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Ourry V, Binette AP, St-Onge F, Strikwerda-Brown C, Chagnot A, Poirier J, Breitner J, Arenaza-Urquijo EM, Rabin JS, Buckley R, Gonneaud J, Marchant NL, Villeneuve S. How Do Modifiable Risk Factors Affect Alzheimer's Disease Pathology or Mitigate Its Effect on Clinical Symptom Expression? Biol Psychiatry 2024; 95:1006-1019. [PMID: 37689129 DOI: 10.1016/j.biopsych.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 08/11/2023] [Accepted: 09/03/2023] [Indexed: 09/11/2023]
Abstract
Epidemiological studies show that modifiable risk factors account for approximately 40% of the population variability in risk of developing dementia, including sporadic Alzheimer's disease (AD). Recent findings suggest that these factors may also modify disease trajectories of people with autosomal-dominant AD. With positron emission tomography imaging, it is now possible to study the disease many years before its clinical onset. Such studies can provide key knowledge regarding pathways for either the prevention of pathology or the postponement of its clinical expression. The former "resistance pathway" suggests that modifiable risk factors could affect amyloid and tau burden decades before the appearance of cognitive impairment. Alternatively, the resilience pathway suggests that modifiable risk factors may mitigate the symptomatic expression of AD pathology on cognition. These pathways are not mutually exclusive and may appear at different disease stages. Here, in a narrative review, we present neuroimaging evidence that supports both pathways in sporadic AD and autosomal-dominant AD. We then propose mechanisms for their protective effect. Among possible mechanisms, we examine neural and vascular mechanisms for the resistance pathway. We also describe brain maintenance and functional compensation as bases for the resilience pathway. Improved mechanistic understanding of both pathways may suggest new interventions.
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Affiliation(s)
- Valentin Ourry
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada.
| | - Alexa Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; Clinical Memory Research Unit, Department of Clinical Sciences, Lunds Universitet, Malmö, Sweden
| | - Frédéric St-Onge
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Cherie Strikwerda-Brown
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; School of Psychological Science, The University of Western Australia, Perth, Western Australia, Australia
| | - Audrey Chagnot
- UK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, United Kingdom; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Judes Poirier
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - John Breitner
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Eider M Arenaza-Urquijo
- Environment and Health over the Lifecourse Programme, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - Jennifer S Rabin
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada; Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada
| | - Rachel Buckley
- Melbourne School of Psychological Sciences University of Melbourne, Parkville, Victoria, Australia; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Julie Gonneaud
- Normandie University, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders," Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, Caen, France
| | - Natalie L Marchant
- Division of Psychiatry, University College London, London, United Kingdom
| | - Sylvia Villeneuve
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
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Leung Y, Eramudugolla R, Cherbuin N, Peters R, Mortby ME, Kiely KM, Anstey KJ. Estimating Gender Differences in the Association between Cognitive Resilience and Mild Cognitive Impairment Incidence. Gerontology 2024; 70:776-784. [PMID: 38697040 DOI: 10.1159/000538615] [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: 09/20/2023] [Accepted: 03/22/2024] [Indexed: 05/04/2024] Open
Abstract
INTRODUCTION Recent evidence suggests that the influence of verbal intelligence and education on the onset of subjective cognitive decline may be modulated by gender, where education contributes less to cognitive resilience (CR) in women than in men. This study aimed to examine gender differences in the association between CR and mild cognitive impairment (MCI) incidence in an Australian population-based cohort. METHODS We included 1,806 participants who had completed at least the first two waves and up to four waves of assessments in the Personality and Total Health (PATH) Through Life study (baseline: 49% female, male = 62.5, SD = 1.5, age range = 60-66 years). CR proxies included measures of educational attainment, occupation skill, verbal intelligence, and leisure activity. Discrete-time survival analyses were conducted to examine gender differences in the association between CR proxies and MCI risk, adjusting for age and apolipoprotein E4 status. RESULTS Gender differences were only found in the association between occupation and MCI risk, where lower occupation skill was more strongly associated with higher risk in men than in women (odds ratio [OR] = 1.30, 95% confidence interval [CI] [1.07, 1.57]). In both genders, after adjusting for education and occupation, one SD increase in leisure activity was associated with lower MCI risk by 32% (OR = 0.76, 95% CI [0.65, 0.89]). Higher scores in verbal intelligence assessment were associated with reduced risk of MCI by 28% (OR = 0.78, 95% CI [0.69, 0.89]). CONCLUSION Occupational experience may contribute to CR differently between genders. Life course cognitive engagement and verbal intelligence may be more protective against MCI than education and occupation for both men and women.
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Affiliation(s)
- Yvonne Leung
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- UNSW Ageing Futures Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Ranmalee Eramudugolla
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
| | - Nicolas Cherbuin
- Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Ruth Peters
- UNSW Ageing Futures Institute, University of New South Wales, Sydney, New South Wales, Australia
- George Institute for Global Health, Sydney, New South Wales, Australia
| | - Moyra E Mortby
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- UNSW Ageing Futures Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Kim M Kiely
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- UNSW Ageing Futures Institute, University of New South Wales, Sydney, New South Wales, Australia
- School of Health and Society, and School of Mathematics and Applied Statistics, University of Wollongong, Sydney, New South Wales, Australia
| | - Kaarin J Anstey
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- UNSW Ageing Futures Institute, University of New South Wales, Sydney, New South Wales, Australia
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3
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Borchers F, Rumpel M, Laubrock J, Spies C, Kozma P, Slooter A, van Montfort SJT, Piper SK, Wiebach J, Winterer G, Pischon T, Feinkohl I. Cognitive reserve and the risk of postoperative neurocognitive disorders in older age. Front Aging Neurosci 2024; 15:1327388. [PMID: 38374990 PMCID: PMC10875020 DOI: 10.3389/fnagi.2023.1327388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 12/26/2023] [Indexed: 02/21/2024] Open
Abstract
Background Postoperative delirium (POD) and postoperative cognitive dysfunction (POCD) are postoperative neurocognitive disorders (PNDs) that frequently occur in the aftermath of a surgical intervention. Cognitive reserve (CR) is a concept posited to explain why cognitive health varies between individuals. On this qualitative understanding of cognitive health, factors like IQ, education level, and occupational complexity can affect the impact of neuropathological processes on cognitive outcomes. Methods We investigated the association between CR and POD and CR and POCD on data from 713 patients aged≥65 years with elective surgery. Peak pre-morbid IQ was estimated from vocabulary. Occupational complexity was coded according to the Dictionary of Occupational Titles (DOT). Education level was classed according to the International Standard Classification of Education (ISCED). These three factors were used as proxies of CR. In a series of regression models, age, sex, depression, site of surgery, and several lifestyle and vascular factors were controlled for. Results Patients with a higher IQ had lower odds of developing POD. We found no significant association between the other two CR markers with POD. None of the CR markers was associated with POCD. Conclusion The significant association of a higher IQ with lower POD risk allows for the stratification of elderly surgical patients by risk. This knowledge can aid the prevention and/or early detection of POD. Further research should attempt to determine the lack of associations of CR markers with POCD in our study.
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Affiliation(s)
- Friedrich Borchers
- Department of Anesthesiology and Intensive Care Medicine (CCM, CVK), Humboldt-Universität zu Berlin, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Miriam Rumpel
- Department of Psychology, University of Potsdam, Potsdam, Germany
| | - Jochen Laubrock
- Department of Psychology, University of Potsdam, Potsdam, Germany
| | - Claudia Spies
- Department of Anesthesiology and Intensive Care Medicine (CCM, CVK), Humboldt-Universität zu Berlin, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Petra Kozma
- 2nd Department of Internal Medicine and Nephrological Center, University of Pécs Medical School, Pécs, Hungary
| | - Arjen Slooter
- Department of Intensive Care Medicine and Brain Center, University Medical Center Utrecht (UMC), Utrecht University, Utrecht, Netherlands
| | - Simone J. T. van Montfort
- Department of Intensive Care Medicine and Brain Center, University Medical Center Utrecht (UMC), Utrecht University, Utrecht, Netherlands
| | - Sophie K. Piper
- Institute of Medical Informatics, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Institute of Biometry and Clinical Epidemiology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Janine Wiebach
- Institute of Medical Informatics, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Institute of Biometry and Clinical Epidemiology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Georg Winterer
- Department of Anesthesiology and Intensive Care Medicine (CCM, CVK), Humboldt-Universität zu Berlin, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Pharmaimage Biomarker Solutions Inc., Cambridge, MA, United States
- PI Health Solutions GmbH, Berlin, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- Core Facility Biobank, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Biobank Technology Platform, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Insa Feinkohl
- Medical Biometry and Epidemiology Group, Witten/Herdecke University, Witten, Germany
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Giaquinto F, Tosi G, Abbatantuono C, Pepe I, Iaia M, Macchitella L, Rizzi E, De Caro MF, Romano D, Taurisano P, Angelelli P. The indirect effect of cognitive reserve on the relationship between age and cognition in pathological ageing: A cross-sectional retrospective study in an unselected and consecutively enrolled sample. J Neuropsychol 2023; 17:477-490. [PMID: 37184066 DOI: 10.1111/jnp.12323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 04/26/2023] [Accepted: 05/03/2023] [Indexed: 05/16/2023]
Abstract
Cognitive reserve (CR) allows individuals to maintain cognitive functionality even in the presence of pathologies. The compensation hypothesis suggests that CR plays an indirect role between age and cognitive decline, contrasting the negative effect of ageing on cognition. We test this hypothesis in an unselected and consecutively enrolled sample of memory clinic attendees (n = 134) who completed the CR Index questionnaire and three neuropsychological tests assessing global cognition (MMSE, FAB, CDT). Participants were divided into two groups based on standard diagnostic criteria (DSM-5): those who were cognitively impaired (n = 92) and those who were preserved (n = 42). A principal component analysis was used to extract a composite measure of global cognitive functioning from the three neuropsychological tests, and mediation analysis was used to examine the relationship between CR, age and global cognitive functioning in the two groups. Results revealed that: (i) age had a significant direct negative effect on the global cognitive score in both groups; (ii) the three socio-behavioural proxies of CR together suppress the direct negative relationship between age and global cognitive score in cognitively impaired patients but not in cognitively preserved participants. This study confirms the association between CR, age and cognition and allows us to validate its role in a population with cognitive impairment and extend findings to a low-to-middle educated population. These results hold important implications for public health and wellness promotion, emphasising the beneficial role of maintaining healthy and active physical, cognitive and social lifestyles.
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Affiliation(s)
- Francesco Giaquinto
- Laboratory of Applied Psychology and Intervention, Department of Human and Social Sciences, University of Salento, Lecce, Italy
| | - Giorgia Tosi
- Laboratory of Applied Psychology and Intervention, Department of Human and Social Sciences, University of Salento, Lecce, Italy
- Psychology Department, University of Milano-Bicocca, Milan, Italy
| | - Chiara Abbatantuono
- Department of Translational Biomedicine and Neuroscience "DiBraiN", University of Bari "Aldo Moro", Bari, Italy
| | - Ilaria Pepe
- Department of Translational Biomedicine and Neuroscience "DiBraiN", University of Bari "Aldo Moro", Bari, Italy
| | - Marika Iaia
- Laboratory of Applied Psychology and Intervention, Department of Human and Social Sciences, University of Salento, Lecce, Italy
| | - Luigi Macchitella
- Laboratory of Applied Psychology and Intervention, Department of Human and Social Sciences, University of Salento, Lecce, Italy
- Scientific Institute I.R.C.C.S. "E. Medea"- Unit for Severe Disabilities in Developmental Age and Young Adults (Developmental Neurology and Neurorehabilitation), Brindisi, Italy
| | - Ezia Rizzi
- Laboratory of Applied Psychology and Intervention, Department of Human and Social Sciences, University of Salento, Lecce, Italy
- Psychology Department, University of Milano-Bicocca, Milan, Italy
| | - Maria Fara De Caro
- Department of Translational Biomedicine and Neuroscience "DiBraiN", University of Bari "Aldo Moro", Bari, Italy
| | - Daniele Romano
- Psychology Department, University of Milano-Bicocca, Milan, Italy
| | - Paolo Taurisano
- Department of Translational Biomedicine and Neuroscience "DiBraiN", University of Bari "Aldo Moro", Bari, Italy
| | - Paola Angelelli
- Laboratory of Applied Psychology and Intervention, Department of Human and Social Sciences, University of Salento, Lecce, Italy
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Rydström A, Stephen R, Kåreholt I, Darin Mattsson A, Ngandu T, Lehtisalo J, Bäckman L, Kemppainen N, Rinne J, Sindi S, Soininen H, Vanninen R, Solomon A, Mangialasche F. The Role of Brain Integrity in the Association between Occupational Complexity and Cognitive Performance in Subjects with Increased Risk of Dementia. Gerontology 2023; 69:972-985. [PMID: 37071974 DOI: 10.1159/000530688] [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: 10/31/2022] [Accepted: 03/24/2023] [Indexed: 04/20/2023] Open
Abstract
INTRODUCTION Mechanisms underlying the positive association between occupational mental demands and late-life cognition are poorly understood. The objective of this study was to assess whether the association between occupational complexity and cognition is related to and moderated by brain integrity in individuals at risk for dementia. Brain integrity was appraised throughout structural measures (magnetic resonance imaging, MRI) and amyloid accumulation (Pittsburgh compound B (PiB)-positron emission tomography, PiB-PET). METHODS Participants from the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) neuroimaging sample - MRI (N = 126), PiB-PET (N = 41) - were included in a post hoc cross-sectional analysis. Neuroimaging parameters comprised the Alzheimer's disease signature (ADS) cortical thickness (FreeSurfer 5.3), medial temporal atrophy (MTA), and amyloid accumulation (PiB-PET). Cognition was assessed using the neuropsychological test battery. Occupational complexity with data, people, and substantive complexity were classified through the Dictionary of Occupational Titles. Linear regression models included cognition as dependent variable, and occupational complexity, measures of brain integrity, and their interaction terms as predictors. RESULTS Occupational complexity with data and substantive complexity were associated with better cognition (overall cognition, executive function) when adjusting for ADS and MTA (independent association). Significant interaction effects between occupational complexity and brain integrity were also found, indicating that, for some indicators of brain integrity and cognition (e.g., overall cognition, processing speed), the positive association between occupational complexity and cognition occurred only among persons with higher brain integrity (moderated association). CONCLUSIONS Among individuals at risk for dementia, occupational complexity does not seem to contribute toward resilience against neuropathology. These exploratory findings require validation in larger populations.
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Affiliation(s)
- Anders Rydström
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
- Aging Research Center, Department of Neurobiology, Center for Alzheimer Research, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Ruth Stephen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ingemar Kåreholt
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
- Aging Research Center, Department of Neurobiology, Center for Alzheimer Research, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Institute of Gerontology, School of Health and Welfare, Aging Research Network-Jönköping, Jönköping University, Jönköping, Sweden
| | - Alexander Darin Mattsson
- Aging Research Center, Department of Neurobiology, Center for Alzheimer Research, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Tiia Ngandu
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
- Department of Public Health and Welfare, Population Health, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jenni Lehtisalo
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Public Health and Welfare, Population Health, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Lars Bäckman
- Aging Research Center, Department of Neurobiology, Center for Alzheimer Research, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Nina Kemppainen
- Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland
- Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Juha Rinne
- Turku PET Centre, Turku University Hospital, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Shireen Sindi
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
- The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
| | - Hilkka Soininen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Neurocenter/Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Ritva Vanninen
- Diagnostic Imaging Centre, Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
- Unit of Radiology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Alina Solomon
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
| | - Francesca Mangialasche
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
- Aging Research Center, Department of Neurobiology, Center for Alzheimer Research, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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Devos H, Gustafson KM, Liao K, Ahmadnezhad P, Kuhlmann E, Estes BJ, Martin LE, Mahnken JD, Brooks WM, Burns JM. Effect of Cognitive Reserve on Physiological Measures of Cognitive Workload in Older Adults with Cognitive Impairments. J Alzheimers Dis 2023; 92:141-151. [PMID: 36710677 PMCID: PMC10023364 DOI: 10.3233/jad-220890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND Cognitive reserve may protect against cognitive decline. OBJECTIVE This cross-sectional study investigated the association between cognitive reserve and physiological measures of cognitive workload in older adults with cognitive impairment. METHODS 29 older adults with cognitive impairment (age: 75±6, 11 (38%) women, MoCA: 20±7) and 19 with normal cognition (age: 74±6; 11 (58%) women; MoCA: 28±2) completed a working memory test of increasing task demand (0-, 1-, 2-back). Cognitive workload was indexed using amplitude and latency of the P3 event-related potential (ERP) at electrode sites Fz, Cz, and Pz, and changes in pupillary size, converted to an index of cognitive activity (ICA). The Cognitive Reserve Index questionnaire (CRIq) evaluated Education, Work Activity, and Leisure Time as a proxy of cognitive reserve. Linear mixed models evaluated the main effects of cognitive status, CRIq, and the interaction effect of CRIq by cognitive status on ERP and ICA. RESULTS The interaction effect of CRIq total score by cognitive status on P3 ERP and ICA was not significant. However, higher CRIq total scores were associated with lower ICA (p = 0.03). The interaction effects of CRIq subscores showed that Work Activity affected P3 amplitude (p = 0.03) and ICA (p = 0.03) differently between older adults with and without cognitive impairments. Similarly, Education affected ICA (p = 0.02) differently between the two groups. No associations were observed between CRIq and P3 latency. CONCLUSION Specific components of cognitive reserve affect cognitive workload and neural efficiency differently in older adults with and without cognitive impairments.
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Affiliation(s)
- Hannes Devos
- Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, Kansas City, KS, USA.,University of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Kathleen M Gustafson
- Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA.,Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Ke Liao
- Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Pedram Ahmadnezhad
- Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, Kansas City, KS, USA
| | - Emily Kuhlmann
- Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, Kansas City, KS, USA
| | - Bradley J Estes
- Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, Kansas City, KS, USA
| | - Laura E Martin
- Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA.,Department of Population Health, University of Kansas Medical Center, Kansas City, KS, USA
| | - Jonathan D Mahnken
- University of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, USA.,Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - William M Brooks
- University of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, USA.,Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA.,Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Jeffrey M Burns
- University of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, USA.,Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
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7
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Li Y, Wang M, Cong L, Hou T, Song L, Wang X, Shi L, Dekhtyar S, Wang Y, Du Y, Qiu C. Lifelong Cognitive Reserve, Imaging Markers of Brain Aging, and Cognitive Function in Dementia-Free Rural Older Adults: A Population-Based Study. J Alzheimers Dis 2023; 92:261-272. [PMID: 36710675 PMCID: PMC10041437 DOI: 10.3233/jad-220864] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/28/2022] [Indexed: 01/28/2023]
Abstract
BACKGROUND Cognitive reserve (CR) partly explains cognitive variability in the presence of pathological brain aging. OBJECTIVE We investigated the interplay of lifelong CR with age, sex, and brain aging markers in cognitive phenotypes among older adults with very limited education. METHODS This population-based cross-sectional study included 179 dementia-free participants (age ≥65 years; 39.7% women; 67.0% had no or elementary education) examined in 2014-2016. We assessed lacunes and volumes of hippocampus, ventricles, grey matter, white matter (WM), and white matter hyperintensities. Lifelong CR score was generated from six lifespan intellectual factors (e.g., education and social support). We used Mini-Mental State Examination (MMSE) score to assess cognition and Petersen's criteria to define mild cognitive impairment (MCI). Data were analyzed using general linear and logistic models. RESULTS The association of higher lifelong CR score (range: -4.0-5.0) with higher MMSE score was stronger in women (multivariable-adjusted β-coefficient and 95% CI: 1.75;0.99-2.51) than in men (0.68;0.33-1.03) (pinteraction = 0.006). The association of higher CR with MCI (multivariable-adjusted odds ratio and 95% CI: 0.77;0.60-0.99) did not vary by age or sex. Among participants with low CR (<1.4[median]), greater hippocampal and WM volumes were related to higher MMSE scores with multivariable-adjusted β-coefficients being 1.77(0.41-3.13) and 0.44(0.15-0.74); the corresponding figures in those with high CR were 0.15(-0.76-1.07) and -0.17(-0.41-0.07) (pinteraction <0.01). There was no statistical interaction of CR with MRI markers on MCI. CONCLUSION Greater lifelong CR capacity is associated with better late-life cognition among people with limited education, possibly by compensating for impact of neurodegeneration.
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Affiliation(s)
- Yuanjing Li
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong, P.R. China
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Mingqi Wang
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong, P.R. China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong, P.R. China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong, P.R. China
| | - Lin Song
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong, P.R. China
| | - Xiang Wang
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong, P.R. China
| | - Lin Shi
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, P.R. China
| | - Serhiy Dekhtyar
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong, P.R. China
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, P.R. China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong, P.R. China
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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Castro CCM, Silva SP, Rabelo LN, Queiroz JPG, Campos LD, Silva LC, Fiuza FP. Age, Education Years, and Biochemical Factors Are Associated with Selective Neuronal Changes in the Elderly Hippocampus. Cells 2022; 11:cells11244033. [PMID: 36552799 PMCID: PMC9777473 DOI: 10.3390/cells11244033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/02/2022] [Accepted: 12/06/2022] [Indexed: 12/15/2022] Open
Abstract
Brain aging involves regional alterations of specific cellular subpopulations in the human hippocampus: a network hub for memory consolidation. The present study investigates whether age, sex, education years, and the concentration of neuropathological and inflammatory proteins influence neuronal-type marker expression in the elderly hippocampus. We analyzed the digital images (1 µm/pixel) of postmortem hippocampal sections from 19 non-demented individuals (from 78 to 99 years). This material was obtained from the "Aging Dementia and TBI Study" open database. Brain samples were processed through in situ hybridization (ISH) for the immunodetection of VGLUT1 (glutamatergic transporter) and GAT1 (GABAergic transporter) and mRNAs and Luminex protein quantifications. After image acquisition, we delineated the dentate gyrus, CA 3/2, and CA1 hippocampal subdivisions. Then, we estimated the area fraction in which the ISH markers were expressed. Increased VGLUT1 was observed in multiple hippocampal subfields at late ages. This glutamatergic marker is positively correlated with beta-amyloid and tau proteins and negatively correlated with interleukin-7 levels. Additionally, education years are positively correlated with GAT1 in the hippocampus of elderly women. This GABAergic marker expression is associated with interferon-gamma and brain-derived neurotrophic factor levels. These associations can help to explain how hippocampal sub-regions and neurotransmitter systems undergo distinct physiological changes during normal aging.
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Li F, Kong X, Zhu H, Xu H, Wu B, Cao Y, Li J. The moderating effect of cognitive reserve on cognitive function in patients with Acute Ischemic Stroke. Front Aging Neurosci 2022; 14:1011510. [DOI: 10.3389/fnagi.2022.1011510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 10/31/2022] [Indexed: 11/17/2022] Open
Abstract
BackgroundRecovery of cognitive function after stroke has inter-individual variability. The theory of cognitive reserve offers a potential explanation of the variability in cognitive function after stroke.ObjectiveThis study aimed to investigate the moderating effect of cognitive reserve on the relationship between the stroke severity and cognitive function after stroke.Materials and methodsA total of 220 patients with Acute Ischemic Stroke (AIS) were recruited in 2021 from two stroke centers in Nanjing, China. The National Institutes of Health Stroke Scale (NIHSS) was used to assess stroke severity upon admission. Cognitive Reserve Index questionnaire (CRIq) and validated Montreal Cognitive Assessment, Changsha Version (MoCA-CS) were used to assess cognitive reserve and cognitive function within 7 days after stroke onset, respectively. A series of multivariate linear regression models were applied to test the moderating effect of cognitive reserve.ResultsPatients with a higher level of cognitive reserve had better cognitive function after stroke compared with those with a lower level of cognitive reserve (β = 0.074, p = 0.003). The interaction of NIHSS and cognitive reserve was statistically significant (β = −0.010, p = 0.045) after adjusting for some key covariates [e.g., age, marital status, Oxfordshire Community Stroke Project (OCSP) classification, Trial of ORG 10172 in Acute Stroke Treatment (TOAST) classification, cerebral vascular stenosis, diabetes and atrial fibrillation].ConclusionCognitive reserve may help to buffer the effect of stroke-related pathology on cognitive decline in Chinese acute stroke patients. Enhancing cognitive reserve in stroke patients may be one of the potential strategies for preventing vascular dementia.
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Kato T, Nishita Y, Otsuka R, Inui Y, Nakamura A, Kimura Y, Ito K. Effect of cognitive reserve on amnestic mild cognitive impairment due to Alzheimer’s disease defined by fluorodeoxyglucose-positron emission tomography. Front Aging Neurosci 2022; 14:932906. [PMID: 36034127 PMCID: PMC9399434 DOI: 10.3389/fnagi.2022.932906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
This study aimed to investigate the effect of cognitive reserve (CR) on the rate of cognitive decline and cerebral glucose metabolism in amnestic mild cognitive impairment (MCI) using the Study on Diagnosis of Early Alzheimer’s Disease-Japan (SEAD-J) dataset. The patients in SEAD-J underwent cognitive tests and fluorodeoxyglucose-positron emission tomography (FDG-PET). MCI to be studied was classified as amnestic MCI due to Alzheimer’s disease (AD) with neurodegeneration. A total of 57 patients were visually interpreted as having an AD pattern (P1 pattern, Silverman’s classification). The 57 individuals showing the P1 pattern were divided into a high-education group (years of school education ≥13, N = 18) and a low-education group (years of school education ≤12, N = 39). Voxel-based statistical parametric mapping revealed more severe hypometabolism in the high-education group than in the low-education group. Glucose metabolism in the hippocampus and temporoparietal area was inversely associated with the years of school education in the high- and low-education groups (N = 57). General linear mixed model analyses demonstrated that cognitive decline was more rapid in the high-education group during 3-year follow-up. These results suggest that the cerebral glucose metabolism is lower and cognitive function declines faster in patients with high CR of amnestic MCI due to AD defined by FDG-PET.
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Affiliation(s)
- Takashi Kato
- Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Aichi, Japan
- *Correspondence: Takashi Kato,
| | - Yukiko Nishita
- Department of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Rei Otsuka
- Department of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Yoshitaka Inui
- Department of Radiology, Fujita Health University School of Medicine, Aichi, Japan
| | - Akinori Nakamura
- Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Aichi, Japan
- Department of Biomarker Research, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Yasuyuki Kimura
- Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Kengo Ito
- Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - SEAD-J Study GroupFukuyamaHidenaoSendaMichioIshiiKenjiIshiiKazunariMaedaKiyoshiYamamotoYasujiOuchiYasuomiOkamuraAyumuArahataYutakaWashimiYukihikoMeguroKenichiIkedaMitsuruKyoto University, Kyoto, Japan; Institute of Biomedical Research and Innovation, Kobe, Japan; Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan; Kindai University, Osaka, Japan; Kobe Gakuin University, Kobe, Japan; Kobe University Graduate School of Medicine, Kobe, Japan; Hamamatsu University School of Medicine, Hamamatsu, Japan; Kizawa Memorial Hospital, Gifu, Japan; National Center for Geriatrics and Gerontology, Aichi, Japan; National Center for Geriatrics and Gerontology, Aichi, Japan; Tohoku University Graduate School of Medicine, Sendai, Japan; Nagoya University School of Health Sciences, Nagoya, Japan
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