Brain ERP components predict which individuals progress to Alzheimer's disease and which do not

Neurobiology of Aging

Volumn 32, Issue 10, 2011, Pages 1742-1755

  Chapman, Robert M ^a   McCrary, John W ^a   Gardner, Margaret N ^a   Sandoval, Tiffany C ^a   Guillily, Maria D ^a   Reilly, Lindsey A ^a   DeGrush, Elizabeth ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

Author keywords

Alzheimer's disease (AD); Biomarker; Diagnosis; Discriminant analysis; Early detection; EEG; Event Related Potentials (ERP); Mild Cognitive Impairment (MCI); Neurophysiology; Posterior probability; Prediction; Principal Components Analysis (PCA)

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; DISEASE COURSE; ELECTROENCEPHALOGRAM; EVENT RELATED POTENTIAL; FEMALE; HUMAN; MALE; MEMORY; MENTAL TASK; MILD COGNITIVE IMPAIRMENT; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; BRAIN; COGNITION DISORDERS; DISCRIMINANT ANALYSIS; DISEASE PROGRESSION; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; FEMALE; HUMANS; MALE; NEUROPSYCHOLOGICAL TESTS; PREDICTIVE VALUE OF TESTS; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS;

EID: 79551715740     PISSN: 01974580     EISSN: 15581497     Source Type: Journal    
DOI: 10.1016/j.neurobiolaging.2009.11.010     Document Type: Article

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