EEG spectral analysis as a putative early prognostic biomarker in nondemented, amyloid positive subjects

• Published in: Neurobiology of aging Vol. 57; pp. 133 - 142
• Main Authors: Gouw, Alida A., Alsema, Astrid M., Tijms, Betty M., Borta, Andreas, Scheltens, Philip, Stam, Cornelis J., van der Flier, Wiesje M.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.09.2017
• Subjects: Aged; Alzheimer Disease - diagnosis; Alzheimer Disease - metabolism; Alzheimer's disease; Amyloid beta; Amyloid beta-Peptides - metabolism; Biomarkers; Clinical progression; Cognitive Dysfunction - diagnosis; Cognitive Dysfunction - metabolism; Disease Progression; Early Diagnosis; Electroencephalography; Female; Humans; Internal Medicine; Male; Middle Aged; Neurology; Prognosis; Prognostic biomarker; Proportional Hazards Models; Electroencephalography; Clinical progression; Amyloid beta; Alzheimer's disease; Prognostic biomarker

We studied whether electroencephalography (EEG)-derived measures of brain oscillatory activity are related to clinical progression in nondemented, amyloid positive subjects. We included 205 nondemented amyloid positive subjects (63 subjective cognitive decline [SCD]; 142 mild cognitive impairment [M...