Retinal nerve fiber layer thickness predicts CSF amyloid/tau before cognitive decline - Asanad, Samuel; Fantini, Michele; Sultan, William; Nassisi, Marco; Felix, Christian M.; Wu, Jessica; Karanjia, Rustum; Ross-Cisneros, Fred N.; Sagare, Abhay P.; Zlokovic, Berislav V.; Chui, Helena C.; Pogoda, Janice M.; et al. (PloS one, 2020)
Keywords: Aged; Aged, 80 and over; Algorithms; Alzheimer Disease - cerebrospinal fluid; Alzheimer Disease - diagnostic imaging; Alzheimer Disease - genetics; Alzheimer Disease - pathology; Alzheimer's disease; Amyloid beta-Peptides - cerebrospinal fluid; Amyloid beta-Peptides - genetics; Amyloid beta-protein; Amyloidosis - cerebrospinal fluid; Amyloidosis - diagnostic imaging; Amyloidosis - genetics; Amyloidosis - pathology; Biology and Life Sciences; Biomarkers; Biomarkers - cerebrospinal fluid; Care and treatment; Cerebrospinal fluid; Cognitive ability; Cognitive Dysfunction - cerebrospinal fluid; Cognitive Dysfunction - diagnostic imaging; Cognitive Dysfunction - genetics; Cognitive Dysfunction - pathology; Correlation analysis; Dementia; Development and progression; Disease; Female; Geffen, David; Genetic aspects; Health aspects; Humans; Laboratories; Longitudinal studies; Male; Medical research; Medicine; Medicine and Health Sciences; Middle Aged; Nerve Fibers - metabolism; Nerve Fibers - pathology; Neurodegenerative diseases; Neurosciences; Ophthalmology; Optic Disk - diagnostic imaging; Optic Disk - metabolism; Optic Disk - pathology; Optical Coherence Tomography; Pathology; Physiology; Regression models; Research and Analysis Methods; Retina; Retina - diagnostic imaging; Retina - metabolism; Retina - pathology; Retinal Ganglion Cells - metabolism; Retinal Ganglion Cells - pathology; Sensitivity; Signs and symptoms; Standard error; Tau protein; Tau proteins; tau Proteins - cerebrospinal fluid; tau Proteins - genetics; Thickness; Tomography; Tomography, Optical Coherence; United States; Canada; Los Angeles California; Italy; Ottawa Ontario Canada; United States--US