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Altieri M, Maggi G, Giacobbe C, Santangelo G. Psychometric properties and normative data of the Italian version of the Cognitive Function at Work Questionnaire: a screening tool for detecting subjective cognitive complaints at work. Neurol Sci 2024; 45:2593-2603. [PMID: 38155286 DOI: 10.1007/s10072-023-07265-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 12/12/2023] [Indexed: 12/30/2023]
Abstract
INTRODUCTION Considering the extension of working life due to socioeconomic and political factors, many people may experience cognitive complaints (CC) at their workplace, with severe consequences on their quality of life. The identification of workers reporting significative SCC is crucial to eventually address them to an objective neuropsychological evaluation and implement cognitive interventions to guarantee workers' well-being. Since no Italian questionnaires for detecting CC were designed for occupational settings, the aim of the study was to validate the Italian version of the Cognitive Function at Work Questionnaire (CFWQ) and to provide its normative data. MATERIALS AND METHODS Internal consistency, convergent and divergent validity, and factorial structure of the CFWQ were evaluated. A regression-based procedure served to compute percentiles of CFWQ and its subscales. RESULTS Four hundred twenty-one participants without psychiatric and/or neurological disorders completed the survey. We found that the Italian CFWQ included 26 items, with a good internal consistency (Cronbach's alpha = 0.897) and a six-factor structure (memory, language, processing speed, abstract thinking/behavioral control, behavioral inertia, planning ability). CFWQ score did not correlate with empathy but correlated strongly with memory scores and moderately with anxiety and depression scores. CONCLUSIONS The Italian CFWQ showed good psychometric properties, in analogy with the original English scale. Therefore, it can be successfully employed in organizational contexts to possibly identify workers with CC and therefore with possible co-occurrent psychological, behavioral, and cognitive consequences.
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Affiliation(s)
- Manuela Altieri
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Gianpaolo Maggi
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Chiara Giacobbe
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Gabriella Santangelo
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy.
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Schroeder MW, Waring ME, Fowler NR, Mace RA, Pagoto SL. Association Between Subjective Cognitive Decline and Twice-Weekly Muscle-Strengthening Activities in Middle-Aged and Older US Adults: An Analysis of the 2019 Behavioral Risk Factor Surveillance System. Am J Health Promot 2024; 38:615-624. [PMID: 38226478 PMCID: PMC11123578 DOI: 10.1177/08901171231224517] [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] [Indexed: 01/17/2024]
Abstract
PURPOSE Adults with subjective cognitive decline (SCD), the self-reported concern of reduced cognitive function, are recommended to do physical activity for its brain health benefits. US adults aged ≥45 with SCD are less likely to meet the American College of Sports Medicine (ACSM) aerobic activity recommendations. Their engagement in muscle-strengthening activities is unknown. We aimed to identify if US adults aged ≥45 with SCD are less likely to do twice-weekly muscle-strengthening activities compared to those without SCD. DESIGN Secondary analysis of the 2019 Behavioral Risk Factor Surveillance System (BRFSS) data. SAMPLE 114 164 respondents, representing approximately 59 million US adults aged ≥45. MEASURES SCD was indicated if the respondent reported confusion or memory loss during the past 12 months (yes/no). Respondents reported the frequency of muscle-strengthening activities, which we categorized as meeting the ACSM's recommendations (2+ times per week) or not (<2 times per week). ANALYSIS Crude and adjusted logistic regression models controlling for variables associated with SCD and muscle-strengthening activities. The models used sample weights to represent US adults in the included 31 states and Washington D.C. RESULTS US adults aged ≥45 with SCD were less likely to do twice-weekly muscle-strengthening activities than those without SCD (28.6% [SE: .8%] vs 33.5% [SE: .3%], adjusted OR, .9; 95% CI: .9-1.0). CONCLUSION Primary care providers should encourage middle-aged and older patients to engage in muscle-strengthening and aerobic activities.
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Affiliation(s)
| | - Molly E. Waring
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT, USA
| | - Nicole R. Fowler
- Indiana University Center for Aging Research, Indianapolis, IN, USA
- Regenstrief Institute, Inc., Indianapolis, IN, USA
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Health Innovation and Implementation Science, Indiana Clinical and Translational Science Institute, Indianapolis, IN, USA
| | - Ryan A. Mace
- Center for Health Outcomes and Interdisciplinary Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Sherry L. Pagoto
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT, USA
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Miao W, Xiao Y, Lu Y, Sha J, Zheng C, Yang W, Qian X, Geng G. Correlation Between Lifestyle Patterns and Cognitive Function Among Community-Dwelling Older Chinese Adults in the Pre-Dementia Stages: A Latent Class Analysis. J Appl Gerontol 2024:7334648241255529. [PMID: 38806177 DOI: 10.1177/07334648241255529] [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: 05/30/2024] Open
Abstract
Lifestyle activity engagement is a modifiable factor for cognitive decline. We aimed to identify lifestyle patterns (LPs) among community-dwelling older adults in the pre-dementia stages and to explore the links between LPs, cognitive function, and individual characteristics. 702 older Chinese adults were recruited. Three LPs were identified by latent class analysis: active aging lifestyle pattern (AALP), leisure lifestyle pattern (LLP), and work-centered lifestyle pattern (WLP). AALP refers to participation in various activities that are meaningful to individuals and benefit their well-being. LLP is the pattern of activities aimed at recreation. WLP refers to the LP where individuals are most likely to engage in work-related activities. However, only AALP is protected against mild cognitive impairment (MCI). Multinomial logistic regression models revealed the differences in individual characteristics among participants with different LPs, indicating the importance of tailored intervention strategies. As a protective factor against MCI, AALP should be highlighted in community-based care.
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Affiliation(s)
- Weiwei Miao
- School of Nursing and Rehabilitation, Nantong University, Nantong, China
| | - Yuhua Xiao
- The Second People's Hospital of Nantong, Nantong, China
| | | | - Jinghua Sha
- The Second People's Hospital of Nantong, Nantong, China
| | - Chen Zheng
- School of Nursing and Rehabilitation, Nantong University, Nantong, China
| | - Wenwen Yang
- School of Nursing and Rehabilitation, Nantong University, Nantong, China
| | - Xiangyun Qian
- Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China
| | - Guiling Geng
- School of Nursing and Rehabilitation, Nantong University, Nantong, China
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Tian H, Zheng W, Wang J, Liu S, Wang Z. Altered functional connectivity of insular subregions in subjective cognitive decline. Front Hum Neurosci 2024; 18:1404759. [PMID: 38859994 PMCID: PMC11163085 DOI: 10.3389/fnhum.2024.1404759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 05/15/2024] [Indexed: 06/12/2024] Open
Abstract
Objective Recent research has highlighted the insula as a critical hub in human brain networks and the most susceptible region to subjective cognitive decline (SCD). However, the changes in functional connectivity of insular subregions in SCD patients remain poorly understood. The present study aims to clarify the altered functional connectivity patterns within insular subregions in individuals with SCD using resting-state functional magnetic resonance imaging (rs-fMRI). Methods In this study, we collected rs-fMRI data from 30 patients with SCD and 28 healthy controls (HCs). By defining three subregions of the insula, we mapped whole-brain resting-state functional connectivity (RSFC). We identified several distinct RSFC patterns of the insular subregions. Specifically, for positive connectivity, three cognitive-related RSFC patterns were identified within the insula, suggesting anterior-to-posterior functional subdivisions: (1) a dorsal anterior zone of the insula that shows RSFC with the executive control network (ECN); (2) a ventral anterior zone of the insula that shows functional connectivity with the salience network (SN); and (3) a posterior zone along the insula that shows functional connectivity with the sensorimotor network (SMN). Results Compared to the controls, patients with SCD exhibited increased positive RSFC to the sub-region of the insula, demonstrating compensatory plasticity. Furthermore, these abnormal insular subregion RSFCs are closely correlated with cognitive performance in the SCD patients. Conclusion Our findings suggest that different insular subregions exhibit distinct patterns of RSFC with various functional networks, which are affected differently in patients with SCD.
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Affiliation(s)
- Huan Tian
- Department of Radiology, Aerospace Center Hospital, Beijing, China
| | - Weimin Zheng
- Department of Radiology, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing, China
| | - Junkai Wang
- Department of Radiology, Aerospace Center Hospital, Beijing, China
| | - Shui Liu
- Department of Radiology, Aerospace Center Hospital, Beijing, China
| | - Zhiqun Wang
- Department of Radiology, Aerospace Center Hospital, Beijing, China
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Wang T, Ding Z, Yang X, Chen Y, Liu Y, Kong X, Sun Y. Detection of mild cognitive impairment based on attention mechanism and parallel dilated convolution. PeerJ Comput Sci 2024; 10:e2056. [PMID: 38855222 PMCID: PMC11157520 DOI: 10.7717/peerj-cs.2056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 04/22/2024] [Indexed: 06/11/2024]
Abstract
Mild cognitive impairment (MCI) is a precursor to neurodegenerative diseases such as Alzheimer's disease, and an early diagnosis and intervention can delay its progression. However, the brain MRI images of MCI patients have small changes and blurry shapes. At the same time, MRI contains a large amount of redundant information, which leads to the poor performance of current MCI detection methods based on deep learning. This article proposes an MCI detection method that integrates the attention mechanism and parallel dilated convolution. By introducing an attention mechanism, it highlights the relevant information of the lesion area in the image, suppresses irrelevant areas, eliminates redundant information in MRI images, and improves the ability to mine detailed information. Parallel dilated convolution is used to obtain a larger receptive field without downsampling, thereby enhancing the ability to acquire contextual information and improving the accuracy of small target classification while maintaining detailed information on large-scale feature maps. Experimental results on the public dataset ADNI show that the detection accuracy of the method on MCI reaches 81.63%, which is approximately 6.8% higher than the basic model. The method is expected to be used in clinical practice in the future to provide earlier intervention and treatment for MCI patients, thereby improving their quality of life.
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Affiliation(s)
- Tao Wang
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China
| | - Zenghui Ding
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China
| | - Xianjun Yang
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China
| | - Yanyan Chen
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China
| | - Yu Liu
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui, China
- Hefei Fourth People’s Hospital, Hefei, Anhui, China
| | - Xiaoming Kong
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui, China
- Hefei Fourth People’s Hospital, Hefei, Anhui, China
| | - Yining Sun
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China
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Liu Y, Su N, Li W, Hong B, Yan F, Wang J, Li X, Chen J, Xiao S, Yue L. Associations between Informant-Reported Cognitive Complaint and Longitudinal Cognitive Decline in Subjective Cognitive Decline A 7-Year Longitudinal Study. Arch Clin Neuropsychol 2024; 39:409-417. [PMID: 38180808 DOI: 10.1093/arclin/acad096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 11/21/2023] [Accepted: 12/07/2023] [Indexed: 01/07/2024] Open
Abstract
OBJECTIVE This study aimed to determine the predictive values of informant-reported memory decline (IMD) among subjective cognitive decline (SCD) older adults from a 7-year community-based cohort study. METHOD Ninety SCD participants were included. Demographic data and neuropsychological test scores at both baseline and 7-year follow-up were collected. Differences between SCD with IMD (+IMD) and SCD without IMD (-IMD) were compared. Logistic regression models were used to determine whether baseline IMD could predict diagnostic outcomes at 7-year follow-up. RESULTS Forty-one percent of SCD adults had IMD. At baseline, the +IMD group showed more depressive symptoms (p = 0.016) than the -IMD group. Furthermore, the Beijing-version Montreal Cognitive Assessment (MoCA), Digit Span Test-Forward, Visual Matching and Reasoning, and Wechsler Adult Intelligence Scale-RC Picture Completion (WAIS-PC) scores in the +IMD group were significantly lower than those in the -IMD group. Fifty-four percent of +IMD participants converted to mild cognitive impairment (MCI) or dementia at follow-up, and 22.6% of the -IMD participants converted to MCI. Follow-up Mini-Mental State Examination, MoCA, and Verbal Fluency Test scores of the +IMD group were significantly lower than those in the -IMD group. The +IMD group was more likely to progress to cognitive impairment at 7-year follow-up (OR = 3.361, p = 0.028). CONCLUSIONS SCD participants with +IMD may have poorer cognition and are more likely to convert to cognitive impairment over time. Our long-term follow-up study confirmed the importance of informants' perceptions of SCD, which can help clinicians identify individuals at risk of cognitive decline.
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Affiliation(s)
- Yuanyuan Liu
- 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
| | - Ning Su
- 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
| | - Wei Li
- 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
| | - Bo Hong
- 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
| | - Feng Yan
- 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
| | - Jinghua 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
| | - Xia Li
- 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
| | - Jianhua Chen
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 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
| | - 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
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Riverol M, Ríos-Rivera MM, Imaz-Aguayo L, Solis-Barquero SM, Arrondo C, Montoya-Murillo G, Villino-Rodríguez R, García-Eulate R, Domínguez P, Fernández-Seara MA. Structural neuroimaging changes associated with subjective cognitive decline from a clinical sample. Neuroimage Clin 2024; 42:103615. [PMID: 38749146 PMCID: PMC11109886 DOI: 10.1016/j.nicl.2024.103615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 05/01/2024] [Accepted: 05/03/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is characterized by progressive deterioration of cognitive functions. Some individuals with subjective cognitive decline (SCD) are in the early phase of the disease and subsequently progress through the AD continuum. Although neuroimaging biomarkers could be used for the accurate and early diagnosis of preclinical AD, the findings in SCD samples have been heterogeneous. This study established the morphological differences in brain magnetic resonance imaging (MRI) findings between individuals with SCD and those without cognitive impairment based on a clinical sample of patients defined according to SCD-Initiative recommendations. Moreover, we investigated baseline structural changes in the brains of participants who remained stable or progressed to mild cognitive impairment or dementia. METHODS This study included 309 participants with SCD and 43 healthy controls (HCs) with high-quality brain MRI at baseline. Among the 99 subjects in the SCD group who were followed clinically, 32 progressed (SCDp) and 67 remained stable (SCDnp). A voxel-wise statistical comparison of gray and white matter (WM) volume was performed between the HC and SCD groups and between the HC, SCDp, and SCDnp groups. XTRACT ATLAS was used to define the anatomical location of WM tract damage. Region-of-interest (ROI) analyses were performed to determine brain volumetric differences. White matter lesion (WML) burden was established in each group. RESULTS Voxel-based morphometry (VBM) analysis revealed that the SCD group exhibited gray matter atrophy in the middle frontal gyri, superior orbital gyri, superior frontal gyri, right rectal gyrus, whole occipital lobule, and both thalami and precunei. Meanwhile, ROI analysis revealed decreased volume in the left rectal gyrus, bilateral medial orbital gyri, middle frontal gyri, superior frontal gyri, calcarine fissure, and left thalamus. The SCDp group exhibited greater hippocampal atrophy (p < 0.001) than the SCDnp and HC groups on ROI analyses. On VBM analysis, however, the SCDp group exhibited increased hippocampal atrophy only when compared to the SCDnp group (p < 0.001). The SCD group demonstrated lower WM volume in the uncinate fasciculus, cingulum, inferior fronto-occipital fasciculus, anterior thalamic radiation, and callosum forceps than the HC group. However, no significant differences in WML number (p = 0.345) or volume (p = 0.156) were observed between the SCD and HC groups. CONCLUSIONS The SCD group showed brain atrophy mainly in the frontal and occipital lobes. However, only the SCDp group demonstrated atrophy in the medial temporal lobe at baseline. Structural damage in the brain regions was anatomically connected, which may contribute to early memory decline.
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Affiliation(s)
- Mario Riverol
- Department of Neurology, Clínica Universidad de Navarra, Pamplona 31008, Navarra, Spain; Instituto de Investigación Sanitaria de Navarra, Pamplona 31008, Navarra, Spain.
| | - Mirla M Ríos-Rivera
- Department of Neurology, Clínica Universidad de Navarra, Pamplona 31008, Navarra, Spain; School of Medicine, Universidad Autónoma de Chiriquí, David 4001, Chiriquí, Panama
| | - Laura Imaz-Aguayo
- Department of Neurology, Clínica Universidad de Navarra, Pamplona 31008, Navarra, Spain
| | | | - Carlota Arrondo
- Department of Neurology, Clínica Universidad de Navarra, Pamplona 31008, Navarra, Spain
| | | | | | - Reyes García-Eulate
- Department of Radiology, Clínica Universidad de Navarra, Pamplona 31008, Navarra, Spain
| | - Pablo Domínguez
- Department of Radiology, Clínica Universidad de Navarra, Pamplona 31008, Navarra, Spain; Instituto de Investigación Sanitaria de Navarra, Pamplona 31008, Navarra, Spain
| | - Maria A Fernández-Seara
- Department of Radiology, Clínica Universidad de Navarra, Pamplona 31008, Navarra, Spain; Instituto de Investigación Sanitaria de Navarra, Pamplona 31008, Navarra, Spain
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Jang H, Hill NL, Turner JR, Bratlee-Whitaker E, Jeong M, Mogle J. Poor-Quality Daily Social Encounters, Daily Stress, and Subjective Cognitive Decline Among Older Adults. Innov Aging 2024; 8:igae038. [PMID: 38854852 PMCID: PMC11154140 DOI: 10.1093/geroni/igae038] [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: 10/16/2023] [Indexed: 06/11/2024] Open
Abstract
Background and Objectives Although prior research has shown that social relationships and daily stress are strongly associated with cognitive function, few studies have explored the link between the quality of daily social encounters and subjective cognitive decline (SCD). The present study explores whether the quality of older adults' daily social encounters is associated with SCD through daily stress. Research Design and Methods This study used data from 254 adults aged 70 or older (M age = 76.5 years, SD = 4.4; 67.7% women) who completed the Einstein Aging Study, a 2-week experience sampling study. Multilevel mediation analyses were conducted to account for daily measurements nested within individuals. We tested the indirect effect of the quality of daily social encounters on SCD through daily stress levels. Results There was a significant positive association between ambivalent and neutral social encounters and daily stress levels at both the within- and between-person levels. Between-person daily stress was, in turn, associated with greater SCD. Specifically, there was a significant indirect path from ambivalent social encounters to SCD through daily stress. Discussion and Implications This study contributes to a more detailed understanding of how the quality of daily social encounters can influence cognition via increased exposure to daily stress. The findings suggest that emotional support may be crucial to preserving perceptions of older adults' cognitive functioning.
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Affiliation(s)
- Heejung Jang
- Department of Psychology, Clemson University, Clemson, South Carolina, USA
| | - Nikki L Hill
- Ross and Carol Nese College of Nursing, Penn State University, University Park, Pennsylvania, USA
| | - Jennifer R Turner
- Department of Psychology, University of Hawaii at Hilo, Hilo, Hawaii, USA
| | - Emily Bratlee-Whitaker
- Department of Patient-Centered Outcomes Assessment, RTI Health Solutions, Research Triangle Park, North Carolina, USA
| | - Mijin Jeong
- Department of Psychology, Clemson University, Clemson, South Carolina, USA
| | - Jacqueline Mogle
- Department of Psychology, Clemson University, Clemson, South Carolina, USA
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Heikkinen AL, Tikkanen V, Hänninen T, Hublin C, Koivisto AM, Saari TT, Remes AM, Paajanen TI, Krüger J. Utility of the INECO Frontal Screening and the Frontal Assessment Battery in detecting executive dysfunction in early-onset cognitive impairment and dementia. J Int Neuropsychol Soc 2024; 30:339-349. [PMID: 37800312 DOI: 10.1017/s1355617723000619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
OBJECTIVE The INECO Frontal Screening (IFS) and the Frontal Assessment Battery (FAB) are executive dysfunction (ED) screening tools that can distinguish patients with neurodegenerative disorders from healthy controls and, to some extent, between dementia subtypes. This paper aims to examine the suitability of these tests in assessing early-onset cognitive impairment and dementia patients. METHOD In a memory clinic patient cohort (age mean = 57.4 years) with symptom onset at ≤65 years, we analyzed the IFS and the FAB results of four groups: early-onset dementia (EOD, n = 49), mild cognitive impairment due to neurological causes (MCI-n, n = 34), MCI due to other causes such as depression (MCI-o, n = 99) and subjective cognitive decline (SCD, n = 14). Data were gathered at baseline and at 6 and 12 months. We also studied the tests' accuracy in distinguishing EOD from SCD patients and ED patients from those with intact executive functioning. Correlations with neuropsychological measures were also studied. RESULTS The EOD group had significantly (p < .05) lower IFS and FAB total scores than the MCI-o and SCD groups. Compared with the FAB, the IFS showed more statistically significant (p < .05) differences between diagnostic groups, greater accuracy (IFS AUC = .80, FAB AUC = .75, p = .036) in detecting ED and marginally stronger correlations with neuropsychological measures. We found no statistically significant differences in the EOD group scores from baseline up to 6- or 12-months follow-up. CONCLUSIONS While both tests can detect EOD among memory clinic patients, the IFS may be more reliable in detecting ED than the FAB.
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Affiliation(s)
- Anna-Leena Heikkinen
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Veera Tikkanen
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
| | - Tuomo Hänninen
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Christer Hublin
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Anne M Koivisto
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Geriatrics, Helsinki University Hospital, Helsinki, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Toni T Saari
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Anne M Remes
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Teemu I Paajanen
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Johanna Krüger
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
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10
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Karakasli AA, Ozkan E, Karacam Dogan M, Cap D, Karaosmanoglu A, Karahan S, Zorlu N, Saka E, Ayhan Y. Clinical predictors of Alzheimer's disease-like brain atrophy in individuals with memory complaints. Brain Behav 2024; 14:e3506. [PMID: 38688882 PMCID: PMC11061206 DOI: 10.1002/brb3.3506] [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: 12/29/2023] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 05/02/2024] Open
Abstract
OBJECTIVES The definition and assessment methods for subjective cognitive decline (SCD) vary among studies. We aimed to investigate which features or assessment methods of SCD best predict Alzheimer's disease (AD)-related structural atrophy patterns. METHODS We assessed 104 individuals aged 55+ with memory complaints but normal cognitive screening. Our research questions were as follows: To improve the prediction of AD related morphological changes, (1) Would the use of a standardized cognitive screening scale be beneficial? (2) Is conducting a thorough neuropsychological evaluation necessary instead of relying solely on cognitive screening tests? (3) Should we apply SCD-plus research criteria, and if so, which criterion would be the most effective? (4) Is it necessary to consider medical and psychiatric comorbidities, vitamin deficiencies, vascular burden on MRI, and family history? We utilized Freesurfer to analyze cortical thickness and regional brain volume meta-scores linked to AD or predicting its development. We employed multiple linear regression models for each variable, with morphology as the dependent variable. RESULTS AD-like morphology was associated with subjective complaints in males, individuals with advanced age, and higher education. Later age of onset for complaints, complaints specifically related to memory, excessive deep white matter vascular lesions, and using medications that have negative implications for cognitive health (according to the Beers criteria) were predictive of AD-related morphology. The subjective cognitive memory questionnaire scores were found to be a better predictor of reduced volumes than a single-question assessment. It is important to note that not all SCD-plus criteria were evaluated in this study, particularly the APOE genotype, amyloid, and tau status, due to resource limitations. CONCLUSIONS The detection of AD-related structural changes is impacted by demographics and assessment methods. Standardizing SCD assessment methods can enhance predictive accuracy.
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Affiliation(s)
| | - Esra Ozkan
- Research Center for Translational Medicine, Koç UniversityİstanbulTurkey
| | | | - Duygu Cap
- Department of PsychologyUfuk UniversityAnkaraTurkey
| | - Ayca Karaosmanoglu
- Department of RadiologyHacettepe University Faculty of MedicineAnkaraTurkey
| | - Sevilay Karahan
- Department of BiostatisticsHacettepe University Faculty of MedicineAnkaraTurkey
| | - Nabi Zorlu
- Department of Psychiatryİzmir Katip Çelebi University Faculty of MedicineİzmirTurkey
| | - Esen Saka
- Department of NeurologyHacettepe University Faculty of MedicineAnkaraTurkey
| | - Yavuz Ayhan
- Department of PsychiatryHacettepe University Faculty of MedicineAnkaraTurkey
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11
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Dörner M, Seebach K, Heneka MT, Menze I, von Känel R, Euler S, Schreiber F, Arndt P, Neumann K, Hildebrand A, John AC, Tyndall A, Kirchebner J, Tacik P, Jansen R, Grimm A, Henneicke S, Perosa V, Meuth SG, Peters O, Hellmann-Regen J, Preis L, Priller J, Spruth EJ, Schneider A, Fliessbach K, Wiltfang J, Jessen F, Rostamzadeh A, Glanz W, Schulze JB, Schiebler SLF, Buerger K, Janowitz D, Perneczky R, Rauchmann BS, Teipel S, Kilimann I, Laske C, Munk MH, Spottke A, Roy-Kluth N, Wagner M, Frommann I, Lüsebrink F, Dechent P, Hetzer S, Scheffler K, Kleineidam L, Stark M, Schmid M, Ersözlü E, Brosseron F, Ewers M, Schott BH, Düzel E, Ziegler G, Mattern H, Schreiber S, Bernal J. Inferior Frontal Sulcal Hyperintensities on Brain MRI Are Associated with Amyloid Positivity beyond Age-Results from the Multicentre Observational DELCODE Study. Diagnostics (Basel) 2024; 14:940. [PMID: 38732354 PMCID: PMC11083612 DOI: 10.3390/diagnostics14090940] [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: 04/03/2024] [Revised: 04/25/2024] [Accepted: 04/29/2024] [Indexed: 05/13/2024] Open
Abstract
Inferior frontal sulcal hyperintensities (IFSHs) on fluid-attenuated inversion recovery (FLAIR) sequences have been proposed to be indicative of glymphatic dysfunction. Replication studies in large and diverse samples are nonetheless needed to confirm them as an imaging biomarker. We investigated whether IFSHs were tied to Alzheimer's disease (AD) pathology and cognitive performance. We used data from 361 participants along the AD continuum, who were enrolled in the multicentre DELCODE study. The IFSHs were rated visually based on FLAIR magnetic resonance imaging. We performed ordinal regression to examine the relationship between the IFSHs and cerebrospinal fluid-derived amyloid positivity and tau positivity (Aβ42/40 ratio ≤ 0.08; pTau181 ≥ 73.65 pg/mL) and linear regression to examine the relationship between cognitive performance (i.e., Mini-Mental State Examination and global cognitive and domain-specific performance) and the IFSHs. We controlled the models for age, sex, years of education, and history of hypertension. The IFSH scores were higher in those participants with amyloid positivity (OR: 1.95, 95% CI: 1.05-3.59) but not tau positivity (OR: 1.12, 95% CI: 0.57-2.18). The IFSH scores were higher in older participants (OR: 1.05, 95% CI: 1.00-1.10) and lower in males compared to females (OR: 0.44, 95% CI: 0.26-0.76). We did not find sufficient evidence linking the IFSH scores with cognitive performance after correcting for demographics and AD biomarker positivity. IFSHs may reflect the aberrant accumulation of amyloid β beyond age.
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Affiliation(s)
- Marc Dörner
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany; (K.S.); (I.M.); (F.S.); (P.A.); (S.H.); (W.G.); (F.L.); (E.D.); (G.Z.); (H.M.); (S.S.); (J.B.)
- Department of Consultation-Liaison-Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland; (R.v.K.); (S.E.); (J.B.S.); (S.L.F.S.)
| | - Katharina Seebach
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany; (K.S.); (I.M.); (F.S.); (P.A.); (S.H.); (W.G.); (F.L.); (E.D.); (G.Z.); (H.M.); (S.S.); (J.B.)
| | - Michael T. Heneka
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 4367 Belvaux, Luxembourg;
| | - Inga Menze
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany; (K.S.); (I.M.); (F.S.); (P.A.); (S.H.); (W.G.); (F.L.); (E.D.); (G.Z.); (H.M.); (S.S.); (J.B.)
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, 39120 Magdeburg, Germany
| | - Roland von Känel
- Department of Consultation-Liaison-Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland; (R.v.K.); (S.E.); (J.B.S.); (S.L.F.S.)
| | - Sebastian Euler
- Department of Consultation-Liaison-Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland; (R.v.K.); (S.E.); (J.B.S.); (S.L.F.S.)
| | - Frank Schreiber
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany; (K.S.); (I.M.); (F.S.); (P.A.); (S.H.); (W.G.); (F.L.); (E.D.); (G.Z.); (H.M.); (S.S.); (J.B.)
- Department of Neurology, Otto-von-Guericke University, 39120 Magdeburg, Germany; (K.N.); (A.H.); (A.-C.J.)
| | - Philipp Arndt
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany; (K.S.); (I.M.); (F.S.); (P.A.); (S.H.); (W.G.); (F.L.); (E.D.); (G.Z.); (H.M.); (S.S.); (J.B.)
- Department of Neurology, Otto-von-Guericke University, 39120 Magdeburg, Germany; (K.N.); (A.H.); (A.-C.J.)
| | - Katja Neumann
- Department of Neurology, Otto-von-Guericke University, 39120 Magdeburg, Germany; (K.N.); (A.H.); (A.-C.J.)
| | - Annkatrin Hildebrand
- Department of Neurology, Otto-von-Guericke University, 39120 Magdeburg, Germany; (K.N.); (A.H.); (A.-C.J.)
| | - Anna-Charlotte John
- Department of Neurology, Otto-von-Guericke University, 39120 Magdeburg, Germany; (K.N.); (A.H.); (A.-C.J.)
| | - Anthony Tyndall
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland;
| | - Johannes Kirchebner
- Department of Forensic Psychiatry, University Hospital of Psychiatry Zurich, University of Zurich, 8032 Zurich, Switzerland;
| | - Pawel Tacik
- Department of Parkinson’s Disease, Sleep and Movement Disorders, University Hospital Bonn, 53127 Bonn, Germany;
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 53127 Bonn, Germany; (A.S.); (K.F.); (F.J.); (A.S.); (N.R.-K.); (M.W.); (I.F.); (L.K.); (M.S.); (M.S.); (F.B.)
| | - Robin Jansen
- Department of Neurology, Heinrich Heine University, 40225 Düsseldorf, Germany; (R.J.); (S.G.M.)
| | - Alexander Grimm
- Center for Neurology, Tuebingen University Hospital and Hertie-Institute for Clinical Brain Research, Eberhard Karls University Tuebingen, 72076 Tuebingen, Germany;
| | - Solveig Henneicke
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany; (K.S.); (I.M.); (F.S.); (P.A.); (S.H.); (W.G.); (F.L.); (E.D.); (G.Z.); (H.M.); (S.S.); (J.B.)
- Department of Neurology, Otto-von-Guericke University, 39120 Magdeburg, Germany; (K.N.); (A.H.); (A.-C.J.)
| | - Valentina Perosa
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA 02114, USA;
| | - Sven G. Meuth
- Department of Neurology, Heinrich Heine University, 40225 Düsseldorf, Germany; (R.J.); (S.G.M.)
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 10117 Berlin, Germany; (O.P.); (J.H.-R.); (J.P.); (E.J.S.); (E.E.)
- Institute of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 14129 Berlin, Germany;
| | - Julian Hellmann-Regen
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 10117 Berlin, Germany; (O.P.); (J.H.-R.); (J.P.); (E.J.S.); (E.E.)
- Department of Psychiatry and Neurosciences, Campus Benjamin Franklin, Charité—Universitätsmedizin Berlin, 12203 Berlin, Germany
- German Center for Mental Health (DZPG), Partner Site Berlin, 10785 Berlin, Germany
| | - Lukas Preis
- Institute of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 14129 Berlin, Germany;
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 10117 Berlin, Germany; (O.P.); (J.H.-R.); (J.P.); (E.J.S.); (E.E.)
- Department of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University Munich, 81675 Munich, Germany
- UK Dementia Research Institute (UK DRI), University of Edinburgh, Edinburgh EH16 4SB, UK
| | - Eike Jakob Spruth
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 10117 Berlin, Germany; (O.P.); (J.H.-R.); (J.P.); (E.J.S.); (E.E.)
- Department of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 53127 Bonn, Germany; (A.S.); (K.F.); (F.J.); (A.S.); (N.R.-K.); (M.W.); (I.F.); (L.K.); (M.S.); (M.S.); (F.B.)
- Department of Cognitive Disorders and Old Age Psychiatry, University Hospital Bonn, 53127 Bonn, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 53127 Bonn, Germany; (A.S.); (K.F.); (F.J.); (A.S.); (N.R.-K.); (M.W.); (I.F.); (L.K.); (M.S.); (M.S.); (F.B.)
- Department of Cognitive Disorders and Old Age Psychiatry, University Hospital Bonn, 53127 Bonn, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 37075 Goettingen, Germany; (J.W.); (B.H.S.)
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, 37075 Goettingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 53127 Bonn, Germany; (A.S.); (K.F.); (F.J.); (A.S.); (N.R.-K.); (M.W.); (I.F.); (L.K.); (M.S.); (M.S.); (F.B.)
- Department of Psychiatry, Medical Faculty, University of Cologne, 50924 Cologne, Germany;
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, 50931 Cologne, Germany
| | - Ayda Rostamzadeh
- Department of Psychiatry, Medical Faculty, University of Cologne, 50924 Cologne, Germany;
| | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany; (K.S.); (I.M.); (F.S.); (P.A.); (S.H.); (W.G.); (F.L.); (E.D.); (G.Z.); (H.M.); (S.S.); (J.B.)
| | - Jan Ben Schulze
- Department of Consultation-Liaison-Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland; (R.v.K.); (S.E.); (J.B.S.); (S.L.F.S.)
| | - Sarah Lavinia Florence Schiebler
- Department of Consultation-Liaison-Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland; (R.v.K.); (S.E.); (J.B.S.); (S.L.F.S.)
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 81377 Munich, Germany; (K.B.); (R.P.); (M.E.)
- Institute of Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany;
| | - Daniel Janowitz
- Institute of Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany;
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 81377 Munich, Germany; (K.B.); (R.P.); (M.E.)
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 81377 Munich, Germany;
- Munich Cluster for Systems Neurology (SyNergy) Munich, 81377 Munich, Germany
- Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London SW7 2AZ, UK
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 81377 Munich, Germany;
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield S10 2HQ, UK
- Department of Neuroradiology, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 18147 Rostock, Germany; (S.T.); (I.K.)
- Department of Psychosomatic Medicine, Rostock University Medical Center, 18147 Rostock, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 18147 Rostock, Germany; (S.T.); (I.K.)
- Department of Psychosomatic Medicine, Rostock University Medical Center, 18147 Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 72076 Tuebingen, Germany; (C.L.); (M.H.M.)
- Section for Dementia Research, Department of Psychiatry and Psychotherapy, Hertie Institute for Clinical Brain Research, University of Tuebingen, 72076 Tuebingen, Germany
| | - Matthias H. Munk
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 72076 Tuebingen, Germany; (C.L.); (M.H.M.)
- Department of Psychiatry and Psychotherapy, University of Tuebingen, 72076 Tuebingen, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 53127 Bonn, Germany; (A.S.); (K.F.); (F.J.); (A.S.); (N.R.-K.); (M.W.); (I.F.); (L.K.); (M.S.); (M.S.); (F.B.)
- Department of Neurology, University of Bonn, 53127 Bonn, Germany
| | - Nina Roy-Kluth
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 53127 Bonn, Germany; (A.S.); (K.F.); (F.J.); (A.S.); (N.R.-K.); (M.W.); (I.F.); (L.K.); (M.S.); (M.S.); (F.B.)
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 53127 Bonn, Germany; (A.S.); (K.F.); (F.J.); (A.S.); (N.R.-K.); (M.W.); (I.F.); (L.K.); (M.S.); (M.S.); (F.B.)
- Department of Cognitive Disorders and Old Age Psychiatry, University Hospital Bonn, 53127 Bonn, Germany
| | - Ingo Frommann
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 53127 Bonn, Germany; (A.S.); (K.F.); (F.J.); (A.S.); (N.R.-K.); (M.W.); (I.F.); (L.K.); (M.S.); (M.S.); (F.B.)
- Department of Cognitive Disorders and Old Age Psychiatry, University Hospital Bonn, 53127 Bonn, Germany
| | - Falk Lüsebrink
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany; (K.S.); (I.M.); (F.S.); (P.A.); (S.H.); (W.G.); (F.L.); (E.D.); (G.Z.); (H.M.); (S.S.); (J.B.)
| | - Peter Dechent
- MR-Research in Neurosciences, Department of Cognitive Neurology, Georg-August-University Goettingen, 37073 Gottingen, Germany;
| | - Stefan Hetzer
- Berlin Center for Advanced Neuroimaging, Charité—Universitätsmedizin Berlin, 14129 Berlin, Germany;
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tuebingen, 72076 Tuebingen, Germany;
| | - Luca Kleineidam
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 53127 Bonn, Germany; (A.S.); (K.F.); (F.J.); (A.S.); (N.R.-K.); (M.W.); (I.F.); (L.K.); (M.S.); (M.S.); (F.B.)
- Department of Cognitive Disorders and Old Age Psychiatry, University Hospital Bonn, 53127 Bonn, Germany
| | - Melina Stark
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 53127 Bonn, Germany; (A.S.); (K.F.); (F.J.); (A.S.); (N.R.-K.); (M.W.); (I.F.); (L.K.); (M.S.); (M.S.); (F.B.)
- Department of Cognitive Disorders and Old Age Psychiatry, University Hospital Bonn, 53127 Bonn, Germany
| | - Matthias Schmid
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 53127 Bonn, Germany; (A.S.); (K.F.); (F.J.); (A.S.); (N.R.-K.); (M.W.); (I.F.); (L.K.); (M.S.); (M.S.); (F.B.)
- Institute for Medical Biometry, University Hospital Bonn, 53127 Bonn, Germany
| | - Ersin Ersözlü
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 10117 Berlin, Germany; (O.P.); (J.H.-R.); (J.P.); (E.J.S.); (E.E.)
- Institute of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 14129 Berlin, Germany;
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 53127 Bonn, Germany; (A.S.); (K.F.); (F.J.); (A.S.); (N.R.-K.); (M.W.); (I.F.); (L.K.); (M.S.); (M.S.); (F.B.)
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 81377 Munich, Germany; (K.B.); (R.P.); (M.E.)
- Institute of Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany;
| | - Björn H. Schott
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 37075 Goettingen, Germany; (J.W.); (B.H.S.)
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, 37075 Goettingen, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany; (K.S.); (I.M.); (F.S.); (P.A.); (S.H.); (W.G.); (F.L.); (E.D.); (G.Z.); (H.M.); (S.S.); (J.B.)
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, 39120 Magdeburg, Germany
| | - Gabriel Ziegler
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany; (K.S.); (I.M.); (F.S.); (P.A.); (S.H.); (W.G.); (F.L.); (E.D.); (G.Z.); (H.M.); (S.S.); (J.B.)
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, 39120 Magdeburg, Germany
| | - Hendrik Mattern
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany; (K.S.); (I.M.); (F.S.); (P.A.); (S.H.); (W.G.); (F.L.); (E.D.); (G.Z.); (H.M.); (S.S.); (J.B.)
- Center for Behavioural Brain Sciences (CBBS), 39120 Magdeburg, Germany
- Biomedical Magnetic Resonance, Otto-von-Guericke University, 39120 Magdeburg, Germany
| | - Stefanie Schreiber
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany; (K.S.); (I.M.); (F.S.); (P.A.); (S.H.); (W.G.); (F.L.); (E.D.); (G.Z.); (H.M.); (S.S.); (J.B.)
- Department of Neurology, Otto-von-Guericke University, 39120 Magdeburg, Germany; (K.N.); (A.H.); (A.-C.J.)
- Center for Behavioural Brain Sciences (CBBS), 39120 Magdeburg, Germany
| | - Jose Bernal
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, 39120 Magdeburg, Germany; (K.S.); (I.M.); (F.S.); (P.A.); (S.H.); (W.G.); (F.L.); (E.D.); (G.Z.); (H.M.); (S.S.); (J.B.)
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, 39120 Magdeburg, Germany
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Deike K, Decker A, Scheyhing P, Harten J, Zimmermann N, Paech D, Peters O, Freiesleben SD, Schneider LS, Preis L, Priller J, Spruth E, Altenstein S, Lohse A, Fliessbach K, Kimmich O, Wiltfang J, Bartels C, Hansen N, Jessen F, Rostamzadeh A, Düzel E, Glanz W, Incesoy EI, Butryn M, Buerger K, Janowitz D, Ewers M, Perneczky R, Rauchmann BS, Teipel S, Kilimann I, Goerss D, Laske C, Munk MH, Spottke A, Roy N, Wagner M, Roeske S, Heneka MT, Brosseron F, Ramirez A, Dobisch L, Wolfsgruber S, Kleineidam L, Yakupov R, Stark M, Schmid MC, Berger M, Hetzer S, Dechent P, Scheffler K, Petzold GC, Schneider A, Effland A, Radbruch A. Machine Learning-Based Perivascular Space Volumetry in Alzheimer Disease. Invest Radiol 2024:00004424-990000000-00211. [PMID: 38652067 DOI: 10.1097/rli.0000000000001077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
OBJECTIVES Impaired perivascular clearance has been suggested as a contributing factor to the pathogenesis of Alzheimer disease (AD). However, it remains unresolved when the anatomy of the perivascular space (PVS) is altered during AD progression. Therefore, this study investigates the association between PVS volume and AD progression in cognitively unimpaired (CU) individuals, both with and without subjective cognitive decline (SCD), and in those clinically diagnosed with mild cognitive impairment (MCI) or mild AD. MATERIALS AND METHODS A convolutional neural network was trained using manually corrected, filter-based segmentations (n = 1000) to automatically segment the PVS in the centrum semiovale from interpolated, coronal T2-weighted magnetic resonance imaging scans (n = 894). These scans were sourced from the national German Center for Neurodegenerative Diseases Longitudinal Cognitive Impairment and Dementia Study. Convolutional neural network-based segmentations and those performed by a human rater were compared in terms of segmentation volume, identified PVS clusters, as well as Dice score. The comparison revealed good segmentation quality (Pearson correlation coefficient r = 0.70 with P < 0.0001 for PVS volume, detection rate in cluster analysis = 84.3%, and Dice score = 59.0%). Subsequent multivariate linear regression analysis, adjusted for participants' age, was performed to correlate PVS volume with clinical diagnoses, disease progression, cerebrospinal fluid biomarkers, lifestyle factors, and cognitive function. Cognitive function was assessed using the Mini-Mental State Examination, the Comprehensive Neuropsychological Test Battery, and the Cognitive Subscale of the 13-Item Alzheimer's Disease Assessment Scale. RESULTS Multivariate analysis, adjusted for age, revealed that participants with AD and MCI, but not those with SCD, had significantly higher PVS volumes compared with CU participants without SCD (P = 0.001 for each group). Furthermore, CU participants who developed incident MCI within 4.5 years after the baseline assessment showed significantly higher PVS volumes at baseline compared with those who did not progress to MCI (P = 0.03). Cognitive function was negatively correlated with PVS volume across all participant groups (P ≤ 0.005 for each). No significant correlation was found between PVS volume and any of the following parameters: cerebrospinal fluid biomarkers, sleep quality, body mass index, nicotine consumption, or alcohol abuse. CONCLUSIONS The very early changes of PVS volume may suggest that alterations in PVS function are involved in the pathophysiology of AD. Overall, the volumetric assessment of centrum semiovale PVS represents a very early imaging biomarker for AD.
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Affiliation(s)
- Katerina Deike
- From the German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany (K.D., A.D., K.F., O.K., F.J., Annika Spottke, N.R., M.W., S.R., M.T.H., F.B., Alfredo Ramirez, S.W., L.K., M.S., M.C.S., G.C.P., Anja Schneider, Alexander Radbruch); Department of Neuroradiology, University Hospital, Bonn, Germany (K.D., P.S., D.P., Alexander Radbruch); Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, University Hospital Bonn, Bonn, Germany (J.H., N.Z., K.F., M.W., Alfredo Ramirez, S.W., L.K., Anja Schneider); Department of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany (D.P.); German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany (O.P., S.D.F., J.P., E.S., S.A.); Institute of Psychiatry and Psychotherapy, Charité-Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany (O.P., S.D.F., L.-S.S., L.P.); Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany (J.P., E.S., S.A., A.L.); Department of Psychiatry and Psychotherapy, School of Medicine, Munich, Germany (J.P.); University of Edinburgh and UK DRI, Edinburgh, United Kingdom (J.P.); German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany (J.W.); Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen, Germany (J.W., C.B., N.H.); Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal (J.W.); Department of Psychiatry, University of Cologne, Cologne, Germany (F.J., Ayda Rostamzadeh); Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, Cologne, Germany (F.J., Alfredo Ramirez); German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany (E.D., W.G., E.I.I., Michaela Butryn, L.D., R.Y.); Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany (E.D., W.G., E.I.I., Michaela Butryn); Department for Psychiatry and Psychotherapy, University Clinic Magdeburg, Magdeburg, Germany (E.I.I.); German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (K.B., M.E., R.P.); Institute for Stroke and Dementia Research, LMU Munich, Germany (K.B., D.J., M.E.); Department of Psychiatry and Psychotherapy, LMU Munich, Germany (R.P., B.-S.R.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (R.P.); Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom (R.P.); Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, United Kingdom (R.P., B.-S.R.); Department of Neuroradiology, University Hospital Munich, Munich, Germany (B.-S.R.); German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany (S.T., I.K., D.G.); Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany (S.T., I.K., D.G.); German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany (C.L., M.H.M.); Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, Tübingen, Germany (C.L.); Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen Germany (M.H.M.); Department of Neurology, University of Bonn, Bonn, Germany (Annika Spottke); Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Cologne, Germany (Alfredo Ramirez); Department of Psychiatry and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX (Alfredo Ramirez); Institute for Medical Biometry, Informatics, and Epidemiology, University Hospital Bonn, Bonn, Germany (M.C.S., Moritz Berger); Berlin Center for Advanced Neuroimaging, Charité-Universitätsmedizin, Berlin, Germany (S.H.); MR-Research in Neurosciences, Department of Cognitive Neurology, Göttingen, Germany (P.D.); Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany (K.S.); Division of Vascular Neurology, Department of Neurology, University Hospital Bonn, Bonn, Germany (G.C.P.); and Institute for Applied Mathematics, University of Bonn, Bonn, Germany (A.E.)
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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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14
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Ding X, Shi J, Wang Q, Chen H, Shi X, Li Z. Research hotspots and nursing inspiration in research of older adults with subjective cognitive decline from 2003 to 2023: A bibliometric analysis. Int J Nurs Sci 2024; 11:222-232. [PMID: 38707682 PMCID: PMC11064555 DOI: 10.1016/j.ijnss.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/25/2024] [Accepted: 03/05/2024] [Indexed: 05/07/2024] Open
Abstract
Objectives There has been a significant increase in subjective cognitive decline (SCD) studies in older adults over the years. A bibliometric analysis was conducted to demonstrate the current hotspots and emerging trends in SCD research in older adults and provide references for further research in this field. Methods The study conducted a bibliometric analysis based on co-citation analysis. From the Web of Science Core Collection database, this study obtained 1,436 manuscripts regarding SCD in older adults published from 2003 to 2023. Software CiteSpace was used to analyse the results for countries, institutions, authors, journals, keywords, top-cited papers, and burst citations scientifically and intuitively. Results Our result showed an overall upward trend in the volume of publications on SCD in the elderly population, suggesting that the study of SCD in older adults has attracted the attention of researchers. The United States dominates this research field, followed by China and France. The top three institutions were the University of California System, Institut National de la Sante et de la Recherche Medicale (Inserm), and UDICE-French Research Universities. Frank Jessen, Han Ying, and Kathryn Ellis were the top three researchers. The top three cited journals were Neurology, Alzheimers & Dementia, and Journal of Alzheimer's Disease. The keywords clustering were "depression", "functional connectivity", "cognitive reserve", "cognitive function", "physical activity", "recommendations", "dementia prevention", " behavioral disorders", "primary care", "early diagnosis", and "community-based study". Keywords with the highest citation bursts include "physical activity", "framework", "preclinical Alzheimer's disease", "future dementia", and "late life depression". Conclusions Parallel to the growth trend, the range of research scopes and topics is expanding steadily, focusing on early screening and prevention, negative emotion, and symptom management, broadening researchers' perspectives, which can provide reference and guidance for nursing researchers to conduct research.
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Affiliation(s)
- Xiaotong Ding
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jiyuan Shi
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Qing Wang
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- School of Nursing, Lanzhou University, Lanzhou, China
| | - Hongli Chen
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xiuxiu Shi
- School of Nursing, Hangzhou Normal University, Hangzhou, China
| | - Zheng Li
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Grammatikopoulou M, Lazarou I, Alepopoulos V, Mpaltadoros L, Oikonomou VP, Stavropoulos TG, Nikolopoulos S, Kompatsiaris I, Tsolaki M. Assessing the cognitive decline of people in the spectrum of AD by monitoring their activities of daily living in an IoT-enabled smart home environment: a cross-sectional pilot study. Front Aging Neurosci 2024; 16:1375131. [PMID: 38605862 PMCID: PMC11007144 DOI: 10.3389/fnagi.2024.1375131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 03/06/2024] [Indexed: 04/13/2024] Open
Abstract
Introduction Assessing functional decline related to activities of daily living (ADLs) is deemed significant for the early diagnosis of dementia. As current assessment methods for ADLs often lack the ability to capture subtle changes, technology-based approaches are perceived as advantageous. Specifically, digital biomarkers are emerging, offering a promising avenue for research, as they allow unobtrusive and objective monitoring. Methods A study was conducted with the involvement of 36 participants assigned to three known groups (Healthy Controls, participants with Subjective Cognitive Decline and participants with Mild Cognitive Impairment). Participants visited the CERTH-IT Smart Home, an environment that simulates a fully functional residence, and were asked to follow a protocol describing different ADL Tasks (namely Task 1 - Meal, Task 2 - Beverage and Task 3 - Snack Preparation). By utilizing data from fixed in-home sensors installed in the Smart Home, the identification of the performed Tasks and their derived features was explored through the developed CARL platform. Furthermore, differences between groups were investigated. Finally, overall feasibility and study satisfaction were evaluated. Results The composition of the ADLs was attainable, and differentiation among the HC group compared to the SCD and the MCI groups considering the feature "Activity Duration" in Task 1 - Meal Preparation was possible, while no difference could be noted between the SCD and the MCI groups. Discussion This ecologically valid study was determined as feasible, with participants expressing positive feedback. The findings additionally reinforce the interest and need to include people in preclinical stages of dementia in research to further evolve and develop clinically relevant digital biomarkers.
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Affiliation(s)
- Margarita Grammatikopoulou
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH-ITI), Thessaloniki, Greece
| | - Ioulietta Lazarou
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH-ITI), Thessaloniki, Greece
| | - Vasilis Alepopoulos
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH-ITI), Thessaloniki, Greece
| | - Lampros Mpaltadoros
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH-ITI), Thessaloniki, Greece
| | - Vangelis P. Oikonomou
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH-ITI), Thessaloniki, Greece
| | - Thanos G. Stavropoulos
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH-ITI), Thessaloniki, Greece
| | - Spiros Nikolopoulos
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH-ITI), Thessaloniki, Greece
| | - Ioannis Kompatsiaris
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH-ITI), Thessaloniki, Greece
| | - Magda Tsolaki
- 1st Department of Neurology, G.H. “AHEPA”, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
- Greek Association of Alzheimer’s Disease and Related Disorders (GAADRD), Thessaloniki, Greece
- Laboratory of Neurodegenerative Diseases, Center for Interdisciplinary Research and Innovation (CIRI - AUTh), Balkan Center, Buildings A & B, Aristotle University of Thessaloniki, Thessaloniki, Greece
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16
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Lee Y, Nicholas ML, Connor LT. Mental Health Mediators for Subjective, Not Objective, Cognition, and Community Participation Poststroke. OTJR-OCCUPATION PARTICIPATION AND HEALTH 2024:15394492241238949. [PMID: 38494742 DOI: 10.1177/15394492241238949] [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: 03/19/2024]
Abstract
Previous studies have stated that both objective and subjective cognitive abilities and mental health symptoms are associated with community participation poststroke. However, there is a need to understand the direct and indirect associations among these variables in persons with stroke. The objective of this study was to investigate whether mental health symptoms mediate the associations of subjective and objective cognitive abilities with community participation poststroke. We built regression-based mediation models with 74 participants with mild to moderate stroke. Independent variables were objective and subjective cognitive abilities. The dependent variable was community participation. Mediators were mental health symptoms including depression, apathy, and anxiety. The results indicated that depression (b = .093), apathy (b = .134), and anxiety (b = .116) fully mediated the association between subjective cognitive ability (p < .05), but not objective cognitive ability (p > .05), and community participation poststroke. Our findings suggest that poor subjective cognitive ability combined with mental health symptoms should be addressed together to promote community participation poststroke.
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Affiliation(s)
- Yejin Lee
- Washington University School of Medicine, St. Louis, MO, USA
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Buchholz A, Deme P, Betz JF, Brandt J, Haughey N, Cervenka MC. A randomized feasibility trial of the modified Atkins diet in older adults with mild cognitive impairment due to Alzheimer's disease. Front Endocrinol (Lausanne) 2024; 15:1182519. [PMID: 38505743 PMCID: PMC10949529 DOI: 10.3389/fendo.2024.1182519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 02/05/2024] [Indexed: 03/21/2024] Open
Abstract
Background Alzheimer's disease (AD) is increasing in prevalence, but effective treatments for its cognitive impairment remain severely limited. This study investigates the impact of ketone body production through dietary manipulation on memory in persons with mild cognitive impairment due to early AD and explores potential mechanisms of action. Methods We conducted a 12-week, parallel-group, controlled feasibility trial of a ketogenic diet, the modified Atkins diet (MAD), compared to a control diet in patients with cognitive impairments attributed to AD. We administered neuropsychological assessments, including memory tests, and collected blood samples at baseline and after 12 weeks of intervention. We performed untargeted lipidomic and targeted metabolomic analyses on plasma samples to detect changes over time. Results A total of 839 individuals were screened to yield 38 randomized participants, with 20 assigned to receive MAD and 18 assigned to receive a control diet. Due to attrition, only 13 in the MAD arm and nine in the control arm were assessed for the primary endpoint, with two participants meeting ketosis levels used to define MAD adherence criteria. The average change from baseline in the Memory Composite Score was 1.37 (95% CI: -0.87, 4.90) points higher in the MAD group compared to the control group. The effect size of the intervention on baseline MAD change was moderate (Cohen's D = 0.57, 95% CI: -0.67, 1.33). In the 15 participants (nine MAD, six control) assessed for lipidomic and metabolomic-lipidomics and metabolomics, 13 metabolites and 10 lipids showed significant changes from baseline to 12 weeks, including triacylglycerols (TAGs, 50:5, 52:5, and 52:6), sphingomyelins (SM, 44:3, 46:0, 46:3, and 48:1), acetoacetate, fatty acylcarnitines, glycerol-3-phosphate, and hydroxy fatty acids. Conclusions Attrition was greatest between baseline and week 6. All participants retained at week 6 completed the study. Despite low rates of adherence by criteria defined a priori, lipidomic and metabolomic analyses indicate significant changes from baseline in circulating lipids and metabolites between MAD and control participants at 12-week postrandomization, and MAD participants showed greater, albeit nonsignificant, improvement in memory.
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Affiliation(s)
- Alison Buchholz
- Department of Psychiatry & Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Pragney Deme
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Joshua F. Betz
- Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Jason Brandt
- Department of Psychiatry & Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Norman Haughey
- Department of Psychiatry & Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Mackenzie C. Cervenka
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
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Sampatakakis SN, Roma M, Scarmeas N. Subjective Cognitive Decline and Genetic Propensity for Dementia beyond Apolipoprotein ε 4: A Systematic Review. Curr Issues Mol Biol 2024; 46:1975-1986. [PMID: 38534745 DOI: 10.3390/cimb46030129] [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: 02/14/2024] [Revised: 02/28/2024] [Accepted: 03/01/2024] [Indexed: 03/28/2024] Open
Abstract
Subjective cognitive decline (SCD) has been described as a probable early stage of dementia, as it has consistently appeared to precede the onset of objective cognitive impairment. SCD is related to many risk factors, including genetic predisposition for dementia. The Apolipoprotein (APOE) ε4 allele, which has been thoroughly studied, seems to explain genetic risk for SCD only partially. Therefore, we aimed to summarize existing data regarding genetic factors related to SCD, beyond APOE ε4, in order to improve our current understanding of SCD. We conducted a PRISMA systematic search in PubMed/MEDLINE and Embase databases using the keywords "subjective cognitive decline" and "genetic predisposition" with specific inclusion and exclusion criteria. From the 270 articles identified, 16 were finally included for the qualitative analysis. Family history of Alzheimer's disease (AD) in regard to SCD was explored in eight studies, with conflicting results. Other genes implicated in SCD, beyond APOE ε4, were investigated in six studies, which were not strong enough to provide clear conclusions. Very few data have been published regarding the association of polygenic risk for AD and SCD. Thus, many more genes related to AD must be studied, with polygenic risk scores appearing to be really promising for future investigation.
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Affiliation(s)
- Stefanos N Sampatakakis
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece
| | - Maria Roma
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece
- Department of Neurology, The Gertrude H. Sergievsky Center, Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY 10027, USA
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Ruggeri M, Ricci M, Gerace C, Blundo C. Accelerated long-term forgetting: from subjective memory decline to a defined clinical entity. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2024:1-12. [PMID: 38363088 DOI: 10.1080/13825585.2024.2317924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 02/07/2024] [Indexed: 02/17/2024]
Abstract
Subjective memory decline (SMD) might represent the preclinical phase of Alzheimer's disease (AD), and has been reported in epileptic amnesia associated with accelerated long-term forgetting (ALF). We investigated ALF in SMD subjects by means of RAVLT recall and recognition and ROCF recall after 1-week retention and compared with a control group. Two-way ANOVAs for RAVLT and ROCF were conducted, and stepwise regression analysis was administered considering EMQ and DASS-21 as factors. SMD subjects performed significantly worse than controls at 1-week delay on RAVLT recall and recognition, but not on ROCF, and not associated with depression or memory complaints. SMD patients showed ALF, which is usually associated with temporomesial dysfunctions, representing a cognitive marker to assess objectively memory problems in SMD, and to undisclose initial neurodegenerative disease involving temporal structures usually compromised in AD. Therefore, SMD might no longer be "subjective," but rather a specific and defined clinical entity.
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Affiliation(s)
- Massimiliano Ruggeri
- Unit for Cognitive Disorders and Dementia, Department of Neuroscience, San Camillo Forlanini Hospital, Rome, Italy
| | - Monica Ricci
- Unit for Cognitive Disorders and Dementia, Department of Neuroscience, San Camillo Forlanini Hospital, Rome, Italy
| | - Carmela Gerace
- Unit for Cognitive Disorders and Dementia, Department of Neuroscience, San Camillo Forlanini Hospital, Rome, Italy
| | - Carlo Blundo
- Unit for Cognitive Disorders and Dementia, Department of Neuroscience, San Camillo Forlanini Hospital, Rome, Italy
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Das S, van Engelen MPE, Goossens J, Jacobs D, Bongers B, Fieldhouse JLP, Pijnenburg YAL, Teunissen CE, Vanmechelen E, Verberk IMW. The use of synaptic biomarkers in cerebrospinal fluid to differentiate behavioral variant of frontotemporal dementia from primary psychiatric disorders and Alzheimer's disease. Alzheimers Res Ther 2024; 16:34. [PMID: 38355535 PMCID: PMC10865562 DOI: 10.1186/s13195-024-01409-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 02/04/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND Lack of early molecular biomarkers in sporadic behavioral variants of frontotemporal dementia (bvFTD) and its clinical overlap with primary psychiatric disorders (PPD) hampers its diagnostic distinction. Synaptic dysfunction is an early feature in bvFTD and identification of specific biomarkers might improve its diagnostic accuracy. Our goal was to understand the differential diagnostic potential of cerebrospinal fluid (CSF) synaptic biomarkers in bvFTD versus PPD and their specificity towards bvFTD compared with Alzheimer's disease (AD) and controls. Additionally, we explored the association of CSF synaptic biomarkers with social cognition, cognitive performance, and disease severity in these clinical groups. METHODS Participants with probable bvFTD (n = 57), PPD (n = 71), AD (n = 60), and cognitively normal controls (n = 39) with available CSF, cognitive tests, and disease severity as frontotemporal lobar degeneration-modified clinical dementia rating scale (FTLD-CDR) were included. In a subset of bvFTD and PPD cases, Ekman 60 faces test scores for social cognition were available. CSF synaptosomal-associated protein 25 (SNAP25), neurogranin (Ng), neuronal pentraxin 2 (NPTX2), and glutamate receptor 4 (GluR4) were measured, along with neurofilament light (NfL), and compared between groups using analysis of covariance (ANCOVA) and logistic regression. Diagnostic accuracy was assessed using ROC analyses, and biomarker panels were selected using Wald's backward selection. Correlations with cognitive measures were performed using Pearson's partial correlation analysis. RESULTS NPTX2 concentrations were lower in the bvFTD group compared with PPD (p < 0.001) and controls (p = 0.003) but not compared with AD. Concentrations of SNAP25 (p < 0.001) and Ng (p < 0.001) were elevated in patients with AD versus those with bvFTD and controls. The modeled panel for differential diagnosis of bvFTD versus PPD consisted of NfL and NPTX2 (AUC = 0.96, CI: 0.93-0.99, p < 0.001). In bvFTD versus AD, the modeled panel consisted of NfL, SNAP25, Ng, and GluR4 (AUC = 0.86, CI: 0.79-0.92, p < 0.001). In bvFTD, lower NPTX2 (Pearson's r = 0.29, p = 0.036) and GluR4 (Pearson's r = 0.34, p = 0.014) concentrations were weakly associated with worse performance of total cognitive score. Lower GluR4 concentrations were also associated with worse MMSE scores (Pearson's r = 0.41, p = 0.002) as well as with worse executive functioning (Pearson's r = 0.36, p = 0.011) in bvFTD. There were no associations between synaptic markers and social cognition or disease severity in bvFTD. CONCLUSION Our findings of involvement of NTPX2 in bvFTD but not PPD contribute towards better understanding of bvFTD disease pathology.
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Affiliation(s)
- Shreyasee Das
- Department of Laboratory Medicine, Neurochemistry Laboratory, Amsterdam, UMC location VrijeUniversiteit Amsterdam, Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands
- ADx NeuroSciences, Technologiepark-Zwijnaarde 6, 9052, Gent, Belgium
| | - Marie-Paule E van Engelen
- Neurology, Amsterdam UMC location VUmc, Alzheimer Center Amsterdam, VrijeUniversiteit Amsterdam, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, De Boelelaan 1085, Amsterdam, 1081 HV, The Netherlands
| | - Julie Goossens
- ADx NeuroSciences, Technologiepark-Zwijnaarde 6, 9052, Gent, Belgium
| | - Dirk Jacobs
- ADx NeuroSciences, Technologiepark-Zwijnaarde 6, 9052, Gent, Belgium
| | - Bram Bongers
- Department of Laboratory Medicine, Neurochemistry Laboratory, Amsterdam, UMC location VrijeUniversiteit Amsterdam, Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands
| | - Jay L P Fieldhouse
- Neurology, Amsterdam UMC location VUmc, Alzheimer Center Amsterdam, VrijeUniversiteit Amsterdam, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, De Boelelaan 1085, Amsterdam, 1081 HV, The Netherlands
| | - Yolande A L Pijnenburg
- Neurology, Amsterdam UMC location VUmc, Alzheimer Center Amsterdam, VrijeUniversiteit Amsterdam, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, De Boelelaan 1085, Amsterdam, 1081 HV, The Netherlands
| | - Charlotte E Teunissen
- Department of Laboratory Medicine, Neurochemistry Laboratory, Amsterdam, UMC location VrijeUniversiteit Amsterdam, Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands
- Neurology, Amsterdam UMC location VUmc, Alzheimer Center Amsterdam, VrijeUniversiteit Amsterdam, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, De Boelelaan 1085, Amsterdam, 1081 HV, The Netherlands
| | | | - Inge M W Verberk
- Department of Laboratory Medicine, Neurochemistry Laboratory, Amsterdam, UMC location VrijeUniversiteit Amsterdam, Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands.
- Neurology, Amsterdam UMC location VUmc, Alzheimer Center Amsterdam, VrijeUniversiteit Amsterdam, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, De Boelelaan 1085, Amsterdam, 1081 HV, The Netherlands.
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21
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Chui A, Boccone G, Rico P, Ngo V, Zhang A, Colquhoun H, Rotenberg S. Everyday functioning among older adults with subjective cognitive decline: a scoping review. Disabil Rehabil 2024:1-10. [PMID: 38339977 DOI: 10.1080/09638288.2024.2313127] [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: 05/04/2023] [Accepted: 01/27/2024] [Indexed: 02/12/2024]
Abstract
PURPOSE Older adults with subjective cognitive decline (SCD) experience cognitive difficulties without objectively measurable cognitive impairments but which may affect their everyday functioning. However, everyday functioning in this population has not yet been characterized. We sought to describe the empirical literature on the everyday functioning of community-dwelling older adults with SCD, their recruitment methods, and the measurements used. METHODS A scoping review was conducted for primary research articles including at least one measure of everyday functioning. Retrieved records were independently screened. Data were extracted then analyzed using descriptive statistics and summative content analysis. RESULTS 6544 studies were screened; 21 studies were included. All were observational analytic studies. Most compared an SCD group with a group of healthy control (47.6%), mild cognitive impairment (71.5%), and/or dementia (33.3%). Subjective cognition was measured via interview (28.6%) or clinical question(s) (14.3%). Normal cognition was determined by a wide variety of cognitive tests. The most studied everyday functioning domain was instrumental activities of daily living (90.5%). Most studies used questionnaires (81.0%), and measured ability to do an everyday life task (76.2%). CONCLUSIONS More research is needed on everyday functioning other than IADL, with greater focus on measures that consider an individual's real-life participation.
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Affiliation(s)
- Adora Chui
- Rehabilitation Sciences Institute, University of Toronto, Toronto, Canada
- Rotman Research Institute, Baycrest, Toronto, Canada
| | - Gabriella Boccone
- Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Canada
| | - Paula Rico
- Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Canada
| | - Vivian Ngo
- Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Canada
| | - Alan Zhang
- Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Canada
| | - Heather Colquhoun
- Rehabilitation Sciences Institute, University of Toronto, Toronto, Canada
- Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Canada
| | - Shlomit Rotenberg
- Rehabilitation Sciences Institute, University of Toronto, Toronto, Canada
- Rotman Research Institute, Baycrest, Toronto, Canada
- Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Canada
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22
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Giannios G, Mpaltadoros L, Alepopoulos V, Grammatikopoulou M, Stavropoulos TG, Nikolopoulos S, Lazarou I, Tsolaki M, Kompatsiaris I. A Semantic Framework to Detect Problems in Activities of Daily Living Monitored through Smart Home Sensors. SENSORS (BASEL, SWITZERLAND) 2024; 24:1107. [PMID: 38400265 PMCID: PMC10892043 DOI: 10.3390/s24041107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 02/25/2024]
Abstract
Activities of daily living (ADLs) are fundamental routine tasks that the majority of physically and mentally healthy people can independently execute. In this paper, we present a semantic framework for detecting problems in ADLs execution, monitored through smart home sensors. In the context of this work, we conducted a pilot study, gathering raw data from various sensors and devices installed in a smart home environment. The proposed framework combines multiple Semantic Web technologies (i.e., ontology, RDF, triplestore) to handle and transform these raw data into meaningful representations, forming a knowledge graph. Subsequently, SPARQL queries are used to define and construct explicit rules to detect problematic behaviors in ADL execution, a procedure that leads to generating new implicit knowledge. Finally, all available results are visualized in a clinician dashboard. The proposed framework can monitor the deterioration of ADLs performance for people across the dementia spectrum by offering a comprehensive way for clinicians to describe problematic behaviors in the everyday life of an individual.
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Affiliation(s)
- Giorgos Giannios
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Lampros Mpaltadoros
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Vasilis Alepopoulos
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Margarita Grammatikopoulou
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Thanos G. Stavropoulos
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Spiros Nikolopoulos
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Ioulietta Lazarou
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
| | - Magda Tsolaki
- Department of Neurology I, Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
- Greek Association of Alzheimer’s Disease and Related Disorders (GAADRD), 54643 Thessaloniki, Greece
- Laboratory of Neurodegenerative Diseases, Center for Interdisciplinary Research and Innovation (CIRI-AUTh), Balkan Center, Buildings A & B, 57001 Thessaloniki, Greece
| | - Ioannis Kompatsiaris
- Information Technologies Institute, Centre for Research & Technology Hellas, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece; (G.G.); (L.M.); (V.A.); (M.G.); (T.G.S.); (I.L.); (I.K.)
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23
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Zapater-Fajarí M, Diaz-Galvan P, Cedres N, Rydberg Sterner T, Rydén L, Sacuiu S, Waern M, Zettergren A, Zetterberg H, Blennow K, Kern S, Hidalgo V, Salvador A, Westman E, Skoog I, Ferreira D. Biomarkers of Alzheimer's Disease and Cerebrovascular Disease in Relation to Depressive Symptomatology in Individuals With Subjective Cognitive Decline. J Gerontol A Biol Sci Med Sci 2024; 79:glad216. [PMID: 37708068 PMCID: PMC10803123 DOI: 10.1093/gerona/glad216] [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: 05/03/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Subjective cognitive decline (SCD) has gained recent interest as a potential harbinger of neurodegenerative diseases such as Alzheimer's disease (AD) and cerebrovascular disease (CVD). In addition, SCD can be related to depressive symptomatology. However, the association between AD and CVD biomarkers, depressive symptomatology, and SCD is still unclear. We investigated the association of AD and CVD biomarkers and depressive symptomatology with SCD in individuals with subjective memory complaints (SCD-memory group) and individuals with subjective concentration complaints (SCD-concentration group). METHODS We recruited a population-based cohort of 217 individuals (all aged 70 years, 53% female participants, 119 SCD-memory individuals, 23 SCD-concentration individuals, and 89 controls). AD and CVD were assessed through cerebrospinal fluid levels of the Aβ42/40 ratio and phosphorylated tau, and white matter signal abnormalities on magnetic resonance imaging, respectively. Associations between biomarkers, depressive symptomatology, and SCD were tested via logistic regression and correlation analyses. RESULTS We found a significant association between depressive symptomatology with SCD-memory and SCD-concentration. Depressive symptomatology was not associated with AD and CVD biomarkers. Both the phosphorylated tau biomarker and depressive symptomatology predicted SCD-memory, and the Aβ42/40 ratio and depressive symptomatology predicted SCD-concentration. CONCLUSIONS The role of depressive symptomatology in SCD may differ depending on the stage within the spectrum of preclinical AD (as determined by amyloid-beta and tau positivity), and does not seem to reflect AD pathology. Our findings contribute to the emerging field of subclinical depressive symptomatology in SCD and clarify the association of different types of subjective complaints with distinct syndromic and biomarker profiles.
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Affiliation(s)
- Mariola Zapater-Fajarí
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institute, Stockholm, Sweden
- Laboratory of Cognitive Social Neuroscience, Department of Psychobiology and IDOCAL, University of Valencia, Valencia, Spain
| | - Patricia Diaz-Galvan
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institute, Stockholm, Sweden
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Nira Cedres
- Department of Psychology, Sensory Cognitive Interaction Laboratory (SCI-Lab), Stockholm University, Stockholm, Sweden
- Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias, Las Palmas de Gran Canaria, España
| | - Therese Rydberg Sterner
- Centre for Ageing and Health at The University of Gothenburg, Gothenburg, Sweden
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at The University of Gothenburg, Gothenburg, Sweden
| | - Lina Rydén
- Centre for Ageing and Health at The University of Gothenburg, Gothenburg, Sweden
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at The University of Gothenburg, Gothenburg, Sweden
| | - Simona Sacuiu
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institute, Stockholm, Sweden
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at The University of Gothenburg, Gothenburg, Sweden
| | - Margda Waern
- Centre for Ageing and Health at The University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychosis Department, Gothenburg, Sweden
| | - Anna Zettergren
- Centre for Ageing and Health at The University of Gothenburg, Gothenburg, Sweden
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at The University of Gothenburg, Gothenburg, Sweden
| | - Henrik Zetterberg
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at The University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Kaj Blennow
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at The University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Silke Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at The University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Clinic for Psychiatry, Cognition and Old Age Psychiatry, Gothenburg, Sweden
| | - Vanesa Hidalgo
- Laboratory of Cognitive Social Neuroscience, Department of Psychobiology and IDOCAL, University of Valencia, Valencia, Spain
- IIS Aragón, Department of Psychology and Sociology, Area of Psychobiology, University of Zaragoza, Teruel, Spain
| | - Alicia Salvador
- Laboratory of Cognitive Social Neuroscience, Department of Psychobiology and IDOCAL, University of Valencia, Valencia, Spain
- Spanish National Network for Research in Mental Health CIBERSAM, Madrid, Spain
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institute, Stockholm, Sweden
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at The University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Clinic for Psychiatry, Cognition and Old Age Psychiatry, Gothenburg, Sweden
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institute, Stockholm, Sweden
- Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias, Las Palmas de Gran Canaria, España
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24
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Gonzalez‐Ortiz F, Ferreira PCL, González‐Escalante A, Montoliu‐Gaya L, Ortiz‐Romero P, Kac PR, Turton M, Kvartsberg H, Ashton NJ, Zetterberg H, Harrison P, Bellaver B, Povala G, Villemagne VL, Pascoal TA, Ganguli M, Cohen AD, Minguillon C, Contador J, Suárez‐Calvet M, Karikari TK, Blennow K. A novel ultrasensitive assay for plasma p-tau217: Performance in individuals with subjective cognitive decline and early Alzheimer's disease. Alzheimers Dement 2024; 20:1239-1249. [PMID: 37975513 PMCID: PMC10916963 DOI: 10.1002/alz.13525] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/06/2023] [Accepted: 10/06/2023] [Indexed: 11/19/2023]
Abstract
INTRODUCTION Detection of Alzheimer's disease (AD) pathophysiology among individuals with mild cognitive changes and those experiencing subjective cognitive decline (SCD) remains challenging. Plasma phosphorylated tau 217 (p-tau217) is one of the most promising of the emerging biomarkers for AD. However, accessible methods are limited. METHODS We employed a novel p-tau217 immunoassay (University of Gothenburg [UGOT] p-tau217) in four independent cohorts (n = 308) including a cerebrospinal fluid (CSF) biomarker-classified cohort (Discovery), two cohorts consisting mostly of cognitively unimpaired (CU) and mild cognitively impaired (MCI) participants (MYHAT and Pittsburgh), and a population-based cohort of individuals with SCD (Barcelonaβeta Brain Research Center's Alzheimer's At-Risk Cohort [β-AARC]). RESULTS UGOT p-tau217 showed high accuracy (area under the curve [AUC] = 0.80-0.91) identifying amyloid beta (Aβ) pathology, determined either by Aβ positron emission tomography or CSF Aβ42/40 ratio. In individuals experiencing SCD, UGOT p-tau217 showed high accuracy identifying those with a positive CSF Aβ42/40 ratio (AUC = 0.91). DISCUSSION UGOT p-tau217 can be an easily accessible and efficient way to screen and monitor patients with suspected AD pathophysiology, even in the early stages of the continuum.
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25
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Lantero-Rodriguez J, Montoliu-Gaya L, Benedet AL, Vrillon A, Dumurgier J, Cognat E, Brum WS, Rahmouni N, Stevenson J, Servaes S, Therriault J, Becker B, Brinkmalm G, Snellman A, Huber H, Kvartsberg H, Ashton NJ, Zetterberg H, Paquet C, Rosa-Neto P, Blennow K. CSF p-tau205: a biomarker of tau pathology in Alzheimer's disease. Acta Neuropathol 2024; 147:12. [PMID: 38184490 PMCID: PMC10771353 DOI: 10.1007/s00401-023-02659-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/31/2023] [Accepted: 11/16/2023] [Indexed: 01/08/2024]
Abstract
Post-mortem staging of Alzheimer's disease (AD) neurofibrillary pathology is commonly performed by immunohistochemistry using AT8 antibody for phosphorylated tau (p-tau) at positions 202/205. Thus, quantification of p-tau205 and p-tau202 in cerebrospinal fluid (CSF) should be more reflective of neurofibrillary tangles in AD than other p-tau epitopes. We developed two novel Simoa immunoassays for CSF p-tau205 and p-tau202 and measured these phosphorylations in three independent cohorts encompassing the AD continuum, non-AD cases and cognitively unimpaired participants: a discovery cohort (n = 47), an unselected clinical cohort (n = 212) and a research cohort well-characterized by fluid and imaging biomarkers (n = 262). CSF p-tau205 increased progressively across the AD continuum, while CSF p-tau202 was increased only in AD and amyloid (Aβ) and tau pathology positive (A+T+) cases (P < 0.01). In A+ cases, CSF p-tau205 and p-tau202 showed stronger associations with tau-PET (rSp205 = 0.67, rSp202 = 0.45) than Aβ-PET (rSp205 = 0.40, rSp202 = 0.09). CSF p-tau205 increased gradually across tau-PET Braak stages (P < 0.01), whereas p-tau202 only increased in Braak V-VI (P < 0.0001). Both showed stronger regional associations with tau-PET than with Aβ-PET, and CSF p-tau205 was significantly associated with Braak V-VI tau-PET regions. When assessing the contribution of Aβ and tau pathologies (indexed by PET) to CSF p-tau205 and p-tau202 variance, tau pathology was found to be the most prominent contributor in both cases (CSF p-tau205: R2 = 69.7%; CSF p-tau202: R2 = 85.6%) Both biomarkers associated with brain atrophy measurements globally (rSp205 = - 0.36, rSp202 = - 0.33) and regionally, and correlated with cognition (rSp205 = - 0.38/- 0.40, rSp202 = - 0.20/- 0.29). In conclusion, we report the first high-throughput CSF p-tau205 immunoassay for the in vivo quantification of tau pathology in AD, and a potentially cost-effective alternative to tau-PET in clinical settings and clinical trials.
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Affiliation(s)
- Juan Lantero-Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
| | - Laia Montoliu-Gaya
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Andrea L Benedet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Agathe Vrillon
- Cognitive Neurology Center, Université de Paris Cité, GHU Nord APHP Hospital Lariboisière Fernand Widal, Paris, France
| | - Julien Dumurgier
- Cognitive Neurology Center, Université de Paris Cité, GHU Nord APHP Hospital Lariboisière Fernand Widal, Paris, France
| | - Emmanuel Cognat
- Cognitive Neurology Center, Université de Paris Cité, GHU Nord APHP Hospital Lariboisière Fernand Widal, Paris, France
| | - Wagner S Brum
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil
| | - Nesrine Rahmouni
- Montreal Neurological Institute, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Jenna Stevenson
- Montreal Neurological Institute, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Stijn Servaes
- Montreal Neurological Institute, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Joseph Therriault
- Montreal Neurological Institute, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Bruno Becker
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Gunnar Brinkmalm
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Anniina Snellman
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Turku PET Centre, University of Turku, Turku University Hospital, Turku, Finland
| | - Hanna Huber
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Hlin Kvartsberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Old Age Psychiatry, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
| | - Claire Paquet
- Cognitive Neurology Center, Université de Paris Cité, GHU Nord APHP Hospital Lariboisière Fernand Widal, Paris, France
| | - Pedro Rosa-Neto
- Montreal Neurological Institute, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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Stites SD, Lee BN, Rubright JD, Harkins K, Mechanic-Hamilton D. Cognitive Complaint Types Can Correlate With Cognitive Testing, Perceived Stress, and Symptom Distress in Older Adults With Normal Cognition and Dementia. Alzheimer Dis Assoc Disord 2024; 38:34-41. [PMID: 38133963 PMCID: PMC10922433 DOI: 10.1097/wad.0000000000000595] [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: 05/24/2023] [Accepted: 11/19/2023] [Indexed: 12/24/2023]
Abstract
OBJECTIVE We examined how cognitive complaint types (CCTs) correlate with cognitive testing, perceived stress, and symptom distress in older adults with normal cognition and dementia. METHODS Older adults (n = 259) with normal cognition, mild cognitive impairment, or mild-stage Alzheimer disease completed cognitive testing and self-report measures (Cognitive Difficulties Scale, Global Distress Index, Perceived Stress Scale). Cross-sectional analyses examined: (1) CCT composition by classification method,( 2) CCTs by diagnostic group, (3) correlations of CCTs with cognitive testing scores, and (4) correlations of CCTs with perceived stress and symptom distress. RESULTS CCTs derived from 2 classification approaches loaded onto 4 factors: memory, attention-concentration (AC), temporal orientation, and praxis. Memory contained complaints about both memory and executive functioning. AC contained both classifications of AC complaints. Complaints about AC (AC1 and AC2) differed by diagnostic group (all P < 0.05). One of 2 classifications of AC (AC1) complaints discerned between impaired and unimpaired long-delay memory scores (both P < 0.05). In multivariable analyses, that same classification of AC (AC1) complaints correlated with higher perceived stress (both P < 0.001) but not symptom distress (both P > 0.05). CONCLUSION CCTs showed a factor structure that was mostly robust between classification methods; however, some content-divergent CCTs shared factors, suggesting construct overlap. Relatively slight variations in content altered how CCTs correlated with diagnostic groups, perceived stress, and symptom distress. Most CCTs did not discern between impaired and unimpaired cognitive test scores. Research is needed to better understand CCTs as clinical markers and targets of clinical interventions.
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Affiliation(s)
- Shana D Stites
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
| | - Brian N Lee
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
| | | | - Kristin Harkins
- Department of Medicine, Penn Memory Center, University of Pennsylvania, Philadelphia, PA
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D'elia Y, Whitfield T, Schlosser M, Lutz A, Barnhofer T, Chételat G, Marchant NL, Gonneaud J, Klimecki O. Impact of mindfulness-based and health self-management interventions on mindfulness, self-compassion, and physical activity in older adults with subjective cognitive decline: A secondary analysis of the SCD-Well randomized controlled trial. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12558. [PMID: 38440222 PMCID: PMC10910278 DOI: 10.1002/dad2.12558] [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: 03/20/2023] [Revised: 11/01/2023] [Accepted: 01/24/2024] [Indexed: 03/06/2024]
Abstract
INTRODUCTION Older adults experiencing subjective cognitive decline (SCD) have a higher risk of dementia. Reducing this risk through behavioral interventions, which can increase emotional well-being (mindfulness and compassion) and physical activity, is crucial in SCD. METHODS SCD-Well is a multicenter, observer-blind, randomized, controlled, superiority trial. Three hundred forty-seven participants (mean [standard deviation] age: 72.7 [6.9] years; 64.6% women) were recruited from memory clinics in four European sites to assess the impact of an 8-week caring mindfulness-based approach for seniors (CMBAS) and a health self-management program (HSMP) on mindfulness, self-compassion, and physical activity. RESULTS CMBAS showed a significant within-group increase in self-compassion from baseline to post-intervention and both a within- and between-group increase to follow-up visit (24 weeks). HSMP showed a significant within- and between-group increase in physical activity from baseline to post-intervention and to follow-up visit. DISCUSSION Non-pharmacological interventions can differentially promote modifiable factors linked to healthy aging in older adults with SCD.
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Affiliation(s)
- Ylenia D'elia
- Department of Clinical Psychology and Behavioral NeuroscienceUniversity of Technology DresdenDresdenGermany
| | - Tim Whitfield
- Division of Psychiatry Faculty of Brain SciencesUniversity College LondonLondonUK
| | - Marco Schlosser
- Division of Psychiatry Faculty of Brain SciencesUniversity College LondonLondonUK
- Department of PsychologyFaculty of Psychology and Educational SciencesUniversity of GenevaGenevaSwitzerland
| | - Antoine Lutz
- Lyon Neuroscience Research Center, Inserm U1028, CNRS UMR5292, Lyon 1 UniversityLyonFrance
| | | | - Gaël Chételat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” NeuroPresage Team, CyceronCaenFrance
| | - Natalie L. Marchant
- Division of Psychiatry Faculty of Brain SciencesUniversity College LondonLondonUK
| | - Julie Gonneaud
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” NeuroPresage Team, CyceronCaenFrance
| | - Olga Klimecki
- Department of PsychologyFaculty of Psychology and Educational SciencesUniversity of GenevaGenevaSwitzerland
- Department of Developmental PsychologyUniversity of JenaJenaGermany
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Nester CO, Gao Q, Katz MJ, Mogle JA, Wang C, Derby CA, Lipton RB, Saykin AJ, Rabin LA. Does the Cognitive Change Index Predict Future Cognitive and Clinical Decline? Longitudinal Analysis in a Demographically Diverse Cohort. J Alzheimers Dis 2024; 98:319-332. [PMID: 38393900 DOI: 10.3233/jad-230752] [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: 02/25/2024]
Abstract
Background The Cognitive Change Index (CCI) is a widely-used measure of self-perceived cognitive ability and change. Unfortunately, it is unclear if the CCI predicts future cognitive and clinical decline. Objective We evaluated baseline CCI to predict transition from normal cognition to cognitive impairment in nondemented older adults and in predementia groups including, subjective cognitive decline, motoric cognitive risk syndrome, and mild cognitive impairment. Different versions of the CCI were assessed to uncover any differential risk sensitivity. We also examined the effect of ethnicity/race on CCI. Methods Einstein Aging Study participants (N = 322, Mage = 77.57±4.96, % female=67.1, Meducation = 15.06±3.54, % non-Hispanic white = 46.3) completed an expanded 40-item CCI version (CCI-40) and neuropsychological evaluation (including Clinical Dementia Rating Scale [CDR], Montreal Cognitive Assessment, and Craft Story) at baseline and annual follow-up (Mfollow - up=3.4 years). CCI-40 includes the original 20 items (CCI-20) and the first 12 memory items (CCI-12). Linear mixed effects models (LME) and generalized LME assessed the association of CCI total scores at baseline with rate of decline in neuropsychological tests and CDR. Results In the overall sample and across predementia groups, the CCI was associated with rate of change in log odds on CDR, with higher CCI at baseline predicting faster increase in the odds of being impaired on CDR. The predictive validity of the CCI broadly held across versions (CCI-12, 20, 40) and ethnic/racial groups (non-Hispanic black and white). Conclusions Self-perception of cognitive change on the CCI is a useful marker of dementia risk in demographically/clinically diverse nondemented samples. All CCI versions successfully predicted decline.
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Affiliation(s)
- Caroline O Nester
- Department of Psychology, The Graduate Center, City University of New York, New York, NY, USA
- Department of Psychology, Queens College, City University of New York, Queens, NY, USA
| | - Qi Gao
- Department of Epidemiology and Public Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mindy J Katz
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jacqueline A Mogle
- College of Behavioral, Social and Health Sciences, Clemson University, Clemson, SC, USA
| | - Cuiling Wang
- Department of Epidemiology and Public Health, Albert Einstein College of Medicine, Bronx, NY, USA
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Carol A Derby
- Department of Epidemiology and Public Health, Albert Einstein College of Medicine, Bronx, NY, USA
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Richard B Lipton
- Department of Epidemiology and Public Health, Albert Einstein College of Medicine, Bronx, NY, USA
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana Alzheimer's Disease Research Center, IU Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Laura A Rabin
- Department of Psychology, The Graduate Center, City University of New York, New York, NY, USA
- Department of Psychology, Brooklyn College, City University of New York, Brooklyn, NY, USA
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Gao PY, Ou YN, Huang YM, Wang ZB, Fu Y, Ma YH, Li QY, Ma LY, Cui RP, Mi YC, Tan L, Yu JT. Associations between liver function and cerebrospinal fluid biomarkers of Alzheimer's disease pathology in non-demented adults: The CABLE study. J Neurochem 2024; 168:39-51. [PMID: 38055867 DOI: 10.1111/jnc.16025] [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: 06/21/2023] [Revised: 11/16/2023] [Accepted: 11/21/2023] [Indexed: 12/08/2023]
Abstract
Liver function has been suggested as a possible factor in the progression of Alzheimer's disease (AD) development. However, the association between liver function and cerebrospinal fluid (CSF) levels of AD biomarkers remains unclear. In this study, we analyzed the data from 1687 adults without dementia from the Chinese Alzheimer's Biomarker and LifestylE study to investigate differences in liver function between pathological and clinical AD groups, as defined by the 2018 National Institute on Aging-Alzheimer's Association Research Framework. We also examined the linear relationship between liver function, CSF AD biomarkers, and cognition using linear regression models. Furthermore, mediation analyses were applied to explore the potential mediation effects of AD pathological biomarkers on cognition. Our findings indicated that, with AD pathological and clinical progression, the concentrations of total protein (TP), globulin (GLO), and aspartate aminotransferase/alanine transaminase (ALT) increased, while albumin/globulin (A/G), adenosine deaminase, alpha-L-fucosidase, albumin, prealbumin, ALT, and glutamate dehydrogenase (GLDH) concentrations decreased. Furthermore, we also identified significant relationships between TP (β = -0.115, pFDR < 0.001), GLO (β = -0.184, pFDR < 0.001), and A/G (β = 0.182, pFDR < 0.001) and CSF β-amyloid1-42 (Aβ1-42 ) (and its related CSF AD biomarkers). Moreover, after 10 000 bootstrapped iterations, we identified a potential mechanism by which TP and GLDH may affect cognition by mediating CSF AD biomarkers, with mediation effect sizes ranging from 3.91% to 16.44%. Overall, our results suggested that abnormal liver function might be involved in the clinical and pathological progression of AD. Amyloid and tau pathologies also might partially mediate the relationship between liver function and cognition. Future research is needed to fully understand the underlying mechanisms and causality to develop an approach to AD prevention and treatment approach.
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Affiliation(s)
- Pei-Yang Gao
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Yi-Ming Huang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Zhi-Bo Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China
| | - Yan Fu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Hui Ma
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
| | - Qiong-Yao Li
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Li-Yun Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Rui-Ping Cui
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Yin-Chu Mi
- Department of Neurology, Qingdao Municipal Hospital, Dalian Medical University, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
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Nakhla MZ, Bangen KJ, Schiehser DM, Roesch S, Zlatar ZZ. Greater subjective cognitive decline severity is associated with worse memory performance and lower entorhinal cerebral blood flow in healthy older adults. J Int Neuropsychol Soc 2024; 30:1-10. [PMID: 36781410 PMCID: PMC10423746 DOI: 10.1017/s1355617723000115] [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: 02/15/2023]
Abstract
OBJECTIVE Subjective cognitive decline (SCD) is a potential early risk marker for Alzheimer's disease (AD), but its utility may vary across individuals. We investigated the relationship of SCD severity with memory function and cerebral blood flow (CBF) in areas of the middle temporal lobe (MTL) in a cognitively normal and overall healthy sample of older adults. Exploratory analyses examined if the association of SCD severity with memory and MTL CBF was different in those with lower and higher cardiovascular disease (CVD) risk status. METHODS Fifty-two community-dwelling older adults underwent magnetic resonance imaging, neuropsychological testing, and were administered the Everyday Cognition Scale (ECog) to measure SCD. Regression models investigated whether ECog scores were associated with memory performance and MTL CBF, followed by similar exploratory regressions stratified by CVD risk status (i.e., lower vs higher stroke risk). RESULTS Higher ECog scores were associated with lower objective memory performance and lower entorhinal cortex CBF after adjusting for demographics and mood. In exploratory stratified analyses, these associations remained significant in the higher stroke risk group only. CONCLUSIONS Our preliminary findings suggest that SCD severity is associated with cognition and brain markers of preclinical AD in otherwise healthy older adults with overall low CVD burden and that this relationship may be stronger for individuals with higher stroke risk, although larger studies with more diverse samples are needed to confirm these findings. Our results shed light on individual characteristics that may increase the utility of SCD as an early risk marker of cognitive decline.
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Affiliation(s)
- Marina Z. Nakhla
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, 6363 Alvarado Ct, San Diego, CA
- Department of Psychiatry; University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093
- Research Service, VA San Diego Healthcare System, La Jolla, California, 3350 La Jolla Village Dr., San Diego, CA 92161
| | - Katherine J. Bangen
- Department of Psychiatry; University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093
- Research Service, VA San Diego Healthcare System, La Jolla, California, 3350 La Jolla Village Dr., San Diego, CA 92161
| | - Dawn M. Schiehser
- Department of Psychiatry; University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093
- Research Service, VA San Diego Healthcare System, La Jolla, California, 3350 La Jolla Village Dr., San Diego, CA 92161
| | - Scott Roesch
- Department of Psychology, San Diego State University, 5500 Campanile Dr., San Diego, 92182
| | - Zvinka Z. Zlatar
- Department of Psychiatry; University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093
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Schlosser M, Demnitz-King H, Barnhofer T, Collette F, Gonneaud J, Chételat G, Jessen F, Kliegel M, Klimecki OM, Lutz A, Marchant NL. Effects of a mindfulness-based intervention and a health self-management programme on psychological well-being in older adults with subjective cognitive decline: Secondary analyses from the SCD-Well randomised clinical trial. PLoS One 2023; 18:e0295175. [PMID: 38100477 PMCID: PMC10723715 DOI: 10.1371/journal.pone.0295175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 11/07/2023] [Indexed: 12/17/2023] Open
Abstract
OBJECTIVES Older adults with subjective cognitive decline (SCD) recruited from memory clinics have an increased risk of developing dementia and regularly experience reduced psychological well-being related to memory concerns and fear of dementia. Research on improving well-being in SCD is limited and lacks non-pharmacological approaches. We investigated whether mindfulness-based and health education interventions can enhance well-being in SCD. METHODS The SCD-Well trial (ClinicalTrials.gov: NCT03005652) randomised 147 older adults with SCD to an 8-week caring mindfulness-based approach for seniors (CMBAS) or an active comparator (health self-management programme [HSMP]). Well-being was assessed at baseline, post-intervention, and 6-month post-randomisation using the Psychological Well-being Scale (PWBS), the World Health Organisation's Quality of Life (QoL) Assessment psychological subscale, and composites capturing meditation-based well-being dimensions of awareness, connection, and insight. Mixed effects models were used to assess between- and within-group differences in change. RESULTS CMBAS was superior to HSMP on changes in connection at post-intervention. Within both groups, PWBS total scores, psychological QoL, and composite scores did not increase. Exploratory analyses indicated increases in PWBS autonomy at post-intervention in both groups. CONCLUSION Two non-pharmacological interventions were associated with only limited effects on psychological well-being in SCD. Longer intervention studies with waitlist/retest control groups are needed to assess if our findings reflect intervention brevity and/or minimal base rate changes in well-being.
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Affiliation(s)
- Marco Schlosser
- Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, United Kingdom
| | - Harriet Demnitz-King
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, United Kingdom
| | | | - Fabienne Collette
- GIGA-CRC In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Julie Gonneaud
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Gaël Chételat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Frank Jessen
- Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Matthias Kliegel
- Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Olga M. Klimecki
- Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Antoine Lutz
- Eduwell team, Lyon Neuroscience Research Center Inserm U1028, CNRS UMR5292, Lyon 1 University, Lyon, France
| | - Natalie L. Marchant
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, United Kingdom
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Teghil A, Boccia M, Di Vita A, Zazzaro G, Sepe Monti M, Trebbastoni A, Talarico G, Campanelli A, Bruno G, Guariglia C, de Lena C, D'Antonio F. Multidimensional assessment of time perception along the continuum of Alzheimer's Disease and evidence of alterations in subjective cognitive decline. Sci Rep 2023; 13:22117. [PMID: 38092802 PMCID: PMC10719320 DOI: 10.1038/s41598-023-49222-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 12/05/2023] [Indexed: 12/17/2023] Open
Abstract
Timing alterations occur in Alzheimer's disease (AD), even in early stages (mild cognitive impairment, MCI). Moreover, a stage named subjective cognitive decline (SCD), in which individuals perceive a change in cognitive performance not revealed by neuropsychological tests, has been identified as a preclinical phase of AD. However, no study to date has investigated different dimensions of time processing along the continuum from physiological to pathological aging, and whether timing alterations occur in SCD. Here a sample of participants with SCD, MCI, AD and healthy controls (HC) performed tasks assessing prospective duration estimation, production, reproduction, implicit temporal learning in conditions dependent from external cues (externally-cued learning, ECL) or independent from external cues (internally-based learning, IBL), retrospective duration estimation, the subjective experience of time and the temporal collocation of events. AD patients performed worse than HC and SCD in prospective timing, and in collocating events in time. The subjective experience of time did not differ between groups. Concerning temporal learning, AD performed worse in ECL than in IBL, whereas SCD performed worse in IBL than in ECL. SCD, MCI and AD patients all showed errors greater than HC in retrospective duration estimation. Results point to implicit temporal learning in externally-cued conditions and retrospective time estimation as possible early markers of cognitive decline.
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Affiliation(s)
- Alice Teghil
- Department of Psychology, Sapienza" University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy.
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy.
| | - Maddalena Boccia
- Department of Psychology, Sapienza" University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Antonella Di Vita
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Giulia Zazzaro
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Micaela Sepe Monti
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | | | | | | | - Giuseppe Bruno
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Cecilia Guariglia
- Department of Psychology, Sapienza" University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Carlo de Lena
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Fabrizia D'Antonio
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
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Cheng CH, Hung CC, Chao YP, Nouchi R, Wang PN. Subjective cognitive decline exhibits alterations of resting-state phase-amplitude coupling in precuneus. Clin Neurophysiol 2023; 156:281-289. [PMID: 37722986 DOI: 10.1016/j.clinph.2023.08.015] [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: 01/13/2023] [Revised: 07/26/2023] [Accepted: 08/16/2023] [Indexed: 09/20/2023]
Abstract
OBJECTIVE Subjective cognitive decline (SCD) is associated with increased risks for progressing to Alzheimer's disease (AD). This study aimed to investigate phase-amplitude coupling (PAC) in individuals with SCD and healthy controls (HCs) in the baseline year and determined the predictability of cognitive changes in the clinical follow-up. METHODS Resting-state magnetoencephalographic signals in 29 HCs and 23 SCD subjects were recorded in the baseline year. The parahippocampal gyrus, posterior cingulate cortex and precuneus were selected as regions of interest (ROIs). Based on the grand-averaged comodulograms, delta-beta, delta-gamma and theta-gamma PAC values were extracted from each ROI. RESULTS Compared with the HCs, the SCD group showed decreased theta-gamma PAC in the precuneus. Theta-gamma PAC of the left precuneus was associated with SCD severity and performance of immediate recall in the baseline year. The SCD group was followed for 3 years and divided into SCD-Stable and SCD-Decline groups based on scores of Mini-Mental State Examination. No significant differences in PAC of the baseline year were found between SCD-Stable and SCD-Decline groups. CONCLUSIONS The SCD group demonstrated reduced theta-gamma PAC in the precuneus. SIGNIFICANCE Subjective perception of cognitive decline is reflected by objective alterations of brain function.
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Affiliation(s)
- Chia-Hsiung Cheng
- Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan, Taiwan; Laboratory of Brain Imaging and Neural Dynamics (BIND Lab), Chang Gung University, Taoyuan, Taiwan; Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan; Department of Psychiatry, Chang Gung Memorial Hospital, Linkou, Taiwan.
| | - Chun-Che Hung
- Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan, Taiwan; Laboratory of Brain Imaging and Neural Dynamics (BIND Lab), Chang Gung University, Taoyuan, Taiwan
| | - Yi-Ping Chao
- Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan; Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Rui Nouchi
- Department of Cognitive Health Science, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Sendai, Japan
| | - Pei-Ning Wang
- Division of General Neurology, Department of Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Neurology, National Yang Ming Chiao Tung University, Taipei, Taiwan.
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Chan FHF, Goh ZZS, Zhu X, Tudor Car L, Newman S, Khan BA, Griva K. Subjective cognitive complaints in end-stage renal disease: a systematic review and meta-analysis. Health Psychol Rev 2023; 17:614-640. [PMID: 36200562 DOI: 10.1080/17437199.2022.2132980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 09/30/2022] [Indexed: 11/04/2022]
Abstract
Cognitive impairment is common in patients with end-stage renal disease (ESRD) and is associated with compromised quality of life and functional capacity, as well as worse clinical outcomes. Most previous research and reviews in this area were focused on objective cognitive impairment, whereas patients' subjective cognitive complaints (SCCs) have been less well-understood. This systematic review aimed to provide a broad overview of what is known about SCCs in adult ESRD patients. Electronic databases were searched from inception to January 2022, which identified 221 relevant studies. SCCs appear to be highly prevalent in dialysis patients and less so in those who received kidney transplantation. A random-effects meta-analysis also shows that haemodialysis patients reported significantly more SCCs than peritoneal dialysis patients (standardised mean difference -0.20, 95% confidence interval -0.38 to -0.03). Synthesis of longitudinal studies suggests that SCCs remain stable on maintenance dialysis treatment but may reduce upon receipt of kidney transplant. Furthermore, SCCs in ESRD patients have been consistently associated with hospitalisation, depression, anxiety, fatigue, and poorer quality of life. There is limited data supporting a strong relation between objective and subjective cognition but preliminary evidence suggests that this association may be domain-specific. Methodological limitations and future research directions are discussed.
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Affiliation(s)
- Frederick H F Chan
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Zack Z S Goh
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Xiaoli Zhu
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Nursing Services, National Healthcare Group Polyclinics, Singapore
| | - Lorainne Tudor Car
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Department of Primary Care and Public Health, Imperial College London School of Public Health, London, UK
| | - Stanton Newman
- School of Health Sciences, Division of Health Services Research and Management, City University of London, London, UK
| | - Behram A Khan
- National Kidney Foundation, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Konstadina Griva
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
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Fu Z, Zhao M, Li Y, He Y, Wang X, Zhou Z, Han Y, Li S. Heterogeneity in subjective cognitive decline in the Sino Longitudinal Study on Cognitive Decline(SILCODE): Empirically derived subtypes, structural and functional verification. CNS Neurosci Ther 2023; 29:4032-4042. [PMID: 37475187 PMCID: PMC10651943 DOI: 10.1111/cns.14327] [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: 01/15/2023] [Revised: 03/01/2023] [Accepted: 06/17/2023] [Indexed: 07/22/2023] Open
Abstract
AIMS We evaluated whether Subjective Cognitive Decline (SCD) subtypes could be empirically derived within the Sino Longitudinal Study on Cognitive Decline (SILCODE) SCD cohort and examined associated neuroimaging markers, biomarkers, and clinical outcomes. METHODS A cluster analysis was performed on eight neuropsychological test scores from 124 SCD SILCODE participants and 57 normal control (NC) subjects. Structural and functional neuroimaging indices were used to evaluate the SCD subgroups. RESULTS Four subtypes emerged: (1) dysexecutive/mixed SCD (n = 23), (2) neuropsychiatric SCD (n = 24), (3) amnestic SCD (n = 22), and (4) cluster-derived normal (n = 55) who exhibited normal performance in neuropsychological tests. Compared with the NC group, each subgroup showed distinct patterns in gray matter (GM) volume and the amplitude of low-frequency fluctuations (ALFF). Lower fractional anisotropy (FA) values were only found in the neuropsychiatric SCD group relative to NC. CONCLUSION The identification of empirically derived SCD subtypes demonstrates the presence of heterogeneity in SCD neuropsychological profiles. The cluster-derived normal group may represent the majority of SCD individuals who do not show progressive cognitive decline; the dysexecutive/mixed SCD and amnestic SCD might represent high-risk groups with progressing cognitive decline; and finally, the neuropsychiatric SCD may represent a new topic in SCD research.
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Affiliation(s)
- Zhenrong Fu
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU)Ministry of EducationWuhanChina
- School of Psychology, Key Laboratory of Human Development and Mental Health of Hubei ProvinceCentral China Normal UniversityWuhanChina
| | - Mingyan Zhao
- Department of PsychologyTangshan Gongren HospitalTangshanChina
| | - Yuxia Li
- Department of NeurologyTangshan Central HospitalTangshanChina
- Department of NeurologyXuanwu Hospital of Capital Medical UniversityBeijingChina
| | - Yirong He
- State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityBeijingChina
| | - Xuetong Wang
- State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityBeijingChina
| | - Zongkui Zhou
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU)Ministry of EducationWuhanChina
- School of Psychology, Key Laboratory of Human Development and Mental Health of Hubei ProvinceCentral China Normal UniversityWuhanChina
| | - Ying Han
- Department of NeurologyXuanwu Hospital of Capital Medical UniversityBeijingChina
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical EngineeringHainan UniversityHaikouChina
- Center of Alzheimer's DiseaseBeijing Institute for Brain DisordersBeijingChina
- National Clinical Research Center for Geriatric DisordersBeijingChina
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
| | - Shuyu Li
- State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityBeijingChina
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Nemali A, Vockert N, Berron D, Maas A, Bernal J, Yakupov R, Peters O, Gref D, Cosma N, Preis L, Priller J, Spruth E, Altenstein S, Lohse A, Fliessbach K, Kimmich O, Vogt I, Wiltfang J, Hansen N, Bartels C, Schott BH, Maier F, Meiberth D, Glanz W, Incesoy E, Butryn M, Buerger K, Janowitz D, Pernecky R, Rauchmann B, Burow L, Teipel S, Kilimann I, Göerß D, Dyrba M, Laske C, Munk M, Sanzenbacher C, Müller S, Spottke A, Roy N, Heneka M, Brosseron F, Roeske S, Dobisch L, Ramirez A, Ewers M, Dechent P, Scheffler K, Kleineidam L, Wolfsgruber S, Wagner M, Jessen F, Duzel E, Ziegler G. Gaussian Process-based prediction of memory performance and biomarker status in ageing and Alzheimer's disease-A systematic model evaluation. Med Image Anal 2023; 90:102913. [PMID: 37660483 DOI: 10.1016/j.media.2023.102913] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/28/2023] [Accepted: 07/25/2023] [Indexed: 09/05/2023]
Abstract
Neuroimaging markers based on Magnetic Resonance Imaging (MRI) combined with various other measures (such as genetic covariates, biomarkers, vascular risk factors, neuropsychological tests etc.) might provide useful predictions of clinical outcomes during the progression towards Alzheimer's disease (AD). The use of multiple features in predictive frameworks for clinical outcomes has become increasingly prevalent in AD research. However, many studies do not focus on systematically and accurately evaluating combinations of multiple input features. Hence, the aim of the present work is to explore and assess optimal combinations of various features for MR-based prediction of (1) cognitive status and (2) biomarker positivity with a multi-kernel learning Gaussian process framework. The explored features and parameters included (A) combinations of brain tissues, modulation, smoothing, and image resolution; (B) incorporating demographics & clinical covariates; (C) the impact of the size of the training data set; (D) the influence of dimensionality reduction and the choice of kernel types. The approach was tested in a large German cohort including 959 subjects from the multicentric longitudinal study of cognitive impairment and dementia (DELCODE). Our evaluation suggests the best prediction of memory performance was obtained for a combination of neuroimaging markers, demographics, genetic information (ApoE4) and CSF biomarkers explaining 57% of outcome variance in out-of-sample predictions. The highest performance for Aβ42/40 status classification was achieved for a combination of demographics, ApoE4, and a memory score while usage of structural MRI further improved the classification of individual patient's pTau status.
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Affiliation(s)
- A Nemali
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
| | - N Vockert
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - D Berron
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - A Maas
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - J Bernal
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - R Yakupov
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - O Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany; Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Psychiatry, Hindenburgdamm 30, 12203, Berlin, Germany
| | - D Gref
- Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Psychiatry, Hindenburgdamm 30, 12203, Berlin, Germany
| | - N Cosma
- Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Psychiatry, Hindenburgdamm 30, 12203, Berlin, Germany
| | - L Preis
- Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Department of Psychiatry, Hindenburgdamm 30, 12203, Berlin, Germany
| | - J Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany; School of Medicine, Technical University of Munich; Department of Psychiatry and Psychotherapy, Munich, Germany; University of Edinburgh and UK DRI, Edinburgh, UK
| | - E Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - S Altenstein
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - A Lohse
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - K Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Venusberg-Campus 1, 53127 Bonn, Germany
| | - O Kimmich
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - I Vogt
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - J Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany; Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Von-Siebold-Str. 5, 37075 Goettingen, Germany; Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - N Hansen
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Von-Siebold-Str. 5, 37075 Goettingen, Germany
| | - C Bartels
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Von-Siebold-Str. 5, 37075 Goettingen, Germany
| | - B H Schott
- Leibniz Institute for Neurobiology, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany; Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Von-Siebold-Str. 5, 37075 Goettingen, Germany
| | - F Maier
- Department of Psychiatry, University of Cologne, Medical Faculty, Kerpener Strasse 62, 50924 Cologne, Germany
| | - D Meiberth
- Department of Psychiatry, University of Cologne, Medical Faculty, Kerpener Strasse 62, 50924 Cologne, Germany
| | - W Glanz
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Germany
| | - E Incesoy
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - M Butryn
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - K Buerger
- German Center for Neurodegenerative Diseases (DZNE, Munich), Feodor-Lynen-Strasse 17, 81377 Munich, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - D Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - R Pernecky
- German Center for Neurodegenerative Diseases (DZNE, Munich), Feodor-Lynen-Strasse 17, 81377 Munich, Germany; Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany; Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK
| | - B Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - L Burow
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - S Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany; Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany
| | - I Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany; Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany
| | - D Göerß
- Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany
| | - M Dyrba
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - C Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany; Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - M Munk
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany; Department of Psychiatry and Psychotherapy, University of Tuebingen, Tuebingen, Germany
| | - C Sanzenbacher
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - S Müller
- Department of Psychiatry and Psychotherapy, University of Tuebingen, Tuebingen, Germany
| | - A Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Department of Neurology, University of Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - N Roy
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - M Heneka
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Department of Psychiatry and Psychotherapy, University of Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - F Brosseron
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - S Roeske
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - L Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - A Ramirez
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Department of Neurology, University of Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Joseph-Stelzmann-Strasse 26, 50931 Köln, Germany; Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany; Department of Psychiatry & Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
| | - M Ewers
- German Center for Neurodegenerative Diseases (DZNE, Munich), Feodor-Lynen-Strasse 17, 81377 Munich, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - P Dechent
- MR-Research in Neurosciences, Department of Cognitive Neurology, Georg-August-University Goettingen, Germany
| | - K Scheffler
- Department for Biomedical Magnetic Resonance, University of Tübingen, 72076 Tübingen, Germany
| | - L Kleineidam
- University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Venusberg-Campus 1, 53127 Bonn, Germany
| | - S Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Venusberg-Campus 1, 53127 Bonn, Germany
| | - M Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Venusberg-Campus 1, 53127 Bonn, Germany
| | - F Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Department of Psychiatry, University of Cologne, Medical Faculty, Kerpener Strasse 62, 50924 Cologne, Germany; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Joseph-Stelzmann-Strasse 26, 50931 Köln, Germany
| | - E Duzel
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - G Ziegler
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
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Xue C, Li J, Hao M, Chen L, Chen Z, Tang Z, Tang H, Fang Q. High prevalence of subjective cognitive decline in older Chinese adults: a systematic review and meta-analysis. Front Public Health 2023; 11:1277995. [PMID: 38106895 PMCID: PMC10722401 DOI: 10.3389/fpubh.2023.1277995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 11/13/2023] [Indexed: 12/19/2023] Open
Abstract
Background Subjective cognitive decline (SCD) is considered a preclinical stage of Alzheimer's disease. However, reliable prevalence estimates of SCD in the Chinese population are lacking, underscoring the importance of such metrics for policymakers to formulate appropriate healthcare strategies. Objective To systematically evaluate SCD prevalence among older Chinese adults. Methods PubMed, Web of Science, The Cochrane Library, Embase, CNKI, Wanfang, VIP, CBM, and Airiti Library databases were searched for studies on SCD in older Chinese individuals published before May 2023. Two investigators independently screened the literature, extracted the information, and assessed the bias risk of the included studies. A meta-analysis was then conducted using Stata 16.0 software via a random-effects model to analyze SCD prevalence in older Chinese adults. Results A total of 17 studies were included (n = 31,782). The SCD prevalence in older Chinese adults was 46.4% (95% CI, 40.6-52.2%). Further, subgroup analyzes indicated that SCD prevalence was 50.8% in men and 58.9% among women. Additionally, SCD prevalence in individuals aged 60-69, 70-79, and ≥ 80 years was 38.0, 45.2, and 60.3%, respectively. Furthermore, SCD prevalence in older adults with BMI <18.5, 18.5-24.0, and > 24.0 was 59.3, 54.0, and 52.9%, respectively. Geographically, SCD prevalence among older Chinese individuals was 41.3% in North China and 50.0% in South China. In terms of residence, SCD prevalence was 47.1% in urban residents and 50.0% among rural residents. As for retired individuals, SCD prevalence was 44.2% in non-manual workers and 49.2% among manual workers. In the case of education, individuals with an education level of "elementary school and below" had an SCD prevalence rate of 62.8%; "middle school, "52.4%; "high school, "55.0%; and "college and above, "51.3%. Finally, SCD prevalence was lower among married individuals with surviving spouses than in single adults who were divorced, widowed, or unmarried. Conclusion Our systematic review and meta-analysis identified significant and widespread SCD prevalence in the older population in China. Therefore, our review findings highlight the urgent requirement for medical institutions and policymakers across all levels to prioritize and rapidly develop and implement comprehensive preventive and therapeutic strategies for SCD.Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023406950, identifier: CRD42023406950.
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Affiliation(s)
- Chao Xue
- School of Nursing, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China
- Department of Nursing, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - Juan Li
- Department of Nursing, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - Mingqing Hao
- Department of Nursing, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - Lihua Chen
- Department of Nursing, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - Zuoxiu Chen
- Department of Nursing, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - Zeli Tang
- School of Nursing, Zunyi Medical University, Zunyi, Guizhou, China
| | - Huan Tang
- School of Nursing, Zunyi Medical University, Zunyi, Guizhou, China
| | - Qian Fang
- Department of Nursing, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
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Chang KH, Wang C, Nester CO, Katz MJ, Byrd DA, Lipton RB, Rabin LA. Examining the role of participant and study partner report in widely-used classification approaches of mild cognitive impairment in demographically-diverse community dwelling individuals: results from the Einstein aging study. Front Aging Neurosci 2023; 15:1221768. [PMID: 38076542 PMCID: PMC10702963 DOI: 10.3389/fnagi.2023.1221768] [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: 05/12/2023] [Accepted: 09/29/2023] [Indexed: 01/28/2024] Open
Abstract
Objective The role of subjective cognitive concerns (SCC) as a diagnostic criterion for MCI remains uncertain and limits the development of a universally (or widely)-accepted MCI definition. The optimal MCI definition should define an at-risk state and accurately predict the development of incident dementia. Questions remain about operationalization of definitions of self- and informant-reported SCCs and their individual and joint associations with incident dementia. Methods The present study included Einstein Aging Study participants who were non-Hispanic White or Black, free of dementia at enrollment, had follow-up, and completed neuropsychological tests and self-reported SCC at enrollment to determine MCI status. Informant-reported SCC at baseline were assessed via the CERAD clinical history questionnaire. Self-reported SCC were measured using the CERAD, items from the EAS Health Self-Assessment, and the single memory item from the Geriatric Depression Scale. Cox proportional hazards models examined the association of different operationalizations of SCC with Petersen and Jak/Bondi MCI definitions on the risk of dementia, further controlling for age, sex, education, and race/ethnicity. Time-dependent sensitivity and specificity at specific time points for each definition, and Youden's index were calculated as an accuracy measure. Cox proportional hazards models were also used to evaluate the associations of combinations of self- and informant-reported SCC with the risk of incident dementia. Results 91% of the sample endorsed at least one SCC. Youden's index showed that not including SCC in either Jak/Bondi or Petersen classifications had the best balance between sensitivity and specificity across follow-up. A subset of individuals with informants, on average, had a lower proportion of non-Hispanic Blacks and 94% endorsed at least one self-reported SCC. Both informant-reported and self-reported SCC were significantly associated with incident dementia. Conclusion Our findings suggest that the SCC criterion may not improve the predictive validity for dementia when included in widely-employed definitions of MCI. Consistent with some prior research, informant-reported SCC was more related to risk of incident dementia than self-reported SCC. Given that requiring informant report as a diagnostic criterion may unintentionally exclude health disparate groups, additional consideration is needed to determine how best to utilize informant-report in MCI diagnosis.
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Affiliation(s)
- Katherine H. Chang
- Department of Psychology, Queens College, City University of New York (CUNY), Queens, NY, United States
- Department of Psychology, The Graduate Center, City University of New York (CUNY), New York, NY, United States
| | - Cuiling Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Caroline O. Nester
- Department of Psychology, Queens College, City University of New York (CUNY), Queens, NY, United States
- Department of Psychology, The Graduate Center, City University of New York (CUNY), New York, NY, United States
| | - Mindy J. Katz
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Desiree A. Byrd
- Department of Psychology, Queens College, City University of New York (CUNY), Queens, NY, United States
- Department of Psychology, The Graduate Center, City University of New York (CUNY), New York, NY, United States
| | - Richard B. Lipton
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Psychiatry and Behavioral Medicine, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Laura A. Rabin
- Department of Psychology, Queens College, City University of New York (CUNY), Queens, NY, United States
- Department of Psychology, The Graduate Center, City University of New York (CUNY), New York, NY, United States
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Psychology, Brooklyn College, City University of New York (CUNY), Brooklyn, NY, United States
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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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Heikkinen AL, Hänninen T, Kuikka P, Akila R, Savolainen A, Valtonen T, Umer A, Lötjönen J, Hublin C, Remes AM, Paajanen T. The Cognitive Function at Work Questionnaire (CFWQ): A new scale for measuring cognitive complaints in occupational population. APPLIED NEUROPSYCHOLOGY. ADULT 2023; 30:649-660. [PMID: 34482772 DOI: 10.1080/23279095.2021.1970553] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Cognitive functioning is a relevant work and health related topic, however, validated methods to assess subjective cognitive complaints (SCC) at work are lacking. We introduce the Cognitive Function at Work Questionnaire (CFWQ) for measuring SCC in occupational settings. 1-year follow-up data of 418 employees from a Finnish public media service company was analyzed. Participants completed web-based CFWQ, cognitive tests and a broad set of questionnaires for evaluating depression, anxiety, insomnia, daytime sleepiness, burnout, stress, mental job burden, work ability, cognitive errors, and perceived health. The factor analysis yielded a model with the CFWQ subdomains: Memory, Language, Executive Function, Speed of Processing, Cognitive Control and Name Memory. The internal consistency (Cronbach's alpha = .87) and the test-retest constancy (ICC = .84) reflected good reliability. Correlation between the CFWQ and cognitive errors at work ranged from .25 to .64 indicating adequate concurrent validity. Employees with depression, insomnia and burnout symptoms had higher (p < .001) CFWQ scores than participants without these symptoms. Depression and burnout symptom severity as well as accumulation of mood, sleep, and psychosocial stressors were associated with higher CFWQ scores (p < .001 in all). The CFWQ appears psychometrically sound measure for the assessment of SCC in occupational population.
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Affiliation(s)
- Anna-Leena Heikkinen
- Research Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
- MRC, Oulu University Hospital, Oulu, Finland
| | - Tuomo Hänninen
- Neurology, Neurocenter, Kuopio University Hospital, Kuopio, Finland
| | - Pekka Kuikka
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Ritva Akila
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Aslak Savolainen
- Occupational Health Services, Finnish Broadcasting Company, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Teppo Valtonen
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Adil Umer
- VTT Technical Research Centre of Finland Ltd, Tampere, Finland
| | | | - Christer Hublin
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Anne M Remes
- Research Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
| | - Teemu Paajanen
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
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Hari E, Kurt E, Ulasoglu-Yildiz C, Bayram A, Bilgic B, Demiralp T, Gurvit H. Morphometric analysis of medial temporal lobe subregions in Alzheimer's disease using high-resolution MRI. Brain Struct Funct 2023; 228:1885-1899. [PMID: 37486408 DOI: 10.1007/s00429-023-02683-2] [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: 01/16/2023] [Accepted: 07/07/2023] [Indexed: 07/25/2023]
Abstract
The spread pattern of progressive degeneration seen in Alzheimer's disease (AD) to small-scale medial temporal lobe subregions is critical for early diagnosis. In this context, it was aimed to examine the morphometric changes of the hippocampal subfields, amygdala nuclei, entorhinal cortex (ERC), and parahippocampal cortex (PHC) using MRI. MRI data of patients diagnosed with 20 Alzheimer's disease dementia (ADD), 30 amnestic mild cognitive impairment (aMCI), and 30 subjective cognitive impairment (SCI) without demographic differences were used. Segmentation and parcellation were performed using FreeSurfer. The segmentation process obtained volume values of 12 hippocampal subfields and 9 amygdala nuclei. Thickness values of ERC and PHC were calculated with the parcellation process. ANCOVA was performed using age, education and gender as covariates to evaluate the intergroup differences. Linear discriminant analysis was used to investigate whether atrophy predicted groups at an early stage. ERC and PHC thickness decreased significantly throughout the disease continuum, while only ERC was affected in the early stage. When the hippocampal and amygdala subfields were compared volumetrically, significant differences were found in the amygdala between the SCI and aMCI groups. In the early period, only volume reduction in the anterior amygdaloid area of the amygdala nuclei exceeded the significance threshold. Research on AD primarily focuses on original hippocampocentric structures and their main function which is episodic memory. Our results emphasized the significance of so far relatively neglected olfactocentric structures and their functions, such as smell and social cognition in the pre-dementia stages of the AD process.
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Affiliation(s)
- Emre Hari
- Graduate School of Health Sciences, Istanbul University, Bozdogan Kemeri Caddesi No:8 Vezneciler Hamami Sokagi, Vezneciler, 34216, Fatih, Istanbul, Turkey.
- Hulusi Behcet Life Sciences Research Laboratory, Neuroimaging Unit, Istanbul University, 34093, Istanbul, Turkey.
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, 34093, Istanbul, Turkey.
| | - Elif Kurt
- Hulusi Behcet Life Sciences Research Laboratory, Neuroimaging Unit, Istanbul University, 34093, Istanbul, Turkey
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, 34093, Istanbul, Turkey
| | - Cigdem Ulasoglu-Yildiz
- Hulusi Behcet Life Sciences Research Laboratory, Neuroimaging Unit, Istanbul University, 34093, Istanbul, Turkey
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, 34093, Istanbul, Turkey
| | - Ali Bayram
- Hulusi Behcet Life Sciences Research Laboratory, Neuroimaging Unit, Istanbul University, 34093, Istanbul, Turkey
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, 34093, Istanbul, Turkey
| | - Başar Bilgic
- Department of Neurology, Behavioral Neurology and Movement Disorders Unit, Istanbul Faculty of Medicine, Istanbul University, 34093, Istanbul, Turkey
| | - Tamer Demiralp
- Hulusi Behcet Life Sciences Research Laboratory, Neuroimaging Unit, Istanbul University, 34093, Istanbul, Turkey
- Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, 34093, Istanbul, Turkey
| | - Hakan Gurvit
- Department of Neurology, Behavioral Neurology and Movement Disorders Unit, Istanbul Faculty of Medicine, Istanbul University, 34093, Istanbul, Turkey
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Jiang X, Hu X, Daamen M, Wang X, Fan C, Meiberth D, Spottke A, Roeske S, Fliessbach K, Spruth EJ, Altenstein S, Lohse A, Hansen N, Glanz W, Incesoy EI, Dobisch L, Janowitz D, Rauchmann BS, Ramirez A, Kilimann I, Munk MH, Wang X, Schneider LS, Gabelin T, Roy N, Wolfsgruber S, Kleineidam L, Hetzer S, Dechent P, Ewers M, Scheffler K, Amthauer H, Buchert R, Essler M, Drzezga A, Rominger A, Krause BJ, Reimold M, Priller J, Schneider A, Wiltfang J, Buerger K, Perneczky R, Teipel S, Laske C, Peters O, Düzel E, Wagner M, Jiang J, Jessen F, Boecker H, Han Y. Altered limbic functional connectivity in individuals with subjective cognitive decline: Converging and diverging findings across Chinese and German cohorts. Alzheimers Dement 2023; 19:4922-4934. [PMID: 37070734 DOI: 10.1002/alz.13068] [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: 09/19/2022] [Revised: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 04/19/2023]
Abstract
INTRODUCTION It remains unclear whether functional brain networks are consistently altered in individuals with subjective cognitive decline (SCD) of diverse ethnic and cultural backgrounds and whether the network alterations are associated with an amyloid burden. METHODS Cross-sectional resting-state functional magnetic resonance imaging connectivity (FC) and amyloid-positron emission tomography (PET) data from the Chinese Sino Longitudinal Study on Cognitive Decline and German DZNE Longitudinal Cognitive Impairment and Dementia cohorts were analyzed. RESULTS Limbic FC, particularly hippocampal connectivity with right insula, was consistently higher in SCD than in controls, and correlated with SCD-plus features. Smaller SCD subcohorts with PET showed inconsistent amyloid positivity rates and FC-amyloid associations across cohorts. DISCUSSION Our results suggest an early adaptation of the limbic network in SCD, which may reflect increased awareness of cognitive decline, irrespective of amyloid pathology. Different amyloid positivity rates may indicate a heterogeneous underlying etiology in Eastern and Western SCD cohorts when applying current research criteria. Future studies should identify culture-specific features to enrich preclinical Alzheimer's disease in non-Western populations. HIGHLIGHTS Common limbic hyperconnectivity across Chinese and German subjective cognitive decline (SCD) cohorts was observed. Limbic hyperconnectivity may reflect awareness of cognition, irrespective of amyloid load. Further cross-cultural harmonization of SCD regarding Alzheimer's disease pathology is required.
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Affiliation(s)
- Xueyan Jiang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
| | - Xiaochen Hu
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
| | - Marcel Daamen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Xiaoqi Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Chunqiu Fan
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Dix Meiberth
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, University of Bonn, Bonn, Germany
| | - Sandra Roeske
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Eike Jakob Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Andrea Lohse
- Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Niels Hansen
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
| | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Enise I Incesoy
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
- Department for Psychiatry and Psychotherapy, University Clinic Magdeburg, Magdeburg, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Alfredo Ramirez
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
- Department of Psychiatry & Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, Texas, USA
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Matthias H Munk
- German Center for Neurodegenerative Diseases (DZNE), Tuebingen, Germany
- Department of Psychiatry and Psychotherapy, University of Tuebingen, Tuebingen, Germany
| | - Xiao Wang
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Luisa-Sophie Schneider
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Tatjana Gabelin
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Luca Kleineidam
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Stefan Hetzer
- Berlin Center for Advanced Neuroimaging, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Peter Dechent
- MR-Research in Neurosciences, Department of Cognitive Neurology, Georg-August-University Goettingen, Goettingen, Germany
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tuebingen, Tuebingen, Germany
| | - Holger Amthauer
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Ralph Buchert
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Markus Essler
- Department of Nuclear Medicine, University Hospital Bonn, Bonn, Germany
| | - Alexander Drzezga
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
- Institute of Neuroscience and Medicine (INM-2), Molecular Organization of the Brain, Forschungszentrum Jülich, Germany
| | - Axel Rominger
- Department of Nuclear Medicine, Ludwig-Maximilian-University Munich, Munich, Germany
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Bernd J Krause
- Department of Nuclear Medicine, Rostock University Medical Centre, Rostock, Germany
| | - Matthias Reimold
- Department of Nuclear Medicine and Clinical Molecular Imaging, Eberhard-Karls-University, Tuebingen, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
- School of Medicine, Technical University of Munich, Department of Psychiatry and Psychotherapy, Munich, Germany
- University of Edinburgh and UK DRI, Edinburgh, UK
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Katharina Buerger
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Robert Perneczky
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany
- Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tuebingen, Germany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tuebingen, Tuebingen, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Jiehui Jiang
- Institute of Biomedical Engineering, Shanghai University, Shanghai, China
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Henning Boecker
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Clinical Functional Imaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
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Gonzalez-Ortiz F, Ferreira PCL, Gonzalez A, Montoliu-Gaya L, Ortiz-Romero P, Kac PR, Turton M, Kvartsberg H, Ashton NJ, Zetterberg H, Harrison P, Bellaver B, Povala G, Villemagne VL, Pascoal TA, Ganguli M, Cohen AD, Miguillon C, Contador J, Suarez-Calvet M, Karikari TK, Blennow K. A novel ultrasensitive assay for plasma p-tau217: performance in individuals with subjective cognitive decline and early Alzheimer's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.26.23296134. [PMID: 37873312 PMCID: PMC10593040 DOI: 10.1101/2023.09.26.23296134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
INTRODUCTION Detection of Alzheimer's disease (AD) pathophysiology among cognitively unimpaired individuals and those experiencing subjective cognitive decline (SCD) remains challenging. Plasma p-tau217 is one of the most promising of the emerging biomarkers for AD. However, accessible methods are limited. METHODS We employed a novel p-tau217 immunoassay (UGOT p-tau217) in four independent cohorts (n=308) including a cerebrospinal fluid (CSF) biomarker-classified cohort (Discovery), two cohorts consisting mostly of cognitively unimpaired participants (MYHAT and Pittsburgh), and a population-based cohort of individuals with SCD (β-AARC). RESULTS UGOT p-tau217 showed high accuracy (AUC= 0.80-0.91) identifying Aβ pathology, determined either by Aβ positron emission tomography or CSF Aβ42/40 ratio. In individuals experiencing SCD, UGOT p-tau217 showed high accuracy identifying those with a positive CSF Aβ42/40 ratio (AUC= 0.91). DISCUSSION UGOT p-tau217 can be an easily accessible and efficient way to screen and monitor patients with suspected AD pathophysiology, even in the early stages of the continuum.
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Li H, Tan CC, Tan L, Xu W. Predictors of cognitive deterioration in subjective cognitive decline: evidence from longitudinal studies and implications for SCD-plus criteria. J Neurol Neurosurg Psychiatry 2023; 94:844-854. [PMID: 36868847 DOI: 10.1136/jnnp-2022-330246] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 01/28/2023] [Indexed: 03/05/2023]
Abstract
BACKGROUND Subjective cognitive decline (SCD) is an early manifestation of cognitive deterioration (CD) in some individuals. Therefore, it is worthwhile to conduct a systematic review and meta-analysis to summarise predictors of CD among individuals with SCD. METHOD PubMed, Embase, and Cochrane Library were searched until May 2022. Longitudinal studies that assessed factors associated with CD in SCD population were included. Multivariable-adjusted effect estimates were pooled using random-effects models. The credibility of evidence was assessed. The study protocol was registered with PROSPERO. RESULTS A total of 69 longitudinal studies were identified for systematic review, of which 37 were included for the meta-analysis. The mean conversion rate of SCD to any CD was 19.8%, including all-cause dementia (7.3%) and Alzheimer's disease (4.9%). Sixteen factors (66.67%) were found as predictors, including 5 SCD features (older age at onset, stable SCD, both self- and informant-reported SCD, worry and SCD in the memory clinic), 4 biomarkers (cerebral amyloid β-protein deposition, lower scores of Hulstaert formula, higher total tau in the cerebrospinal fluid and hippocampus atrophy), 4 modifiable factors (lower education, depression, anxiety and current smoking), 2 unmodifiable factors (apolipoprotein E4 and older age) and worse performance on Trail Making Test B. The robustness of overall evidence was impaired by risk of bias and heterogeneity. CONCLUSION This study constructed a risk factor profile for SCD to CD conversion, supporting and supplementing the existing list of features for identifying SCD populations at high risk of objective cognitive decline or dementia. These findings could promote early identification and management of high-risk populations to delay dementia onset. PROSPERO REGISTRATION NUMBER CRD42021281757.
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Affiliation(s)
- Han Li
- Neurology department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
- Medical College, Qingdao University, Qingdao, China
| | - Chen-Chen Tan
- Neurology department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
| | - Lan Tan
- Neurology department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
| | - Wei Xu
- Neurology department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
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Brown MJ, Amoatika D, Addo PNO, Kaur A, Haider MR, Merrell MA, Crouch E. Childhood Sexual Trauma and Subjective Cognitive Decline: An Assessment of Racial/Ethnic and Sexual Orientation Disparities. J Appl Gerontol 2023; 42:2129-2138. [PMID: 37218145 PMCID: PMC10523896 DOI: 10.1177/07334648231175299] [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] [Indexed: 05/24/2023] Open
Abstract
Prior studies examining the association between childhood sexual abuse (CSA) and subjective cognitive decline (SCD) are limited. The aim of this study was to examine the racial/ethnic and sexual orientation disparities in the association between CSA and SCD. Using data from the 2019 Behavioral Risk Factor Surveillance System Survey, crude and multivariable logistic regression models were used to determine the association between CSA and SCD adjusting for sociodemographic characteristics, diabetes, hypertension, and depression. There were statistically significant differences in CSA status by age, gender, income, education, employment, and health status (depression). Black and Hispanic/Latine respondents had a stronger relationship between CSA and SCD compared to White populations. Also, sexual minority populations had a stronger relationship between CSA and SCD compared to heterosexual populations. Health disparities exist in the association between CSA and SCD. Trauma-informed interventions should be implemented among affected populations.
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Affiliation(s)
- Monique J. Brown
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
- South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
- Rural and Minority Health Research Center, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
- Office for the Study on Aging, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
| | - Daniel Amoatika
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
| | - Prince Nii Ossah Addo
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
| | - Amandeep Kaur
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
| | - Mohammad Rifat Haider
- Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, Georgia
| | - Melinda A. Merrell
- Rural and Minority Health Research Center, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
- Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
| | - Elizabeth Crouch
- Rural and Minority Health Research Center, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
- Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
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Forno G, Parra MA, Thumala D, Villagra R, Cerda M, Zitko P, Ibañez A, Lillo P, Slachevsky A. The "when" matters: Evidence from memory markers in the clinical continuum of Alzheimer's disease. Neuropsychology 2023; 37:753-768. [PMID: 37227845 PMCID: PMC10522796 DOI: 10.1037/neu0000891] [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] [Indexed: 05/27/2023] Open
Abstract
OBJECTIVE Cognitive assessment able to detect impairments in the early neuropathological stages of Alzheimer's disease (AD) is urgently needed. The visual short-term memory binding task (VSTMBT) and the Free and Cued Selective Reminding Test (FCSRT) have been recommended by the neurodegenerative disease working group as promising tests to aid in the early detection of AD. In this study, we investigated their complementary value across the clinical stages of the AD continuum. METHOD One hundred and seventeen older adults with subjective cognitive complaint (SCC), 79 with mild cognitive impairment (MCI), 31 patients with AD dementia (ADD), and 37 cognitively unimpaired (CU) subjects, underwent assessment with the VSTMBT and the picture version of the Spanish FCSRT. RESULTS After controlling for multiple comparisons, significant differences were found across groups. The VSTMBT was the only test that "marginally" differentiated between CU and SCC (d = 0.47, p = .052). Moreover, whereas the FCSRT showed a gradient (CU = SCC) > MCI > ADD, the VSTMBT gradient was CU > SCC > (MCI = ADD) suggesting that conjunctive binding deficits assessed by the latter may be sensitive to the very early stages of the disease. CONCLUSIONS Our results suggest that the VSTMBT and the FCSRT are sensitive to the clinical continuum of AD. Whereas the former detects changes in the early prodromal stages, the latter is more sensitive to the advanced prodromal stages of AD. These novel tests can aid in the early detection, monitor disease progression and response to treatment, and thus support drug development programs. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Gonzalo Forno
- School of Psychology, Universidad de los Andes, Santiago, Chile
- Center for Brain Health and Metabolism (GERO), Santiago, Chile
| | - Mario A. Parra
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Daniela Thumala
- Center for Brain Health and Metabolism (GERO), Santiago, Chile
- Psychology Department, Faculty of Social Sciences, University of Chile, Santiago, Chile
- Interuniversity Center on Healthy Aging (Plan to Strengthen State Universities, Chilean Ministry of Education RED21993). Santiago, Chile
| | - Roque Villagra
- Center for Brain Health and Metabolism (GERO), Santiago, Chile
- Centro de Parkinson (CENPAR), Santiago, Chile
| | - Mauricio Cerda
- Programa de Biología Integrativa, Instituto de Ciencias Biomédicas y Centro de Informática Médica y Telemedicina, Facultad de Medicina, Universidad de Chile
| | - Pedro Zitko
- Center for Brain Health and Metabolism (GERO), Santiago, Chile
- Departamento de Salud Global, Escuela de Salud Pública, Universidad de Chile
- Department of Health Services & Population Research, IoPPN, King’s College London
| | - Agustín Ibañez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, and National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), California, US; & Trinity College Dublin (TCD), Dublin, Ireland
| | - Patricia Lillo
- Center for Brain Health and Metabolism (GERO), Santiago, Chile
- Departamento de Neurología Sur, Facultad de Medicina, Universidad de Chile
- Unidad de Neurología, Hospital San José, Santiago, Chile
| | - Andrea Slachevsky
- Center for Brain Health and Metabolism (GERO), Santiago, Chile
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department, Institute of Biomedical Science (ICBM), Neuroscience and East Neuroscience Department, Faculty of Medicine, University of Chile, Santiago, Chile
- Memory and Neuropsychiatric Clinic, Neurology Department, Hospital del Salvador, SSMO & Faculty of Medicine, University of Chile, Santiago, Chile
- Servicio de Neurología, Departamento de Medicina, Clínica Alemana-Universidad del Desarrollo, Santiago, Chile
- East Neuroscience Department, Faculty of Medicine, University of Chile, Santiago, Chile
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Reeves SM, Williams V, Blacker D, Woods RL. Further evaluation of narrative description as a measure of cognitive function in Alzheimer's disease. Neuropsychology 2023; 37:801-812. [PMID: 36548079 PMCID: PMC10448628 DOI: 10.1037/neu0000884] [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] [Indexed: 08/26/2023] Open
Abstract
OBJECTIVE The narrative description (ND) test objectively measures the ability to understand and describe visual scenes. As subtle differences in speech occur early in cognitive decline, we analyzed linguistic features for their utility in detecting cognitive impairment and predicting downstream decline. METHOD Participants (n = 52) with normal cognition to mild dementia performed the ND test (watched twenty 30-s video clips and described the visual content). Cognitive function was followed for up to 5 years. We computed simple linguistic features such as content efficiency, speech rate, and part of speech and unique word counts. We examined (a) relationships between cognitive status and ND score and linguistic features; (b) ability to discriminate early cognitive impairment from normal cognition using ND score and linguistic features; and (c) whether ND score and linguistic features were associated with future cognitive functional decline. RESULTS Many of the linguistic-feature metrics were related to cognitive status. Many of the linguistic features could distinguish between the cognitively normal group and the mild cognitive impairment (MCI) and Dementia groups. The area under the curve (AUC) for ND score alone was 0.74, with a nonsignificant increase to 0.78 when adding mean word length. Among participants with subjective cognitive decline (SCD) at the first visit, a smaller number of words plus more interjections or a lower ND score at baseline were predictive of future cognitive decline. CONCLUSIONS While many linguistic features were associated with cognitive status, and some were able to detect early cognitive impairment or predictive of future cognitive decline, all the features we tested seem to have been captured by the ND score. Thus, adding linguistic measures to the ND test score did not add to its value in assessing current or predicting future cognitive status. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Stephanie M Reeves
- Schepens Eye Research Institute, Massachusetts Eye and Ear, Boston, Massachusetts
| | - Victoria Williams
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Deborah Blacker
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Russell L Woods
- Schepens Eye Research Institute, Massachusetts Eye and Ear, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
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48
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Günak MM, Ebrahimi OV, Pietrzak RH, Fried EI. Using network models to explore the associations between posttraumatic stress disorder symptoms and subjective cognitive functioning. J Anxiety Disord 2023; 99:102768. [PMID: 37716026 DOI: 10.1016/j.janxdis.2023.102768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 06/24/2023] [Accepted: 09/03/2023] [Indexed: 09/18/2023]
Abstract
Several studies have identified relationships between posttraumatic stress disorder (PTSD) and cognitive functioning. Here, we aimed to elucidate the nature of this relationship by investigating cross-sectional associations between subjective cognitive functioning (SCF) and 1) the PTSD sum score, 2) symptom domains, and 3) individual symptoms. We also investigated temporal stability by testing whether results replicated over a 3-year period. We estimated partial correlation networks of DSM-5 PTSD symptoms (at baseline) and SCF (at baseline and follow-up, respectively), using data from the National Health and Resilience in Veterans Study (NHRVS; N = 1484; Mdn = 65 years). The PTSD sum score was negatively associated with SCF. SCF was consistently negatively associated with the PTSD symptom domains 'marked alterations in arousal and reactivity' and 'negative alterations in cognitions and mood', and showed robust relations with the specific symptoms 'having difficulty concentrating' and 'trouble experiencing positive feelings'. Results largely replicated at the 3-year follow-up, suggesting that some PTSD symptoms both temporally precede and are statistically associated with the development or maintenance of reduced SCF. We discuss the importance of examining links between specific PTSD domains and symptoms with SCF-relations obfuscated by focusing on PTSD diagnoses or sum scores-as well as investigating mechanisms underlying these relations. Registration Number: 37069 (https://aspredicted.org/n5sw7.pdf).
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Affiliation(s)
- Mia Maria Günak
- Department of Clinical Psychology, Leiden University, Pieter de la Court Building, Wassernaarseweg 52, 2333 AK Leiden, the Netherlands; Department of Psychology, LMU Munich, Leopoldstr. 13, 80802 Munich, Germany
| | - Omid V Ebrahimi
- Department of Clinical Psychology, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway; Department of Psychology, University of Amsterdam, Roeterseiland Campus, Nieuwe Achtergracht 129-B, 1018 WS Amsterdam, the Netherlands
| | - Robert H Pietrzak
- US Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, West Haven, CT 06516, USA; Department of Psychiatry, Yale School of Medicine, 300 George Street, New Haven, CT 06511, USA; Department of Social and Behavioral Sciences, Yale School of Public Health, P.O. Box 208034, 60 College Street, New Haven, CT 06520-0834, USA
| | - Eiko I Fried
- Department of Clinical Psychology, Leiden University, Pieter de la Court Building, Wassernaarseweg 52, 2333 AK Leiden, the Netherlands.
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Chan FHF, Newman S, Khan BA, Griva K. Prevalence and trajectories of subjective cognitive complaints and implications for patient outcomes: A prospective study of haemodialysis patients. Br J Health Psychol 2023; 28:651-671. [PMID: 36720474 DOI: 10.1111/bjhp.12645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 01/03/2023] [Accepted: 01/13/2023] [Indexed: 02/02/2023]
Abstract
OBJECTIVES Cognitive impairment is common in haemodialysis patients and is associated with increased hospitalization and mortality. However, subjective cognitive complaints (SCCs), the self-experienced difficulties in everyday cognitive activities, remain poorly understood. This study examined the prevalence and course of SCCs in haemodialysis patients and its longitudinal associations with sociodemographic, clinical and patient-reported variables. DESIGN Observational prospective study with baseline and 12-month follow-up assessment. METHODS Based on a validated cut-off point on the Kidney Disease Quality of Life Cognitive Function subscale, haemodialysis patients (N = 159; 40.3% female, mean age 53.62) were classified into cognitive complaint trajectories: (1) resilient (60.4%; no/low SCCs throughout); (2) persistent (8.8%; stable high SCCs); (3) deterioration (17.6%; from no/low to high SCCs); and (4) recovery (13.2%; from high to no/low SCCs). Sociodemographic/clinical characteristics, self-efficacy, self-management skills, adherence, mood and biochemical assays were measured at both assessments and compared among trajectories using mixed ANOVAs. RESULTS Interaction effects indicated significant improvements in the recovery group in clinical outcomes (i.e., decreased phosphorus and calcium-phosphorus product), self-efficacy and mood over time. Group effects indicated significantly poorer self-efficacy, self-management skills and adherence in the persistent group than other trajectories across both assessments. None of the sociodemographic/clinical characteristics was associated with SCC trajectories. CONCLUSIONS The extent of SCCs vary over time across haemodialysis patients. Routine screening of SCCs in dialysis settings may help identifying patients at risk of poor self-management and worse prognosis. Strategies that compensate for cognitive lapses may mitigate the perceived cognitive burden of this population.
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Affiliation(s)
- Frederick H F Chan
- Population/Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore City, Singapore
| | - Stanton Newman
- Division of Health Services Research and Management, School of Health Sciences, City University of London, London, UK
| | - Behram A Khan
- National Kidney Foundation, Singapore City, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
| | - Konstadina Griva
- Population/Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore City, Singapore
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50
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Goldstein FC, Okafor M, Yang Z, Thomas T, Saleh S, Hajjar I. Subjective cognitive complaints in White and African American older adults: associations with demographic, mood, cognitive, and neuroimaging features. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2023; 30:957-970. [PMID: 37602758 PMCID: PMC10843657 DOI: 10.1080/13825585.2023.2249181] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 07/03/2023] [Indexed: 08/22/2023]
Abstract
Subjective cognitive complaints (SCC) in cognitively intact older adults have been investigated as a clinically important symptom that may portend the onset of a neurodegenerative disorder such as Alzheimer's disease. Few studies have concurrently incorporated demographic features, depressive symptoms, neuropsychological status, and neuroimaging correlates of SCC and evaluated whether these differ in White and African American older adults. In the current study, 131 (77 White, 54 African American) healthy participants ≥50 years old completed the Cognitive Function Instrument (CFI) to assess SCC, and they underwent objective cognitive testing, assessment of mood, and brain magnetic resonance imaging. Pearson Product Moment correlations were performed to evaluate associations of the CFI self-ratings with the above measures for the combined group and separately for White and African American participants. SCC were associated with greater depressive symptoms in both White and African American participants in adjusted models controlling for overall cognitive status, education, and hypertension. Greater white matter hyperintensities, lower cortical thickness, older age, and slower set shifting speed were associated with increased SCC in White participants. Although the correlations were not significant for African Americans, the strength of the associations were comparable to White participants. Hippocampal volume was not associated with either total SCC or items specific to memory functioning in the entire group. Longitudinal studies are needed to further evaluate the clinical significance of these associations with risk of conversion to mild cognitive impairment and dementia.
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Affiliation(s)
| | - Maureen Okafor
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia
| | - Zhiyi Yang
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia
| | - Tiffany Thomas
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia
| | - Sabria Saleh
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia
| | - Ihab Hajjar
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia
- Department of Neurology, University of Texas Southwestern, Dallas Texas
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