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Valletta M, Vetrano DL, Calderón‐Larrañaga A, Kalpouzos G, Canevelli M, Marengoni A, Laukka EJ, Grande G. Association of mild and complex multimorbidity with structural brain changes in older adults: A population-based study. Alzheimers Dement 2024; 20:1958-1965. [PMID: 38170758 PMCID: PMC10984455 DOI: 10.1002/alz.13614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 11/01/2023] [Accepted: 11/27/2023] [Indexed: 01/05/2024]
Abstract
INTRODUCTION We quantified the association of mild (ie, involving one or two body systems) and complex (ie, involving ≥3 systems) multimorbidity with structural brain changes in older adults. METHODS We included 390 dementia-free participants aged 60+ from the Swedish National Study on Aging and Care in Kungsholmen who underwent brain magnetic resonance imaging at baseline and after 3 and/or 6 years. Using linear mixed models, we estimated the association between multimorbidity and changes in total brain tissue, ventricular, hippocampal, and white matter hyperintensities volumes. RESULTS Compared to non-multimorbid participants, those with complex multimorbidity showed the steepest reduction in total brain (β*time -0.03, 95% CI -0.05, -0.01) and hippocampal (β*time -0.05, 95% CI -0.08, -0.03) volumes, the greatest ventricular enlargement (β*time 0.03, 95% CI 0.01, 0.05), and the fastest white matter hyperintensities accumulation (β*time 0.04, 95% CI 0.01, 0.07). DISCUSSION Multimorbidity, particularly when involving multiple body systems, is associated with accelerated structural brain changes, involving both neurodegeneration and vascular pathology. HIGHLIGHTS Multimorbidity accelerates structural brain changes in cognitively intact older adults These brain changes encompass both neurodegeneration and cerebrovascular pathology The complexity of multimorbidity is associated with the rate of brain changes' progression.
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Affiliation(s)
- Martina Valletta
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
| | - Davide Liborio Vetrano
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
- Stockholm Gerontology Research CenterStockholmSweden
| | - Amaia Calderón‐Larrañaga
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
- Stockholm Gerontology Research CenterStockholmSweden
| | - Grégoria Kalpouzos
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
| | - Marco Canevelli
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
- Department of Human NeuroscienceSapienza UniversityRomeItaly
| | - Alessandra Marengoni
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
- Department of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Erika J Laukka
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
- Stockholm Gerontology Research CenterStockholmSweden
| | - Giulia Grande
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
- Stockholm Gerontology Research CenterStockholmSweden
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Li Y, Kalpouzos G, Bäckman L, Qiu C, Laukka EJ. Association of white matter hyperintensity accumulation with domain-specific cognitive decline: a population-based cohort study. Neurobiol Aging 2023; 132:100-108. [PMID: 37776581 DOI: 10.1016/j.neurobiolaging.2023.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 08/28/2023] [Accepted: 08/29/2023] [Indexed: 10/02/2023]
Abstract
We investigated the association of load and accumulation of white matter hyperintensities (WMHs) with rate of cognitive decline. This population-based study included 510 dementia-free people (age ≥60 years) who had repeated measures of global and regional (lobar, deep, periventricular) WMHs up to 6 years (from 2001-2003 to 2007-2010) and repeated measures of cognitive function (episodic memory, semantic memory, category fluency, letter fluency, executive function, perceptual speed) up to 15 years (from 2001-2004 to 2016-2019). We found that greater baseline loads of global and regional WMHs were associated with faster decline in letter fluency, perceptual speed, and global cognition. Furthermore, faster accumulation of global, deep, and periventricular WMHs was related to accelerated cognitive decline, primarily in perceptual speed. These data show that WMHs are associated with decline in perceptual speed rather than episodic or semantic memory and that cognitive change is more vulnerable to WMH accumulations in deep and periventricular regions.
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Affiliation(s)
- Yuanjing Li
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Chengxuan Qiu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden.
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Gustavsson J, Johansson J, Falahati F, Andersson M, Papenberg G, Avelar-Pereira B, Bäckman L, Kalpouzos G, Salami A. The iron-dopamine D1 coupling modulates neural signatures of working memory across adult lifespan. Neuroimage 2023; 279:120323. [PMID: 37582419 DOI: 10.1016/j.neuroimage.2023.120323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 08/09/2023] [Accepted: 08/10/2023] [Indexed: 08/17/2023] Open
Abstract
Brain iron overload and decreased integrity of the dopaminergic system have been independently reported as brain substrates of cognitive decline in aging. Dopamine (DA), and iron are co-localized in high concentrations in the striatum and prefrontal cortex (PFC), but follow opposing age-related trajectories across the lifespan. DA contributes to cellular iron homeostasis and the activation of D1-like DA receptors (D1DR) alleviates oxidative stress-induced inflammatory responses, suggesting a mutual interaction between these two fundamental components. Still, a direct in-vivo study testing the iron-D1DR relationship and their interactions on brain function and cognition across the lifespan is rare. Using PET and MRI data from the DyNAMiC study (n=180, age=20-79, %50 female), we showed that elevated iron content was related to lower D1DRs in DLPFC, but not in striatum, suggesting that dopamine-rich regions are less susceptible to elevated iron. Critically, older individuals with elevated iron and lower D1DR exhibited less frontoparietal activations during the most demanding task, which in turn was related to poorer working-memory performance. Together, our findings suggest that the combination of elevated iron load and reduced D1DR contribute to disturbed PFC-related circuits in older age, and thus may be targeted as two modifiable factors for future intervention.
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Affiliation(s)
- Jonatan Gustavsson
- Aging Research Center, Karolinska Institutet and Stockholm University, Sweden.
| | - Jarkko Johansson
- Faculty of Medicine, Department of Radiation Sciences, Umeå University, Sweden; Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Farshad Falahati
- Aging Research Center, Karolinska Institutet and Stockholm University, Sweden
| | - Micael Andersson
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | - Goran Papenberg
- Aging Research Center, Karolinska Institutet and Stockholm University, Sweden
| | - Bárbara Avelar-Pereira
- Aging Research Center, Karolinska Institutet and Stockholm University, Sweden; Department of Psychiatry and Behavioural Sciences, School of Medicine, Stanford University, Stanford, California 94304, USA
| | - Lars Bäckman
- Aging Research Center, Karolinska Institutet and Stockholm University, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Karolinska Institutet and Stockholm University, Sweden
| | - Alireza Salami
- Aging Research Center, Karolinska Institutet and Stockholm University, Sweden; Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, Umeå, Sweden; Wallenberg Center for Molecular Medicine, Umeå University, Sweden
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4
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Dong Y, Li Y, Liu K, Han X, Liu R, Ren Y, Cong L, Zhang Q, Hou T, Song L, Tang S, Shi L, Luo Y, Kalpouzos G, Laukka EJ, Winblad B, Wang Y, Du Y, Qiu C. Anosmia, mild cognitive impairment, and biomarkers of brain aging in older adults. Alzheimers Dement 2023; 19:589-601. [PMID: 36341691 DOI: 10.1002/alz.12777] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 06/14/2022] [Accepted: 07/21/2022] [Indexed: 11/10/2022]
Abstract
Olfactory impairment is a potential marker for prodromal dementia, but the underlying mechanisms are poorly understood. This population-based study included 4214 dementia-free participants (age ≥65 years). Olfaction was assessed using the 16-item Sniffin' Sticks identification test. In the subsamples, we measured plasma amyloid beta (Aβ)40, Aβ42, total tau, and neurofilament light chain (NfL; n = 1054); and quantified hippocampal, entorhinal cortex, and white matter hyperintensity (WMH) volumes, and Alzheimer's disease (AD)-signature cortical thickness (n = 917). Data were analyzed with logistic and linear regression models. In the total sample, mild cognitive impairment (MCI) was diagnosed in 1102 persons (26.2%; amnestic MCI, n = 931; non-amnestic MCI, n = 171). Olfactory impairment was significantly associated with increased likelihoods of MCI, amnestic MCI, and non-amnestic MCI. In the subsamples, anosmia was significantly associated with higher plasma total tau and NfL concentrations, smaller hippocampal and entorhinal cortex volumes, and greater WMH volume, and marginally with lower AD-signature cortical thickness. These results suggest that cerebral neurodegenerative and microvascular lesions are common neuropathologies linking anosmia with MCI in older adults.
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Affiliation(s)
- Yi Dong
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Yuanjing Li
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Keke Liu
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Xiaolei Han
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Rui Liu
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Yifei Ren
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Qinghua Zhang
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Lin Song
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Shi Tang
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Lin Shi
- BrainNow Research Institute, Shenzhen, China.,Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yishan Luo
- BrainNow Research Institute, Shenzhen, China
| | - Grégoria Kalpouzos
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Bengt Winblad
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
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Li Y, Laukka EJ, Dekhtyar S, Papenberg G, Speh A, Fratiglioni L, Kalpouzos G, Qiu C. Association Between Behavioral, Biological, and Genetic Markers of Cardiovascular Health and MRI Markers of Brain Aging: A Cohort Study. Neurology 2023; 100:e38-e48. [PMID: 36319110 PMCID: PMC9827130 DOI: 10.1212/wnl.0000000000201346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 08/19/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND AND OBJECTIVE The life's simple 7 approach was proposed to define cardiovascular health (CVH) metrics. We sought to investigate the associations between behavioral, biological, and genetic markers for CVH and vascular brain aging in older adults. METHODS This population-based cohort study included participants who had repeated brain MRI measures from 2001 to 2003 to 2007-2010 (i.e., count of perivascular spaces, volumes of white matter hyperintensity [WMH] and gray matter, and lacunes). At baseline, global, behavioral, and biological CVH metrics were defined and scored following the life's simple 7 approach and categorized into unfavorable, intermediate, and favorable profiles according to tertiles. The metabolic genetic risk score was calculated by counting 15 risk alleles associated with hypertension, diabetes, or dyslipidemia. Data were analyzed using linear mixed-effects and Cox proportional hazards models, adjusting for age, sex, and education. RESULTS The study sample consisted of 317 participants (age 60 years or older; 61.8% women). Favorable and intermediate (vs unfavorable) global CVH profiles were related to slower WMH progression, with β-coefficients (95% CI) being -0.019(-0.035-0.002) and -0.018(-0.034-0.001), respectively. Favorable and intermediate (vs unfavorable) biological CVH profiles were significantly related to slower WMH increase only in people aged 60-72 years. CVH profiles were not related to progression of other brain measures. Furthermore, a higher metabolic genetic risk score (range: 6-21) was associated with faster WMH increase (β-coefficient = 0.005; 95% CI: 0.003-0.008). There were statistical interactions of metabolic genetic risk score with global and behavioral CVH profiles on WMH accumulation. A higher metabolic genetic risk score was related to faster WMH accumulation, with β-coefficients being 0.015(0.007-0.023), 0.005(0.001-0.009), and 0.003(-0.001 to 0.006) among people with unfavorable, intermediate, and favorable global CVH profiles, respectively; the corresponding β-coefficients were 0.013(0.006-0.020), 0.006(0.003-0.009), and 0.002(-0.002 to 0.006) among people with unfavorable, intermediate, and favorable behavioral CVH profiles. DISCUSSION Intermediate to favorable global CVH profiles in older adults are associated with slower vascular brain aging. The association of metabolic genetic risk load with accelerated vascular brain aging was evident among people with unfavorable to intermediate, but not favorable, CVH profiles. These findings highlight the importance of adhering to favorable CVH profiles, especially healthy behaviors, in vascular brain health.
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Affiliation(s)
- Yuanjing Li
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Erika J Laukka
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Serhiy Dekhtyar
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Goran Papenberg
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Andreja Speh
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Laura Fratiglioni
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Grégoria Kalpouzos
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Chengxuan Qiu
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia.
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Marseglia A, Kalpouzos G, Laukka EJ, Maddock J, Patalay P, Wang HX, Bäckman L, Westman E, Welmer AK, Dekhtyar S. Social Health and Cognitive Change in Old Age: Role of Brain Reserve. Ann Neurol 2022; 93:844-855. [PMID: 36579809 DOI: 10.1002/ana.26591] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 12/27/2022] [Accepted: 12/27/2022] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Individual aspects of social health (SH; eg, network, engagement, support) have been linked to cognitive health. However, their combined effect and the role of the structural properties of the brain (brain reserve [BR]) remain unclear. We investigated the interplay of SH and BR on cognitive change in older adults. METHODS Within the Swedish National Study on Aging and Care-Kungsholmen, 368 dementia-free adults aged ≥60 years with baseline brain magnetic resonance imaging were followed over 12 years to assess cognitive change. A measure of global cognition was computed at each of the 5 waves of assessment by averaging domain-specific Z scores for episodic memory, perceptual speed, semantic memory, and letter and category fluency. An SH composite score was computed at baseline by combining leisure activities and social network. BR was proxied by total brain tissue volume (TBTV). Linear mixed models (adjusted for sociodemographic, vascular, and genetic factors) were used to estimate cognitive trajectories in relation to SH and TBTV. Interaction analysis and stratification were used to examine the interplay between SH and TBTV. RESULTS Moderate-good SH (n = 245; vs poor, β-slope = 0.01, 95% confidence interval [CI] = 0.002-0.02, p = 0.018) and moderate-to-large TBTV (n = 245; vs small, β-slope = 0.03, 95% CI = 0.02-0.04, p < 0.001) were separately associated with slower cognitive decline. In stratified analysis, moderate-good SH was associated with higher cognitive levels (but not change) only in participants with moderate-to-large TBTV (β-intercept = 0.21, 95% CI = 0.06-0.37, p < 0.01; interaction SH * TBTV, p < 0.05). INTERPRETATION Our findings highlight the interplay between SH and BR that likely unfolds throughout the entire life course to shape old-age cognitive outcomes. ANN NEUROL 2023.
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Affiliation(s)
- Anna Marseglia
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Jane Maddock
- Medical Research Council Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, University College London, London, UK
| | - Praveetha Patalay
- Medical Research Council Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, University College London, London, UK.,Centre for Longitudinal Studies, Social Research Institute, University College London, London, UK
| | - Hui-Xin Wang
- Stress Research Institute, Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University, Stockholm, Sweden
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Anna-Karin Welmer
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden.,Women's Health and Allied Health Professionals Theme, Medical Unit Medical Psychology, Karolinska University Hospital, Stockholm, Sweden.,Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Serhiy Dekhtyar
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University, Stockholm, Sweden
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7
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Grande G, Vetrano DL, Kalpouzos G, Welmer AK, Laukka EJ, Marseglia A, Fratiglioni L, Rizzuto D. Brain Changes and Fast Cognitive and Motor Decline in Older Adults. J Gerontol A Biol Sci Med Sci 2022; 78:326-332. [PMID: 36037020 PMCID: PMC9951062 DOI: 10.1093/gerona/glac177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND To identify brain magnetic resonance imaging (MRI) signatures characterizing people with different patterns of decline in cognition and motor function. METHODS In the Swedish National Study on Aging and Care in Kungsholmen, Stockholm, 385 participants had available repeated brain MRI examinations, where markers of brain volumes and white matter integrity were assessed. The speed of cognitive and motor decline was estimated as the rate of a Mini-Mental State Examination and gait speed decline over 12 years (linear mixed models), and further dichotomized into the upper (25% fastest rate of decline) versus the lower quartiles. Participants were grouped in slow/no decliners (reference), isolated motor decliners, isolated cognitive decliners, and cognitive and motor decliners. We estimated the associations between changes in brain markers (linear mixed models) and baseline diffusion tensor imaging measures (linear regression model) and the 4 decline patterns. RESULTS Individuals with concurrent cognitive and motor decline (n = 51) experienced the greatest loss in the total brain (β: -12.3; 95% confidence interval [CI]: -18.2; -6.38) and hippocampal (β: -0.25; 95% CI: -0.34; -0.16) volumes, the steepest accumulation of white matter hyperintensities (β: 1.61; 95% CI: 0.54; 2.68), and the greatest ventricular enlargement (β: 2.07; 95% CI: 0.67; 3.47). Compared to the reference, those only experiencing cognitive decline presented with steeper hippocampal volume loss, whereas those exhibiting only motor decline displayed a greater white matter hyperintensities burden. Lower microstructural white matter integrity was associated with concurrent cognitive and motor decline. CONCLUSION Concurrent cognitive and motor decline is accompanied by rapidly evolving and complex brain pathology involving both gray and white matter. Isolated cognitive and motor declines seem to exhibit brain damage with different qualitative features.
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Affiliation(s)
- Giulia Grande
- Address correspondence to: Giulia Grande, MD, PhD, Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Tomtebodavägen 18A, 171 65 Solna, Stockholm, Sweden. E-mail:
| | - Davide Liborio Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Anna-Karin Welmer
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden,Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Anna Marseglia
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden,Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden,Stockholm Gerontology Research Center, Stockholm, Sweden
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Gustavsson J, Papenberg G, Falahati F, Laukka EJ, Kalpouzos G. Contributions of the Catechol-O-Methyltransferase Val158Met Polymorphism to Changes in Brain Iron Across Adulthood and Their Relationships to Working Memory. Front Hum Neurosci 2022; 16:838228. [PMID: 35571998 PMCID: PMC9091601 DOI: 10.3389/fnhum.2022.838228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/16/2022] [Indexed: 11/13/2022] Open
Abstract
Ageing is associated with excessive free brain iron, which may induce oxidative stress and neuroinflammation, likely causing cognitive deficits. Lack of dopamine may be a factor behind the increase of iron with advancing age, as it has an important role in cellular iron homoeostasis. We investigated the effect of COMT Val 158 Met (rs4680), a polymorphism crucial for dopamine degradation and proxy for endogenous dopamine, on iron accumulation and working memory in a longitudinal lifespan sample (n = 208, age 20–79 at baseline, mean follow-up time = 2.75 years) using structural equation modelling. Approximation of iron content was assessed using quantitative susceptibility mapping in striatum and dorsolateral prefrontal cortex (DLPFC). Iron accumulated in both striatum and DLPFC during the follow-up period. Greater iron accumulation in DLPFC was associated with more deleterious change in working memory. Older (age 50–79) Val homozygotes (with presumably lower endogenous dopamine) accumulated more iron than older Met carriers in both striatum and DLPFC, no such differences were observed among younger adults (age 20–49). In conclusion, individual differences in genetic predisposition related to low dopamine levels increase iron accumulation, which in turn may trigger deleterious change in working memory. Future studies are needed to better understand how dopamine may modulate iron accumulation across the human lifespan.
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Affiliation(s)
- Jonatan Gustavsson
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- *Correspondence: Jonatan Gustavsson,
| | - Goran Papenberg
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Farshad Falahati
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Erika J. Laukka
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Grégoria Kalpouzos,
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9
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Nordin K, Gorbach T, Pedersen R, Panes Lundmark V, Johansson J, Andersson M, McNulty C, Riklund K, Wåhlin A, Papenberg G, Kalpouzos G, Bäckman L, Salami A. DyNAMiC: A prospective longitudinal study of dopamine and brain connectomes: A new window into cognitive aging. J Neurosci Res 2022; 100:1296-1320. [PMID: 35293013 PMCID: PMC9313590 DOI: 10.1002/jnr.25039] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 01/18/2022] [Accepted: 02/16/2022] [Indexed: 11/07/2022]
Abstract
Concomitant exploration of structural, functional, and neurochemical brain mechanisms underlying age‐related cognitive decline is crucial in promoting healthy aging. Here, we present the DopamiNe, Age, connectoMe, and Cognition (DyNAMiC) project, a multimodal, prospective 5‐year longitudinal study spanning the adult human lifespan. DyNAMiC examines age‐related changes in the brain’s structural and functional connectome in relation to changes in dopamine D1 receptor availability (D1DR), and their associations to cognitive decline. Critically, due to the complete lack of longitudinal D1DR data, the true trajectory of one of the most age‐sensitive dopamine systems remains unknown. The first DyNAMiC wave included 180 healthy participants (20–80 years). Brain imaging included magnetic resonance imaging assessing brain structure (white matter, gray matter, iron), perfusion, and function (during rest and task), and positron emission tomography (PET) with the [11C]SCH23390 radioligand. A subsample (n = 20, >65 years) was additionally scanned with [11C]raclopride PET measuring D2DR. Age‐related variation was evident for multiple modalities, such as D1DR; D2DR, and performance across the domains of episodic memory, working memory, and perceptual speed. Initial analyses demonstrated an inverted u‐shaped association between D1DR and resting‐state functional connectivity across cortical network nodes, such that regions with intermediate D1DR levels showed the highest levels of nodal strength. Evident within each age group, this is the first observation of such an association across the adult lifespan, suggesting that emergent functional architecture depends on underlying D1DR systems. Taken together, DyNAMiC is the largest D1DR study worldwide, and will enable a comprehensive examination of brain mechanisms underlying age‐related cognitive decline.
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Affiliation(s)
- Kristin Nordin
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden.,Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Tetiana Gorbach
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden.,Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden.,Umeå School of Business, Economics and Statistics, Umeå University, Umeå, Sweden
| | - Robin Pedersen
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden.,Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Vania Panes Lundmark
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | - Jarkko Johansson
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden.,Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Micael Andersson
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | - Charlotte McNulty
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden.,Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Katrine Riklund
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Anders Wåhlin
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Goran Papenberg
- Aging Research Center, Karolinska Institutet & Stockholm University, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Karolinska Institutet & Stockholm University, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Karolinska Institutet & Stockholm University, Stockholm, Sweden
| | - Alireza Salami
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden.,Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden.,Aging Research Center, Karolinska Institutet & Stockholm University, Stockholm, Sweden
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10
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Li Y, Kalpouzos G, Laukka EJ, Dekhtyar S, Bäckman L, Fratiglioni L, Qiu C. Progression of neuroimaging markers of cerebral small vessel disease in older adults: a 6-year follow-up study. Neurobiol Aging 2022; 112:204-211. [DOI: 10.1016/j.neurobiolaging.2022.01.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 12/29/2021] [Accepted: 01/22/2022] [Indexed: 12/18/2022]
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11
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Heiland EG, Welmer AK, Kalpouzos G, Laveskog A, Wang R, Qiu C. Cerebral small vessel disease, cardiovascular risk factors, and future walking speed in old age: a population-based cohort study. BMC Neurol 2021; 21:496. [PMID: 34949170 PMCID: PMC8705459 DOI: 10.1186/s12883-021-02529-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 12/13/2021] [Indexed: 11/10/2022] Open
Abstract
Background The purpose of this study was to examine the associations between combined and individual cerebral small vessel disease (cSVD) markers on future walking speed over 9 years; and to explore whether these associations varied by the presence of cardiovascular risk factors (CRFs). Methods This population-based cohort study included 331 adults, aged ≥60 years, without limitation in walking speed (≥0.8 m/s). At baseline, cSVD markers, including white matter hyperintensities (WMH), lacunes, and perivascular spaces (PVS), were assessed on magnetic resonance imaging. The modifiable CRFs (physical inactivity, heavy alcohol consumption, smoking, hypertension, high total cholesterol, diabetes, and overweight/obese) were combined into a score. The association between baseline cSVD markers and the decline in walking speed was examined using linear mixed-effects models, whereas Cox proportional hazards models were used to estimate the association with walking speed limitation (defined as < 0.8 m/s) over the follow-up. Results Over the follow-up period, 76 (23.0%) persons developed walking speed limitation. Participants in the highest tertile of the combined cSVD marker score had a hazard ratio (HR) of 3.78 (95% confidence interval [CI] 1.70-8.45) for walking speed limitation compared with people in the lowest score tertile, even after adjusting for socio-demographics, CRFs, cognitive function, and chronic conditions. When investigating the cSVD markers individually, having the highest burden of WMH was associated with a significantly faster decline in walking speed (β coefficient − 0.020; 95% CI -0.035-0.004) and a greater HR of walking speed limitation (HR 2.78; 95% CI 1.31-5.89) compared with having the lowest WMH burden. Similar results were obtained for the highest tertile of PVS (HR 2.13; 95% CI 1.04-4.36). Lacunes were associated with walking speed limitation, but only in men. Having ≥4 CRFs and high WMH volume simultaneously, showed a greater risk of walking speed limitation compared with having ≥4 CRFs and low WMH burden. CRFs did not modify the associations between lacunes or PVS and walking speed. Conclusions Combined cSVD markers strongly predict walking speed limitation in healthy older adults, independent of cognitive function, with WMH and PVS being the strongest contributors. Improving cardiovascular health may help to mitigate the negative effects of WMH on future walking speed. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02529-6.
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Affiliation(s)
- Emerald G Heiland
- Department of Surgical Sciences, Medical Epidemiology, Uppsala University, Dag Hammarskjölds väg 14B, 75 185, Uppsala, Sweden. .,Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Widerströmska Huset, Tomtebodavägen 18A, 171 65, Solna, Sweden. .,Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences (GIH), Lidingövägen 1, 114 86, Stockholm, Sweden.
| | - Anna-Karin Welmer
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Widerströmska Huset, Tomtebodavägen 18A, 171 65, Solna, Sweden.,Stockholm Gerontology Research Center, Sveavägen 155, 113 46, Stockholm, Sweden.,Women's Health and Allied Health Professionals Theme, Medical Unit Medical Psychology, Karolinska University Hospital, Stockholm, Sweden.,Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Alfred Nobels allé 23, 141 83, Huddinge, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Widerströmska Huset, Tomtebodavägen 18A, 171 65, Solna, Sweden
| | - Anna Laveskog
- Division of Neuro, Department of Clinical Neuroscience, Karolinska Institutet, Tomtebodavägen 18A, 171 65, Solna, Sweden.,Department of Neuroradiology, Karolinska University Hospital, Eugeniavägen 3, 171 76, Solna, Sweden
| | - Rui Wang
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Widerströmska Huset, Tomtebodavägen 18A, 171 65, Solna, Sweden.,Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences (GIH), Lidingövägen 1, 114 86, Stockholm, Sweden
| | - Chengxuan Qiu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Widerströmska Huset, Tomtebodavägen 18A, 171 65, Solna, Sweden.
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12
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Gallo F, Kalpouzos G, Laukka EJ, Wang R, Qiu C, Bäckman L, Marseglia A, Fratiglioni L, Dekhtyar S. Cognitive Trajectories and Dementia Risk: A Comparison of Two Cognitive Reserve Measures. Front Aging Neurosci 2021; 13:737736. [PMID: 34512313 PMCID: PMC8424183 DOI: 10.3389/fnagi.2021.737736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 07/26/2021] [Indexed: 11/13/2022] Open
Abstract
Background and Objectives Cognitive reserve (CR) is meant to account for the mismatch between brain damage and cognitive decline or dementia. Generally, CR has been operationalized using proxy variables indicating exposure to enriching activities (activity-based CR). An alternative approach defines CR as residual variance in cognition, not explained by the brain status (residual-based CR). The aim of this study is to compare activity-based and residual-based CR measures in their association with cognitive trajectories and dementia. Furthermore, we seek to examine if the two measures modify the impact of brain integrity on cognitive trajectories and if they predict dementia incidence independent of brain status. Methods We used data on 430 older adults aged 60+ from the Swedish National Study on Aging and Care in Kungsholmen, followed for 12 years. Residual-based reserve was computed from a regression predicting episodic memory with a brain-integrity index incorporating six structural neuroimaging markers (white-matter hyperintensities volume, whole-brain gray matter volume, hippocampal volume, lateral ventricular volume, lacunes, and perivascular spaces), age, and sex. Activity-based reserve incorporated education, work complexity, social network, and leisure activities. Cognition was assessed with a composite of perceptual speed, semantic memory, letter-, and category fluency. Dementia was clinically diagnosed in accordance with DSM-IV criteria. Linear mixed models were used for cognitive change analyses. Interactions tested if reserve measures modified the association between brain-integrity and cognitive change. Cox proportional hazard models, adjusted for brain-integrity index, assessed dementia risk. Results Both reserve measures were associated with cognitive trajectories [β × time (top tertile, ref.: bottom tertile) = 0.013; 95% CI: –0.126, –0.004 (residual-based) and 0.011; 95% CI: –0.001, 0.024, (activity-based)]. Residual-based, but not activity-based reserve mitigated the impact of brain integrity on cognitive decline [β (top tertile × time × brain integrity) = –0.021; 95% CI: –0.043, 0.001] and predicted 12-year dementia incidence, after accounting for the brain-integrity status [HR (top tertile) = 0.23; 95% CI: 0.09, 0.58]. Interpretation The operationalization of reserve based on residual cognitive performance may represent a more direct measure of CR than an activity-based approach. Ultimately, the two models of CR serve largely different aims. Accounting for brain integrity is essential in any model of reserve.
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Affiliation(s)
- Federico Gallo
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia.,Centre for Neurolinguistics and Psycholinguistics, Vita-Salute San Raffaele University, Milan, Italy
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Rui Wang
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,The Swedish School of Sport and Health Sciences, GIH, Stockholm, Sweden.,Department of Medicine and Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Chengxuan Qiu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Anna Marseglia
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Serhiy Dekhtyar
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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Müller T, Payton NM, Kalpouzos G, Jessen F, Grande G, Bäckman L, Laukka EJ. Cognitive, Genetic, Brain Volume, and Diffusion Tensor Imaging Markers as Early Indicators of Dementia. J Alzheimers Dis 2021; 77:1443-1453. [PMID: 32925047 PMCID: PMC7683082 DOI: 10.3233/jad-200445] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Background: Although associated with dementia and cognitive impairment, microstructural white matter integrity is a rarely used marker of preclinical dementia. Objective: We aimed to evaluate the individual and combined effects of multiple markers, with special focus on microstructural white matter integrity, in detecting individuals with increased dementia risk. Methods: A dementia-free subsample (n = 212, mean age = 71.33 years) included in the population-based Swedish National Study on Aging and Care (SNAC-K) underwent magnetic resonance imaging (T1-weighted, fluid-attenuated inversion recovery, diffusion tensor imaging), neuropsychological testing (perceptual speed, episodic memory, semantic memory, letter and category fluency), and genotyping (APOE). Incident dementia was assessed during six years of follow-up. Results: A global model (global cognition, APOE, total brain tissue volume: AUC = 0.920) rendered the highest predictive value for future dementia. Of the models based on specific markers, white matter integrity of the forceps major tract was included in the most predictive model, in combination with perceptual speed and hippocampal volume (AUC = 0.911). Conclusion: Assessment of microstructural white matter integrity may improve the early detection of dementia, although the added benefit in this study was relatively small.
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Affiliation(s)
- Theresa Müller
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,University of Cologne, Faculty of Medicine and University Hospital Cologne, Germany
| | - Nicola M Payton
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Frank Jessen
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Giulia Grande
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
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Kalpouzos G, Mangialasche F, Falahati F, Laukka EJ, Papenberg G. Contributions of HFE polymorphisms to brain and blood iron load, and their links to cognitive and motor function in healthy adults. Neuropsychopharmacol Rep 2021; 41:393-404. [PMID: 34291615 PMCID: PMC8411306 DOI: 10.1002/npr2.12197] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 07/06/2021] [Accepted: 07/08/2021] [Indexed: 12/14/2022] Open
Abstract
Background Brain iron overload is linked to brain deterioration, and cognitive and motor impairment in neurodegenerative disorders and normal aging. Mutations in the HFE gene are associated with iron dyshomeostasis and are risk factors for peripheral iron overload. However, links to brain iron load and cognition are less consistent and data are scarce. Aims and methods Using quantitative susceptibility mapping with magnetic resonance imaging, we investigated whether C282Y and H63D contributed to aging‐related increases in brain iron load and lower cognitive and motor performance in 208 healthy individuals aged 20‐79 years. We also assessed the modulatory effects of HFE mutations on associations between performance and brain iron load, as well as peripheral iron metabolism. Results Independent of age, carriers of either C282Y and/or H63D (HFE‐pos group, n = 66) showed a higher load of iron in putamen than non‐carriers (HFE‐neg group, n = 142), as well as higher transferrin saturation and lower transferrin and transferrin receptors in blood. In the HFE‐neg group, higher putaminal iron was associated with lower working memory. In the HFE‐pos group, higher putaminal iron was instead linked to higher executive function, and lower plasma transferrin was related to higher episodic memory. Iron‐performance associations were modest albeit reliable. Conclusion Our findings suggest that HFE status is characterized by higher regional brain iron load across adulthood, and support the presence of a modulatory effect of HFE status on the relationships between iron load and cognition. Future studies in healthy individuals are needed to confirm the reported patterns. This study investigated the contribution of genetic polymorphisms in the HFE gene (C282Y and H63D) on blood and brain iron load, and their relationships with cognition, in a healthy sample of adults. The findings indicated that carriers of C282Y and/or H63D displayed higher iron load in putamen and higher transferrin saturation in blood. Results further suggested that in carriers, higher iron load may be beneficial for cognitive performance, independent of age.![]()
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Affiliation(s)
- Grégoria Kalpouzos
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Francesca Mangialasche
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
| | - Farshad Falahati
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Erika J Laukka
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Goran Papenberg
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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Ding M, Wang R, Kalpouzos G, Laukka EJ, Li Y, Johnell K, Fratiglioni L, Qiu C. Cerebral Small Vessel Disease Associated With Atrial Fibrillation Among Older Adults: A Population-Based Study. Stroke 2021; 52:2685-2689. [PMID: 34134506 DOI: 10.1161/strokeaha.120.031573] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Mozhu Ding
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (M.D., R.W., G.K., E.J.L., Y.L., L.F., C.Q.), Karolinska Institutet, Stockholm University, Sweden
| | - Rui Wang
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (M.D., R.W., G.K., E.J.L., Y.L., L.F., C.Q.), Karolinska Institutet, Stockholm University, Sweden.,The Swedish School of Sport and Health Sciences, GIH, Stockholm, Sweden (R.W.).,Department of Medicine and Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison (R.W.)
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (M.D., R.W., G.K., E.J.L., Y.L., L.F., C.Q.), Karolinska Institutet, Stockholm University, Sweden
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (M.D., R.W., G.K., E.J.L., Y.L., L.F., C.Q.), Karolinska Institutet, Stockholm University, Sweden.,Stockholm Gerontology Research Center, Sweden (E.J.L., L.F.)
| | - Yuanjing Li
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (M.D., R.W., G.K., E.J.L., Y.L., L.F., C.Q.), Karolinska Institutet, Stockholm University, Sweden
| | - Kristina Johnell
- Department of Medical Epidemiology and Biostatistics (K.J.), Karolinska Institutet, Stockholm University, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (M.D., R.W., G.K., E.J.L., Y.L., L.F., C.Q.), Karolinska Institutet, Stockholm University, Sweden.,Stockholm Gerontology Research Center, Sweden (E.J.L., L.F.)
| | - Chengxuan Qiu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (M.D., R.W., G.K., E.J.L., Y.L., L.F., C.Q.), Karolinska Institutet, Stockholm University, Sweden
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16
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Li Y, Cong L, Hou T, Chang L, Zhang C, Tang S, Han X, Wang Y, Wang X, Kalpouzos G, Du Y, Qiu C. Characterizing Global and Regional Brain Structures in Amnestic Mild Cognitive Impairment Among Rural Residents: A Population-Based Study. J Alzheimers Dis 2021; 80:1429-1438. [PMID: 33682713 DOI: 10.3233/jad-201372] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Structural brain magnetic resonance imaging (MRI) scans may provide reliable neuroimaging markers for defining amnestic mild cognitive impairment (aMCI). Objective: We sought to characterize global and regional brain structures of aMCI among rural-dwelling older adults with limited education in China. Methods: This population-based study included 180 participants (aged≥65 years, 42 with aMCI and 138 normal controls) in the Shandong Yanggu Study of Aging and Dementia during 2014–2016. We defined aMCI following the Petersen’s criteria. Global and regional brain volumes were automatically segmented on MRI scans and compared using a region-of-interest approach. Data were analyzed using general linear regression models. Results: Multi-adjusted β-coefficient (95% confidence interval) of brain volumes (cm3) associated with aMCI was –12.07 (–21.49, –2.64) for global grey matter (GM), –18.31 (–28.45, –8.17) for global white matter (WM), 28.17 (12.83, 44.07) for cerebrospinal fluid (CSF), and 2.20 (0.24, 4.16) for white matter hyperintensities (WMH). Furthermore, aMCI was significantly associated with lower GM volumes in bilateral superior temporal gyri, thalamus and right cuneus, and lower WM volumes in lateral areas extending from the frontal to the parietal, temporal, and occipital lobes, as well as right hippocampus (p < 0.05). Conclusion: Brain structure of older adults with aMCI is characterized by reduced global GM and WM volumes, enlarged CSF volume, increased WMH burden, reduced GM volumes in bilateral superior temporal gyri, thalamus, and right cuneus, and widespread reductions of lateral WM volumes.
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Affiliation(s)
- Yuanjing Li
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Liguo Chang
- Liaocheng Third People’s Hospital, Liaocheng, Shandong, P. R. China
| | - Chuanchen Zhang
- Department of Medical Imaging, Liaocheng People’s Hospital and Department of Medical Imaging, Liaocheng Brain Hospital, Liaocheng, Shandong, P. R. China
| | - Shi Tang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Xiaolei Han
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Xiang Wang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Grégoria Kalpouzos
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
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17
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Salami A, Papenberg G, Sitnikov R, Laukka EJ, Persson J, Kalpouzos G. Elevated neuroinflammation contributes to the deleterious impact of iron overload on brain function in aging. Neuroimage 2021; 230:117792. [PMID: 33497770 DOI: 10.1016/j.neuroimage.2021.117792] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 12/04/2020] [Accepted: 01/16/2021] [Indexed: 01/24/2023] Open
Abstract
Intracellular iron is essential for many neurobiological mechanisms. However, at high concentrations, iron may induce oxidative stress and inflammation. Brain iron overload has been shown in various neurodegenerative disorders and in normal aging. Elevated brain iron in old age may trigger brain dysfunction and concomitant cognitive decline. However, the exact mechanism underlying the deleterious impact of iron on brain function in aging is unknown. Here, we investigated the role of iron on brain function across the adult lifespan from 187 healthy participants (20-79 years old, 99 women) who underwent fMRI scanning while performing a working-memory n-back task. Iron content was quantified using R2* relaxometry, whereas neuroinflammation was estimated using myo-inositol measured by magnetic resonance spectroscopy. Striatal iron increased non-linearly with age, with linear increases at both ends of adulthood. Whereas higher frontostriatal activity was related to better memory performance independent of age, the link between brain activity and iron differed across age groups. Higher striatal iron was linked to greater frontostriatal activity in younger, but reduced activity in older adults. Further mediation analysis revealed that, after age 40, iron provided unique and shared contributions with neuroinflammation to brain activations, such that neuroinflammation partly mediated brain-iron associations. These findings promote a novel mechanistic understanding of how iron may exert deleterious effects on brain function and cognition with advancing age.
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Affiliation(s)
- Alireza Salami
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, Umeå, Sweden; Wallenberg Center for Molecular Medicine, Umeå University, Umeå, Sweden.
| | - Goran Papenberg
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Rouslan Sitnikov
- MRI Research Center, Karolinska University Hospital, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Jonas Persson
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden; School of Law, Psychology and Social Work, Örebro University, Örebro, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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18
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Marseglia A, Darin‐Mattsson A, Kalpouzos G, Grande G, Fratiglioni L, Dekhtyar S, Xu W. Can active life mitigate the impact of diabetes on dementia and brain aging? Alzheimers Dement 2020; 16:1534-1543. [DOI: 10.1002/alz.12142] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 06/10/2020] [Indexed: 01/02/2023]
Affiliation(s)
- Anna Marseglia
- Department of Neurobiology Aging Research Center Care Sciences and Society Karolinska Institutet and Stockholm University Stockholm Sweden
| | - Alexander Darin‐Mattsson
- Department of Neurobiology Aging Research Center Care Sciences and Society Karolinska Institutet and Stockholm University Stockholm Sweden
| | - Grégoria Kalpouzos
- Department of Neurobiology Aging Research Center Care Sciences and Society Karolinska Institutet and Stockholm University Stockholm Sweden
| | - Giulia Grande
- Department of Neurobiology Aging Research Center Care Sciences and Society Karolinska Institutet and Stockholm University Stockholm Sweden
| | - Laura Fratiglioni
- Department of Neurobiology Aging Research Center Care Sciences and Society Karolinska Institutet and Stockholm University Stockholm Sweden
- Stockholm Gerontology Research Center Stockholm Sweden
| | - Serhiy Dekhtyar
- Department of Neurobiology Aging Research Center Care Sciences and Society Karolinska Institutet and Stockholm University Stockholm Sweden
| | - Weili Xu
- Department of Neurobiology Aging Research Center Care Sciences and Society Karolinska Institutet and Stockholm University Stockholm Sweden
- Department of Epidemiology and Biostatistics School of Public Health Tianjin Medical University Tianjin China
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19
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Seubert J, Kalpouzos G, Larsson M, Hummel T, Bäckman L, Laukka EJ. Temporolimbic cortical volume is associated with semantic odor memory performance in aging. Neuroimage 2020; 211:116600. [PMID: 32018003 DOI: 10.1016/j.neuroimage.2020.116600] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 01/10/2020] [Accepted: 01/31/2020] [Indexed: 12/30/2022] Open
Abstract
Olfactory function, and specifically semantic olfactory memory (i.e., odor identification), has frequently been shown to predict cognitive functioning across multiple domains in old age. This observation suggests that olfactory function can serve as a marker for the integrity of temporolimbic cortical networks, but a clear delineation of this association is still missing. To address this issue, the present study employed voxel-based morphometry in a region of interest-based design to determine the extent to which gray matter volumes of core olfactory and memory areas are associated with olfactory memory performance in an aging population free from neurodegenerative disease. We further aimed to determine potential overlap in structural anatomical correlates, and differences in association strength, for semantic and episodic olfactory memory. Structural magnetic resonance imaging (MRI), episodic and semantic odor memory and episodic and semantic verbal memory data were collected in 422 participants from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K), all aged ≥ 60 years. Controlling for age and education, semantic, but not episodic, olfactory memory was positively related to gray matter volume in a cluster extending from the anterior hippocampus and amygdala into the posterior piriform cortex. The observed associations remained even when verbal memory performance was controlled for, supporting a link between the olfactory memory domain and cortical volume over and above more generalized memory abilities. As such, our data provide evidence for distinct functional-structural associations for semantic odor memory, supporting the idea of temporolimbic integrity as a neurobiological substrate linking olfactory function to cognitive health in old age.
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Affiliation(s)
- Janina Seubert
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Department of Clinical Neuroscience, Psychology Division, Karolinska Institutet, Stockholm, Sweden.
| | - Grégoria Kalpouzos
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Maria Larsson
- Gösta Ekman's Laboratory, Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Thomas Hummel
- Department of Otorhinolaryngology, TU Dresden, Dresden, Germany
| | - Lars Bäckman
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Erika J Laukka
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
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20
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Becker N, Kalpouzos G, Salami A, Laukka EJ, Brehmer Y. Structure-function associations of successful associative encoding. Neuroimage 2019; 201:116020. [DOI: 10.1016/j.neuroimage.2019.116020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 07/07/2019] [Accepted: 07/12/2019] [Indexed: 11/25/2022] Open
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21
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Hooshmand B, Refsum H, Smith AD, Kalpouzos G, Mangialasche F, von Arnim CAF, Kåreholt I, Kivipelto M, Fratiglioni L. Association of Methionine to Homocysteine Status With Brain Magnetic Resonance Imaging Measures and Risk of Dementia. JAMA Psychiatry 2019; 76:1198-1205. [PMID: 31339527 PMCID: PMC6659152 DOI: 10.1001/jamapsychiatry.2019.1694] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
IMPORTANCE Impairment of methylation status (ie, methionine to homocysteine ratio) may be a modifiable risk factor for structural brain changes and incident dementia. OBJECTIVE To investigate the association of serum markers of methylation status and sulfur amino acids with risk of incident dementia, Alzheimer disease (AD), and the rate of total brain tissue volume loss during 6 years. DESIGN, SETTING, AND PARTICIPANTS This population-based longitudinal study was performed from March 21, 2001, to October 10, 2010, in a sample of 2570 individuals aged 60 to 102 years from the Swedish Study on Aging and Care in Kungsholmen who were dementia free at baseline and underwent comprehensive examinations and structural brain magnetic resonance imaging (MRI) on 2 to 3 occasions during 6 years. Data analysis was performed from March 1, 2018, to October 1, 2018. MAIN OUTCOMES AND MEASURES Incident dementia, AD, and the rate of total brain volume loss. RESULTS This study included 2570 individuals (mean [SD] age, 73.1 [10.4] years; 1331 [56.5%] female). The methionine to homocysteine ratio was higher in individuals who consumed vitamin supplements (median, 1.9; interquartile range [IQR], 1.5-2.6) compared with those who did not (median, 1.8; IQR, 1.3-2.3; P < .001) and increased per each quartile increase of vitamin B12 or folate. In the multiadjusted model, an elevated baseline serum total homocysteine level was associated with an increased risk of dementia and AD during 6 years: for the highest homocysteine quartile compared with the lowest, the hazard ratios (HRs) were 1.60 (95% CI, 1.01-2.55) for dementia and 2.33 (95% CI, 1.26-4.30) for AD. In contrast, elevated concentrations of methionine were associated with a decreased risk of dementia (HR, 0.54; 95% CI, 0.36-0.81) for the highest quartile compared with the lowest. Higher values of the methionine to homocysteine ratio were significantly associated with lower risk of dementia and AD: for the fourth methionine-homocysteine quartile compared with the first quartile, the HR was 0.44 (95% CI, 0.27-0.71) for incident dementia and 0.43 (95% CI, 0.23-0.80) for AD. In the multiadjusted linear mixed models, a higher methionine to homocysteine ratio was associated with a decreased rate of total brain tissue volume loss during the study period (β [SE] per 1-SD increase, 0.038 [0.014]; P = .007). CONCLUSIONS AND RELEVANCE The methionine to homocysteine status was associated with dementia development and structural brain changes during the 6-year study period, suggesting that a higher methionine to homocysteine ratio may be important in reducing the rate of brain atrophy and decreasing the risk of dementia in older adults.
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Affiliation(s)
- Babak Hooshmand
- Aging Research Center, Karolinska Institute, Stockholm, Sweden,Department of Neurology, Ulm University Hospital, Ulm, Germany
| | - Helga Refsum
- Department of Pharmacology, University of Oxford, Oxford, United Kingdom,Institute of Nutrition, University of Oslo, Oslo, Norway
| | - A. David Smith
- Department of Pharmacology, University of Oxford, Oxford, United Kingdom
| | | | | | | | | | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden,Theme Aging, Karolinska University Hospital, Stockholm, Sweden,Stockholms Sjukhem, Research & Development Unit, Stockholm, Sweden,Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College London, London, United Kingdom,Department of Neurology, University of Eastern Finland, Kuopio, Finland
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22
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Smailovic U, Koenig T, Laukka EJ, Kalpouzos G, Andersson T, Winblad B, Jelic V. EEG time signature in Alzheimer´s disease: Functional brain networks falling apart. Neuroimage Clin 2019; 24:102046. [PMID: 31795039 PMCID: PMC6909352 DOI: 10.1016/j.nicl.2019.102046] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Revised: 10/02/2019] [Accepted: 10/17/2019] [Indexed: 11/21/2022]
Abstract
EEG microstate topographies differ between controls and memory clinic patients. Microstate parameters differ in a gradient-like manner in SCD, MCI and AD patients. Changes in topography of microstate class C correlate with CSF Aβ42 levels. Changes in topography of microstate class B correlate with CSF p-tau levels. EEG microstates detect early disruption of neurocognitive networks in AD.
Spontaneous mental activity is characterized by dynamic alterations of discrete and stabile brain states called functional microstates that are thought to represent distinct steps of human information processing. Electroencephalography (EEG) directly reflects functioning of brain synapses with a uniquely high temporal resolution, necessary for investigation of brain network dynamics. Since synaptic dysfunction is an early event and best correlate of cognitive status and decline in patients along Alzheimer's disease (AD) continuum, EEG microstates might serve as valuable early markers of AD. The present study investigated differences in EEG microstate topographies and parameters (duration, occurrence and contribution) between a large cohort of healthy elderly (n = 308) and memory clinic patients: subjective cognitive decline (SCD, n = 210); mild cognitive impairment (MCI, n = 230) and AD (n = 197) and how they correlate to conventional cerebrospinal fluid (CSF) markers of AD. Four most representative microstate maps assigned as classes A, B (asymmetrical), C and D (symmetrical) were computed from the resting state EEGs since it has been shown previously that this is sufficient to explain most of the resting state EEG data. Statistically different topography of microstate maps were found between the controls and the patient groups for microstate classes A, C and D. Changes in the topography of microstate class C were associated with the CSF Aβ42 levels, whereas changes in the topography of class B were linked with the CSF p-tau levels. Gradient-like increase in the contribution of asymmetrical (A and B) and gradient-like decrease in the contribution of symmetrical (C and D) maps were observed with the more severe stage of cognitive impairment. Our study demonstrated extensive relationship of resting state EEG microstates topographies and parameters with the stage of cognitive impairment and AD biomarkers. Resting state EEG microstates might therefore serve as functional markers of early disruption of neurocognitive networks in patients along AD continuum.
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Affiliation(s)
- Una Smailovic
- Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Huddinge, Sweden.
| | - Thomas Koenig
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Erika J Laukka
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institute and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institute and Stockholm University, Stockholm, Sweden
| | - Thomas Andersson
- Department of Clinical Neurophysiology, Karolinska University Hospital, Huddinge, Sweden
| | - Bengt Winblad
- Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Solna, Sweden and Karolinska University Hospital, Department of Geriatrics, Huddinge, Sweden
| | - Vesna Jelic
- Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics and Karolinska University Hospital, Memory Clinic, Huddinge, Sweden
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23
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Payton NM, Kalpouzos G, Rizzuto D, Fratiglioni L, Kivipelto M, Bäckman L, Laukka EJ. Combining Cognitive, Genetic, and Structural Neuroimaging Markers to Identify Individuals with Increased Dementia Risk. J Alzheimers Dis 2019; 64:533-542. [PMID: 29889068 PMCID: PMC6027943 DOI: 10.3233/jad-180199] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background: Cognitive and biological markers have shown varying degrees of success in identifying persons who will develop dementia. Objective: To evaluate different combinations of cognitive and biological markers and identify prediction models with the highest accuracy for identifying persons with increased dementia risk. Methods: Neuropsychological assessment, genetic testing (apolipoprotein E –APOE), and structural magnetic resonance imaging (MRI) were performed for 418 older individuals without dementia (60–97 years) from a population-based study (SNAC-K). Participants were followed for six years. Results: Cognitive, genetic, and MRI markers were systematically combined to create prediction models for dementia at six years. The most predictive individual markers were perceptual speed or carrying at least one APOEɛ4 allele (AUC = 0.875). The most predictive model (AUC = 0.924) included variables from all three modalities (category fluency, general knowledge, any ɛ4 allele, hippocampal volume, white matter-hyperintensity volume). Conclusion: This study shows that combining markers within and between modalities leads to increased predictivity for future dementia. However, minor increases in predictive value should be weighed against the cost of additional tests in larger-scale screening.
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Affiliation(s)
- Nicola M Payton
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Stockholms Sjukhem, Research and Development Unit, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
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24
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Wang R, Laveskog A, Laukka EJ, Kalpouzos G, Bäckman L, Fratiglioni L, Qiu C. MRI load of cerebral microvascular lesions and neurodegeneration, cognitive decline, and dementia. Neurology 2018; 91:e1487-e1497. [PMID: 30232255 PMCID: PMC6202944 DOI: 10.1212/wnl.0000000000006355] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 07/12/2018] [Indexed: 12/03/2022] Open
Abstract
Objective To explore the differential associations of neurodegeneration and microvascular lesion load with cognitive decline and dementia in older people and the modifying effect of the APOE genotype on these associations. Methods A sample of 436 participants (age ≥ 60 years) was derived from the population-based Swedish National study on Aging and Care in Kungsholmen, Stockholm, and clinically examined at baseline (2001–2003) and 3 occasions during the 9-year follow-up. At baseline, we assessed microvascular lesion load using a summary score for MRI markers of lacunes, white matter hyperintensities (WMHs), and perivascular spaces and neurodegeneration load for markers of enlarged ventricles, smaller hippocampus, and smaller gray matter. We assessed cognitive function using the Mini-Mental State Examination (MMSE) test and diagnosed dementia following the Diagnostic and Statistical Manual of Mental Disorders, 4th edition criteria. We analyzed data using linear mixed-effects, mediation, and random-effects Cox models. Results During the follow-up, 46 participants were diagnosed with dementia. Per 1-point increase in microvascular lesion and neurodegeneration score (range 0–3) was associated with multiple adjusted β-coefficients of −0.35 (95% confidence interval, −0.51 to −0.20) and −0.44 (−0.56 to −0.32), respectively, for the MMSE score and multiple adjusted hazard ratios of 1.68 (1.12–2.51) and 2.35 (1.58–3.52), respectively, for dementia; carrying APOE ε4 reinforced the associations with MMSE decline. WMH volume changes during the follow-up mediated 66.9% and 12.7% of the total association of MMSE decline with the baseline microvascular score and neurodegeneration score, respectively. Conclusions Both cerebral microvascular lesion and neurodegeneration loads are strongly associated with cognitive decline and dementia. The cognitive decline due to microvascular lesions is exacerbated by APOE ε4 and is largely attributed to progression and development of microvascular lesions.
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Affiliation(s)
- Rui Wang
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden.
| | - Anna Laveskog
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden
| | - Erika J Laukka
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden
| | - Grégoria Kalpouzos
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden
| | - Lars Bäckman
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden
| | - Laura Fratiglioni
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden
| | - Chengxuan Qiu
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden.
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Khan W, Giampietro V, Banaschewski T, Barker GJ, Bokde ALW, Büchel C, Conrod P, Flor H, Frouin V, Garavan H, Gowland P, Heinz A, Ittermann B, Lemaître H, Nees F, Paus T, Pausova Z, Rietschel M, Smolka MN, Ströhle A, Gallinat J, Vellas B, Soininen H, Kloszewska I, Tsolaki M, Mecocci P, Spenger C, Villemagne VL, Masters CL, Muehlboeck JS, Bäckman L, Fratiglioni L, Kalpouzos G, Wahlund LO, Schumann G, Lovestone S, Williams SCR, Westman E, Simmons A. A Multi-Cohort Study of ApoE ɛ4 and Amyloid-β Effects on the Hippocampus in Alzheimer's Disease. J Alzheimers Dis 2018; 56:1159-1174. [PMID: 28157104 PMCID: PMC5302035 DOI: 10.3233/jad-161097] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
The apolipoprotein E (APOE) gene has been consistently shown to modulate the risk of Alzheimer’s disease (AD). Here, using an AD and normal aging dataset primarily consisting of three AD multi-center studies (n = 1,781), we compared the effect of APOE and amyloid-β (Aβ) on baseline hippocampal volumes in AD patients, mild cognitive impairment (MCI) subjects, and healthy controls. A large sample of healthy adolescents (n = 1,387) was also used to compare hippocampal volumes between APOE groups. Subjects had undergone a magnetic resonance imaging (MRI) scan and APOE genotyping. Hippocampal volumes were processed using FreeSurfer. In the AD and normal aging dataset, hippocampal comparisons were performed in each APOE group and in ɛ4 carriers with positron emission tomography (PET) Aβ who were dichotomized (Aβ+/Aβ–) using previous cut-offs. We found a linear reduction in hippocampal volumes with ɛ4 carriers possessing the smallest volumes, ɛ3 carriers possessing intermediate volumes, and ɛ2 carriers possessing the largest volumes. Moreover, AD and MCI ɛ4 carriers possessed the smallest hippocampal volumes and control ɛ2 carriers possessed the largest hippocampal volumes. Subjects with both APOE ɛ4 and Aβ positivity had the lowest hippocampal volumes when compared to Aβ- ɛ4 carriers, suggesting a synergistic relationship between APOE ɛ4 and Aβ. However, we found no hippocampal volume differences between APOE groups in healthy 14-year-old adolescents. Our findings suggest that the strongest neuroanatomic effect of APOE ɛ4 on the hippocampus is observed in AD and groups most at risk of developing the disease, whereas hippocampi of old and young healthy individuals remain unaffected.
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Affiliation(s)
- Wasim Khan
- King's College London, Institute of Psychiatry, London, UK.,NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK.,NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
| | | | - Tobias Banaschewski
- Central Institute of Mental Health, Mannheim, Germany.,Medical Faculty Mannheim, University of Heidelberg, Germany
| | | | - Arun L W Bokde
- Institute of Neuroscience and Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | | | - Patricia Conrod
- King's College London, Institute of Psychiatry, London, UK.,Department of Psychiatry, Universite de Montreal, CHU Ste Justine Hospital, Canada
| | - Herta Flor
- Central Institute of Mental Health, Mannheim, Germany.,Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Vincent Frouin
- Neurospin, Commissariat à l'Energie Atomique et aux Energies Alternatives, Paris, France
| | - Hugh Garavan
- Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.,Departments of Psychiatry and Psychology, University of Vermont, USA
| | - Penny Gowland
- School of Physics and Astronomy, University of Nottingham, UK
| | - Anreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Berlin, Germany
| | - Hervé Lemaître
- Institute National de la Santé et de la Recherche Médicale, INSERM CEA Unit 1000 "Imaging & Psychiatry", University Paris Sud, Orsay, and AP-HP Department of Adolescent Psychopathology and Medicine, Maison de Solenn, University Paris Descartes, Paris, France
| | - Frauke Nees
- Central Institute of Mental Health, Mannheim, Germany.,Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Tomas Paus
- otman Research Institute, University of Toronto, Toronto, Canada.,School of Psychology, University of Nottingham, UK.,Montreal Neurological Institute, McGill University, Canada
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Marcella Rietschel
- Central Institute of Mental Health, Mannheim, Germany.,Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Michael N Smolka
- Neuroimaging Center, Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Germany
| | - Andreas Ströhle
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jeurgen Gallinat
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Bruno Vellas
- INSERM U 558, University of Toulouse, Toulouse, France
| | - Hilkka Soininen
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | | | - Magda Tsolaki
- Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
| | - Christian Spenger
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Victor L Villemagne
- The Florey Institute of Neuroscience and Mental Health, Parkville, Vic., Australia.,University of Melbourne, Parkville, Vic., Australia
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, Parkville, Vic., Australia.,University of Melbourne, Parkville, Vic., Australia
| | - J-Sebastian Muehlboeck
- King's College London, Institute of Psychiatry, London, UK.,NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
| | - Lars Bäckman
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Lars-Olof Wahlund
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Gunther Schumann
- King's College London, Institute of Psychiatry, London, UK.,NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
| | - Simon Lovestone
- King's College London, Institute of Psychiatry, London, UK.,NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK.,NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
| | - Steven C R Williams
- King's College London, Institute of Psychiatry, London, UK.,NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK.,NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
| | - Eric Westman
- King's College London, Institute of Psychiatry, London, UK.,Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Andrew Simmons
- King's College London, Institute of Psychiatry, London, UK.,NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK.,NIHR Biomedical Research Unit for Dementia, King's College London, London, UK.,Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
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27
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Garzón B, Sitnikov R, Bäckman L, Kalpouzos G. Automated segmentation of midbrain structures with high iron content. Neuroimage 2017; 170:199-209. [PMID: 28602813 DOI: 10.1016/j.neuroimage.2017.06.016] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Revised: 06/01/2017] [Accepted: 06/07/2017] [Indexed: 11/29/2022] Open
Abstract
The substantia nigra (SN), the subthalamic nucleus (STN), and the red nucleus (RN) are midbrain structures of ample interest in many neuroimaging studies, which may benefit from the availability of automated segmentation methods. The high iron content of these structures awards them high contrast in quantitative susceptibility mapping (QSM) images. We present a novel segmentation method that leverages the information of these images to produce automated segmentations of the SN, STN, and RN. The algorithm builds a map of spatial priors for the structures by non-linearly registering a set of manually-traced training labels to the midbrain. The priors are used to inform a Gaussian mixture model of the image intensities, with smoothness constraints imposed to ensure anatomical plausibility. The method was validated on manual segmentations from a sample of 40 healthy younger and older subjects. Average Dice scores were 0.81 (0.05) for the SN, 0.66 (0.14) for the STN and 0.88 (0.04) for the RN in the left hemisphere, and similar values were obtained for the right hemisphere. In all structures, volumes of manual and automatically obtained segmentations were significantly correlated. The algorithm showed lower accuracy on R2* and T2-weighted Fluid Attenuated Inversion Recovery (FLAIR) images, which are also sensitive to iron content. To illustrate an application of the method, we show that the automated segmentations were comparable to the manual ones regarding detection of age-related differences to putative iron content.
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Affiliation(s)
- Benjamín Garzón
- Aging Research Center (ARC), Karolinska Institute and Stockholm University, Sweden.
| | | | - Lars Bäckman
- Aging Research Center (ARC), Karolinska Institute and Stockholm University, Sweden.
| | - Grégoria Kalpouzos
- Aging Research Center (ARC), Karolinska Institute and Stockholm University, Sweden.
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Ferreira D, Hansson O, Barroso J, Molina Y, Machado A, Hernández-Cabrera JA, Muehlboeck JS, Stomrud E, Nägga K, Lindberg O, Ames D, Kalpouzos G, Fratiglioni L, Bäckman L, Graff C, Mecocci P, Vellas B, Tsolaki M, Kłoszewska I, Soininen H, Lovestone S, Ahlström H, Lind L, Larsson EM, Wahlund LO, Simmons A, Westman E. The interactive effect of demographic and clinical factors on hippocampal volume: A multicohort study on 1958 cognitively normal individuals. Hippocampus 2017; 27:653-667. [DOI: 10.1002/hipo.22721] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 02/09/2017] [Accepted: 02/15/2017] [Indexed: 11/08/2022]
Affiliation(s)
- Daniel Ferreira
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
| | - Oskar Hansson
- Department of Clinical Sciences; Clinical Memory Research Unit, Lund University; Malmö 20502 Sweden
| | - José Barroso
- Department of Clinical Psychology; Psychobiology and Methodology, University of La Laguna; La Laguna 38071 Spain
| | - Yaiza Molina
- Department of Clinical Psychology; Psychobiology and Methodology, University of La Laguna; La Laguna 38071 Spain
- Faculty of Health Sciences; University Fernando Pessoa Canarias, Las Palmas de Gran Canaria; Spain
| | - Alejandra Machado
- Department of Clinical Psychology; Psychobiology and Methodology, University of La Laguna; La Laguna 38071 Spain
| | | | - J-Sebastian Muehlboeck
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
| | - Erik Stomrud
- Department of Clinical Sciences; Clinical Memory Research Unit, Lund University; Malmö 20502 Sweden
| | - Katarina Nägga
- Department of Clinical Sciences; Clinical Memory Research Unit, Lund University; Malmö 20502 Sweden
| | - Olof Lindberg
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
- Department of Clinical Sciences; Clinical Memory Research Unit, Lund University; Malmö 20502 Sweden
| | - David Ames
- National Ageing Research Institute; Parkville; Victoria 3050 Australia
- University of Melbourne Academic Unit for Psychiatry of Old Age; St George's Hospital, Kew; Victoria 3101 Australia
| | - Grégoria Kalpouzos
- Aging Research Center (ARC); Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; 113 30 Stockholm Sweden
| | - Laura Fratiglioni
- Aging Research Center (ARC); Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; 113 30 Stockholm Sweden
- Stockholm Gerontology Research Centre; Stockholm 11330 Sweden
| | - Lars Bäckman
- Aging Research Center (ARC); Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; 113 30 Stockholm Sweden
- Stockholm Gerontology Research Centre; Stockholm 11330 Sweden
| | - Caroline Graff
- Division of Neurogeriatrics; Department of Neurobiology Care Sciences and Society, Centre for Alzheimer Research, Karolinska Institutet; Stockholm 14157 Sweden
- Department of Geriatric Medicine; Karolinska University Hospital Huddinge; Stockholm 14186 Sweden
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics; University of Perugia; Perugia 06100 Italy
| | - Bruno Vellas
- INSERM U 558; University of Toulouse; Toulouse 31024 France
| | - Magda Tsolaki
- 3rd Department of Neurology; Aristoteleion Panepistimeion Thessalonikis; Thessaloniki 54124 Greece
| | | | - Hilkka Soininen
- University of Eastern Finland and Kuopio University Hospital; Kuopio 70211 Finland
| | - Simon Lovestone
- Department of Psychiatry; Warneford Hospital University of Oxford; Oxford OX37JX United Kingdom
| | - Håkan Ahlström
- Department of Surgical Sciences; Radiology, Uppsala University; Uppsala 75185 Sweden
| | - Lars Lind
- Department of Medical Sciences; Uppsala University; Uppsala 75185 Sweden
| | - Elna-Marie Larsson
- Department of Surgical Sciences; Radiology, Uppsala University; Uppsala 75185 Sweden
| | - Lars-Olof Wahlund
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
| | - Andrew Simmons
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
- NIHR Biomedical Research Centre for Mental Health; London SE58AF United Kingdom
- NIHR Biomedical Research Unit for Dementia; London SE58AF United Kingdom
- Institute of Psychiatry; King's College London; London SE58AF United Kingdom
| | - Eric Westman
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
- Institute of Psychiatry; King's College London; London SE58AF United Kingdom
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29
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Becker N, Kalpouzos G, Persson J, Laukka EJ, Brehmer Y. Differential Effects of Encoding Instructions on Brain Activity Patterns of Item and Associative Memory. J Cogn Neurosci 2017; 29:545-559. [DOI: 10.1162/jocn_a_01062] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Abstract
Evidence from neuroimaging studies suggests a critical role of hippocampus and inferior frontal gyrus (IFG) in associative relative to item encoding. Here, we investigated similarities and differences in functional brain correlates for associative and item memory as a function of encoding instruction. Participants received either incidental (animacy judgments) or intentional encoding instructions while fMRI was employed during the encoding of associations and items. In a subsequent recognition task, memory performance of participants receiving intentional encoding instructions was higher compared with those receiving incidental encoding instructions. Furthermore, participants remembered more items than associations, regardless of encoding instruction. Greater brain activation in the left anterior hippocampus was observed for intentionally compared with incidentally encoded associations, although activity in this region was not modulated by the type of instruction for encoded items. Furthermore, greater activity in the left anterior hippocampus and left IFG was observed during intentional associative compared with item encoding. The same regions were related to subsequent memory of intentionally encoded associations and were thus task relevant. Similarly, connectivity of the anterior hippocampus to the right superior temporal lobe and IFG was uniquely linked to subsequent memory of intentionally encoded associations. Our study demonstrates the differential involvement of anterior hippocampus in intentional relative to incidental associative encoding. This finding likely reflects that the intent to remember triggers a specific binding process accomplished by this region.
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Affiliation(s)
- Nina Becker
- 1Otto Hahn Group on Associative Memory, Max Planck Institute for Human Development, Berlin, Germany
- 2Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Grégoria Kalpouzos
- 2Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Jonas Persson
- 2Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Erika J. Laukka
- 2Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Yvonne Brehmer
- 1Otto Hahn Group on Associative Memory, Max Planck Institute for Human Development, Berlin, Germany
- 2Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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Kalpouzos G, Garzón B, Sitnikov R, Heiland C, Salami A, Persson J, Bäckman L. Higher Striatal Iron Concentration is Linked to Frontostriatal Underactivation and Poorer Memory in Normal Aging. Cereb Cortex 2017; 27:3427-3436. [DOI: 10.1093/cercor/bhx045] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Indexed: 12/12/2022] Open
Affiliation(s)
- Grégoria Kalpouzos
- Aging Research Center (ARC), Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Benjamín Garzón
- Aging Research Center (ARC), Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Rouslan Sitnikov
- MRI Research Center, Karolinska University Hospital, Stockholm, Sweden
| | - Carmel Heiland
- Aging Research Center (ARC), Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Alireza Salami
- Aging Research Center (ARC), Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
- Department of Integrative Medical Biology, Physiology Section, Umeå University, Umeå, Sweden
| | - Jonas Persson
- Aging Research Center (ARC), Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center (ARC), Karolinska Institutet and Stockholm University, Stockholm, Sweden
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31
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Karshikoff B, Jensen KB, Kosek E, Kalpouzos G, Soop A, Ingvar M, Olgart Höglund C, Lekander M, Axelsson J. Why sickness hurts: A central mechanism for pain induced by peripheral inflammation. Brain Behav Immun 2016; 57:38-46. [PMID: 27058164 DOI: 10.1016/j.bbi.2016.04.001] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Revised: 03/29/2016] [Accepted: 04/02/2016] [Indexed: 11/17/2022] Open
Abstract
Low-grade systemic inflammation has been implicated in chronic pain, as well as in comorbid diseases like depression and fatigue. We have previously shown that women's pain perception and regulation is more affected by systemic inflammation than that of men. Here we investigated the neural substrates underlying these effects using an fMRI paradigm previously employed in a clinical population. Fifty-one participants (29 women) were injected with 0.6ng/kg lipopolysaccharide (LPS) or saline to induce a peripheral inflammatory response. The subjects were then tested with a pressure pain fMRI paradigm designed to capture descending pain inhibitory activity 2h after injection, and blood was sampled for cytokine analysis. The subjects injected with LPS became more pain sensitive compared to the placebo group, and the heightened pain sensitivity was paralleled by decreased activity in the ventrolateral prefrontal cortex and the rostral anterior cingulate cortex (rACC) compared to placebo; areas involved in descending pain regulation. The LPS group also had higher activity in the anterior insular cortex, an area underpinning affective and interoceptive pain processing. Women displayed overall less pain-evoked rACC activity compared to men, which may have rendered women less resilient to immune provocation, possibly explaining sex differences in LPS-induced pain sensitivity. Our findings elucidate the pain-related brain circuits affected by experimental peripheral inflammation, strengthening the theoretical link between systemic inflammation and weakened pain regulation in chronic pain disorders. The results further suggest a possible mechanism underlying the female predominance in many chronic pain disorders.
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Affiliation(s)
- B Karshikoff
- Karolinska Pain Center, Behavioral Medicine Pain Treatment Service, Karolinska University Hospital, Solna, Sweden; Stress Research Institute, Stockholm University, Stockholm, Sweden; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
| | - K B Jensen
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Osher Center for Integrative Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - E Kosek
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Osher Center for Integrative Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - G Kalpouzos
- Aging Research Center (ARC), Department of Neurobiology, Cares Sciences and Society, Karolinska Institutet and Stockholm University, Sweden
| | - A Soop
- Department of Anesthesiology and Intensive Care, Karolinska University Hospital Huddinge, Stockholm, Sweden; Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
| | - M Ingvar
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Osher Center for Integrative Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - C Olgart Höglund
- Osher Center for Integrative Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden; Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden; Department of Medicine Solna and CMM, Karolinska Institutet and Karolinska University Hospital Solna, Stockholm, Sweden
| | - M Lekander
- Stress Research Institute, Stockholm University, Stockholm, Sweden; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Osher Center for Integrative Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - J Axelsson
- Stress Research Institute, Stockholm University, Stockholm, Sweden; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Osher Center for Integrative Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
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Hooshmand B, Mangialasche F, Kalpouzos G, Solomon A, Kåreholt I, Smith AD, Refsum H, Wang R, Mühlmann M, Ertl-Wagner B, Laukka EJ, Bäckman L, Fratiglioni L, Kivipelto M. Association of Vitamin B12, Folate, and Sulfur Amino Acids With Brain Magnetic Resonance Imaging Measures in Older Adults: A Longitudinal Population-Based Study. JAMA Psychiatry 2016; 73:606-13. [PMID: 27120188 DOI: 10.1001/jamapsychiatry.2016.0274] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Vitamin B12, folate, and sulfur amino acids may be modifiable risk factors for structural brain changes that precede clinical dementia. OBJECTIVE To investigate the association of circulating levels of vitamin B12, red blood cell folate, and sulfur amino acids with the rate of total brain volume loss and the change in white matter hyperintensity volume as measured by fluid-attenuated inversion recovery in older adults. DESIGN, SETTING, AND PARTICIPANTS The magnetic resonance imaging subsample of the Swedish National Study on Aging and Care in Kungsholmen, a population-based longitudinal study in Stockholm, Sweden, was conducted in 501 participants aged 60 years or older who were free of dementia at baseline. A total of 299 participants underwent repeated structural brain magnetic resonance imaging scans from September 17, 2001, to December 17, 2009. MAIN OUTCOMES AND MEASURES The rate of brain tissue volume loss and the progression of total white matter hyperintensity volume. RESULTS In the multi-adjusted linear mixed models, among 501 participants (300 women [59.9%]; mean [SD] age, 70.9 [9.1] years), higher baseline vitamin B12 and holotranscobalamin levels were associated with a decreased rate of total brain volume loss during the study period: for each increase of 1 SD, β (SE) was 0.048 (0.013) for vitamin B12 (P < .001) and 0.040 (0.013) for holotranscobalamin (P = .002). Increased total homocysteine levels were associated with faster rates of total brain volume loss in the whole sample (β [SE] per 1-SD increase, -0.035 [0.015]; P = .02) and with the progression of white matter hyperintensity among participants with systolic blood pressure greater than 140 mm Hg (β [SE] per 1-SD increase, 0.000019 [0.00001]; P = .047). No longitudinal associations were found for red blood cell folate and other sulfur amino acids. CONCLUSIONS AND RELEVANCE This study suggests that both vitamin B12 and total homocysteine concentrations may be related to accelerated aging of the brain. Randomized clinical trials are needed to determine the importance of vitamin B12 supplementation on slowing brain aging in older adults.
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Affiliation(s)
- Babak Hooshmand
- Center for Alzheimer Research-Aging Research Center, Karolinska Institutet, Stockholm University, Stockholm, Sweden2Department of Neurology, Klinikum Augsburg, Augsburg, Germany
| | - Francesca Mangialasche
- Center for Alzheimer Research-Aging Research Center, Karolinska Institutet, Stockholm University, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Center for Alzheimer Research-Aging Research Center, Karolinska Institutet, Stockholm University, Stockholm, Sweden
| | - Alina Solomon
- Center for Alzheimer Research-Aging Research Center, Karolinska Institutet, Stockholm University, Stockholm, Sweden
| | - Ingemar Kåreholt
- Center for Alzheimer Research-Aging Research Center, Karolinska Institutet, Stockholm University, Stockholm, Sweden3Institute of Gerontology, School of Health and Welfare, Jönköping University, Jönköping, Sweden
| | - A David Smith
- Department of Pharmacology, University of Oxford, Oxford, UK
| | - Helga Refsum
- Department of Pharmacology, University of Oxford, Oxford, UK5Institute of Nutrition, University of Oslo, Oslo, Norway
| | - Rui Wang
- Center for Alzheimer Research-Aging Research Center, Karolinska Institutet, Stockholm University, Stockholm, Sweden
| | - Marc Mühlmann
- Institute for Clinical Radiology, Ludwig-Maximillian University Hospital, Munich, Germany
| | - Birgit Ertl-Wagner
- Institute for Clinical Radiology, Ludwig-Maximillian University Hospital, Munich, Germany
| | - Erika Jonsson Laukka
- Center for Alzheimer Research-Aging Research Center, Karolinska Institutet, Stockholm University, Stockholm, Sweden
| | - Lars Bäckman
- Center for Alzheimer Research-Aging Research Center, Karolinska Institutet, Stockholm University, Stockholm, Sweden
| | - Laura Fratiglioni
- Center for Alzheimer Research-Aging Research Center, Karolinska Institutet, Stockholm University, Stockholm, Sweden
| | - Miia Kivipelto
- Center for Alzheimer Research-Aging Research Center, Karolinska Institutet, Stockholm University, Stockholm, Sweden
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Papenberg G, Ferencz B, Mangialasche F, Mecocci P, Cecchetti R, Kalpouzos G, Fratiglioni L, Bäckman L. Physical activity and inflammation: effects on gray-matter volume and cognitive decline in aging. Hum Brain Mapp 2016; 37:3462-73. [PMID: 27159568 DOI: 10.1002/hbm.23252] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Revised: 04/25/2016] [Accepted: 04/27/2016] [Indexed: 01/02/2023] Open
Abstract
Physical activity has been positively associated with gray-matter integrity. In contrast, pro-inflammatory cytokines seem to have negative effects on the aging brain and have been related to dementia. It was investigated whether an inactive lifestyle and high levels of inflammation resulted in smaller gray-matter volumes and predicted cognitive decline across 6 years in a population-based study of older adults (n = 414). Self-reported physical activity (fitness-enhancing, health-enhancing, inadequate) was linked to gray-matter volume, such that individuals with inadequate physical activity had the least gray matter. There were no overall associations between different pro-and anti-inflammatory markers (IL-1β, IL-6, IL-10, IL-12p40, IL-12p70, G-CSF, and TNF-α) and gray-matter integrity. However, persons with inadequate activity and high levels of the pro-inflammatory marker IL-12p40 had smaller volumes of lateral prefrontal cortex and hippocampus and declined more on the Mini-Mental State Examination test over 6 years compared with physically inactive individuals with low levels of IL-12p40 and to more physically active persons, irrespective of their levels of IL-12p40. These patterns of data suggested that inflammation was particularly detrimental in inactive older adults and may exacerbate the negative effects of physical inactivity on brain and cognition in old age. Hum Brain Mapp 37:3462-3473, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Goran Papenberg
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Beata Ferencz
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Francesca Mangialasche
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Patrizia Mecocci
- Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - Roberta Cecchetti
- Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - Grégoria Kalpouzos
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
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Becker N, Laukka EJ, Kalpouzos G, Naveh-Benjamin M, Bäckman L, Brehmer Y. Structural brain correlates of associative memory in older adults. Neuroimage 2015; 118:146-53. [DOI: 10.1016/j.neuroimage.2015.06.002] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2015] [Revised: 05/26/2015] [Accepted: 06/02/2015] [Indexed: 11/29/2022] Open
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Laukka EJ, Lövdén M, Kalpouzos G, Papenberg G, Keller L, Graff C, Li TQ, Fratiglioni L, Bäckman L. Microstructural White Matter Properties Mediate the Association between APOE and Perceptual Speed in Very Old Persons without Dementia. PLoS One 2015; 10:e0134766. [PMID: 26252210 PMCID: PMC4529164 DOI: 10.1371/journal.pone.0134766] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2015] [Accepted: 07/13/2015] [Indexed: 11/21/2022] Open
Abstract
Background Reduced white matter integrity, as indicated by lower fractional anisotropy (FA) and higher mean diffusivity (MD), has been related to poorer perceptual speed (PS) performance. As the ε4 allele has been associated with lower white matter integrity in old age, this represents a potential mechanism through which APOE may affect PS. Objective To examine whether the association between APOE and PS is mediated by white matter microstructure in very old persons without dementia. Method Participants were selected from the population-based SNAC-K study. After excluding persons with dementia, preclinical dementia, and other neurological disorders, 652 persons (age range 78–90) were included in the study, of which 89 had data on diffusion tensor imaging (DTI). We used structural equation modeling to form seven latent white matter factors (FA and MD) and one latent PS factor. Separate analyses were performed for FA and MD and mediational analyses were carried out for tracts where significant associations were observed to both APOE and PS. Results APOE was associated with white matter microstructure in 2 out of 14 tracts; ε4 carriers had significantly lower FA in forceps major and higher MD in the cortico-spinal tract. Allowing the white matter microstructure indicators in these tracts to mediate the association between APOE and PS resulted in a markedly attenuated association between these variables. Bootstrapping statistics in the subsample with DTI data (n = 89) indicated that FA in forceps major significantly mediated the association between APOE and PS (indirect effect: -0.070, 95% bias corrected CIs -0.197 to -0.004). Conclusion Lower white matter integrity may represent one of several mechanisms through which APOE affects PS performance in elderly persons free of dementia and preclinical dementia.
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Affiliation(s)
- Erika J. Laukka
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- * E-mail:
| | - Martin Lövdén
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Goran Papenberg
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Lina Keller
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden
| | - Caroline Graff
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden
- Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Tie-Qiang Li
- Department of Clinical Science, Intervention and Technology, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
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Xu WL, Pedersen NL, Keller L, Kalpouzos G, Wang HX, Graff C, Winblad B, Bäckman L, Fratiglioni L. HHEX_23 AA Genotype Exacerbates Effect of Diabetes on Dementia and Alzheimer Disease: A Population-Based Longitudinal Study. PLoS Med 2015; 12:e1001853. [PMID: 26173052 PMCID: PMC4501827 DOI: 10.1371/journal.pmed.1001853] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2014] [Accepted: 06/05/2015] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Research has suggested that variations within the IDE/HHEX gene region may underlie the association of type 2 diabetes with Alzheimer disease (AD). We sought to explore whether IDE genes play a role in the association of diabetes with dementia, AD, and structural brain changes using data from two community-based cohorts of older adults and a subsample with structural MRI. METHODS AND FINDINGS The first cohort, which included dementia-free adults aged ≥75 y (n = 970) at baseline, was followed for 9 y to detect incident dementia (n = 358) and AD (n = 271) cases. The second cohort (for replication), which included 2,060 dementia-free participants aged ≥60 y at baseline, was followed for 6 y to identify incident dementia (n = 166) and AD (n = 121) cases. A subsample (n = 338) of dementia-free participants from the second cohort underwent MRI. HHEX_23 and IDE_9 were genotyped, and diabetes (here including type 2 diabetes and prediabetes) was assessed. In the first cohort, diabetes led to an adjusted hazard ratio (HR) of 1.73 (95% CI 1.19-2.32) and 1.66 (95% CI 1.06-2.40) for dementia and AD, respectively, among all participants. Compared to people carrying the GG genotype without diabetes, AA genotype carriers with diabetes had an adjusted HR of 5.54 (95% CI 2.40-7.18) and 4.81 (95% CI 1.88-8.50) for dementia and AD, respectively. There was a significant interaction between HHEX_23-AA and diabetes on dementia (HR 4.79, 95% CI 1.63-8.90, p = 0.013) and AD (HR 3.55, 95% CI 1.45-9.91, p = 0.025) compared to the GG genotype without diabetes. In the second cohort, the HRs were 1.68 (95% CI 1.04-2.99) and 1.64 (1.02-2.33) for the diabetes-AD and dementia-AD associations, respectively, and 4.06 (95% CI 1.06-7.58, p = 0.039) and 3.29 (95% CI 1.02-8.33, p = 0.044) for the interactions, respectively. MRI data showed that HHEX_23-AA carriers with diabetes had significant structural brain changes compared to HHEX_23-GG carriers without diabetes. No joint effects of IDE_9 and diabetes on dementia were shown. As a limitation, the sample sizes were small for certain subgroups. CONCLUSIONS A variant in the HHEX_23 gene interacts with diabetes to be associated with a substantially increased risk of dementia and AD, and with structural brain changes among dementia-free elderly people.
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Affiliation(s)
- Wei-Li Xu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- * E-mail:
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Lina Keller
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Alzheimer’s Disease Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Hui-Xin Wang
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Caroline Graff
- Alzheimer’s Disease Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Geriatric Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Bengt Winblad
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Alzheimer’s Disease Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
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Wang R, Fratiglioni L, Kalpouzos G, Lövdén M, Laukka EJ, Bronge L, Wahlund LO, Bäckman L, Qiu C. P1‐020: Structural brain changes mediate the association between cardiovascular risk burden and cognitive decline in old age: A population‐based study. Alzheimers Dement 2015. [DOI: 10.1016/j.jalz.2015.06.216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Rui Wang
- Karolinska InstitutetStockholmSweden
| | - Laura Fratiglioni
- Aging Research Center, Karolinska InstitutetStockholm UniversityStockholmSweden
| | | | | | | | - Lena Bronge
- Karolinska InstitutetKarolinska University HospitalHuddingeSweden
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Gerritsen L, Kalpouzos G, Westman E, Simmons A, Wahlund LO, Bäckman L, Fratiglioni L, Wang HX. The influence of negative life events on hippocampal and amygdala volumes in old age: a life-course perspective. Psychol Med 2015; 45:1219-1228. [PMID: 25273347 DOI: 10.1017/s0033291714002293] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Psychosocial stress has been related to changes in the nervous system, with both adaptive and maladaptive consequences. The aim of this study was to examine the relationship of negative events experienced throughout the entire lifespan and hippocampal and amygdala volumes in older adults. METHOD In 466 non-demented old adults (age range 60-96 years, 58% female), hippocampal and amygdala volumes were segmented using Freesurfer. Negative life events and the age at which these events occurred were assessed by means of a structured questionnaire. Using generalized linear models, hippocampal and amygdala volumes were estimated with life events as independent variables. The statistical analyses were adjusted for age, gender, intracranial volume, lifestyle factors, cardiovascular risk factors, depressive symptoms, and cognitive functioning. RESULTS Total number of negative life events and of late-life events, but not of early-life, early-adulthood, or middle-adulthood events, was related to larger amygdala volume. There were interactions of early-life events with age and gender. Participants who reported two or more early-life events had significantly smaller amygdala and hippocampal volumes with increasing age. Furthermore, smaller hippocampal volume was found in men who reported two or more early-life events, but not in women. CONCLUSIONS These results suggest that the effect of negative life events on the brain depends on the time when the events occurred, with the strongest effects observed during the critical time periods of early and late life.
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Affiliation(s)
- L Gerritsen
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Stockholm,Sweden
| | - G Kalpouzos
- Ageing Research Center (ARC),Karolinska Institutet and Stockholm University,Stockholm,Sweden
| | - E Westman
- Division of Clinical Geriatrics,Department of Neurobiology, Care Sciences and Society,Karolinska Institutet,Stockholm,Sweden
| | - A Simmons
- Department of Neuroimaging,Institute of Psychiatry, King's College London,London,UK
| | - L O Wahlund
- Division of Clinical Geriatrics,Department of Neurobiology, Care Sciences and Society,Karolinska Institutet,Stockholm,Sweden
| | - L Bäckman
- Ageing Research Center (ARC),Karolinska Institutet and Stockholm University,Stockholm,Sweden
| | - L Fratiglioni
- Ageing Research Center (ARC),Karolinska Institutet and Stockholm University,Stockholm,Sweden
| | - H X Wang
- Ageing Research Center (ARC),Karolinska Institutet and Stockholm University,Stockholm,Sweden
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Lecouvey G, Quinette P, Kalpouzos G, Guillery-Girard B, Bejanin A, Gonneaud J, Abbas A, Viader F, Eustache F, Desgranges B. Binding in working memory and frontal lobe in normal aging: is there any similarity with autism? Front Hum Neurosci 2015; 9:90. [PMID: 25852510 PMCID: PMC4362406 DOI: 10.3389/fnhum.2015.00090] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2014] [Accepted: 02/04/2015] [Indexed: 11/24/2022] Open
Abstract
Some studies highlight similarities between Autism Spectrum Disorder (ASD) and healthy aging. Indeed, the decline in older individuals’ ability to create a unified representation of the individual features of an event is thought to arise from a disruption of binding within the episodic buffer of working memory (WM) as the same way as observed in ASD. In both cases, this deficit may result from an abnormal engagement of a frontohippocampal network. The objective of the present study is to identify both cognitive processes and neural substrates associated with the deficit of binding in WM in healthy aging. We studied the capacity of binding and the cognitive processes that might subtend its decline in 72 healthy participants aged 18–84 years. We examined the behavioral data in relation to the changes in brain metabolism associated with the age-related decline in a subgroup of 34 healthy participants aged 20–77 years using the resting-state [18F] fluorodeoxyglucose positron emission tomography (18F-FDG PET). Forward stepwise regression analyses showed that the age-related decline in binding was partially explained by a decline in inhibition and processing speed. PET correlation analyses indicated that metabolism of the frontal regions, anterior and middle cingulate cortices is implicated in this phenomenon. These data suggest that executive functions and processing speed may play a crucial role in the capacity to integrate unified representations in memory in aging. Possible implications are discussed in ASD.
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Affiliation(s)
- Grégory Lecouvey
- INSERM, U1077 Caen, France ; UMR-S1077, Université de Caen/Basse-Normandie Caen, France ; UMR-S1077, Ecole Pratique des Hautes Etudes Caen, France ; UMR-S1077, Caen University Hospital Caen, France
| | - Peggy Quinette
- INSERM, U1077 Caen, France ; UMR-S1077, Université de Caen/Basse-Normandie Caen, France ; UMR-S1077, Ecole Pratique des Hautes Etudes Caen, France ; UMR-S1077, Caen University Hospital Caen, France
| | - Grégoria Kalpouzos
- INSERM, U1077 Caen, France ; UMR-S1077, Université de Caen/Basse-Normandie Caen, France ; UMR-S1077, Ecole Pratique des Hautes Etudes Caen, France ; UMR-S1077, Caen University Hospital Caen, France ; Aging Research Center, Karolinska Institute and Stockholm University Stockholm, Sweden
| | - Bérengère Guillery-Girard
- INSERM, U1077 Caen, France ; UMR-S1077, Université de Caen/Basse-Normandie Caen, France ; UMR-S1077, Ecole Pratique des Hautes Etudes Caen, France ; UMR-S1077, Caen University Hospital Caen, France
| | - Alexandre Bejanin
- INSERM, U1077 Caen, France ; UMR-S1077, Université de Caen/Basse-Normandie Caen, France ; UMR-S1077, Ecole Pratique des Hautes Etudes Caen, France ; UMR-S1077, Caen University Hospital Caen, France
| | - Julie Gonneaud
- INSERM, U1077 Caen, France ; UMR-S1077, Université de Caen/Basse-Normandie Caen, France ; UMR-S1077, Ecole Pratique des Hautes Etudes Caen, France ; UMR-S1077, Caen University Hospital Caen, France
| | - Ahmed Abbas
- INSERM, U1077 Caen, France ; UMR-S1077, Université de Caen/Basse-Normandie Caen, France ; UMR-S1077, Ecole Pratique des Hautes Etudes Caen, France ; UMR-S1077, Caen University Hospital Caen, France
| | - Fausto Viader
- INSERM, U1077 Caen, France ; UMR-S1077, Université de Caen/Basse-Normandie Caen, France ; UMR-S1077, Ecole Pratique des Hautes Etudes Caen, France ; Department of Neurology, Caen University Hospital Caen, France
| | - Francis Eustache
- INSERM, U1077 Caen, France ; UMR-S1077, Université de Caen/Basse-Normandie Caen, France ; UMR-S1077, Ecole Pratique des Hautes Etudes Caen, France ; UMR-S1077, Caen University Hospital Caen, France
| | - Béatrice Desgranges
- INSERM, U1077 Caen, France ; UMR-S1077, Université de Caen/Basse-Normandie Caen, France ; UMR-S1077, Ecole Pratique des Hautes Etudes Caen, France ; UMR-S1077, Caen University Hospital Caen, France
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Wang R, Fratiglioni L, Laukka EJ, Lövdén M, Kalpouzos G, Keller L, Graff C, Salami A, Bäckman L, Qiu C. Effects of vascular risk factors and APOE ε4 on white matter integrity and cognitive decline. Neurology 2015; 84:1128-35. [PMID: 25672924 DOI: 10.1212/wnl.0000000000001379] [Citation(s) in RCA: 92] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
OBJECTIVE To investigate the effects of vascular risk factors and APOE status on white matter microstructure, and subsequent cognitive decline among older people. METHODS This study included 241 participants (age 60 years and older) from the population-based Swedish National Study on Aging and Care in Kungsholmen in central Stockholm, Sweden, who were free of dementia and stroke at baseline (2001-2004). We collected data through interviews, clinical examinations, and laboratory tests. We measured fractional anisotropy (FA) and mean diffusivity (MD) on diffusion tensor imaging, and estimated volume of white matter hyperintensities using automatic segmentation. We assessed global cognitive function with the Mini-Mental State Examination at baseline and at 3- and/or 6-year follow-up. We analyzed the data using multivariate linear regression and linear mixed models. RESULTS Heavy alcohol consumption, hypertension, and diabetes were significantly associated with lower FA or higher MD (p < 0.05). When aggregating heavy alcohol consumption, hypertension, and diabetes together with current smoking, having an increasing number of these 4 factors concurrently was associated with decreasing FA and increasing MD (ptrend < 0.01), independent of white matter hyperintensities. Vascular risk factors and APOE ε4 allele interacted to negatively affect white matter microstructure; having multiple (≥2) vascular factors was particularly detrimental to white matter integrity among APOE ε4 carriers. Lower tertile of FA and upper tertile of MD were significantly associated with faster Mini-Mental State Examination decline. CONCLUSIONS Vascular risk factors are associated with reduced white matter integrity among older adults, which subsequently predicted faster cognitive decline. The detrimental effects of vascular risk factors on white matter microstructure were exacerbated among APOE ε4 carriers.
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Affiliation(s)
- Rui Wang
- From the Aging Research Center (R.W., L.F., E.J.L., M.L., G.K., L.K., A.S., L.B., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University; Stockholm Gerontology Research Center (L.F., L.B.); and Division of Neurogeriatrics (C.G.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Center for Alzheimer Research at Karolinska Institutet, Sweden.
| | - Laura Fratiglioni
- From the Aging Research Center (R.W., L.F., E.J.L., M.L., G.K., L.K., A.S., L.B., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University; Stockholm Gerontology Research Center (L.F., L.B.); and Division of Neurogeriatrics (C.G.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Center for Alzheimer Research at Karolinska Institutet, Sweden
| | - Erika J Laukka
- From the Aging Research Center (R.W., L.F., E.J.L., M.L., G.K., L.K., A.S., L.B., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University; Stockholm Gerontology Research Center (L.F., L.B.); and Division of Neurogeriatrics (C.G.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Center for Alzheimer Research at Karolinska Institutet, Sweden
| | - Martin Lövdén
- From the Aging Research Center (R.W., L.F., E.J.L., M.L., G.K., L.K., A.S., L.B., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University; Stockholm Gerontology Research Center (L.F., L.B.); and Division of Neurogeriatrics (C.G.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Center for Alzheimer Research at Karolinska Institutet, Sweden
| | - Grégoria Kalpouzos
- From the Aging Research Center (R.W., L.F., E.J.L., M.L., G.K., L.K., A.S., L.B., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University; Stockholm Gerontology Research Center (L.F., L.B.); and Division of Neurogeriatrics (C.G.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Center for Alzheimer Research at Karolinska Institutet, Sweden
| | - Lina Keller
- From the Aging Research Center (R.W., L.F., E.J.L., M.L., G.K., L.K., A.S., L.B., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University; Stockholm Gerontology Research Center (L.F., L.B.); and Division of Neurogeriatrics (C.G.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Center for Alzheimer Research at Karolinska Institutet, Sweden
| | - Caroline Graff
- From the Aging Research Center (R.W., L.F., E.J.L., M.L., G.K., L.K., A.S., L.B., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University; Stockholm Gerontology Research Center (L.F., L.B.); and Division of Neurogeriatrics (C.G.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Center for Alzheimer Research at Karolinska Institutet, Sweden
| | - Alireza Salami
- From the Aging Research Center (R.W., L.F., E.J.L., M.L., G.K., L.K., A.S., L.B., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University; Stockholm Gerontology Research Center (L.F., L.B.); and Division of Neurogeriatrics (C.G.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Center for Alzheimer Research at Karolinska Institutet, Sweden
| | - Lars Bäckman
- From the Aging Research Center (R.W., L.F., E.J.L., M.L., G.K., L.K., A.S., L.B., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University; Stockholm Gerontology Research Center (L.F., L.B.); and Division of Neurogeriatrics (C.G.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Center for Alzheimer Research at Karolinska Institutet, Sweden
| | - Chengxuan Qiu
- From the Aging Research Center (R.W., L.F., E.J.L., M.L., G.K., L.K., A.S., L.B., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University; Stockholm Gerontology Research Center (L.F., L.B.); and Division of Neurogeriatrics (C.G.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Center for Alzheimer Research at Karolinska Institutet, Sweden.
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Persson J, Rieckmann A, Kalpouzos G, Fischer H, Bäckman L. Influences of a DRD2 polymorphism on updating of long-term memory representations and caudate BOLD activity: magnification in aging. Hum Brain Mapp 2014; 36:1325-34. [PMID: 25486867 DOI: 10.1002/hbm.22704] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2014] [Revised: 11/14/2014] [Accepted: 11/18/2014] [Indexed: 11/10/2022] Open
Abstract
A number of genetic polymorphisms are related to individual differences in cognitive performance. Striatal dopamine (DA) functions, associated with cognitive performance, are linked to the TaqIA polymorphism of the DRD2/ANKK1 gene. In humans, presence of an A1 allele of the DRD2/ANKK1-TaqIA polymorphism is related to reduced density of striatal DA D2 receptors. The resource-modulation hypothesis assumes that aging-related losses of neurochemical and structural brain resources modulate the extent to which genetic variations affect cognitive functioning. Here, we tested this hypothesis using functional MRI during long-term memory (LTM) updating in younger and older carriers and noncarriers of the A1-allele of the TaqIa polymorphism. We demonstrate that older A1-carriers have worse memory performance, specifically during LTM updating, compared to noncarriers. Moreover, A1-carriers exhibited less blood oxygen level-dependent (BOLD) activation in left caudate nucleus, a region critical to updating. This effect was only seen in older adults, suggesting magnification of genetic effects on functional brain activity in aging. Further, a positive relationship between caudate BOLD activation and updating performance among non-A1 carriers indicated that caudate activation was behaviorally relevant. These results demonstrate a link between the DRD2/ANKK1-TaqIA polymorphism and neurocognitive deficits related to LTM updating, and provide novel evidence that this effect is magnified in aging.
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Affiliation(s)
- Jonas Persson
- Aging Research Center (ARC), Karolinska Institute and Stockholm University, Gävlegatan 16, Stockholm, Sweden; Department of Psychology, Stockholm University, Stockholm, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, SE-901 87 Umeå, Sweden
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Kalpouzos G, Rizzuto D, Keller L, Fastbom J, Santoni G, Angleman S, Graff C, Bäckman L, Fratiglioni L. Telomerase Gene (hTERT) and Survival: Results From Two Swedish Cohorts of Older Adults. J Gerontol A Biol Sci Med Sci 2014; 71:188-95. [PMID: 25452402 PMCID: PMC4707686 DOI: 10.1093/gerona/glu222] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2014] [Accepted: 10/24/2014] [Indexed: 01/20/2023] Open
Abstract
Telomere length has been associated with longevity. As telomere length is partly determined by the human telomerase reverse transcriptase (hTERT), we investigated the association between an hTERT polymorphism located in its promoter region (−1327T/C) and longevity in two cohorts of older adults. Participants from the Kungsholmen project (KP; n = 1,205) and the Swedish National study of Aging and Care in Kungsholmen (SNAC-K; n = 2,764) were followed for an average period of 7.5 years. The main outcomes were hazard ratios (HR) of mortality and median age at death. In both cohorts, mortality was lower in female T/T carriers, aged 75+ years in KP (HR = 0.8, 95% CI: 0.5–0.9) and 78+ years in SNAC-K (HR = 0.6, 95% CI: 0.4–0.8) compared with female C/C carriers. T/T carriers died 1.8–3 years later than the C/C carriers. This effect was not present in men, neither in SNAC-K women aged 60–72 years. The association was not modified by presence of cancer, cardiovascular diseases, number of chronic diseases, or markers of inflammation, and did not interact with APOE genotype or estrogen replacement therapy. The gender-specific increased survival in T/T carriers can be due to a synergistic effect between genetic background and the life-long exposure to endogenous estrogen.
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Affiliation(s)
- Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Lina Keller
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet and Stockholm University, Stockholm, Sweden. Division of Neurogeriatrics, NVS, Karolinska Institutet, Center for Alzheimer Research at Karolinska Institutet, Stockholm, Sweden
| | - Johan Fastbom
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Giola Santoni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Sara Angleman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Caroline Graff
- Division of Neurogeriatrics, NVS, Karolinska Institutet, Center for Alzheimer Research at Karolinska Institutet, Stockholm, Sweden. Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet and Stockholm University, Stockholm, Sweden. Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden. Stockholm Gerontology Research Center, Stockholm, Sweden
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Lövdén M, Köhncke Y, Laukka EJ, Kalpouzos G, Salami A, Li TQ, Fratiglioni L, Bäckman L. Changes in perceptual speed and white matter microstructure in the corticospinal tract are associated in very old age. Neuroimage 2014; 102 Pt 2:520-30. [DOI: 10.1016/j.neuroimage.2014.08.020] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Revised: 08/08/2014] [Accepted: 08/09/2014] [Indexed: 11/27/2022] Open
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Brehmer Y, Kalpouzos G, Wenger E, Lövdén M. Plasticity of brain and cognition in older adults. Psychol Res 2014; 78:790-802. [PMID: 25261907 DOI: 10.1007/s00426-014-0587-z] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2013] [Accepted: 06/10/2014] [Indexed: 12/11/2022]
Abstract
Aging is typically related to changes in brain and cognition, but the aging process is heterogeneous and differs between individuals. Recent research has started investigating the influence of cognitive and physical training on cognitive performance, functional brain activity, and brain structure in old age. The functional relevance of neural changes and the interactions among these changes following interventions is still a matter of debate. Here we selectively review research on structural and functional brain correlates of training-induced performance changes in healthy older adults and present exemplary longitudinal intervention studies sorted by the type of training applied (i.e., strategy-based training, process-specific training, and physical exercise). Although many training studies have been conducted recently, within each task domain, the number of studies that used comparable methods and techniques to assess behavioral and neural changes is limited. We suggest that future studies should include a multimodal approach to enhance the understanding of the relation between different levels of brain changes in aging and those changes that result from training. Investigating inter-individual differences in intervention-induced behavioral and neuronal changes would provide more information about who would benefit from a specific intervention and why. In addition, a more systematic examination of the time course of training-related structural and functional changes would improve the current level of knowledge about how learning is implemented in the brain and facilitate our understanding of contradictory results.
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Affiliation(s)
- Yvonne Brehmer
- Max Planck Institute for Human Development, Center for Lifespan Psychology, Lentzeallee 94, 14195, Berlin, Germany,
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Papenberg G, Lövdén M, Laukka EJ, Kalpouzos G, Keller L, Graff C, Köhncke Y, Li TQ, Fratiglioni L, Bäckman L. Magnified effects of the COMT gene on white-matter microstructure in very old age. Brain Struct Funct 2014; 220:2927-38. [DOI: 10.1007/s00429-014-0835-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2014] [Accepted: 06/27/2014] [Indexed: 10/25/2022]
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Hooshmand B, Mangialasche F, Kalpouzos G, Solomon A, Jonsson‐Laukka E, Bäckman L, Fratiglioni L, Kivipelto M. O2‐09‐05: VITAMIN B12 AND FOLATE IN RELATION TO THE RATE OF BRAIN ATROPHY IN SUBJECTS AT RISK OF DEMENTIA: A LONGITUDINAL POPULATION BASED STUDY. Alzheimers Dement 2014. [DOI: 10.1016/j.jalz.2014.04.208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Ferencz B, Laukka EJ, Welmer AK, Kalpouzos G, Angleman S, Keller L, Graff C, Lövdén M, Bäckman L. The benefits of staying active in old age: physical activity counteracts the negative influence of PICALM, BIN1, and CLU risk alleles on episodic memory functioning. Psychol Aging 2014; 29:440-9. [PMID: 24660791 DOI: 10.1037/a0035465] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
PICALM, BIN1, CLU, and APOE are top candidate genes for Alzheimer's disease, and they influence episodic memory performance in old age. Physical activity, however, has been shown to protect against age-related decline and counteract genetic influences on cognition. The aims of this study were to assess whether (a) a genetic risk constellation of PICALM, BIN1, and CLU polymorphisms influences cognitive performance in old age; and (b) if physical activity moderates this effect. Data from the SNAC-K population-based study were used, including 2,480 individuals (age range = 60 to 100 years) free of dementia at baseline and at 3- to 6-year follow-ups. Tasks assessing episodic memory, perceptual speed, knowledge, and verbal fluency were administered. Physical activity was measured using self-reports. Individuals who had engaged in frequent health- or fitness-enhancing activities within the past year were compared with those who were inactive. Genetic risk scores were computed based on an integration of risk alleles for PICALM (rs3851179 G allele, rs541458 T allele), BIN1 (rs744373 G allele), and CLU (rs11136000 T allele). High genetic risk was associated with reduced episodic memory performance, controlling for age, education, vascular risk factors, chronic diseases, activities of daily living, and APOE gene status. Critically, physical activity attenuated the effects of genetic risk on episodic memory. Our findings suggest that participants with high genetic risk who maintain a physically active lifestyle show selective benefits in episodic memory performance.
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Affiliation(s)
- Beata Ferencz
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet
| | | | | | - Sara Angleman
- Aging Research Center, Department of NVS, Karolinska Institutet
| | - Lina Keller
- Aging Research Center, Department of NVS, Karolinska Institutet
| | - Caroline Graff
- Department NVS, KI-Alzheimer Disease Research Center, Karolinska Institutet
| | - Martin Lövdén
- Aging Research Center, Department of NVS, Karolinska Institutet
| | - Lars Bäckman
- Aging Research Center, Department of NVS, Karolinska Institutet
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Wang R, Fratiglioni L, Laveskog A, Kalpouzos G, Ehrenkrona CH, Zhang Y, Bronge L, Wahlund LO, Bäckman L, Qiu C. Do cardiovascular risk factors explain the link between white matter hyperintensities and brain volumes in old age? A population-based study. Eur J Neurol 2013; 21:1076-1082. [PMID: 24313901 DOI: 10.1111/ene.12319] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2013] [Accepted: 10/21/2013] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE White matter hyperintensities (WMHs) and brain atrophy frequently coexist in older people. However, it is unclear whether the association between these two brain lesions is dependent on the aging process, a vascular mechanism or genetic susceptibility. It was therefore investigated whether the association between load of WMHs and brain atrophy measures is related to age, vascular risk factors (VRFs) or the APOE-ε4 allele. METHODS This population-based study included 492 participants (age ≥60 years, 59.6% women) free of dementia and stroke. Data on demographics, VRFs and APOE genotypes were collected through interviews, clinical examination and laboratory tests. WMHs on magnetic resonance images were assessed using manual visual rating and automatic volumetric segmentation. Hippocampal and ventricular volumes were manually delineated, whereas total gray matter (GM) volume was measured by automatic segmentation. Data were analyzed with multivariate linear regression models. RESULTS More global WMHs, assessed using either a visual rating scale or a volumetric approach, were significantly associated with lower GM volume and higher ventricular volume; the associations remained significant after adjusting for age, VRFs and the APOE-ε4 allele. In contrast, the association between global WMHs and hippocampal volume was no longer significant after adjusting for age, whereas adjustment for VRFs and APOE-ε4 had no influential effect. CONCLUSION The association of global WMHs with lower GM volume and higher ventricular volume is independent of age, VRFs and APOE-ε4 allele, suggesting that the process of cerebral microvascular disease and neurodegeneration are associated independently of the normal aging process, vascular mechanisms or genetic susceptibility.
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Affiliation(s)
- R Wang
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet (KI) - Stockholm University, Stockholm, Sweden
| | - L Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet (KI) - Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - A Laveskog
- Division of Medical Imaging and Technology, Department of Clinical Science, Intervention and Technology, KI, Stockholm, Sweden
| | - G Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet (KI) - Stockholm University, Stockholm, Sweden
| | - C-H Ehrenkrona
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet (KI) - Stockholm University, Stockholm, Sweden
| | - Y Zhang
- Department of Diagnostic Radiology, Radiation Sciences, Umeå University, Umeå, Sweden
| | - L Bronge
- Division of Medical Imaging and Technology, Department of Clinical Science, Intervention and Technology, KI, Stockholm, Sweden
| | - L-O Wahlund
- Division of Clinical Geriatrics, NVS, Karolinska University Hospital at Huddinge, Stockholm, Sweden
| | - L Bäckman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet (KI) - Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - C Qiu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet (KI) - Stockholm University, Stockholm, Sweden
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Ferencz B, Kalpouzos G, Lövden M, Laukka E, Keller L, Graff C, Fratiglioni L, Bäckman L. P4–239: Genotype patterns for APOE, PICALM and CLU influence episodic memory. Alzheimers Dement 2013. [DOI: 10.1016/j.jalz.2013.05.1631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Ferencz B, Laukka EJ, Lövdén M, Kalpouzos G, Keller L, Graff C, Wahlund LO, Fratiglioni L, Bäckman L. The influence of APOE and TOMM40 polymorphisms on hippocampal volume and episodic memory in old age. Front Hum Neurosci 2013; 7:198. [PMID: 23734114 PMCID: PMC3660657 DOI: 10.3389/fnhum.2013.00198] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2013] [Accepted: 04/29/2013] [Indexed: 01/23/2023] Open
Abstract
Mitochondrial dysfunction is implicated in neurodegenerative disorders, such as Alzheimer's disease (AD). Translocase of outer mitochondrial membrane 40 (TOMM40) may be influential in this regard by influencing mitochondrial neurotoxicity. Little is known about the influence of the TOMM40 gene on hippocampal (HC) volume and episodic memory (EM), particularly in healthy older adults. Thus, we sought to discern the influence of TOMM40 single nucleotide polymorphisms (SNPs), which have previously been associated with medial temporal lobe integrity (rs11556505 and rs2075650), on HC volume and EM. The study sample consisted of individuals from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K) who were free of dementia and known neurological disorders, and 60-87 years of age (n = 424). EM was measured by using a 16-item word list with a 2-min free recall period and delineation of the HC was performed manually. The influence of Apolipoprotein E (APOE) and TOMM40 was assessed by 2 × 2 ANOVAs and partial correlations. There was no effect of APOE and TOMM40 on EM performance and HC volume. However, partial correlations revealed that HC volume was positively associated with free recall performance (r = 0.21, p < 0.01, r (2) = 0.04). When further stratified for TOMM40, the observed association between HC volume and free recall in APOE ε4 carriers was present in combination with TOMM40 rs11556505 any T (r = 0.28, p < 0.01, R (2) = 0.08) and rs2075650 any G (r = 0.28, p < 0.01, R (2) = 0.08) "risk" alleles. This pattern might reflect higher reliance on HC volume for adequate EM performance among APOE ε4 carriers with additional TOMM40 "risk" alleles suggesting that the TOMM40 gene cannot merely be considered a marker of APOE genotype. Nevertheless, neither APOE nor TOMM40 influenced HC volume or EM in this population-based sample of cognitively intact individuals over the age of 60.
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Affiliation(s)
- Beata Ferencz
- Aging Research Center, Karolinska Institutet and Stockholm University Stockholm, Sweden
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