Incidence of mild cognitive impairment and dementia in Parkinson's disease: The Parkinson's disease cognitive impairment study [PDF]
, 2019 Background: Cognitive impairment in Parkinson's disease (PD) includes a spectrum varying from Mild Cognitive Impairment (PD-MCI) to PD Dementia (PDD). The main aim of the present study is to evaluate the incidence of PD-MCI, its rate of progression to ...
Baschi R. +9 more
core +1 more source
Depression in Cognitive Impairment [PDF]
Current Psychiatry Reports, 2013 Depression and cognitive disorders, including dementia and mild cognitive impairment, are common in the elderly. Depression is also a common feature of cognitive impairment although the symptoms of depression in cognitive impairment differ from depression without cognitive impairment.
Christopher Marano +3 more
openaire +3 more sources
Secondary prevention in cognitive frailty: the Treviso Dementia Registry
Geriatric Care, 2016 Dementia is one of the most disabling health conditions for older people. Increasing attention is paid to the preclinical phase such as cognitive frailty and mild cognitive impairment, and to the prevention programs designed to reduce the number of ...
Maurizio Gallucci
doaj +1 more source
Cognitive impairment and decline in cognitively normal older adults with high amyloid-β: A meta-analysis [PDF]
, 2016 IntroductionThis meta-analysis aimed to characterize the nature and magnitude of amyloid (Aβ)-related cognitive impairment and decline in cognitively normal (CN) older individuals.MethodMEDLINE Ovid was searched from 2012 to June 2016 for studies ...
Baker, Jenalle E +6 more
core +2 more sources
Identifying the most predictive risk factors for future cognitive impairment among elderly Chinese [PDF]
arXiv, 2023 Introduction. The societal burden of cognitive impairments in China has prompted researchers to develop clinical prediction models aimed at making risk assessments that enable preventative interventions. However, it is unclear which risk factors best predict future cognitive impairment and if predictive ability is consistent across different ...
arxiv
Cerebral Circulation - Cognition and Behavior, 2023 : Background: High blood pressure variability (BPV), particularly in older age, appears to be an independent risk factor for incident dementia. The current study aimed to investigate the association between different BPV measures (short- and mid-term ...
D.S. Gutteridge +4 more
doaj
Circadian rest-activity rhythms predict cognitive function in early Parkinson's disease independently of sleep [PDF]
, 2018 BACKGROUND: Cognitive impairment is a common and debilitating symptom of Parkinson's disease (PD), and its etiology is likely multifactorial. One candidate mechanism is circadian disruption. Although there is evidence of circadian abnormalities in PD, no
Cronin-Golomb, Alice +4 more
core +1 more source
Journal of Integrative Neuroscience, 2022 Background: Cognitive interventions (CIs) in the elderly are activities that seek to improve cognitive performance and delay its deterioration. Our objectives were to study potential genetic predictors of how a CI program may influence immediate and ...
Pedro Montejo Carrasco +4 more
doaj +1 more source
Prechemotherapy Levels of Plasma Dehydroepiandrosterone and Its Sulfated Form as Predictors of Cancer-Related Cognitive Impairment in Patients with Breast Cancer Receiving Chemotherapy. [PDF]
, 2019 Study objectiveDehydroepiandrosterone (DHEA) and its sulfated form (DHEAS)-jointly referred to as DHEA(S)-are neurosteroids known to regulate brain development and function that have been found to be positively correlated with cognitive function.
Bansal, Sumit +6 more
core +2 more sources
Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairment [PDF]
arXiv, 2022 Mild cognitive impairment(MCI) is a precursor of Alzheimer's disease(AD), and the detection of MCI is of great clinical significance. Analyzing the structural brain networks of patients is vital for the recognition of MCI. However, the current studies on structural brain networks are totally dependent on specific toolboxes, which is time-consuming and ...
arxiv