Depressive symptoms are associated with cognitive-functional impairment in normal aging older adults (NA). However, less is known about this effect on people with mild Cognitive Impairment (MCI) and mild Alzheimer's disease dementia (AD). We investigated this relationship along with the NA-MCI-AD continuum by reanalyzing a previously published dataset. Participants (N = 274) underwent comprehensive neuropsychological assessment including measures of Executive Function, Language/Semantic Memory, Episodic Memory, Visuospatial Abilities, Activities of Daily Living (ADL), and the Geriatric Depression Scale. MANOVA, logistic regression and chi-square tests were performed to assess the association between depression and cognitive-functional performance in each group. In the NA group, depressed participants had a lower performance compared to non-depressed participants in all cognitive and functional domains. However, the same pattern was not observed in the MCI group or in AD. The results suggest a progressive loss of association between depression and worse cognitive-functional performance along the NA-MCI-AD continuum.
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http://dx.doi.org/10.3389/fpsyg.2015.02061 | DOI Listing |
Pain Med
January 2025
IRCCS IstitutoOrtopedico Galeazzi, Unit of Clinical Epidemiology, Milan, Italy.
Objective: To assess the effectiveness of cognitive functional therapy (CFT) in reducing disability and pain compared to other interventions in chronic spinal pain patients.
Methods: Five databases were queried to October 2023 for retrieving randomized controlled trials (RCTs), including patients with chronic spinal pain and administering CFT. Primary outcomes were disability and pain.
Diagnostics (Basel)
December 2024
Directorate of Research and Innovation, SPDC, Datta Meghe Institute of Higher Education and Research, Wardha 442001, India.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and is the most common cause of dementia. Early diagnosis of Alzheimer's disease is critical for better management and treatment outcomes, but it remains a challenging task due to the complex nature of the disease. Clinical data, including a range of cognitive, functional, and demographic variables, play a crucial role in Alzheimer's disease classification.
View Article and Find Full Text PDFArch Clin Neuropsychol
December 2024
Physiotherapy (Occupational Therapy) Department, Health Science School, University of Málaga, Málaga 29071, Spain, 29071.
Objective: Deficits in online self-awareness (SA) are common after acquired brain injury (ABI), leading to safety concerns and impacting daily activities and rehabilitation outcomes. Early identification is recommended as a critical first step in cognitive rehabilitation following ABI. The aim of this observational study was to examine differences in online SA and strategy use between individuals with ABI and healthy controls.
View Article and Find Full Text PDFNeurology
December 2024
From the Department of Neurology (J.B., C.J.R., I.K., A.E.M.B., Y.S.C., C.N.K., J.C.P.V., A.A.G.T., B.T., L.P.K., M.A.A.M.d.B., M.R.M., J.K., R.W.v.S., J.M.d.V., R.F.N., P.A.E.S.S., M.J.T.), Erasmus University Medical Center, Rotterdam; Department of Neurology (S.H.C.O.), Amsterdam University Medical Center; Department of Immunology (S.V.), Erasmus University Medical Center, Rotterdam; Laboratory of Medical Microbiology and Immunology Microvida (M.W.J.S.), Tilburg; and Department of Neurology & Alzheimer Center (E.v.d.B.), Erasmus University Medical Center, Rotterdam, the Netherlands.
Background And Objectives: Anti-NMDA receptor (anti-NMDAR) encephalitis generally manifests in young adults. Although 80%-90% returns to independence, the majority experience persistent cognitive and psychosocial difficulties. Studies have demonstrated that cognitive recovery may continue for years; the temporal trajectory is largely unknown, as are factors influencing cognitive/psychosocial recovery.
View Article and Find Full Text PDFJ Cheminform
November 2024
Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Sciences, Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
The adverse outcome pathway (AOP) concept has gained attention as a way to explore the mechanism of chemical toxicity. In this study, quantitative structure-activity relationship (QSAR) models were developed to predict compound activity toward protein targets relevant to molecular initiating events (MIE) upstream of organ-specific toxicities, namely liver steatosis, cholestasis, nephrotoxicity, neural tube closure defects, and cognitive functional defects. Utilizing bioactivity data from the ChEMBL 33 database, various machine learning algorithms, chemical features and methods to assess prediction reliability were compared and applied to develop robust models to predict compound activity.
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