scholarly journals Association of β-Amyloid Accumulation With Executive Function in Adults With Unimpaired Cognition

Neurology ◽  
2022 ◽  
pp. 10.1212/WNL.0000000000013299
Author(s):  
Pontus Tideman ◽  
Erik Stomrud ◽  
Antoine Leuzy ◽  
Niklas Mattsson-Carlgren ◽  
Sebastian Palmqvist ◽  
...  

Background and Objectives:The neuropathological changes underlying Alzheimer´s disease (AD) start before overt cognitive symptoms arise, but it is not well-known how they relate to the first subtle cognitive changes. The objective for this study was to examine the independent associations of the AD hallmarks β-amyloid (Aβ), tau, and neurodegeneration with different cognitive domains in cognitively unimpaired (CU) individuals.Methods:In this cross-sectional study, CU participants from the prospective BioFINDER-2 study were included. All had CSF biomarkers (Aβ42 and P-tau181), MRI (cortical thickness of AD-susceptible regions), Aβ-PET (neocortical uptake), tau-PET (entorhinal uptake), and cognitive test data for i) memory, ii) executive function, iii) verbal function, iv), and visuospatial function. Multivariable linear regression models were performed, using either CSF Aβ42, P-tau181 and cortical thickness or Aβ-PET, tau-PET, and cortical thickness, as predictors of cognitive function. The results were validated in an independent cohort (ADNI).Results:316 CU participants were included from the BioFINDER-2 study. Abnormal Aβ-status was independently associated with the executive measure, regardless of modality (CSF Aβ42 β=0.128, p=0.024; Aβ-PET β=0.124, p=0.049), while tau was independently associated with memory (CSF P-tau181 β=0.132, p=0.018; tau-PET β=0.189, p=0.002). Cortical thickness was independently associated with the executive measure and verbal fluency in both models (p=0.005-0.018). To examine the relationships in the earliest stage of preclinical AD, only participants with normal biomarkers of tau and neurodegeneration were included (n=217 CSF-based; n=246 PET-based). Again, Aβ-status was associated with executive function (CSF Aβ42, β=0.189, p=0.005; Aβ-PET, β=0.146, p=0.023), but not with other cognitive domains. The results were overall replicated in the ADNI cohort (n=361).Discussion:These findings suggest that Aβ is independently associated with worse performance on an executive measure but not with memory performance, which instead is associated with tau pathology. This may have implications for early preclinical AD screening and outcome measures in AD trials targeting Aβ pathology.

Neurology ◽  
2020 ◽  
Vol 95 (19) ◽  
pp. e2648-e2657 ◽  
Author(s):  
Juhan Reimand ◽  
Lyduine Collij ◽  
Philip Scheltens ◽  
Femke Bouwman ◽  
Rik Ossenkoppele ◽  
...  

ObjectiveTo investigate the association between discordant β-amyloid (Aβ) PET and CSF biomarkers at baseline and the emergence of tau pathology 5 years later.MethodsWe included 730 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants without dementia (282 cognitively normal, 448 mild cognitive impairment) with baseline [18F]florbetapir PET and CSF Aβ42 available. Aβ CSF/PET status was determined at baseline using established cutoffs. Longitudinal data were available for [18F]florbetapir (Aβ) PET (baseline to 4.3 ± 1.9 years), CSF (p)tau (baseline to 2.0 ± 0.1 years), cognition (baseline to 4.3 ± 2.0 years), and [18F]flortaucipir (tau) PET (measured 5.2 ± 1.2 years after baseline to 1.6 ± 0.7 years later). We used linear mixed modeling to study the association between Aβ CSF/PET status and tau pathology measured in CSF or using PET. We calculated the proportion of CSF+/PET− participants who during follow-up (1) progressed to Aβ CSF+/PET+ or (2) became tau-positive based on [18F]flortaucipir PET.ResultsAβ CSF+/PET+ (n = 318) participants had elevated CSF (p)tau levels and worse cognitive performance at baseline, while CSF+/PET− (n = 80) participants were overall similar to the CSF−/PET− (N = 306) group. Five years after baseline, [18F]flortaucipir PET uptake in the CSF+/PET− group (1.20 ± 0.13) did not differ from CSF−/PET− (1.18 ± 0.08, p = 0.69), but was substantially lower than CSF+/PET+ (1.48 ± 0.44, p < 0.001). Of the CSF+/PET− participants, 21/64 (33%) progressed to Aβ CSF+/PET+, whereas only one (3%, difference p < 0.05) became tau-positive based on [18F]flortaucipir PET.ConclusionsAβ load detectable by both CSF and PET seems to precede substantial tau deposition. Compared to participants with abnormal Aβ levels on both PET and CSF, the CSF+/PET− group has a distinctly better prognosis.


2009 ◽  
Vol 21 (1-2) ◽  
pp. 29-37 ◽  
Author(s):  
Mark W. Jacobson ◽  
Linda K. McEvoy ◽  
Anders Dale ◽  
Christine Fennema-Notestine

Identifying a preclinical phase of Alzheimer’s Disease (PCAD) that is distinct from cognitive changes in healthy aging continues to be a major research focus. Combining neuropsychological and neuroimaging methodologies should improve our ability to differentiate healthy from pathological aging, although studies that utilize both methods often result in equivocal findings, possibly due to variability in cognitive test performance that may be capturing distinct phenotypes. One method of capturing this cognitive variability is to utilize contrasting neuropsychological tests to identify subgroups representative of distinct cognitive phenotypes, and determine whether differences in brain morphometry support these classifications. We review several approaches to defining cognitive subgroups, and we consider the possibility that cognitive asymmetry might provide one means of identifying both functional and structural changes associated with aging and dementia.


2020 ◽  
pp. 089198872094423
Author(s):  
Romel Ibarra ◽  
Marcia Radanovic ◽  
Marcos V. Pais ◽  
Leda L. Talib ◽  
Orestes V. Forlenza

Aim: Associations between cerebrospinal fluid (CSF) biomarkers of Alzheimer’s disease (AD) with the severity of cognitive impairment are unclear. We examined the correlations between CSF biomarkers and cognitive performance in the AD continuum. Methods: We studied 143 elderly patients: cognitively unimpaired (n = 51), mild cognitive impairment (MCI) amnestic (n = 55) and nonamnestic (n = 20), and mild AD (n = 17) assessed with the Cambridge Cognitive Test (CAMCOG). We correlated total CAMCOG and its subdomains with CSF Aβ42, T-tau, p-tau levels, and Aβ42/p-tau. Results: In the total sample, T-tau and Aβ42/p-tau correlated with the total CAMCOG ( P < .01); all biomarkers correlated with memory ( P < .001); T-tau correlated with language ( P < .01). Conclusion: Memory and T-tau levels may be the most suitable parameters to reflect cognitive/CSF biomarker correlations. At present, such correlations are of little use in routine clinical practice.


2021 ◽  
Vol 13 ◽  
Author(s):  
Rong-Rong Lin ◽  
Yan-Yan Xue ◽  
Xiao-Yan Li ◽  
Yi-He Chen ◽  
Qing-Qing Tao ◽  
...  

Background: National Institute on Aging—Alzheimer's Association (NIA-AA) proposed the AT(N) system based on β-amyloid deposition, pathologic tau, and neurodegeneration, which considered the definition of Alzheimer's disease (AD) as a biological construct. However, the associations between different AT(N) combinations and cognitive progression have been poorly explored systematically. The aim of this study is to compare different AT(N) combinations using recognized biomarkers within the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort.Methods: A total of 341 participants were classified into cognitively unimpaired (CU; n = 200) and cognitively impaired (CI; n = 141) groups according to the clinical manifestations and neuropsychological tests. Cerebrospinal fluid (CSF) Aβ42 and amyloid-PET ([18F]flutemetamol) were used as biomarkers for A; CSF phosphorylated tau (p-tau) and tau-PET ([18F]flortaucipir) were used as biomarkers for T; CSF total tau (t-tau), hippocampal volume, temporal cortical thickness, [18F]fluorodeoxyglucose (FDG) PET, and plasma neurofilament light (NfL) were used as biomarkers for (N). Binary biomarkers were obtained from the Youden index and publicly available cutoffs. Prevalence of AT(N) categories was compared between different biomarkers within the group using related independent sample non-parametric test. The relationship between AT(N) combinations and 12-year longitudinal cognition was assessed using linear mixed-effects modeling.Results: Among the CU participants, A–T–(N)– was most common. More T+ were detected using p-tau than tau PET (p &lt; 0.05), and more (N)+ were observed using fluid biomarkers (p &lt; 0.001). A+T+(N)+ was more common in the CI group. Tau PET combined with cortical thickness best predicted cognitive changes in the CI group and MRI predicted changes in the CU group.Conclusions: These findings suggest that optimal AT(N) combinations to determine longitudinal cognition differ by cognitive status. Different biomarkers within a specific component for defining AT(N) cannot be used identically. Furthermore, different strategies for discontinuous biomarkers will be an important area for future studies.


2020 ◽  
Author(s):  
Rong-Rong Lin ◽  
Yan-Yan Xue ◽  
Xiao-Yan Li ◽  
Yi-He Chen ◽  
Qing-Qing Tao ◽  
...  

Abstract Background: National Institute on Aging—Alzheimer’s Association (NIA-AA) proposed the AT(N) system based on β-amyloid deposition, pathologic tau, and neurodegeneration, which considered the definition of Alzheimer’s disease (AD) as a biological construct. However, the associations between different AT(N) combinations and clinical stage and progression have been poorly explored systematically. The aim of this study is to compare different AT(N) combinations using recognized biomarkers within the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort.Methods: A total of 341 participants from ADNI cohort were classified into AT(N) groups, including 200 cognitively unimpaired (CU) participants and 141 cognitively impaired (CI) participants (101 mild cognitive impairment [MCI] and 40 Alzheimer’s disease [AD]). CSF Aβ42 and amyloid-PET ([18F]flutemetamol) were used as biomarkers for A; CSF phosphorylated tau (p-tau) and tau-PET ([18F]flortaucipir) were used as biomarkers for T; CSF total tau (t-tau), FDG-PET, hippocampal volume, temporal cortical thickness and plasma neurofilament light (NfL) were used as biomarkers for (N). Binarization of biomarkers was acquired from Youden index and public cutoffs. The relationship between different AT(N) biomarkers combinations and cognitive changes (longitudinal Mini-Mental State Examination scores and Clinical Dementia Rating Sum of Boxes) was examined using linear mixed modeling and coefficient of variation.Results: Among CU participants, A−T−(N)− variants were most common. More T+ cases were shown using p-tau than tau PET, and more N+ cases were shown using fluid biomarkers than neuroimaging. Among CI participants, A+T+(N)+ was more common. Tau PET combined with cortical thickness best predicted longitudinal cognitive decline in CI and MRI measurements in CU participants. Conclusion: These findings suggest that optimal combinations of biomarkers to determine AT(N) are differed by clinical stage. Different biomarkers within a specific component for defining AT(N) cannot be used identically. Furthermore, different strategies for discontinuous biomarkers will be an important area for the future studies.


2017 ◽  
Author(s):  
David Knopman

Genetic discoveries coupled with neuropathologic investigations initially established the central role for β-amyloidosis in Alzheimer disease (AD). Three dominantly inherited genes (APP, PSEN1, and PSEN2) and one common allelic variant with lower penetrance (APOE) account for the majority of the genetic basis for AD. PET biomarkers for AD have been developed in the past decade and are fundamentally altering our view of the disease. The availability of PET tracers, first for amyloid and now for tau, has enabled researchers to develop a model of AD that begins long before people become symptomatic. In persons destined to develop dementia due to AD, brain β-amyloid levels begin to rise 10 to 20 years earlier. Other imaging changes that might precede symptomatic disease include (1) reductions in brain metabolic activity in a group of temporal and parietal cortical association areas that can be demonstrated by [18F]fluorodeoxyglucose-PET scanning; (2) losses of hippocampal volume as measured on structural magnetic resonance imaging; and (3) loss of cortical thickness or cortical volume in temporal and parietal cortical association areas. All of these changes are greatly accentuated once people become symptomatic. Although mild elevations in tau PET abnormalities can also be seen in presymptomatic individuals, it is only when persons become symptomatic that marked elevations in these abnormalities begin to occur in those same temporal and parietal cortical association areas. Cerebrospinal fluid (CSF) biomarkers provide a complementary view, with CSF β-amyloid levels falling (presumably due to aggregation within the cortex) even before amyloid PET abnormalities are visible. CSF total tau and phospho-tau levels begin to rise when persons are much closer to being symptomatic. The sum of these observations has allowed researchers to gain a far more insightful antemortem view of the pathophysiology of AD in humans than had previously been available from neuropathologic investigations.  Keywords: β-amyloid, cerebrospinal fluid β-amyloid, cerebrospinal fluid phospho-tau, cortical thickness, [18F]fluorodeoxyglucose–positron emission tomography, hippocampal atrophy, preclinical Alzheimer disease, tau protein 


Neurology ◽  
2019 ◽  
Vol 92 (6) ◽  
pp. e601-e612 ◽  
Author(s):  
Rik Ossenkoppele ◽  
Ruben Smith ◽  
Tomas Ohlsson ◽  
Olof Strandberg ◽  
Niklas Mattsson ◽  
...  

ObjectiveTo examine the cross-sectional associations between regional tau, β-amyloid (Aβ), and cortical thickness and neuropsychological function across the preclinical and clinical spectrum of Alzheimer disease (AD).MethodsWe included 106 participants from the Swedish Biomarkers for Identifying Neurodegenerative Disorders Early and Reliably (BioFINDER) study, of whom 33 had preclinical AD (Aβ-positive cognitively normal individuals), 25 had prodromal AD (Aβ-positive mild cognitive impairment), and 48 had probable AD dementia. All underwent [18F]flortaucipir (tau) and structural MRI (cortical thickness), and 88 of 106 underwent [18F]flutemetamol (Aβ) PET. Linear regression models adjusted for age, sex, and education were performed to examine associations between 7 regions of interest and 7 neuropsychological tests for all 3 imaging modalities.ResultsIn preclinical AD, [18F]flortaucipir, but not [18F]flutemetamol or cortical thickness, was associated with decreased global cognition, memory, and processing speed (range standardized β = 0.35–0.52,p< 0.05 uncorrected for multiple comparisons). In the combined prodromal AD and AD dementia group, both increased [18F]flortaucipir uptake and reduced cortical thickness were associated with worse performance on a variety of neuropsychological tests (most regions of interest survived correction for multiple comparisons atp< 0.05), while increased [18F]flutemetamol uptake was specifically associated with lower scores on a delayed recall memory task (p< 0.05 uncorrected for multiple comparisons). The strongest effects for both [18F]flortaucipir and cortical thickness on cognition were found in the lateral and medial parietal cortex and lateral temporal cortex. The effect of [18F]flutemetamol on cognition was generally weaker and less region specific.ConclusionOur findings suggest that tau PET is more sensitive than Aβ PET and measures of cortical thickness for detecting early cognitive changes in preclinical AD. Furthermore, both [18F]flortaucipir PET and cortical thickness show strong cognitive correlates at the clinical stages of AD.


2017 ◽  
Author(s):  
David Knopman

Genetic discoveries coupled with neuropathologic investigations initially established the central role for β-amyloidosis in Alzheimer disease (AD). Three dominantly inherited genes (APP, PSEN1, and PSEN2) and one common allelic variant with lower penetrance (APOE) account for the majority of the genetic basis for AD. PET biomarkers for AD have been developed in the past decade and are fundamentally altering our view of the disease. The availability of PET tracers, first for amyloid and now for tau, has enabled researchers to develop a model of AD that begins long before people become symptomatic. In persons destined to develop dementia due to AD, brain β-amyloid levels begin to rise 10 to 20 years earlier. Other imaging changes that might precede symptomatic disease include (1) reductions in brain metabolic activity in a group of temporal and parietal cortical association areas that can be demonstrated by [18F]fluorodeoxyglucose-PET scanning; (2) losses of hippocampal volume as measured on structural magnetic resonance imaging; and (3) loss of cortical thickness or cortical volume in temporal and parietal cortical association areas. All of these changes are greatly accentuated once people become symptomatic. Although mild elevations in tau PET abnormalities can also be seen in presymptomatic individuals, it is only when persons become symptomatic that marked elevations in these abnormalities begin to occur in those same temporal and parietal cortical association areas. Cerebrospinal fluid (CSF) biomarkers provide a complementary view, with CSF β-amyloid levels falling (presumably due to aggregation within the cortex) even before amyloid PET abnormalities are visible. CSF total tau and phospho-tau levels begin to rise when persons are much closer to being symptomatic. The sum of these observations has allowed researchers to gain a far more insightful antemortem view of the pathophysiology of AD in humans than had previously been available from neuropathologic investigations.  Keywords: β-amyloid, cerebrospinal fluid β-amyloid, cerebrospinal fluid phospho-tau, cortical thickness, [18F]fluorodeoxyglucose–positron emission tomography, hippocampal atrophy, preclinical Alzheimer disease, tau protein 


2020 ◽  
Author(s):  
Olivia KL Hamilton ◽  
Ellen V Backhouse ◽  
Esther Janssen ◽  
Angela CC Jochems ◽  
Caragh Maher ◽  
...  

AbstractBackgroundCognitive impairment is a key clinical feature of cerebral small vessel disease (SVD), but the full range of SVD-related cognitive impairments is unclear, and little is known about how they might vary across clinical and non-clinical manifestations of SVD.MethodsIn systematic searches of OVID MEDLINE, Embase, and PsychINFO from 1st January 1985 to 6th October 2019, we identified studies reporting cognitive test results for study participants with SVD and control participants without SVD. Using standardised group-level cognitive test data, we performed random effects meta-analyses in seven cognitive domains to test whether cognitive test scores differed between SVD and control groups. We conducted meta-regression analyses to test whether differences in age, education, or vascular risk factors between SVD and control groups, or whether different clinical manifestations of SVD (e.g. stroke, cognitive impairment, or non-clinical presentations) accounted for cognitive effect sizes.FindingsOf 8562 studies identified, we included 69 studies from six continents, published in four languages. These studies included 3229 participants with SVD and 3679 controls. Meta-analyses demonstrated that on average, control groups outperformed SVD cohorts on cognitive tests in all cognitive domains examined: executive function (estimate: -0.928; 95%CI: -1.08, -0.78); processing speed (-0.885; -1.17, -0.60); delayed memory (-0.898; -1.10, -0.69); language (-0.808; -1.01, -0.60); visuospatial ability (-0.720; -0.96, -0.48); reasoning (-0.634; -0.93, -0.34); and attention (-0.622; -0.94, -0.31; all p≤0.001). Meta-regression analyses suggested that differences in years of education between SVD and control groups may account for a proportion of the differences in performance on tests of executive function, visuospatial ability and language, and that cohorts with cognitive impairments performed more poorly on tests of executive function, delayed memory and visuospatial ability than cohorts with stroke or non-clinical presentations of SVD.InterpretationParticipants with SVD demonstrated poorer cognitive performance relative to control groups in all cognitive domains we examined. This effect was present for all presentations of SVD, reinforcing the need to test a range of cognitive domains in both clinical and research settings. Lower levels of education in SVD versus control participants may contribute to these effects, highlighting the need to account for educational level in the assessment of SVD-related cognitive impairment.FundingNone.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Anna Rosenberg ◽  
Alina Solomon ◽  
Vesna Jelic ◽  
Göran Hagman ◽  
Nenad Bogdanovic ◽  
...  

Abstract Background Determination of β-amyloid (Aβ) positivity and likelihood of underlying Alzheimer’s disease (AD) relies on dichotomous biomarker cut-off values. Individuals with mild cognitive impairment (MCI) and Aβ within the normal range may still have a substantial risk of developing dementia, primarily of Alzheimer type. Their prognosis, as well as predictors of clinical progression, are not fully understood. The aim of this study was to explore the associations of cerebrospinal fluid (CSF) biomarkers (Aβ42, total tau, phosphorylated tau) and other characteristics, including modifiable vascular factors, with the risk of progression to dementia among patients with MCI and normal CSF Aβ42. Methods Three hundred eighteen memory clinic patients with CSF and clinical data, and at least 1-year follow-up, were included. Patients had normal CSF Aβ42 levels based on clinical cut-offs. Cox proportional hazard models with age as time scale and adjusted for sex, education, and cognition (Mini-Mental State Examination) were used to investigate predictors of progression to dementia and Alzheimer-type dementia. Potential predictors included CSF biomarkers, cognitive performance (verbal learning and memory), apolipoprotein E (APOE) ε4 genotype, medial temporal lobe atrophy, family history of dementia, depressive symptoms, and vascular factors, including the Cardiovascular Risk Factors, Aging and Dementia (CAIDE) risk score. Predictive performance of patient characteristics was further explored with Harrell C statistic. Results Lower normal Aβ42 and higher total tau and phosphorylated tau were associated with higher dementia risk, and the association was not driven by Aβ42 values close to cut-off. Additional predictors included poorer cognition, APOE ε4 genotype, higher systolic blood pressure, and lower body mass index, but not the CAIDE dementia risk score. Aβ42 individually and in combination with other CSF biomarkers improved the risk prediction compared to age and cognition alone. Medial temporal lobe atrophy or vascular factors did not increase the predictive performance. Conclusions Possibility of underlying AD pathology and increased dementia risk should not be ruled out among MCI patients with CSF Aβ42 within the normal range. While cut-offs may be useful in clinical practice to identify high-risk individuals, personalized risk prediction tools incorporating continuous biomarkers may be preferable among individuals with intermediate risk. The role of modifiable vascular factors could be explored in this context.


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