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Mo R, Jiang M, Xu H, Jia R. Effect of probiotics on cognitive function in adults with mild cognitive impairment or Alzheimer's disease: A meta-analysis of randomized controlled trials. Med Clin (Barc) 2024; 162:565-573. [PMID: 38641508 DOI: 10.1016/j.medcli.2024.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 01/06/2024] [Accepted: 01/09/2024] [Indexed: 04/21/2024]
Abstract
BACKGROUND Recent clinical studies have yielded controversial results regarding the effect of probiotics on cognitive function in Alzheimer's disease (AD) or mild cognitive impairment (MCI) subjects. To clarify the efficacy of probiotics on cognition, we conducted a meta-analysis of randomized controlled trials (RCTs). METHODS Instructions of the PRISMA 2020 statement were followed. Literature from the PubMed, Embase and Cochrane databases were systematically searched and manually screened for relevant published RCTs. We performed statistical analysis using RevMan, and assessed the risk of bias using the R software. RESULTS A total of 12 studies comprising 852 patients with MCI or AD were identified. The results of meta-analysis showed that probiotics improved global cognitive function (SMD=0.67; 95% CI, 0.32, 1.02), recall/delayed memory (SMD=0.67; 95% CI: 0.32, 1.02), attention (SMD=0.31; 95% CI: 0.04, 0.58) and visuospatial/constructional (SMD=0.24; 95% CI: 0.06, 0.42) cognitive domain. CONCLUSION This meta-analysis found that probiotic supplementation is associated with an improvement in cognitive performance among patients with AD and MCI. However, current evidence is limited, and more reliable large-scale RCTs with higher methodological quality are needed.
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Affiliation(s)
- Rui Mo
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China
| | - Man Jiang
- Department of Geriatrics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China
| | - Hongwei Xu
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China
| | - Ruzhen Jia
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China.
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Chang K, Ling JP, Redding-Ochoa J, An Y, Li L, Dean SA, Blanchard TG, Pylyukh T, Barrett A, Irwin KE, Moghekar A, Resnick SM, Wong PC, Troncoso JC. Loss of TDP-43 splicing repression occurs early in the aging population and is associated with Alzheimer's disease neuropathologic changes and cognitive decline. Acta Neuropathol 2023; 147:4. [PMID: 38133681 DOI: 10.1007/s00401-023-02653-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 10/23/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
LATE-NC, the neuropathologic changes of limbic-predominant age-related TAR DNA-binding protein 43 kDa (TDP-43) encephalopathy are frequently associated with Alzheimer's disease (AD) and cognitive impairment in older adults. The association of TDP-43 proteinopathy with AD neuropathologic changes (ADNC) and its impact on specific cognitive domains are not fully understood and whether loss of TDP-43 function occurs early in the aging brain remains unknown. Here, using a large set of autopsies from the Baltimore Longitudinal Study of Aging (BLSA) and another younger cohort, we were able to study brains from subjects 21-109 years of age. Examination of these brains show that loss of TDP-43 splicing repression, as judged by TDP-43 nuclear clearance and expression of a cryptic exon in HDGFL2, first occurs during the 6th decade, preceding by a decade the appearance of TDP-43+ neuronal cytoplasmic inclusions (NCIs). We corroborated this observation using a monoclonal antibody to demonstrate a cryptic exon-encoded neoepitope within HDGFL2 in neurons exhibiting nuclear clearance of TDP-43. TDP-43 nuclear clearance is associated with increased burden of tau pathology. Age at death, female sex, high CERAD neuritic plaque score, and high Braak neurofibrillary stage significantly increase the odds of LATE-NC. Faster rates of cognitive decline on verbal memory (California Verbal Learning Test immediate recall), visuospatial ability (Card Rotations Test), mental status (MMSE) and semantic fluency (Category Fluency Test) were associated with LATE-NC. Notably, the effects of LATE-NC on verbal memory and visuospatial ability are independent of ADNC. However, the effects of TDP-43 nuclear clearance in absence of NCI on the longitudinal trajectories and levels of cognitive measures are not significant. These results establish that loss of TDP-43 splicing repression is an early event occurring in the aging population during the development of TDP-43 proteinopathy and is associated with increased tau pathology. Furthermore, LATE-NC correlates with high levels of ADNC but also has an impact on specific memory and visuospatial functions in aging that is independent of AD.
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Affiliation(s)
- Koping Chang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Department and Graduate Institute of Pathology, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, 100225, Taiwan
| | - Jonathan P Ling
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Javier Redding-Ochoa
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Ling Li
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Office of the Chief Medical Examiner, State of Maryland, Baltimore, MD, 21223, USA
- Department of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Stephanie A Dean
- Office of the Chief Medical Examiner, State of Maryland, Baltimore, MD, 21223, USA
| | - Thomas G Blanchard
- Department of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Tatiana Pylyukh
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Alexander Barrett
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Katherine E Irwin
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Philip C Wong
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Juan C Troncoso
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
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Mascarenhas Fonseca L, Sage Chaytor N, Olufadi Y, Buchwald D, Galvin JE, Schmitter-Edgecombe M, Suchy-Dicey A. Intraindividual Cognitive Variability and Magnetic Resonance Imaging in Aging American Indians: Data from the Strong Heart Study. J Alzheimers Dis 2023; 91:1395-1407. [PMID: 36641671 PMCID: PMC9974814 DOI: 10.3233/jad-220825] [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: 01/15/2023]
Abstract
BACKGROUND American Indians have high prevalence of risk factors for Alzheimer's disease and related dementias (ADRD) compared to the general population, yet dementia onset and frequency in this population are understudied. Intraindividual cognitive variability (IICV), a measure of variability in neuropsychological test performance within a person at a single timepoint, may be a novel, noninvasive biomarker of neurodegeneration and early dementia. OBJECTIVE To characterize the cross-sectional associations between IICV and hippocampal, total brain volume, and white matter disease measured by magnetic resonance imaging (MRI) among older American Indians. METHODS IICV measures for memory, executive function, and processing speed, and multidomain cognition were calculated for 746 American Indians (aged 64-95) who underwent MRI. Regression models were used to examine the associations of IICV score with hippocampal volume, total brain volume, and graded white matter disease, adjusting for age, sex, education, body mass index, intracranial volume, diabetes, stroke, hypertension, hypercholesterolemia, alcohol use, and smoking. RESULTS Higher memory IICV measure was associated with lower hippocampal volume (Beta = -0.076; 95% CI -0.499, -0.023; p = 0.031). After adjustment for Bonferroni or IICV mean scores in the same tests, the associations were no longer significant. No IICV measures were associated with white matter disease or total brain volume. CONCLUSION These findings suggest that the IICV measures used in this research cannot be robustly associated with cross-sectional neuroimaging features; nonetheless, the results encourage future studies investigating the associations between IICV and other brain regions, as well as its utility in the prediction of neurodegeneration and dementia in American Indians.
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Affiliation(s)
- Luciana Mascarenhas Fonseca
- Elson S Floyd College of Medicine, Washington State University, United States
- Programa Terceira Idade (PROTER, Old Age Research Group), Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Naomi Sage Chaytor
- Elson S Floyd College of Medicine, Washington State University, United States
| | - Yunusa Olufadi
- Elson S Floyd College of Medicine, Washington State University, United States
| | - Dedra Buchwald
- Elson S Floyd College of Medicine, Washington State University, United States
- Institute for Research and Education to Advance Community Health, Washington State University, United States
| | - James E. Galvin
- Comprehensive Center for Brain Health, Department of Neurology, University of Miami Miller School of Medicine, United States
| | | | - Astrid Suchy-Dicey
- Elson S Floyd College of Medicine, Washington State University, United States
- Institute for Research and Education to Advance Community Health, Washington State University, United States
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Cognitive dispersion is elevated in amyloid-positive older adults and associated with regional hypoperfusion. J Int Neuropsychol Soc 2022:1-11. [PMID: 36093903 PMCID: PMC10008465 DOI: 10.1017/s1355617722000649] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Cognitive dispersion across neuropsychological measures within a single testing session is a promising marker predictive of cognitive decline and development of Alzheimer's disease (AD). However, little is known regarding brain changes underlying cognitive dispersion, and the association of cognitive dispersion with in vivo AD biomarkers and regional cerebral blood flow (CBF) has received limited study. We therefore examined associations among cognitive dispersion, amyloid-beta (Aβ) positivity, and regional CBF among older adults free of dementia. METHOD One hundred and forty-eight Alzheimer's Disease Neuroimaging Initiative (ADNI) participants underwent neuropsychological testing and neuroimaging. Pulsed arterial spin labeling (ASL) magnetic resonance imaging (MRI) was acquired to quantify CBF. Florbetapir positron emission tomography (PET) imaging determined Aβ positivity. RESULTS Adjusting for age, gender, education, and mean cognitive performance, older adults who were Aβ+ showed higher cognitive dispersion relative to those who were Aβ-. Across the entire sample, higher cognitive dispersion was associated with reduced CBF in inferior parietal and temporal regions. Secondary analyses stratified by Aβ status demonstrated that higher cognitive dispersion was associated with reduced CBF among Aβ+ individuals but not among those who were Aβ-. CONCLUSIONS Cognitive dispersion may be sensitive to early Aβ accumulation and cerebrovascular changes adjusting for demographics and mean neuropsychological performance. Associations between cognitive dispersion and CBF were observed among Aβ+ individuals, suggesting that cognitive dispersion may be a marker of brain changes among individuals on the AD continuum. Future studies should examine whether cognitive dispersion predicts brain changes in diverse samples and among those with greater vascular risk burden.
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Holmqvist SL, Thomas KR, Brenner EK, Edmonds EC, Calcetas A, Edwards L, Bordyug M, Bangen KJ. Longitudinal Intraindividual Cognitive Variability Is Associated With Reduction in Regional Cerebral Blood Flow Among Alzheimer's Disease Biomarker-Positive Older Adults. Front Aging Neurosci 2022; 14:859873. [PMID: 35875798 PMCID: PMC9300445 DOI: 10.3389/fnagi.2022.859873] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 06/06/2022] [Indexed: 02/03/2023] Open
Abstract
Intraindividual variability (IIV) across neuropsychological measures within a single testing session is a promising marker predictive of cognitive decline and development of Alzheimer's disease (AD). We have previously shown that greater IIV is cross-sectionally associated with reduced cerebral blood flow (CBF), but not with cortical thickness or brain volume, in older adults without dementia who were amyloid beta (Aβ) positive. However, there is little known about the association between change in IIV and CBF over time. Therefore, we examined 12-month longitudinal change in IIV and interactions of IIV and AD biomarker status on changes in regional CBF. Fifty-three non-demented Alzheimer's Disease Neuroimaging Initiative (ADNI) participants underwent lumbar puncture to obtain cerebrospinal fluid (CSF) at baseline and neuropsychological testing and magnetic resonance imaging (MRI) exams at baseline and 12-month follow-up evaluation. IIV was calculated as the intraindividual standard deviation across 6 demographically-corrected neuropsychological measures. Pulsed arterial spin labeling (ASL) MRI was acquired to quantify CBF and FreeSurfer-derived a priori CBF regions of interest (ROIs) were examined. AD biomarker positivity was determined using a published CSF p-tau/Aβ ratio cut-score. Change scores were calculated for IIV, CBF, and mean neuropsychological performance from baseline to 12 months. Hierarchical linear regression models showed that after adjusting for age and gender, there was a significant interaction between IIV change and biomarker-positivity (p-tau/Aβ+) for change in entorhinal and hippocampal CBF but not for the other ROIs. Specifically, increases in IIV were associated with reductions in entorhinal and hippocampal CBF among individuals who were biomarker-positive (n = 21). In contrast, there were no significant associations between change in IIV and CBF among those who were biomarker-negative (n = 32). Findings remained similar when analyses were performed adjusting for change in mean level of neuropsychological performance. Changes in IIV may be sensitive to changes in regional hypoperfusion in AD-vulnerable regions among AD biomarker-positive individuals, above and beyond demographics and mean neuropsychological performance. These findings provide further evidence supporting IIV as a potential marker of cerebrovascular brain changes in individuals at risk for dementia.
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Affiliation(s)
- Sophia L. Holmqvist
- Research Service, VA San Diego Healthcare System, San Diego, CA, United States
| | - Kelsey R. Thomas
- Research Service, VA San Diego Healthcare System, San Diego, CA, United States,Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Einat K. Brenner
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Emily C. Edmonds
- Research Service, VA San Diego Healthcare System, San Diego, CA, United States,Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Amanda Calcetas
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Lauren Edwards
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, United States
| | - Maria Bordyug
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Katherine J. Bangen
- Research Service, VA San Diego Healthcare System, San Diego, CA, United States,Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States,*Correspondence: Katherine J. Bangen,
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Abstract
OBJECTIVE Discrepancies exist in reports of social cognition deficits in individuals with premanifest Huntington's disease (HD); however, the reason for this variability has not been investigated. The aims of this study were to (1) evaluate group- and individual-level social cognitive performance and (2) examine intra-individual variability (dispersion) across social cognitive domains in individuals with premanifest HD. METHOD Theory of mind (ToM), social perception, empathy, and social connectedness were evaluated in 35 individuals with premanifest HD and 29 healthy controls. Cut-off values beneath the median and 1.5 × the interquartile range below the 25th percentile (P25 - 1.5 × IQR) of healthy controls for each variable were established for a profiling method. Dispersion between social cognitive domains was also calculated. RESULTS Compared to healthy controls, individuals with premanifest HD performed worse on all social cognitive domains except empathy. Application of the profiling method revealed a large proportion of people with premanifest HD fell below healthy control median values across ToM (>80%), social perception (>57%), empathy (>54%), and social behaviour (>40%), with a percentage of these individuals displaying more pronounced impairments in empathy (20%) and ToM (22%). Social cognition dispersion did not differ between groups. No significant correlations were found between social cognitive domains and mood, sleep, and neurocognitive outcomes. CONCLUSIONS Significant group-level social cognition deficits were observed in the premanifest HD cohort. However, our profiling method showed that only a small percentage of these individuals experienced marked difficulties in social cognition, indicating the importance of individual-level assessments, particularly regarding future personalised treatments.
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LaPlume AA, Paterson TSE, Gardner S, Stokes KA, Freedman M, Levine B, Troyer AK, Anderson ND. Interindividual and intraindividual variability in amnestic mild cognitive impairment (aMCI) measured with an online cognitive assessment. J Clin Exp Neuropsychol 2021; 43:796-812. [PMID: 34556008 DOI: 10.1080/13803395.2021.1982867] [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: 10/20/2022]
Abstract
INTRODUCTION Mean cognitive performance is worse in amnestic mild cognitive impairment (aMCI) compared to control groups. However, studies on variability of cognitive performance in aMCI have yielded inconclusive results, with many differences in variability measures and samples from one study to another. METHODS We examined variability in aMCI using an existing older adult sample (n = 91; 51 with aMCI, 40 with normal cognition for age), measured with an online self-administered computerized cognitive assessment (Cogniciti's Brain Health Assessment). Our methodology extended past findings by using pure measures of variability (controlling for confounding effects of group performance or practice), and a clinically representative aMCI sample (reflecting the continuum of cognitive performance between normal cognition and aMCI). RESULTS Between-group t-tests showed significantly greater between-person variability (interindividual variability or diversity) in overall cognitive performance in aMCI than controls, although the effect size was with a small to moderate effect size, d = 0.44. No significant group differences were found in within-person variability (intraindividual variability) across cognitive tasks (dispersion) or across trials of a response time task (inconsistency), which may be because we used a sample measuring the continuum of cognitive performance. Exploratory correlation analyses showed that a worse overall score was associated with greater inter- and intraindividual variability, and that variability measures were correlated with each other, indicating people with worse cognitive performance were more variable. DISCUSSION The current study demonstrates that self-administered online tests can be used to remotely assess different types of variability in people at risk of Alzheimer`s. Our findings show small but significantly more interindividual differences in people with aMCI. This diversity is considered as "noise" in standard assessments of mean performance, but offers an interesting and cognitively informative "signal" in itself.
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Affiliation(s)
- Annalise A LaPlume
- Rotman Research Institute, Baycrest (Fully Affiliated with the University of Toronto), Toronto, Canada
| | - Theone S E Paterson
- Department of Psychology, University of Victoria, Victoria, Canada.,Neuropsychology and Cognitive Health Program, Baycrest, Toronto, Canada
| | - Sandra Gardner
- Rotman Research Institute, Baycrest (Fully Affiliated with the University of Toronto), Toronto, Canada.,Biostatistics Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Kathryn A Stokes
- Neuropsychology and Cognitive Health Program, Baycrest, Toronto, Canada
| | - Morris Freedman
- Rotman Research Institute, Baycrest (Fully Affiliated with the University of Toronto), Toronto, Canada.,Division of Neurology, Baycrest, Toronto, Canada.,Department of Medicine, Division of Neurology, Mt. Sinai Hospital, Toronto, ON, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Canada
| | - Brian Levine
- Rotman Research Institute, Baycrest (Fully Affiliated with the University of Toronto), Toronto, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Canada.,Department of Psychology, University of Toronto, Toronto, Canada
| | - Angela K Troyer
- Neuropsychology and Cognitive Health Program, Baycrest, Toronto, Canada.,Department of Psychology, University of Toronto, Toronto, Canada
| | - Nicole D Anderson
- Rotman Research Institute, Baycrest (Fully Affiliated with the University of Toronto), Toronto, Canada.,Department of Psychology, University of Toronto, Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
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Watermeyer T, Goerdten J, Johansson B, Muniz-Terrera G. Cognitive dispersion and ApoEe4 genotype predict dementia diagnosis in 8-year follow-up of the oldest-old. Age Ageing 2021; 50:868-874. [PMID: 33196771 DOI: 10.1093/ageing/afaa232] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 09/03/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Cognitive dispersion, or inconsistencies in performance across cognitive domains, has been posited as a cost-effective tool to predict conversion to dementia in older adults. However, there is a dearth of studies exploring cognitive dispersion in the oldest-old (>80 years) and its relationship to dementia incidence. OBJECTIVE The main aim of this study was to examine whether higher cognitive dispersion at baseline was associated with dementia incidence within an 8-year follow-up of very old adults, while controlling for established risk factors and suggested protective factors for dementia. METHODS Participants (n = 468) were from the Origins of Variance in the Old-Old: Octogenarian Twins study, based on the Swedish Twin Registry. Cox regression analyses were performed to assess the association between baseline cognitive dispersion scores and dementia incidence, while controlling for sociodemographic variables, ApoEe4 carrier status, co-morbidities, zygosity and lifestyle engagement scores. An additional model included a composite of average cognitive performance. RESULTS Cognitive dispersion and ApoEe4 were significantly associated with dementia diagnosis. These variables remained statistically significant when global cognitive performance was entered into the model. Likelihood ratio tests revealed that cognitive dispersion and cognitive composite scores entered together in the same model was superior to either predictor alone in the full model. CONCLUSIONS The study underscores the usefulness of cognitive dispersion metrics for dementia prediction in the oldest-old and highlights the influence of ApoEe4 on cognition in very late age. Our findings concur with others suggesting that health and lifestyle factors pose little impact upon cognition in very advanced age.
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Affiliation(s)
- Tam Watermeyer
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Faculty of Health and Life Sciences, Department of Psychology, Northumbria University, Newcastle, UK
| | - Jantje Goerdten
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology–BIPS, Bremen, Germany
| | - Boo Johansson
- Department of Psychology, Centre for Ageing and Health (AgeCap), University of Gothenburg, Gothenburg, Sweden
| | - Graciela Muniz-Terrera
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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Manning KJ, Preciado-Pina J, Wang L, Fitzgibbon K, Chan G, Steffens DC. Cognitive variability, brain aging, and cognitive decline in late-life major depression. Int J Geriatr Psychiatry 2021; 36:665-676. [PMID: 33169874 DOI: 10.1002/gps.5465] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 11/07/2020] [Indexed: 11/08/2022]
Abstract
OBJECTIVES Older adults with late-life major depression (LLMD) are at increased risk of dementia. Dispersion, or within-person performance variability across cognitive tests, is a potential marker of cognitive decline. This study examined group differences in dispersion between LLMD and nondepressed healthy controls (HC) and investigated whether dispersion was a predictor of cognitive performance 1 year later in LLMD. We also explored demographic, clinical, and structural imaging correlates of dispersion in LLMD and HC. We hypothesized that dispersion would be greater in LLMD compared with HC and would be associated with worse cognitive performance 1 year later in LLMD. DESIGN Participants were enrolled in the Neurobiology of Late-Life Depression, a naturalistic longitudinal investigation of the predictors of poor illness course in LLMD. PARTICIPANTS The baseline sample consisted of 121 older adults with LLMD and 39 HC; of these subjects, 94 LLMD and 35 HC underwent magnetic resonance imaging (MRI). One-year cognitive data were available for 107 LLMD patients. MEASUREMENTS All participants underwent detailed clinical and structural MRI at baseline. LLMD participants also completed a comprehensive cognitive evaluation 1 year later. RESULTS Higher test dispersion was evident in LLMD when compared with nondepressed controls. Greater baseline dispersion predicted 1-year cognitive decline in LLMD patients even when controlling for baseline cognitive functioning and demographic and clinical confounders. Dispersion was correlated with white matter lesions in LLMD but not HC. Dispersion was also correlated with anxiety in both LLMD and HC. CONCLUSIONS Dispersion is a marker of neurocognitive integrity that requires further exploration in LLMD.
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Affiliation(s)
- Kevin J Manning
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Joshua Preciado-Pina
- Department of Psychology, The University of Texas at El Paso, El Paso, Texas, USA
| | - Lihong Wang
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Kimberly Fitzgibbon
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - David C Steffens
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
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10
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Paxton JL, Resch ZJ, Cation B, Lapitan F, Obolsky MA, Calderone V, Fink JW, Lee RC, Soble JR, Pliskin NH. The relationship between neuropsychological dispersion, processing speed and memory after electrical injury. J Clin Exp Neuropsychol 2021; 43:144-155. [PMID: 33648409 DOI: 10.1080/13803395.2021.1889989] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Introduction: Previous studies of neuropsychological performance in electrical injury (EI) patients have produced evidence of deficits in various cognitive domains, but studies have yet to investigate relationships among performance in cognitive domains post-EI. This study examined whether dispersion among neuropsychological test scores was associated with injury parameters and neuropsychological performance in EI patients. Additionally, we examined whether dispersion, processing speed and/or executive abilities explain variance in episodic verbal and visual memory performance among EI patients.Method: Data from 52 post-acute EI patients undergoing outpatient evaluation with objectively-verified valid neuropsychological test performance were examined. Tests included measures of verbal and visual memory, processing speed, and executive functioning. Dispersion was calculated from executive functioning and processing speed scores.Results: Dispersion was not related to mean performance or injury characteristics, but was significantly negatively correlated with performance on a test of processing speed, suggesting that increased dispersion is associated with reduced cognitive efficiency post-EI. Delayed visual memory was related to both dispersion scores and processing speed. Stepwise regression equations predicting delayed memory determined that processing speed most significantly predicted delayed visual memory, even after controlling for immediate visual memory. No significant relationships emerged between verbal memory and non-memory neuropsychological scores.Conclusions: This is the first study to examine neuropsychological dispersion and relationships among domains of cognitive functioning in EI. Current results suggested that neuropsychological dispersion is not a marker of general functioning or severity of injury in EI patients, but may represent more specific processing speed abilities. Processing speed predicts delayed visual memory performance in EI patients, which should be considered in interpreting test scores during evaluations.
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Affiliation(s)
- Jessica L Paxton
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.,Department of Psychology, Roosevelt University, Chicago, IL, USA
| | - Zachary J Resch
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.,Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA
| | - Bailey Cation
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.,Department of Psychology, Roosevelt University, Chicago, IL, USA
| | - Franchezka Lapitan
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.,Department of Psychology, Roosevelt University, Chicago, IL, USA
| | - Maximillian A Obolsky
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.,Department of Psychology, Roosevelt University, Chicago, IL, USA
| | - Veroly Calderone
- The Chicago Electrical Trauma Rehabilitation Institute (CETRI), Chicago, IL, USA
| | - Joseph W Fink
- The Chicago Electrical Trauma Rehabilitation Institute (CETRI), Chicago, IL, USA.,Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Raphael C Lee
- The Chicago Electrical Trauma Rehabilitation Institute (CETRI), Chicago, IL, USA.,Departments of Surgery, Medicine and Organismal Biology, University of Chicago, Chicago, IL, USA
| | - Jason R Soble
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.,Department of Neurology, University of Illinois College of Medicine, Chicago, IL, USA
| | - Neil H Pliskin
- Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.,The Chicago Electrical Trauma Rehabilitation Institute (CETRI), Chicago, IL, USA.,Department of Neurology, University of Illinois College of Medicine, Chicago, IL, USA
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Deng L, Wang Y. Hybrid diffusion tensor imaging feature-based AD classification. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2021; 29:151-169. [PMID: 33325450 DOI: 10.3233/xst-200771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
BACKGROUND Effective detection of Alzheimer's disease (AD) is still difficult in clinical practice. Therefore, establishment of AD detection model by means of machine learning is of great significance to assist AD diagnosis. OBJECTIVE To investigate and test a new detection model aiming to help doctors diagnose AD more accurately. METHODS Diffusion tensor images and the corresponding T1w images acquired from subjects (AD = 98, normal control (NC) = 100) are used to construct brain networks. Then, 9 types features (198×90×9 in total) are extracted from the 3D brain networks by a graph theory method. Features with low correction in both groups are selected through the Pearson correlation analysis. Finally, the selected features (198×33, 198×26, 198×30, 198×42, 198×36, 198×23, 198×29, 198×14, 198×25) are separately used into train 3 machine learning classifier based detection models in which 60% of study subjects are used for training, 20% for validation and 20% for testing. RESULTS The best detection accuracy levels of 3 models are 90%, 98% and 90% with the corresponding sensitivity of 92%, 96%, and 72% and specificity of 88%, 100% and 94% when using a random forest classifier trained with the Shortest Path Length (SPL) features (198×14), a support vector machine trained with the Degree Centrality features (198×33), and a convolution neural network trained with SPL features, respectively. CONCLUSIONS This study demonstrates that the new method and models not only improve the accuracy of detecting AD, but also avoid bias caused by the method of direct dimensionality reduction from high dimensional data.
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Affiliation(s)
- Lan Deng
- School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Yuanjun Wang
- School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China
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12
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Watermeyer T, Marroig A, Ritchie CW, Ritchie K, Blennow K, Muniz-Terrera G. Cognitive Dispersion Is Not Associated with Cerebrospinal Fluid Biomarkers of Alzheimer's Disease: Results from the European Prevention of Alzheimer's Dementia (EPAD) v500.0 Cohort. J Alzheimers Dis 2020; 78:185-194. [PMID: 32955462 DOI: 10.3233/jad-200514] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cognitive dispersion, variation in performance across cognitive domains, is posited as a non-invasive and cost-effective marker of early neurodegeneration. Little work has explored associations between cognitive dispersion and Alzheimer's disease (AD) biomarkers in healthy older adults. Even less is known about the influence or interaction of biomarkers reflecting brain pathophysiology or other risk factors on cognitive dispersion scores. OBJECTIVE The main aim of this study was to examine whether higher cognitive dispersion was associated with cerebrospinal fluid (CSF) levels of amyloid-β (Aβ42), total tau (t-tau), phosphorylated tau (p-tau), and amyloid positivity in a cohort of older adults at various severities of AD. A secondary aim was to explore which AD risk factors were associated with cognitive dispersion scores. METHODS Linear and logistic regression analyses explored the associations between dispersion and CSF levels of Aβ42, t-tau, and p-tau and amyloid positivity (Aβ42 < 1000 pg/ml). Relationships between sociodemographics, APOEɛ4 status, family history of dementia, and levels of depression and dispersion were also assessed. RESULTS Dispersion did not emerge as associated with any of the analytes nor amyloid positivity. Older (β= -0.007, SE = 0.002, p = 0.001) and less educated (β= -0.009, SE = 0.003, p = 0.009) individuals showed greater dispersion. CONCLUSION Dispersion was not associated with AD pathology, but was associated with age and years of education, highlighting individual differences in cognitive aging. The use of this metric as a screening tool for existing AD pathology is not supported by our analyses. Follow-up work will determine if dispersion scores can predict changes in biomarker levels and/or positivity status longitudinally.
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Affiliation(s)
- Tam Watermeyer
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,Department of Psychology, Faculty of Health and Life Sciences, Northumbria University, Newcastle, UK
| | | | - Craig W Ritchie
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Karen Ritchie
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,French National Institute of Medical Research INSERM Unit Neuropsychiatry, Montpellier, France
| | - 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
| | - Graciela Muniz-Terrera
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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13
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Malek-Ahmadi M, Chen K, Perez SE, Mufson EJ. Cerebral Amyloid Angiopathy and Neuritic Plaque Pathology Correlate with Cognitive Decline in Elderly Non-Demented Individuals. J Alzheimers Dis 2020; 67:411-422. [PMID: 30594928 DOI: 10.3233/jad-180765] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND Cerebral amyloid angiopathy (CAA) is a vascular neuropathology commonly reported in non-cognitively impaired (NCI), mild cognitive impairment, and Alzheimer's disease (AD) brains. However, it is unknown whether similar findings are present in non-demented elderly subjects. OBJECTIVE This study determined the association between CAA and cognition among elderly NCI subjects with varying levels of AD pathology. METHODS Data from 182 cases that received a diagnosis of NCI at their first clinical assessment were obtained from the Rush Religious Orders study (RROS). A cognitive composite score was used to measure cognitive decline. CAA was dichotomized as present or absent. Cases were also dichotomized according to CERAD neuropathological diagnosis and Braak staging. A mixed model-repeated measures analysis assessed decline on the cognitive composite score. RESULTS CAA, alone, was not associated with cognitive decline [-0.87 (95% CI: -3.33, 1.58), p = 0.49]. However, among those with CAA, the High CERAD group had significantly greater decline relative to the Low CERAD group [-4.08 (95% CI: -7.10, -1.06), p = 0.008]. The High and Low CERAD groups were not significantly different [-1.77 (95% CI: -6.14, 2.60), p = 0.43] in those without CAA. Composite score decline in the High and Low Braak groups with [-1.32 (95% CI: -4.40, 1.75), p = 0.40] or without [0.27 (95% CI: -4.01, 4.56), p = 0.90] CAA was not significantly different. CONCLUSION The current data shows that an interaction between CAA and plaque load is associated with greater decline on a cognitive composite score used to test non-cognitively impaired elderly participants in AD prevention trials.
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Affiliation(s)
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | - Sylvia E Perez
- Department of Neurobiology, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Elliott J Mufson
- Department of Neurobiology, Barrow Neurological Institute, Phoenix, AZ, USA
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14
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Malek-Ahmadi M, Perez SE, Chen K, Mufson EJ. Braak Stage, Cerebral Amyloid Angiopathy, and Cognitive Decline in Early Alzheimer's Disease. J Alzheimers Dis 2020; 74:189-197. [PMID: 31985469 PMCID: PMC10026689 DOI: 10.3233/jad-191151] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The aim of this study was to determine the interaction between cerebral amyloid angiopathy (CAA) and Braak staging on cognition in the elderly. The study used a total of 141 subjects consisting of 72 non-cognitively impaired (NCI), 33 mild cognitive impairment (MCI), 36 Alzheimer's disease (AD) cases displaying Braak stages 0-II and III from the Rush Religious Order Study cohort. The association between Braak stage and CAA status and cognition was evaluated using a series of regression models that adjusted for age at death, sex, education, APOEɛ4 status, and Consortium to Establish a Registry for Alzheimer's Disease (CERAD) neuropathological diagnosis. Individuals with CAA were more likely to be classified as Braak stage III relative to those without CAA [OR = 2.33, 95% CI (1.06, 5.14), p = 0.04]. A significant interaction was found between Braak stage and CAA status on a global cognitive score (β = -0.58, SE = 0.25, p = 0.02). Episodic memory also showed a significant association between Braak stage and CAA (β= -0.75, SE = 0.35, p = 0.03). These data suggest that there is a significant interaction between tau pathology and cerebrovascular lesions on cognition within the AD clinical spectrum.
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Affiliation(s)
| | - Sylvia E. Perez
- Department of Neurobiology, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Kewei Chen
- Banner Alzheimer’s Institute, Phoenix, AZ, USA
| | - Elliott J. Mufson
- Department of Neurobiology, Barrow Neurological Institute, Phoenix, AZ, USA
- Correspondence to: Elliott Mufson, PhD, Director, Alzheimer’s Disease Research Laboratory, Professor, Department of Neurobiology, Barrow Neurological Institute, 350 W. Thomas Rd., Phoenix, AZ 85013, USA. Tel.: +1 602 406 8525; Fax: +1 602 406 8520;
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15
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Bangen KJ, Weigand AJ, Thomas KR, Delano-Wood L, Clark LR, Eppig J, Werhane ML, Edmonds EC, Bondi MW. Cognitive dispersion is a sensitive marker for early neurodegenerative changes and functional decline in nondemented older adults. Neuropsychology 2019; 33:599-608. [PMID: 30896235 DOI: 10.1037/neu0000532] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
OBJECTIVE Intraindividual cognitive variability (IIV), a measure of within-person variability across cognitive measures at a single time point, is associated with mild cognitive impairment (MCI) and Alzheimer's disease (AD). Little is known regarding brain changes underlying IIV, or the relationship between IIV and functional ability. Therefore, we investigated the association between IIV and cerebral atrophy in AD-vulnerable regions and everyday functioning in nondemented older adults. METHOD 736 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants (285 cognitively normal [CN]; 451 MCI) underwent neuropsychological testing and serial MRI over 2 years. Linear mixed effects models examined the association between baseline IIV and change in entorhinal cortex thickness, hippocampal volume, and everyday functioning. RESULTS Adjusting for age, sex, apolipoprotein E genotype, amyloid-β positivity, and mean level of cognitive performance, higher baseline IIV predicted faster rates of entorhinal and hippocampal atrophy, as well as functional decline. Higher IIV was associated with both entorhinal and hippocampal atrophy among MCI participants but selective vulnerability of the entorhinal cortex among CN individuals. CONCLUSIONS IIV was associated with more widespread medial temporal lobe (MTL) atrophy in individuals with MCI relative to CN, suggesting that IIV may be tracking advancing MTL pathologic changes across the continuum of aging, MCI, and dementia. Findings suggest that cognitive dispersion may be a sensitive marker of neurodegeneration and functional decline in nondemented older adults. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
| | | | - Kelsey R Thomas
- Research Service and Psychology Service, Veterans Affairs San Diego Healthcare System
| | - Lisa Delano-Wood
- Psychology Service, Veterans Affairs San Diego Healthcare System
| | - Lindsay R Clark
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine
| | - Joel Eppig
- San Diego Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego
| | - Madeleine L Werhane
- San Diego Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego
| | - Emily C Edmonds
- Research Service, Veterans Affairs San Diego Healthcare System
| | - Mark W Bondi
- Psychology Service, Veterans Affairs San Diego Healthcare System
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16
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Malek-Ahmadi M, Chen K, Perez SE, He A, Mufson EJ. Cognitive composite score association with Alzheimer's disease plaque and tangle pathology. ALZHEIMERS RESEARCH & THERAPY 2018; 10:90. [PMID: 30205840 PMCID: PMC6134796 DOI: 10.1186/s13195-018-0401-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 07/02/2018] [Indexed: 11/10/2022]
Abstract
BACKGROUND Cognitive composite scores are used as the primary outcome measures for Alzheimer's disease (AD) prevention trials; however, the extent to which these composite measures correlate with AD pathology has not been fully investigated. Since many on-going AD prevention studies are testing therapies that target either amyloid or tau, we sought to establish an association between a cognitive composite score and the underlying pathology of AD. METHODS Data from 192 older deceased and autopsied persons from the Rush Religious Order Study were used in this study. All participants were classified at their initial evaluations with a clinical diagnosis of no cognitive impairment (NCI). Of these individuals, 105 remained NCI at the time of their death while the remaining 87 progressed to mild cognitive impairment (MCI) or AD. A cognitive composite score composed of eight cognitive tests was used as the outcome measure. Individuals were classified into groups based on Consortium to Establish a Registry for Alzheimer's Disease (CERAD) neuropathological diagnosis and Braak stage. RESULTS The rate of annualized composite score decline was significantly greater for the high CERAD (p < 0.001, d = 0.56) and Braak (p < 0.001, d = 0.55) groups compared with the low CERAD and Braak groups, respectively. Mixed-model repeated measure (MMRM) analyses revealed a significantly greater difference in composite score change from baseline for the high CERAD group relative to the low CERAD group after 5 years (Δ = -2.74, 95% confidence interval (CI) -5.01 to -0.47; p = 0.02). A similar analysis between low and high Braak stage groups found no significant difference in change from baseline (Δ = -0.69, 95% CI -3.03 to 1.66; p = 0.56). CONCLUSIONS These data provide evidence that decreased cognitive composite scores were significantly associated with increased AD pathology and provide support for the use of cognitive composite scores in AD prevention trials.
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Affiliation(s)
| | - Kewei Chen
- Banner Alzheimer's Institute, 901 E. Willetta St, Phoenix, AZ, USA
| | - Sylvia E Perez
- Department of Neurobiology and Neurology, Barrow Neurological Institute, 350 W. Thomas Rd, Phoenix, AZ, 85013, USA
| | - Anna He
- Banner Alzheimer's Institute, 901 E. Willetta St, Phoenix, AZ, USA
| | - Elliott J Mufson
- Department of Neurobiology and Neurology, Barrow Neurological Institute, 350 W. Thomas Rd, Phoenix, AZ, 85013, USA.
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