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Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials

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TLDR
The Alzheimer's Disease Neuroimaging Initiative (ADNI) has continued development and standardization of methodologies for biomarkers and has provided an increased depth and breadth of data available to qualified researchers.
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The article was published on 2017-04-01 and is currently open access. It has received 169 citations till now. The article focuses on the topics: Alzheimer's Disease Neuroimaging Initiative & Biomarker (medicine).

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Citations
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Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks

TL;DR: A deep learning algorithm is built and validated predicting the individual diagnosis of Alzheimer's disease and mild cognitive impairment who will convert to AD (c-MCI) based on a single cross-sectional brain structural MRI scan, demonstrating that it is exploitable by not-trained operators and likely to be generalizable to unseen patient data.
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Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images

TL;DR: This paper proposes a novel deep-learning-based framework to discriminate individuals with AD utilizing a multimodal and multiscale deep neural network and delivers 82.4% accuracy and 94.23% sensitivity in classifying individuals with clinical diagnosis of probable AD.
References
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Quantifying anatomical shape variations in neurological disorders

TL;DR: A data-driven global analysis of brain anatomy was able to reach similar conclusions as other studies in Alzheimer's disease based on predefined ROIs, together with the identification of other new patterns of deformation.
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Optimal treatment of Alzheimer’s disease psychosis: challenges and solutions

TL;DR: A review of atypical antipsychotic efficacy in Alzheimer’s disease (AD+P), followed by an overview of critical neurobiological observations that point towards a frontal, tau-mediated model of disease, and a new preclinical animal model for future translational research are suggested.
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Mapping the effect of the apolipoprotein E genotype on 4-year atrophy rates in an Alzheimer disease-related brain network.

TL;DR: The APOE ε4 allele is associated with accelerated rates of atrophy in 13 distinct brain regions in limbic and neocortical areas, suggesting the possibility of a genotype-specific network of related brain regions that undergo faster atrophyIn MCI and potentially contribute to cognitive decline.
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Genetic interactions found between calcium channel genes modulate amyloid load measured by positron emission tomography.

TL;DR: The results shown here support previous animal studies implicating interactions between these calcium channels in amyloidogenesis and suggest that the pathological cascade of this disease may be modified by interactions in the amyloids–calcium axis.
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Grey matter atrophy in mild cognitive impairment / early Alzheimer disease associated with delusions: a voxel-based morphometry study.

TL;DR: Greater right fronto-temporal grey matter atrophy was observed in MCI or early AD participants with delusions compared to matched patients without delusions, consistent with predictions, asymmetric greymatter atrophy in the right hemisphere may contribute to development of delusions through loss of executive inhibition.
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