive domains. In conclusion, these findings are consistent with the hypothesis that retirement accelerates the decline in verbal memory function. This study points to the benefits of cognitively stimulating activities associated with employment that could benefit older people's memory.
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Affiliation(s)
- Baowen Xue
- Research Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, School of Life and Medical Sciences, University College London, London, UK.
| | - Dorina Cadar
- Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, School of Life and Medical Sciences, University College London, London, UK
| | - Maria Fleischmann
- Research Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, School of Life and Medical Sciences, University College London, London, UK
| | - Stephen Stansfeld
- Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Ewan Carr
- Research Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, School of Life and Medical Sciences, University College London, London, UK
- Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Mika Kivimäki
- Research Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, School of Life and Medical Sciences, University College London, London, UK
| | - Anne McMunn
- Research Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, School of Life and Medical Sciences, University College London, London, UK
| | - Jenny Head
- Research Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, School of Life and Medical Sciences, University College London, London, UK
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Zhang L, Lim CY, Maiti T, Li Y, Choi J, Bozoki A, Zhu DC. Analysis of conversion of Alzheimer’s disease using a multi-state Markov model. Stat Methods Med Res 2018; 28:2801-2819. [DOI: 10.1177/0962280218786525] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
With rapid aging of world population, Alzheimer’s disease is becoming a leading cause of death after cardiovascular disease and cancer. Nearly 10% of people who are over 65 years old are affected by Alzheimer’s disease. The causes have been studied intensively, but no definitive answer has been found. Genetic predisposition, abnormal protein deposits in brain, and environmental factors are suspected to play a role in the development of this disease. In this paper, we model progression of Alzheimer’s disease using a multi-state Markov model to investigate the significance of known risk factors such as age, apolipoprotein E4, and some brain structural volumetric variables from magnetic resonance imaging scans (e.g., hippocampus, etc.) while predicting transitions between different clinical diagnosis states. With the Alzheimer’s Disease Neuroimaging Initiative data, we found that the model with age is not significant (p = 0.1733) according to the likelihood ratio test, but the apolipoprotein E4 is a significant risk factor, and the examination of apolipoprotein E4-by-sex interaction suggests that the apolipoprotein E4 link to Alzheimer’s disease is stronger in women. Given the estimated transition probabilities, the prediction accuracy is as high as 0.7849.
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Affiliation(s)
- Liangliang Zhang
- Departments of Biostatistics and Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chae Young Lim
- Department of Statistics, Seoul National University, Seoul, Republic of Korea
| | - Tapabrata Maiti
- Department of Statistics and Probability, Michigan State University, East Lansing, MI, USA
| | - Yingjie Li
- Department of Statistics and Probability, Michigan State University, East Lansing, MI, USA
| | - Jongeun Choi
- School of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea
| | - Andrea Bozoki
- Departments of Neurology and Radiology, Michigan State University, East Lansing, MI, USA
| | - David C. Zhu
- Departments of Radiology and Psychology, Michigan State University, East Lansing, MI, USA
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10
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Wilson RS, Capuano AW, Yu L, Yang J, Kim N, Leurgans SE, Lamar M, Schneider JA, Bennett DA, Boyle PA. Neurodegenerative disease and cognitive retest learning. Neurobiol Aging 2018; 66:122-130. [PMID: 29558667 DOI: 10.1016/j.neurobiolaging.2018.02.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 02/15/2018] [Accepted: 02/16/2018] [Indexed: 01/28/2023]
Abstract
Retest learning impacts estimates of cognitive aging, but its bases are uncertain. Here, we test the hypothesis that dementia-related neurodegeneration impairs retest learning. Older persons without cognitive impairment at enrollment (n = 567) had annual cognitive testing for a mean of 11 years, died, and had a neuropathologic examination to quantify 5 neurodegenerative pathologies. Change point models were used to divide cognitive trajectories into an early retest sensitive component and a later component less sensitive to retest. Performance on a global cognitive measure (baseline mean = 0.227, standard deviation = 0.382) increased an estimated mean of 0.142-unit per year for a mean of 1.5 years and declined an estimated mean of 0.123-unit per year thereafter. No pathologic marker was related to cognitive change before the change point; each was related to cognitive decline after the change point. Results were comparable in analyses that used specific cognitive outcomes, included 220 individuals with mild cognitive impairment at enrollment, or allowed a longer retest learning period. The findings suggest that neurodegeneration does not impact cognitive retest learning.
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Affiliation(s)
- Robert S Wilson
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA.
| | - Ana W Capuano
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Jingyun Yang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Namhee Kim
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Melissa Lamar
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Patricia A Boyle
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
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11
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Abstract
Although cross-sectional (between-person) comparisons consistently reveal age-related cognitive declines beginning in early adulthood, significant declines in longitudinal (within-person) comparisons are often not apparent until age 60 or later. The latter results have led to inferences that cognitive change does not begin until late middle age. However, because mean change reflects a mixture of maturational and experiential influences whose contributions could vary with age, it is important to examine other properties of change before reaching conclusions about the relation of age to cognitive change. The present study was designed to examine measures of the stability, variability, and reliability of change, as well as correlations of changes in memory with changes in speed in 2,330 adults between 18 and 80 years of age. Despite substantial power to detect small effects, the absence of significant age differences in these properties suggests that cognitive change represents a qualitatively similar phenomenon across a large range of adulthood.
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12
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Abstract
OBJECTIVES Discrepant findings of age-related effects between cross-sectional and longitudinal studies on executive function (EF) have been described across different studies. The aim of the present study was to examine longitudinal age effects on inhibition and switching, two key subfunctions of EF, calculated from results on the Color Word Interference Test (CWIT). METHODS One hundred twenty-three healthy aging individuals (average age 61.4 years; 67% women) performed the CWIT up to three times, over a period of more than 6 years. Measures of inhibition, switching, and combined inhibition and switching were analyzed. A longitudinal linear mixed effects models analysis was run including basic CWIT conditions, and measures of processing speed, retest effect, gender, education, and age as predictors. RESULTS After taking all predictors into account, age added significantly to the predictive value of the longitudinal models of (i) inhibition, (ii) switching, and (iii) combined inhibition and switching. The basic CWIT conditions and the processing speed measure added to the predictive value of the models, while retest effect, gender, and education did not. CONCLUSIONS The present study on middle-aged to older individuals showed age-related decline in inhibition and switching abilities. This decline was retained even when basic CWIT conditions, processing speed, attrition, gender, and education were controlled. (JINS, 2017, 23, 90-97).
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13
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Nilsson J, Thomas AJ, Stevens LH, McAllister-Williams RH, Ferrier IN, Gallagher P. The interrelationship between attentional and executive deficits in major depressive disorder. Acta Psychiatr Scand 2016; 134:73-82. [PMID: 27037665 DOI: 10.1111/acps.12570] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/22/2016] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Cognitive dysfunction is an established feature of major depressive disorder (MDD). However, it remains unclear whether deficits in different cognitive domains are relatively independent or originate from a circumscribed 'primary deficit'. This study tested the hypothesis that a deficit in attention represents a primary deficit in depression. METHOD Neuropsychological function was assessed in 30 depressed patients with MDD and 34 control participants. Cognitive composites were derived from a minimum of three tests and included attention, executive function, visuospatial memory and verbal memory. A multivariate analysis of variance was used to assess group differences in overall cognitive performance, and multiple regression models were used to evaluate the role of attention in deficits in other domains. RESULTS The cognitive deficit in the depressed sample was found to be characterized by poorer performance in attention and executive function. When evaluating the interrelationship between the two deficits, the attentional deficit was found to persist when variability in executive function was statistically accounted for, whilst the executive deficit was eliminated when attention was accounted for. CONCLUSION The results demonstrated that the attentional deficit could not be explained by deficits in executive function, which provides support for a primary attention deficit in depression.
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Affiliation(s)
- J Nilsson
- Aging Research Center, Karolinska Institutet, Stockholm, Sweden.,Stockholm University, Stockholm, Sweden.,Institute of Neuroscience, Newcastle University Institute for Ageing, Newcastle, upon Tyne, UK
| | - A J Thomas
- Institute of Neuroscience, Newcastle University Institute for Ageing, Newcastle, upon Tyne, UK
| | - L H Stevens
- Institute of Neuroscience, Newcastle University Institute for Ageing, Newcastle, upon Tyne, UK.,Tees, Esk and Wear Valleys NHS Foundation Trust, UK
| | - R H McAllister-Williams
- Institute of Neuroscience, Newcastle University Institute for Ageing, Newcastle, upon Tyne, UK
| | - I N Ferrier
- Institute of Neuroscience, Newcastle University Institute for Ageing, Newcastle, upon Tyne, UK
| | - P Gallagher
- Institute of Neuroscience, Newcastle University Institute for Ageing, Newcastle, upon Tyne, UK
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14
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Nexø MA, Meng A, Borg V. Can psychosocial work conditions protect against age-related cognitive decline? Results from a systematic review. Occup Environ Med 2016; 73:487-96. [PMID: 27178844 PMCID: PMC4941143 DOI: 10.1136/oemed-2016-103550] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Revised: 04/18/2016] [Accepted: 04/26/2016] [Indexed: 11/04/2022]
Abstract
According to the use it or lose it hypothesis, intellectually stimulating activities postpone age-related cognitive decline. A previous systematic review concluded that a high level of mental work demands and job control protected against cognitive decline. However, it did not distinguish between outcomes that were measured as cognitive function at one point in time or as cognitive decline. Our study aimed to systematically review which psychosocial working conditions were prospectively associated with high levels of cognitive function and/or changes in cognitive function over time. Articles were identified by a systematic literature search (MEDLINE, Web of Science (WOS), PsycNET, Occupational Safety and Health (OSH)). We included only studies with longitudinal designs examining the impact of psychosocial work conditions on outcomes defined as cognitive function or changes in cognitive function. Two independent reviewers compared title-abstract screenings, full-text screenings and quality assessment ratings. Eleven studies were included in the final synthesis and showed that high levels of mental work demands, occupational complexity or job control at one point in time were prospectively associated with higher levels of cognitive function in midlife or late life. However, the evidence to clarify whether these psychosocial factors also affected cognitive decline was insufficient, conflicting or weak. It remains speculative whether job control, job demands or occupational complexity can protect against cognitive decline. Future studies using methodological advancements can reveal whether workers gain more cognitive reserve in midlife and late life than the available evidence currently suggests. The public health implications of a previous review should thereby be redefined accordingly.
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Affiliation(s)
- Mette Andersen Nexø
- The National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Annette Meng
- The National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Vilhelm Borg
- The National Research Centre for the Working Environment, Copenhagen, Denmark
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15
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Anton SD, Woods AJ, Ashizawa T, Barb D, Buford TW, Carter CS, Clark DJ, Cohen RA, Corbett DB, Cruz-Almeida Y, Dotson V, Ebner N, Efron PA, Fillingim RB, Foster TC, Gundermann DM, Joseph AM, Karabetian C, Leeuwenburgh C, Manini TM, Marsiske M, Mankowski RT, Mutchie HL, Perri MG, Ranka S, Rashidi P, Sandesara B, Scarpace PJ, Sibille KT, Solberg LM, Someya S, Uphold C, Wohlgemuth S, Wu SS, Pahor M. Successful aging: Advancing the science of physical independence in older adults. Ageing Res Rev 2015; 24:304-27. [PMID: 26462882 DOI: 10.1016/j.arr.2015.09.005] [Citation(s) in RCA: 163] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Revised: 09/08/2015] [Accepted: 09/30/2015] [Indexed: 02/08/2023]
Abstract
The concept of 'successful aging' has long intrigued the scientific community. Despite this long-standing interest, a consensus definition has proven to be a difficult task, due to the inherent challenge involved in defining such a complex, multi-dimensional phenomenon. The lack of a clear set of defining characteristics for the construct of successful aging has made comparison of findings across studies difficult and has limited advances in aging research. A consensus on markers of successful aging is furthest developed is the domain of physical functioning. For example, walking speed appears to be an excellent surrogate marker of overall health and predicts the maintenance of physical independence, a cornerstone of successful aging. The purpose of the present article is to provide an overview and discussion of specific health conditions, behavioral factors, and biological mechanisms that mark declining mobility and physical function and promising interventions to counter these effects. With life expectancy continuing to increase in the United States and developed countries throughout the world, there is an increasing public health focus on the maintenance of physical independence among all older adults.
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16
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Grigorovich A, Forde S, Levinson D, Bastawrous M, Cheung AM, Cameron JI. Restricted Participation in Stroke Caregivers: Who Is at Risk? Arch Phys Med Rehabil 2015; 96:1284-90. [DOI: 10.1016/j.apmr.2015.03.004] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Revised: 01/20/2015] [Accepted: 03/10/2015] [Indexed: 11/26/2022]
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17
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Abstract
Previous tests of the SeniorWISE intervention with community-residing older adults that were designed to improve affect and cognitive performance were successful and positively affected these outcomes. In this study, we tested whether adding yoga to the intervention would affect the outcomes. Using a quasiexperimental pre-post design, we delivered 12 hours of SeniorWISE memory training that included a 30-minute yoga component before each training session. The intervention was based on the four components of self-efficacy theory: enactive mastery experience, vicarious experience, verbal persuasion, and physiologic arousal. We recruited 133 older adults between the ages of 53 and 96 years from four retirement communities in Central Texas. Individuals were screened and tested and then attended training sessions two times a week over 4 weeks. A septuagenarian licensed psychologist taught the memory training, and a certified yoga instructor taught yoga. Eighty-three participants completed at least 9 hours (75%) of the training and completed the posttest. Those individuals who completed made significant gains in memory performance, instrumental activities of daily living, and memory self-efficacy and had fewer depressive symptoms. Thirteen individuals advanced from poor to normal memory performance, and seven improved from impaired to poor memory performance; thus, 20 individuals improved enough to advance to a higher functioning memory group. The findings from this study of a memory training intervention plus yoga training show that the benefits of multifactorial interventions had additive benefits. The combined treatments offer a unique model for brain health programs and the promotion of nonpharmacological treatment with the goals of maintaining healthy brain function and boosting brain plasticity.
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18
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Fjell AM, McEvoy L, Holland D, Dale AM, Walhovd KB. What is normal in normal aging? Effects of aging, amyloid and Alzheimer's disease on the cerebral cortex and the hippocampus. Prog Neurobiol 2014; 117:20-40. [PMID: 24548606 DOI: 10.1016/pneurobio.2014.02.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2013] [Revised: 12/19/2013] [Accepted: 02/05/2014] [Indexed: 05/28/2023]
Abstract
What can be expected in normal aging, and where does normal aging stop and pathological neurodegeneration begin? With the slow progression of age-related dementias such as Alzheimer's disease (AD), it is difficult to distinguish age-related changes from effects of undetected disease. We review recent research on changes of the cerebral cortex and the hippocampus in aging and the borders between normal aging and AD. We argue that prominent cortical reductions are evident in fronto-temporal regions in elderly even with low probability of AD, including regions overlapping the default mode network. Importantly, these regions show high levels of amyloid deposition in AD, and are both structurally and functionally vulnerable early in the disease. This normalcy-pathology homology is critical to understand, since aging itself is the major risk factor for sporadic AD. Thus, rather than necessarily reflecting early signs of disease, these changes may be part of normal aging, and may inform on why the aging brain is so much more susceptible to AD than is the younger brain. We suggest that regions characterized by a high degree of life-long plasticity are vulnerable to detrimental effects of normal aging, and that this age-vulnerability renders them more susceptible to additional, pathological AD-related changes. We conclude that it will be difficult to understand AD without understanding why it preferably affects older brains, and that we need a model that accounts for age-related changes in AD-vulnerable regions independently of AD-pathology.
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Affiliation(s)
- Anders M Fjell
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway.
| | - Linda McEvoy
- Multimodal Imaging Laboratory, University of California, San Diego, CA, USA
| | - Dominic Holland
- Multimodal Imaging Laboratory, University of California, San Diego, CA, USA; Department of Neurosciences, University of California, San Diego, CA, USA
| | - Anders M Dale
- Multimodal Imaging Laboratory, University of California, San Diego, CA, USA; Department of Radiology, University of California, San Diego, CA, USA; Department of Neurosciences, University of California, San Diego, CA, USA
| | - Kristine B Walhovd
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway
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19
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Lundervold AJ, Wollschläger D, Wehling E. Age and sex related changes in episodic memory function in middle aged and older adults. Scand J Psychol 2014; 55:225-32. [PMID: 24601911 PMCID: PMC4314696 DOI: 10.1111/sjop.12114] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2013] [Accepted: 01/21/2014] [Indexed: 12/12/2022]
Abstract
Age-related change in episodic memory function is commonly reported in older adults. When detected on neuropsychological tests, it may still be difficult to distinguish normal from pathological changes. The present study investigates age-and sex-related changes in a group of healthy middle-aged and older adults, participating in a three-wave study on cognitive aging. The California Verbal Learning test (CVLT-II) was used to assess their episodic memory function. A cross-sectional analysis of results from the first wave showed higher performance in females than males, with a steeper age-related decline in males. This was confirmed in a longitudinal analysis using a mixed effects regression model, but with a lower age-related change and smaller difference between the sexes. Information about learning strategies and errors in the third wave turned out to contribute significantly to explain change in episodic memory function across the three waves. We argue that the results from the longitudinal analyses are generalizable to the population of healthy middle-aged and older individuals, and that they could be useful in guiding clinicians when evaluating individuals with respect to cognitive change.
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Affiliation(s)
- Astri J Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway; Center for research on Aging and Dementia, Haraldsplass Deaconal Hospital, Bergen, Norway; K. G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
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20
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Abstract
Effects of an initial testing experience on the level of cognitive performance at a 2nd occasion are well documented. However, less is known about the effects of additional testing experiences beyond the 1st on the amount of cognitive change over a specified interval. This issue was investigated in a moderately large sample of adults between 18 and 95 years of age who performed a battery of cognitive tests either 2 or 3 times at variable intervals between each assessment. Multiple regression analyses were used to examine effects of the number of assessments on change while controlling the length of the interval between the 1st and last assessments. Change in each of 5 cognitive domains was less negative when there was an intervening assessment. To illustrate, for adults between 65 and 95 years of age, the estimated change from a 1st to a 2nd assessment across an average interval of 3.9 years was -.25 standard deviation units (p < .01), but it was only -.06 standard deviation units, and not significantly different from 0, when an intervening assessment occurred during the interval. These results indicate that cognitive change may not be detected when individuals are assessed frequently with relatively short intervals between the assessments.
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21
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Fjell AM, McEvoy L, Holland D, Dale AM, Walhovd KB. What is normal in normal aging? Effects of aging, amyloid and Alzheimer's disease on the cerebral cortex and the hippocampus. Prog Neurobiol 2014; 117:20-40. [PMID: 24548606 DOI: 10.1016/j.pneurobio.2014.02.004] [Citation(s) in RCA: 511] [Impact Index Per Article: 51.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2013] [Revised: 12/19/2013] [Accepted: 02/05/2014] [Indexed: 01/18/2023]
Abstract
What can be expected in normal aging, and where does normal aging stop and pathological neurodegeneration begin? With the slow progression of age-related dementias such as Alzheimer's disease (AD), it is difficult to distinguish age-related changes from effects of undetected disease. We review recent research on changes of the cerebral cortex and the hippocampus in aging and the borders between normal aging and AD. We argue that prominent cortical reductions are evident in fronto-temporal regions in elderly even with low probability of AD, including regions overlapping the default mode network. Importantly, these regions show high levels of amyloid deposition in AD, and are both structurally and functionally vulnerable early in the disease. This normalcy-pathology homology is critical to understand, since aging itself is the major risk factor for sporadic AD. Thus, rather than necessarily reflecting early signs of disease, these changes may be part of normal aging, and may inform on why the aging brain is so much more susceptible to AD than is the younger brain. We suggest that regions characterized by a high degree of life-long plasticity are vulnerable to detrimental effects of normal aging, and that this age-vulnerability renders them more susceptible to additional, pathological AD-related changes. We conclude that it will be difficult to understand AD without understanding why it preferably affects older brains, and that we need a model that accounts for age-related changes in AD-vulnerable regions independently of AD-pathology.
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Affiliation(s)
- Anders M Fjell
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway.
| | - Linda McEvoy
- Multimodal Imaging Laboratory, University of California, San Diego, CA, USA
| | - Dominic Holland
- Multimodal Imaging Laboratory, University of California, San Diego, CA, USA; Department of Neurosciences, University of California, San Diego, CA, USA
| | - Anders M Dale
- Multimodal Imaging Laboratory, University of California, San Diego, CA, USA; Department of Radiology, University of California, San Diego, CA, USA; Department of Neurosciences, University of California, San Diego, CA, USA
| | - Kristine B Walhovd
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway
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22
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Abstract
Prior experience with a cognitive task is often associated with higher performance on a second assessment, and these experience effects can complicate the interpretation of cognitive change. The current study was designed to investigate experience effects by obtaining measures of cognitive performance separated by days and by years. The analyses were based on data from 2017 adults with two longitudinal occasions, of whom 948 had also completed a third occasion, with each occasion consisting of three parallel versions of the tests on separate sessions. Change across short intervals was typically positive, and greater among older adults and adults with low levels of cognitive ability, whereas change over intervals of approximately three years was often negative, particularly at older ages. In contrast to the expectation that change over short intervals might be informative about change over longer intervals, relations between short-term change and long-term change were negative, as the individuals who gained the most with assessments separated by days tended to experience the greatest losses across assessments separated by years.
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Affiliation(s)
- Timothy A Salthouse
- Department of Psychology, University of Virginia, 102 Gilmer Hall, University of Virginia, Charlottesville, VA 22904-4400
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23
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Cognitive change in older women using a computerised battery: a longitudinal quantitative genetic twin study. Behav Genet 2013; 43:468-79. [PMID: 23990175 PMCID: PMC3825151 DOI: 10.1007/s10519-013-9612-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2012] [Accepted: 08/16/2013] [Indexed: 11/25/2022]
Abstract
Cognitive performance is known to change over age 45, especially processing speed. Studies to date indicate that change in performance with ageing is largely environmentally mediated, with little contribution from genetics. We estimated the heritability of a longitudinal battery of computerised cognitive tests including speed measures, using a classical twin design. 324 (127 MZ, 197 DZ) female twins, aged 43–73 at baseline testing, were followed-up after 10 years, using seven measures of the Cambridge Automated Neuropsychological Test battery, four of which were measures of response latency (speed). Results were analysed using univariate and bivariate structural equation modelling. Heritability of longitudinal change was found in 5 of the 7 tests, ranging from 21 to 41 %. The genetic aetiology was remarkably stable. The first principle component of change was strongly associated with age (p < 0.001) and heritable at 47 % (27–62 %). While estimates for heritability increased in all measures over time compared to baseline, these increases were statistically non-significant. This computerised battery showed significant heritability of age-related change in cognition. Focus on this form of change may aid the search for genetic pathways involved in normal and pre-morbid cognitive ageing.
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24
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Lee RSC, Redoblado-Hodge MA, Naismith SL, Hermens DF, Porter MA, Hickie IB. Cognitive remediation improves memory and psychosocial functioning in first-episode psychiatric out-patients. Psychol Med 2013; 43:1161-1173. [PMID: 23237010 PMCID: PMC3642720 DOI: 10.1017/s0033291712002127] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2012] [Revised: 06/27/2012] [Accepted: 08/13/2012] [Indexed: 01/22/2023]
Abstract
BACKGROUND Cognitive remediation (CR) is an effective treatment for several psychiatric disorders. To date, there have been no published studies examining solely first-episode psychiatric cohorts, despite the merits demonstrated by early intervention CR studies. The current study aimed to assess the effectiveness of CR in patients with a first-episode of either major depression or psychosis. Method Fifty-five patients (mean age = 22.8 years, s.d. = 4.3) were randomly assigned to either CR (n = 28) or treatment as usual (TAU; n = 27). CR involved once-weekly 2-h sessions for a total of 10 weeks. Patients were comprehensively assessed before and after treatment. Thirty-six patients completed the study, and analyses were conducted using an intent-to-treat (ITT) approach with all available data. RESULTS In comparison to TAU, CR was associated with improved immediate learning and memory controlling for diagnosis and baseline differences. Similarly, CR patients demonstrated greater improvements than TAU patients in psychosocial functioning irrespective of diagnosis. Delayed learning and memory improvements mediated the effect of treatment on psychosocial functioning at a marginal level. CONCLUSIONS CR improves memory and psychosocial outcome in first-episode psychiatric out-patients for both depression and psychosis. Memory potentially mediated the functional gains observed. Future studies need to build on the current findings in larger samples using blinded allocation and should incorporate longitudinal follow-up and assessment of potential moderators (e.g. social cognition, self-efficacy) to examine sustainability and the precise mechanisms of CR effects respectively.
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Affiliation(s)
- R S C Lee
- Clinical Research Unit, Brain and Mind Research Institute, University of Sydney, Sydney, Australia.
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