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      Dissociating effects of aging and genetic risk of sporadic Alzheimer’s disease on path integration

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          Fitting Linear Mixed-Effects Models Usinglme4

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            “Mini-mental state”

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              Neuropathological stageing of Alzheimer-related changes

              Eighty-three brains obtained at autopsy from nondemented and demented individuals were examined for extracellular amyloid deposits and intraneuronal neurofibrillary changes. The distribution pattern and packing density of amyloid deposits turned out to be of limited significance for differentiation of neuropathological stages. Neurofibrillary changes occurred in the form of neuritic plaques, neurofibrillary tangles and neuropil threads. The distribution of neuritic plaques varied widely not only within architectonic units but also from one individual to another. Neurofibrillary tangles and neuropil threads, in contrast, exhibited a characteristic distribution pattern permitting the differentiation of six stages. The first two stages were characterized by an either mild or severe alteration of the transentorhinal layer Pre-alpha (transentorhinal stages I-II). The two forms of limbic stages (stages III-IV) were marked by a conspicuous affection of layer Pre-alpha in both transentorhinal region and proper entorhinal cortex. In addition, there was mild involvement of the first Ammon's horn sector. The hallmark of the two isocortical stages (stages V-VI) was the destruction of virtually all isocortical association areas. The investigation showed that recognition of the six stages required qualitative evaluation of only a few key preparations.
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                Author and article information

                Contributors
                Journal
                Neurobiology of Aging
                Neurobiology of Aging
                Elsevier BV
                01974580
                November 2023
                November 2023
                : 131
                : 170-181
                Article
                10.1016/j.neurobiolaging.2023.07.025
                37672944
                43bbc743-e83e-474b-837f-a3bb3c5af356
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

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                https://doi.org/10.15223/policy-004

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