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N. Davda et al.
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Cristina D'Abramo et al.
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Eva Auso et al.
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Taeho Jo et al.
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Nicola Coley et al.
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Taeho Jo et al.
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Su Yang et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2019)
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Ian R. Duffy et al.
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Daniel Stamate et al.
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Dominic B. Dwyer et al.
Annual Review of Clinical Psychology (2018)
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Hongyoon Choi et al.
BEHAVIOURAL BRAIN RESEARCH (2018)
Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study
Vijay R. Varma et al.
PLOS MEDICINE (2018)
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Karteek Popuri et al.
NEUROIMAGE-CLINICAL (2018)
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Eugene Lin et al.
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Rui Wang et al.
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Lon Schneider
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Blood levels of D-amino acid oxidase vs. D-amino acids in reflecting cognitive aging
Chieh-Hsin Lin et al.
SCIENTIFIC REPORTS (2017)
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Craig Ritchie et al.
COCHRANE DATABASE OF SYSTEMATIC REVIEWS (2017)
An overview on D-amino acids
Giuseppe Genchi
AMINO ACIDS (2017)
Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials
Michael W. Weiner et al.
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In Vivo Cortical Spreading Pattern of Tau and Amyloid in the Alzheimer Disease Spectrum
Hanna Cho et al.
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Adam J. Schwarz et al.
BRAIN (2016)
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Jennifer Weuve et al.
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Martin Dyrba et al.
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C. Madeira et al.
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Mild to Moderate Alzheimer Dementia with Insufficient Neuropathological Changes
Alberto Serrano-Pozo et al.
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Inna Radzishevsky et al.
CURRENT OPINION IN CLINICAL NUTRITION AND METABOLIC CARE (2013)
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Sebastien Sultan et al.
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Jean-Pierre Mothet et al.
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Mark J. Niciu et al.
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Introduction to the recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
Clifford R. Jack et al.
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Guy M. McKhann et al.
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Shaomin Li et al.
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The clinical use of structural MRI in Alzheimer disease
Giovanni B. Frisoni et al.
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Cerebrospinal fluid and plasma biomarkers in Alzheimer disease
Kaj Blennow et al.
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Neuropathology of nondemented aging: Presumptive evidence for preclinical Alzheimer disease
Joseph L. Price et al.
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Shaomin Li et al.
NEURON (2009)
Memory and the NMDA Receptors
Fei Li et al.
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Core candidate neurochemical and imaging biomarkers of Alzheimer's disease
Harald Hampel et al.
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Herman Wolosker et al.
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Natural oligomers of the Alzheimer amyloid-β protein induce reversible synapse loss by modulating an NMDA-type glutamate receptor-dependent signaling pathway
Ganesh M. Shankar et al.
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Staging of Alzheimer disease-associated neurofibrillary pathology using paraffin sections and immunocytochemistry
Heiko Braak et al.
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Pathways towards and away from Alzheimer's disease
MP Mattson
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Glutamate and the glutamate receptor system:: a target for drug action
S Bleich et al.
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