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Michalowsky B, Engel L, Buchholz M, Weber N, Kohlmann T, Xie F. Health Fluctuations in Dementia and its Impact on the Assessment of Health-Related Quality of Life Using the EQ-5D-5L. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2024:S1098-3015(24)02342-8. [PMID: 38649092 DOI: 10.1016/j.jval.2024.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 02/21/2024] [Accepted: 04/03/2024] [Indexed: 04/25/2024]
Abstract
OBJECTIVES To quantify health fluctuations, identify affected health-related quality of life (HRQoL) dimensions, and evaluate if fluctuations affect the HRQoL instruments recall period adherence in people living with dementia (PlwD). METHODS Caregivers of PlwD completed a daily diary for 14 days, documenting if PlwD's health was better or worse than the day before and the affected HRQoL dimensions. Health fluctuation was categorized into low (0-4 fluctuations in 14 days), moderate (5-8), and high (9-14). Also, caregivers and PlwD completed the EQ-5D-5L (proxy- and self-reported) on days 1, 7, and 14. Subsequently, caregivers were interviewed to determine whether recurrent fluctuations were considered in the EQ-5D-5L assessment of today's health (recall period adherence). RESULTS Fluctuations were reported for 96% of PlwD, on average, for 7 of the 14 days. Dimensions most frequently triggering fluctuations included memory, mobility, concentration, sleep, pain, and usual activities. Fluctuations were associated with higher EQ-5D-5L health-states variation and nonadherence to the EQ-5D-5L recall period "today." PlwD with moderate to high fluctuation had the highest EQ-5D-5L utility change between day 1 and 14 (0.157 and 0.134) and recall period nonadherence (31% and 26%) compared with PlwD with low fluctuation (0.010; 17%). Recall period nonadherence was higher in PlwD with improved compared with those with deteriorated health in the diary (37% vs 9%). CONCLUSIONS Health fluctuations frequently occur in dementia and strongly affect HRQoL assessments. Further research is needed to evaluate if more extended recall periods and multiple, consecutive assessments could capture health fluctuations more appropriately in dementia.
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Affiliation(s)
- Bernhard Michalowsky
- German Center for Neurodegenerative Diseases (DZNE) Rostock/Greifswald, Patient-reported Outcomes & Health Economics Research, Greifswald, Germany.
| | - Lidia Engel
- Deakin University, Faculty of Health, Department School of Health and Social Development, Melbourne, Australia
| | - Maresa Buchholz
- German Center for Neurodegenerative Diseases (DZNE) Rostock/Greifswald, Patient-reported Outcomes & Health Economics Research, Greifswald, Germany
| | - Niklas Weber
- German Center for Neurodegenerative Diseases (DZNE) Rostock/Greifswald, Patient-reported Outcomes & Health Economics Research, Greifswald, Germany
| | - Thomas Kohlmann
- University Medicine Greifswald, Section Methods in Community Medicine, Greifswald, Germany
| | - Feng Xie
- McMaster University, Health Research Methods, Evidence and Impact, Hamilton, ON, Canada; Centre for Health Economics and Policy Analysis, McMaster University, Hamilton, ON, Canada
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Stroh A, Schweiger S, Ramirez JM, Tüscher O. The selfish network: how the brain preserves behavioral function through shifts in neuronal network state. Trends Neurosci 2024; 47:246-258. [PMID: 38485625 DOI: 10.1016/j.tins.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 01/31/2024] [Accepted: 02/19/2024] [Indexed: 04/12/2024]
Abstract
Neuronal networks possess the ability to regulate their activity states in response to disruptions. How and when neuronal networks turn from physiological into pathological states, leading to the manifestation of neuropsychiatric disorders, remains largely unknown. Here, we propose that neuronal networks intrinsically maintain network stability even at the cost of neuronal loss. Despite the new stable state being potentially maladaptive, neural networks may not reverse back to states associated with better long-term outcomes. These maladaptive states are often associated with hyperactive neurons, marking the starting point for activity-dependent neurodegeneration. Transitions between network states may occur rapidly, and in discrete steps rather than continuously, particularly in neurodegenerative disorders. The self-stabilizing, metastable, and noncontinuous characteristics of these network states can be mathematically described as attractors. Maladaptive attractors may represent a distinct pathophysiological entity that could serve as a target for new therapies and for fostering resilience.
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Affiliation(s)
- Albrecht Stroh
- Leibniz Institute for Resilience Research, Mainz, Germany; Institute of Pathophysiology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
| | - Susann Schweiger
- Leibniz Institute for Resilience Research, Mainz, Germany; Institute of Human Genetics, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany; Institute of Molecular Biology (IMB), Mainz, Germany
| | - Jan-Marino Ramirez
- Center for Integrative Brain Research at the Seattle Children's Research Institute, University of Washington, Seattle, USA
| | - Oliver Tüscher
- Leibniz Institute for Resilience Research, Mainz, Germany; Institute of Molecular Biology (IMB), Mainz, Germany; Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
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Blumberg MJ, Petersson AM, Jones PW, Jones AA, Panenka WJ, Leonova O, Vila-Rodriguez F, Lang DJ, Barr AM, MacEwan GW, Buchanan T, Honer WG, Gicas KM. Differential sensitivity of intraindividual variability dispersion and global cognition in the prediction of functional outcomes and mortality in precariously housed and homeless adults. Clin Neuropsychol 2024:1-24. [PMID: 38444068 DOI: 10.1080/13854046.2024.2325167] [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: 10/01/2023] [Accepted: 02/23/2024] [Indexed: 03/07/2024]
Abstract
OBJECTIVE To examine cognitive intraindividual variability (IIV) dispersion as a predictor of everyday functioning and mortality in persons who are homeless or precariously housed. METHOD Participants were 407 community-dwelling adults, followed for up to 13 years. Neurocognition was assessed at baseline and IIV dispersion was derived using a battery of standardized tests. Functional outcomes (social, physical) were obtained at baseline and last follow-up. Mortality was confirmed with Coroner's reports and hospital records (N = 103 deaths). Linear regressions were used to predict current social and physical functioning from IIV dispersion. Repeated measures Analysis of Covariance were used to predict long-term change in functioning. Cox regression models examined the relation between IIV dispersion and mortality. Covariates included global cognition (i.e. mean-level performance), age, education, and physical comorbidities. RESULTS Higher IIV dispersion predicted poorer current physical functioning (B = -0.46 p = .010), while higher global cognition predicted better current (B = 0.21, p = .015) and change in social functioning over a period of up to 13 years (F = 4.23, p = .040). Global cognition, but not IIV dispersion, predicted mortality in individuals under 55 years old (HR = 0.50, p = .013). CONCLUSIONS Our findings suggest that indices of neurocognitive functioning (i.e. IIV dispersion and global cognition) may be differentially related to discrete dimensions of functional outcomes in an at-risk population. IIV dispersion may be a complimentary marker of emergent physical health dysfunction in precariously housed adults and may be best used in conjunction with traditional neuropsychological indices.
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Affiliation(s)
| | - Anna M Petersson
- Department of Psychology, Simon Fraser University, Burnaby, Canada
| | - Paul W Jones
- Department of Psychology, Simon Fraser University, Burnaby, Canada
| | - Andrea A Jones
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - William J Panenka
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Olga Leonova
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | | | - Donna J Lang
- Department of Radiology, University of British Columbia, Vancouver, Canada
| | - Alasdair M Barr
- Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, Canada
| | - G William MacEwan
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Tari Buchanan
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - William G Honer
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Kristina M Gicas
- Department of Psychology, York University, Toronto, Canada
- Department of Psychology, University of the Fraser Valley, Abbotsford, Canada
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Kiselica AM, Kaser AN, Weitzner DS, Mikula CM, Boone A, Woods SP, Wolf TJ, Webber TA. Development and Validity of Norms for Cognitive Dispersion on the Uniform Data Set 3.0 Neuropsychological Battery. Arch Clin Neuropsychol 2024:acae005. [PMID: 38364295 DOI: 10.1093/arclin/acae005] [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: 05/16/2023] [Revised: 11/14/2023] [Accepted: 12/15/2023] [Indexed: 02/18/2024] Open
Abstract
OBJECTIVE Cognitive dispersion indexes intraindividual variability in performance across a battery of neuropsychological tests. Measures of dispersion show promise as markers of cognitive dyscontrol and everyday functioning difficulties; however, they have limited practical applicability due to a lack of normative data. This study aimed to develop and evaluate normed scores for cognitive dispersion among older adults. METHOD We analyzed data from 4,283 cognitively normal participants aged ≥50 years from the Uniform Data Set (UDS) 3.0. We describe methods for calculating intraindividual standard deviation (ISD) and coefficient of variation (CoV), as well as associated unadjusted scaled scores and demographically adjusted z-scores. We also examined the ability of ISD and CoV scores to differentiate between cognitively normal individuals (n = 4,283) and those with cognitive impairment due to Lewy body disease (n = 282). RESULTS We generated normative tables to map raw ISD and CoV scores onto a normal distribution of scaled scores. Cognitive dispersion indices were associated with age, education, and race/ethnicity but not sex. Regression equations were used to develop a freely accessible Excel calculator for deriving demographically adjusted normed scores for ISD and CoV. All measures of dispersion demonstrated excellent diagnostic utility when evaluated by the area under the curve produced from receiver operating characteristic curves. CONCLUSIONS Results of this study provide evidence for the clinical utility of sample-based and demographically adjusted normative standards for cognitive dispersion on the UDS 3.0. These standards can be used to guide interpretation of intraindividual variability among older adults in clinical and research settings.
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Affiliation(s)
- Andrew M Kiselica
- Department of Health Psychology, University of Missouri, Columbia, MO, USA
| | - Alyssa N Kaser
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Cynthia M Mikula
- Institute of Human Nutrition, Columbia University, New York, NY, USA
| | - Anna Boone
- Department of Occupational Therapy, University of Missouri, Columbia, MO, USA
| | | | - Timothy J Wolf
- Department of Occupational Therapy, University of Missouri, Columbia, MO, USA
| | - Troy A Webber
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
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Webber TA, Lorkiewicz SA, Kiselica AM, Woods SP. Ecological validity of cognitive fluctuations in dementia with Lewy bodies. J Int Neuropsychol Soc 2024; 30:35-46. [PMID: 37057867 PMCID: PMC10576013 DOI: 10.1017/s1355617723000255] [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: 04/15/2023]
Abstract
OBJECTIVES Cognitive fluctuations are a core clinical feature of dementia with Lewy bodies (DLB), but their contribution to the everyday functioning difficulties evident DLB are not well understood. The current study evaluated whether intraindividual variability across a battery of neurocognitive tests (intraindividual variability-dispersion) and daily cognitive fluctuations as measured by informant report are associated with worse daily functioning in DLB. METHODS The study sample included 97 participants with consensus-defined DLB from the National Alzheimer's Coordinating Center (NACC). Intraindividual variability-dispersion was measured using the coefficient of variation, which divides the standard deviation of an individual's performance scores across 12 normed neurocognitive indices from the NACC neuropsychological battery by that individual's performance mean. Informants reported on daily cognitive fluctuations using the Mayo Fluctuations Scale (MFS) and on daily functioning using the functional activities questionnaire (FAQ). RESULTS Logistic regression identified a large univariate association of intraindividual variability-dispersion and presence of daily cognitive fluctuations on the MFS (Odds Ratio = 73.27, 95% Confidence Interval = 1.38, 3,895.05). Multiple linear regression demonstrated that higher intraindividual variability-dispersion and presence of daily cognitive fluctuations as assessed by the MFS were significantly and independently related to worse daily functioning (FAQ scores). CONCLUSIONS Among those with DLB, informant-rated daily cognitive fluctuations and cognitive fluctuations measured in the clinic (as indexed by intraindividual variability-dispersion across a battery of tests) were independently associated with poorer everyday functioning. These data demonstrate ecological validity in measures of cognitive fluctuations in DLB.
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Affiliation(s)
- Troy A. Webber
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Department of Psychiatry/Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Sara A. Lorkiewicz
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, TX, USA
| | | | - Steven P. Woods
- Department of Psychology, University of Houston, Houston, TX, USA
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Mascarenhas Fonseca L, Sheppard DP, Chaytor NS. MoCA Intraindividual Cognitive Variability in Older Adults With Type 1 Diabetes. Alzheimer Dis Assoc Disord 2023; 37:152-155. [PMID: 36318594 DOI: 10.1097/wad.0000000000000534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 09/18/2022] [Indexed: 06/01/2023]
Abstract
Older adults with type 1 diabetes (T1D) may have an elevated risk of developing Alzheimer disease and related dementia. Higher intraindividual cognitive variability (IICV) has been proposed as a novel risk factor of Alzheimer disease and related dementia. Here, we examined the association between cross-domain IICV measured using the Montreal Cognitive Assessment (MoCA) and cognitive impairment measured using traditional neuropsychological tests in older individuals with T1D. Participants with T1D (N=201) completed both the MoCA and a battery of traditional neuropsychological tests. Participants with cognitive impairment, determined using traditional tests, had significantly higher IICV scores and significantly lower total MoCA scores ( P <0.001). However, the effect of the total score was greater than that of the IICV score on the likelihood of cognitive impairment (total odds ratio=3.50, IICV odds ratio=2.03, P <0.001). The MoCA total score performed better than the MoCA IICV score in identifying T1D individuals classified with cognitive impairment.
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Affiliation(s)
- Luciana Mascarenhas Fonseca
- Department of Community and Behavioral Health, Elson S. Floyd College of Medicine, Washington State University, Spokane
- Old Age Research Group, Department and Institute of Psychiatry, Hospital das Clínicas, University of São Paulo School of Medicine, São Paulo, Brazil
| | - David P Sheppard
- Veterans Affairs Northwest Mental Illness, Research, Education, and Clinical Care, Veterans Affairs Puget Sound Health Care System, Seattle, WA
| | - Naomi S Chaytor
- Department of Community and Behavioral Health, Elson S. Floyd College of Medicine, Washington State University, Spokane
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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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Gao F, Luo J, Liu J, Wan F, Wang G, Gordon M, Xiong C. Comparing statistical methods in assessing the prognostic effect of biomarker variability on time-to-event clinical outcomes. BMC Med Res Methodol 2022; 22:201. [PMID: 35869438 PMCID: PMC9308219 DOI: 10.1186/s12874-022-01686-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 07/11/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
In recent years there is increasing interest in modeling the effect of early longitudinal biomarker data on future time-to-event or other outcomes. Sometimes investigators are also interested in knowing whether the variability of biomarkers is independently predictive of clinical outcomes. This question in most applications is addressed via a two-stage approach where summary statistics such as variance are calculated in the first stage and then used in models as covariates to predict clinical outcome in the second stage. The objective of this study is to compare the relative performance of various methods in estimating the effect of biomarker variability.
Methods
A joint model and 4 different two-stage approaches (naïve, landmark analysis, time-dependent Cox model, and regression calibration) were illustrated using data from a large multi-center randomized phase III trial, the Ocular Hypertension Treatment Study (OHTS), regarding the association between the variability of intraocular pressure (IOP) and the development of primary open-angle glaucoma (POAG). The model performance was also evaluated in terms of bias using simulated data from the joint model of longitudinal IOP and time to POAG. The parameters for simulation were chosen after OHTS data, and the association between longitudinal and survival data was introduced via underlying, unobserved, and error-free parameters including subject-specific variance.
Results
In the OHTS data, joint modeling and two-stage methods reached consistent conclusion that IOP variability showed no significant association with the risk of POAG. In the simulated data with no association between IOP variability and time-to-POAG, all the two-stage methods (except the naïve approach) provided a reliable estimation. When a moderate effect of IOP variability on POAG was imposed, all the two-stage methods underestimated the true association as compared with the joint modeling while the model-based two-stage method (regression calibration) resulted in the least bias.
Conclusion
Regression calibration and joint modelling are the preferred methods in assessing the effect of biomarker variability. Two-stage methods with sample-based measures should be used with caution unless there exists a relatively long series of longitudinal measurements and/or strong effect size (NCT00000125).
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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: 1] [Impact Index Per Article: 0.5] [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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Hackett K, Giovannetti T. Capturing Cognitive Aging in Vivo: Application of a Neuropsychological Framework for Emerging Digital Tools. JMIR Aging 2022; 5:e38130. [PMID: 36069747 PMCID: PMC9494215 DOI: 10.2196/38130] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 07/19/2022] [Accepted: 07/31/2022] [Indexed: 11/13/2022] Open
Abstract
As the global burden of dementia continues to plague our healthcare systems, efficient, objective, and sensitive tools to detect neurodegenerative disease and capture meaningful changes in everyday cognition are increasingly needed. Emerging digital tools present a promising option to address many drawbacks of current approaches, with contexts of use that include early detection, risk stratification, prognosis, and outcome measurement. However, conceptual models to guide hypotheses and interpretation of results from digital tools are lacking and are needed to sort and organize the large amount of continuous data from a variety of sensors. In this viewpoint, we propose a neuropsychological framework for use alongside a key emerging approach—digital phenotyping. The Variability in Everyday Behavior (VIBE) model is rooted in established trends from the neuropsychology, neurology, rehabilitation psychology, cognitive neuroscience, and computer science literature and links patterns of intraindividual variability, cognitive abilities, and everyday functioning across clinical stages from healthy to dementia. Based on the VIBE model, we present testable hypotheses to guide the design and interpretation of digital phenotyping studies that capture everyday cognition in vivo. We conclude with methodological considerations and future directions regarding the application of the digital phenotyping approach to improve the efficiency, accessibility, accuracy, and ecological validity of cognitive assessment in older adults.
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Affiliation(s)
- Katherine Hackett
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States
| | - Tania Giovannetti
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States
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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: 1] [Impact Index Per Article: 0.5] [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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Veitch DP, Weiner MW, Aisen PS, Beckett LA, DeCarli C, Green RC, Harvey D, Jack CR, Jagust W, Landau SM, Morris JC, Okonkwo O, Perrin RJ, Petersen RC, Rivera‐Mindt M, Saykin AJ, Shaw LM, Toga AW, Tosun D, Trojanowski JQ. Using the Alzheimer's Disease Neuroimaging Initiative to improve early detection, diagnosis, and treatment of Alzheimer's disease. Alzheimers Dement 2022; 18:824-857. [PMID: 34581485 PMCID: PMC9158456 DOI: 10.1002/alz.12422] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 06/08/2021] [Accepted: 06/09/2021] [Indexed: 02/06/2023]
Abstract
INTRODUCTION The Alzheimer's Disease Neuroimaging Initiative (ADNI) has accumulated 15 years of clinical, neuroimaging, cognitive, biofluid biomarker and genetic data, and biofluid samples available to researchers, resulting in more than 3500 publications. This review covers studies from 2018 to 2020. METHODS We identified 1442 publications using ADNI data by conventional search methods and selected impactful studies for inclusion. RESULTS Disease progression studies supported pivotal roles for regional amyloid beta (Aβ) and tau deposition, and identified underlying genetic contributions to Alzheimer's disease (AD). Vascular disease, immune response, inflammation, resilience, and sex modulated disease course. Biologically coherent subgroups were identified at all clinical stages. Practical algorithms and methodological changes improved determination of Aβ status. Plasma Aβ, phosphorylated tau181, and neurofilament light were promising noninvasive biomarkers. Prognostic and diagnostic models were externally validated in ADNI but studies are limited by lack of ethnocultural cohort diversity. DISCUSSION ADNI has had a profound impact in improving clinical trials for AD.
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Affiliation(s)
- Dallas P. Veitch
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA,Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Michael W. Weiner
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA,Department of RadiologyUniversity of California, San FranciscoSan FranciscoCaliforniaUSA,Department of MedicineUniversity of California, San FranciscoSan FranciscoCaliforniaUSA,Department of PsychiatryUniversity of California, San FranciscoSan FranciscoCaliforniaUSA,Department of NeurologyUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Paul S. Aisen
- Alzheimer's Therapeutic Research InstituteUniversity of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Laurel A. Beckett
- Division of Biostatistics, Department of Public Health SciencesUniversity of California DavisDavisCaliforniaUSA
| | - Charles DeCarli
- Department of Neurology and Center for NeuroscienceUniversity of California DavisDavisCaliforniaUSA
| | - Robert C. Green
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Broad Institute, Ariadne Labsand Harvard Medical SchoolBostonMassachusettsUSA
| | - Danielle Harvey
- Division of Biostatistics, Department of Public Health SciencesUniversity of California DavisDavisCaliforniaUSA
| | | | - William Jagust
- Helen Wills Neuroscience InstituteUniversity of California BerkeleyBerkeleyCaliforniaUSA
| | - Susan M. Landau
- Helen Wills Neuroscience InstituteUniversity of California BerkeleyBerkeleyCaliforniaUSA
| | - John C. Morris
- Knight Alzheimer's Disease Research CenterWashington University School of MedicineSaint LouisMissouriUSA
| | - Ozioma Okonkwo
- Wisconsin Alzheimer's Disease Research Center and Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Richard J. Perrin
- Knight Alzheimer's Disease Research CenterWashington University School of MedicineSaint LouisMissouriUSA,Department of NeurologyWashington University School of MedicineSaint LouisMissouriUSA,Department of Pathology and ImmunologyWashington University School of MedicineSaint LouisMissouriUSA
| | | | | | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences and Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisIndianaUSA,Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Research, School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Arthur W. Toga
- Laboratory of Neuroimaging, USC Stevens Institute of Neuroimaging and Informatics, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Duygu Tosun
- Department of RadiologyUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - John Q. Trojanowski
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Research, School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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13
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Ghezzi ES, Ross TJ, Sharman R, Davis D, Boord MS, Thanabalan T, Thomas J, Keage HAD. The neuropsychological profile of delirium vulnerability: A systematic review and meta-analysis. Neurosci Biobehav Rev 2021; 132:248-259. [PMID: 34863781 DOI: 10.1016/j.neubiorev.2021.11.046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 11/29/2021] [Accepted: 11/30/2021] [Indexed: 12/17/2022]
Abstract
Delirium is a common neurocognitive disorder in hospitalised older adults with substantial negative consequences. Impaired global cognition is a well-established delirium risk factor. However, poor performance on attention tests and higher intra-subject variability may be more sensitive delirium risk factors, given the disorder is characterised by a fluctuating course and attentional deficits. We systematically searched databases (Embase, PsycINFO, MEDLINE) and 44 studies satisfied inclusion criteria. Random-effects meta-analysis models showed poor performance in all cognitive domains except perception was significantly associated with incident delirium. Largest effects were for orientation (g=-1.20) and construction and motor performance (g=-0.60). These effects were no longer significant in the subgroup without pre-existing cognitive impairment, where executive functions and verbal functions and language skills were associated with incident delirium. A small, non-significant association between intra-subject variability and incident delirium was found (g=0.42). Cognitive domain specific tests may be quicker and more sensitive predictors of incident delirium. This pattern of neuropsychological findings supports the proposition that vulnerability for delirium manifests as a dysfunction of whole-brain information integration.
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Affiliation(s)
- Erica S Ghezzi
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, Australia.
| | - Tyler J Ross
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, Australia
| | - Rhianna Sharman
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, Australia
| | - Daniel Davis
- MRC Unit for Lifelong Health and Ageing Unit at UCL, London, United Kingdom
| | - Monique S Boord
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, Australia
| | - Thivina Thanabalan
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, Australia
| | - Jessica Thomas
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, Australia
| | - Hannah A D Keage
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, Australia
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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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15
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Watermeyer T, Massa F, Goerdten J, Stirland L, Johansson B, Muniz-Terrera G. Cognitive Dispersion Predicts Grip Strength Trajectories in Men but not Women in a Sample of the Oldest Old Without Dementia. Innov Aging 2021; 5:igab025. [PMID: 34549095 PMCID: PMC8448440 DOI: 10.1093/geroni/igab025] [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: 02/04/2021] [Indexed: 11/14/2022] Open
Abstract
Background and Objectives Grip strength is a reliable marker of biological vitality and it typically demonstrates an expected decline in older adults. According to the common-cause hypothesis, there is also a significant association between cognitive and physical function in older adults. Some specific cognitive functions have been shown to be associated with grip strength trajectories with most research solely focused on cutoff points or mean cognitive performance. In the present study, we examine whether a measure of cognitive dispersion might be more informative. We therefore used an index that quantifies dispersion in cognitive scores across multiple cognitive tests, shown to be associated with detrimental outcomes in older adults. Research Design and Methods Using repeated grip strength measures from men and women aged 80 and older, free of dementia in the OCTO-Twin study, we estimated aging-related grip strength trajectories. We examined the association of cognitive dispersion and mean cognitive function with grip strength level and aging-related rate of change, accounting for known risk factors. Results Cognitive dispersion was associated with grip strength trajectories in men and the association varied by mean cognitive performance, whereas we found no association in women. Discussion and Implications Our results provide evidence of a sex-specific vitality association between cognitive dispersion and aging-related trajectories of grip strength. Our results support the call for integration of sex and gender in health promotion and intervention research.
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Affiliation(s)
- Tamlyn Watermeyer
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,Department of Psychology, Faculty of Health & Life Sciences, Northumbria University, Newcastle, UK
| | - Fernando Massa
- Instituto de Estadistica, Universidad de la Republica del Uruguay, Montevideo, Uruguay
| | - Jantje Goerdten
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
| | - Lucy Stirland
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Boo Johansson
- Department of Psychology & Centre for Ageing and Health (AgeCap), University of Gothenburg, Goethenburg, Sweden
| | - Graciela Muniz-Terrera
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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16
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Cremona S, Zago L, Mellet E, Petit L, Laurent A, Pepe A, Tsuchida A, Beguedou N, Joliot M, Tzourio C, Mazoyer B, Crivello F. Novel characterization of the relationship between verbal list-learning outcomes and hippocampal subfields in healthy adults. Hum Brain Mapp 2021; 42:5264-5277. [PMID: 34453474 PMCID: PMC8519870 DOI: 10.1002/hbm.25614] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/29/2021] [Accepted: 07/20/2021] [Indexed: 11/10/2022] Open
Abstract
The relationship between hippocampal subfield volumetry and verbal list‐learning test outcomes have mostly been studied in clinical and elderly populations, and remain controversial. For the first time, we characterized a relationship between verbal list‐learning test outcomes and hippocampal subfield volumetry on two large separate datasets of 447 and 1,442 healthy young and middle‐aged adults, and explored the processes that could explain this relationship. We observed a replicable positive linear correlation between verbal list‐learning test free recall scores and CA1 volume, specific to verbal list learning as demonstrated by the hippocampal subfield volumetry independence from verbal intelligence. Learning meaningless items was also positively correlated with CA1 volume, pointing to the role of the test design rather than word meaning. Accordingly, we found that association‐based mnemonics mediated the relationship between verbal list‐learning test outcomes and CA1 volume. This mediation suggests that integrating items into associative representations during verbal list‐learning tests explains CA1 volume variations: this new explanation is consistent with the associative functions of the human CA1.
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Affiliation(s)
- Sandrine Cremona
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Laure Zago
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Emmanuel Mellet
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Laurent Petit
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Alexandre Laurent
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Antonietta Pepe
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Ami Tsuchida
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Naka Beguedou
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Marc Joliot
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Christophe Tzourio
- Université de Bordeaux - Département Santé publique, INSERM, BPH U 1219, Bordeaux, France
| | - Bernard Mazoyer
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France.,Institut des maladies neurodégénératives clinique, CHU de Bordeaux, Bordeaux, France
| | - Fabrice Crivello
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
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17
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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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18
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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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19
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Martínez-Florez JF, Osorio JD, Cediel JC, Rivas JC, Granados-Sánchez AM, López-Peláez J, Jaramillo T, Cardona JF. Short-Term Memory Binding Distinguishing Amnestic Mild Cognitive Impairment from Healthy Aging: A Machine Learning Study. J Alzheimers Dis 2021; 81:729-742. [PMID: 33814438 DOI: 10.3233/jad-201447] [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] [Indexed: 01/10/2023]
Abstract
BACKGROUND Amnestic mild cognitive impairment (aMCI) is the most common preclinical stage of Alzheimer's disease (AD). A strategy to reduce the impact of AD is the early aMCI diagnosis and clinical intervention. Neuroimaging, neurobiological, and genetic markers have proved to be sensitive and specific for the early diagnosis of AD. However, the high cost of these procedures is prohibitive in low-income and middle-income countries (LIMCs). The neuropsychological assessments currently aim to identify cognitive markers that could contribute to the early diagnosis of dementia. OBJECTIVE Compare machine learning (ML) architectures classifying and predicting aMCI and asset the contribution of cognitive measures including binding function in distinction and prediction of aMCI. METHODS We conducted a two-year follow-up assessment of a sample of 154 subjects with a comprehensive multidomain neuropsychological battery. Statistical analysis was proposed using complete ML architectures to compare subjects' performance to classify and predict aMCI. Additionally, permutation importance and Shapley additive explanations (SHAP) routines were implemented for feature importance selection. RESULTS AdaBoost, gradient boosting, and XGBoost had the highest performance with over 80%success classifying aMCI, and decision tree and random forest had the highest performance with over 70%success predictive routines. Feature importance points, the auditory verbal learning test, short-term memory binding tasks, and verbal and category fluency tasks were used as variables with the first grade of importance to distinguish healthy cognition and aMCI. CONCLUSION Although neuropsychological measures do not replace biomarkers' utility, it is a relatively sensitive and specific diagnostic tool for aMCI. Further studies with ML must identify cognitive performance that differentiates conversion from average MCI to the pathological MCI observed in AD.
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Affiliation(s)
| | - Juan D Osorio
- Instituto de Psicología, Universidad del Valle, Santiago de Cali, Colombia
| | - Judith C Cediel
- Instituto de Psicología, Universidad del Valle, Santiago de Cali, Colombia.,Departamento de Estudios Psicológicos, Facultad de Derecho y Ciencias Sociales, Universidad ICESI , Santiago de Cali, Colombia
| | - Juan C Rivas
- Departamento de Psiquiatría, Facultad de Salud, Universidad del Valle, Santiago de Cali, Colombia.,Hospital Departamental Psiquiátrico Universitario del Valle, Santiago de Cali, Colombia.,Departamento de Psiquiatría, Fundación Valle del Lili, Santiago de Cali, Colombia
| | - Ana M Granados-Sánchez
- Departamento de Imágenes Diagnósticas, Fundación Valle del Lili, Santiago de Cali, Colombia
| | | | - Tania Jaramillo
- Instituto de Psicología, Universidad del Valle, Santiago de Cali, Colombia
| | - Juan F Cardona
- Instituto de Psicología, Universidad del Valle, Santiago de Cali, Colombia
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20
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Moore RC, Paolillo EW, Sundermann EE, Campbell LM, Delgadillo J, Heaton A, Swendsen J, Depp CA. Validation of the mobile verbal learning test: Illustration of its use for age and disease-related cognitive deficits. Int J Methods Psychiatr Res 2021; 30:e1859. [PMID: 33159488 PMCID: PMC7992286 DOI: 10.1002/mpr.1859] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 09/30/2020] [Accepted: 10/06/2020] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVE We developed a mobile cognitive test of verbal learning and memory, the mobile verbal learning test (mVLT), to allow for brief, repeated and portable delivery of a 12-item list learning test through a smartphone. This study examined the psychometric properties of the mVLT among older persons with and without human immunodeficiency virus (HIV). METHODS Sixty-eight persons with HIV and 36 HIV-negative individuals (aged 50-74) completed three trials of the mVLT on a smartphone once daily for 14 days. A different word list was administered each day. RESULTS Participants completed 80% of the 14 mVLT administrations, equating to 1166 valid and complete mVLTs. Neither adherence nor mean mVLT total score (number correct in 3 recall trials) differed by HIV status. No practice effects from repeated mVLT administration were observed, and there were moderately strong correlations of mVLT performance with performance on the in-lab version of the task and with traditional cognitive assessments of cognitive processes contributing to memory. We found evidence of within-person learning across mVLT trials, with persons with HIV demonstrating less learning from trials 1 to 3 compared to HIV-negative participants. CONCLUSIONS The mVLT is a valid method to assess learning in the real world in older adults with and without HIV.
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Affiliation(s)
- Raeanne C Moore
- Department of Psychiatry, University of California San Diego, San Diego, California, USA
| | - Emily W Paolillo
- Department of Psychiatry, University of California San Diego, San Diego, California, USA.,SDSU/UC San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California, USA
| | - Erin E Sundermann
- Department of Psychiatry, University of California San Diego, San Diego, California, USA
| | - Laura M Campbell
- Department of Psychiatry, University of California San Diego, San Diego, California, USA.,SDSU/UC San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California, USA
| | - Jeremy Delgadillo
- Advancing Diversity in Aging Research (ADAR) Program, San Diego State University, San Diego, California, USA
| | - Anne Heaton
- Department of Psychiatry, University of California San Diego, San Diego, California, USA
| | - Joel Swendsen
- National Center for Scientific Research, University of Bordeaux, EPHE PSL Research University, Bordeaux, France
| | - Colin A Depp
- Department of Psychiatry, University of California San Diego, San Diego, California, USA.,VA San Diego Healthcare System, San Diego, California, USA
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21
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Loss of Consciousness is Associated with Elevated Cognitive Intra-Individual Variability Following Sports-Related Concussion. J Int Neuropsychol Soc 2021; 27:197-203. [PMID: 32772944 DOI: 10.1017/s1355617720000727] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The purpose of this study was to evaluate whether loss of consciousness (LOC), retrograde amnesia (RA), and anterograde amnesia (AA) independently influence a particular aspect of post-concussion cognitive functioning-across-test intra-individual variability (IIV), or cognitive dispersion. METHOD Concussed athletes (N = 111) were evaluated, on average, 6.04 days post-injury (SD = 5.90; Mdn = 4 days; Range = 1-26 days) via clinical interview and neuropsychological assessment. Primary outcomes of interest included two measures of IIV-an intra-individual standard deviation (ISD) score and a maximum discrepancy (MD) score-computed from 18 norm-referenced variables. RESULTS Analyses of covariance (ANCOVAs) adjusting for time since injury and sex revealed a significant effect of LOC on the ISD (p = .018, ηp2 = .051) and MD (p = .034, ηp2 = .041) scores, such that athletes with LOC displayed significantly greater IIV than athletes without LOC. In contrast, measures of IIV did not significantly differ between athletes who did and did not experience RA or AA (all p > .05). CONCLUSIONS LOC, but not RA or AA, was associated with greater variability, or inconsistencies, in cognitive performance acutely following concussion. Though future studies are needed to verify the clinical significance of these findings, our results suggest that LOC may contribute to post-concussion cognitive dysfunction and may be a risk factor for less efficient cognitive functioning.
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22
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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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23
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Thomas KR, Bangen KJ, Weigand AJ, Edmonds EC, Wong CG, Cooper S, Delano-Wood L, Bondi MW. Objective subtle cognitive difficulties predict future amyloid accumulation and neurodegeneration. Neurology 2020; 94:e397-e406. [PMID: 31888974 PMCID: PMC7079691 DOI: 10.1212/wnl.0000000000008838] [Citation(s) in RCA: 87] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 08/16/2019] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVE To determine the temporal sequence of objectively defined subtle cognitive difficulties (Obj-SCD) in relation to amyloidosis and neurodegeneration, the current study examined the trajectories of amyloid PET and medial temporal neurodegeneration in participants with Obj-SCD relative to cognitively normal (CN) and mild cognitive impairment (MCI) groups. METHOD A total of 747 Alzheimer's Disease Neuroimaging Initiative participants (305 CN, 153 Obj-SCD, 289 MCI) underwent neuropsychological testing and serial amyloid PET and structural MRI examinations. Linear mixed effects models examined 4-year rate of change in cortical 18F-florbetapir PET, entorhinal cortex thickness, and hippocampal volume in those classified as Obj-SCD and MCI relative to CN. RESULT Amyloid accumulation was faster in the Obj-SCD group than in the CN group; the MCI and CN groups did not significantly differ from each other. The Obj-SCD and MCI groups both demonstrated faster entorhinal cortical thinning relative to the CN group; only the MCI group exhibited faster hippocampal atrophy than CN participants. CONCLUSION Relative to CN participants, Obj-SCD was associated with faster amyloid accumulation and selective vulnerability of entorhinal cortical thinning, whereas MCI was associated with faster entorhinal and hippocampal atrophy. Findings suggest that Obj-SCD, operationally defined using sensitive neuropsychological measures, can be identified prior to or during the preclinical stage of amyloid deposition. Further, consistent with the Braak neurofibrillary staging scheme, Obj-SCD status may track with early entorhinal pathologic changes, whereas MCI may track with more widespread medial temporal change. Thus, Obj-SCD may be a sensitive and noninvasive predictor of encroaching amyloidosis and neurodegeneration, prior to frank cognitive impairment associated with MCI.
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Affiliation(s)
- Kelsey R Thomas
- From Veterans Affairs San Diego Healthcare System (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.); Department of Psychiatry (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.), University of California, San Diego, School of Medicine, La Jolla; and San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology (A.J.W.)
| | - Katherine J Bangen
- From Veterans Affairs San Diego Healthcare System (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.); Department of Psychiatry (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.), University of California, San Diego, School of Medicine, La Jolla; and San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology (A.J.W.)
| | - Alexandra J Weigand
- From Veterans Affairs San Diego Healthcare System (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.); Department of Psychiatry (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.), University of California, San Diego, School of Medicine, La Jolla; and San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology (A.J.W.)
| | - Emily C Edmonds
- From Veterans Affairs San Diego Healthcare System (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.); Department of Psychiatry (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.), University of California, San Diego, School of Medicine, La Jolla; and San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology (A.J.W.)
| | - Christina G Wong
- From Veterans Affairs San Diego Healthcare System (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.); Department of Psychiatry (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.), University of California, San Diego, School of Medicine, La Jolla; and San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology (A.J.W.)
| | - Shanna Cooper
- From Veterans Affairs San Diego Healthcare System (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.); Department of Psychiatry (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.), University of California, San Diego, School of Medicine, La Jolla; and San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology (A.J.W.)
| | - Lisa Delano-Wood
- From Veterans Affairs San Diego Healthcare System (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.); Department of Psychiatry (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.), University of California, San Diego, School of Medicine, La Jolla; and San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology (A.J.W.)
| | - Mark W Bondi
- From Veterans Affairs San Diego Healthcare System (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.); Department of Psychiatry (K.R.T., K.J.B., A.J.W., E.C.E., C.G.W., S.C., L.D.-W., M.W.B.), University of California, San Diego, School of Medicine, La Jolla; and San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology (A.J.W.).
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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: 25] [Impact Index Per Article: 5.0] [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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Characterizing the Effects of Sex, APOE ɛ4, and Literacy on Mid-life Cognitive Trajectories: Application of Information-Theoretic Model Averaging and Multi-model Inference Techniques to the Wisconsin Registry for Alzheimer's Prevention Study. J Int Neuropsychol Soc 2019; 25:119-133. [PMID: 30522545 PMCID: PMC6374172 DOI: 10.1017/s1355617718000954] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVES Prior research has identified numerous genetic (including sex), education, health, and lifestyle factors that predict cognitive decline. Traditional model selection approaches (e.g., backward or stepwise selection) attempt to find one model that best fits the observed data, risking interpretations that only the selected predictors are important. In reality, several predictor combinations may fit similarly well but result in different conclusions (e.g., about size and significance of parameter estimates). In this study, we describe an alternative method, Information-Theoretic (IT) model averaging, and apply it to characterize a set of complex interactions in a longitudinal study on cognitive decline. METHODS Here, we used longitudinal cognitive data from 1256 late-middle aged adults from the Wisconsin Registry for Alzheimer's Prevention study to examine the effects of sex, apolipoprotein E (APOE) ɛ4 allele (non-modifiable factors), and literacy achievement (modifiable) on cognitive decline. For each outcome, we applied IT model averaging to a set of models with different combinations of interactions among sex, APOE, literacy, and age. RESULTS For a list-learning test, model-averaged results showed better performance for women versus men, with faster decline among men; increased literacy was associated with better performance, particularly among men. APOE had less of an association with cognitive performance in this age range (∼40-70 years). CONCLUSIONS These results illustrate the utility of the IT approach and point to literacy as a potential modifier of cognitive decline. Whether the protective effect of literacy is due to educational attainment or intrinsic verbal intellectual ability is the topic of ongoing work. (JINS, 2019, 25, 119-133).
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Costa AS, Dogan I, Schulz JB, Reetz K. Going beyond the mean: Intraindividual variability of cognitive performance in prodromal and early neurodegenerative disorders. Clin Neuropsychol 2019; 33:369-389. [PMID: 30663511 DOI: 10.1080/13854046.2018.1533587] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Intraindividual variability (IIV), generally defined as short-term variations in behavior, has been proposed as a sign of subtle early impairment in neurodegenerative disorders, presumably associated with the disintegration of neuronal network connectivity. We aim to provide a review of IIV as a sensitive cognitive marker in prodromal neurodegenerative disorders. METHOD A narrative review focusing not only on theoretical and methodological definitions, including an overview on the neural correlates of IIV, but mainly on results from population-based and clinical-based studies on the role of IIV as a reliable predictor of mild cognitive impairment (MCI) and conversion to dementia in neurodegenerative disorders, mostly Alzheimer's and Parkinson's disease. RESULTS Most studies focus on MCI and Alzheimer's disease and demonstrate that IIV is a reliable cognitive marker. IIV is partly more sensitive than mean performance in the prediction of cognitive impairment or progressive deterioration and is independent of socio-demographic variables and disease mediators (e.g., genetic susceptibility). Neuroimaging data, mostly from healthy subjects, suggest a relationship between IIV and dysfunction of the default mode network, presumably mediated by white matter disintegration in frontal and parietal areas. CONCLUSIONS IIV measures may provide valuable information about diagnosis and progression in prodromal stages of neurodegenerative disorders. Thus, further conceptual and methodological clarifications are needed to justify the inclusion of IIV as a sensible cognitive marker in routine clinical neuropsychological assessment.
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Affiliation(s)
- Ana Sofia Costa
- a Neurocognition Unit, Department of Neurology , Hospital de Braga , Braga , Portugal.,b Department of Neurology , RWTH Aachen University , Aachen , Germany.,c JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University , Aachen , Germany
| | - Imis Dogan
- b Department of Neurology , RWTH Aachen University , Aachen , Germany.,c JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University , Aachen , Germany
| | - Jörg B Schulz
- b Department of Neurology , RWTH Aachen University , Aachen , Germany.,c JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University , Aachen , Germany
| | - Kathrin Reetz
- b Department of Neurology , RWTH Aachen University , Aachen , Germany.,c JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University , Aachen , Germany
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