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Saadmaan G, Hall A, Ngandu T, Kemppainen N, Mangialasche F, Wittenberg GM, Matton A, Rinne JO, Kivipelto M, Solomon A. Brain amyloid load, subjective memory complaints, and cognitive trajectories in older individuals at risk for dementia. Eur J Neurol 2024; 31:e16436. [PMID: 39132977 PMCID: PMC11554848 DOI: 10.1111/ene.16436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 06/27/2024] [Accepted: 07/25/2024] [Indexed: 08/13/2024]
Abstract
BACKGROUND AND PURPOSE This study evaluated associations of brain amyloid with 2-year objective and subjective cognitive measures in a trial-ready older general population at risk for dementia. METHODS Forty-eight participants in the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability underwent 11C-Pittsburgh compound B (PiB) positron emission tomography (PET) scans and assessment of cognition (modified Neuropsychological Test Battery [NTB]) and subjective memory complaints (Prospective and Retrospective Memory Questionnaire). RESULTS Mean age was 71.4 ± 5.06 years, and 20 participants (42%) had positive baseline PiB-PET scans. Amyloid positivity was associated with lower NTB executive function at baseline and less favorable 2-year NTB total score and memory trajectories, but not with other objective or subjective cognitive measures. Overall, there was little cognitive decline during 2 years. CONCLUSIONS Amyloid accumulation may affect objective but not necessarily subjective cognition from a very early at-risk stage, although substantial decline likely requires >2 years to occur.
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Affiliation(s)
- Gazi Saadmaan
- Department of Neurology, Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland
| | - Anette Hall
- Department of Neurology, Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and SocietyKarolinska InstituteStockholmSweden
| | - Tiia Ngandu
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and SocietyKarolinska InstituteStockholmSweden
- Population Health UnitFinnish Institute for Health and WelfareHelsinkiFinland
| | - Nina Kemppainen
- Turku PET CenterUniversity of TurkuTurkuFinland
- Division of Clinical NeurosciencesTurku University HospitalTurkuFinland
| | - Francesca Mangialasche
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and SocietyKarolinska InstituteStockholmSweden
- Medical Unit Aging, Theme Inflammation, and AgingKarolinska University HospitalStockholmSweden
| | - Gayle M. Wittenberg
- Neuroscience, Data Science, & Digital HealthJanssen Research & DevelopmentTitusvilleNew JerseyUSA
| | - Anna Matton
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and SocietyKarolinska InstituteStockholmSweden
| | - Juha O. Rinne
- Turku PET CenterUniversity of TurkuTurkuFinland
- Division of Clinical NeurosciencesTurku University HospitalTurkuFinland
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and SocietyKarolinska InstituteStockholmSweden
- Medical Unit Aging, Theme Inflammation, and AgingKarolinska University HospitalStockholmSweden
- Institute of Public Health and Clinical NutritionUniversity of Eastern FinlandKuopioFinland
- Ageing Epidemiology Research Unit, School of Public HealthImperial College LondonLondonUK
| | - Alina Solomon
- Department of Neurology, Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and SocietyKarolinska InstituteStockholmSweden
- Ageing Epidemiology Research Unit, School of Public HealthImperial College LondonLondonUK
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2
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Shao K, Hu X, Kleineidam L, Stark M, Altenstein S, Amthauer H, Boecker H, Buchert R, Buerger K, Butryn M, Cai Y, Cai Y, Cosma NC, Chen G, Chen Z, Daamen M, Drzezga A, Düzel E, Essler M, Ewers M, Fliessbach K, Gaertner FC, Glanz W, Guo T, Hansen N, He B, Janowitz D, Kilimann I, Krause BJ, Lan G, Lange C, Laske C, Li Y, Li R, Liu L, Lu J, Meng F, Munk MH, Peters O, Perneczky R, Priller J, Ramirez A, Rauchmann B, Reimold M, Rominger A, Rostamzadeh A, Roy‐Kluth N, Schneider A, Spottke A, Spruth EJ, Sun P, Teipel S, Wang X, Wei M, Wei Y, Wiltfang J, Yan S, Yang J, Yu X, Zhang M, Zhang L, Wagner M, Jessen F, Han Y, Kuhn E. Amyloid and SCD jointly predict cognitive decline across Chinese and German cohorts. Alzheimers Dement 2024; 20:5926-5939. [PMID: 39072956 PMCID: PMC11497667 DOI: 10.1002/alz.14119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 04/10/2024] [Accepted: 05/11/2024] [Indexed: 07/30/2024]
Abstract
INTRODUCTION Subjective cognitive decline (SCD) in amyloid-positive (Aβ+) individuals was proposed as a clinical indicator of Stage 2 in the Alzheimer's disease (AD) continuum, but this requires further validation across cultures, measures, and recruitment strategies. METHODS Eight hundred twenty-one participants from SILCODE and DELCODE cohorts, including normal controls (NC) and individuals with SCD recruited from the community or from memory clinics, underwent neuropsychological assessments over up to 6 years. Amyloid positivity was derived from positron emission tomography or plasma biomarkers. Global cognitive change was analyzed using linear mixed-effects models. RESULTS In the combined and stratified cohorts, Aβ+ participants with SCD showed steeper cognitive decline or diminished practice effects compared with NC or Aβ- participants with SCD. These findings were confirmed using different operationalizations of SCD and amyloid positivity, and across different SCD recruitment settings. DISCUSSION Aβ+ individuals with SCD in German and Chinese populations showed greater global cognitive decline and could be targeted for interventional trials. HIGHLIGHTS SCD in amyloid-positive (Aβ+) participants predicts a steeper cognitive decline. This finding does not rely on specific SCD or amyloid operationalization. This finding is not specific to SCD patients recruited from memory clinics. This finding is valid in both German and Chinese populations. Aβ+ older adults with SCD could be a target population for interventional trials.
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Affiliation(s)
- Kai Shao
- Department of NeurologyXuanWu Hospital of Capital Medical UniversityBeijingChina
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of PsychiatryMedical FacultyUniversity of CologneCologneGermany
| | - Xiaochen Hu
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of PsychiatryMedical FacultyUniversity of CologneCologneGermany
| | - Luca Kleineidam
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of Old Age Psychiatry and Cognitive DisordersUniversity of Bonn Medical CenterBonnGermany
| | - Melina Stark
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of Old Age Psychiatry and Cognitive DisordersUniversity of Bonn Medical CenterBonnGermany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases (DZNE)BerlinGermany
- Department of Psychiatry and PsychotherapyCharitéBerlinGermany
| | - Holger Amthauer
- Department of Nuclear MedicineCharité ‐ Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, and Humboldt‐Universität zu BerlinBerlinGermany
| | - Henning Boecker
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Clinical Functional Imaging Group, Department of Diagnostic and Interventional RadiologyUniversity Hospital BonnBonnGermany
| | - Ralph Buchert
- Department of Nuclear MedicineCharité ‐ Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, and Humboldt‐Universität zu Berlin and Berlin Institute of HealthBerlinGermany
- Department of Diagnostic and Interventional Radiology and Nuclear MedicineUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE, Munich)MunichGermany
- Institute for Stroke and Dementia Research (ISD)University Hospital, LMU MunichMunichGermany
| | - Michaela Butryn
- German Center for Neurodegenerative Diseases (DZNE)MagdeburgGermany
- Institute of Cognitive Neurology and Dementia Research (IKND)Otto‐von‐Guericke UniversityMagdeburgGermany
| | - Yanning Cai
- Department of clinical biobankXuanWu Hospital of Capital Medical UniversityBeijingChina
| | - Yue Cai
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
| | - Nicoleta Carmen Cosma
- Department of Psychiatry and PsychotherapyCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
| | - Guanqun Chen
- Department of NeurologyBeijing ChaoYang Hospital of Capital Medical UniversityBeijingChina
| | - Zhigeng Chen
- Department of Radiology and Nuclear MedicineXuanWu Hospital of Capital Medical UniversityBeijingChina
| | - Marcel Daamen
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
| | - Alexander Drzezga
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Institute of Neuroscience and Medicine (INM‐2)Molecular Organization of the Brain, Forschungszentrum JülichJülichGermany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE)MagdeburgGermany
- Institute of Cognitive Neurology and Dementia Research (IKND)Otto‐von‐Guericke UniversityMagdeburgGermany
| | - Markus Essler
- Department of Nuclear MedicineUniversity Hospital BonnBonnGermany
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE, Munich)MunichGermany
- Institute for Stroke and Dementia Research (ISD)University Hospital, LMU MunichMunichGermany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of Old Age Psychiatry and Cognitive DisordersUniversity of Bonn Medical CenterBonnGermany
| | | | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE)MagdeburgGermany
- Institute of Cognitive Neurology and Dementia Research (IKND)Otto‐von‐Guericke UniversityMagdeburgGermany
| | - Tengfei Guo
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
| | - Niels Hansen
- Department of Psychiatry and Psychotherapy, University Medical Center GoettingenUniversity of GoettingenGoettingenGermany
| | - Beiqi He
- School of Information and Communication EngineeringHainan UniversityHaikouChina
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD)University Hospital, LMU MunichMunichGermany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE)RostockGermany
- Department of Psychosomatic MedicineRostock University Medical CenterRostockGermany
| | - Bernd J. Krause
- Department of Nuclear MedicineRostock University Medical CentreRostockGermany
| | - Guoyu Lan
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhenChina
| | - Catharina Lange
- Department of Nuclear MedicineCharité ‐ Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, and Humboldt‐Universität zu BerlinBerlinGermany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and PsychotherapyUniversity of TübingenTübingenGermany
| | - Yuxia Li
- Department of NeurologyTangshan Central HospitalTanshanChina
| | - Ruixian Li
- Department of NeurologyXuanWu Hospital of Capital Medical UniversityBeijingChina
| | - Lin Liu
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhenChina
| | - Jie Lu
- Department of Radiology and Nuclear MedicineXuanWu Hospital of Capital Medical UniversityBeijingChina
| | - Fansheng Meng
- Medical Imaging Department of Hainan Cancer HospitalHaikouChina
| | - Matthias H. Munk
- German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
- Department of Psychiatry and PsychotherapyUniversity of TübingenTübingenGermany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE)BerlinGermany
- Department of Psychiatry and PsychotherapyCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE, Munich)MunichGermany
- Department of Psychiatry and PsychotherapyUniversity Hospital, LMU MunichMunichGermany
- Munich Cluster for Systems Neurology (SyNergy) MunichMunichGermany
- Ageing Epidemiology Research Unit (AGE), School of Public HealthImperial College LondonLondonUK
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE)BerlinGermany
- Department of Psychiatry and PsychotherapyCharitéBerlinGermany
- University of Edinburgh and UK DRIEdinburghUK
- School of Medicine, Department of Psychiatry and PsychotherapyTechnical University of MunichMunichGermany
| | - Alfredo Ramirez
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of Old Age Psychiatry and Cognitive DisordersUniversity of Bonn Medical CenterBonnGermany
- Excellence Cluster on Cellular Stress Responses in Aging‐Associated Diseases (CECAD)University of CologneKölnGermany
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital CologneUniversity of CologneKölnGermany
- Department of Psychiatry & Glenn Biggs Institute for Alzheimer's and Neurodegenerative DiseasesSan AntonioTexasUSA
| | - Boris‐Stephan Rauchmann
- Department of Psychiatry and PsychotherapyUniversity Hospital, LMU MunichMunichGermany
- Sheffield Institute for Translational Neuroscience (SITraN)University of SheffieldSheffieldUK
- Department of NeuroradiologyUniversity Hospital LMUMunichGermany
| | - Matthias Reimold
- Department of Nuclear Medicine and Clinical Molecular ImagingEberhard‐Karls‐UniversityTuebingenGermany
| | - Axel Rominger
- Department of Nuclear MedicineLudwig‐Maximilian‐University MunichMunichGermany
- Department of Nuclear Medicine, Inselspital, Bern University HospitalUniversity of BernBernSwitzerland
| | - Ayda Rostamzadeh
- Department of PsychiatryMedical FacultyUniversity of CologneCologneGermany
| | - Nina Roy‐Kluth
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of Old Age Psychiatry and Cognitive DisordersUniversity of Bonn Medical CenterBonnGermany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of NeurologyUniversity of BonnBonnGermany
| | - Eike Jakob Spruth
- German Center for Neurodegenerative Diseases (DZNE)BerlinGermany
- Department of Psychiatry and PsychotherapyCharitéBerlinGermany
| | - Pan Sun
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhenChina
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE)RostockGermany
- Department of Psychosomatic MedicineRostock University Medical CenterRostockGermany
| | - Xiao Wang
- Department of Psychiatry and PsychotherapyCharité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
| | - Min Wei
- Department of NeurologyXuanWu Hospital of Capital Medical UniversityBeijingChina
| | - Yongzhe Wei
- Department of NeurologyXuanWu Hospital of Capital Medical UniversityBeijingChina
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center GoettingenUniversity of GoettingenGoettingenGermany
- German Center for Neurodegenerative Diseases (DZNE)GoettingenGermany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical SciencesUniversity of AveiroAveiroPortugal
| | - Shaozhen Yan
- Department of Radiology and Nuclear MedicineXuanWu Hospital of Capital Medical UniversityBeijingChina
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Jie Yang
- Department of NeurologyXuanWu Hospital of Capital Medical UniversityBeijingChina
| | - Xianfeng Yu
- Department of NeurologyXuanWu Hospital of Capital Medical UniversityBeijingChina
| | - Mingkai Zhang
- Department of NeurologyXuanWu Hospital of Capital Medical UniversityBeijingChina
| | - Liang Zhang
- School of Information and Communication EngineeringHainan UniversityHaikouChina
| | | | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of Old Age Psychiatry and Cognitive DisordersUniversity of Bonn Medical CenterBonnGermany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of PsychiatryMedical FacultyUniversity of CologneCologneGermany
- Excellence Cluster on Cellular Stress Responses in Aging‐Associated Diseases (CECAD)University of CologneKölnGermany
| | - Ying Han
- Department of NeurologyXuanWu Hospital of Capital Medical UniversityBeijingChina
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
- School of Biomedical EngineeringHainan UniversityHaikouChina
- Center of Alzheimer's DiseaseBeijing Institute for Brain DisordersBeijingChina
- National Clinical Research Center for Geriatric DisordersBeijingChina
- The Central Hospital of KaramayXinjiangChina
| | - Elizabeth Kuhn
- German Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of Old Age Psychiatry and Cognitive DisordersUniversity of Bonn Medical CenterBonnGermany
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Zhou C, Jeryous Fares B, Thériault K, Trinh B, Joseph M, Jauhal T, Sheppard C, Labelle PR, Krishnan A, Rabin L, Taler V. Subjective cognitive decline and objective cognitive performance in older adults: A systematic review of longitudinal and cross-sectional studies. J Neuropsychol 2024. [PMID: 39075723 DOI: 10.1111/jnp.12384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 06/22/2024] [Accepted: 07/09/2024] [Indexed: 07/31/2024]
Abstract
Older adults with subjective cognitive decline (SCD) have a higher risk of developing future cognitive decline than those without SCD. However, the association between SCD and objective cognitive performance remains unclear. This PRISMA 2020-compliant systematic review aims to provide a qualitative assessment of the longitudinal and cross-sectional relationship between SCD and objective cognitive performance in different cognitive domains, in neuropsychologically healthy, community-dwelling older adults (average age of 55 or older). To identify pertinent studies, a comprehensive search was conducted from seven databases. The National Heart, Lung and Blood Institute Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies was used to assess the quality of included studies. Inclusion criteria were met by 167 studies, which were full-text and published between 1 January 1982 and 16 May 2023 (inclusive) in the languages of English, French, or Spanish and presenting data on objective cognitive performance in older adults with SCD. Overall, we found that SCD was associated with poorer objective cognitive performance on measures of global cognition and memory longitudinally compared to non-SCD status, but this association was inconsistent in cross-sectional studies. This association became stronger with the use of continuous measures of SCD as opposed to dichotomous measures. Additionally, results highlight the known lack of consistency in SCD assessment among studies and comparatively small number of longitudinal studies in SCD research.
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Affiliation(s)
- Carl Zhou
- Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Kim Thériault
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
- Bruyère Research Institute, Ottawa, Ontario, Canada
| | - Brian Trinh
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
| | - Morgan Joseph
- Department of Psychology, Carleton University, Ottawa, Ontario, Canada
| | - Tegh Jauhal
- School of Medicine, New York Medical College, Valhalla, New York, USA
| | | | | | - Anjali Krishnan
- Brooklyn College of the City University of New York, Brooklyn, New York, USA
| | - Laura Rabin
- Brooklyn College of the City University of New York, Brooklyn, New York, USA
| | - Vanessa Taler
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
- Bruyère Research Institute, Ottawa, Ontario, Canada
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4
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Jadick MF, Robinson T, Farrell ME, Klinger H, Buckley RF, Marshall GA, Vannini P, Rentz DM, Johnson KA, Sperling RA, Amariglio RE. Associations Between Self and Study Partner Report of Cognitive Decline With Regional Tau in a Multicohort Study. Neurology 2024; 102:e209447. [PMID: 38810211 PMCID: PMC11226320 DOI: 10.1212/wnl.0000000000209447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 03/04/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Self-reported cognitive decline is an early behavioral manifestation of Alzheimer disease (AD) at the preclinical stage, often believed to precede concerns reported by a study partner. Previous work shows cross-sectional associations with β-amyloid (Aβ) status and self-reported and study partner-reported cognitive decline, but less is known about their associations with tau deposition, particularly among those with preclinical AD. METHODS This cross-sectional study included participants from the Anti-Amyloid Treatment in Asymptomatic AD/Longitudinal Evaluation of Amyloid Risk and Neurodegeneration studies (N = 444) and the Harvard Aging Brain Study and affiliated studies (N = 231), which resulted in a cognitively unimpaired (CU) sample of individuals with both nonelevated (Aβ-) and elevated Aβ (Aβ+). All participants and study partners completed the Cognitive Function Index (CFI). Two regional tau composites were derived by averaging flortaucipir PET uptake in the medial temporal lobe (MTL) and neocortex (NEO). Global Aβ PET was measured in Centiloids (CLs) with Aβ+ >26 CL. We conducted multiple linear regression analyses to test associations between tau PET and CFI, covarying for amyloid, age, sex, education, and cohort. We also controlled for objective cognitive performance, measured using the Preclinical Alzheimer Cognitive Composite (PACC). RESULTS Across 675 CU participants (age = 72.3 ± 6.6 years, female = 59%, Aβ+ = 60%), greater tau was associated with greater self-CFI (MTL: β = 0.28 [0.12, 0.44], p < 0.001, and NEO: β = 0.26 [0.09, 0.42], p = 0.002) and study partner CFI (MTL: β = 0.28 [0.14, 0.41], p < 0.001, and NEO: β = 0.31 [0.17, 0.44], p < 0.001). Significant associations between both CFI measures and MTL/NEO tau PET were driven by Aβ+. Continuous Aβ showed an independent effect on CFI in addition to MTL and NEO tau for both self-CFI and study partner CFI. Self-CFI (β = 0.01 [0.001, 0.02], p = 0.03), study partner CFI (β = 0.01 [0.003, 0.02], p = 0.01), and the PACC (β = -0.02 [-0.03, -0.01], p < 0.001) were independently associated with MTL tau, but for NEO tau, PACC (β = -0.02 [-0.03, -0.01], p < 0.001) and study partner report (β = 0.01 [0.004, 0.02], p = 0.002) were associated, but not self-CFI (β = 0.01 [-0.001, 0.02], p = 0.10). DISCUSSION Both self-report and study partner report showed associations with tau in addition to Aβ. Additionally, self-report and study partner report were associated with tau above and beyond performance on a neuropsychological composite. Stratification analyses by Aβ status indicate that associations between self-reported and study partner-reported cognitive concerns with regional tau are driven by those at the preclinical stage of AD, suggesting that both are useful to collect on the early AD continuum.
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Affiliation(s)
- Michalina F Jadick
- From the Department of Neurology (M.F.J., H.K., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), and Department of Radiology (M.F.J., K.A.J.), Massachusetts General Hospital, and Center for Alzheimer Research and Treatment (T.R., M.E.F., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Talia Robinson
- From the Department of Neurology (M.F.J., H.K., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), and Department of Radiology (M.F.J., K.A.J.), Massachusetts General Hospital, and Center for Alzheimer Research and Treatment (T.R., M.E.F., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Michelle E Farrell
- From the Department of Neurology (M.F.J., H.K., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), and Department of Radiology (M.F.J., K.A.J.), Massachusetts General Hospital, and Center for Alzheimer Research and Treatment (T.R., M.E.F., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Hannah Klinger
- From the Department of Neurology (M.F.J., H.K., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), and Department of Radiology (M.F.J., K.A.J.), Massachusetts General Hospital, and Center for Alzheimer Research and Treatment (T.R., M.E.F., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Rachel F Buckley
- From the Department of Neurology (M.F.J., H.K., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), and Department of Radiology (M.F.J., K.A.J.), Massachusetts General Hospital, and Center for Alzheimer Research and Treatment (T.R., M.E.F., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Gad A Marshall
- From the Department of Neurology (M.F.J., H.K., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), and Department of Radiology (M.F.J., K.A.J.), Massachusetts General Hospital, and Center for Alzheimer Research and Treatment (T.R., M.E.F., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Patrizia Vannini
- From the Department of Neurology (M.F.J., H.K., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), and Department of Radiology (M.F.J., K.A.J.), Massachusetts General Hospital, and Center for Alzheimer Research and Treatment (T.R., M.E.F., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Dorene M Rentz
- From the Department of Neurology (M.F.J., H.K., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), and Department of Radiology (M.F.J., K.A.J.), Massachusetts General Hospital, and Center for Alzheimer Research and Treatment (T.R., M.E.F., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Keith A Johnson
- From the Department of Neurology (M.F.J., H.K., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), and Department of Radiology (M.F.J., K.A.J.), Massachusetts General Hospital, and Center for Alzheimer Research and Treatment (T.R., M.E.F., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Reisa A Sperling
- From the Department of Neurology (M.F.J., H.K., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), and Department of Radiology (M.F.J., K.A.J.), Massachusetts General Hospital, and Center for Alzheimer Research and Treatment (T.R., M.E.F., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Rebecca E Amariglio
- From the Department of Neurology (M.F.J., H.K., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), and Department of Radiology (M.F.J., K.A.J.), Massachusetts General Hospital, and Center for Alzheimer Research and Treatment (T.R., M.E.F., R.F.B., G.A.M., P.V., D.M.R., K.A.J., R.A.S., R.E.A.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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Iqbal I, Saqib F, Mubarak Z, Latif MF, Wahid M, Nasir B, Shahzad H, Sharifi-Rad J, Mubarak MS. Alzheimer's disease and drug delivery across the blood-brain barrier: approaches and challenges. Eur J Med Res 2024; 29:313. [PMID: 38849950 PMCID: PMC11161981 DOI: 10.1186/s40001-024-01915-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 05/31/2024] [Indexed: 06/09/2024] Open
Abstract
Alzheimer's disease (AD) is a diverse disease with a complex pathophysiology. The presence of extracellular β-amyloid deposition as neuritic plaques and intracellular accumulation of hyper-phosphorylated tau as neurofibrillary tangles remain the core neuropathologic criteria for diagnosing Alzheimer's disease. Nonetheless, several recent basic discoveries have revealed significant pathogenic roles for other essential cellular and molecular processes. Previously, there were not so many disease-modifying medications (DMT) available as drug distribution through the blood-brain barrier (BBB) is difficult due to its nature, especially drugs of polypeptides nature and proteins. Recently FDA has approved lecanemab as DMT for its proven efficacy. It is also complicated to deliver drugs for diseases like epilepsy or any brain tumor due to the limitations of the BBB. After the advancements in the drug delivery system, different techniques are used to transport the medication across the BBB. Other methods are used, like enhancement of brain blood vessel fluidity by liposomes, infusion of hyperosmotic solutions, and local intracerebral implants, but these are invasive approaches. Non-invasive approaches include the formulation of nanoparticles and their coating with polymers. This review article emphasizes all the above-mentioned techniques, procedures, and challenges to transporting medicines across the BBB. It summarizes the most recent literature dealing with drug delivery across the BBB.
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Affiliation(s)
- Iram Iqbal
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan
- Primary and Secondary Healthcare Department, Govt of the Punjab, Lahore, Pakistan
| | - Fatima Saqib
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan.
| | - Zobia Mubarak
- Punjab University College of Pharmacy, University of the Punjab, Lahore, Pakistan
- Primary and Secondary Healthcare Department, Govt of the Punjab, Lahore, Pakistan
| | - Muhammad Farhaj Latif
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan
| | - Muqeet Wahid
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan
| | - Bushra Nasir
- Department of Pharmaceutics, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan
| | - Hamna Shahzad
- Department of Biochemistry, Bahauddin Zakariya University Multan, Multan, Pakistan
| | - Javad Sharifi-Rad
- Department of Biomedical Sciences, College of Medicine, Korea University, Seoul, Republic of Korea.
| | - Mohammad S Mubarak
- Department of Chemistry, The University of Jordan, Amman, 11942, Jordan.
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6
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Prince JB, Davis HL, Tan J, Muller-Townsend K, Markovic S, Lewis DMG, Hastie B, Thompson MB, Drummond PD, Fujiyama H, Sohrabi HR. Cognitive and neuroscientific perspectives of healthy ageing. Neurosci Biobehav Rev 2024; 161:105649. [PMID: 38579902 DOI: 10.1016/j.neubiorev.2024.105649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 03/17/2024] [Accepted: 03/30/2024] [Indexed: 04/07/2024]
Abstract
With dementia incidence projected to escalate significantly within the next 25 years, the United Nations declared 2021-2030 the Decade of Healthy Ageing, emphasising cognition as a crucial element. As a leading discipline in cognition and ageing research, psychology is well-equipped to offer insights for translational research, clinical practice, and policy-making. In this comprehensive review, we discuss the current state of knowledge on age-related changes in cognition and psychological health. We discuss cognitive changes during ageing, including (a) heterogeneity in the rate, trajectory, and characteristics of decline experienced by older adults, (b) the role of cognitive reserve in age-related cognitive decline, and (c) the potential for cognitive training to slow this decline. We also examine ageing and cognition through multiple theoretical perspectives. We highlight critical unresolved issues, such as the disparate implications of subjective versus objective measures of cognitive decline and the insufficient evaluation of cognitive training programs. We suggest future research directions, and emphasise interdisciplinary collaboration to create a more comprehensive understanding of the factors that modulate cognitive ageing.
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Affiliation(s)
- Jon B Prince
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia.
| | - Helen L Davis
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia
| | - Jane Tan
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia
| | - Katrina Muller-Townsend
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia
| | - Shaun Markovic
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia; Discipline of Psychology, Counselling and Criminology, Edith Cowan University, WA, Australia
| | - David M G Lewis
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia
| | | | - Matthew B Thompson
- School of Psychology, Murdoch University, WA, Australia; Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, WA, Australia
| | - Peter D Drummond
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia
| | - Hakuei Fujiyama
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia; Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, WA, Australia
| | - Hamid R Sohrabi
- School of Psychology, Murdoch University, WA, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, WA, Australia; School of Medical and Health Sciences, Edith Cowan University, WA, Australia; Department of Biomedical Sciences, Macquarie University, NSW, Australia.
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7
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Chen Y, Liang L, Wei Y, Liu Y, Li X, Zhang Z, Li L, Deng D. Disrupted morphological brain network organization in subjective cognitive decline and mild cognitive impairment. Brain Imaging Behav 2024; 18:387-395. [PMID: 38147273 DOI: 10.1007/s11682-023-00839-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/01/2023] [Indexed: 12/27/2023]
Abstract
We aim to investigate the alterations in gray matter for subjective cognitive decline (SCD) and mild cognitive impairment (MCI) from the perspective of the human connectome. High-resolution T1-weighted images were acquired from 54 patients with SCD, 95 patients with MCI, and 65 healthy controls (HC). Morphological brain networks (MBN) were constructed using similarities in the distribution of gray matter volumes between regions. The strength of morphological connections and topographic metrics derived from the graph-theoretical analysis were compared. Furthermore, we assessed the relationship between the observed morphological abnormalities and disease severity. According to the results, we found a significantly decreased morphological connection between the somatomotor network and ventral attention network in SCD compared to HC and MCI compared to SCD. The graph-theoretic analysis illustrated disruptions in the whole network organization, where the normalized shortest path increased and the global efficiency (Eg) decreased in MCI compared to SCD. In addition, Montreal Cognitive Assessment scores of SCD patients had a significantly negative correlation with Eg. The primary limitations of the present study include the cross-sectional design, no enrolled AD patients, no assessment of amyloidosis, and the need for more comprehensive neuropsychological tests. Our findings indicate the abnormalities of morphological networks at early stages in the AD continuum, which could be interpreted as compensatory changes to retain a normal level of cognitive function. The present study could provide new insight into the mechanism of AD.
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Affiliation(s)
- Yuxin Chen
- Medical College of Guangxi University, Guangxi University, Nanning, Guangxi, China
- Department of Radiology, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Science, Nanning, Guangxi, China
| | - Lingyan Liang
- Department of Radiology, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Science, Nanning, Guangxi, China
| | - Yichen Wei
- Department of Radiology, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Science, Nanning, Guangxi, China
| | - Ying Liu
- Department of Radiology, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Science, Nanning, Guangxi, China
| | - Xiaocheng Li
- Department of Radiology, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Science, Nanning, Guangxi, China
| | - Zhiguo Zhang
- School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China
- Peng Cheng Laboratory, Shenzhen, Guangdong, China
| | - Linling Li
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, China.
- Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen, Guangdong, China.
| | - Demao Deng
- Medical College of Guangxi University, Guangxi University, Nanning, Guangxi, China.
- Department of Radiology, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Science, Nanning, Guangxi, China.
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Popescu DL, Lee AK, Arthur E, Thompson LI, Alber J. APOE Genotype Disclosure Influences Decisions About Future Planning but not Adoption of Healthy Lifestyle Changes in Cognitively Unimpaired Individuals. J Geriatr Psychiatry Neurol 2024:8919887241237224. [PMID: 38459948 DOI: 10.1177/08919887241237224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/11/2024]
Abstract
BACKGROUND Studies have shown apolipoprotein E (APOE) genotype disclosure to be safe and well-tolerated in cognitively unimpaired (CU) older adults. This study aimed to examine the effect of the disclosure process on decisions about future directives and health behaviors in community-dwelling CU older adults from the Butler Alzheimer's Prevention Registry (BAPR). METHODS CU APOE E4 non-carriers (n = 106) and carriers (n = 80) aged 58-78 completed in-person psychological readiness screening to undergo APOE disclosure. Follow-up assessments were completed online 3 days, 6 weeks, and 6 months post-disclosure. The primary outcomes were future directives, dietary habits, and physical activity scores. RESULTS Disclosure was associated with decision making on future directives in E4 carriers (t = 3.59, P = .01) at 6 months compared to baseline, but not non-carriers. Family history of memory impairment, SCD endorsement, and education consistently predicted scores on future directives. A significant interaction between E4+ and SCD endorsement on future directive scores was noted (OR = 163.06, 9.5-2,799.8). E4 + carrier status was associated with physical activity (W = 60,148, P = .005) but not dietary habits scores. CONCLUSIONS Our findings indicate that disclosure led to a change in future directives but not protective health behaviors, specifically in E4 carriers. Future work will explore whether pairing disclosure with education about the role of lifestyle factors in AD risk and providing guidelines on making risk-lowering lifestyle modifications as an intervention approach leads to positive change.
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Affiliation(s)
- Dominique L Popescu
- Center for Health Outcomes and Interdisciplinary Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Athene K Lee
- Memory and Aging Program, Butler Hospital , Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Edmund Arthur
- School of Optometry, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Louisa I Thompson
- Memory and Aging Program, Butler Hospital , Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Jessica Alber
- Memory and Aging Program, Butler Hospital , Providence, RI, USA
- George and Anne Ryan Institute for Neuroscience, University of Rhode Island, Kingston, RI, USA
- Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI, USA
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Evans SA, Paitel ER, Bhasin R, Nielson KA. Genetic Risk for Alzheimer's Disease Alters Perceived Executive Dysfunction in Cognitively Healthy Middle-Aged and Older Adults. J Alzheimers Dis Rep 2024; 8:267-279. [PMID: 38405345 PMCID: PMC10894609 DOI: 10.3233/adr-230166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 01/17/2024] [Indexed: 02/27/2024] Open
Abstract
Background Subjective cognitive complaints (SCC) may be an early indicator of future cognitive decline. However, findings comparing SCC and objective cognitive performance have varied, particularly in the memory domain. Even less well established is the relationship between subjective and objective complaints in non-amnestic domains, such as in executive functioning, despite evidence indicating very early changes in these domains. Moreover, particularly early changes in both amnestic and non-amnestic domains are apparent in those carrying the Apolipoprotein-E ɛ4 allele, a primary genetic risk for Alzheimer's disease (AD). Objective This study investigated the role of the ɛ4 allele in the consistency between subjective and objective executive functioning in 54 healthy, cognitively intact, middle-aged and older adults. Methods Participants (Mage = 64.07, SD = 9.27, range = 48-84; ɛ4+ = 18) completed the Frontal Systems Behavior Scale (FrSBe) Executive Dysfunction Scale (EXECDYS) to measure subjective executive functioning (SEF) and multiple executive functioning tasks, which were condensed into a single factor. Results After accounting for age, depression, and anxiety, objective executive functioning performance significantly predicted SEF. Importantly, ɛ4 moderated this effect. Specifically, those carrying the ɛ4 allele had significantly less accurate self-awareness of their executive functioning compared to ɛ4 non-carriers. Conclusions Utilizing an approach that integrates self-evaluation of executive functioning with objective neurocognitive assessment may help identify the earliest signs of impending cognitive decline, particularly in those with genetic risk for AD. Such an approach could sensitively determine those most prone to future cognitive decline prior to symptom onset, when interventions could be most effective.
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Affiliation(s)
- Sarah A. Evans
- Department of Psychology, Marquette University, Milwaukee, WI, USA
| | | | - Riya Bhasin
- Department of Psychology, Marquette University, Milwaukee, WI, USA
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Cheng GR, Liu D, Huang LY, Han GB, Hu FF, Wu ZX, He XM, Huang YW, Yu YF, Xu L, Li JQ, Chen YS, Wei Z, Wu Q, Mei YF, Chen XX, Ou YM, Zhang JJ, Yang ML, Lian PF, Tan W, Xie XY, Zeng Y. Prevalence and risk factors for subjective cognitive decline and the correlation with objective cognition among community-dwelling older adults in China: Results from the Hubei memory and aging cohort study. Alzheimers Dement 2023; 19:5074-5085. [PMID: 37186161 DOI: 10.1002/alz.13047] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 02/18/2023] [Accepted: 02/23/2023] [Indexed: 05/17/2023]
Abstract
INTRODUCTION The prevalence and risk factors for subjective cognitive decline (SCD) and its correlation with objective cognition decline (OCD) among community-dwelling older adults is inconsistent. METHODS Older adults underwent neuropsychological and clinical evaluations to reach a consensus on diagnoses. RESULTS This study included 7486 adults without mild cognitive impairment and dementia (mean age: 71.35 years [standard deviation = 5.40]). The sex-, age-, and residence-adjusted SCD prevalence was 58.33% overall (95% confidence interval: 58.29% to 58.37%), with higher rates of 61.25% and 59.87% in rural and female subgroups, respectively. SCD global and OCD language, SCD memory and OCD global, SCD and OCD memory, and SCD and OCD language were negatively correlated in fully adjusted models. Seven health and lifestyle factors were associated with an increased risk for SCD. DISCUSSION SCD affected 58.33% of older adults and may indicate concurrent OCD, which should prompt the initiation of preventative intervention for dementia. HIGHLIGHTS SCD affects 58.33% of older adults in China. SCD may indicate concurrent objective cognitive decline. Difficulty finding words and memory impairments may indicate a risk for AD. The presence of SCD may prompt preventative treatment initiation of MCI or dementia. Social network factors may be initial targets for the early prevention of SCD.
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Affiliation(s)
- Gui-Rong Cheng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Dan Liu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Lin-Ya Huang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Gang-Bin Han
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Fei-Fei Hu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | | | - Xiao-Ming He
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Yu-Wei Huang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Ya-Fu Yu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Lang Xu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Jin-Quan Li
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Yu-Shan Chen
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Zhen Wei
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Qiong Wu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Yu-Fei Mei
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Xing-Xing Chen
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Yang-Ming Ou
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Jing-Jing Zhang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Meng-Liu Yang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Peng-Fei Lian
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Wei Tan
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Xin-Yan Xie
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Yan Zeng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
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Li C, Hong Y, Yang X, Zeng X, Ocepek-Welikson K, Eimicke JP, Kong J, Sano M, Zhu C, Neugroschl J, Aloysi A, Cai D, Martin J, Loizos M, Sewell M, Akrivos J, Evans K, Sheppard F, Greenberg J, Ardolino A, Teresi JA. The use of subjective cognitive complaints for detecting mild cognitive impairment in older adults across cultural and linguistic groups: A comparison of the Cognitive Function Instrument to the Montreal Cognitive Assessment. Alzheimers Dement 2023; 19:1764-1774. [PMID: 36222321 PMCID: PMC10090224 DOI: 10.1002/alz.12804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 07/26/2022] [Accepted: 08/11/2022] [Indexed: 11/11/2022]
Abstract
INTRODUCTION This pilot study aims to explore the psychometric properties of the Cognitive Function Instrument (CFI) as a measure of subjective cognitive complaints (SCC) and its performance in distinguishing mild cognitive impairment (MCI) from normal control (NC) compared to an objective cognitive screen (Montreal Cognitive Assessment [MoCA]). METHODS One hundred ninety-four community-dwelling non-demented older adults with racial/ethnic diversity were included. Unidimensionality and internal consistency of the CFI were examined using factor analysis, Cronbach's alpha, and McDonald's omega. Logistic regression models and receiver operating characteristic (ROC) analysis were used to examine the performance of CFI. RESULTS The CFI demonstrated adequate internal consistency; however, the fit for a unidimensional model was suboptimal. The CFI distinguished MCI from NC alone or in combination with MoCA. ROC analysis showed comparable performance of the CFI and the MoCA. DISCUSSION Our findings support the use of CFI as a brief and easy-to-use screen to detect MCI in culturally/linguistically diverse older adults. HIGHLIGHT What is the key scientific question or problem of central interest of the paper? Subjective cognitive complaints (SCCs) are considered the earliest sign of dementia in older adults. However, it is unclear if SCC are equivalent in different cultures. The Cognitive Function Instrument (CFI) is a 14-item measure of SCC. This study provides pilot data suggesting that CFI is sensitive for detecting mild cognitive impairment in a cohort of older adults with racial/ethnic diversity. Comparing performance, CFI demonstrates comparable sensitivity to the Montreal Cognitive Assessment, an objective cognitive screening test. Overall, SCC may provide a non-invasive, easy-to-use method to flag possible cognitive impairment in both research and clinical settings.
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Affiliation(s)
- Clara Li
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yue Hong
- Salem Hospital, Mass General Brigham, Salem, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Xiao Yang
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Xiaoyi Zeng
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katja Ocepek-Welikson
- Columbia University Stroud Center, New York State Psychiatric Institute, New York, NY, USA
| | | | - Jian Kong
- Research Division, The Hebrew Home at Riverdale, Riverdale, NY, USA
| | - Mary Sano
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, New York, NY, USA
| | - Carolyn Zhu
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, New York, NY, USA
| | - Judith Neugroschl
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Amy Aloysi
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Dongming Cai
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, New York, NY, USA
| | - Jane Martin
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Maria Loizos
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Margaret Sewell
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jimmy Akrivos
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kirsten Evans
- James J. Peters VA Medical Center, New York, NY, USA
| | - Faye Sheppard
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jonathan Greenberg
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Allison Ardolino
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jeanne A. Teresi
- Columbia University Stroud Center, New York State Psychiatric Institute, New York, NY, USA
- Research Division, The Hebrew Home at Riverdale, Riverdale, NY, USA
- Mount Sinai Pepper Older Americans Independence Center, Department of Geriatrics and Palliative Medicine, Mount Sinai Medical Center, New York, NY, USA
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Nallapu BT, Petersen KK, Lipton RB, Grober E, Sperling RA, Ezzati A. Association of Alcohol Consumption with Cognition in Older Population: The A4 Study. J Alzheimers Dis 2023; 93:1381-1393. [PMID: 37182868 PMCID: PMC10392870 DOI: 10.3233/jad-221079] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
BACKGROUND Alcohol use disorders have been categorized as a 'strongly modifiable' risk factor for dementia. OBJECTIVE To investigate the cross-sectional association between alcohol consumption and cognition in older adults and if it is different across sexes or depends on amyloid-β (Aβ) accumulation in the brain. METHODS Cognitively unimpaired older adults (N = 4387) with objective and subjective cognitive assessments and amyloid positron emission tomography (PET) imaging were classified into four categories based on their average daily alcohol use. Multivariable linear regression was then used to test the main effects and interactions with sex and Aβ levels. RESULTS Individuals who reported no alcohol consumption had lower scores on the Preclinical Alzheimer Cognitive Composite (PACC) compared to those consuming one or two drinks/day. In sex-stratified analysis, the association between alcohol consumption and cognition was more prominent in females. Female participants who consumed two drinks/day had better performance on PACC and Cognitive Function Index (CFI) than those who reported no alcohol consumption. In an Aβ-stratified sample, the association between alcohol consumption and cognition was present only in the Aβ- subgroup. The interaction between Aβ status and alcohol consumption on cognition was not significant. CONCLUSION Low or moderate consumption of alcohol was associated with better objective cognitive performance and better subjective report of daily functioning in cognitively unimpaired individuals. The association was present only in Aβ- individuals, suggesting that the pathophysiologic mechanism underlying the effect of alcohol on cognition is independent of Aβ pathology. Further investigation is required with larger samples consuming three or more drinks/day.
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Affiliation(s)
- Bhargav T. Nallapu
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, New York City, NY, USA
| | - Kellen K. Petersen
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, New York City, NY, USA
| | - Richard B. Lipton
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, New York City, NY, USA
| | - Ellen Grober
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, New York City, NY, USA
| | - Reisa A. Sperling
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Ali Ezzati
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, New York City, NY, USA
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13
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Pérez-Blanco L, Felpete A, Patten SB, Mallo SC, Pereiro AX, Campos-Magdaleno M, Juncos-Rabadán O. Do informant-reported subjective cognitive complaints predict progression to mild cognitive impairment and dementia better than self-reported complaints in old adults? A meta-analytical study. Ageing Res Rev 2022; 82:101772. [PMID: 36374732 DOI: 10.1016/j.arr.2022.101772] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 10/05/2022] [Accepted: 10/27/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND Subjective cognitive complaints (SCCs) are considered a risk factor for objective cognitive decline and conversion to dementia. The aim of this study was to determine whether self-reported or informant-reported SCCs best predict progression to mild cognitive impairment (MCI) and/or dementia. METHODS We reviewed prospective longitudinal studies of Cognitively Unimpaired (CU) older adults with self-reported and informant-reported SCCs at baseline, assessed by questions or questionnaires that considered the transition to MCI and/or dementia. A random-effects meta-analysis was performed to obtain pooled estimates and 95% CIs. RESULTS Both self-reported and informant-reported SCCs are associated with an elevated risk of transition from CU to MCI and/or dementia. The association appears stronger and more robust for informant-reported data [1.38, with a 95% CI of 1.16 -1.64, p < 0.001] than for self-reported data [1.27 (95% CI 1.06 - 1.534, p = 0.011]. CONCLUSIONS Our results suggest that corroborated information from one informant could provide important details for distinguishing between normal aging and clinical states.
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Affiliation(s)
- Lucía Pérez-Blanco
- Department of Developmental Psychology, Universidade de Santiago de Compostela, Xosé María Suárez Núñez Street, Campus Sur, Santiago de Compostela, Galicia ES 15782, Spain.
| | - Alba Felpete
- Department of Developmental Psychology, Universidade de Santiago de Compostela, Xosé María Suárez Núñez Street, Campus Sur, Santiago de Compostela, Galicia ES 15782, Spain
| | - Scott B Patten
- Department of Psychiatry, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada
| | - Sabela C Mallo
- Department of Developmental Psychology, Universidade de Santiago de Compostela, Xosé María Suárez Núñez Street, Campus Sur, Santiago de Compostela, Galicia ES 15782, Spain
| | - Arturo X Pereiro
- Department of Developmental Psychology, Universidade de Santiago de Compostela, Xosé María Suárez Núñez Street, Campus Sur, Santiago de Compostela, Galicia ES 15782, Spain
| | - María Campos-Magdaleno
- Department of Developmental Psychology, Universidade de Santiago de Compostela, Xosé María Suárez Núñez Street, Campus Sur, Santiago de Compostela, Galicia ES 15782, Spain
| | - Onésimo Juncos-Rabadán
- Department of Developmental Psychology, Universidade de Santiago de Compostela, Xosé María Suárez Núñez Street, Campus Sur, Santiago de Compostela, Galicia ES 15782, Spain
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14
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Association of Being Accompanied at Medical Consultation and Having Memory Complaints With Cognitive Impairment in Elderly Brazilian Outpatients. Alzheimer Dis Assoc Disord 2022; 36:295-299. [PMID: 35867971 DOI: 10.1097/wad.0000000000000521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 05/16/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND The usefulness of both the presence of a companion at the medical consultation and patient's cognitive complaints as selection strategies for performing a dementia evaluation is still unclear. OBJECTIVES To estimate the association of elderly patients being accompanied during medical visits and patient's memory complaint with objective cognitive impairment. METHODS We included elderly outpatients awaiting medical consultations in 3 non-neurological medical specialties. Demographic and Mini-Mental State Examination were collected. Patients' memory complaints were evaluated with a single question to both patients and companions. RESULTS Five hundred ninety-three elderly patients were included in the study with 64.6% female and median (interquartile range) age 73 (68-78), 4 (2-6) years of education. Of these, 242 patients were accompanied and 62.6% presented memory complaints. The median (interquartile range) Mini-Mental State Examination scores were significantly lower in patients accompanied and in those with memory complaints. In a logistic regression model, age, education, memory complaint, and presence of companion were associated with cognitive impairment. In the model including only accompanied patients, only age and companion memory complaints were associated with objective cognitive impairment. CONCLUSIONS The presence of a companion during a clinical consultation and patients' memory complaints are both synergistically associated with objective cognitive impairment.
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15
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Sabatini S, Siebert JS, Diehl M, Brothers A, Wahl HW. Identifying predictors of self-perceptions of aging based on a range of cognitive, physical, and mental health indicators: Twenty-year longitudinal findings from the ILSE study. Psychol Aging 2022; 37:486-502. [PMID: 34941356 PMCID: PMC10413976 DOI: 10.1037/pag0000668] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Research exploring whether health predicts self-perceptions of aging (SPA) has mostly focused on single predictors and has been hampered by short observational intervals. We examined whether 20-year changes in cognitive functioning, physical and mental health predict SPA. We used data of 103 German participants who remained of a sample of 500 participants born in 1930-1932 enrolled in the Interdisciplinary Longitudinal Study of Adult Development (ILSE) in 1993/1996 (mean age at fourth measurement wave = 82.5 years). Health indicators included six cognitive tests, objective and subjective physical health, and self-reported depression. We used a new and multidimensional (awareness of age-related gains and losses) and a well-established (attitudes toward own aging) measure of SPA. Linear regression analyses showed that, among the cognitive tests, decline in information processing speed (Digit Symbol) predicted less awareness of age-related gains and more awareness of age-related losses but not attitudes toward own aging. Decline in subjective but not objective physical health, predicted more awareness of age-related losses and negative attitudes toward own aging, but not awareness of age-related gains. Increase in depressive symptoms predicted more awareness of age-related losses and negative attitudes toward own aging, but not awareness of age-related gains. The size of associations suggests that objective cognitive decline has limited influence on older adults' SPA and, if so, only when the decline is related to mental slowing. Similarly, perceived physical and mental health, but not objective health, have a small-to-moderate influence on awareness of age-related losses and attitudes toward own aging. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
- Serena Sabatini
- College of Medicine and Health, University of Exeter, Exeter, United Kingdom
| | | | - Manfred Diehl
- Department of Human Development and Family Studies, Colorado State University, Fort Collins, Colorado
| | - Allyson Brothers
- Department of Human Development and Family Studies, Colorado State University, Fort Collins, Colorado
| | - Hans-Werner Wahl
- Institute of Psychology, Heidelberg University, Heidelberg, Germany
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16
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Fu Z, Zhao M, He Y, Wang X, Li X, Kang G, Han Y, Li S. Aberrant topological organization and age-related differences in the human connectome in subjective cognitive decline by using regional morphology from magnetic resonance imaging. Brain Struct Funct 2022; 227:2015-2033. [PMID: 35579698 DOI: 10.1007/s00429-022-02488-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 03/24/2022] [Indexed: 11/25/2022]
Abstract
Subjective cognitive decline (SCD) is characterized by self-experienced deficits in cognitive capacity with normal performance in objective cognitive tests. Previous structural covariance studies showed specific insights into understanding the structural alterations of the brain in neurodegenerative diseases. Moreover, in subjects with neurodegenerative diseases, accelerated brain degeneration with aging was shown. However, the age-related variations in coordinated topological patterns of morphological networks in individuals with SCD remain poorly understood. In this study, 77 individual morphological networks were constructed, including 42 normal controls (NCs) and 35 SCD individuals, from structural magnetic resonance imaging (sMRI). A stepwise linear regression model and partial correlation analysis were constructed to evaluate the differences in age-related alterations of the network properties in individuals with SCD compared with NCs. Compared with NC, the properties of integration and segregation in individuals with SCD were lower, and the aberrant metrics were negatively correlated with age in SCD. The rich-club connections persevered, but the paralimbic system connections were disrupted in individuals with SCD compared with NCs. In addition, age-related differences in nodal global efficiency are distributed mainly in prefrontal cortex regions. In conclusion, the age-related disruption of topological organizations in individuals with SCD may indicate that the degeneration of brain efficiency with aging was accelerated in individuals with SCD.
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Affiliation(s)
- Zhenrong Fu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China
| | - Mingyan Zhao
- Department of Neurology, Tangshan Gongren Hospital, Tangshan, Hebei, China
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Yirong He
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China
| | - Xuetong Wang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China
| | - Xin Li
- School of Electrical Engineering, Yanshan University, Qinhuangdao, China
- Measurement Technology and Instrumentation Key Lab of Hebei Province, Qinhuangdao, China
| | - Guixia Kang
- School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China
| | - Ying Han
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
- Biomedical Engineering Institute, Hainan University, Haikou, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Shuyu Li
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China.
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17
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Montembeault M, Stijelja S, Brambati SM. Self-reported word-finding complaints are associated with cerebrospinal fluid amyloid beta and atrophy in cognitively normal older adults. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12274. [PMID: 35155731 PMCID: PMC8828990 DOI: 10.1002/dad2.12274] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 11/17/2021] [Accepted: 11/19/2021] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Self-reported word-finding difficulties are among the most frequent complaints in cognitively normal (CN) older adults. However, the clinical significance is still debated. METHODS We selected 239 CN from the Alzheimer's Disease Neuroimaging Initiative database who had completed the Everyday Cognition (ECog) questionnaire, as well as a lumbar puncture for amyloid beta (Aβ) and magnetic resonance imaging. RESULTS Word-finding complaints, with a few other memory items, were significantly more severe compared to all other cognitive complaints. Ecog-Lang1 (Forgetting names of objects) severity significantly predicted Aβ levels in CN, even when controlling for general cognitive complaint, demographic, and psychological variables. Individuals with high Ecog-Lang1 complaints showed atrophy in the left fusiform gyrus and the left rolandic operculum compared to CN with low complaints. DISCUSSION Overall, our results support the fact that word-finding complaints should be taken seriously. They have the potential to identify CN at risk of AD and support the need to include other cognitive domains in the investigation of subjective cognitive decline.
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Affiliation(s)
- Maxime Montembeault
- Department of NeurologyUniversity of California San FranciscoMemory & Aging CenterSan FranciscoCaliforniaUSA
- Département de psychologieUniversité de Montréal, Pavillon Marie‐Victorinsuccursale Centre‐villeMontréalQuebecCanada
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM)MontréalQuebecCanada
| | - Stefan Stijelja
- Département de psychologieUniversité de Montréal, Pavillon Marie‐Victorinsuccursale Centre‐villeMontréalQuebecCanada
| | - Simona M. Brambati
- Département de psychologieUniversité de Montréal, Pavillon Marie‐Victorinsuccursale Centre‐villeMontréalQuebecCanada
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM)MontréalQuebecCanada
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18
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Jutten RJ, Thompson L, Sikkes SA, Maruff P, Molinuevo JL, Zetterberg H, Alber J, Faust D, Gauthier S, Gold M, Harrison J, Lee AK, Snyder PJ. A Neuropsychological Perspective on Defining Cognitive Impairment in the Clinical Study of Alzheimer’s Disease: Towards a More Continuous Approach. J Alzheimers Dis 2022; 86:511-524. [DOI: 10.3233/jad-215098] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
The global fight against Alzheimer’s disease (AD) poses unique challenges for the field of neuropsychology. Along with the increased focus on early detection of AD pathophysiology, characterizing the earliest clinical stage of the disease has become a priority. We believe this is an important time for neuropsychology to consider how our approach to the characterization of cognitive impairment can be improved to detect subtle cognitive changes during early-stage AD. The present article aims to provide a critical examination of how we define and measure cognitive status in the context of aging and AD. First, we discuss pitfalls of current methods for defining cognitive impairment within the context of research shifting to earlier (pre)symptomatic disease stages. Next, we introduce a shift towards a more continuous approach for identifying early markers of cognitive decline and characterizing progression and discuss how this may be facilitated by novel assessment approaches. Finally, we summarize potential implications and challenges of characterizing cognitive status using a continuous approach.
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Affiliation(s)
- Roos J. Jutten
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Louisa Thompson
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Memory and Aging Program, Butler Hospital, Providence, RI, USA
| | - Sietske A.M. Sikkes
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Paul Maruff
- The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Alzheimer’s Disease and Other Cognitive Disorders Unit, Hospital Clinic, Barcelona, Spain
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - Jessica Alber
- Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, The University of Rhode Island, Kingston, RI, USA
- George and Anne Ryan Institute for Neuroscience, University of Rhode Island, Kingston, RI, USA
| | - David Faust
- Department of Psychology, University of Rhode Island, Kingston, RI, USA
| | | | | | - John Harrison
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
- Metis Cognition Ltd, Kilmington Common, UK
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, UK
| | - Athene K.W. Lee
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Memory and Aging Program, Butler Hospital, Providence, RI, USA
| | - Peter J. Snyder
- Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, The University of Rhode Island, Kingston, RI, USA
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19
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Atkins AS, Kraus MS, Welch M, Yuan Z, Stevens H, Welsh-Bohmer KA, Keefe RSE. Remote self-administration of digital cognitive tests using the Brief Assessment of Cognition: Feasibility, reliability, and sensitivity to subjective cognitive decline. Front Psychiatry 2022; 13:910896. [PMID: 36090378 PMCID: PMC9448897 DOI: 10.3389/fpsyt.2022.910896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 07/11/2022] [Indexed: 11/13/2022] Open
Abstract
Cognitive impairment is a common and pervasive feature of etiologically diverse disorders of the central nervous system, and a target indication for a growing number of symptomatic and disease modifying drugs. Remotely acquired digital endpoints have been recognized for their potential in providing frequent, real-time monitoring of cognition, but their ultimate value will be determined by the reliability and sensitivity of measurement in the populations of interest. To this end, we describe initial validation of remote self-administration of cognitive tests within a regulatorily compliant tablet-based platform. Participants were 61 older adults (age 55+), including 20 individuals with subjective cognitive decline (SCD). To allow comparison between remote (in-home) and site-based testing, participants completed 2 testing sessions 1 week apart. Results for three of four cognitive domains assessed demonstrated equivalence between remote and site-based tests, with high cross-modality ICCs (absolute agreement) for Symbol Coding (ICC = 0.75), Visuospatial Working Memory (ICC = 0.70) and Verbal Fluency (ICC > 0.73). Group differences in these domains were significant and reflected sensitivity to objective cognitive impairment in the SCD group for both remote and site-based testing (p < 0.05). In contrast, performance on tests of verbal episodic memory suggested inflated performance during unmonitored testing and indicate reliable use of remote cognitive assessments may depend on the construct, as well as the population being tested.
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Affiliation(s)
| | | | | | | | | | - Kathleen A Welsh-Bohmer
- WCG-VeraSci, Durham, NC, United States.,Duke University Medical Center, Durham, NC, United States
| | - Richard S E Keefe
- WCG-VeraSci, Durham, NC, United States.,Duke University Medical Center, Durham, NC, United States
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20
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Reynolds GO, Manning L, Kirn D, Klein H, Hampton O, Burke O, Buckley R, Rentz D, Sperling R, Marshall GA, Amariglio RE. Subjective Cognitive Decline in a Registry Sample: Relation to Psychiatric History, Loneliness, and Personality. J Prev Alzheimers Dis 2022; 9:435-440. [PMID: 35841244 PMCID: PMC8940594 DOI: 10.14283/jpad.2022.31] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 06/09/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND With the increasing focus on prevention of Alzheimer's disease, there is need for characterization of preclinical populations. Local participant registries offer an opportunity to facilitate research engagement via remote data collection, inform recruitment, and characterize preclinical samples, including individuals with subjective cognitive decline. OBJECTIVES We sought to characterize subjective cognitive decline in a registry sample, as related to psychiatric history and related variables, including personality and loneliness, quality of life, and factors related to dementia risk (e.g., family history of dementia). DESIGN, SETTING, PARTICIPANTS Participants were 366 individuals (mean age=67.2 (range 50-88), 65% female, 94% white, 97% non-Hispanic or Latino, 82% with at least a bachelor's degree) with no reported history of mild cognitive impairment or dementia. All participants had expressed interest in research, primarily via community outreach events and prior research involvement. Data was collected via electronic surveys, distributed using REDCap. Electronic questionnaires included questions on demographic variables, subjective cognitive decline, quality of life, loneliness, and personality. RESULTS There was a high prevalence of risk factors for dementia in the registry sample (68% with family history of dementia, 31% with subjective cognitive decline). Subjective cognitive decline was more common in women and associated with history of depression, but not with family history of dementia. Subjective cognitive decline was also associated with lower conscientiousness and lower emotional stability, as well as higher loneliness and lower quality of life. Among participants who endorsed a psychiatric history, most reported onset more than 10 years prior, rather than within the last 10 years. CONCLUSIONS Subjective cognitive decline in a registry sample may be more strongly associated with longstanding psychiatric and personality variables, rather than family history of dementia, adding to the literature on characterization of subjective cognitive decline across different settings. These findings highlight the acceptability of remote data collection and the potential of registries to inform recruitment by characterizing registrants, which may help to stratify dementia risk and match participants to eligible trials.
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Affiliation(s)
- G O Reynolds
- Gretchen Reynolds PhD, 60 Fenwood Road, Boston MA 02115, USA,
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21
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Levine TF, Roe CM, Babulal GM, Fagan AM, Head D. Limited Longitudinal Change in Self-reported Spatial Navigation Ability in Preclinical Alzheimer Disease. Alzheimer Dis Assoc Disord 2022; 36:15-21. [PMID: 34966024 PMCID: PMC8881346 DOI: 10.1097/wad.0000000000000487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 11/10/2021] [Indexed: 01/03/2023]
Abstract
Subtle changes in objective spatial navigation ability have been observed in the preclinical stage of Alzheimer disease (AD) cross-sectionally and have been found to predict clinical progression. However, longitudinal change in self-reported spatial navigation ability in preclinical AD has yet to be examined. The current study examined whether AD biomarkers suggestive of preclinical AD at baseline spatial navigation assessment and APOE genotype predicted decline in self-reported spatial navigation ability and whether APOE genotype moderated the association of AD biomarkers with change in self-reported spatial navigation. Clinically normal (Clinical Dementia Rating Scale=0) adults aged 56 to 90 completed the Santa Barbara Sense of Direction Scale (SBSOD) annually for an average of 2.73 years. Biomarker data was collected within +/-2 years of baseline (ie, cerebrospinal fluid Aβ42, p-tau181, p-tau181/Aβ42 ratio, positron emission tomography imaging with Florbetapir or Pittsburgh Compound-B, and hippocampal volume). APOE genotyping was obtained for all participants. SBSOD demonstrated a nonsignificant trend toward a decline over time (P=0.082). AD biomarkers did not predict change in self-reported spatial navigation (all Ps>0.163). APOE genotype did not moderate the relationship between AD biomarkers and self-reported spatial navigation in planned analyses (all Ps>0.222). Results suggest that self-reported spatial navigation ability, as estimated with the SBSOD, may be limited as a measure of subtle cognitive change in the preclinical stage of AD.
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Affiliation(s)
- Taylor F. Levine
- Department of Psychological and Brain Sciences, Washington University, St. Louis, MO
| | - Catherine M. Roe
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Ganesh M. Babulal
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
- Department of Psychology, Faculty of Humanities, University of Johannesburg, South Africa
| | - Anne M. Fagan
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO
| | - Denise Head
- Department of Psychological and Brain Sciences, Washington University, St. Louis, MO
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO
- Department of Radiology, Washington University School of Medicine, St. Louis, MO
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22
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Jung Y, Viviano RP, van Rooden S, van der Grond J, Rombouts SARB, Damoiseaux JS. White Matter Hyperintensities and Apolipoprotein E Affect the Association Between Mean Arterial Pressure and Objective and Subjective Cognitive Functioning in Older Adults. J Alzheimers Dis 2021; 84:1337-1350. [PMID: 34657884 DOI: 10.3233/jad-210695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND White matter hyperintensities (WMH) show a robust relationship with arterial pressure as well as objective and subjective cognitive functioning. In addition, APOE ɛ4 carriership may influence how arterial pressure affects cognitive functioning. OBJECTIVE To determine the role of region-specific WMH burden and APOE ɛ4 carriership on the relationship between mean arterial pressure (MAP) and cognitive function as well as subjective cognitive decline (SCD). METHODS The sample consisted of 87 cognitively unimpaired middle-aged to older adults aged 50-85. We measured WMH volume for the whole brain, anterior thalamic radiation (ATR), forceps minor, and superior longitudinal fasciculus (SLF). We examined whether WMH burden mediated the relationship between MAP and cognition (i.e., TMT-A score for processing speed; Stroop performance for executive function) as well as SCD (i.e., Frequency of Forgetting (FoF)), and whether APOE ɛ4 carriership moderated that mediation. RESULTS WMH burden within SLF mediated the effect of MAP on Stroop performance. Both whole brain and ATR WMH burden mediated the effect of MAP on FoF score. In the MAP-WMH-Stroop relationship, the mediation effect of SLF WMH and the effect of MAP on SLF WMH were significant only in APOE ɛ4 carriers. In the MAP-WMH-FoF relationship, the effect of MAP on whole brain WMH burden was significant only in ɛ4 carriers. CONCLUSION WMH burden and APOE genotype explain the link between blood pressure and cognitive function and may enable a more accurate assessment of the effect of high blood pressure on cognitive decline and risk for dementia.
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Affiliation(s)
- Youjin Jung
- Department of Psychology, Wayne State University, Detroit, MI, USA.,Institute of Gerontology, Wayne State University, Detroit, MI, USA
| | - Raymond P Viviano
- Department of Psychology, Wayne State University, Detroit, MI, USA.,Institute of Gerontology, Wayne State University, Detroit, MI, USA
| | - Sanneke van Rooden
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Serge A R B Rombouts
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands.,Institute of Psychology, Leiden University, Leiden, Netherlands
| | - Jessica S Damoiseaux
- Department of Psychology, Wayne State University, Detroit, MI, USA.,Institute of Gerontology, Wayne State University, Detroit, MI, USA
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Prominent Cognitive Impairment Sequelae in Adult Survivors of Acute Respiratory Distress Syndrome. Rehabil Nurs 2021; 47:72-81. [PMID: 34657100 DOI: 10.1097/rnj.0000000000000351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
PURPOSE The primary objective of this scoping review was to identify prominent cognitive impairment sequelae in adult survivors of an intensive care unit admission for acute respiratory distress syndrome (ARDS). DESIGN A scoping review was performed. METHODS Search terms were entered into multiple EBSCOhost databases. Articles pertaining to pediatric survivors, not in English, lacking cognitive impairment sequelae, or focused on a single sequela were excluded; 12 articles remained. RESULTS Cognitive impairment developed in 83.5% of patients with ARDS prior to discharge and persisted in 51.3% (n = 300/585) of survivors at the 1 year mark after discharge (range: 16.7%-100% across studies). Prominent sequelae included impairments in executive function, mental processing speed, immediate memory, and attention/concentration. CONCLUSIONS Survivors of an intensive care unit stay for ARDS often develop cognitive impairment persisting long after their admission. Clinicians in rehabilitation facilities should screen for these sequelae and connect survivors with treatment to improve cognitive outcomes. CLINICAL RELEVANCE Early recognition of prominent cognitive impairment sequelae by rehabilitation clinicians and referrals to neuropsychologists by providers are critical to limiting the severity of impairment.
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Fogel H, Levy-Lamdan O, Zifman N, Hiller T, Efrati S, Suzin G, Hack DC, Dolev I, Tanne D. Brain Network Integrity Changes in Subjective Cognitive Decline: A Possible Physiological Biomarker of Dementia. Front Neurol 2021; 12:699014. [PMID: 34526957 PMCID: PMC8435601 DOI: 10.3389/fneur.2021.699014] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 07/07/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: The current study seeks to illustrate potential early and objective neurophysiological biomarkers of neurodegenerative cognitive decline by evaluating features of brain network physiological performance and structure utilizing different modalities. Methods: This study included 17 clinically healthy individuals with self-reported cognitive decline (Subjective Cognitive Decline group, SCD, no objective finding of cognitive decline), 12 individuals diagnosed with amnestic Mild Cognitive Impairment (aMCI), 11 individuals diagnosed with Dementia, and 15 healthy subjects. All subjects underwent computerized cognitive performance testing, MRI scans including T1 for gray matter (GM) volume quantification, DTI for quantification of white matter (WM) microstructure fractional anisotropy (FA) and mean diffusivity (MD), and brain network function evaluation using DELPHI (TMS-EEG) measures of connectivity, excitability, and plasticity. Results: Both DELPHI analysis of network function and DTI analysis detected a significant decrease in connectivity, excitability, and WM integrity in the SCD group compared to healthy control (HC) subjects; a significant decrease was also noted for aMCI and Dementia groups compared to HC. In contrast, no significant decrease was observed in GM volume in the SCD group compared to healthy norms, a significant GM volume decrease was observed only in objectively cognitively impaired aMCI subjects and in dementia subjects. Conclusions: This study results suggest that objective direct measures of brain network physiology and WM integrity may provide early-stage biomarkers of neurodegenerative-related changes in subjects that have not yet displayed any other objective measurable cognitive or GM volume deficits which may facilitate early preventive care for neurodegenerative decline and dementia.
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Affiliation(s)
| | | | - Noa Zifman
- QuantalX Neuroscience, Beer-Yaacov, Israel
| | - Tal Hiller
- QuantalX Neuroscience, Beer-Yaacov, Israel
| | - Shai Efrati
- Sagol Center for Hyperbaric Medicine and Research, Shamir Medical Center, Zerifin, Israel.,Sackler School of Medicine and Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
| | - Gil Suzin
- Sagol Center for Hyperbaric Medicine and Research, Shamir Medical Center, Zerifin, Israel
| | - Dallas C Hack
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, United States
| | | | - David Tanne
- Sackler School of Medicine and Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel.,Stroke and Cognition Institute, Rambam Healthcare Campus, Haifa, Israel
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Cassady KE, Adams JN, Chen X, Maass A, Harrison TM, Landau S, Baker S, Jagust W. Alzheimer's Pathology Is Associated with Dedifferentiation of Intrinsic Functional Memory Networks in Aging. Cereb Cortex 2021; 31:4781-4793. [PMID: 34037210 PMCID: PMC8408467 DOI: 10.1093/cercor/bhab122] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 04/13/2021] [Accepted: 04/14/2021] [Indexed: 11/14/2022] Open
Abstract
In presymptomatic Alzheimer's disease (AD), beta-amyloid plaques (Aβ) and tau tangles accumulate in distinct spatiotemporal patterns within the brain, tracking closely with episodic memory decline. Here, we tested whether age-related changes in the segregation of the brain's intrinsic functional episodic memory networks-anterior-temporal (AT) and posterior-medial (PM) networks-are associated with the accumulation of Aβ, tau, and memory decline using fMRI and PET. We found that AT and PM networks were less segregated in older than that in younger adults and this reduced specialization was associated with more tau and Aβ in the same regions. The effect of network dedifferentiation on memory depended on the amount of Aβ and tau, with low segregation and pathology associated with better performance at baseline and low segregation and high pathology related to worse performance over time. This pattern suggests a compensation phase followed by a degenerative phase in the early, preclinical phase of AD.
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Affiliation(s)
- Kaitlin E Cassady
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Jenna N Adams
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Xi Chen
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Anne Maass
- German Center for Neurodegenerative Disease, Magdeburg 39120, Germany
| | - Theresa M Harrison
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Susan Landau
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Suzanne Baker
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - William Jagust
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
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Schwarz C, Lange C, Benson GS, Horn N, Wurdack K, Lukas M, Buchert R, Wirth M, Flöel A. Severity of Subjective Cognitive Complaints and Worries in Older Adults Are Associated With Cerebral Amyloid-β Load. Front Aging Neurosci 2021; 13:675583. [PMID: 34408640 PMCID: PMC8365025 DOI: 10.3389/fnagi.2021.675583] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 06/22/2021] [Indexed: 01/19/2023] Open
Abstract
Subjective cognitive decline (SCD) is considered an early risk stage for dementia due to Alzheimer's disease (AD) and the development of pathological brain changes, such as the aggregation of amyloid-beta (amyloid-β) plaques. This study evaluates the association between specific features of SCD and cerebral amyloid-β load measured by positron emission tomography (PET) with 18F-florbetaben in 40 cognitively normal older individuals. Global amyloid-β, as well as regional amyloid-β load for the frontal, temporal, parietal, and cingulate cortex, was quantified. Specific features of SCD, such as subjective cognitive complaints and worry, were assessed using the 39-item Everyday Cognition Scales and the 16-item Penn State Worry Questionnaire. Spearman's rank partial correlation analyses, adjusted for age and apolipoprotein E ε4 status, were conducted to test the associations between specific features of SCD and cerebral amyloid-β load. The severity of subjective cognitive complaints in everyday memory and organization was positively correlated with amyloid-β load in the frontal cortex. In addition, the severity of subjective cognitive complaints in everyday planning was positively correlated with amyloid-β load in the parietal cortex. Higher levels of worry were associated with higher amyloid-β load in the frontal cortex. After correction of the PET data for partial volume effects, these associations were reduced to trend level. In conclusion, the severity of subjective cognitive complaints and the level of trait worry were positively associated with cortical amyloid-β burden, particularly in the frontal and parietal cortex. Further studies are required to elucidate the direction of these associations in order to develop strategies to prevent amyloid deposition and cognitive decline.
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Affiliation(s)
- Claudia Schwarz
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Catharina Lange
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Gloria S Benson
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Nora Horn
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Katharina Wurdack
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Mathias Lukas
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Siemens Healthcare GmbH, Berlin, Germany
| | - Ralph Buchert
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Department for Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Miranka Wirth
- German Center for Neurodegenerative Diseases (DZNE) Site: Dresden, Dresden, Germany
| | - Agnes Flöel
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany.,German Center for Neurodegenerative Diseases (DZNE) Site: Greifswald, Greifswald, Germany
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27
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Ryan MM, Gillen DL, Grill JD. Reasons for undergoing amyloid imaging among cognitively unimpaired older adults. Ann Clin Transl Neurol 2021; 8:1646-1655. [PMID: 34227249 PMCID: PMC8351390 DOI: 10.1002/acn3.51414] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 05/14/2021] [Accepted: 06/06/2021] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES Preclinical Alzheimer's disease (AD) clinical trials screen cognitively unimpaired older adults for biomarker criteria and disclose their results. We examined whether participants in the Anti-Amyloid Treatment in Asymptomatic Alzheimer's disease Study with "elevated" and "not elevated" amyloid differed in scores on the "Views and Perceptions of Amyloid Imaging" questionnaire. We hypothesized that, prior to disclosure, those with elevated amyloid would score higher than those with not elevated amyloid. We also quantified how responses changed after result disclosure. METHODS We assessed data from 4327 individuals who completed the questionnaire at screening visit 1 and after amyloid disclosure. We used linear regression models to assess the relationship between questionnaire category scores and amyloid status. We also quantified the relationship between category score changes and amyloid status. RESULTS Overall, participants scored altruism and contribution to research as the strongest motivations for undergoing amyloid imaging. Those with elevated amyloid scored 0.23 points higher in the Perceived Risk category, on average, than those who had not elevated amyloid prior to disclosure; this effect attenuated towards zero after adjusting for Cognitive Function Instrument score. After disclosure, participants with elevated amyloid demonstrated less within-subject change in Perceived Risk, on average, compared to those with similar pre-disclosure scores who had not elevated amyloid, while demonstrating greater changes in the altruism and planning categories. INTERPRETATION Altruism and learning disease risk motivated enrollment in this preclinical AD trial. Participants with elevated amyloid differed from their not elevated counterparts in their perceptions of amyloid imaging, even before undergoing the procedure.
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Affiliation(s)
- Mary M. Ryan
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
- Department of StatisticsUniversity of CaliforniaIrvineCaliforniaUSA
| | - Daniel L. Gillen
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
- Department of StatisticsUniversity of CaliforniaIrvineCaliforniaUSA
| | - Joshua D. Grill
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
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Vecchio I, Sorrentino L, Paoletti A, Marra R, Arbitrio M. The State of The Art on Acetylcholinesterase Inhibitors in the Treatment of Alzheimer's Disease. J Cent Nerv Syst Dis 2021; 13:11795735211029113. [PMID: 34285627 PMCID: PMC8267037 DOI: 10.1177/11795735211029113] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 06/10/2021] [Indexed: 12/03/2022] Open
Abstract
Alzheimer's disease (AD) is a chronic disabling disease that affects the central nervous system. The main consequences of AD include the decline of cognitive functions and language disorders. One of the causes leading to AD is the decrease of neurotransmitter acetylcholine (ACh) levels in the brain, in part due to a higher activity of acetylcholinesterase (AChE), the enzyme responsible for its degradation. Many acetylcholinesterase inhibitors (AChEIs), both natural and synthetic, have been developed and used through the years to counteract the progression of the disease. The first of such drugs approved for a therapeutic use was tacrine, that binds through a reversible bond to the enzyme. However, tacrine has since been withdrawn because of its adverse effects. Currently, donepezil and galantamine are very promising AChEIs with clinical benefits. Moreover, rivastigmine is considered a pseudo-irreversible compound with anti-AChE action, providing similar effects at the clinical level. The purpose of this review is to provide an overview of what has been published over the last decade on the effectiveness of AChEIs in AD, analysing the most relevant issues under the clinical and methodological profiles and the consequent possible welfare effects for the whole world. Furthermore, novel drugs and possible therapeutic approaches are also discussed.
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Affiliation(s)
- Immacolata Vecchio
- Institute for Biomedical Research and Innovation of the National Research Council, Catanzaro, Italy
| | | | - Annamaria Paoletti
- Institute for Biomedical Research and Innovation of the National Research Council, Catanzaro, Italy
| | - Rosario Marra
- Institute for Biomedical Research and Innovation of the National Research Council, Catanzaro, Italy
| | - Mariamena Arbitrio
- Institute for Biomedical Research and Innovation of the National Research Council, Catanzaro, Italy
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Kiselica AM. Empirically defining the preclinical stages of the Alzheimer's continuum in the Alzheimer's Disease Neuroimaging Initiative. Psychogeriatrics 2021; 21:491-502. [PMID: 33890392 PMCID: PMC8819647 DOI: 10.1111/psyg.12697] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 01/05/2021] [Accepted: 03/22/2021] [Indexed: 11/30/2022]
Abstract
AIM The National Institute on Aging and the Alzheimer's Association published new research criteria defining the Alzheimer's continuum (AC) by the presence of positive amyloid-β biomarkers. Symptom severity of those on the AC is staged across six levels, including two preclinical stages (stages 1 and 2). AC stage 2 is defined by the presence of at least one of the following: (i) transitional cognitive decline; (ii) subjective cognitive decline; or (iii) neurobehavioural symptoms. In contrast, AC stage 1 is defined by the absence of symptoms. METHODS Initial empirical definitions for each symptom class were developed. These empirical criteria were then applied in a sample of 285 cognitively normal, amyloid-positive individuals from the Alzheimer's Disease Neuroimaging Initiative for purposes of AC stage 1 and 2 classification. RESULTS In this sample, 56.10% of participants were asymptomatic and classified as AC stage 1. In contrast, 42.46% of individuals were positive for at least one symptom class: 22.11% for transitional cognitive decline, 20.35% for subjective cognitive decline, and 14.74% for neurobehavioural symptoms. AC stage was a predictor of cognitive/functional decline over 4 years of follow up in a longitudinal growth model (B = 0.33, P < 0.001). CONCLUSIONS Results provide a methodology to operationalize the National Institute on Aging and the Alzheimer's Association AC stage 1 and 2 criteria and include preliminary evidence of the validity of this approach. The methods outlined in this manuscript can be used to test hypotheses regarding prodromal Alzheimer's disease, as well as implemented in clinical trial selection procedures.
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Affiliation(s)
- Andrew M Kiselica
- Department of Health Psychology, University of Missouri, Columbia, Missouri, USA
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30
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Putting memory complaints in context matters. Int Psychogeriatr 2021; 33:645-646. [PMID: 34308816 DOI: 10.1017/s1041610220001672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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31
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YU XIAOFENG, ZHU ZHILONG, ZHENG SHUZHAN, JIANG JIAN, JIANG JUANJUAN, CHU ZHAOHU. IN VIVO ASSESSMENT OF AMYLOID AND GLUCOSE SIGNATURES IN SUBJECTIVE COGNITIVE DECLINE SUBJECTS. J MECH MED BIOL 2021. [DOI: 10.1142/s0219519421400182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Subjective cognitive decline (SCD), characterized by self-perceived subtle cognitive impairment ahead of the appearance of explicit and measurable cognitive deficits, is regarded as the preclinical manifestation of the pathological change continuum of Alzheimer’s disease (AD). We were committed to exploring the amyloid and glucose metabolic signatures related to imminent brain metabolic changes in SCD subjects. This study included 39 subjects (mean age = 71.9 years; 14 males and 25 females) diagnosed with SCD disease and 39 gender-matched healthy controls (HCs) (mean age = 75.2; 16 males and 23 females) with brain [18F] fluorodeoxyglucose positron emission tomography (PET) images and [18F] florbetapir PET images. The standardized uptake value ratios (SUVRs) of PET images within the regions of interest (ROIs) were calculated. Inter-group SUVR differences were assessed by two-sample [Formula: see text]-testing and receiver operating characteristic curve (ROC) analyses. A generalized linear model (GLM) was employed to evaluate the correlations between amyloid and FDG uptake. Compared with HCs, SCD subjects showed significantly increased amyloid SUVR, as well as significantly increased glucose SUVR in the olfactory, amygdala, thalamus, heschl gyrus, superior and middle temporal gyrus and temporal pole (all [Formula: see text]). The amyloid SUVR of thalamus was found to have a better ROC result (area under the curve (AUC): 0.77, 95% confidence interval (CI): 0.66–0.86) in the HC group, as was the case with the glucose SUVR of the middle temporal gyrus (AUC: 0.83, 95% CI: 0.73–0.91). There were significant positive correlations between amyloid and glucose SUVRs ([Formula: see text]). The amyloid SUVR of the thalamus showed a significantly better main effect (odd ratio [Formula: see text] 2.91, 95% CI: 1.44–6.7, [Formula: see text]), and the glucose SUVR of the heschl gyrus indicated an enhanced main effect (odd ratio [Formula: see text] 5.08, 95% CI: 1.86–18.15, [Formula: see text]). SCD subjects demonstrated significant amyloid accumulation and glucose hypermetabolism in specific brain regions, and amyloid pathology overlapped with regions of glucose abnormality. These findings may advance the understanding of imminent pathological changes in the SCD stage and help to provide clinical guidelines for interventional management.
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Affiliation(s)
- XIAOFENG YU
- Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Anhui 241000, P. R. China
- School of Electrical Engineering, Anhui Polytechnic University, Anhui 241000, P. R. China
| | - ZHILONG ZHU
- Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Anhui 241000, P. R. China
- School of Electrical Engineering, Anhui Polytechnic University, Anhui 241000, P. R. China
| | - SHUZHAN ZHENG
- Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Anhui 241000, P. R. China
- School of Electrical Engineering, Anhui Polytechnic University, Anhui 241000, P. R. China
| | - JIAN JIANG
- Center of Reproductive Medicine, Yijishan Hospital of Wannan Medical College, Anhui 241001, P. R. China
| | - JUANJUAN JIANG
- Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Anhui 241000, P. R. China
- School of Electrical Engineering, Anhui Polytechnic University, Anhui 241000, P. R. China
| | - ZHAOHU CHU
- Department of Neurology, Yijishan Hospital of Wannan Medical College, Anhui 241000, P. R. China
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Cortese M, Bjornevik K, Chitnis T, Ascherio A, Munger KL. Aging with multiple sclerosis: A longitudinal study of physical function, mental health, and memory in two cohorts of US women. Mult Scler 2021; 28:121-131. [PMID: 33860717 DOI: 10.1177/13524585211007739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND It is unknown how individuals with multiple sclerosis (MS) age compared to unaffected peers. OBJECTIVES The objective of the study is to describe the impact of MS on health and functioning in aging women. METHODS We used 10-item Physical Functioning Scale (PF10) scores (from the Short Form-36 (SF-36)) and other indicators of general, physical, mental health, and memory collected repeatedly over 25 years with self-administered questionnaires among participants in the Nurses' Health Study (n = 121,700 recruited at ages 30-55) and Nurses' Health Study II (n = 116,429 recruited at ages 25-42) to compare women with MS (n = 733) to unaffected peers in their health and disability, and describe/quantify the burden of aging with MS. RESULTS Women with MS had a consistently lower PF10 by 0.9-1.7 standard deviations with greater overall variability than unaffected women. PF10-scores gradually decreased with increasing age in both groups, but MS cases declined 3-4 times faster in midlife, while decline was similar in old age. The physical function score of 45-year-old women with MS was comparable to that of 75-year-old unaffected women; 70-year-old women with MS scored similarly to 85-year-old unaffected women. MS cases also reported worse health/more disability throughout adulthood on the other indicators. CONCLUSION The age-related decline in physical health is accelerated by 15-30 years in MS patients compared to unaffected peers.
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Affiliation(s)
- Marianna Cortese
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kjetil Bjornevik
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tanuja Chitnis
- Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Boston, MA, USA
| | - Alberto Ascherio
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA/Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA/Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kassandra L Munger
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Mogle J, Hill NL, Bell TR, Bhargava S, Bratlee-Whitaker E. The Factor Structure of Items Assessing Subjective Memory: Between-Persons and Within-Persons across Time. Gerontology 2021; 67:357-364. [PMID: 33706325 DOI: 10.1159/000513728] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 12/13/2020] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Current understanding of the psychometric properties of items intended to assess the multidimensional construct of subjective memory (SM) is limited, as longitudinal studies of aging commonly use single items or brief sets of items to assess SM. Investigating how SM items cluster within individuals over time would increase the understanding of how combining these items impacts their utility as an early indicator of cognitive change in the aging trajectory. To address this need, the current study examined the factor structure of a brief set of SM items in an existing longitudinal study focused on cognitive aging at both the within-person and between-person levels. METHODS Data were drawn from the Einstein Aging Study, a longitudinal cohort study of aging (N = 1,239, Mage = 77.51, SD = 5.03; 69.50% white; 24.27% black; 6.23% other). Community-dwelling older adults from an urban area of New York City were interviewed annually. At each wave, participants responded to 6 items intended to assess SM. Items assessed participants' perceived memory decline as well as current memory ability. Multilevel exploratory factor analyses examined which factor solution best fit the data at between-person and within-person levels. RESULTS Factor structure of the SM items varied at the two levels. At the within-person level, two factors emerged, whereas at the between-person level, a single factor best represented the SM items. Items assessing perceived declines in memory functioning tended to have similar trajectories, while items assessing current memory ability were less related to change over time. CONCLUSION Items appeared to assess two different dimensions of SM when examining within-person changes in SM across time; however, the item structure suggested no other items covaried systematically within persons over time. In contrast to the conceptualization of SM as a multidimensional construct, our findings suggest that when measuring SM between individuals, SM items tend to capture a single dimension underlying SM. This may be due to the long retrospection period of items assessing perceived memory ability. A single item assessing perceived memory decline in older adults without evidence of objective cognitive impairment may be sufficient to monitor memory change in clinical or research settings.
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Affiliation(s)
- Jacqueline Mogle
- Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania, USA,
| | - Nikki L Hill
- College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Tyler Reed Bell
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Sakshi Bhargava
- College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Emily Bratlee-Whitaker
- College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
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Sperling RA, Donohue MC, Raman R, Sun CK, Yaari R, Holdridge K, Siemers E, Johnson KA, Aisen PS. Association of Factors With Elevated Amyloid Burden in Clinically Normal Older Individuals. JAMA Neurol 2021; 77:735-745. [PMID: 32250387 DOI: 10.1001/jamaneurol.2020.0387] [Citation(s) in RCA: 195] [Impact Index Per Article: 65.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Importance The Anti-Amyloid Treatment in Asymptomatic Alzheimer disease (A4) Study is an ongoing prevention trial in clinically normal older individuals with evidence of elevated brain amyloid. The large number of participants screened with amyloid positron emission tomography (PET) and standardized assessments provides an unprecedented opportunity to evaluate factors associated with elevated brain amyloid. Objective To investigate the association of elevated amyloid with demographic and lifestyle factors, apolipoprotein E (APOE), neuropsychological testing, and self- and study partner reports of cognitive function. Design, Setting, and Participants This cross-sectional study included screening data in the Anti-Amyloid Treatment in Asymptomatic Alzheimer Disease (A4) Study collected from April 2014 to December 2017 and classified by amyloid status. Data were was analyzed from 2018 to 2019 across 67 sites in the US, Canada, Australia, and Japan and included 4486 older individuals (age 65-85 years) who were eligible for amyloid PET (clinically normal [Clinical Dementia Rating = 0] and cognitively unimpaired [Mini-Mental State Examination score, ≥25; logical memory IIa 6-18]). Main Outcomes and Measures Screening demographics, lifestyle variables, APOE genotyping, and cognitive testing (Preclinical Alzheimer Cognitive Composite), self- and study partner reports of high-level daily cognitive function (Cognitive Function Index). Florbetapir amyloid PET imaging was used to classify participants as having elevated amyloid (Aβ+) or not having elevated amyloid (Aβ-). Results Amyloid PET results were acquired for 4486 participants (mean [SD] age, 71.29 [4.67] years; 2647 women [59%]), with 1323 (29.5%) classified as Aβ+. Aβ+ participants were slightly older than Aβ-, with no observed differences in sex, education, marital or retirement status, or any self-reported lifestyle factors. Aβ+ participants were more likely to have a family history of dementia (3320 Aβ+ [74%] vs 3050 Aβ- [68%]) and at least 1 APOE ε4 allele (2602 Aβ+ [58%] vs 1122 Aβ- [25%]). Aβ+ participants demonstrated worse performance on screening Preclinical Alzheimer Cognitive Composite results and reported higher change scores on the Cognitive Function Index. Conclusions and Relevance Among a large group of older individuals screening for an Alzheimer disease (AD) prevention trial, elevated brain amyloid was associated with family history and APOE ε4 allele but not with multiple other previously reported risk factors for AD. Elevated amyloid was associated with lower test performance results and increased reports of subtle recent declines in daily cognitive function. These results support the hypothesis that elevated amyloid represents an early stage in the Alzheimer continuum and demonstrate the feasibility of enrolling these high-risk participants in secondary prevention trials aimed at slowing cognitive decline during the preclinical stages of AD.
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Affiliation(s)
- Reisa A Sperling
- Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Harvard Aging Brain Study, Departments of Neurology and Radiology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Michael C Donohue
- Alzheimer Therapeutic Research Institute, Keck School of Medicine, University of Southern California, San Diego
| | - Rema Raman
- Alzheimer Therapeutic Research Institute, Keck School of Medicine, University of Southern California, San Diego
| | - Chung-Kai Sun
- Alzheimer Therapeutic Research Institute, Keck School of Medicine, University of Southern California, San Diego
| | - Roy Yaari
- Eli Lilly & Co, Indianapolis, Indiana
| | | | - Eric Siemers
- Eli Lilly & Co, Indianapolis, Indiana.,Siemers Integration LLC
| | - Keith A Johnson
- Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Harvard Aging Brain Study, Departments of Neurology and Radiology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Paul S Aisen
- Alzheimer Therapeutic Research Institute, Keck School of Medicine, University of Southern California, San Diego
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Li S, Daamen M, Scheef L, Gaertner FC, Buchert R, Buchmann M, Buerger K, Catak C, Dobisch L, Drzezga A, Ertl-Wagner B, Essler M, Fliessbach K, Haynes JD, Incesoy EI, Kilimann I, Krause BJ, Lange C, Laske C, Priller J, Ramirez A, Reimold M, Rominger A, Roy N, Scheffler K, Maurer A, Schneider A, Spottke A, Spruth EJ, Teipel SJ, Tscheuschler M, Wagner M, Wolfsgruber S, Düzel E, Jessen F, Peters O, Boecker H. Abnormal Regional and Global Connectivity Measures in Subjective Cognitive Decline Depending on Cerebral Amyloid Status. J Alzheimers Dis 2021; 79:493-509. [PMID: 33337359 DOI: 10.3233/jad-200472] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Amyloid-β accumulation was found to alter precuneus-based functional connectivity (FC) in mild cognitive impairment (MCI) and Alzheimer's disease (AD) dementia, but its impact is less clear in subjective cognitive decline (SCD), which in combination with AD pathologic change is theorized to correspond to stage 2 of the Alzheimer's continuum in the 2018 NIA-AA research framework. OBJECTIVE This study addresses how amyloid pathology relates to resting-state fMRI FC in SCD, especially focusing on the precuneus. METHODS From the DELCODE cohort, two groups of 24 age- and gender-matched amyloid-positive (SCDAβ+) and amyloidnegative SCD (SCDβ-) patients were selected according to visual [18F]-Florbetaben (FBB) PET readings, and studied with resting-state fMRI. Local (regional homogeneity [ReHo], fractional amplitude of low-frequency fluctuations [fALFF]) and global (degree centrality [DC], precuneus seed-based FC) measures were compared between groups. Follow-up correlation analyses probed relationships of group differences with global and precuneal amyloid load, as measured by FBB standard uptake value ratios (SUVR=⫖FBB). RESULTS ReHo was significantly higher (voxel-wise p < 0.01, cluster-level p < 0.05) in the bilateral precuneus for SCDAβ+patients, whereas fALFF was not altered between groups. Relatively higher precuneus-based FC with occipital areas (but no altered DC) was observed in SCDAβ+ patients. In this latter cluster, precuneus-occipital FC correlated positively with global (SCDAβ+) and precuneus SUVRFBB (both groups). CONCLUSION While partial confounding influences due to a higher APOE ε4 carrier ratio among SCDAβ+ patients cannot be excluded, exploratory results indicate functional alterations in the precuneus hub region that were related to amyloid-β load, highlighting incipient pathology in stage 2 of the AD continuum.
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Affiliation(s)
- Shumei Li
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Marcel Daamen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Lukas Scheef
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Radiology, University Hospital Bonn, Bonn, Germany
| | | | - Ralph Buchert
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Martina Buchmann
- German Center for Neurodegenerative Diseases (DZNE), Tuebingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tuebingen, Tuebingen, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilian University Munich, Munich, Germany
| | - Cihan Catak
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilian University Munich, Munich, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Alexander Drzezga
- Department of Nuclear Medicine, University Hospital of Cologne, Cologne, Germany
| | - Birgit Ertl-Wagner
- Institute for Clinical Radiology, Ludwig-Maximilian University Munich, Munich, Germany.,Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Markus Essler
- Department of Nuclear Medicine, University Hospital Bonn, Bonn, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - John Dylan Haynes
- Bernstein Center for Computational Neuroscience, Charité - Universitätsmedizin, Berlin, Germany
| | - Enise Irem Incesoy
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Charité -Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald.,Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Bernd J Krause
- Department of Nuclear Medicine, Rostock University Medical Centre, Rostock, Germany
| | - Catharina Lange
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tuebingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tuebingen, Tuebingen, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany
| | - Alfredo Ramirez
- Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany.,Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
| | - Matthias Reimold
- Department of Nuclear Medicine and Clinical Molecular Imaging, Eberhard-Karls-University Tuebingen, Tuebingen, Germany
| | - Axel Rominger
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilian University Munich, Munich, Germany.,Department of Nuclear Medicine, Bern University Hospital, Bern, Switzerland
| | - Nina Roy
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tuebingen, Tuebingen, Germany
| | - Angelika Maurer
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Radiology, University Hospital Bonn, Bonn, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Eike Jakob Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany
| | - Stefan J Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald.,Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Maike Tscheuschler
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany.,Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Charité -Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Henning Boecker
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Radiology, University Hospital Bonn, Bonn, Germany
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Liew TM. Trajectories of subjective cognitive decline, and the risk of mild cognitive impairment and dementia. Alzheimers Res Ther 2020; 12:135. [PMID: 33109275 PMCID: PMC7592368 DOI: 10.1186/s13195-020-00699-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Accepted: 10/01/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND In cognitively normal individuals, subjective cognitive decline (SCD) has been reported to predict MCI and dementia (MCI/dementia). However, prior studies mostly captured SCD at single time-points without considering the longitudinal course of SCD. This study examined whether the trajectories of SCD provide any added information-beyond one-time assessments of SCD-on the risk of MCI/dementia. METHODS This cohort study included 5661 participants from the Alzheimer's Disease Centers across the USA, who were ≥ 50 years and had normal cognition in the first-four annual visits (year 1 to year 4). The participants were evaluated for SCD in the first-four annual visits (year 1 to year 4), and followed-up almost annually (year 4 up to year 14) for incident MCI/dementia. SCD trajectories (as identified from latent-class-growth-curve-analysis) were included in Cox regression to estimate their risks of MCI/dementia, with analyses further stratified by age (< 75 years versus ≥ 75 years; based on median-split). RESULTS Compared to those without SCD (in the first-four annual visits), Intermittent SCD (i.e., reported in 1-2 of the first-four annual visits) predicted a higher risk (HR 1.4) and Persistent SCD (i.e., reported in 3-4 of the first-four annual visits) predicted the highest risk (HR 2.2), with the results remaining significant even after adjusting for baseline SCD. Age-stratified analysis revealed that the risk associated with Intermittent SCD was only present in older individuals, while risk related to Persistent SCD was consistently present across the younger and older age groups. Age compounded the effects of the trajectories, whereby older individuals with Persistent SCD had > 75% probability of developing MCI/dementia by 10 years, in contrast to < 25% probability by 10 years in younger individuals with No SCD. CONCLUSIONS The findings demonstrate the utility of SCD trajectories-especially when used in combination with age strata-in identifying high-risk populations for preventive interventions and trials. They also suggest a potential modification in the current SCD criteria, with the inclusion of "persistent SCD over several years" as a feature of SCD plus.
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Affiliation(s)
- Tau Ming Liew
- Department of Psychiatry, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
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Wang X, Huang W, Su L, Xing Y, Jessen F, Sun Y, Shu N, Han Y. Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease. Mol Neurodegener 2020; 15:55. [PMID: 32962744 PMCID: PMC7507636 DOI: 10.1186/s13024-020-00395-3] [Citation(s) in RCA: 110] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 08/07/2020] [Indexed: 12/15/2022] Open
Abstract
Subjective cognitive decline (SCD) is regarded as the first clinical manifestation in the Alzheimer’s disease (AD) continuum. Investigating populations with SCD is important for understanding the early pathological mechanisms of AD and identifying SCD-related biomarkers, which are critical for the early detection of AD. With the advent of advanced neuroimaging techniques, such as positron emission tomography (PET) and magnetic resonance imaging (MRI), accumulating evidence has revealed structural and functional brain alterations related to the symptoms of SCD. In this review, we summarize the main imaging features and key findings regarding SCD related to AD, from local and regional data to connectivity-based imaging measures, with the aim of delineating a multimodal imaging signature of SCD due to AD. Additionally, the interaction of SCD with other risk factors for dementia due to AD, such as age and the Apolipoprotein E (ApoE) ɛ4 status, has also been described. Finally, the possible explanations for the inconsistent and heterogeneous neuroimaging findings observed in individuals with SCD are discussed, along with future directions. Overall, the literature reveals a preferential vulnerability of AD signature regions in SCD in the context of AD, supporting the notion that individuals with SCD share a similar pattern of brain alterations with patients with mild cognitive impairment (MCI) and dementia due to AD. We conclude that these neuroimaging techniques, particularly multimodal neuroimaging techniques, have great potential for identifying the underlying pathological alterations associated with SCD. More longitudinal studies with larger sample sizes combined with more advanced imaging modeling approaches such as artificial intelligence are still warranted to establish their clinical utility.
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Affiliation(s)
- Xiaoqi Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
| | - Weijie Huang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Li Su
- Department of Psychiatry, University of Cambridge, Cambridge, UK.,Sino-Britain Centre for Cognition and Ageing Research, Southwest University, Chongqing, China
| | - Yue Xing
- Radiological Sciences, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
| | - Frank Jessen
- Department of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, 50937, Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Yu Sun
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China. .,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.
| | - Ni Shu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China. .,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China. .,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China.
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China. .,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China. .,National Clinical Research Center for Geriatric Disorders, Beijing, China.
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Coughlan G, Puthusseryppady V, Lowry E, Gillings R, Spiers H, Minihane AM, Hornberger M. Test-retest reliability of spatial navigation in adults at-risk of Alzheimer's disease. PLoS One 2020; 15:e0239077. [PMID: 32960930 PMCID: PMC7508365 DOI: 10.1371/journal.pone.0239077] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 08/28/2020] [Indexed: 12/16/2022] Open
Abstract
The Virtual Supermarket Task (VST) and Sea Hero Quest detect high-genetic-risk Alzheimer`s disease (AD). We aimed to determine their test-retest reliability in a preclinical AD population. Over two time points, separated by an 18-month period, 59 cognitively healthy individuals underwent a neuropsychological and spatial navigation assessment. At baseline, participants were classified as low-genetic-risk of AD or high-genetic-risk of AD. We calculated two-way mixed effects intraclass correlation coefficients (ICC) for task parameters and used repeated measures ANOVAS to determine whether genetic risk or sex contributed to test-retest variability. The egocentric parameter of the VST measure showed the highest test-retest reliability (ICC = .72), followed by the SHQ distance travelled parameter (ICC = .50). Post hoc longitudinal analysis showed that boundary-based navigation predicts worsening episodic memory concerns in high-risk (F = 5.01, P = 0.03), but in not low-risk, AD candidates. The VST and the Sea Hero Quest produced parameters with acceptable test-retest reliability. Further research in larger sample sizes is desirable.
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Affiliation(s)
- Gillian Coughlan
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | | | - Ellen Lowry
- Department of Psychology, University of East Anglia, Norwich, United Kingdom
| | - Rachel Gillings
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Hugo Spiers
- Department of Experimental Psychology, Institute of Behavioural Neuroscience, University College London, London, United Kingdom
| | | | - Michael Hornberger
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
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Sabatini S, Ukoumunne OC, Ballard C, Brothers A, Kaspar R, Collins R, Kim S, Corbett A, Aarsland D, Hampshire A, Brooker H, Clare L. International relevance of two measures of awareness of age-related change (AARC). BMC Geriatr 2020; 20:359. [PMID: 32957978 PMCID: PMC7507664 DOI: 10.1186/s12877-020-01767-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 09/10/2020] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND A questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany. We validated the short form of the measure (AARC-10 SF) and the cognitive functioning subscale from the 50-item version of the AARC (AARC-50) questionnaire in the UK population aged 50 and over. METHODS Data from 9410 participants (Mean (SD) age = 65.9 (7.1)) in the PROTECT cohort were used to explore and confirm the psychometric properties of the AARC measures including: validity of the factor structure; reliability; measurement invariance across men and women, individuals with and without a university degree, and in middle age, early old age, and advanced old age; and convergent validity with measures of self-perception of aging and mental, physical, and cognitive health. We explored the relationship between demographic variables (age, sex, marital status, employment, and university education) and AARC. RESULTS We confirmed the two-factor structure (gains and losses) of the AARC-10 SF and the AARC-50 cognitive functioning subscale. Both scales showed good reliability and good convergent validity for AARC losses, but weak convergent validity for AARC gains. For both scales metric invariance was held for the two subgroups defined by education level and age. For the AARC-50 subscale, but not for the AARC-10 SF, strong invariance was also held for the two subgroups defined by sex. Age, sex, marital status, employment, and university education predicted AARC gains and losses. CONCLUSIONS The AARC-10 SF and AARC-50 cognitive functioning subscale identify UK individuals who perceive age-related changes in their mental, physical, and cognitive health.
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Affiliation(s)
- Serena Sabatini
- College of Medicine and Health, REACH, University of Exeter, South Cloisters, St Luke's Campus, Exeter, EX12LU, UK.
| | - Obioha C Ukoumunne
- NIHR ARC South West Peninsula (PenARC), University of Exeter, Exeter, UK
| | - Clive Ballard
- College of Medicine and Health, REACH, University of Exeter, South Cloisters, St Luke's Campus, Exeter, EX12LU, UK
| | - Allyson Brothers
- College of Health and Human Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Roman Kaspar
- Cologne Center for Ethics, Rights, Economics, and Social Sciences of Health, University of Cologne, Cologne, Germany
| | - Rachel Collins
- College of Medicine and Health, REACH, University of Exeter, South Cloisters, St Luke's Campus, Exeter, EX12LU, UK
| | - Sarang Kim
- Wicking Dementia Research & Education Centre, University of Tasmania, Hobart, Australia
| | - Anne Corbett
- College of Medicine and Health, REACH, University of Exeter, South Cloisters, St Luke's Campus, Exeter, EX12LU, UK
| | - Dag Aarsland
- Department of Medicine, Imperial College London, London, UK
| | - Adam Hampshire
- Department of Brain Sciences, Imperial College London, London, UK
| | - Helen Brooker
- College of Medicine and Health, REACH, University of Exeter, South Cloisters, St Luke's Campus, Exeter, EX12LU, UK
| | - Linda Clare
- College of Medicine and Health, REACH, University of Exeter, South Cloisters, St Luke's Campus, Exeter, EX12LU, UK
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McDade E, Bednar MM, Brashear HR, Miller DS, Maruff P, Randolph C, Ismail Z, Carrillo MC, Weber CJ, Bain LJ, Hake AM. The pathway to secondary prevention of Alzheimer's disease. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2020; 6:e12069. [PMID: 32885024 PMCID: PMC7453146 DOI: 10.1002/trc2.12069] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 07/09/2020] [Indexed: 11/11/2022]
Abstract
Alzheimer's disease (AD) is a continuum consisting of a preclinical stage that occurs decades before symptoms appear. As researchers make advances in investigating the continuum, the importance of developing drugs for secondary prevention is garnering increased discussion. For efficacious drug development for secondary prevention it is important to define what are the earliest biological stages of AD. The Alzheimer's Association Research Roundtable convened November 27 to 28, 2018 to focus on pre-clinical AD. This review will address the biological approach to defining pre-clinical AD, detection, identification of at-risk individuals, and lessons learned from trials such as A4 and TOMMORROW.
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Affiliation(s)
- Eric McDade
- Department of NeurologyWashington University School of MedicineSaint LouisMissouriUSA
| | - Martin M. Bednar
- Takeda Pharmaceuticals International Co.Americas, Inc.CambridgeMassachusettsUSA
| | | | | | | | - Christopher Randolph
- MedAvante‐ProPhaseHamiltonNew JerseyUSA
- Department of NeurologyLoyola University Medical CenterMaywoodIllinoisUSA
| | - Zahinoor Ismail
- Cumming School of MedicineThe University of CalgaryCalgaryCanada
| | | | | | - Lisa J. Bain
- Independent Science WriterElversonPennsylvaniaUSA
| | - Ann Marie Hake
- Eli Lilly and CompanyIndianapolisIndianaUSA
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
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Kyle SD, Hurry MED, Emsley R, Marsden A, Omlin X, Juss A, Spiegelhalder K, Bisdounis L, Luik AI, Espie CA, Sexton CE. The effects of digital cognitive behavioral therapy for insomnia on cognitive function: a randomized controlled trial. Sleep 2020; 43:5777024. [DOI: 10.1093/sleep/zsaa034] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 02/07/2020] [Indexed: 11/14/2022] Open
Abstract
AbstractStudy ObjectivesWe sought to examine the impact of digital cognitive behavioral therapy (dCBT) for insomnia on both self-reported cognitive impairment and objective cognitive performance.MethodsThe Defining the Impact of Sleep improvement on Cognitive Outcomes (DISCO) trial was an online, two-arm, single-blind, randomized clinical trial of dCBT versus wait-list control. Participants were aged 25 years and older, met DSM-5 diagnostic criteria for insomnia disorder, and reported difficulties with concentration or memory. Assessments were carried out online at baseline, and 10 and 24 weeks post-randomization. The primary outcome measure was self-reported cognitive impairment, assessed with the British Columbia Cognitive Complaints Inventory (BC-CCI). Secondary outcomes included tests of cognitive performance, insomnia symptoms, cognitive failures, fatigue, sleepiness, depression, and anxiety.ResultsFour hundred and ten participants with insomnia were recruited and assigned to dCBT (N = 205) or wait-list control (N = 205). At 10 weeks post-randomization the estimated adjusted mean difference for the BC-CCI was −3.03 (95% CI: −3.60, −2.47; p < 0.0001, d = −0.86), indicating that participants in the dCBT group reported less cognitive impairment than the control group. These effects were maintained at 24 weeks (d = −0.96) and were mediated, in part, via reductions in insomnia severity and increased sleep efficiency. Treatment effects in favor of dCBT, at both 10 and 24 weeks, were found for insomnia severity, sleep efficiency, cognitive failures, fatigue, sleepiness, depression, and anxiety. We found no between-group differences in objective tests of cognitive performance.ConclusionsOur study shows that dCBT robustly decreases self-reported cognitive impairment at post-treatment and these effects are maintained at 6 months.
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Affiliation(s)
- Simon D Kyle
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Madeleine E D Hurry
- Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK
| | - Richard Emsley
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | - Antonia Marsden
- Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, UK
| | - Ximena Omlin
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Amender Juss
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Center – University of Freiburg, Freiburg, Germany
| | - Lampros Bisdounis
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Annemarie I Luik
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Colin A Espie
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Big Health Ltd, London, UK
| | - Claire E Sexton
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK
- Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA
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McWhirter L, Ritchie C, Stone J, Carson A. Functional cognitive disorders: a systematic review. Lancet Psychiatry 2020; 7:191-207. [PMID: 31732482 DOI: 10.1016/s2215-0366(19)30405-5] [Citation(s) in RCA: 118] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 08/28/2019] [Accepted: 08/29/2019] [Indexed: 12/18/2022]
Abstract
Cognitive symptoms are common, and yet many who seek help for cognitive symptoms neither have, nor go on to develop, dementia. A proportion of these people are likely to have functional cognitive disorders, a subtype of functional neurological disorders, in which cognitive symptoms are present, associated with distress or disability, but caused by functional alterations rather than degenerative brain disease or another structural lesion. In this Review, we have systematically examined the prevalence and clinical associations of functional cognitive disorders, and related phenotypes, within the wider cognitive disorder literature. Around a quarter of patients presenting to memory clinics received diagnoses that might indicate the presence of functional cognitive disorders, which were associated with affective symptoms, negative self-evaluation, negative illness perceptions, non-progressive symptom trajectories, and linguistic and behavioural differences during clinical interactions. Those with functional cognitive disorder phenotypes are at risk of iatrogenic harm because of misdiagnosis or inaccurate prediction of future decline. Further research is imperative to improve diagnosis and identify effective treatments for functional cognitive disorders, and better understanding these phenotypes will also improve the specificity of diagnoses of prodromal degenerative brain disease.
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Affiliation(s)
- Laura McWhirter
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
| | - Craig Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Jon Stone
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Alan Carson
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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Jessen F, Amariglio RE, Buckley RF, van der Flier WM, Han Y, Molinuevo JL, Rabin L, Rentz DM, Rodriguez-Gomez O, Saykin AJ, Sikkes SAM, Smart CM, Wolfsgruber S, Wagner M. The characterisation of subjective cognitive decline. Lancet Neurol 2020; 19:271-278. [PMID: 31958406 DOI: 10.1016/s1474-4422(19)30368-0] [Citation(s) in RCA: 660] [Impact Index Per Article: 165.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2019] [Revised: 08/27/2019] [Accepted: 08/28/2019] [Indexed: 01/22/2023]
Abstract
A growing awareness about brain health and Alzheimer's disease in the general population is leading to an increasing number of cognitively unimpaired individuals, who are concerned that they have reduced cognitive function, to approach the medical system for help. The term subjective cognitive decline (SCD) was conceived in 2014 to describe this condition. Epidemiological data provide evidence that the risk for mild cognitive impairment and dementia is increased in individuals with SCD. However, the majority of individuals with SCD will not show progressive cognitive decline. An individually tailored diagnostic process might be reasonable to identify or exclude underlying medical conditions in an individual with SCD who actively seeks medical help. An increasing number of studies are investigating the link between SCD and the very early stages of Alzheimer's disease and other neurodegenerative diseases.
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Affiliation(s)
- Frank Jessen
- Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
| | - Rebecca E Amariglio
- Center for Alzheimer Research and Treatment, Brigham and Women's Hospital and Department of Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Rachel F Buckley
- Department of Neurology, Brigham and Women's Hospital and Department of Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Florey Institute, University of Melbourne, Parkville, VIC, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands; Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China; Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China; Beijing Institute of Geriatrics, Beijing, China; National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - José Luis Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic, Barcelona, Spain; Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Laura Rabin
- Department of Psychology, Brooklyn College and The Graduate Center of CUNY, Brooklyn, NY, USA; Department of Neurology, Albert Einstein College of Medicine, New York, NY, USA
| | - Dorene M Rentz
- Center for Alzheimer Research and Treatment, Brigham and Women's Hospital and Department of Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Octavio Rodriguez-Gomez
- Alzheimer Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sietske A M Sikkes
- Department of Neurology, Brigham and Women's Hospital and Department of Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands; Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Colette M Smart
- Department of Psychology, University of Victoria, Victoria, BC, Canada; Institute on Aging & Lifelong Health, University of Victoria, Victoria, BC, Canada
| | | | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
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Nosheny RL, Jin C, Neuhaus J, Insel PS, Mackin RS, Weiner MW. Study partner-reported decline identifies cognitive decline and dementia risk. Ann Clin Transl Neurol 2019; 6:2448-2459. [PMID: 31721455 PMCID: PMC6917311 DOI: 10.1002/acn3.50938] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 09/30/2019] [Accepted: 10/16/2019] [Indexed: 12/22/2022] Open
Abstract
Objective Identifying individuals at risk for cognitive decline, Mild Cognitive Impairment (MCI), and dementia due to Alzheimer’s disease (AD) is a critical need. Functional decline is associated with risk and can be efficiently assessed by participants and study partners (SPs). We tested the hypothesis that SP‐reported functional decline is an independent predictor of dementia risk and cognitive decline. Methods In 1048 older adults in the Alzheimer’s Disease Neuroimaging Initiative (ADNI), we measured associations between Everyday Cognition Scale scores (ECog, self‐ and SP‐reported versions) and (1) baseline and longitudinal change in neuropsychological test (NPT scores) across multiple cognitive domains; (2) diagnostic conversion to MCI or dementia. Models included Mini Mental Status Exam (MMSE) score and ApoE ε4 genotype (APOE) as predictors. Model fits were compared with and without predictors of interest included. Results SP‐reported ECog was the strongest predictor of cognitive decline across multiple domains, as well as diagnostic conversion. Self‐reported ECog was associated with baseline NPT scores in some cognitive domains, and diagnostic conversion to MCI in participants with biomarker evidence for AD (elevated brain β‐amyloid, Aβ). Models including SP‐reported ECog were significantly stronger at predicting outcomes. Conclusions SP‐reported functional decline is an independent indicator of cognitive decline and dementia risk, even when accounting for cognitive screening, genetic risk, demographics, and self‐report decline. The results provide a rationale for greater utilization of SP‐reported functional decline to identify those at risk for dementia due to AD and other causes.
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Affiliation(s)
- Rachel L Nosheny
- Department of Psychiatry, University of California, San Francisco, San Francisco, California.,San Francisco Veteran's Administration Medical Center, San Francisco, California
| | - Chengshi Jin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - John Neuhaus
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Philip S Insel
- San Francisco Veteran's Administration Medical Center, San Francisco, California
| | - Robert Scott Mackin
- Department of Psychiatry, University of California, San Francisco, San Francisco, California.,San Francisco Veteran's Administration Medical Center, San Francisco, California
| | - Michael W Weiner
- San Francisco Veteran's Administration Medical Center, San Francisco, California.,Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, California
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Choo IH, Chong A, Chung JY, Kim H. Association of Subjective Memory Complaints with the Left Parahippocampal Amyloid Burden in Mild Cognitive Impairment. J Alzheimers Dis 2019; 72:1261-1268. [PMID: 31707367 DOI: 10.3233/jad-190816] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Subjective memory complaints (SMC) are a risk factor for Alzheimer's disease. OBJECTIVE We aimed to explore the association between SMC and regional amyloid-β (Aβ) deposition in mild cognitive impairment (MCI). METHODS Sixty-eight individuals with MCI were recruited. [18F]Florbetaben PET scans were performed. T1-weighted 3D volumes were also acquired for co-registration with PET and for defining the regions of interest (ROI). Two step exploratory partial correlation analyses between SMC and Aβ deposition were performed with covariates of age, sex, education, and depression. Furthermore, for the priori ROI that had the most significant partial correlation, we investigated the correlation between the SMC and regional Aβ burden using a multiple linear regression model controlling for depression, age, sex, and education. RESULTS Significant positive correlations between the SMC and Aβ burden was found in the medial temporal ROI (first step) and in the left parahippocampus ROI (second step). In the priori left parahippocampus, we found significant correlation between the SMC and Aβ burden (R2 = 0.473, p = 0.014). CONCLUSIONS Our study suggested that the SMC was associated with amyloid accumulation, especially in the left parahippocampus, in individuals with MCI.
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Affiliation(s)
- Il Han Choo
- Department of Neuropsychiatry, Chosun University and Chosun University Hospital, Gwangju, Republic of Korea
| | - Ari Chong
- Department of Nuclear Medicine, Chosun University and Chosun University Hospital, Gwangju, Republic of Korea
| | - Ji Yeon Chung
- Department of Neurology, Chosun University and Chosun University Hospital, Gwangju, Republic of Korea
| | - Hoowon Kim
- Department of Neurology, Chosun University and Chosun University Hospital, Gwangju, Republic of Korea
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47
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Shokouhi S, Conley AC, Baker SL, Albert K, Kang H, Gwirtsman HE, Newhouse PA. The relationship between domain-specific subjective cognitive decline and Alzheimer's pathology in normal elderly adults. Neurobiol Aging 2019; 81:22-29. [PMID: 31207466 PMCID: PMC6732237 DOI: 10.1016/j.neurobiolaging.2019.05.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 05/13/2019] [Accepted: 05/15/2019] [Indexed: 11/19/2022]
Abstract
We evaluated the associations of subjective (self-reported everyday cognition [ECog]) and objective cognitive measures with regional amyloid-β (Aβ) and tau accumulation in 86 clinically normal elderly subjects from the Alzheimer's Disease Neuroimaging Initiative. Regression analyses were conducted to identify whether individual ECog domains (Memory, Language, Organization, Planning, Visuospatial, and Divided Attention) were equally or differentially associated with regional [18F]florbetapir and [18F]flortaucipir uptake and how these associations compared to those obtained with objective cognitive measures. A texture analysis, the weighted 2-point correlation, was used as an additional approach for estimating the whole-brain tau burden without positron emission tomography intensity normalization. Although the strongest models for ECog domains included either tau (planning and visuospatial) or Aβ (memory and organization), the strongest models for all objective measures included Aβ. In Aβ-negative participants, the strongest models for all ECog domains of executive functioning included tau. Our results indicate differential associations of individual subjective cognitive domains with Aβ and tau in clinically normal adults. Detailed characterization of ECog may render a valuable prescreening tool for pathological prediction.
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Affiliation(s)
- Sepideh Shokouhi
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Alexander C Conley
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Suzanne L Baker
- Center for Functional Imaging, Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Kimberly Albert
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Harry E Gwirtsman
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Geriatric Research, Education, and Clinical Center, Tennessee Valley Veterans Affairs Medical Center, Nashville, TN, USA
| | - Paul A Newhouse
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Geriatric Research, Education, and Clinical Center, Tennessee Valley Veterans Affairs Medical Center, Nashville, TN, USA
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48
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Biomarker-Based Signature of Alzheimer's Disease in Pre-MCI Individuals. Brain Sci 2019; 9:brainsci9090213. [PMID: 31450744 PMCID: PMC6769621 DOI: 10.3390/brainsci9090213] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 08/10/2019] [Accepted: 08/20/2019] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) pathology begins decades before the onset of clinical symptoms. It is recognized as a clinicobiological entity, being detectable in vivo independently of the clinical stage by means of pathophysiological biomarkers. Accordingly, neuropathological studies that were carried out on healthy elderly subjects, with or without subjective experience of cognitive decline, reported evidence of AD pathology in a high proportion of cases. At present, mild cognitive impairment (MCI) represents the only clinically diagnosed pre-dementia stage. Several attempts have been carried out to detect AD as early as possible, when subtle cognitive alterations, still not fulfilling MCI criteria, appear. Importantly, pre-MCI individuals showing the positivity of pathophysiological AD biomarkers show a risk of progression similar to MCI patients. In view of successful treatment with disease modifying agents, in a clinical setting, a timely diagnosis is mandatory. In clinical routine, biomarkers assessment should be taken into consideration whenever a subject with subtle cognitive deficits (pre-MCI), who is aware of his/her decline, requests to know the cause of such disturbances. In this review, we report the available neuropsychological and biomarkers data that characterize the pre-MCI patients, thus proposing pre-MCI as the first clinical manifestation of AD.
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49
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Miebach L, Wolfsgruber S, Polcher A, Peters O, Menne F, Luther K, Incesoy E, Priller J, Spruth E, Altenstein S, Buerger K, Catak C, Janowitz D, Perneczky R, Utecht J, Laske C, Buchmann M, Schneider A, Fliessbach K, Kalbhen P, Heneka MT, Brosseron F, Spottke A, Roy N, Teipel SJ, Kilimann I, Wiltfang J, Bartels C, Düzel E, Dobisch L, Metzger C, Meiberth D, Ramirez A, Jessen F, Wagner M. Which features of subjective cognitive decline are related to amyloid pathology? Findings from the DELCODE study. ALZHEIMERS RESEARCH & THERAPY 2019; 11:66. [PMID: 31366409 PMCID: PMC6668160 DOI: 10.1186/s13195-019-0515-y] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 07/02/2019] [Indexed: 12/14/2022]
Abstract
Background Subjective cognitive decline (SCD) has been proposed as a pre-MCI at-risk condition of Alzheimer’s disease (AD). Current research is focusing on a refined assessment of specific SCD features associated with increased risk for AD, as proposed in the SCD-plus criteria. We developed a structured interview (SCD-I) for the assessment of these features and tested their relationship with AD biomarkers. Methods We analyzed data of 205 cognitively normal participants of the DELCODE study (mean age = 68.9 years; 52% female) with available CSF AD biomarkers (Aß-42, p-Tau181, Aß-42/Tau ratio, total Tau). For each of five cognitive domains (including memory, language, attention, planning, others), a study physician asked participants about the following SCD-plus features: the presence of subjective decline, associated worries, onset of SCD, feeling of worse performance than others of the same age group, and informant confirmation. We compared AD biomarkers of subjects endorsing each of these questions with those who did not, controlling for age. SCD was also quantified by two summary scores: the number of fulfilled SCD-plus features, and the number of domains with experienced decline. Covariate-adjusted linear regression analyses were used to test whether these SCD scores predicted abnormality in AD biomarkers. Results Lower Aß-42 levels were associated with a reported decline in memory and language abilities, and with the following SCD-plus features: onset of subjective decline within 5 years, confirmation of cognitive decline by an informant, and decline-related worries. Furthermore, both quantitative SCD scores were associated with lower Aß42 and lower Aß42/Tau ratio, but not with total Tau or p-Tau181. Conclusions Findings support the usefulness of a criterion-based interview approach to assess and quantify SCD in the context of AD and validate the current SCD-plus features as predictors of AD pathology. While some features seem to be more closely associated with AD biomarkers than others, aggregated scores over several SCD-plus features or SCD domains may be the best predictors of AD pathology. Electronic supplementary material The online version of this article (10.1186/s13195-019-0515-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lisa Miebach
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany. .,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Alexandra Polcher
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Oliver Peters
- Institute of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Felix Menne
- Institute of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Katja Luther
- Institute of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Enise Incesoy
- Institute of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Eike Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Katharina Buerger
- Institute for Stroke and Dementia Research (ISD), LMU Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Cihan Catak
- Institute for Stroke and Dementia Research (ISD), LMU Munich, Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), LMU Munich, Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Ludwig-Maximilians-Universität München, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany.,Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College London, London, UK
| | - Julia Utecht
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Ludwig-Maximilians-Universität München, Munich, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,Hertie-Institute for Clinical Brain Research, Tübingen, Germany
| | - Martina Buchmann
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,Hertie-Institute for Clinical Brain Research, Tübingen, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Pascal Kalbhen
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department of Neurology, University of Bonn, Bonn, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
| | - Stefan J Teipel
- Department of Psychosomatic Medicine, University of Medicine, Rostock, Germany.,German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Ingo Kilimann
- Department of Psychosomatic Medicine, University of Medicine, Rostock, Germany.,German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany.,Department of Psychiatry and Psychotherapy, University of Göttingen, Göttingen, Germany
| | - Claudia Bartels
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany.,Department of Psychiatry and Psychotherapy, University of Göttingen, Göttingen, Germany
| | - Emrah Düzel
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Coraline Metzger
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Department of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany
| | - Dix Meiberth
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
| | - Alfredo Ramirez
- Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases/Clinical Research, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Zentrum für klinische Forschung/AG Neuropsychologie, Sigmund-Freud-Str. 27, 53127, Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Sigmund-Freud-Str. 27, 53127, Bonn, Germany
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Is brain connectome research the future frontier for subjective cognitive decline? A systematic review. Clin Neurophysiol 2019; 130:1762-1780. [PMID: 31401485 DOI: 10.1016/j.clinph.2019.07.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 06/26/2019] [Accepted: 07/07/2019] [Indexed: 11/24/2022]
Abstract
OBJECTIVE We performed a systematic literature review on Subjective Cognitive Decline (SCD) in order to examine whether the resemblance of brain connectome and functional connectivity (FC) alterations in SCD with respect to MCI, AD and HC can help us draw conclusions on the progression of SCD to more advanced stages of dementia. METHODS We searched for studies that used any neuroimaging tool to investigate potential differences/similarities of brain connectome in SCD with respect to HC, MCI, and AD. RESULTS Sixteen studies were finally included in the review. Apparent FC connections and disruptions were observed in the white matter, default mode and gray matter networks in SCD with regards to HC, MCI, and AD. Interestingly, more apparent connections in SCD were located over the posterior regions, while an increase of FC over anterior regions was observed as the disease progressed. CONCLUSIONS Elders with SCD display a significant disruption of the brain network, which in most of the cases is worse than HC across multiple network parameters. SIGNIFICANCE The present review provides comprehensive and balanced coverage of a timely target research activity around SCD with the intention to identify similarities/differences across patient groups on the basis of brain connectome properties.
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