[HTML][HTML] Parkinson disease-associated cognitive impairment
Parkinson disease (PD) is the second most common neurodegenerative disorder, affecting>
1% of the population≥ 65 years of age and with a prevalence set to double by 2030. In …
1% of the population≥ 65 years of age and with a prevalence set to double by 2030. In …
Brain‐derived neurotrophic factor, depression, and physical activity: making the neuroplastic connection
C Phillips - Neural plasticity, 2017 - Wiley Online Library
Brain‐derived neurotrophic factor (BDNF) is a neurotrophin that is vital to the survival,
growth, and maintenance of neurons in key brain circuits involved in emotional and …
growth, and maintenance of neurons in key brain circuits involved in emotional and …
Early detection of Alzheimer's disease using magnetic resonance imaging: a novel approach combining convolutional neural networks and ensemble learning
Early detection is critical for effective management of Alzheimer's disease (AD) and
screening for mild cognitive impairment (MCI) is common practice. Among several deep …
screening for mild cognitive impairment (MCI) is common practice. Among several deep …
Rutin as a potent antioxidant: Implications for neurodegenerative disorders
AB Enogieru, W Haylett, DC Hiss… - Oxidative medicine …, 2018 - Wiley Online Library
A wide range of neurodegenerative diseases (NDs), including Alzheimer's disease,
Parkinson's disease, Huntington's disease, and prion diseases, share common mechanisms …
Parkinson's disease, Huntington's disease, and prion diseases, share common mechanisms …
Biomarkers used in Alzheimer's disease diagnosis, treatment, and prevention
YAR Mahaman, KS Embaye, F Huang, L Li, F Zhu… - Ageing research …, 2022 - Elsevier
Abstract Alzheimer's disease (AD), being the number one in terms of dementia burden, is an
insidious age-related neurodegenerative disease and is presently considered a global …
insidious age-related neurodegenerative disease and is presently considered a global …
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
For the last decade, it has been shown that neuroimaging can be a potential tool for the
diagnosis of Alzheimer's Disease (AD) and its prodromal stage, Mild Cognitive Impairment …
diagnosis of Alzheimer's Disease (AD) and its prodromal stage, Mild Cognitive Impairment …
Plasma phospholipids identify antecedent memory impairment in older adults
Alzheimer's disease causes a progressive dementia that currently affects over 35 million
individuals worldwide and is expected to affect 115 million by 2050 (ref. 1). There are no …
individuals worldwide and is expected to affect 115 million by 2050 (ref. 1). There are no …
Mini‐Mental State Examination (MMSE) for the detection of Alzheimer's disease and other dementias in people with mild cognitive impairment (MCI)
I Arevalo‐Rodriguez, N Smailagic… - Cochrane database …, 2015 - cochranelibrary.com
Background Dementia is a progressive global cognitive impairment syndrome. In 2010,
more than 35 million people worldwide were estimated to be living with dementia. Some …
more than 35 million people worldwide were estimated to be living with dementia. Some …
Modifiable predictors of dementia in mild cognitive impairment: a systematic review and meta-analysis
Objective: Public health campaigns encouraging early help seeking have increased rates of
mild cognitive impairment (MCI) diagnosis in Western countries, but we know little about …
mild cognitive impairment (MCI) diagnosis in Western countries, but we know little about …
Automatic detection of Alzheimer's disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers
Predicting Alzheimer's disease (AD) progression is crucial for improving the management of
this chronic disease. Usually, data from AD patients are multimodal and time series in …
this chronic disease. Usually, data from AD patients are multimodal and time series in …