History and progress of hypotheses and clinical trials for Alzheimer's disease

PP Liu, Y **e, 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 …

Alzheimer's disease: past, present, and future

MW Bondi, EC Edmonds, DP Salmon - Journal of the International …, 2017 - cambridge.org
Although dementia has been described in ancient texts over many centuries (eg,“Be kind to
your father, even if his mind fail him.”–Old Testament: Sirach 3: 12), our knowledge of its …

Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning

A Abrol, Z Fu, M Salman, R Silva, Y Du, S Plis… - Nature …, 2021 - nature.com
Recent critical commentaries unfavorably compare deep learning (DL) with standard
machine learning (SML) approaches for brain imaging data analysis. However, their …

Understanding disease progression and improving Alzheimer's disease clinical trials: Recent highlights from the Alzheimer's Disease Neuroimaging Initiative

DP Veitch, MW Weiner, PS Aisen, LA Beckett… - Alzheimer's & …, 2019 - Elsevier
Introduction The overall goal of the Alzheimer's Disease Neuroimaging Initiative (ADNI) is to
validate biomarkers for Alzheimer's disease (AD) clinical trials. ADNI is a multisite …

Magnetoencephalography for brain electrophysiology and imaging

S Baillet - Nature neuroscience, 2017 - nature.com
We review the aspects that uniquely characterize magnetoencephalography (MEG) among
the techniques available to explore and resolve brain function and dysfunction. While …

Changes in the synaptic proteome in tauopathy and rescue of tau-induced synapse loss by C1q antibodies

B Dejanovic, MA Huntley, A De Mazière, WJ Meilandt… - Neuron, 2018 - cell.com
Synapse loss and Tau pathology are hallmarks of Alzheimer's disease (AD) and other
tauopathies, but how Tau pathology causes synapse loss is unclear. We used unbiased …

Multi-omics integration in biomedical research–A metabolomics-centric review

MA Wörheide, J Krumsiek, G Kastenmüller… - Analytica chimica …, 2021 - Elsevier
Recent advances in high-throughput technologies have enabled the profiling of multiple
layers of a biological system, including DNA sequence data (genomics), RNA expression …

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages

S Rathore, M Habes, MA Iftikhar, A Shacklett… - NeuroImage, 2017 - Elsevier
Neuroimaging has made it possible to measure pathological brain changes associated with
Alzheimer's disease (AD) in vivo. Over the past decade, these measures have been …

Alzheimer's disease risk genes and mechanisms of disease pathogenesis

CM Karch, AM Goate - Biological psychiatry, 2015 - Elsevier
We review the genetic risk factors for late-onset Alzheimer's disease (AD) and their role in
AD pathogenesis. More recent advances in understanding of the human genome …

[HTML][HTML] Layer-wise relevance propagation for explaining deep neural network decisions in MRI-based Alzheimer's disease classification

M Böhle, F Eitel, M Weygandt, K Ritter - Frontiers in aging …, 2019 - frontiersin.org
Deep neural networks have led to state-of-the-art results in many medical imaging tasks
including Alzheimer's disease (AD) detection based on structural magnetic resonance …