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      Disentangling sex-dependent effects of APOE on diverse trajectories of cognitive decline in Alzheimer’s disease

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          Abstract

          Current diagnostic systems for Alzheimer’s disease (AD) rely upon clinical signs and symptoms, despite the fact that the multiplicity of clinical symptoms renders various neuropsychological assessments inadequate to reflect the underlying pathophysiological mechanisms. Since putative neuroimaging biomarkers play a crucial role in understanding the etiology of AD, we sought to stratify the diverse relationships between AD biomarkers and cognitive decline in the aging population and uncover risk factors contributing to the diversities in AD. To do so, we capitalized on a large amount of neuroimaging data from the ADNI study to examine the inflection points along the dynamic relationship between cognitive decline trajectories and whole-brain neuroimaging biomarkers, using a state-of-the-art statistical model of change point detection. Our findings indicated that the temporal relationship between AD biomarkers and cognitive decline may differ depending on the synergistic effect of genetic risk and biological sex. Specifically, tauopathy-PET biomarkers exhibit a more dynamic and age-dependent association with Mini-Mental State Examination scores ( p < 0.05), with inflection points at 72, 78, and 83 years old, compared with amyloid-PET and neurodegeneration (cortical thickness from MRI) biomarkers. In the landscape of health disparities in AD, our analysis indicated that biological sex moderates the rate of cognitive decline associated with APOE4 genotype. Meanwhile, we found that higher education levels may moderate the effect of APOE4, acting as a marker of cognitive reserve.

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          Regression Shrinkage and Selection Via the Lasso

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            Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers.

            In 2010, we put forward a hypothetical model of the major biomarkers of Alzheimer's disease (AD). The model was received with interest because we described the temporal evolution of AD biomarkers in relation to each other and to the onset and progression of clinical symptoms. Since then, evidence has accumulated that supports the major assumptions of this model. Evidence has also appeared that challenges some of our assumptions, which has allowed us to modify our original model. Refinements to our model include indexing of individuals by time rather than clinical symptom severity; incorporation of interindividual variability in cognitive impairment associated with progression of AD pathophysiology; modifications of the specific temporal ordering of some biomarkers; and recognition that the two major proteinopathies underlying AD biomarker changes, amyloid β (Aβ) and tau, might be initiated independently in sporadic AD, in which we hypothesise that an incident Aβ pathophysiology can accelerate antecedent limbic and brainstem tauopathy. Copyright © 2013 Elsevier Ltd. All rights reserved.
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              Cognitive reserve in ageing and Alzheimer's disease.

              The concept of cognitive reserve provides an explanation for differences between individuals in susceptibility to age-related brain changes or pathology related to Alzheimer's disease, whereby some people can tolerate more of these changes than others and maintain function. Epidemiological studies suggest that lifelong experiences, including educational and occupational attainment, and leisure activities in later life, can increase this reserve. For example, the risk of developing Alzheimer's disease is reduced in individuals with higher educational or occupational attainment. Reserve can conveniently be divided into two types: brain reserve, which refers to differences in the brain structure that may increase tolerance to pathology, and cognitive reserve, which refers to differences between individuals in how tasks are performed that might enable some people to be more resilient to brain changes than others. Greater understanding of the concept of cognitive reserve could lead to interventions to slow cognitive ageing or reduce the risk of dementia. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                9215515
                20498
                Neuroimage
                Neuroimage
                NeuroImage
                1053-8119
                1095-9572
                27 April 2024
                15 April 2024
                12 April 2024
                04 May 2024
                : 292
                : 120609
                Affiliations
                [a ]Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, NC 27599, USA
                [b ]Department of Psychiatry, University of North Carolina at Chapel Hill, NC 27599, USA
                [c ]Department of Computer Science, University of North Carolina at Greensboro, NC 27412, USA
                [d ]Department of Statistics and Data Science, School of Management at Fudan University, Shanghai, 200433, PR China
                [e ]Department of Computer Science, University of North Carolina at Chapel Hill, NC 27599, USA
                [f ]Department of Genetics, Department of Biostatistics, University of North Carolina at Chapel Hill, NC 27599, USA
                [g ]UNC Neuroscience Center, University of North Carolina at Chapel Hill, NC 27599, USA
                Author notes
                [* ]Corresponding author at: Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, 354 Hanes Hall, Chapel Hill, NC 27599, USA. yfliu@ 123456email.unc.edu (Y. Liu)
                [** ]Corresponding author at: Department of Psychiatry, University of North Carolina at Chapel Hill, 343 Medical Wing C, 334 Emergency Room Dr., Chapel Hill, NC 27599, USA. grwu@ 123456med.unc.edu (G. Wu).
                Article
                NIHMS1989412
                10.1016/j.neuroimage.2024.120609
                11069285
                38614371
                8e589838-0463-4949-b7fc-316ea2281133

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

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                Neurosciences
                change point detection,ad biomarkers,dementia risks,sex difference,cognitive reserve
                Neurosciences
                change point detection, ad biomarkers, dementia risks, sex difference, cognitive reserve

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