Search results for "alzheimer"

showing 10 items of 706 documents

Dementia in former amateur and professional contact sports participants : population-based cohort study, systematic review, and meta-analysis

2023

Background Although there is growing evidence that former professional athletes from sports characterised by repetitive head impact subsequently experience an elevated risk of dementia, the occurrence of this disorder in retired amateurs, who represent a larger population, is uncertain. The present meta-analysis integrates new results from individual-participant analyses of a cohort study of former amateur contact sports participants into a systematic review of existing studies of retired professionals and amateurs. Methods The cohort study comprised 2005 male retired amateur athletes who had competed internationally for Finland (1920–1965) and a general population comparison group of 1386 …

päämeta-analyysiprofessional sports participantsnyrkkeilijätamateur sports participantsamerikkalainen jalkapalloAlzheimerin tautipainijatmeta-analysisathletessystematic reviewurheilujalkapalloilijatcohort studyepidemiologykontaktitepidemiologiakohorttitutkimusAlzheimer’ssystemaattiset kirjallisuuskatsauksetdementiaurheilijat
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Radiomics Analysis of Brain [18F]FDG PET/CT to Predict Alzheimer’s Disease in Patients with Amyloid PET Positivity: A Preliminary Report on the Appli…

2022

Background: Early in-vivo diagnosis of Alzheimer’s disease (AD) is crucial for accurate management of patients, in particular, to select subjects with mild cognitive impairment (MCI) that may evolve into AD, and to define other types of MCI non-AD patients. The application of artificial intelligence to functional brain [18F]fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography(CT) aiming to increase diagnostic accuracy in the diagnosis of AD is still undetermined. In this field, we propose a radiomics analysis on advanced imaging segmentation method Statistical Parametric Mapping (SPM)-based completed with a Machine-Learning (ML) application to predict the diagnosi…

radiomics; Alzheimer’s disease; PET/CT; machine learningAlzheimer’s disease; machine learning; PET/CT; radiomicsmachine learningPET/CTradiomicsradiomicClinical Biochemistryradiomics; Alzheimer's disease; PET/CT; machine learningAlzheimer’s diseaseDiagnostics
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Physical activity may not be associated with long‐term risk of dementia and Alzheimer’s disease

2021

Background While it is well established that physical activity is associated with reduced risk of vascular and non‐vascular outcomes as well as mortality, evidence on the association between physical activity and dementia is inconsistent. We aimed to assess the associations of physical activity with the risk of dementia and Alzheimer’s disease (AD). Material and methods We analysed data on 2,394 apparently healthy men with good baseline cognitive function from the prospective population‐based Kuopio Ischaemic Heart Disease study. We assessed habits of physical activity at baseline using a 12‐month leisure‐time physical activity (LTPA) questionnaire. Using Cox regression, we calculated hazar…

risk factorcohort studyphysical activityriskitekijätAlzheimerin tautiAlzheimer’s diseasekohorttitutkimusfyysinen aktiivisuusdementia
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Epilepsy in neuropathologically verified Alzheimer's disease

2018

Purpose Subjects with Alzheimer’s disease (AD) have been shown to be at a higher risk for epilepsy. The vast majority of the previous studies have not included a full neuropathological examination. Methods The objective of this study was to assess the prevalence of epilepsy and clinicopathological characteristics in a well-defined study group of 64 subjects with AD. We evaluated the clinicopathological findings in 64 subjects (mean age at death 85 ± 8.6 years) from a longitudi-nal study cohort of patients with dementia. Results Eleven out of the 64 subjects (17%) had a history of epilepsy, which is comparable to previous studies. The subjects with AD and epilepsy were significantly younger …

ruumiinavausalzheimerneurodegenerationAlzheimerin tautiepilepsiadementianeurodegeneratiiviset sairaudet
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SOLID LIPID NANOPARTICLES CONTAINING AN ANTIOXIDANT COMPOUND IN ALZHEIMER’S DISEASE

2008

solid lipid nanoparticles drug delivery alzheimer's diseaseSettore CHIM/09 - Farmaceutico Tecnologico Applicativo
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Serum Vitamin D as a Biomarker in Autoimmune, Psychiatric and Neurodegenerative Diseases.

2022

Vitamin D is a steroid hormone regulating calcium-phosphorus homeostasis, immune response and brain function. In the past thirty years, an increasing number of cohort studies, meta-analyses and randomized controlled trials (RTCs) evaluated the serum levels of 25-hydroxyvitamin D [25(OH)D], which is considered the Vitamin D status biomarker, in patients affected by neurological, psychiatric and autoimmune diseases. Although an association between low 25(OH)D serum levels and the prevalence of these diseases has been found, it is still unclear whether the serum 25(OH)D measurement can be clinically useful as a biomarker for diagnosis, prognosis and predicting treatment response in neurodegene…

standardizationMedicine (General)25(OH)DClinical Biochemistrypsychiatric diseasesvitamin DReviewmultiple sclerosisR5-920Settore BIO/12 - Biochimica Clinica E Biologia Molecolare Clinicabiomarkerautoimmune diseasesneurodegenerative diseasesAlzheimer’s diseaseDiagnostics (Basel, Switzerland)
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Il ruolo della corteccia prefrontale dorsolaterale nella memoria di riconoscimento: uso dellla Stimolazione Magnetica Transcranica per il trattamento…

Il ruolo della corteccia prefrontale dorsolaterale (DLPFC) in compiti di memoria è stato largamente documentato. Una questione ancora molto dibattuta è il grado di lateralizzazione anatomica-funzionale dei processi di controllo esecutivo della DLPFC coinvolti nella memoria di riconoscimento. Il lavoro di tesi indaga le connessioni tra DLPFC e ippocampo mediante l’applicazione di tecniche di neuromodulazione dell’eccitabilità della DLPFC che consentano di accrescere l’attività ippocampale durante compiti di memoria di riconoscimento. I primi tre studi valutano gli effetti inibitori ed eccitatori della rTMS applicata alla DLPFC sulla performance in compiti di memoria di riconoscimento, in div…

stimolazione magnetica transcranica (rTMS)neuromodulazionecorteccia prefrontale dorsolaterale (DLPFC)Alzheimer‘s disease (AD)Settore M-PSI/02 - Psicobiologia E Psicologia FisiologicaMild Cognitive Impairment (MCI)memoria di riconoscimento; corteccia prefrontale dorsolaterale (DLPFC); stimolazione magnetica transcranica (rTMS); encoding; retrieval; Mild Cognitive Impairment (MCI); Alzheimer‘s disease (AD); neuromodulazione;memoria di riconoscimentoencodingretrieval
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Loneliness in adult people: its relationships with stress, health and hypothalamic-pituitary-adrenal axis functioning

2022

El sentiment de solitud és un dels principals problemes de les societats occidentals. En els últims anys els avanços en internet ens han portat a ser una societat més connectada que mai, a pesar d’açò, aquest sentiment s’està incrementant. Per sobreviure i prosperar, els éssers humans necessitem dels altres per satisfer les necessitats d’afecte, pertinença i reconeixement. D’aquesta manera, la solitud sorgeix de la discrepància entre les relacions íntimes i socials desitjades i les reals. La investigació indica que la solitud està relacionada amb l’estrès i amb diverses conseqüències en la salut tant física com psicològica. Aquesta es pot experimentar al llarg de la vida, encara que és més …

stressearly life stresslonelinessalzheimer disease:PSICOLOGÍA [UNESCO]healthpsychologysubjective cognitive declinecortisolUNESCO::PSICOLOGÍAhypothalamic-pituitary-adrenal axis
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Onset of Insulin Resistance in Hippocampal Synapses After Traumatic Brain Injury: Relevance to Alzheimer’s disease and Therapeutic Implications

synapseinsulin resistancetraumatic brain injuryAlzheimer's disease
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Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining

2012

Purpose: The aim of this study was to demonstrate that modern data mining tools can be used as one step in reducing the labor necessary to produce and maintain systematic reviews. Methods: We used four continuously updated, manually curated resources that summarize MEDLINE-indexed articles in entire fields using systematic review methods (PDGene, AlzGene, and SzGene for genetic determinants of Parkinson disease, Alzheimer disease, and schizophrenia, respectively; and the Tufts Cost-Effectiveness Analysis (CEA) Registry for cost-effectiveness analyses). In each data set, we trained a classification model on citations screened up until 2009. We then evaluated the ability of the model to class…

text classificationTechnology Assessment BiomedicalDatabases FactualComputer scienceCost-Benefit AnalysisReview Literature as TopicHardware_PERFORMANCEANDRELIABILITYEmpirical Researchcomputer.software_genre03 medical and health sciences0302 clinical medicineMeta-Analysis as TopicAlzheimer DiseaseHardware_INTEGRATEDCIRCUITSData MiningHumanssupport vector machineOriginal Research Article030212 general & internal medicineGenetics (clinical)030304 developmental biologyGenetics0303 health sciencesParkinson DiseasePipeline (software)3. Good healthmeta-analysisReview Literature as Topicmachine learningSchizophreniaData miningPeriodicals as Topiccomputercitation screeningSoftwareGenetics in Medicine
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