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Liu Q, Wang F, Tan L, Liu L, Hu X. Art therapies and cognitive function in elderly with subjective cognitive decline: a protocol for a network meta-analysis. BMJ Open 2024; 14:e079146. [PMID: 38643016 PMCID: PMC11033635 DOI: 10.1136/bmjopen-2023-079146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 03/18/2024] [Indexed: 04/22/2024] Open
Abstract
INTRODUCTION Subjective cognitive decline means a decline in the subjective perception of self-cognitive function, which is likely to evolve into mild cognitive impairment and dementia. The number of elderly with subjective cognitive decline has increased, bringing huge burdens and challenges to caregivers and society. With the increase in research on art therapies, some of them have gradually been proven to be effective for cognitive function. Therefore, this study aims to summarise the evidence and identify the best art therapy for elderly with subjective cognitive decline. METHODS AND ANALYSIS We will include published randomised controlled trials written in English and Chinese if the intervention is one of the art therapies and applied in people aged 60 and above with subjective cognitive decline. Eight electronic databases, including the Cochrane Central Register of Controlled Trials, PubMed, Web of Science, Elsevier, China BioMedical Literature Database, China National Knowledge Infrastructure, VIP Database and Wanfang Database, will be searched from January 2013 to December 2023. Art therapies will mainly include music therapy, reminiscence therapy, painting therapy, dance therapy, reading therapy, horticultural therapy, museum therapy, calligraphy therapy and so on. The outcome will be cognitive function. Study selection, data extraction and quality assessment will be performed by two reviewers. The risk of bias will be evaluated according to the Cochrane Collaboration's risk-of-bias tool, and the evidence quality will be assessed with the Grading of Recommendations Assessment, Development and Evaluation. Standard pairwise meta-analysis and Bayesian network meta-analysis will be conducted. The probabilities of each art therapy will be ranked based on the surface under the cumulative ranking curve. ETHICS AND DISSEMINATION Ethical approval is not required for reviewing published studies. To provide important evidence for clinicians and guideline developers, the findings of this study will be submitted to a peer-reviewed journal. PROSPERO REGISTRATION NUMBER CRD42023443773.
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Affiliation(s)
- Qian Liu
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Fang Wang
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Lixia Tan
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Li Liu
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Xiuying Hu
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
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Curtis AF, Musich M, Costa AN, Gonzales J, Gonzales H, Ferguson BJ, Kille B, Thomas AL, Wei X, Liu P, Greenlief CM, Shenker JI, Beversdorf DQ. Feasibility and Preliminary Efficacy of American Elderberry Juice for Improving Cognition and Inflammation in Patients with Mild Cognitive Impairment. Int J Mol Sci 2024; 25:4352. [PMID: 38673938 PMCID: PMC11050618 DOI: 10.3390/ijms25084352] [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: 03/06/2024] [Revised: 03/28/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024] Open
Abstract
Despite data showing that nutritional interventions high in antioxidant/anti-inflammatory properties (anthocyanin-rich foods, such as blueberries/elderberries) may decrease risk of memory loss and cognitive decline, evidence for such effects in mild cognitive impairment (MCI) is limited. This study examined preliminary effects of American elderberry (Sambucus nigra subsp. canadensis) juice on cognition and inflammatory markers in patients with MCI. In a randomized, double-blind, placebo-controlled trial, patients with MCI (n = 24, Mage = 76.33 ± 6.95) received American elderberry (n = 11) or placebo (n = 13) juice (5 mL orally 3 times a day) for 6 months. At baseline, 3 months, and 6 months, patients completed tasks measuring global cognition, verbal memory, language, visuospatial cognitive flexibility/problem solving, and memory. A subsample (n = 12, 7 elderberry/5 placebo) provided blood samples to measure serum inflammatory markers. Multilevel models examined effects of the condition (elderberry/placebo), time (baseline/3 months/6 months), and condition by time interactions on cognition/inflammation outcomes. Attrition rates for elderberry (18%) and placebo (15%) conditions were fairly low. The dosage compliance (elderberry-97%; placebo-97%) and completion of cognitive (elderberry-88%; placebo-87%) and blood-based (elderberry-100%; placebo-100%) assessments was high. Elderberry (not placebo) trended (p = 0.09) towards faster visuospatial problem solving performance from baseline to 6 months. For the elderberry condition, there were significant or significantly trending decreases over time across several markers of low-grade peripheral inflammation, including vasorin, prenylcysteine oxidase 1, and complement Factor D. Only one inflammatory marker showed an increase over time (alpha-2-macroglobin). In contrast, for the placebo, several inflammatory marker levels increased across time (L-lactate dehydrogenase B chain, complement Factor D), with one showing deceased levels over time (L-lactate dehydrogenase A chain). Daily elderberry juice consumption in patients with MCI is feasible and well tolerated and may provide some benefit to visuospatial cognitive flexibility. Preliminary findings suggest elderberry juice may reduce low-grade inflammation compared to a placebo-control. These promising findings support the need for larger, more definitive prospective studies with longer follow-ups to better understand mechanisms of action and the clinical utility of elderberries for potentially mitigating cognitive decline.
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Affiliation(s)
- Ashley F. Curtis
- College of Nursing, University of South Florida, Tampa, FL 33620, USA; (A.F.C.); (A.N.C.)
| | - Madison Musich
- Department of Psychological Sciences, University of Missouri, Columbia, MO 65201, USA; (M.M.); (B.K.)
| | - Amy N. Costa
- College of Nursing, University of South Florida, Tampa, FL 33620, USA; (A.F.C.); (A.N.C.)
- Department of Psychology, University of South Florida, Tampa, FL 33620, USA
| | - Joshua Gonzales
- School of Osteopathic Medicine, A. T. Still University, Kirksville, MO 63501, USA;
- Department of Internal Medicine, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
| | - Hyeri Gonzales
- School of Medicine, University of Missouri, Columbia, MO 65211, USA;
| | - Bradley J. Ferguson
- Department of Neurology, University of Missouri, Columbia, MO 65211, USA; (B.J.F.); (J.I.S.)
| | - Briana Kille
- Department of Psychological Sciences, University of Missouri, Columbia, MO 65201, USA; (M.M.); (B.K.)
- Children’s Hospital Colorado, Aurora, CO 80045, USA
| | - Andrew L. Thomas
- Division of Plant Science and Technology, University of Missouri, Southwest Research Extension and Education Center, Mt. Vernon, MO 65201, USA;
| | - Xing Wei
- Charles W. Gehrke Proteomics Center, Department of Chemistry, University of Missouri, Columbia, MO 65201, USA; (X.W.); (P.L.); (C.M.G.)
| | - Pei Liu
- Charles W. Gehrke Proteomics Center, Department of Chemistry, University of Missouri, Columbia, MO 65201, USA; (X.W.); (P.L.); (C.M.G.)
| | - C. Michael Greenlief
- Charles W. Gehrke Proteomics Center, Department of Chemistry, University of Missouri, Columbia, MO 65201, USA; (X.W.); (P.L.); (C.M.G.)
| | - Joel I. Shenker
- Department of Neurology, University of Missouri, Columbia, MO 65211, USA; (B.J.F.); (J.I.S.)
| | - David Q. Beversdorf
- Department of Psychological Sciences, University of Missouri, Columbia, MO 65201, USA; (M.M.); (B.K.)
- Department of Neurology, University of Missouri, Columbia, MO 65211, USA; (B.J.F.); (J.I.S.)
- Department of Radiology, University of Missouri, Columbia, MO 65211, USA
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Pawlaczyk NA, Milner R, Szmytke M, Kiljanek B, Bałaj B, Wypych A, Lewandowska M. Medial Temporal Lobe Atrophy in Older Adults With Subjective Cognitive Impairments Affects Gait Parameters in the Spatial Navigation Task. J Aging Phys Act 2024; 32:185-197. [PMID: 37989135 DOI: 10.1123/japa.2022-0335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 07/05/2023] [Accepted: 08/21/2023] [Indexed: 11/23/2023]
Abstract
Both navigation abilities and gait can be affected by the atrophy in the medial temporal cortex. This study aimed to determine whether navigation abilities could differentiate seniors with and without medial temporal lobe atrophy who complained about their cognitive status. The participants, classified to either the medial temporal atrophy group (n = 23) or the control group (n = 22) underwent neuropsychological assessment and performed a spatial navigation task while their gait parameters were recorded. The study showed no significant differences between the two groups in memory, fluency, and semantic knowledge or typical measures of navigating abilities. However, gait parameters, particularly the propulsion index during certain phases of the navigation task, distinguished between seniors with and without medial temporal lobe lesions. These findings suggest that the gait parameters in the navigation task may be a valuable tool for identifying seniors with cognitive complaints and subtle medial temporal atrophy.
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Affiliation(s)
- Natalia Anna Pawlaczyk
- Faculty of Philosophy and Social Sciences, Institute of Psychology, Nicolaus Copernicus University in Torun, Torun, Poland
| | - Rafał Milner
- Faculty of Philosophy and Social Sciences, Institute of Psychology, Nicolaus Copernicus University in Torun, Torun, Poland
| | | | - Bartłomiej Kiljanek
- Faculty of Philosophy and Social Sciences, Institute of Psychology, Nicolaus Copernicus University in Torun, Torun, Poland
| | - Bibianna Bałaj
- Faculty of Philosophy and Social Sciences, Institute of Psychology, Nicolaus Copernicus University in Torun, Torun, Poland
| | - Aleksandra Wypych
- Center for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Torun, Poland
| | - Monika Lewandowska
- Faculty of Philosophy and Social Sciences, Institute of Psychology, Nicolaus Copernicus University in Torun, Torun, Poland
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Zhu Y, Wu Y, Lv X, Wu J, Shen C, Tang Q, Wang G. The relationship between APOE genotype, CSF Tau and cognition across the Alzheimer's disease spectrum, moderation and mediation role of insula network connectivity. CNS Neurosci Ther 2024; 30:e14401. [PMID: 37577852 PMCID: PMC10805399 DOI: 10.1111/cns.14401] [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: 12/13/2022] [Revised: 07/07/2023] [Accepted: 07/31/2023] [Indexed: 08/15/2023] Open
Abstract
AIMS To investigate whether insula network connectivity modulates the relationship between apolipoprotein E (APOE) ε4 genotype, cerebrospinal fluid (CSF) biomarkers (Aβ, Tau, and pTau) and cognition across Alzheimer's disease (AD) spectrum. METHODS Forty-six cognitive normal (CN), 35 subjective memory complaint (SMC), 41 mild cognitive impairment (MCI), and 32 AD subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) were obtained. Multivariable linear regression analyses were conducted to investigate the main effects and interaction of the APOE genotype and disease status on the insula functional connectivity (IFC) network. Mediation and moderation analysis were performed to investigate whether IFC strengths regulate the association between APOE genotype, CSF biomarkers and cognition. Additionally, the support vector machine (SVM) model integrating APOE genotype, CSF biomarkers, and neuroimaging biomarkers (insula volumes and altered regional IFCs) was used to classify the AD spectrum. RESULTS The interactive effect of the APOE genotype and disease on the insula network was found in the left medial superior frontal gyrus (SFGmed.L), right anterior medial prefrontal cortex (aMPFC.R), and bilateral thalamus (THA.B). The functional connectivities (FCs) in the left insula (LIns) connecting with the left posterior middle temporal gyrus (pMTG.L), SFGmed.L, and right lingual gyrus (LING.R) were correlated with cognition. LIns-SFGmed.L and LIns-pMTG.L FCs could moderate the effects of Tau on cognition. Furthermore, LIns-SFGmed.L FC may suppress the association between APOE genotype and cognition. More importantly, the integrated biomarkers from the SVM model yielded strong powers for classifying the AD spectrum. CONCLUSIONS Insula functional connectivity regulated the association between APOE genotype, CSF Tau and cognition and provided stage-dependent biomarkers for early differentiation of the AD spectrum. The present study used a cross-sectional design. Follow-up studies are needed to validate the relationship.
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Affiliation(s)
- Yao Zhu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiChina
| | - Yan Wu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiChina
| | - Xinyi Lv
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiChina
| | - Jiaonan Wu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiChina
| | - Chunzi Shen
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiChina
| | - Qiqiang Tang
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiChina
| | - Guoping Wang
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiChina
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Xu Y, Wang Y, Chen Y, Zhang Y, Tong L, He Y, Fang J, Li R, Zhang X, Jin L. The Relationship Between Adverse Childhood Experiences and Subjective Cognitive Decline Based on Sexual Orientation. Clin Gerontol 2023:1-9. [PMID: 37955228 DOI: 10.1080/07317115.2023.2282484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2023]
Abstract
OBJECTIVES Research indicates adverse childhood experiences (ACEs) were associated with subjective cognitive decline (SCD), with higher ACEs reported by sexual minoritized individuals (i.e. lesbian, gay, and bisexual; LGB). This study aimed to explore the relationships between ACEs and SCD based on sexual orientation in middle-aged and older adults. METHODS The study included 76,592 participants from the 2019-2020 Behavioral Risk Factor Surveillance Survey (BRFSS). Multivariate logistic regressions analyzed ACEs status, score, and type associations with SCD. RESULTS 2.18% of the participants identified as sexual minoritized individuals. More sexual minoritized individuals reported SCD compared to heterosexual individuals (10.70% for heterosexuals; 17.27% for sexual minoritized individuals). Positive association between SCD and ACEs status (OR = 2.18, 95%CI: 1.09-4.40) was identified among sexual minoritized individuals. CONCLUSIONS The association between ACEs and SCD was strong in both heterosexual and sexual minoritized populations. Given the higher experience of ACEs among sexual minoritized adults, the subsequent frequency of SCD among these adults also may be higher. CLINICAL IMPLICATIONS Sexual minoritized older adults may have a history of numerous ACEs, which could contribute to a greater burden of SCD. Clinicians and other stakeholders may wish to consider relationships between ACEs and SCD based on sexual orientation.
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Affiliation(s)
- Yan Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yanfang Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yana Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Li Tong
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yue He
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Jiaxin Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Runhong Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Xinyao Zhang
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
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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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Giacomucci G, Mazzeo S, Crucitti C, Ingannato A, Bagnoli S, Padiglioni S, Galdo G, Emiliani F, Frigerio D, Moschini V, Morinelli C, Sorbi S, Bessi V, Nacmias B. Plasma p-tau181 as a promising non-invasive biomarker of Alzheimer's Disease pathology in Subjective Cognitive Decline and Mild Cognitive Impairment. J Neurol Sci 2023; 453:120805. [PMID: 37716237 DOI: 10.1016/j.jns.2023.120805] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/21/2023] [Accepted: 09/09/2023] [Indexed: 09/18/2023]
Abstract
INTRODUCTION The aim of this study is to investigate the role of plasma phosphorylated tau (p-tau) 181 as a potential biomarker for Alzheimer's Disease (AD) pathology in the early stages of the disease, as a valuable marker for tauopathy. MATERIALS AND METHODS Thirty-three Subjective Cognitive Decline (SCD), 32 Mild Cognitive Impairment (MCI) and 14 AD demented (AD-d) patients underwent plasma p-tau181 analysis with SiMoA assay. Twenty-six SCD, 32 MCI and 14 AD-d patients also underwent CSF biomarkers analysis (Aβ1-42, Aβ1-42/1-40, p-tau, t-tau) and were classified as carriers of AD pathology (AP+) when A+ was associated with T+ (regardless of N), or non-carriers (AP-) when they were A- (regardless of T and N), or A+/T-/N-, or A+/T-/N+ according to the A/T(N) system. RESULTS Plasma p-tau181 levels were higher in SCD AP+ than in SCD AP- (2.85 ± 0.53 vs 1.73 ± 0.64, p < 0.001), and in MCI AP+ than in MCI AP- (4.03 ± 1.07 vs 2.04 ± 0.87, p < 0.001). In a multivariate linear regression analysis, AP status was the only variable that influenced plasma p-tau181 (B = 1.670 [95% CI 1.097:2.244], p < 0.001). Plasma p-tau181 was highly accurate for discriminating between AP+ and AP- patients (AUC = 0.910). We identified a cut-off level of 2.69 pg/mL to distinguish between AP+ and AP- (sensibility 0.86, specificity 0.82, PPV 75.00% NPV 90.32%). CONCLUSIONS Plasma p-tau181 levels were influenced by the presence of underlying AD pathology, independently from the cognitive status and were highly accurate in differentiating SCD-MCI patients who were carriers of AD pathology from non-carriers. Plasma p-tau181 might be a promising non-invasive biomarker of AD pathology at a very early stage.
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Affiliation(s)
- Giulia Giacomucci
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Salvatore Mazzeo
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Chiara Crucitti
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Assunta Ingannato
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Silvia Bagnoli
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Sonia Padiglioni
- Regional Referral Centre for Relational Criticalities - Tuscany Region, Italy; Research and Innovation Centre for Dementia-CRIDEM, AOU Careggi, Italy
| | - Giulia Galdo
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Filippo Emiliani
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Daniele Frigerio
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Valentina Moschini
- SOD Neurologia I, Dipartimento Neuromuscolo-Scheletrico e degli Organi di Senso, AOU Careggi, Florence, Italy
| | - Carmen Morinelli
- SOD Neurologia I, Dipartimento Neuromuscolo-Scheletrico e degli Organi di Senso, AOU Careggi, Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Valentina Bessi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
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Kann MR, Zeiger PJ, Rizer SJ, Cosentino S, Azar M. Virtual Assessment as a Way to Reduce Help-seeking Barriers in Older Adults With Subjective Cognitive Decline. Alzheimer Dis Assoc Disord 2023; 37:373-378. [PMID: 37738277 PMCID: PMC10719961 DOI: 10.1097/wad.0000000000000582] [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: 04/17/2023] [Accepted: 08/04/2023] [Indexed: 09/24/2023]
Abstract
Subjective cognitive decline (SCD), a potential early marker for neurodegenerative disease such as Alzheimer's disease, is common among older adults. Although it is often regarded as a personal health concern, most individuals with SCD do not seek help from a health care professional. Help-seeking (HS) is a complex, individualized process with significant life-course implications, and older adults often face several barriers to HS across personal, socioeconomic, and cultural domains. The pandemic exacerbated these barriers by imposing additional limitations on in-person care. In response, virtual assessment became a popular method to conduct remote care. We provide a narrative review of the challenges and triumphs that came with the transition from in-person, pen-paper cognitive assessments to virtual cognitive assessments. In addition, we address the impact virtual assessment had in tackling barriers that previously limited individuals with SCD from formal HS. We argue that virtual cognitive assessment helps alleviate health access barriers to HS (e.g., cost, transportation, and physician availability) and allows individuals with different coping styles to undergo assessment within more convenient environments. We hope the findings presented in this review inform health care practice, public education, and future research targeted towards the use of virtual assessment to facilitate HS in older adults with SCD.
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Affiliation(s)
- Michael R Kann
- Cognitive Neuroscience Division, Department of Neurology, G.H. Sergievsky Center, and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center
| | - Peter J Zeiger
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Sandra J Rizer
- Cognitive Neuroscience Division, Department of Neurology, G.H. Sergievsky Center, and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center
| | - Stephanie Cosentino
- Cognitive Neuroscience Division, Department of Neurology, G.H. Sergievsky Center, and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center
| | - Martina Azar
- Psychology Department, VA Boston Health Care System, Boston, MA
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9
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Ulbl J, Rakusa M. The Importance of Subjective Cognitive Decline Recognition and the Potential of Molecular and Neurophysiological Biomarkers-A Systematic Review. Int J Mol Sci 2023; 24:10158. [PMID: 37373304 DOI: 10.3390/ijms241210158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/01/2023] [Accepted: 06/10/2023] [Indexed: 06/29/2023] Open
Abstract
Subjective cognitive decline (SCD) and mild cognitive impairment (MCI) are early stages of Alzheimer's disease (AD). Neurophysiological markers such as electroencephalography (EEG) and event-related potential (ERP) are emerging as alternatives to traditional molecular and imaging markers. This paper aimed to review the literature on EEG and ERP markers in individuals with SCD. We analysed 30 studies that met our criteria, with 17 focusing on resting-state or cognitive task EEG, 11 on ERPs, and two on both EEG and ERP parameters. Typical spectral changes were indicative of EEG rhythm slowing and were associated with faster clinical progression, lower education levels, and abnormal cerebrospinal fluid biomarkers profiles. Some studies found no difference in ERP components between SCD subjects, controls, or MCI, while others reported lower amplitudes in the SCD group compared to controls. Further research is needed to explore the prognostic value of EEG and ERP in relation to molecular markers in individuals with SCD.
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Affiliation(s)
- Janina Ulbl
- Division of Neurology, University Medical Centre Maribor, 2000 Maribor, Slovenia
- Faculty of Medicine, University of Maribor, 2000 Maribor, Slovenia
| | - Martin Rakusa
- Division of Neurology, University Medical Centre Maribor, 2000 Maribor, Slovenia
- Faculty of Medicine, University of Maribor, 2000 Maribor, Slovenia
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10
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Szymkowicz SM, Ryan C, Elson DM, Kang H, Taylor WD. Cognitive phenotypes in late-life depression. Int Psychogeriatr 2023; 35:193-205. [PMID: 35766159 PMCID: PMC9797624 DOI: 10.1017/s1041610222000515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To identify cognitive phenotypes in late-life depression (LLD) and describe relationships with sociodemographic and clinical characteristics. DESIGN Observational cohort study. SETTING Baseline data from participants recruited via clinical referrals and community advertisements who enrolled in two separate studies. PARTICIPANTS Non-demented adults with LLD (n = 120; mean age = 66.73 ± 5.35 years) and non-depressed elders (n = 56; mean age = 67.95 ± 6.34 years). MEASUREMENTS All completed a neuropsychological battery, and individual cognitive test scores were standardized across the entire sample without correcting for demographics. Five empirically derived cognitive domain composites were created, and cluster analytic approaches (hierarchical, k-means) were independently conducted to classify cognitive patterns in the depressed cohort only. Baseline sociodemographic and clinical characteristics were then compared across groups. RESULTS A three-cluster solution best reflected the data, including "High Normal" (n = 47), "Reduced Normal" (n = 35), and "Low Executive Function" (n = 37) groups. The "High Normal" group was younger, more educated, predominantly Caucasian, and had fewer vascular risk factors and higher Mini-Mental Status Examination compared to "Low Executive Function" group. No differences were observed on other sociodemographic or clinical characteristics. Exploration of the "High Normal" group found two subgroups that only differed in attention/working memory performance and length of the current depressive episode. CONCLUSIONS Three cognitive phenotypes in LLD were identified that slightly differed in sociodemographic and disease-specific variables, but not in the quality of specific symptoms reported. Future work on these cognitive phenotypes will examine relationships to treatment response, vulnerability to cognitive decline, and neuroimaging markers to help disentangle the heterogeneity seen in this patient population.
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Affiliation(s)
- Sarah M. Szymkowicz
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Claire Ryan
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Damian M. Elson
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Warren D. Taylor
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN, USA
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11
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Dolcet-Negre MM, Imaz Aguayo L, de Eulate RG, Martí-Andrés G, Matarrubia MF, Domínguez P, Fernández Seara MA, Riverol M. Predicting Conversion from Subjective Cognitive Decline to Mild Cognitive Impairment and Alzheimer's Disease Dementia Using Ensemble Machine Learning. J Alzheimers Dis 2023; 93:125-140. [PMID: 36938735 DOI: 10.3233/jad-221002] [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: 03/15/2023]
Abstract
BACKGROUND Subjective cognitive decline (SCD) may represent a preclinical stage of Alzheimer's disease (AD). Predicting progression of SCD patients is of great importance in AD-related research but remains a challenge. OBJECTIVE To develop and implement an ensemble machine learning (ML) algorithm to identify SCD subjects at risk of conversion to mild cognitive impairment (MCI) or AD. METHODS Ninety-nine SCD patients were included. Thirty-two progressed to MCI/AD, while 67 remained stable. To minimize the effect of class imbalance, both classes were balanced, and sensitivity was taken as evaluation metric. Bagging and boosting ML models were developed by using socio-demographic and clinical information, Mini-Mental State Examination and Geriatric Depression Scale (GDS) scores (feature-set 1a); socio-demographic characteristics and neuropsychological tests scores (feature-set 1b) and regional magnetic resonance imaging grey matter volumes (feature-set 2). The most relevant variables were combined to find the best model. RESULTS Good prediction performances were obtained with feature-sets 1a and 2. The most relevant variables (variable importance exceeding 20%) were: Age, GDS, and grey matter volumes measured in four cortical regions of interests. Their combination provided the optimal classification performance (highest sensitivity and specificity) ensemble ML model, Extreme Gradient Boosting with over-sampling of the minority class, with performance metrics: sensitivity = 1.00, specificity = 0.92 and area-under-the-curve = 0.96. The median values based on fifty random train/test splits were sensitivity = 0.83 (interquartile range (IQR) = 0.17), specificity = 0.77 (IQR = 0.23) and area-under-the-curve = 0.75 (IQR = 0.11). CONCLUSION A high-performance algorithm that could be translatable into practice was able to predict SCD conversion to MCI/AD by using only six predictive variables.
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Affiliation(s)
| | - Laura Imaz Aguayo
- Memory Unit, Department of Neurology, Clínica Universidad de Navarra, Pamplona, Spain
| | | | - Gloria Martí-Andrés
- Memory Unit, Department of Neurology, Clínica Universidad de Navarra, Pamplona, Spain
| | | | - Pablo Domínguez
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain
| | - Mará A Fernández Seara
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain.,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain.,Institute of Data Science and Artificial Intelligence, Universidad de Navarra, Pamplona, Spain
| | - Mario Riverol
- Memory Unit, Department of Neurology, Clínica Universidad de Navarra, Pamplona, Spain.,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
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12
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D’Alonzo ZJ, Lam V, Takechi R, Nesbit M, Vaccarezza M, Mamo JCL. Peripheral metabolism of lipoprotein-amyloid beta as a risk factor for Alzheimer's disease: potential interactive effects of APOE genotype with dietary fats. GENES & NUTRITION 2023; 18:2. [PMID: 36841786 PMCID: PMC9960179 DOI: 10.1186/s12263-023-00722-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 02/07/2023] [Indexed: 02/27/2023]
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder pathologically characterized by brain parenchymal abundance of amyloid-beta (Aβ) and the accumulation of lipofuscin material that is rich in neutral lipids. However, the mechanisms for aetiology of AD are presently not established. There is increasing evidence that metabolism of lipoprotein-Aβ in blood is associated with AD risk, via a microvascular axis that features breakdown of the blood-brain barrier, extravasation of lipoprotein-Aβ to brain parenchyme and thereafter heightened inflammation. A peripheral lipoprotein-Aβ/capillary axis for AD reconciles alternate hypotheses for a vascular, or amyloid origin of disease, with amyloidosis being probably consequential. Dietary fats may markedly influence the plasma abundance of lipoprotein-Aβ and by extension AD risk. Similarly, apolipoprotein E (Apo E) serves as the primary ligand by which lipoproteins are cleared from plasma via high-affinity receptors, for binding to extracellular matrices and thereafter for uptake of lipoprotein-Aβ via resident inflammatory cells. The epsilon APOE ε4 isoform, a major risk factor for AD, is associated with delayed catabolism of lipoproteins and by extension may increase AD risk due to increased exposure to circulating lipoprotein-Aβ and microvascular corruption.
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Affiliation(s)
- Zachary J. D’Alonzo
- grid.1032.00000 0004 0375 4078Faculty of Health Sciences, Curtin Medical School, Curtin University, Perth, Western Australia Australia ,grid.1032.00000 0004 0375 4078Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Perth, Western Australia Australia
| | - Virginie Lam
- grid.1032.00000 0004 0375 4078Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Perth, Western Australia Australia ,grid.1032.00000 0004 0375 4078Faculty of Health Sciences, School of Population Health, Curtin University, Perth, Western Australia Australia
| | - Ryu Takechi
- grid.1032.00000 0004 0375 4078Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Perth, Western Australia Australia ,grid.1032.00000 0004 0375 4078Faculty of Health Sciences, School of Population Health, Curtin University, Perth, Western Australia Australia
| | - Michael Nesbit
- grid.1032.00000 0004 0375 4078Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Perth, Western Australia Australia
| | - Mauro Vaccarezza
- grid.1032.00000 0004 0375 4078Faculty of Health Sciences, Curtin Medical School, Curtin University, Perth, Western Australia Australia ,grid.1032.00000 0004 0375 4078Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Perth, Western Australia Australia
| | - John C. L. Mamo
- grid.1032.00000 0004 0375 4078Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Perth, Western Australia Australia ,grid.1032.00000 0004 0375 4078Faculty of Health Sciences, School of Population Health, Curtin University, Perth, Western Australia Australia
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13
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Bogdan A, Fabre R, Desmidt T, Golebiowski J, Topin J, Bethus I, Hanon O, Boutoleau-Bretonniere C, Wagemann N, Annweiler C, Ousset PJ, Godefroy O, Rouch I, Paccalin M, Sukhorukova M, Gabelle A, Robert G, David R. Different Trajectories of Apathy and Depression Among Subjective Cognitive Impairment Individuals with or without Conversion to Dementia: Results from the Memento Cohort in France. J Alzheimers Dis 2023; 95:415-426. [PMID: 37545236 DOI: 10.3233/jad-230162] [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] [Indexed: 08/08/2023]
Abstract
BACKGROUND Apathy and depression are two early behavioral symptoms in Alzheimer's disease (AD) and related disorders that often occur prior to the onset of cognitive decline and memory disturbances. Both have been associated with an increased risk of conversion to dementia, with a distinct neuropathology. OBJECTIVE The assessment of the trajectories of apathy and depression and their independent impact on dementia conversion. METHODS Apathy and Depression were measured using the Neuropsychiatric Inventory for caregiver (NPI) and clinician (NPI-C), among the nondemented individuals reporting subjective cognitive decline (SCD) at baseline. They were followed up over a 60-month period. Some converted to dementia, according to the methodology carried out by the French Memento Cohort. RESULTS Among individuals with SCD (n = 2,323), the levels of apathy and depression were low and did not evolve significantly over the 60-month period, despite a trend in apathy increasing as of month 24. Regarding SCD individuals who converted to dementia within the 60-month period (n = 27), the prevalence of depression remained globally steady, while the levels of apathy increased over time. CONCLUSION Apathy and depression have different trajectories among individuals with SCD and apathy alone is more likely-compared to depression-to be associated with conversion to dementia.
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Affiliation(s)
- Anamaria Bogdan
- Cote d'Azur University, Nice University Hospital, Department of Old Age Psychiatry, Nice, France
| | - Roxane Fabre
- Nice University Hospital, Department of Public Health, Nice, France
| | | | | | - Jérémie Topin
- Côte D'Azur University, Chemistry Institute of Nice, France
| | - Ingrid Bethus
- Côte d'Azur University, IPMC (Institut de Pharmacologie Moléculaire et cellulaire), Sophia Antipolis, France
| | - Olivier Hanon
- Université Paris Cité - EA4468 APHP-Hôpitaux Universitaires Paris Centre - Service de Gériatrie- hôpital Broca, Paris, France
| | | | | | | | - Pierre-Jean Ousset
- Toulouse Clinical Research Center, Toulouse University Hospital, Toulouse, France
| | - Olivier Godefroy
- Department of Neurology, Amiens University Hospital, Amiens, France
| | - Isabelle Rouch
- Memory Clinic (CMRR) Saint Etienne, INSERM U1219, Bordeaux, France
| | - Marc Paccalin
- Department of Geriatry, Memory Clinic (CMRR), CIC U1402, Poitiers University Hospital, Poitiers, France
| | | | - Audrey Gabelle
- Memory Clinic (CMRR), Montpellier University Hospital, Montpellier, France
| | | | - Renaud David
- Cote d'Azur University, Nice University Hospital, Department of Old Age Psychiatry, Nice, France
- NICE BRAIN non-profitorganization for research on brain, Nice, France
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14
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Kilpatrick LA, Siddarth P, Krause-Sorio B, Milillo MM, Aguilar-Faustino Y, Ercoli L, Narr KL, Khalsa DS, Lavretsky H. Impact of Yoga Versus Memory Enhancement Training on Hippocampal Connectivity in Older Women at Risk for Alzheimer's Disease. J Alzheimers Dis 2023; 95:149-159. [PMID: 37482992 PMCID: PMC10578221 DOI: 10.3233/jad-221159] [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] [Accepted: 06/21/2023] [Indexed: 07/25/2023]
Abstract
BACKGROUND Yoga may be an ideal early intervention for those with modifiable risk factors for Alzheimer's disease (AD) development. OBJECTIVE To examine the effects of Kundalini yoga (KY) training versus memory enhancement training (MET) on the resting-state connectivity of hippocampal subregions in women with subjective memory decline and cardiovascular risk factors for AD. METHODS Participants comprised women with subjective memory decline and cardiovascular risk factors who participated in a parent randomized controlled trial (NCT03503669) of 12-weeks of KY versus MET and completed pre- and post-intervention resting-state magnetic resonance imaging scans (yoga: n = 11, age = 61.45±6.58 years; MET: n = 11, age = 64.55±6.41 years). Group differences in parcellated (Cole-anticevic atlas) hippocampal connectivity changes (post- minus pre-intervention) were evaluated by partial least squares analysis, controlling for age. Correlations between hippocampal connectivity and perceived stress and frequency of forgetting (assessed by questionnaires) were also evaluated. RESULTS A left anterior hippocampal subregion assigned to the default mode network (DMN) in the Cole-anticevic atlas showed greater increases in connectivity with largely ventral visual stream regions with KY than with MET (p < 0.001), which showed associations with lower stress (p < 0.05). Several posterior hippocampal subregions assigned to sensory-based networks in the Cole-anticevic atlas showed greater increases in connectivity with regions largely in the DMN and frontoparietal network with MET than with KY (p < 0.001), which showed associations with lower frequency of forgetting (p < 0.05). CONCLUSION KY training may better target stress-related hippocampal connectivity, whereas MET may better target hippocampal sensory-integration supporting better memory reliability, in women with subjective memory decline and cardiovascular risk factors.
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Affiliation(s)
- Lisa A. Kilpatrick
- Department of Psychiatry, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, University of California, Los Angeles, CA, USA
- Goodman-Luskin Microbiome Center, University of California, Los Angeles, CA, USA
| | - Prabha Siddarth
- Department of Psychiatry, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Beatrix Krause-Sorio
- Department of Psychiatry, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Michaela M. Milillo
- Department of Psychiatry, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Yesenia Aguilar-Faustino
- Department of Psychiatry, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Linda Ercoli
- Department of Psychiatry, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Katherine L. Narr
- Department of Neurology, Brain Research Institute, University of California, Los Angeles, CA, USA
| | | | - Helen Lavretsky
- Department of Psychiatry, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
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15
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Maffoni M, Pierobon A, Fundarò C. MASCoD-Multidimensional Assessment of Subjective Cognitive Decline. Front Psychol 2022; 13:921062. [PMID: 36533024 PMCID: PMC9748696 DOI: 10.3389/fpsyg.2022.921062] [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: 04/15/2022] [Accepted: 05/30/2022] [Indexed: 09/19/2023] Open
Abstract
Subjective cognitive decline (SCD) is a subclinical cognitive impairment that is complained by the individual without being objectively supported at clinical, diagnostic, and neuropsychological levels. It can negatively impact on patient's frailty and quality of life, as well as on the caregiver's burden. Moreover, it can be prodromal to Mild Cognitive Impairment or dementia. Although the clinical manifestations of SCD can differ along with several cognitive domains, to date there are only screening tools to investigate subjective memory complaints. Thus, the first aim of this paper is to propose a preliminary English and Italian version of a new screening tool called MASCoD (Multidimensional Assessment of Subjective Cognitive Decline); the second aim is to propose its preliminary adoption on a pilot sample. This schedule is a brief test derived from the review of the literature and the clinical experience provided by an experts panelist. From pilot tests, it seems promising as it can help the professional to make differential diagnosis and to predict the risk of developing severe cognitive impairment over time, developing a personalized care path. This screening tool is brief, easily embeddable in usual clinical assessment, and administrable by different professionals. Furthermore, following validation, it will allow to collect manifold cognitive manifestations of SCD, addressing the shortage of previous validated instruments globally assessing cognition affected by this condition.
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Affiliation(s)
- Marina Maffoni
- Psychology Unit, Istituti Clinici Scientifici Maugeri IRCCS, Montescano Institute, Montescano, Italy
| | - Antonia Pierobon
- Psychology Unit, Istituti Clinici Scientifici Maugeri IRCCS, Montescano Institute, Montescano, Italy
| | - Cira Fundarò
- Neurophysiopatology Unit, Istituti Clinici Scientifici Maugeri IRCCS, Montescano Institute, Montescano, Italy
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16
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Liu F, Lin X, Lin Y, Deng X, Dong R, Wang B, Bi Y. Subjective cognitive decline may mediate the occurrence of postoperative delirium by P-tau undergoing total hip replacement: The PNDABLE study. Front Aging Neurosci 2022; 14:978297. [PMID: 36533173 PMCID: PMC9748689 DOI: 10.3389/fnagi.2022.978297] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 11/10/2022] [Indexed: 10/28/2023] Open
Abstract
OBJECTIVE We again investigated the relationship between subjective cognitive decline (SCD) and postoperative delirium (POD) with a larger sample queue. We also determined whether SCD could cause the occurrence of POD through cerebrospinal fluid (CSF) biomarkers. METHODS A prospective, observational cohort study was implemented in the Qingdao Municipal Hospital Affiliated with Qingdao University. This study recruited 1,471 qualified patients affiliated with the Perioperative Neurocognitive Disorder And Biomarker Lifestyle (PNDABLE) study scheduled for total hip replacement under combined spinal and epidural anesthesia from June 2020 to May 2022. The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) were used to assess the cognitive level of the patients the day before surgery. Pittsburgh sleeps quality index (PSQI) scale was used to assess sleep status. Patients were divided into the SCD group and the non-SCD (NSCD) group based on the Subjective Cognitive Decline Scale (SCDS). CSF was collected after a successful spinal-epidural combined puncture, and amyloid-β40 (Aβ40), amyloid-β42 (Aβ42), total tau (T-tau), and phosphorylated tau (P-Tau) in CSF were analyzed by enzyme-linked immunosorbent assays. After the surgery, the incidence of POD was determined by the Confusion Assessment Scale (CAM), and Memorial Delirium Assessment Scale (MDAS) score was used to determine the severity of POD. Logistic regression and sensitivity analyses were performed to determine the relationship between CSF biomarkers, SCD, and POD. The mediating effect was used to analyze the function of specific CSF biomarkers in the relationship between SCD and POD. The risk factors of SCD were also separately verified by logistic regression and sensitivity analysis models. RESULTS The total incidence rate of POD was 19.60% (n = 225/1148), which was 29.3% (n = 120/409) in the SCD group and 14.2% (n = 105/739) in the NSCD group. We comprehensively considered the effect of covariates such as age, hypertension, and diabetes. Multivariate logistic regression analysis showed that SCD (OR = 1.467, 95%CI: 1.015-2.120, p = 0.042) and P-tau (OR = 1.046, 95%CI: 1.028-1.063, p < 0.001) were risk factors for POD. The sensitivity analysis results were consistent with the above results. Mediation analysis showed that the relationship between SCD and POD was partially mediated by P-tau, which accounted for 31.25% (P-tau, IE = 4.279 × 10-2, p < 0.001). For SCD, the results of logistic regression analysis models showed that age (OR = 1.035, 95% CI: 1.020-1.049, p < 0.001), higher preoperative PSQI score (OR = 1.047, 95%CI: 1.014-1.080, p = 0.005), and P-tau (OR = 1.015, 95%CI: 1.002-1.028, p = 0.021) were risk factors for SCD, and subsequent sensitivity analysis confirmed this result after adjustment for ASA grade, height, and weight. CONCLUSION Patients with SCD are more likely to develop POD undergoing total hip replacement, and SCD can mediate the occurrence of POD via P-tau. CLINICAL TRIAL REGISTRATION This study was registered at China Clinical Trial Registry (Chictr2000033439).
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Affiliation(s)
- Fanghao Liu
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Xu Lin
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Yanan Lin
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Xiyuan Deng
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Rui Dong
- Department of Anesthesiology, Nanjing Drum Tower Hospital, Nanjing, China
| | - Bin Wang
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Yanlin Bi
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
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17
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Cersonsky TEK, Mechery S, Thompson L, Lee A, Alber J, Sarkar IN, Brick LAD. Related amyloid burden and cortical atrophy in individuals with subtle cognitive decline. J Neuroimaging 2022; 32:1075-1079. [PMID: 36151065 PMCID: PMC9903200 DOI: 10.1111/jon.13055] [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: 07/28/2022] [Revised: 09/10/2022] [Accepted: 09/12/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND AND PURPOSE Subtle cognitive decline represents a stage of cognitive deterioration in which pathological biomarkers may be present, including early cortical atrophy and amyloid deposition. Using individual items from the Montreal Cognitive Assessment and k-modes cluster analysis, we previously identified three clusters of individuals without overt cognitive impairment: (1) High Performing (no deficits in performance), (2) Memory Deficits (lower memory performance), and (3) Compound Deficits (lower memory and executive function performance). In this study, we sought to understand the relationships found in our clusters between cortical atrophy on MR and amyloid burden on PET. METHODS Data were derived from the Alzheimer's Disease Neuroimaging Initiative and comprised individuals from our previous analyses with available MR and amyloid PET scans (n = 272). Using multiple-group structural equation modeling, we regressed amyloid standardized uptake value ratio on volumetric regions to simultaneously evaluate unique associations within each cluster. RESULTS In our Compound Deficits cluster, greater whole cerebral amyloid burden was significantly related to right entorhinal cortical and left hippocampal atrophy, rs = -.412 (p = .005) and -.304 (p = .049), respectively. Within this cluster, right entorhinal cortical atrophy was significantly related to greater amyloid burden within multiple frontal regions. CONCLUSIONS The Compound Deficits cluster, which represents a group potentially at higher risk for decline, was observed to have significantly more cortical atrophy, particularly within the entorhinal cortex and hippocampus, associated with whole brain and frontal lobe amyloid burden. These findings point to a pattern of early pathological deterioration that may place these individuals at risk for future decline.
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Affiliation(s)
- Tess E K Cersonsky
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Center for Biomedical Informatics, Brown University, Providence, Rhode Island, USA
| | - Shanti Mechery
- Memory and Aging Program, Butler Hospital, Providence, Rhode Island, USA
| | - Louisa Thompson
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Memory and Aging Program, Butler Hospital, Providence, Rhode Island, USA
| | - Athene Lee
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Memory and Aging Program, Butler Hospital, Providence, Rhode Island, USA
- Quantitative Sciences Program, Department of Psychiatry and Neurology, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Jessica Alber
- Memory and Aging Program, Butler Hospital, Providence, Rhode Island, USA
- Department of Biomedical and Pharmaceutical Sciences, George & Anne Ryan Institute for Neuroscience, University of Rhode Island, Kingston, Rhode Island, USA
| | - Indra Neil Sarkar
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Center for Biomedical Informatics, Brown University, Providence, Rhode Island, USA
- School of Public Health, Brown University, Providence, Rhode Island, USA
- Rhode Island Quality Institute, Providence, Rhode Island, USA
| | - Leslie Ann D Brick
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Quantitative Sciences Program, Department of Psychiatry and Neurology, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
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18
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Fathi M, Vakili K, Yaghoobpoor S, Tavasol A, Jazi K, Hajibeygi R, Shool S, Sodeifian F, Klegeris A, McElhinney A, Tavirani MR, Sayehmiri F. Dynamic changes in metabolites of the kynurenine pathway in Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease: A systematic Review and meta-analysis. Front Immunol 2022; 13:997240. [PMID: 36263032 PMCID: PMC9574226 DOI: 10.3389/fimmu.2022.997240] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 09/09/2022] [Indexed: 11/16/2022] Open
Abstract
Background Tryptophan (TRP) is an essential amino acid that must be provided in the diet. The kynurenine pathway (KP) is the main route of TRP catabolism into nicotinamide adenosine dinucleotide (NAD+), and metabolites of this pathway may have protective or degenerative effects on the nervous system. Thus, the KP may be involved in neurodegenerative diseases. Objectives The purpose of this systematic review and meta-analysis is to assess the changes in KP metabolites such as TRP, kynurenine (KYN), kynurenic acid (KYNA), Anthranilic acid (AA), 3-hydroxykynurenine (3-HK), 5-Hydroxyindoleacetic acid (5-HIAA), and 3-Hydroxyanthranilic acid (3-HANA) in Alzheimer’s disease (AD), Parkinson’s disease (PD), and Huntington’s disease (HD) patients compared to the control group. Methods We conducted a literature search using PubMed/Medline, Scopus, Google Scholar, Web of Science, and EMBASE electronic databases to find articles published up to 2022. Studies measuring TRP, KYN, KYNA, AA, 3-HK, 5-HIAA, 3-HANA in AD, PD, or HD patients and controls were identified. Standardized mean differences (SMDs) were used to determine the differences in the levels of the KP metabolites between the two groups. Results A total of 30 studies compromising 689 patients and 774 controls were included in our meta-analysis. Our results showed that the blood levels of TRP was significantly lower in the AD (SMD=-0.68, 95% CI=-0.97 to -0.40, p=0.000, I2 = 41.8%, k=8, n=382), PD (SMD=-0.77, 95% CI=-1.24 to -0.30, p=0.001, I2 = 74.9%, k=4, n=352), and HD (SMD=-0.90, 95% CI=-1.71 to -0.10, p=0.028, I2 = 91.0%, k=5, n=369) patients compared to the controls. Moreover, the CSF levels of 3-HK in AD patients (p=0.020) and the blood levels of KYN in HD patients (p=0.020) were lower compared with controls. Conclusion Overall, the findings of this meta-analysis support the hypothesis that the alterations in the KP may be involved in the pathogenesis of AD, PD, and HD. However, additional research is needed to show whether other KP metabolites also vary in AD, PD, and HD patients. So, the metabolites of KP can be used for better diagnosing these diseases.
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Affiliation(s)
- Mobina Fathi
- Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kimia Vakili
- Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Shirin Yaghoobpoor
- Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Arian Tavasol
- Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kimia Jazi
- Student Research Committee, Faculty of Medicine, Medical University of Qom, Qom, Iran
| | - Ramtin Hajibeygi
- Department of Neurology, Faculty of Medicine, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Sina Shool
- Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fatemeh Sodeifian
- Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Andis Klegeris
- Department of Biology, Faculty of Science, University of British Columbia Okanagan Campus, Kelowna, BC, Canada
| | - Alyssa McElhinney
- Department of Biology, Faculty of Science, University of British Columbia Okanagan Campus, Kelowna, BC, Canada
| | - Mostafa Rezaei Tavirani
- Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- *Correspondence: Mostafa Rezaei Tavirani, ; Fatemeh Sayehmiri,
| | - Fatemeh Sayehmiri
- Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- *Correspondence: Mostafa Rezaei Tavirani, ; Fatemeh Sayehmiri,
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19
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Curtis AF, Schmiedeler A, Musich M, Connell M, Miller MB, McCrae CS. COVID-19-Related Anxiety and Cognition in Middle-Aged and Older Adults: Examining Sex as a Moderator. Psychol Rep 2022; 126:1260-1283. [PMID: 35099322 PMCID: PMC8810388 DOI: 10.1177/00332941211064820] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Aging populations experience disproportionate risk for cognitive decline, which may be exacerbated by coronavirus (COVID-19) illness, particularly among women. This study tested sex as a moderator of associations between COVID-19 state anxiety and cognition in middle-aged/older adults. Adults aged 50+ (N = 275; 151 men/124 women) completed the Coronavirus Anxiety Scale and Cognitive Failures Questionnaire online from remote locations in July/August 2020. A subset of participants (n = 62) completed an objective cognitive task (Stroop). Multiple regressions determined whether sex moderated associations between COVID-19 anxiety and cognitive outcomes. Sex was a significant moderator, such that for women (not men), greater COVID-19 anxiety was associated with more memory failures and blunders (subjective measures) and worse processing speed (objective measure). COVID-19 state anxiety is linked to everyday cognition and processing speed in women, but not men. Consistency across subjective and objective measures promotes the need for sex-specific understanding of the pandemic’s behavioral and cognitive effects in mid-to-late life.
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Affiliation(s)
- Ashley F. Curtis
- Department of Psychiatry, University of Missouri, Columbia, MO, USA; Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
| | - Anthony Schmiedeler
- Department of Psychiatry, University of Missouri, Columbia, MO, USA; Department of Educational, School, and Counseling Psychology, University of Missouri, Columbia, MO, USA
| | - Madison Musich
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
| | - Maggie Connell
- Department of Psychiatry, University of Missouri, Columbia, MO, USA
| | - Mary Beth Miller
- Department of Psychiatry, University of Missouri, Columbia, MO, USA
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20
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Krause-Sorio B, Siddarth P, Kilpatrick L, Milillo MM, Aguilar-Faustino Y, Ercoli L, Narr KL, Khalsa DS, Lavretsky H. Yoga Prevents Gray Matter Atrophy in Women at Risk for Alzheimer's Disease: A Randomized Controlled Trial. J Alzheimers Dis 2022; 87:569-581. [PMID: 35275541 PMCID: PMC9198760 DOI: 10.3233/jad-215563] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/25/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUND Female sex, subjective cognitive decline (SCD), and cardiovascular risk factors (CVRFs) are known risk factors for developing Alzheimer's disease (AD). We previously demonstrated that yoga improved depression, resilience, memory and executive functions, increased hippocampal choline concentrations, and modulated brain connectivity in older adults with mild cognitive impairment. OBJECTIVE In this study (NCT03503669), we investigated brain gray matter volume (GMV) changes in older women with SCD and CVRFs following three months of yoga compared to memory enhancement training (MET). METHODS Eleven women (mean age = 61.45, SD = 6.58) with CVRF and SCD completed twelve weeks of Kundalini Yoga and Kirtan Kriya (KY + KK) while eleven women (mean age = 64.55, SD = 6.41) underwent MET. Anxiety, resilience, stress, and depression were assessed at baseline and 12 weeks, as were T1-weighted MRI scans (Siemens 3T Prisma scanner). We used Freesurfer 6.0 and tested group differences in GMV change, applying Monte-Carlo simulations with alpha = 0.05. Region-of-interest analysis was performed for hippocampus and amygdala. RESULTS Compared to KY + KK, MET showed reductions in GMV in left prefrontal, pre- and post-central, supramarginal, superior temporal and pericalcarine cortices, right paracentral, postcentral, superior and inferior parietal cortices, the banks of the superior temporal sulcus, and the pars opercularis. Right hippocampal volume increased after yoga but did not survive corrections. CONCLUSION Yoga training may offer neuroprotective effects compared to MET in preventing neurodegenerative changes and cognitive decline, even over short time intervals. Future analyses will address changes in functional connectivity in both groups.
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Affiliation(s)
- Beatrix Krause-Sorio
- Department of Psychiatry, Semel Institute for Neuroscience and Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Prabha Siddarth
- Department of Psychiatry, Semel Institute for Neuroscience and Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Lisa Kilpatrick
- Department of Psychiatry, Semel Institute for Neuroscience and Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Michaela M. Milillo
- Department of Psychiatry, Semel Institute for Neuroscience and Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Yesenia Aguilar-Faustino
- Department of Psychiatry, Semel Institute for Neuroscience and Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Linda Ercoli
- Department of Psychiatry, Semel Institute for Neuroscience and Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Katherine L. Narr
- Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Helen Lavretsky
- Department of Psychiatry, Semel Institute for Neuroscience and Behavior, University of California Los Angeles, Los Angeles, CA, USA
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21
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Decreased Resting-State Functional Complexity in Elderly with Subjective Cognitive Decline. ENTROPY 2021; 23:e23121591. [PMID: 34945897 PMCID: PMC8700613 DOI: 10.3390/e23121591] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 11/23/2021] [Accepted: 11/25/2021] [Indexed: 11/16/2022]
Abstract
Individuals with subjective cognitive decline (SCD) are at high risk of developing preclinical or clinical state of Alzheimer’s disease (AD). Resting state functional magnetic resonance imaging, which can indirectly reflect neuron activities by measuring the blood-oxygen-level-dependent (BOLD) signals, is promising in the early detection of SCD. This study aimed to explore whether the nonlinear complexity of BOLD signals can describe the subtle differences between SCD and normal aging, and uncover the underlying neuropsychological implications of these differences. In particular, we introduce amplitude-aware permutation entropy (AAPE) as the novel measure of brain entropy to characterize the complexity in BOLD signals in each brain region of the Brainnetome atlas. Our results demonstrate that AAPE can reflect the subtle differences between both groups, and the SCD group presented significantly decreased complexities in subregions of the superior temporal gyrus, the inferior parietal lobule, the postcentral gyrus, and the insular gyrus. Moreover, the results further reveal that lower complexity in SCD may correspond to poorer cognitive performance or even subtle cognitive impairment. Our findings demonstrated the effectiveness and sensitiveness of the novel brain entropy measured by AAPE, which may serve as the potential neuroimaging marker for exploring the subtle changes in SCD.
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22
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Li A, Yue L, Xiao S, Liu M. Cognitive Function Assessment and Prediction for Subjective Cognitive Decline and Mild Cognitive Impairment. Brain Imaging Behav 2021; 16:645-658. [PMID: 34491529 DOI: 10.1007/s11682-021-00545-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/14/2021] [Indexed: 11/25/2022]
Abstract
Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative dementia. Recent studies found that subjective cognitive decline (SCD) may be the early clinical precursor that precedes mild cognitive impairment (MCI) for AD. SCD subjects with normal cognition may already have some medial temporal lobe atrophy. Although brain changes by AD have been widely studied in the literature, it is still challenging to investigate the anatomical subtle changes in SCD. This paper proposes a machine learning framework by combination of sparse coding and random forest (RF) to identify the informative imaging biomarkers for assessment and prediction of cognitive functions and their changes in individuals with MCI, SCD and normal control (NC) using magnetic resonance imaging (MRI). First, we compute the volumes from both the regions of interest from whole brain and the subregions of hippocampus and amygdala as the features of structural MRIs. Then, sparse coding is applied to identify the relevant features. Finally, the proximity-based RF is used to combine three sets of volumetric features and establish a regression model for predicting clinical scores. Our method has double feature selections to better explore the relevant features for prediction and is evaluated with the T1-weighted structural MR images from 36 MCI, 112 SCD, 78 NC subjects. The results demonstrate the effectiveness of proposed method. In addition to hippocampus and amygdala, we also found that the fimbria, basal nucleus and cortical nucleus subregions are more important than other regions for prediction of Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores and their changes.
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Affiliation(s)
- Aojie Li
- Department of Instrument Science and Engineering, School of EIEE, Shanghai Jiao Tong University, Shanghai, China
| | - Ling Yue
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China.
| | - Shifu Xiao
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China.
| | - Manhua Liu
- Department of Instrument Science and Engineering, School of EIEE, Shanghai Jiao Tong University, Shanghai, China.
- MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, 200240, China.
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23
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The relationship between white matter microstructure and self-perceived cognitive decline. Neuroimage Clin 2021; 32:102794. [PMID: 34479171 PMCID: PMC8414539 DOI: 10.1016/j.nicl.2021.102794] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 08/12/2021] [Accepted: 08/13/2021] [Indexed: 11/20/2022]
Abstract
Subjective cognitive decline (SCD) is a perceived cognitive change prior to objective cognitive deficits, and although it is associated with Alzheimer's disease (AD) pathology, it likely results from multiple underlying pathologies. We investigated the association of white matter microstructure to SCD as a sensitive and early marker of cognitive decline and quantified the contribution of white matter microstructure separate from amyloidosis. Vanderbilt Memory & Aging Project participants with diffusion MRI data and a 45-item measure of SCD were included [n = 236, 137 cognitively unimpaired (CU), 99 with mild cognitive impairment (MCI), 73 ± 7 years, 37% female]. A subset of participants (64 CU, 40 MCI) underwent a fasting lumbar puncture for quantification of cerebrospinal fluid (CSF) amyloid-β(CSF Aβ42), total tau (CSF t-tau), and phosphorylated tau (CSF p-tau). Diffusion MRI data was post-processed using the free-water (FW) elimination technique, which allowed quantification of extracellular (FW) and intracellular compartment (fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity) microstructure. Microstructural values were quantified within 11 cognitive-related white matter tracts, including medial temporal lobe, frontal transcallosal, and fronto-parietal tracts using a region of interest approach. General linear modeling related each tract to SCD scores adjusting for age, sex, race/ethnicity, education, Framingham Stroke Risk Profile scores, APOE ε4 carrier status, diagnosis, Geriatric Depression Scale scores, hippocampal volume, and total white matter volume. Competitive models were analyzed to determine if white matter microstructural values have a unique role in SCD scores separate from CSF Aβ42. FW-corrected radial diffusivity (RDT) was related to SCD scores in 8 tracts: cingulum bundle, inferior longitudinal fasciculus, as well as inferior frontal gyrus (IFG) pars opercularis, IFG orbitalis, IFG pars triangularis, tapetum, medial frontal gyrus, and middle frontal gyrus transcallosal tracts. While CSF Aβ42 was related to SCD scores in our cohort (Radj2 = 39.03%; β = -0.231; p = 0.020), competitive models revealed that fornix and IFG pars triangularis transcallosal tract RDT contributed unique variance to SCD scores beyond CSF Aβ42 (Radj2 = 44.35% and Radj2 = 43.09%, respectively), with several other tract measures demonstrating nominal significance. All tracts which demonstrated nominal significance (in addition to covariates) were input into a backwards stepwise regression analysis. ILF RDT, fornix RDT, and UF FW were best associated with SCD scores (Radj2 = 46.69%; p = 6.37 × 10-12). Ultimately, we found that medial temporal lobe and frontal transcallosal tract microstructure is an important driver of SCD scores independent of early amyloid deposition. Our results highlight the potential importance of abnormal white matter diffusivity as an early contributor to cognitive decline. These results also highlight the value of incorporating multiple biomarkers to help disentangle the mechanistic heterogeneity of SCD as an early stage of cognitive decline.
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24
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Late-life depression, subjective cognitive decline, and their additive risk in incidence of dementia: A nationwide longitudinal study. PLoS One 2021; 16:e0254639. [PMID: 34260630 PMCID: PMC8279395 DOI: 10.1371/journal.pone.0254639] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 07/01/2021] [Indexed: 11/19/2022] Open
Abstract
Objective Late-life depression and subjective cognitive decline (SCD) are significant risk factors for dementia. However, studies with a large sample size are needed to clarify their independent and combined risks for subsequent dementia. Methods This nationwide population-based cohort study included all individuals aged 66 years who participated in the National Screening Program between 2009 and 2013 (N = 939,099). Subjects were followed from the day they underwent screening to the diagnosis of dementia, death, or the last follow-up day (December 31, 2017). Results Depressive symptom presentation, recent depressive disorder, and SCD independently increased dementia incidence with adjusted hazard ratio (aHR) of 1.286 (95% CI:1.255–1.318), 1.697 (95% CI:1.621–1.776), and 1.748 (95% CI: 689–1.808) respectively. Subjects having both SCD and depression had a higher risk (aHR = 2.466, 95% CI:2.383–2.551) of dementia than having depression (aHR = 1.402, 95% CI:1.364–1.441) or SCD (aHR = 1.748, 95% CI:1.689–1.808) alone. Conclusions Depressive symptoms, depressive disorder, and SCD are independent risk factors for dementia. Co-occurring depression and SCD have an additive effect on the risk of dementia; thus, early intervention and close follow up are necessary for patients with co-occurring SCD and depression.
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25
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Roheger M, Hennersdorf X, Riemann S, Flöel A, Meinzer M. A systematic review and network meta-analysis of interventions for subjective cognitive decline. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2021; 7:e12180. [PMID: 34268448 PMCID: PMC8274308 DOI: 10.1002/trc2.12180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 04/01/2020] [Accepted: 04/13/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Subjective cognitive decline (SCD) is considered a risk factor for Alzheimer's disease (AD), highlighting the need for identifying and ranking effective interventions. This was addressed in a systematic review and network meta-analysis (NMA) of pharmacological and non-pharmacological interventions for SCD. METHODS MEDLINE, Web of Science Core Collection, CENTRAL, and PsycINFO were searched for randomized controlled trials (RCTs) investigating effects on memory, global cognition, and quality of life. Random-effect model NMAs were conducted. The Cochrane Risk-of-Bias-2 tool assessed methodological quality. Prospero-Registration: CRD42020180457. RESULTS The systematic review included 56 RCTs. Education programs were most effective for improving memory, second most effective for improving global cognition. Quality of life and adverse events could not be included due to insufficient data. Overall methodological quality of studies was low. CONCLUSION Education programs were most effective for improving memory and cognition, warranting further research into effective elements of this intervention. There is urgent need to address identified methodological shortcomings in SCD intervention research.
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Affiliation(s)
- Mandy Roheger
- Department of NeurologyUniversity Medicine GreifswaldGreifswaldGermany
| | | | - Steffen Riemann
- Department of NeurologyUniversity Medicine GreifswaldGreifswaldGermany
| | - Agnes Flöel
- Department of NeurologyUniversity Medicine GreifswaldGreifswaldGermany
| | - Marcus Meinzer
- Department of NeurologyUniversity Medicine GreifswaldGreifswaldGermany
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26
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Xu X, Wang T, Li W, Li H, Xu B, Zhang M, Yue L, Wang P, Xiao S. Morphological, Structural, and Functional Networks Highlight the Role of the Cortical-Subcortical Circuit in Individuals With Subjective Cognitive Decline. Front Aging Neurosci 2021; 13:688113. [PMID: 34305568 PMCID: PMC8299728 DOI: 10.3389/fnagi.2021.688113] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 06/14/2021] [Indexed: 11/13/2022] Open
Abstract
Subjective cognitive decline (SCD) is considered the earliest stage of the clinical manifestations of the continuous progression of Alzheimer’s Disease (AD). Previous studies have suggested that multimodal brain networks play an important role in the early diagnosis and mechanisms underlying SCD. However, most of the previous studies focused on a single modality, and lacked correlation analysis between different modal biomarkers and brain regions. In order to further explore the specific characteristic of the multimodal brain networks in the stage of SCD, 22 individuals with SCD and 20 matched healthy controls (HCs) were recruited in the present study. We constructed the individual morphological, structural and functional brain networks based on 3D-T1 structural magnetic resonance imaging (sMRI), diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (rs-fMRI), respectively. A t-test was used to select the connections with significant difference, and a multi-kernel support vector machine (MK-SVM) was applied to combine the selected multimodal connections to distinguish SCD from HCs. Moreover, we further identified the consensus connections of brain networks as the most discriminative features to explore the pathological mechanisms and potential biomarkers associated with SCD. Our results shown that the combination of three modal connections using MK-SVM achieved the best classification performance, with an accuracy of 92.68%, sensitivity of 95.00%, and specificity of 90.48%. Furthermore, the consensus connections and hub nodes based on the morphological, structural, and functional networks identified in our study exhibited abnormal cortical-subcortical connections in individuals with SCD. In addition, the functional networks presented more discriminative connections and hubs in the cortical-subcortical regions, and were found to perform better in distinguishing SCD from HCs. Therefore, our findings highlight the role of the cortical-subcortical circuit in individuals with SCD from the perspective of a multimodal brain network, providing potential biomarkers for the diagnosis and prediction of the preclinical stage of AD.
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Affiliation(s)
- Xiaowen Xu
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Tao Wang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Weikai Li
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Hai Li
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.,McGovern Institute for Brain Research, Peking University, Beijing, China.,Beijing Intelligent Brain Cloud Inc., Beijing, China
| | - Boyan Xu
- Beijing Intelligent Brain Cloud Inc., Beijing, China
| | - Min Zhang
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Ling Yue
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Peijun Wang
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Shifu Xiao
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
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27
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Jiang HX, Xie X, Xu Y, Wang R, Lei X, Yu J. Older Adults' Subjective Cognitive Decline Correlated with Subjective but Not Objective Sleep: A Mediator Role of Depression. Int J Aging Hum Dev 2021; 95:42-56. [PMID: 34126785 DOI: 10.1177/00914150211024186] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
This study examined the relationship between older adults' subjective versus objective sleep and subjective cognitive decline (SCD), and explored the role of depression on this association. One hundred and four community-dwelling older adults underwent a week of actigraphic sleep monitoring, and completed a series of neuropsychological screeners. Older adults'SCD score was positively correlated with subjective insomnia, but not with objective sleep parameters. Further mediation modeling revealed that older adults'depression mediated the association between subjective insomnia and SCD. Subjective sleep, rather than objective sleep, may be a more sensitive indicator for older adults' SCD, with depression symptoms appearing to account for most of the variance. These findings extend our perspective on the relationship between sleep disruption and cognitive decline, and highlight the necessity of early targeted interventions on sleep to reduce the risk of cognitive impairment in the elderly with SCD.
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Affiliation(s)
- Hai-Xin Jiang
- 26463 Faculty of Psychology, Southwest University, Chongqing, China
| | - Xin Xie
- 26463 Faculty of Psychology, Southwest University, Chongqing, China
| | - Yang Xu
- 26463 Faculty of Psychology, Southwest University, Chongqing, China
| | - Rui Wang
- 26463 Faculty of Psychology, Southwest University, Chongqing, China
| | - Xu Lei
- 26463 Faculty of Psychology, Southwest University, Chongqing, China
| | - Jing Yu
- 26463 Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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28
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Svob Strac D, Konjevod M, Sagud M, Nikolac Perkovic M, Nedic Erjavec G, Vuic B, Simic G, Vukic V, Mimica N, Pivac N. Personalizing the Care and Treatment of Alzheimer's Disease: An Overview. Pharmgenomics Pers Med 2021; 14:631-653. [PMID: 34093032 PMCID: PMC8169052 DOI: 10.2147/pgpm.s284615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Accepted: 05/05/2021] [Indexed: 11/23/2022] Open
Abstract
Alzheimer's disease (AD) is a progressive, complex, and multifactorial neurodegenerative disorder, still without effective and stable therapeutic strategies. Currently, available medications for AD are based on symptomatic therapy, which include acetylcholinesterase (AChE) inhibitors and N-methyl-D-aspartate (NMDA) receptor antagonist. Additionally, medications such as antipsychotic drugs, antidepressants, sedative, and hypnotic agents, and mood stabilizers are used for the management of behavioral and psychological symptoms of dementia (BPSD). Clinical research has been extensively investigated treatments focusing on the hallmark pathology of AD, including the amyloid deposition, tau hyperphosphorylation, neuroinflammation, and vascular changes; however, so far without success, as all new potential drugs failed to show significant clinical benefit. The underlying heterogeneous etiology and diverse symptoms of AD suggest that a precision medicine strategy is required, which would take into account the complex genetic, epigenetic, and environmental landscape of each AD patient. The article provides a comprehensive overview of the literature on AD, the current and potential therapy of both cognitive symptoms as well as BPSD, with a special focus on gut microbiota and epigenetic modifications as new emerging drug targets. Their specific patterns could represent the basis for novel individually tailored approaches aimed to optimize precision medicine strategies for AD prevention and treatment. However, the successful application of precision medicine to AD demands a further extensive research of underlying pathological processes, as well as clinical and biological complexity of this multifactorial neurodegenerative disorder.
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Affiliation(s)
- Dubravka Svob Strac
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, Zagreb, Croatia
| | - Marcela Konjevod
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, Zagreb, Croatia
| | - Marina Sagud
- Department of Psychiatry, Clinical Hospital Centre Zagreb, Zagreb, Croatia
- University of Zagreb Medical School, Zagreb, Croatia
| | - Matea Nikolac Perkovic
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, Zagreb, Croatia
| | - Gordana Nedic Erjavec
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, Zagreb, Croatia
| | - Barbara Vuic
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, Zagreb, Croatia
| | - Goran Simic
- Department of Neuroscience, Croatian Institute for Brain Research, Zagreb, Croatia
| | - Vana Vukic
- Department of Neuroscience, Croatian Institute for Brain Research, Zagreb, Croatia
| | | | - Nela Pivac
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, Zagreb, Croatia
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Ruan Q, Zhang W, Ruan J, Chen J, Yu Z. Clinical and Objective Cognitive Measures for the Diagnosis of Cognitive Frailty Subtypes: A Comparative Study. Front Psychol 2021; 12:603974. [PMID: 34108904 PMCID: PMC8182758 DOI: 10.3389/fpsyg.2021.603974] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 04/08/2021] [Indexed: 11/30/2022] Open
Abstract
Background Cognitive frailty (CF) includes reversible and potentially reversible subtypes; the former is known as concurrent physical frailty (PF) and pre-mild cognitive impairment subjective cognitive decline (pre-MCI SCD), whereas the latter is known as concurrent PF and MCI. The diagnoses of pre-MCI SCD and MCI are based on clinical criteria and various subjective cognitive decline questionnaires. Heterogeneous assessment of cognitive impairment (CI) results in significant variability of CI, CF, and their subtype prevalence in various population-based studies. Objective This study aimed to compare the classification differences in CI and CF subtypes from PF and normal cognition by applying clinical and objective cognitive criteria. Clinical criteria comprised Fried PF and clinical MCI criteria combined with the SCD questionnaire, whereas objective criteria comprised Fried PF and objective cognitive criteria based on the norm-adjusted six neuropsychological test scores. Methods Of the 335 volunteers (age ≥ 60 years) in this study, 191 were diagnosed with CI based on clinical cognitive diagnosis criteria, and 144 were identified as robust normal based on objective cognitive assessment from the community-dwelling older adult cohort. Individuals with clinical CI, including 94 with MCI and 97 with pre-MCI SCD, were reclassified into different z-score-derived MCI, pre-MCI SCD, and normal subgroups based on objective cognitive criteria. The classification diagnostic accuracy of normal cognition, PF, pre-MCI, MCI, CF, and CF subtypes based on clinical and objective criteria was compared before and after adjusting for age, sex, and education level. Results The reclassification of objective assessments indicated better performance than that of clinical assessments in terms of discerning CI severity among different subgroups before adjusting for demographic factors. After covariate adjustment, clinical assessments significantly improved the ability to cognitively discriminate normal individuals from those with pre-MCI SCD and MCI but not the z-score-derived pre-MCI SCD and MCI groups from the robust normal group. Furthermore, the adjustment did not improve the ability to discriminate among individuals with reversible CF from those with potentially reversible CF and pre-MCI only SCD from MCI only SCD. Conclusions Objective criteria showed better performance than clinical criteria in the diagnosis of individuals with CI or CF subtypes. Rapid clinical cognitive screening in combination with normative z-scores criteria is cost effective and sustainable in clinical practice.
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Affiliation(s)
- Qingwei Ruan
- Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Huadong Hospital, Research Center of Aging and Medicine, Shanghai Institute of Geriatrics and Gerontology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Weibin Zhang
- Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Huadong Hospital, Research Center of Aging and Medicine, Shanghai Institute of Geriatrics and Gerontology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jian Ruan
- Molecular and Cellular Biology Core Facility, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China
| | - Jie Chen
- Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Huadong Hospital, Research Center of Aging and Medicine, Shanghai Institute of Geriatrics and Gerontology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Geriatrics, Huadong Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhuowei Yu
- Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Huadong Hospital, Research Center of Aging and Medicine, Shanghai Institute of Geriatrics and Gerontology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Geriatrics, Huadong Hospital, Shanghai Medical College, Fudan University, Shanghai, China
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Effects of Combined Physical Activity and Cognitive Training on Cognitive Function in Older Adults with Subjective Cognitive Decline: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2021. [DOI: 10.1155/2021/8882961] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background. Subjective cognitive decline (SCD) is recognized as the earliest prodromal stage of Alzheimer’s disease (AD). Emerging studies explored the effects of combined physical activity and cognitive training interventions on cognitive ability, psychological well-being, and emotion of older adults with SCD, but the results are now still controversial. Objective. This study systematically evaluated the enhancement effects of the combined physical-cognitive interventions on memory self-efficacy, objective cognitive function, psychological well-being, and emotion of older adults with SCD. Methods. Data sources PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang degree and conference papers database, Chinese Science and Technology Periodical (VIP) databases from their inception to 28 February 2020, the Cochrane Central Register of Controlled Trials (Cochrane Library, 2020, Issue 3), and the reference lists of all retrieved articles were searched. Data analysis and bias risk evaluation were conducted in 2020. Two reviewers (SG and YY) independently evaluated the risk of bias of the included studies using the RoB 2 tool. Results. Eleven RCTs involving 1713 participants with SCD (age 68.0 ± 6.1) were included for review and meta-analysis. The interventions in the included studies were physical activity combined with cognitive training. Multiple-modality exercise with mind-motor training, supervised strategy-based memory training sequentially after stationary cycling, Dejian Mind-Body intervention, and physical activity and cognitive stimulation were also practiced. Conclusions. Compared to the active or nonactive control groups, the combined interventions are effective in improving objective cognitive function in SCD which may show the potential value of combined physical-cognitive interventions in improving objective cognitive ability and preventing the conversion of SCD to MCI or AD and no adverse effects. However, owing to the limitations of the included studies, these findings should be interpreted cautiously.
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The Cognitive Difficulties Scale (CDS): Psychometric Characteristics in a Clinical Referral Sample. J Int Neuropsychol Soc 2021; 27:351-364. [PMID: 33081868 DOI: 10.1017/s1355617720001058] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To evaluate the psychometric characteristics of the Cognitive Difficulties Scale (CDS), a 39-item Likert-type self-report instrument that requires a fifth grade reading level. The CDS is a popular instrument that has been shown to predict cognitive decline in older persons. METHOD Participants were 512 consecutive outpatient referrals (71% women, mean age 60.6, and education 14.6 years) for a neuropsychological examination in a memory disorders clinic as part of a broader neurodiagnostic workup for cognitive decline. A principal components analysis was followed by a varimax rotation (Kaiser). Factor scores were investigated in relation to multiple internal and external criteria including demographics, Cronbach's alpha, Digit Span, and Wechsler Memory Scale-IV Logical Memory (LM) and Visual Reproduction (VR), and Minnesota Multiphasic Personality Inventory (MMPI)-2 measures of depression, anxiety, somatic preoccupations, and thought disturbance. RESULTS Six dimensions of cognitive complaint emerged accounting for 64% of the variance: attention/concentration, praxis, prospective memory, speech problems, memory for people's names, and temporal orientation. The factors showed good internal consistency (alphas > .850). Correlations with Digit Span, LM, and VR were all nonsignificant. CDS scores were associated with MMPI-2 measures of anxiety, depression, somatic preoccupation, and thought disturbance. Percentiles and T-scores were derived for raw scores on the CDS and its six component subscales. CONCLUSION The CDS is a multidimensional measure of subjective cognitive complaints that provides clinicians with a psychometrically sound basis for deriving a profile with six subscale scores. The test has clinical utility and is a potentially useful tool in research involving age-related cognitive changes and meta-cognition.
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Chung Y, Kim H, Koh DH, Park JH, Yoon S. Relationship Between Shift Intensity and Insomnia Among Hospital Nurses in Korea: A Cross-sectional Study. J Prev Med Public Health 2021; 54:46-54. [PMID: 33618499 PMCID: PMC7939760 DOI: 10.3961/jpmph.20.555] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 11/26/2020] [Indexed: 12/11/2022] Open
Abstract
Objectives This study explored the relationship between shift intensity and insomnia among hospital nurses. Methods The participants were 386 female hospital nurses who underwent a special health examination for night workers in 2015. The Korean Insomnia Severity Index (ISI), indices of shift work intensity, and other covariates such as amount of exercise, level of alcohol consumption, employment duration, and hours worked were extracted from the health examination data. The indices for shift intensity were (1) number of 3 consecutive night shifts and (2) number of short recovery periods after a previous shift, both assessed over the prior 3 months. Multiple logistic regression analysis adjusted for the aforementioned covariates was performed to evaluate the association of shift intensity with insomnia, defined as an ISI score of ≥8. Results The nurses with insomnia tended to be younger (p=0.029), to have worked 3 consecutive night shifts more frequently (p<0.001), to have experienced a greater number of short recovery periods after the previous shift (p=0.021), and to have worked for more hours (p=0.006) than the nurses without insomnia. Among the other variables, no statistically significant differences between groups were observed. Experiences of 3 or more consecutive night shifts (odds ratio [OR], 2.33; 95% confidence interval [CI], 1.29 to 4.20) and 3 or more short recovery periods (OR, 2.01; 95% CI, 1.08 to 3.73) were associated with increased odds of insomnia. Conclusions The results suggest that decreasing the shift intensity may reduce insomnia among hospital nurses working rotating shifts.
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Affiliation(s)
- Yuhjin Chung
- Department of Preventive Medicine, Graduate School of Public Health, Seoul National University, Seoul, Korea
| | - Hyunjoo Kim
- Department of Occupational and Environmental Medicine, Ewha Womans University Mokdong Hospital, Seoul, Korea
| | - Dong-Hee Koh
- Department of Occupational and Environmental Medicine, International St. Mary's Hospital, Incheon, Korea
| | - Ju-Hyun Park
- Department of Statistics, Dongguk University, Seoul, Korea
| | - Seohyun Yoon
- Ewha Medical Research Institute, Ewha Womans University School of Medicine, Seoul, Korea
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McCrae CS, Curtis AF, Nair N, Berry J, Davenport M, McGovney K, Berry RB, McCoy K, Marsiske M. Impact of a brief behavioral treatment for insomnia (BBTi) on metacognition in older adults. Sleep Med 2021; 80:286-293. [PMID: 33610076 DOI: 10.1016/j.sleep.2021.01.039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 12/11/2020] [Accepted: 01/26/2021] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Brief (≤4 sessions) behavioral treatment for insomnia (BBTi) improves insomnia symptoms in older adults. Findings for BBTi-related improvements in objective cognition are mixed, with our recent trial reporting no effects. Metacognition (appraisal of one's own performance) has not been examined. This study examined the effects of BBTi on metacognition in older adults with insomnia. METHODS Older adults with insomnia [N = 62, Mage = 69.45 (SD = 7.71)] were randomized to 4-weeks of BBTi (n = 32; psychoeducation, sleep hygiene, stimulus control, sleep restriction, relaxation, review/maintenance) or self-monitoring control (SMC; n = 30; social conversations). Throughout the study (2 week baseline, 4 week treatment, 2 week post-treament, 2 week 3-month followup), participants completed daily paper/pencil cognitive tasks (measuring verbal memory, attention, processing speed and reasoning) and provided daily metacognition ratings of their performance in four areas: quality, satisfaction, compared to same age peers, compared to own ability. Two-week averages of metacognitive ratings were calculated for baseline, treatment-first half, treatment-second half, post-treatment, and 3-month follow-up. Multilevel Modeling examined treatment effects (BBTi/SMC) over time on metacognition, controlling for age and sex. RESULTS A significant group by time interaction (p = 0.05) revealed consistent improvements over time in better metacognitive ratings relative to same age peers for BBTi. Specifically, baseline ratings [mean (M) = 51.21, standard error (SE) = 3.15] improved at first half of treatment (M = 56.65, SE = 3.15, p < 0.001), maintained improvement at second-half of treatment (p = 0.18), showed additional improvement at post-treatment (M = 60.79, SE = 3.15, p = 0.02), and maintained improvement at follow-up (M = 62.30, SE = 3.15; p = 0.02). SMC prompted inconsistent and smaller improvements between baseline (M = 53.24, SE = 3.29) and first-half of treatment (M = 56.62, SE = 3.28; p = 0.004), with additional improvement at second-half of treatment (M = 59.39, SE = 3.28; p = 0.02) that was maintained at post-treatment (p = 0.73) and returned to levels observed at first-half of treatment (M = 57.78, SE = 3.21; p = 0.55). Significant main effects of time (all ps < 0.001) for other metacognition variables (Quality, Satisfaction, Compared to own ability) indicated general improvements over time for both groups. DISCUSSION Metacognition generally improved over time regardless of treatment. BBTi selectively improved ratings of performance relative to same age peers. Repeated objective testing alone may improve metacognition in older adults with insomnia. Better understanding of metacognition and how to improve it has important implications for older adults as metacognitive complaints have been associated with mild cognitive impairment.
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Affiliation(s)
- Christina S McCrae
- Department of Psychiatry, University of Missouri-Columbia, Columbia, MO, USA.
| | - Ashley F Curtis
- Department of Psychiatry, University of Missouri-Columbia, Columbia, MO, USA; Department of Psychological Sciences, University of Missouri-Columbia, Columbia, MO, USA
| | - Neetu Nair
- Department of Psychiatry, University of Missouri-Columbia, Columbia, MO, USA
| | - Jasmine Berry
- Department of Psychological Sciences, University of Missouri-Columbia, Columbia, MO, USA
| | - Mattina Davenport
- Department of Psychiatry, University of Missouri-Columbia, Columbia, MO, USA
| | - Kevin McGovney
- Department of Psychological Sciences, University of Missouri-Columbia, Columbia, MO, USA
| | - Richard B Berry
- College of Medicine, University of Florida, Gainesville, FL, USA
| | - Karin McCoy
- Neuropsychology Service, South Texas Veterans Health Care System, San Antonio, TX, USA
| | - Michael Marsiske
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
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Yang Y, Zha X, Zhang X, Ke J, Hu S, Wang X, Su Y, Hu C. Dynamics and Concordance Abnormalities Among Indices of Intrinsic Brain Activity in Individuals With Subjective Cognitive Decline: A Temporal Dynamics Resting-State Functional Magnetic Resonance Imaging Analysis. Front Aging Neurosci 2021; 12:584863. [PMID: 33568986 PMCID: PMC7868384 DOI: 10.3389/fnagi.2020.584863] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 12/03/2020] [Indexed: 11/13/2022] Open
Abstract
Individuals with subjective cognitive decline (SCD) are more likely to develop into Alzheimer disease (AD) in the future. Resting-state functional magnetic resonance imaging (rs-fMRI) studies have shown alterations of intrinsic brain activity (IBA) in SCD individuals. However, rs-fMRI studies to date have mainly focused on static characteristics of IBA, with few studies reporting dynamics- and concordance-related changes in IBA indices in SCD individuals. To investigate these aberrant changes, a temporal dynamic analysis of rs-fMRI data was conducted on 94 SCD individuals (71.07 ± 6.18 years, 60 female), 75 (74.36 ± 8.42 years, 35 female) mild cognitive impairment (MCI) patients, and 82 age-, gender-, and education-matched controls (NCs; 73.88 ± 7.40 years, 49 female) from the Alzheimer's Disease Neuroimaging Initiative database. The dynamics and concordance of the rs-fMRI indices were calculated. The results showed that SCD individuals had a lower amplitude of low-frequency fluctuations dynamics in bilateral hippocampus (HP)/parahippocampal gyrus (PHG)/fusiform gyrus (FG) and bilateral cerebellum, a lower fractional amplitude of low-frequency fluctuation dynamics in bilateral precuneus (PreCu) and paracentral lobule, and a lower regional homogeneity dynamics in bilateral cerebellum, vermis, and left FG compared with the other two groups, whereas those in MCI patients were higher (Gaussian random field-corrected, voxel-level P < 0.001, cluster-level P < 0.05). Furthermore, SCD individuals had higher concordance in bilateral HP/PHG/FG, temporal lobe, and left midcingulate cortex than NCs, but those in MCI were lower than those in NCs. No correlation between concordance values and neuropsychological scale scores was found. SCD individuals showed both dynamics and concordance-related alterations in IBA, which indicates a compensatory mechanism in SCD individuals. Temporal dynamics analysis offers a novel approach to capturing brain alterations in individuals with SCD.
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Affiliation(s)
- Yiwen Yang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Medical Imaging, Soochow University, Suzhou, China
| | - Xinyi Zha
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiaodong Zhang
- Department of Radiology, Tianjin First Central Hospital, Tianjin, China
| | - Jun Ke
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Medical Imaging, Soochow University, Suzhou, China
| | - Su Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Medical Imaging, Soochow University, Suzhou, China
| | - Ximing Wang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Medical Imaging, Soochow University, Suzhou, China
| | - Yunyan Su
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Medical Imaging, Soochow University, Suzhou, China
| | - Chunhong Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Medical Imaging, Soochow University, Suzhou, China
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Xu X, Li W, Tao M, Xie Z, Gao X, Yue L, Wang P. Effective and Accurate Diagnosis of Subjective Cognitive Decline Based on Functional Connection and Graph Theory View. Front Neurosci 2020; 14:577887. [PMID: 33132832 PMCID: PMC7550635 DOI: 10.3389/fnins.2020.577887] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 09/02/2020] [Indexed: 12/12/2022] Open
Abstract
Subjective cognitive decline (SCD) is considered the earliest preclinical stage of Alzheimer’s disease (AD) that precedes mild cognitive impairment (MCI). Effective and accurate diagnosis of SCD is crucial for early detection of and timely intervention in AD. In this study, brain functional connectome (i.e., functional connections and graph theory metrics) based on the resting-state functional magnetic resonance imaging (rs-fMRI) provided multiple information about brain networks and has been used to distinguish individuals with SCD from normal controls (NCs). The consensus connections and the discriminative nodal graph metrics selected by group least absolute shrinkage and selection operator (LASSO) mainly distributed in the prefrontal and frontal cortices and the subcortical regions corresponded to default mode network (DMN) and frontoparietal task control network. Nodal efficiency and nodal shortest path showed the most significant discriminative ability among the selected nodal graph metrics. Furthermore, the comparison results of topological attributes suggested that the brain network integration function was weakened and network segregation function was enhanced in SCD patients. Moreover, the combination of brain connectome information based on multiple kernel-support vector machine (MK-SVM) achieved the best classification performance with 83.33% accuracy, 90.00% sensitivity, and an area under the curve (AUC) of 0.927. The findings of this study provided a new perspective to combine machine learning methods with exploration of brain pathophysiological mechanisms in SCD and offered potential neuroimaging biomarkers for diagnosis of early-stage AD.
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Affiliation(s)
- Xiaowen Xu
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Weikai Li
- College of Mathematics and Statistics, Chongqing Jiaotong University, Chongqing, China.,Universal Medical Imaging Diagnostic Center, Shanghai, China
| | - Mengling Tao
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Zhongfeng Xie
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Xin Gao
- Universal Medical Imaging Diagnostic Center, Shanghai, China
| | - Ling Yue
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Peijun Wang
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
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Zhang Y, Li Y, Ma L. Recent advances in research on Alzheimer's disease in China. J Clin Neurosci 2020; 81:43-46. [PMID: 33222956 DOI: 10.1016/j.jocn.2020.09.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 07/29/2020] [Accepted: 09/06/2020] [Indexed: 01/11/2023]
Abstract
China has the largest number of individuals with dementia worldwide. Alzheimer's disease (AD) is a growing global health issue that seriously threatens human health and quality of life and imposes a significant burden on families and society. To date, no treatment exists that can delay AD progression. This review describes the current understanding of AD in China, including its prevalence, cost burden, diagnosis, and treatment, and summarizes the major advances in AD in China, including government strategies and research. Such findings highlight the need for a brain health action plan to prevent and control AD and to reduce its increasing prevalence and dementia-related costs in China.
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Affiliation(s)
- Yaxin Zhang
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University, China National Clinical Research Center for Geriatric Medicine, Beijing 100053, China
| | - Ying Li
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University, China National Clinical Research Center for Geriatric Medicine, Beijing 100053, China
| | - Lina Ma
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University, China National Clinical Research Center for Geriatric Medicine, Beijing 100053, China.
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Jamerlan A, An SSA, Hulme J. Advances in amyloid beta oligomer detection applications in Alzheimer's disease. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.115919] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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Gorska-Ciebiada M, Ciebiada M. Association of hsCRP and vitamin D levels with mild cognitive impairment in elderly type 2 diabetic patients. Exp Gerontol 2020; 135:110926. [PMID: 32194146 DOI: 10.1016/j.exger.2020.110926] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 03/08/2020] [Accepted: 03/15/2020] [Indexed: 12/23/2022]
Abstract
AIMS The aim of the study was to determine the serum levels of 25-hydroxyvitamin D and high-sensitivity C-reactive protein (hsCRP) in elderly diabetic patients with and without mild cognitive impairment (MCI) and to examine factors (including 25-hydroxyvitamin D and hsCRP) associated with MCI in elderly patients with type 2 diabetes (T2DM). METHODS A total of 194 T2DM elders were evaluated: 62 subjects with MCI and 132 controls. Data was collected concerning biochemical parameters and biomarkers. RESULTS HsCRP concentration was elevated and 25-hydroxyvitamin D level was decreased in MCI patients to controls. HsCRP level was negatively correlated with 25-hydroxyvitamin D level and with MoCA score, and highly correlated with HbA1c level. The multivariable analysis indicated that less years of formal education, previous CVD and hypertension, increased number of co-morbidities, higher level of hsCRP and lower level of 25-hydroxyvitamin D, are the predisposing factors for MCI. CONCLUSIONS Higher hsCRP level and lower 25-hydroxyvitamin D may be regarded as a state of cognitive impairment in elderly patients with T2DM. Further prospective larger studies should be conducted to check the association between decreased vitamin D and risk of cognitive decline and to clarify whether this association may be mediated by systemic inflammation.
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Affiliation(s)
| | - Maciej Ciebiada
- Department of General and Oncological Pneumology, Medical University of Lodz, Poland.
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Caffò AO, Lopez A, Spano G, Stasolla F, Serino S, Cipresso P, Riva G, Bosco A. The differential effect of normal and pathological aging on egocentric and allocentric spatial memory in navigational and reaching space. Neurol Sci 2020; 41:1741-1749. [PMID: 32002741 DOI: 10.1007/s10072-020-04261-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 01/18/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Topographical disorientation (TD) refers to a particular condition which determines the loss of spatial orientation, both in new and familiar environments. TD and spatial memory impairments occur relatively early as effect of cognitive decline in aging, even in prodromal stages of dementia, namely mild cognitive impairment (MCI). AIMS (a) To show that components linked to the recall of familiar spatial knowledge are relatively spared with respect to the learning of unfamiliar ones in normal aging, while they are not in MCI, and (b) to investigate gender differences for their impact on egocentric and allocentric frames of reference. METHOD Forty young participants (YC), 40 healthy elderly participants (HE), 40 elderly participants with subjective memory complaints (SMC), and 40 elderly with probable MCI were administered with egocentric and allocentric familiar tasks, based on the map of their hometown, and with egocentric and allocentric unfamiliar tasks, based on new material to be learned. A series of general linear models were used to analyze data. RESULTS No group differences were found on egocentric task based on familiar information. MCI performed worse than the other groups on allocentric tasks based on familiar information (YC = HE = SMC > MCI). Significant differences emerged between groups on egocentric and allocentric tasks based on unfamiliar spatial information (YC > HE = SMC > MCI). A gender difference was found, favoring men on allocentric unfamiliar task. CONCLUSION Familiarity of spatial memory traces can represent a protective factor for retrospective components of TD in normal aging. Conversely, using newly learned information for assessment may lead to overestimating TD severity.
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Affiliation(s)
- Alessandro O Caffò
- Department of Educational Sciences, Psychology, Communication, University of Studies of Bari, Via Crisanzio, 42, 70122, Bari, BA, Italy.
| | - Antonella Lopez
- Department of Educational Sciences, Psychology, Communication, University of Studies of Bari, Via Crisanzio, 42, 70122, Bari, BA, Italy
| | - Giuseppina Spano
- Department of Educational Sciences, Psychology, Communication, University of Studies of Bari, Via Crisanzio, 42, 70122, Bari, BA, Italy
| | - Fabrizio Stasolla
- University "Giustino Fortunato", Viale Raffaele Delcogliano, 12, 82100, Benevento, BN, Italy
| | - Silvia Serino
- MySpace Lab, Department of Clinical Neurosciences, University Hospital Lausanne (CHUV), Bâtiment Champ de l'Air, Rue du Bugnon, 21, 1011, Lausanne, Switzerland
| | - Pietro Cipresso
- Applied Technology for Neuro-Psychology Lab, I.R.C.C.S, Istituto Auxologico Italiano, Via Pellizza da Volpedo, 41, 20149, Milan, MI, Italy.,Department of Psychology, Università Cattolica del Sacro Cuore, Largo Gemelli, 1, 20100, Milan, MI, Italy
| | - Giuseppe Riva
- Applied Technology for Neuro-Psychology Lab, I.R.C.C.S, Istituto Auxologico Italiano, Via Pellizza da Volpedo, 41, 20149, Milan, MI, Italy.,Department of Psychology, Università Cattolica del Sacro Cuore, Largo Gemelli, 1, 20100, Milan, MI, Italy
| | - Andrea Bosco
- Department of Educational Sciences, Psychology, Communication, University of Studies of Bari, Via Crisanzio, 42, 70122, Bari, BA, Italy
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40
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Luo C, Li M, Qin R, Chen H, Yang D, Huang L, Liu R, Xu Y, Bai F, Zhao H. White Matter Microstructural Damage as an Early Sign of Subjective Cognitive Decline. Front Aging Neurosci 2020; 11:378. [PMID: 32047428 PMCID: PMC6997435 DOI: 10.3389/fnagi.2019.00378] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 12/23/2019] [Indexed: 01/21/2023] Open
Abstract
Background and Objective: Subjective cognitive decline (SCD) is considered a preclinical state of Alzheimer's disease (AD) and may represent a more advanced preclinical status than amnestic mild cognitive impairment (aMCI). Our aim was to explore changes in the white matter (WM) microstructure and their correlation with cognitive function in these AD-spectrum patients. Methods: Diffusion tensor images from 43 individuals with normal cognition (NC), 38 SCD patients, and 36 aMCI patients were compared using an atlas-based segmentation strategy. The correlation between diffusion parameters and cognitive function was further analyzed. Results: The anatomical pattern of WM impairment was generally similar between SCD and aMCI patients. However, aMCI patients showed significantly lower fractional anisotropy (i.e., corpus callosum forceps major and forceps minor) and increased mean diffusivity [i.e., bilateral anterior thalamic radiation (ATR), left corticospinal tract (CST), forceps minor, left cingulum (cingulate gyrus), left cingulum hippocampus, and left inferior fronto-occipital fasciculus (IFO)] in some tracts than did SCD subjects, indicating a disruption in WM microstructural integrity in the aMCI. Individuals with microstructural disruption in forceps minor, left cingulum (cingulate gyrus), and left cingulum hippocampus tracts performed worse in general cognition and memory function tests, as indicated by line regression analysis. Conclusion: SCD individuals had extensive WM microstructural damage in a pattern similar to that seen in aMCI, although presenting a cognitive performance comparable with that of cognitively healthy individuals. Our results suggest that WM integrity might precede objectively measurable memory decline and may be a potential early biomarker for AD.
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Affiliation(s)
- Caimei Luo
- Department of Neurology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Mengchun Li
- Department of Neurology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Ruomeng Qin
- Department of Neurology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Haifeng Chen
- Department of Neurology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Dan Yang
- Department of Neurology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Lili Huang
- Department of Neurology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Renyuan Liu
- Department of Neurology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Feng Bai
- Department of Neurology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Hui Zhao
- Department of Neurology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
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Individual identification for different age groups using functional connectivity strength. Neurol Sci 2019; 41:417-426. [PMID: 31713193 DOI: 10.1007/s10072-019-04109-6] [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] [Received: 04/15/2019] [Accepted: 10/15/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND AND PURPOSE Many studies demonstrate individual differences in functional network, especially those with age. Meanwhile, aging is one of the potential risk factors for Alzheimer's disease. Therefore, it is important to explore the discrepant pattern in aging population. METHODS Most existing methods mostly target ancient atlas for the extraction of the classification features and not consider the effect of global signal. We use two novel atlases for the extraction of classification features and then use the whole and intra-hemispheric functional connectivity strength (FCS) as classification parameters to classify different age groups, respectively. Meanwhile, the regression of global signal or not during the preprocessing has been considered. Next, the support vector machine-recursive feature elimination (SVM-RFE) method is applied for feature selection and the SVM method is applied for classification. In addition, the receiver operating characteristic curve and area under the curve are drawn to evaluate the robustness of classifier. Finally, the discriminative features are related to the physiological mechanism of aging. RESULTS The promising classification performance exhibits that the FCS can effectively distinguish different age groups. Moreover, the SVM-RFE method can increase the accuracy and extract the discriminative features. The classifiers constructed by the features derived from different atlas receive similar classification performance. CONCLUSION This study successfully distinguishes the young group, middle-aged group, and elderly group through FCS parameter, indicating the functional pattern of the network exists difference between three groups. Moreover, the results received by the SVM-RFE method and SVM classifier have the very good robustness and not specific to particular atlas and not affected by global signal and appropriate for the FCS of the whole brain or intra-hemisphere, which suggests that we can apply them to disease diagnosis in the future.
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