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10.3389/fnins.2018.00275 http://scihub22266oqcxt.onion/10.3389/fnins.2018.00275 C5936981!5936981!29760644     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Neurosci 2018 ; 12 (ä): ä Nephropedia Template TP {{tp|p=29760644|t=2018. An Algorithm for Preclinical Diagnosis of Alzheimer s Disease |pdf=|usr=}}{{29760644}} gab.com Text An Algorithm for Preclinical Diagnosis of Alzheimer s Disease JO: Front Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=29760644 #FOAvip Almost all Alzheimer's disease (AD) therapeutic trials have failed in recent years. One of the main reasons for failure is due to designing the disease-modifying clinical trials at the advanced stage of the disease when irreversible brain damage has already occurred. Diagnosis of the preclinical stage of AD and therapeutic intervention at this phase, with a perfect target, are key points to slowing the progression of the disease. Various AD biomarkers hold enormous promise for identifying individuals with preclinical AD and predicting the development of AD dementia in the future, but no single AD biomarker has the capability to distinguish the AD preclinical stage. A combination of complimentary AD biomarkers in cerebrospinal fluid (A?42, tau, and phosphor-tau), non-invasive neuroimaging, and genetic evidence of AD can detect preclinical AD in the in-vivo ante mortem brain. Neuroimaging studies have examined region-specific cerebral blood flow (CBF) and microstructural changes in the preclinical AD brain. Functional MRI (fMRI), diffusion tensor imaging (DTI) MRI, arterial spin labeling (ASL) MRI, and advanced PET have potential application in preclinical AD diagnosis. A well-validated simple framework for diagnosis of preclinical AD is urgently needed. This article proposes a comprehensive preclinical AD diagnostic algorithm based on neuroimaging, CSF biomarkers, and genetic markers. Twit Text FOAVip An Algorithm for Preclinical Diagnosis of Alzheimer s Disease ????Front Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=29760644 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29760644 #FOAvip English Wikipedia <ref>{{Cite pmid|29760644}}</ref> An Algorithm for Preclinical Diagnosis of Alzheimer s Disease #MMPMID29760644 Khan TK Front Neurosci 2018[]; 12 (ä): ä PMID29760644show ga Almost all Alzheimer's disease (AD) therapeutic trials have failed in recent years. One of the main reasons for failure is due to designing the disease-modifying clinical trials at the advanced stage of the disease when irreversible brain damage has already occurred. Diagnosis of the preclinical stage of AD and therapeutic intervention at this phase, with a perfect target, are key points to slowing the progression of the disease. Various AD biomarkers hold enormous promise for identifying individuals with preclinical AD and predicting the development of AD dementia in the future, but no single AD biomarker has the capability to distinguish the AD preclinical stage. A combination of complimentary AD biomarkers in cerebrospinal fluid (A?42, tau, and phosphor-tau), non-invasive neuroimaging, and genetic evidence of AD can detect preclinical AD in the in-vivo ante mortem brain. Neuroimaging studies have examined region-specific cerebral blood flow (CBF) and microstructural changes in the preclinical AD brain. Functional MRI (fMRI), diffusion tensor imaging (DTI) MRI, arterial spin labeling (ASL) MRI, and advanced PET have potential application in preclinical AD diagnosis. A well-validated simple framework for diagnosis of preclinical AD is urgently needed. This article proposes a comprehensive preclinical AD diagnostic algorithm based on neuroimaging, CSF biomarkers, and genetic markers. äAn Algorithm for Preclinical Diagnosis of Alzheimer s Disease (epmc).pdf DeepDyve Pubget Overpricing