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![]() ![]() We here describe the study protocol and baseline findings of the SENIOR observational study which aim is the establishment of integrated, multiparametric maps of normal aging and the identification of early biomarkers for neurodegeneration. There is no difference between the lower- and higher-risk groups in amyloid load using PET data from a subset of 81 subjects. Division of the cohort into subjects with a higher and lower risk profile shows significant differences in intra-subject across-test variability and volumes as well as cortical thickness of brain regions of the temporal lobe. Intra-subject across-test variability as a measure of neuropsychological test performance and possible cognitive marker predicts white matter volume and is significantly associated with risk profile. Cardiovascular risk factors were strongly associated with juxtacortical and periventricular lesions. Baseline results with multiple regression analyses reveal that cerebral white matter lesions can be predicted by cardiovascular and cognitive risk factors and age. ![]() One hundred forty-two participants (50% females) were enrolled in the SENIOR cohort with a mean age of 60 (SD 6.3) years at baseline. Our multimodal protocol includes structural, diffusion, functional, and sodium magnetic resonance imaging (MRI) at 3 T and 7 T, positron emission tomography (PET), blood samples, genetics, audiometry, and neuropsychological and neurological examinations as well as assessment of neuronal risk factors. The SENIOR study represents a longitudinal, observational study including cognitively healthy elderlies aged between 50 and 70 years old at the time of inclusion, being followed annually over 10 years. In this context, understanding physiological aging and its turning point into neurodegeneration is essential for the development of possible biomarkers and future therapeutics of brain disease. Dispersion was also correlated with anxiety in both LLMD and HC.ĭispersion is a marker of neurocognitive integrity that requires further exploration in LLMD.ĭispersion intraindividualvariability late-life depression neuropsychology.Current demographic trends point towards an aging society entailing increasing occurrence and burden of neurodegenerative diseases. Dispersion was correlated with white matter lesions in LLMD but not HC. Greater baseline dispersion predicted 1-year cognitive decline in LLMD patients even when controlling for baseline cognitive functioning and demographic and clinical confounders. Higher test dispersion was evident in LLMD when compared with nondepressed controls. LLMD participants also completed a comprehensive cognitive evaluation 1 year later. ![]() One-year cognitive data were available for 107 LLMD patients.Īll participants underwent detailed clinical and structural MRI at baseline. 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). Participants were enrolled in the Neurobiology of Late-Life Depression, a naturalistic longitudinal investigation of the predictors of poor illness course in LLMD. 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. We also explored demographic, clinical, and structural imaging correlates of dispersion in LLMD and HC. ![]() 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. Dispersion, or within-person performance variability across cognitive tests, is a potential marker of cognitive decline. Older adults with late-life major depression (LLMD) are at increased risk of dementia. ![]()
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