[HTML][HTML] Efficacy of acetylcholinesterase inhibitors in Alzheimer's disease
G Marucci, M Buccioni, D Dal Ben, C Lambertucci…�- …, 2021 - Elsevier
Abstract Alzheimer's disease (AD), the most common cause of adult-onset dementia is
characterized by a progressive decline of cognitive functions accompanied by behavioral�…
characterized by a progressive decline of cognitive functions accompanied by behavioral�…
[HTML][HTML] History and progress of hypotheses and clinical trials for Alzheimer's disease
PP Liu, Y Xie, XY Meng, JS Kang�- Signal transduction and targeted�…, 2019 - nature.com
Alzheimer's disease (AD) is a neurodegenerative disease characterized by progressive
memory loss along with neuropsychiatric symptoms and a decline in activities of daily life. Its�…
memory loss along with neuropsychiatric symptoms and a decline in activities of daily life. Its�…
[HTML][HTML] Fastsurfer-a fast and accurate deep learning based neuroimaging pipeline
Traditional neuroimage analysis pipelines involve computationally intensive, time-
consuming optimization steps, and thus, do not scale well to large cohort studies with�…
consuming optimization steps, and thus, do not scale well to large cohort studies with�…
[HTML][HTML] A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology
The human thalamus is a brain structure that comprises numerous, highly specific nuclei.
Since these nuclei are known to have different functions and to be connected to different�…
Since these nuclei are known to have different functions and to be connected to different�…
[HTML][HTML] Brain aging mechanisms with mechanical manifestations
Y Blinkouskaya, A Ca�oilo, T Gollamudi…�- Mechanisms of ageing�…, 2021 - Elsevier
Brain aging is a complex process that affects everything from the subcellular to the organ
level, begins early in life, and accelerates with age. Morphologically, brain aging is primarily�…
level, begins early in life, and accelerates with age. Morphologically, brain aging is primarily�…
[HTML][HTML] Early-onset Alzheimer's disease: what is missing in research?
Abstract Purpose of Review Early-onset Alzheimer's disease (EOAD), defined as
Alzheimer's disease (AD) occurring before age 65, is significantly less well studied than the�…
Alzheimer's disease (AD) occurring before age 65, is significantly less well studied than the�…
Neurofilaments: neurobiological foundations for biomarker applications
Interest in neurofilaments has risen sharply in recent years with recognition of their potential
as biomarkers of brain injury or neurodegeneration in CSF and blood. This is in the context�…
as biomarkers of brain injury or neurodegeneration in CSF and blood. This is in the context�…
[HTML][HTML] An App knock-in rat model for Alzheimer's disease exhibiting Aβ and tau pathologies, neuronal death and cognitive impairments
A major obstacle in Alzheimer's disease (AD) research is the lack of predictive and
translatable animal models that reflect disease progression and drug efficacy. Transgenic�…
translatable animal models that reflect disease progression and drug efficacy. Transgenic�…
[HTML][HTML] Identification of Alzheimer's disease using a convolutional neural network model based on T1-weighted magnetic resonance imaging
The classification of Alzheimer's disease (AD) using deep learning methods has shown
promising results, but successful application in clinical settings requires a combination of�…
promising results, but successful application in clinical settings requires a combination of�…
[HTML][HTML] Early diagnosis of Alzheimer's disease using machine learning: a multi-diagnostic, generalizable approach
VS Diogo, HA Ferreira, D Prata…�- Alzheimer's Research &�…, 2022 - Springer
Background Early and accurate diagnosis of Alzheimer's disease (AD) is essential for
disease management and therapeutic choices that can delay disease progression. Machine�…
disease management and therapeutic choices that can delay disease progression. Machine�…